evaluation and research of report

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Submitted to: Submitted by: ALUATION D RESêRCH OF ENVIRONMTAL IMPACTS OF MECIÊL RVESTING IN lAKE OKEECHOBEE MID-COURSE SURY RERT South Florida Water Management District 3301 Gun Club Road West Palm Beach, FL 33416-4680 Mote Marine Laboratory 1600 City I sland Park Sarasota, F lorida 34236 (813) 388-4441 L. Kellie Dixon, Senior Chemist Principal Investigator Selvakumaran Mahadevan, Ph.D. Director, Mote Marine Laboratory March 11, 1988 MML #87-335

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EVALUATION AND RESEARCH OF ENVIRONMENTAL IMPACTS OF MECHANICAL HARVESTING IN

lAKE OKEECHOBEE MID-COURSE SUMMARY

REPORT

South Florida Water Management District

3301 Gun Club Road West Palm Beach FL 33416-4680

Mote Marine Laboratory 1600 City Island Park Sarasota Florida 34236 (813) 388-4441

L Kellie Dixon Senior Chemist Principal Investigator

Selvakumaran Mahadevan PhD Director Mote Marine Laboratory

March 11 1988

MML 87-335

TABLE OF CONTENTS

I EXECUTIVE SUMMARY MID COURSE REPORT 1 - 1

II LAKE OKEECHOBEE LITERATURE REVIEW 2 - 1

III BIOMASS - MID-COURSE SUMMARY 3 - 1

IV WATER QUALITY SURVEYS 4 - 1

V PHYTOPLANKTONPRIMARY PRODUCTIVITY STUDIES 5- 1

VI COMMUNITY METABOLISM 6 - 1

VII SEDIMENT CHEMISTRY 7 - 1

VIII BENTHIC FAUNA IMPACTS 8- 1

IX LARVALJUVENILE FISH TASK 9 - 1

X BENEFITCOST ANALYSIS 10 - 1

EVALUATION AND RESEARCH OF IMPACTS

OF MECHAN I CAL WEED HARVEST I NG I N LAKE OKEECHOBEE

I EXECUT IVE SUMMARY - MID-COLIRSE REPORT

Mote Mari ne Laboratory assi sted by DSA

Envi ronmental Qual i ty Laboratory i s mi dway through

research project conducted for the South Fl ori da

Grou p I nc and

an eval uat i on and

Water Management

D i str i ct to assess the envi ronmental i mpacts of mechani cal harvest i ng of

Hydri l l a The harvest i ng and subsequent upl and d i sposal of materi al are

be i ng performed as a demonstrat i on project to eval uate the nutri ent

( part i cul arl y phosphorus ) removal potent i al and operati onal costs of th i s

techn i que The study s i te ( F i gure 1 1) i s on the northwestern shore of

Lake Okeechobee where approxi mate ly 1000 acres of Hydri 1 1 a are to be

harvested by I nternat i onal Sc i ence and Technol ogy I nc together wi th

L a ke Weed Cutt i ng Serv i ce I nc Spec i f i c i mpacts and s i te

characteri stics to be eval uated incl ude s i te b i omass water qual i ty

phytopl ankton and pri mary product i v i ty cOlMlun i ty metabol i sm sed i ment

chemi stry benth i c i nfauna and ep i phyte commun i t i es and l arval and

juven i l e f i sh popu l at i on s In add i tion a cost benefi t anal ysi s i s to be

performed address i ng the harvest i ng vari abl es and poss i bl e products to

opt i m i ze the cost effect i veness of harvesti ng A l i terature survey of

pert i nent top i cs i s al so i ncl uded as a separate tas k and the enti re

project i s conducted under the auspi ces of a Qual i ty Assurance program

des i gned to ensure the prec i s i on accuracy representat i veness and

compl eteness of al l data

The l i terature survey i s compl ete and over 400 annotated documents

have been comp i l ed i nto a cOlMlercial l y avai l abl e b i bl i ograph i c retri eval

system by key words Task members are abl e to request searches of th i s

database for i nformati on on top i cs spec i f i c to the i r tas k I n add i t i on

summari es o f i nformat i on on sel ected keywords such as Hydri l l a

phosphorous and others have been prepared a s Lake Fact Sheetsmiddot

The bi omass sampl i ng (August 19B7) was del i beratel y conducted i n

a wide range of growth cond i t i ons for eval uat i on of Hvdri l l a dens i t i es

and nutri ent content A cond i t i on i ndex was devel oped to eval uate pl ant

1-1

maturi ty Hvdri l l a senescence and peri phyton i nfestat i on was accompan i ed

by an areal decl i ne i n both bi omass and nutri ent content Max i mum

n i trogen and phosphorus t i ssue concentrat i ons were associ ated with ful l y

mature pl ants pri or t o senescence The presence o f other macrophytes was

respons i bl e for most wi thi n- stati on vari ati on Th i s task i nc i dental l y

d i scovered l arge seasonal d i fferences i n Hydr i l l a phosphorus and n i trogen

content Sampl es col l ected at the study s i te by ISampT duri ng J anuary

1988 were roughly f i ve t i mes h i gher i n phosphorus content than the

materi al col l ected by thi s project duri ng August 1987

Water qual i ty wi thi n the s i te represented an extremel y dynami c

system The i n fl uence of the Ki s s immee Ri ver and any other l ocal

d i sch arges produced d i l ut i on grad i ents across the s i te Vari at i ons i n

qual i ty were apparent between sampl i ng dates Numerous v i ol at i ons of the

i nstantaneous d i ssol ved oxygen cri ter ion (5 0 mgl ) were recorded

part i cu l arl y near the lake bottom Damp i ng of d i urnal oxygen extremes

was observed i n the harvested transects Al l n i trogen spec i es and total

phosphorous were h igher i n the unharvested transect waters than i n the

harvested transect The d i fference may be due e i ther to nutri ent

ut i l i zat i on i n the regrowth areas or to the rel ease of nutri ents from the

senescent Hydr i l l a mat present i n harvested areas The ent i re study s i te

was n i trogen l i mi ted wi th N P rat i os ( by we i ght ) of 3 0 i n the harvested

areas and 9 4 i n the unharvested control s

li ght penetrati on of the water at al l harvested stat i ons was

demonstrated to be s i gn i fi cantl y h i gher than at the unharvested control s

duri ng September onl y By January regrowth of Hvdri l l a produced

s l i ghtl y smal l er compensat i on depths on the harvested transect

Grad i ents i n l i ght penetrat i on were al so apparent wi th i n the experi mental

transect and may be rel ated to t ime s i nce harvest Vert i cal grad i ents

for in 1i1Y data were part i cul arly apparent at the weeded stat i ons

Bl ue-green al gae were the domi nant phytopl an kton taxa at al l

stat i ons d uri ng the September sampl i ngs Thi s domi nance was much reduced

duri ng J anuary when more green al gae were present Di vers i ty and number

of tax a i ncreased at four of the s i x stat i ons i n January but no

cons i stent pattern was apparent for e i ther harvested or control stat i ons

I n add i t i on there were no systemat ic d i fferences between harvested and

1 - 2

unharvested areas on the bas i s of spec i es compos i t i on Vari at i ons i n

chl orophyl l content al so were affected more by seasonal cond i t i ons than

by harvest i ng

The conunun i ty metabol i sm measurements conducted durlng September

1 987 i nd i cate probabl e d i fferences i n oxygen budgets for control and

harvested areas al though i n i t i al stat i st i cal methods d i d not establ i sh

the s i gni f i cance of such d i fferences Th i s was attri buted to anomal ous

data col l ected at a stat i on with unusual sed iment character i s t i cs ( h i ghly

organ i c unconsol idated f i ne grai ned mater i al in contrast to f i ne

grai ned sand ) Add i t i onal data analyses wi l l excl ude thi s stat i on from

cons i derat i on and future sampl i ngs wi l l be conducted at al ternate

l ocat i ons Di fferences by treatment duri ng the January sampl i ng were not

as pronounced as i n September and i nd i cate that regrowth of Hvdri 1 1 a with i n t hat peri od had offset harvest i ng e ffects

Sed i ment heterogenei ty was marked wi th i n the s i te with organ i c

w ith nutri ent content were fa i rl y l ow Organ i c content averaged 0 7

n i trogen 0 27 mgg total phosphorous 0 08 mgg and potass i um 0 49 mgg

on a dry we ight basi s Ni trate-n i tri te -n i trogen concentrati ons were l ess

than 1 of the total present Total n i trogen tota1 phosphorous rat i os

averaged 3 1 and were markedl y l ower than comparabl e rat i os i n e i ther t he

water col umn or the bi omass sampl es refl ect i ng a preferenti al

mobi l i zati on of n i trogen from s i te sed iments Few stat i st i cal l y

s i gn i f i cant d i fferences were detected a s a resul t o f w ith i n - stat i on

vari ati ons and the col l ect i on of more total phosphorus and total n i trogen

val ues are proposed for the second effort of th i s tas k

Data anal yses t o date for benth i c i nfauna i ncl ude preharvest and

postharvest cond i t i ons duri ng August and October respect i vel y The

August fauna was notabl y depauperate both i n taxa and numbers of

i nd i v i dual s wh i l e pronounced i ncreases in both were observed for

October D i urnal l y oxygen - poor cond i t i ons part i cul arl y duri ng August

may l i mi t benth i c fauna Spati al grad i ents were al so noted w ith

decreas i ng s pec i es ri chness and faunal dens i ti es at the southern end of

the study area Experimental and control stat i ons exh i bi ted s i mi l ar

faunal densi t i es and spec i es richness pri or to harvest wh i l e both

1 -3

parameters were substant i al ly greater at the harvested stat i ons duri ng

the October sampl i ng

Based on sampl i ngs i n September and J anuary the l arval and

juven i l e f i sh task col l ected 44 ( 2 1 ) of al l spec i es prev i ously reported

for Lake Okeechobee F i ve habi tats represent i ng both natural and

harvested edges and open water as wel l as heav i ly vegetated areas

were sampl ed Heterandria formosa LeDomi s sp and Gambus i a aff i nis

were the most abundant spec i es Centrarch i ds were the most abundant eggs

recovered The col l ect i on methods were f a i rly specif i c for part i cul ar

l i fe stage juven i l es were taken primari ly i n l i g ht trap sampl es whereas

postl arvae and eggs were taken i n pl ankton tows and Hvdri l l a sampl es

col l ected by the harvester LeDomi s s p appears to ut i l i ze al l fi ve

hab i tats dependent on l i festage No vert i cal strat i fi cat i on of organ i sms

was detected i n the weeded hab i tat and spec i es d i vers i t i es were

equ i val ent at both natural and harvested RedgesR of the Hydri l l a mat No

stat i s t i ca l ly s i gn i f i cant short term i mpacts of harvesti ng on spec i es

abundance or d i str i buti on are apparent

The cost-benefi t analys i s i s restri cted to eval uati ng mechan i cal

harvest i ng al one Benefi ts of thi s techni que wi th the except i on of

sal eabl e byproducts or costs assoc i ated wi th harvested mater i al are

pr i mari l y non -quanti fi abl e ( i mproved habi tat and water qual i ty boater

access nutri ent removal ) Therefore ranges of econom i c parameters wi l l

be ut i 1 i zed together wi th operat i ona 1 data from harvest i ng and

env i ronmental vari abl es from th i s project to present an economi cal l y

opt im i zed harvest i ng pl an to the Di stri ct

I n sunvnary no catastroph i c impacts due to mechan ical harvest i ng

have been detected i n the foregoi ng categori es al though subtl e

d i fferences have been determi ned by the study des ign Harvest i ng reduces

the amount of oxygen stress i n the study area and the nutri ent content of

the water col umn i s l ower i n the harvested than the unharvested areas

The s i te i s n i trogen l i mi ted based on water col umn sed i ment and pl ant

t i ssue anal yses Seasonal vari at i ons are l arge wi th respect to

d i fferences between harvested and unharvested areas for a l gal and l arval

fi sh popUl at i ons Spati al grad i ents were apparent i n many parameters

1 -4

The qual i ty assurance program associ ated wi th thi s project has

thus far conducted a systems aud i t for the pl an of study and at l east one

performance aud i t on f i e l dwork A Qual i ty Assurance Project Pl an has

been prepared and i s i n use as a project control document Aud i ts of

data management and anal ysi s are pl anned for the fi nal report i ng phase

At mi d -course sampl i ng anal yses and del i verabl es are on

schedul e and the project is operati ng wi th i n the budget No probl ems are

foreseen to prevent t imely compl eti on of the remai nder of the schedul ed

work Where al terati ons to speci f ic tasks have been recommended the

support for these efforts wi l l be obtai ned by real l ocati on of funds

wi th i n the project rather than by add i t i onal fund i ng

1-5

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lAKE (J(EECH08EE

Figure 11 Stu dy site l ocation Evaluation and research of impacts o f mechanical harves ting in Lake Okeechobee

I

I I LAKE OKEECHOBEE LITERATURE REV I EW

I I A INTRODUCTION

A 1 i terature rev i ew was conducted as a d i screte task of the

research project The Eval uat i on and Research of Impacts of Aquat i c Weed

Harvest i ng Demonstrat i on i n Lake Okeechobee cond ucted by Mote Mari ne

Laboratory The purpose of the l i terature rev i ew was to provide project

team members wi th economi c geol og i c hydrol og i c chemi cal and

b i ol og i cal i nformat i on on Lake Okeechobee wi th part i cu l ar emphas i s on

water qual i ty probl ems concern i ng phosphorus storage and cycl i ng between

the water col umn sed i ments and aquat i c weeds

I I B METHODS

Three techn i cal el ements were undertaken i n compl et i ng the

l i terature rev i ew 1) ident i fy i ng and search i ng i nformat i on 2) creat i ng

f i l es and 3 ) devel opi ng outputs

I nformati on was obtai ned by rev i ewi ng journal s for art i cl es

search i ng card catal ogs of area l i brar ies contact i ng major authors

conduct i ng research and request i ng key word searches of avai l abl e

computer l i brari es Journal s searched i ncl uded The Journal of Aquat i c

Pl ant Management Quarterly Journal o f the Fl ori da Academy o f Sci ences

( and Fl ori da Sc i ent i st ) L i mnol ogy and Oceanography Hydrobi ol og i a and

North Amer i can Journal of F i sher i es Management L i brari es vi s i ted

i ncl uded Un i vers i ty of South Fl or ida Uni vers i ty of Fl orid a Mote Mari ne

Laboratory Southwest Fl or ida Reg i onal Pl ann i ng Counci l South Fl ori da

Water Management D i str i c t and the Okeechobee off i ce of the Fl ori da Game

and Freshwater Fi sh Commi ss i on Key word l i terature searches were

c o n d u c t e d on d i qu at Lake O keechobee Hyd r i l l a and

nutr i entsaquat i c pl ants u s i ng searches avai l abl e from the Fl ori da

Department of Env i ronmental Regul at i on the Un i vers i ty of Fl ori da Aquati c

Weed Program and the U S Fi sh and Wi l d l i fe Servi ce

2-1

I I C PRODUCT

After rev i ew each publ icat i on was cited keyworded and annotated

u s i ng ARTF I LE vers i on 3 02 software for l i brar i es and b i bl i ographic

storage

Two outputs were devel oped from the comp i l ed i nformat i on 1 )

annotated c i tation s of each i nd i v i dual report and 2 ) Lake Fact Sheets

wh ich summari ze ava i l abl e i nformat i on on a spec i fic top ic requested by

members of t he study team Lake Fact Sheets and keyword b i bl i ographies

were d i stri buted t hroughout the course of the study as requested by

i nd i vi dual project members Lake Fact Sheets and a key word l i st

fol l ow Annotated c i tat i ons appear i n Append i x 2 A

2-2

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on AQUATIC PLANTS

Entri es i n Bi bl i ography 69

( For more deta i l s on spec i fic top ics pl ease see other fact sheets i e

hydri l l a b i omass harvest i ng etc )

Types of stud i es noted

- -Aquat ic pl ant ecol ogy (Moss 1980 23 Lugo and Snedaker 1971 113

Bl ackburn n 11 1968 128 Canfi el d et J 1983 260 Cassan i and

Caton 1985 352 Marshal l 1984 386)

- -Informat i on on aquat i c pl ant communi t i e s as habi tat (Wi l ey etI 1984

34 Durocher niI 1984 38 Mi l l eson nI 1980 40 Watki ns et I

1983 45 Ager and Kerce 1974 190 Sav i no et il 1985 196 Richard

n iI 1985 262)

- -Aquatic pl ant and sed i ment rel ati onsh i ps (Engel and N ichol s 1984 44

Barko and Smart 1986 106 Barko et 11 1983 147 L i et I 1974

108)

- -Aquat i c p l ant management ( Fl or ida DER nI 1986 415)

- - Nutrjent removal by aquat i c pl ants ( Reddy and DeBusk 1985 132)

- -Stud i es on harvest i ng aquat i c pl ants and the effects of harvest i ng

( Carpenter and Adams 1978 17 Sabol 1987 37 Mi ko l 1985 41

Wi l e 1978 57 Neel n 11 1973 114 N ichol s 1974 115

Smal l et

I 1985 130 Wi l e 1975 135)

- -Stud i es on chemical and other control s of aquat i c pl ants ( H i l t i bran n

J 1972 105 Ganstad 1978 110 deNoyel l es and Kett l e 1980 118

M i l on n 11 1986 119 Smal l et I 1985 130 Sutton and Vand i ver

1986 139 Lesl i e and Kobyl i nsk i 1985 255 Langel and and DeMont

1986 227 Barrett 1981 342 Barrett and Murphy 1982 344 Cl ayton

and Tanner 1982 355 Frank and Comes 1967 364 Graham 1976 369

Hughes and McCol l 1980 377 Richard et I 1984 426)

- -Aquat i c pl ant chem i s try and phys i ol ogy ( LaLonde 1970 107 Gerl off

1978 111 Gerl off 1973 112 Bri stow and Wh i tcombe 1971 136)

- - Chl orophyl l a concentrat i ons and aquat i c macrophytes ( Canfi e l d et I

1984 263)

2-3

Produced by Mote Marine Laboratory for South Florida Water Management District

- -B i omass stud i es and methods ( Schl oesser and Manny 1984 14 Mace i n a

J il 1984 33)

- -Uses for aquat i c weed s such as cattl e s i l age ( Bagnal l n l 1978

18) and compost (Wi l e g1 Jl 1978 19)

--Stud i es concern i ng Hydrilla vertic1llata ( Bagnal l 1980 18 Bol e and

Al l an 1978 15 P i erterse J il 1984 42 Bruner and Batterson 1984

43 Bowes 11 il 1979 47 Sutton 1982 52 Sutton and Port i er 1985

53 Sutton and Port i er 1983 57 McGhehee 1979 57 Bal c i unas 1985

116 Mart i n 1983 146 Johnston n Jl 1983 36 Canfi el d et l

1983 265 Mace i n a and Shi reman 1982 281 Hodgson and Carter 1982 423)

2-4

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fa c t She e t on BIOMASS

Entri es i n B i bl i ography 14

Types of stud i es noted

- -A troph i c state i ndex for l akes based on al gal bi omass (Carl son 1977

2)

- -Chl orophyl l -b i omas s - nutri ent rel ati onsh i ps for phytopl ankton (Canfi el d

et gl 1985 4)

--An assessment of bi omass control for water qual i ty management (Wong et

li 1979 9) --Methodol og ies for est imat i ng or measuri ng bi omass (Schl oesser and

Manny 1984 14 Mace i na g1 li 1984 33)

--Effects of harvest i ng or other weed control methods on aquat i c

vegetat i on b i omass (Mi kol 1985 41 Wi l e 1978 57 Cassani and Caton

1985 352 Hughes 1974 378 Sch i l l er 1983 398)

--B i omass measurements rel ati ng seasonal and b i otype vari at i ons i n

Hydr i l l a (Bowes et 11 1979 47 Steward 1987 408)

--Seasonal b i omas s of sel ected spec i es (Bowes et li 1979 47 Dewey et

l 19a1 266)

SUMMARY

Several stud i es use b iomass as a measure of aquat i c pl ant control

and as part of overal l assessments of water qual i ty management Mi ko 1

(1985) uses total pl ant bi omass measurements to asses s the effects of

mechan i cal harvesti ng on aquat i c vegetati on Wi l e (1978) al so presents

bi omass data as part of an assessment of envi ronmental effects of

mechan i cal harvesting Cassine and Caton (1985) asses s the same for

chem i cal and b i ol og i cal weed control Mace i na et li (1984) present a

method for est i mat i ng submersed pl ant bi omass by us i ng a record i ng

fathometer The i r data showed that the tech n i que i s not equal l y rel i abl e

for al l water bod i es However accurate b iomass determi nat i ons cou l d be

obt ai ned i f fathometer traci ngs are cal i brated w i th actual b i omas s data

Add i t i onal b iomass data for aquat i c p l ants are presented by Hughes

2-5

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

( 1974) Sch i l l er ( 1983 ) and Steward ( 1987 ) Bowes n il ( 1979) and

Steward ( 1987 ) present bi omass data for Hydri l l a i n Fl ori da

Canfi e l d et il ( 1985 ) address chl orophyl l - bi omass - nutri ent

rel at i onsh i ps for n atural assembl ages of Fl ori da phytopl ankton Carl son

( 1977 ) presents a troph i c state i ndex for l akes and uses al gal b i omass as

a parameter for the i ndex

2-6

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STU DY

Fact Sheet on D IQUAT

Entr i es i n B i bl i ography 84

Types of stud i es noted

- -Taxi c i ty data ( Mayer and El l ers i eck 1986 270 Berry and Schreck

1976 346 Funderburk and Lawrence 1967 366 Howe and Wri gt 1965

376 Kam W i ng and Furtado 1977 381 Naqui et Ai 1980 390)

- - Effects of d i quat on aquat i c commun i t i es ( H i l t i bran I 1972 105

Berry sl 1964 347 Cas san i and Caton 1985 352 Cal derban k 1972

351 C l ayton 1986 356 Dan i el 1972 358 G i l derhus 1967 368

Haag 1986 370 H i l senhoff 1966 372 Hughes and McCol l 1980 377

Joyce and Thayer 1986 379 Marshal l 1984 386 M i chaud 1979 387)

- -General chem i cal control gu i des and control of spec i fi c aquat i c

pl ants (Abery 1986 339 Barrett 1981 342 Barrett and Murphy 1982

344 Barrett and Logan 1982 345 Chevron Chemi cal Corp 1978 354

Hi l t i bran 1971 373 H i mel n li 1981 375 Ki l l gore 1984 383

Mac kenz i e 1966 385 Mobl ey n il 1971 388)

- -Di quat accumul ati on i n pl ants and sed i ments ( B i rmi ngham and Colman

1983 348 Dav i s and Seaman 1968 359 Frank and Comes 1967 364

Langeland and Warner 1986 384)

- - Experi mental data on herb i c i de treatments (Bri t i sh Col umbi a 1975

350 Clayton and Tanner 1982 355 Dunn et I 1983 362 Hal l er

1982 371 K i l l gore 1981 382 Newroth and L i m 1980 392)

- -Di quat u se wi th other types of control s (Charudattan 1986 353 Frank

AI 1979 365 Ganstad 1986 367 Graham 1976 369 Newroth

1974 391)

SUMMARY

I n add i t i on to the above noted stud i es three l i terature summari es and

rev i ews prov ide good i nformat i on on d i quat stud i es

Joyce and Ramey (1986) prov ide a good annotated rev i ew of 1 i terature

concern i ng research on the fate of aquat i c herb i c i de s i n water w i th

emphas i s on Fl ori d a s freshwater ecosystems Tucker (1980) rev i ews 50

c i tat i ons on d i quat c i tat i ons and prov ides a deta i l ed summary on the

2-7

Produced by Mote Marine Laboratory for South Florida Water Management District

foll ow i ng aspects of d i quat env i ronmental chemi stry adsorpt i on by so il

and cl ay mi neral s aerob i c and anaerob i c soi l stud i es soi l stud i es under

fi el d cond i t i ons aquat i c studi es soi l l eaching stud i es rotat i onal crop

stud i es photochem i cal degradat i on stud i es and mi croorgan i sm stud i es

Langel and and DeMont ( 1986 ) prov i de a thorough rev i ew of the l i terature

on the detect i on tox i c i ty and pers i stence of d i quat endotha1 1 and

f1 uri done They al so present speci fi c data on stud i es of the pers i stence

of d i quat endothal l and f1 uridone i n North Carol i na ponds and water

movement patterns i n Lake Wheel er North Carol i na

2-8

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on EUTROPHICATION

Entr i es i n Bi bl i ography 12

Types of stud i es noted

- -Eval uati ons of nutri ents i n eutroph i c l akes (Canfi el d 1983 5

Schi ndl er 1971 131 Michaud n ll 1979 387 Lee and Jones 1980

175)

- -Aquati c pl ant probl ems i n eutroph i c l akes (Graham 1976 369 Hughes

and McCol l 1980 377)

--Assess i ng eutroph i cati on based on water qual i ty stud i es ( Federi co et

Al 1981 67)

--Troph i c structure assessments and changes i n eutroph i c l akes ( Gayl e

1975 181 US Envi ronmental Protect i on Agency 1975 161)

SUMMARY

A number of stud i es address eutroph i cati on i n Lake Okeechobee

US Env i ronmental Protect i on Agency (1975 161) reports on Lake

Okeechobee as part of the Nat i onal Eutroph i cat i on Survey and a number of

state gency commi ttee stud i es and eng i neeri ng reports provi de anal yses

of Lake Okeechobee eutroph i cati on (MacGl l n AI 1976 174 Bl ack Crow

Ei dsness Inc 1976 185 Lee and Jone s 1980 175)

Us i g seven years of water qual i ty data Federi co et it 1 (1981

67) i dent i fy annual and seasonal l mnet i c water qual i ty trends exami ne

the re l at i o n s hi p to t r i but ary i n fl ow s i d en tify trends and

quali tyd i scharge rel ati onsh i p s cal cul ate annual l ake materi al budgets

for each year and assess the trophi c status of the 1 ake Gayl e (1975

181) presents a systems model for understanding eutrophicat i on i n Lake

Okeechobee

2-9

Produced by Mote Marine Laboratory for South Flori da Water Management District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on HARVESTING

Entr i es i n B i bl i ography 15

Types of stud i es noted

--Effects of harvesti ng aquat i c pl ants on nutr i ent removal ( Bol e and

Al l an 1978 15 Wi l e 1978 57 Neel et AI 1973 114)

--Compari sons of mechan ical and b i ol og i cal harvest i ng wi th herbi c i de

control ( Carpenter and Adams 1978 17 Smal l et AI 1985 130

Sch i l l er 1983 398)

--Di sposal of and uses for harvested hydri l l a ( Bagnal l et AI 1978 18

Sabol 1987 37)

--Harvest i ng effects on aquat i c fl ora and fauna (Mi kol 1985 41 Wi l e

1978 57 N i chol s 1974 115 Wi l e 1975 135 Schramm et AI 1985

212 Lesl i e and Kobyl i nsk i 1985 255)

- - Economi c s of mechani cal harvest i ng (McGhehee 1979 57)

- - Phys i cal propert i es of hydri l l a for harvesti ng ( Bagnal l 1980 59)

SUMMARY

Most of the stud i es address the effects of mechan i cal ly harvest i ng

aquat i c pl ants Bol e and Al l an (1978) report that the harvest i ng of

Hydr i l la vert i c illata woul d result i n the d i rect transfer of onl y a smal l

amount of phosphorus i n the soi l i nto the water and the organ i cal l y-bound

phosphorus removed i n harvested pl ants woul d be deri ved l argely from the

sed i ment and not the water body W i l e (1978) and Neel n AI (1973)

present data and anal yses on l ake nutri ent dynam i cs resul t i ng from

harvest i ng aquat i c pl ants W i l e (1978) al so presents data on al gae

phytopl an kton fi sh and water qual i ty changes

A number of other stud i es address harvest i ng affects on fl ora and

fauna Mi kol (1985) reports that harvest i ng pl ants al so removed from 2-

8 of the total stand i ng crop of juven i l e fi sh Lesl i e and Kobyl i ns ki

(1985) address benth i c macro i nvertebrate response to aquat i c vegetat i on

removal wh il e Sabol (1087) addresses the env i ronmental effects of aquat i c

d i sposal o f chopped hydr i l l a

2-10

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

Compar i sons of mechan i cal harvest i ng and herbi c i des address

phosphorus cycl i ng (Carpenter and Adams 1 978) and Smal l et Jl ( 1 985)

report that herbi c i des reduced aquat i c vegetat i on but d i d not el i mi nate

i t Us i ng grass carp as bi ol og i cal control s el im i nated or red uced the

vegetat i on depend i ng on the stocki ng rat i o ( Smal l et AI 1985 )

2-11

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on Hydrjlla vertic11l ata

Entri es i n B i bl i ography 37

Spec i fi c stud i es on hydri l l a i n Lake Okeechobee i ncl ude a

compari son of dens i ty data for Lake Okeechobee and three other areas of

Fl ori da wi th stud i es spec i fi c to the speci a l i zed reproducti ve structures

of hydri l l a (Sutton and Port i er 1985 53) and an ana lys i s of potass i um

n i trogen and phosphorus content i n hydri 11 a from Lake Okeechobee and

three other areas of Sout h Fl ori da ( Sutton and Porti er 1983 56)

Pl ants from Lake Okeechobee had the h i ghest concentrat i on s of each

Other types of stud i e s on hydri l l anoted

--Phys i cal and mechani cal propert i es of hydri l l a (Bagnal l 1980

59)

--Nutri ent uptake stud i es of hydri l l a (Bol e and Al l an 1978 15)

--Us i ng hydri l l a for s i l age ( Bagnal l et Al 1978 18)

--Methods for determi n i ng or est i mat i ng pl ant biomass (Maceina et

li 1984 33)

--Growth reproduct i on and l i fe hi story of hydril l a ( Langel and and

Sutto 1980 35 Bruner and Batterson 1984 43 Spencer et li 1987

48 Sutton 1982 52)

--Habi tat i mportance and ecol ogy of hydril l a communit i es and

al terations to hydril l a communities (Watkins et li 1983 45middot

Bowes et

li 1979 47 Bl ackburn et li 1968 128 Sutton and Vandiver 1986

139 Can f i el d n Al 1983 265 Mace i na and Sh i reman 1982 281

R i chard i1 Al 1985 396)

--Biol ogical control s of hyd ri l l a (Bal ciunas and Minno 1985 46

Bal ciunas 1985 116 Johnston et li 1983 36 Cas sani and Caton

1985 352)

--Mechanical control s of hydril l a (McGhehee 1979 57)

--Chemical control of hydri l l a (Martin 1983 146 Cassani and

Caton 1985 352 Frank et li 1979 365 Hughes 1974 378 Small et

Al 1985 404 Steward 1972 405 Steward 1982 406 Steward 1976

407 Steward 1987 408 Van 1985 419 Van et Al 1987 420)

2-12

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

SUMMARY

Most of the stud i es deal w ith ways to control Hydr i l l a

verticilJata as a nui sance weed The effects of harvest i ng Hydri l l a i s

frequent l y addressed wi th mi xed resul ts Bol e and Al l an ( 1978) report

that the harvest i ng of Hydri 1 1 a woul d resul t i n the d i rect transfer of

onl y a smal l amount of phosphorus in the so i l i nto the water and the

organ i cal ly-bound phosphorus removed i n the harvested pl ants woul d be

deri ved l argel y from the sed i ment and not the water body

Johnston g1 il ( 1 983 ) report on the recol oni zat i on of a smal l pond

wi th aquat i c vegetat i on where grass carp have been used to control

Hydrill a They demonstrate the feas i b i l i ty o f reduc i ng the compet i t i ve

advantage of Hydri l l a i n order to l l ow other spec i es to become

establ i shed but al so note that care must be exerc i sed i n sel ect i ng

repl acement spec i es Other aquat i c pl ants may grow as prol i fi cal l y as

the Hydri 1 1 a bei ng repl aced

Sabol ( 1 987) and Langel and and Sutton ( 1 980 ) report on the

regrowth of fragmented Hydri l 1 a w i th confl i ct i ng resul t s In f iel d

stud i es Sabol ( 1 987) tested the re -growth potent i al of chopped Hydri 1 1 a

and found that a very smal l port i on of fragments cou1 d produce new

g rowth Conversely Langel and and Sutton ( 1980 ) under control l ed

l aboratory and f i e l d cond i t i ons demonstrated that 40 of the pl ant

fragments wi th one or two nodes were capabl e of vegetat i ve reproduct i o n

Bagnal l 11 il ( 1984 ) eval uated the feas i b i l i ty o f us i ng Hydri l 1 a

for cattl e feed and Macei na 1 il ( 1 984 ) present a method for pred i cti ng

pl ant b i omass us i ng a record i ng fathometer

2-13

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on N ITROGEN

Entri es i n B i bl i ography 27

Types of stud i es noted

- - Land userunoff rel at i onsh i ps w i th nutri ents i ncl ud i ng n i trogen

( Feder i c o 1 977 3 )

- - Nutri ent i n fluences on aquat i c pl ants and phytopl ankton (Canfi el d et

li 1985 4 Can fi el d 1 983 5 Davi s 1980 20 Dav i s 1 982 27

P i eterse 1 984 42 Sutton and Port i er 1 983 56 Bl ac kburn et il

1 968 1 28 Reddy and DeBus k 1 985 13 2 Jones and Federi co 1 984 1 )

- - Water qual i ty stud i es that i ncl ude nitrogen parameters ( Lutz 1 977a

7 Lutz 1 977b 16 M i l ler 1 980 20 Mi l l er et li 1982 26 Dav i s

and Marshal l 1 975 65 Peverl y and Johnson 1 979 394 Jones 1 983

9 )

- - Nutri ent rel at i onsh i ps w i th the troph i c structure of l akes (Henri kson

11 il 1 980 32 Dye 11 il 1975 138)

- - N i trogen and other water qual i ty data for Lake Okeechobee ( Di c kson et

li 1978 66 Davi s and Marshal l 1975 65 Federi co g1 li 1981 67

Fre i betger 1972 69 Mi l l er 1975 70 Jones and Federi co 1984 1

Jones 1 983 9)

- -N i t rogen i nputs and l ake eutroph i cat i on ( Sch i ndl er 197 1 13 1

Feder i co et il 1981 67 Canfi el d 1 983 5 )

- -Den i tri ficat i on i n Lake Okeechobee (Messer et li 1979 1 43 Messer

and Brezon i c 1 984 1 58)

- -Geochemi cal exchanges across the sed i ment -water i nterface ( Burton et

il 1975 1 45 Messer and Brezon i c 1984 158 )

- -Model s pred i ct i ng n i t rogen concentrat i ons (Jones 1983 9 )

SUMMARY

Several stud i es prov i de data on n i trogen for Lake Okeechobee

(M i l l er 1 980 20 Di c kson et li 1978 66 ) Many of these prov ide

n i trogen data as part of l arger studies for i nstance Federi co et li

( 1981 67 ) summari ze seven years of water qual i ty data i n order to

ident i fy annual and seasonal trends cal cu l ate annual budgets and assess

2-14

Produced by Mote Marine Laboratory for South Florida Water Management District

the troph i c state of the l ake Two stud ies ( Fre i berger 1 972 69

Mi l l er 1 97 5 70) i ncl ude lake Okeechobee as part of l arger wet and dry

season nutri ent surveys of South Fl ori d a

Jones ( 1 983 9 ) eval uates the qual i ty o f d i scharges t o Lake

Okeechobee nutr i ent concentrat i ons affects of var i ous changes i n l ake

l evel s and the abi l i ty of var i ous model s to accuratel y pred i ct n i trogen

and phosphorus concentrat i ons Jones and Federi co ( 1984 I) al so apply

nutr i ent model smiddot to Lake Okeechobee Dav i s and Marshal l ( 1 975 65)

present i nformat i on on areal and seasonal vari at i on s of n i trogen l evel s

nutri ent l oad i ngs and budgets for Lake Okeechobee and other chemi stry

d ata

Sutton and Port i er ( 1 983 56) eval uate the potass i um n i trogen

and phosphorus content of Hydri l l a from fi ve l ocat i on s i n South F l ori da

Sampl es were eval uated for wi th i n 1 ocat i on vari abi l i ty and for between

l ocat i on vari abi l i ty and resul ts showed that pl ants from lake Okeechobee

had h i gher concentrat i ons of nutri ents than pl ants from other areas

2-15

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHOSPHORUS

Entr ies i n Bi bl i ography 135

Phosphorus stud i es speci fi c to Lake Okeechobee i ncl ude

- -An anal ys i s o f the effect o f reduced nutri ent l oad i ngs on Lake

Okeechobe chl orophyl l (Jones and Feder i co 1984 )

- -An eval u at i on of the qual i ty of d i scharges to l ake nutri ent

concentrat i on s (Jones 1983 )

- -An analys i s of the abi l i ty of vari ous model s to accurately pred i ct

phosphorus concentrat i on s (Jones 1983 )

- -A comp ari son of phosphorus content i n hydri l l a from Lake Okeechobee and

four other l ocat i ons (Sutton and Porter 1 983 )

- -Aer i a 1 and seasonal vari at i ons of phosphoru s 1 eve 1 s i n Lake Okeechobee

(Davi s and Marshal l 1975 )

-A survey of total ortho p l us aci d - hydrol yzabl e phosphorus ( P- P04)

dur i ng a peri od of h igh water and a peri od of l ow water at 1 1 stat i on s i n

Lake Okeechobee and several stat i ons el sewhere i n South Fl or1 da

(Fre i berger 1972 )

- -An anal ys i s of l i mi t i ng factors based on al gal assays on water sampl es

from 30 s i tes i n the Ki s s i mmee R i ver- Lake Okeechobee Bas i n (Dye tl AI

1 975 )

- - Stud i es on nutri ent exchange across the sed i ment-water i nterface

(Burton et il 1975 )

Add i t i onal l y spec i fi c phosphorus d ata for Lake Okeechobee and i t s

watershed are presented i n a number o f reports (Jones and Feder i co 1984

Jones 1983 Mil l er 1980 Davi s and Marshal l 1975 Fre i berger 1 972

Messer et il 1 979 Dye et il 1975 Burton et Al 1975 Lee and Jones

1975 Lutz 1 977 Mi l l er et il 1982 Di ckson et Al 1978 M i l l er 1975)

Regard i ng management pl an s for phosphorus l evel s t he Lake

Okeechobee Techni cal Commi ttee ( 1 986 ) recommended to reduce phosphorus

l oads by at l east 40 (based on the mod i fi ed Vol l enwe i der nutri ent

l oad i ng model s ) through a program of d i vers i ons and treatment

2-16

Produced by Mote Marine Laboratory for South Florida Water Management District

Stud i es out s i de the lake Okeechobee area wh i ch prov i de i nformat i on

val uabl e to the study of phosphorus i ncl ude

- - Uptake of phosphorus from sed i ment and the water col umn by pl ants ( Bol e

and Al l an 1978 Dav i s 1984 Dav i s 1982 Reddy and DeBus k 1985 Dav i s

and Harri s n d li i1 Al 1974)

- -The i nfl uence of 1 and use patterns and other control s on phosphorus

l evel s ( Federi co 1977 Mi chal ski i1 Al 1975)

- -The correl at ion of nutri ent l evel s w i th chl orophyl l and phytopl ankton

l evel s ( Canfi el d i1 Al 1985 )

- - I ndexi ng and model l i ng techn i ques for l akes us i ng phosphorus and

rel ated data ( Carl son 1977 Canfi el d 1983 Meri cas and Mal one 1984)

- - Data on removal of phosphorus by mechan i ca l l y harvest i ng pl ants

( Carpenter and Adams 1978 Wi l e 1978 )

- -Rel ati on sh i p between nutri ents and b i ol og i cal parameters ( Henri kson g1

Al 1980 Pi eterse 1984 Enn i s 197 5 Re i nertsen 1 986 )

- - Phosphorussed i ment i nteract i ons (Twi nch and Peters 1984 li et li

1 97 1

- -laboratory and other control l ed stud i es on the propert i es of phosphorus

( Shannon and lee 1966 li et li 197 1 )

--Other l i terature stud i es ( Sch i ndl er et Al 197 1 )

2-17

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHYTOPLANKTON

Entr i es i n B i bl i ography 8

Types of stud i es noted

- - Phytopl ankton stud i es for Lake Okeechobee (Marshal l 1977 1 2 Dav i s

and Marshal l 1975 65 Marshal l 1977 424 Jones and Federi co 1 984

1 )

- - Phytopl anktonnutri entl ake eutroph i cat i on rel at i onsh i ps (Canfi el d et

AI 1985 4 Sch i ndl er 1971 13 1 Hughes and McCol l 1 980 377 Jones

and Federi co 1 984 1 )

- - Phytopl ankton pri mary producti on methodol ogy ( Schearer et AI 1985

278)

--Phytopl ankton responses to aquat i c pl ant removal (R i chard et AI 1985

426)

SUMMARY

Dav i s and Marshal l ( 1975 65) present 2 - 12 years of

phytopl an kton dens i ty data for Lake Okeechobee as wel l as i nformat i on on

n i trogn and phosphorus l evel s ( areal and season al vari at i on s ) pri mary

product i v i ty changes in al gal popul at i on s nutr i ent l oad ings and

budgets ra i n fal l chemi stry dat a regress i on anal yses on bi ol og i cal

act i v i ty and chemi cal or phys i cal propert i e s and trophic state

Marshal l s ( 1 977 1 2 ) phytopl ankton dens i ty data for 1974 show peaks i n

May and September i n Lake Okeechobee Marshal l concl udes that Lake

Okeechobee exh i b i t s seasonal patterns and peri od i c i ty typ i cal of

temperate l akes al though the seasonal vari at i on i n den s i t i es i s typi cal

of a trop i cal l ake

Jones and Federi co ( 1984 1 ) present over four years of d ata on

chl orophyl l a pri mary product i v i ty phytopl ankton dens i t i es and domi nant

species They al so an al yze the effect of reduced nutri ent l oad i ng s on

L a ke Okeechobee chl orophyl l and concl ude that chl orophyl l and

product i v i ty l evel s have not changed substanti al l y dur i ng the study

peri od except that peak val ues were h i gher i n 1981

2-18

Produced by Mote Marine Laboratory for South Florida Water Management District

Canfi el d n li ( 1985 4) col l ected data from 165 Fl ori da l akes

and reported a s i gn i fi cant correl at i on between chl orophyl l a

concentrat i ons and phytopl ankton bi omass Mul t i pl e repress i on anal yses

i nd i cated that phytopl ankton bi omass was dependent on both the total

phosphorus and total n i trogen concentrati on Nutri ent-phytopl ankton and

Secch i - phytopl ankton rel ati onsh i ps for the Fl orida l akes had h i gher

coeffi c i ents of determi nat i on i f chl orophyl l a concentrat i ons rather than

bi omass data were used

2-19

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fa ct Sheet on PRIMARY PRODUCTIVITY

Entries in Bibl iography 11

Types of studies noted

- -General ecol ogy studies incl uding primary productivity (Fontaine and

Ewe l 1981 31)

- -Trophic studies of l akes (Henrikson it 11 1980 32)

--Nutrient infl uences on primary productivity (Davis and Harris no date

141)

- -Primary production methodol ogy (Shearer l1 11 1985 278)

--Primary production data in Fl orida (Odum 1974 169 Brezonic et 11

1979 155 Jones and Federico 1984 1 Davis and Marshal 1975 65

Marshal l 1974 424)

- -Seasonal primary productivi ty cycl es (Comita 1985 1195 Marshal l

1974 424)

SUMMARY

Severa 1 stud i es concern primary production in Lake Okeechobee

Brezonjc l1 11 (1979 155) report to the Fl orida Sugar Cane League on

factors affect i ng primary product ion n Lake Okeechobee Jones and

Federico (1984 1) present primary productivity data on Lake Okeechobee

for 1974-76 and 1979-82 as wel l as information on chl orophyl l a

phytop 1 ankton dens i ties and domi nant spec 1 es and an anal ys s of the

effect of reduced nutrient l oadings Their report concl udes that

ch l orophyl l and productivity l evel s have not c hanged substantial l y during

the study period except for peak val ues that were higher in 1981 and

overal l val ues were higher In the Lake s north end Marshal l (1974

424) add resses seasonal changes for primary productivity and

phytopl ankton He concl udes that considering primary productivity and

other factors Lake Okeechobee phytopl ankton dynamics resembl e temperate

l akes Davis and Marshal l (1975 65) present over two years of data on

chemical and biol ogical investigations of Lake Okeechobee incl uding

primary productivity

2-20

Produced by Mote Marine Laboratory for South Florida Water ManaQement District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet o n SED IMENTS

E ntr i es i n B i bl i ography 21

Types of stud i es noted

Most of the stud i es i nvol ve sedi ment nutr i ent ava i l abi l i ty fl uxes

and uptake by pl ants These i ncl ude reports on

-- Laboratory experiments to determi ne phosphorus uptake from the

sed i ments by Myri ophyl l ym and Hydri l l a ( Bol e and Al l an 1978 1 5 )

- - Phosphate exchange i n l ake sed i ments (Twi nch and Peters 1984 295 L i

et l 197 1 1 49 li Al 1973 )

- -Ava i l ab i l i ty of sedi ment phosphorus for macrophytes ( L i et l 1974

108)

- - Phosphorus fl uxes i n south Fl ori da marshes (Dav i s and Harri s no date

143 )

- -The i mportance of den i tr i fi cati on i n lake Okeechobee (Messer et l

1979 1 43 )

- -Geochemi cal exchanges across the sed i ment -water i nterface i n the

Ki s s i mmee Ri ver- Lake Okeechobee watershed ( Burton g1 l 1975 145)

- - lak sed i ment den i tri f i cat ion model s (Messer and Brezon i c 1 984 1 58)

There are al so a number of stud i es concern i ng the rel at i onsh i p of

sedi ment type and other factors to pl ant growth ( Bruner and Batterson

1984 43 Mart i n 1983 146 Barko et il 1983 147 Engel and

N i chol s 1 984 44 Barko and Smart 1986 106) pest i c i de and other

chemi cal res i dues i n sedi ments ( Pfeuffer 1985 298 Hughes and McCol l

1980 377 S i ms i man and Chesters 1976 402 )

SUMMARY

BUrton et l ( l979) documents the rol e of sed i ments i n determi n i ng

water qual i ty i n the Ki s s immee Ri ver-lake Okeechobee watershed wi th an

emphas i s on nutri ent exchange across the sed i ment -water i nterface They

a l so prov ide survey i nformat i on on sediment d i str i but i on and transport

Mes ser et l ( 1979) summari zes the i mportance of den i tr if i cat i on i n lake

Okeechobee i ncl ud i ng a d i scuss i on on the rol e of sedi ments i n the

2-21

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

den i tr i fi cat i on process

eval uat i on o f l ake sed i ment

Lake Okeechobee

Messer and Brezon i c ( 1 984 ) present an

den i tri fi cat i on model s and i ncl ude data from

Dav i s and Harri s ( n d ) provi de est i mates of phosphorus fl uxes

wh i ch d i rectly contri bute to uptake through pl ant growth and to retent i on

through pl ant detri tus sed i mentat i on for the Evergl ades Conservat i on Area

2

2-22

LAKE OKEECHOBEE LITERATURE REVIEW

LIST OF KEY WORDS

ABUNDANCE ( 2 ) ADSORPTION ( 2 ) AGE (1) AGRICULTURE (1) ALGAE (14) ALGAL BIOASSAY (1) ALGICIDES ( 2 ) ALKALI N I TY (1) ALKALOIDS (1) ALTERNANTHERA ( 2 ) ALTERNATHERA (1) AMMONIA (1) AMPH I PODS (1) ANALYSIS OF COVARIANCE (1) ANIMAL BEHAVIOR (1) ANIMALS ( 2 ) AQUATHOL (1) AQUATIC PLANT CHEMISTRY (1) AQUATIC PLANTS (76) AQUATIC ORGANISMS ( 2 ) AQUATIC ( 1 ) AQUIFER ( 2 ) ARGULUS ( 1 ) ARTHROPODS ( 1 ) ATHERINE FISH (1) BACKPUMPING ( 2 ) BACTERIA ( 3 ) BASS (18) BEACH HAB ITATS ( 2 ) BEHAVIOR ( 2 ) BENTHOS (9 ) BEST MANAGEMENT PRACTICES (1) B IOACCUMULATION (1) BIOASSAY (1) BIOLOGICAL CONTROL (8) BIOLOGY ( 6 ) BIOMASS (15) BIOTIC ASSESSMENT (1) BIOTYPES (1) BIRDS ( 2 ) BLACK CRAPPIE (19) BLACK BULLHEADS (1) BLUEGILL ( 1 2 ) BODY FORM ( 2 ) BREEDING (1) BROMAC I L (1) BROOK SILVERSIDE (1) CABOMBA (1)

2-23

CADDISFLIES (1) CADMIUM (1) CALLITRICHE (1) CALOOSAHATCHEE RIVER (5) CANALS ( 2 ) CARBON (1) CARBONATE ROCKS (1) CARBOXYLASE (1) CAREX (1) CATTAI LS (1) CATTLE FEED (1) CENTRARCHIDS (5) CERATOPHYLLUM (5) CHAIN PICKEREL ( 1 ) CHANN ELS ( 1 ) CHAOBORUS (1) CHARA ( 6 ) CHEMICAL CONTROL ( 66 ) CHEMISTRY (10) CHIRONOMID LARVAE (1) CHIRONOMIDS (1) CHLORIDE (4) CHLORINATED HYDROCARBONS (1) CHLOROPHYLL (11) CLADIUM ( 2 ) CLASSIFICATION (1) COEFFICIENT OF DETERMINATION (1) COMMERCIAL FISHERY (2 ) COMMUNI TIES (1) COMMUNITY STRUCTURE ( 7 ) COMPETITION ( 3 ) COMPOST (1) COMPUTER MODELS (1) CONFINING BEDS (1) CONTOUR MAPPING (1) CONTROLLED RELEASE (1) COPEPODS (1) COPPER ( 9 ) COPPER SULFATE (1) CORE SAMPLER (1) COST BENEFIT ANALYSIS (1) CRUSTACEANS ( 2 ) CTENOPHARYNGODON IDE (2 ) CULTURAL CONTROL ( 2 ) CYANATRYN (1) DALAPON (4) DEGRADATION ( 3 ) DEMOGRAPHY (1)

DENITRIFICATION (1) DENSITY (6) DESORPTION (1) DETENTIONRETENTION ( 1 ) DETRITUS (1) DEVELOPMENT (2) DIATOMS (1) DICHLOBENIL (2) DIPOTASSIUM ENDOTHAL ( 1 ) DIQUAT (89) DISCHARGE ( 1 ) DISPERS ION (1) DISSOLVED OXYGEN (14) DISSO LVED SOLIDS (2) DISTRIBUTION (16) DIURNAL (1) DRAINAGE (4) DREDGING (1) DYSTROPHIC (1) EARLY DEVELOPMENT (2) ECOLOGY (15) ECONOMIC ANALYSIS (1) ECONOMICS (1) ECOSYSTEM (1) EFFLUENT REDUCTION (1) EFFLUENT (1) EGERIA (6) EICHHORNIA (13) ELODEA (20) EMBRYO ( 1 ) ENDOTHAL-POTASSIUM ( 1 ) ENDOTHALL (20) ENTRAINMENT (2) EPIPHYTES (1) EUTROPHICATION (12) EVERGLADES ( 9 ) EVERGLADES COUNTY (1) EXOGENOUS FEEDING (2) EXPLORATION (2) FAUNA (2) FEEDING ( 9 ) FEEDING RELATIONSHIPS (2) FENAC (5) FIRST YEAR SURVIVAL ( 1 ) FISH (130) FLOOD CONTROL (1) FLOODING ( 1 ) FLORIDA (31) FLORIDA EVERGLADES (1) FLORIDA LAKES (4) FLORIDA DUCK (1) FLORIDAN AQUIFER (2)

2-24

F LOW RATES (1) F LURIDONE (9) FOOD CHA I NS (1) FOOD HABITS (2) FOOD (6) FORAGE ( 1 ) FORAGING ( 1 ) FREQUENCY ANALYSIS (1) FRESHWATER SPECIES (1) FRESHWATER DISCHARGE ( 1 ) FRESHWATER (27) FRESHWATER MARSH (1) GEOLOGY ( 9 ) GERMINATION (1) GIZZARD F I SH (1) GIZZARD SHAD (2) GLADES COUNTY (9) GLYPHOSATE ( 6 ) GRAPNEL SAMPLER (3) GRASS CARP (8 ) GREAT BRITAIN ( 6 ) GROUNDWATER (5) GROWTH (11) GROWTH INHIBITORS (1) HABITAT (2) HABITAT PARTITION ING (1) HARVESTING (7) HAUL SEINE ( 1 ) HENDRY COUNTY (9) HERBICIDES (47) HEXAZINONE ( 1 ) HIGHlANDS COUNTY (1) HISTORY (3) HOST SPECIFICITY (1) HYDRILLA (42) HYDROCARBONS (1) HYDROCOTYLE (1) HYDROGEOLOGY (2) HYDROLOGY (17) HYDROPERIOD CHANGES (1) HYGROPHILA (1) HYPERmiddotEUTROPHIC (1) ICHTHYOFAUNA (1) ICHTHYOPLANKTON (2) IDENTIFICATION KEY (1) IDENTIFICATION GUIDE (10) IMAZAPYR (1) IMPOUNDMENTS (3) IMPROVING CATCH (1) INDICATOR SPECIES (1) INORGANIC PHOSPHATE (1) INSECT CONTROL (1)

INSECTS (4) INVERTEBRATES (9) IRON (2) IRON CHELATE (1) IRR IGAT ION (2) ISOPODS (1) JASM INE (1) JUNCUS (2) JUVEN ILE F ISH (5) K ISS IMMEE R IVER (11) LABORATORY STUD IES (1) LAGAROS I PHON (3) LAKE LEVELS (2) LAKE WANAKA (1) LAKE CONWAY (1) LAKE OKEECHOBEE (89) LAKE DRAWDOWN (1) LAKES (75) LAND USE (6) LARGEMOUTH BASS (16) LARVAE (1) LARVAL F ISH (25) LEAF PRODUCTION (1) LEMNA (8 ) LEPOMIS (1) L IFE HISTORY ( 9 ) L IGHT INTENSITY (1) L IGHT TRAPS (1) L IMNOLOGY (2) LI MNO PH I LA (1) L ITERATURE SURVEY (5) L ITHOLOG IC ANALYSIS (3) L ITTORAL (12) L ITTORAL ZONE (9) LOTAC (3) MACRO INVERTEBRATES (12) MACROPHYTES (18) MANAGEMENT PLAN (3) MANGANESE (3) MARION COUNTY (3) MARSH PLANTS (3) MARTIN COUNTY (27) MASS BALANCE MODEL (3) MATERIAL BUDGET (3) MATHEMAT ICAL MODELLING (3) MATHEMATICAL MODELS (3) MECHAN ICAL CONTROL (15) MECHANICAL HARVEST ING (24) METHODS ( 9 ) M ICROBES (3) MICROPTERUS (6) MINERAL RETENTION (3)

2-25

MINERAL ADSORPTION (3) M INERAL NUTRITION (3) MINERALIZATION (3) M ISS ISSI PPI S ILVERSIDE (3) MODELING (6) MODELS (12) MOLLUSKS (3) MONITOR ING (15) MORPHOLOGY (3) MORTALITY (12) MOTHS (3) MOWING (3) MYOMERE NUMBERS (3) MYR IOPHYLLUM (84) MYSIDS (3) NAIDIDAE (3) NAJAS (18) NEKTON (3) NEMATODES (3) NEOCHETINA (6) NETS (6) N ICKEL (3) N ITRATES (3) N ITROGEN (81) NORTHERN P IKE (3) NUPHAR ( 9 ) NUTR IENTS (141) OCALA GROUP (3) OKEECHOBEE COUNTY (33) OKLAWAHA R IVER (3) OL IGOCHAETES (3) OLIGOTHROPHIC (6) ORANGE LAKE (3) ORGANIC MATTER (3) OSCEOLA COUNTY (3) OXYGEN (9) PALAEOLIMNOLOGY (3) PALM BEACH COUNTY (30) PAN ICUM (67) PARAQUAT (39) PARTICULATE MATTER (3) PASPALUM (3) PATHOGENS (3) PERI PHYTON (3) PERSISTENCE (9) PESTICIDES (27) PH ( 9 ) PHOSPHATE (15) PHOSPHORUS (135) PHOTOSYNTHES IS (12) PHYS IOLOGY (12) PHYTOPLANKTON (27)

PHYTOTOXICITY (3) PIKE (3) PISCIVOROUS FISH ( 6 ) PISTIA (15) PLANKTON (15) PLANNING (3) PLANT SUCCESSION (9) PLANT HARVESTING (9) PLANT ABUNDANCE ( 6 ) PLANT DENSITY (3) PLANT COMMUNITIES (9) PLANT SURVEY TECHNIQUES (9) PLANT COMPOSITION (9) PLANT NUTRITION (3) PLANT GROWTH ( 6 ) PLANT BIOMASS (3) POLLUTION (3) POLLUTION CONTROL (3) POLYCHAETES (3) POLYMER ( 6 ) POMACEA (3) POHOXIS ( 6 ) PONAR GRAB SAMPLER (9) PONDS ( 6 ) POPULATION DYNAMICS (9) POPULATION (21) POTAMOGETON (57) POTASSIUM (9) PREDATION (3) PREDATOR - PREY (15) PRIMARY PRODUCTION (36 ) PROPAGU1ES (3) PUMP STATIONS (3) PUMPING (3) RADAR (3) RADIOPHOSPHORUS (3) RAINFALL (18) RANUNCULUS ( 6 ) RATS (3) RECLAMATION ( 3 ) RECORDING FATHOMETER (3) RECRUITMENT (3) REDBREAST SUNFISH (3) REDEAR SUNFISH (3) REFERENCES (3) REGRESSION ANALYSIS (15) RELEASE RATES (3) REMOTE SENSING (3) REPRODUCTION (12) RESERVOIRS (51) RESIDUES (27) RESOURCE PARTITIONING (9)

2-26

RESPIRATION (3) REVIEW (3) RIVERS (42) RUNOFF (33) SAGITTARIA (3 ) SALVINIA (18) SAMPLING (15) SAMPLING METHODS ( 6 ) SAMPLING GEAR (3) SCIRPUS (3) SEA LEVEL RISE (3) SEASONAL EFFECTS (12) SEASONAL SUCCESSION (3 ) SEASONAL (9) SECCHI DISK (9) SEDIMENTARY ROCKS (3 ) SEDIMENTS (78) SEEPAGE (12) SEWAGE DISCHARGES (3) SHAD (15) SHINERS (3) SHOREFLIES (3) SHORELINE AREAS (3 ) SILICA (3) SILICON (3) SIZE CLASS ( 6 ) SNAILS (3) SODIUM ALGINATE ( 6 ) SODIUM (3) SOILS (9) SOUTH FLORIDA (24) SPARGANIUM (3 ) SPAWNING (21) SPECIES DIVERSITY (3 ) SPECIES COMPOSITION (3 ) SPECIFIC CONDUCTANCE (15) SPOTTED BASS (3 ) ST LUCIE ESTUARY (3 ) ST JOHNS RIVER (3 ) ST LUCIE COUNTY (3 ) STANDING CROP (15) STOCHASTIC LAKE MODELS (3 ) STORHWATER (3) STRATIGRAPHY ( 6 ) STREAMS (9) SUNFISH (18) SURFACE DISCHARGES (3) SURFACE WATER (21) SURFACTANTS ( 6 ) SURVIVAL ( 3 ) SUSPENDED SOLIDS (3 ) SWIM PROGRAM ( 3)

TAYLOR CREEK (6) TAYLOR CREEK WATERSHED (3) TEMPERATURE (9) TENNESSEE (6) TERRESTRIAL (6) THREADFIN SHAD (15) TILAPIA (3) TOXICITY (36) TRACE METALS (3) TRANSMISSIBILITY (3) TRANSPARENCY (6) TROPHIC STRUCTURE (30) TUBER PRODUCTION (3) TUBER DENSITY (3) TURBIDITY (12) TURION (9) TYPHA (9) UPPER TAYLOR CREEK (3) USGS (3) UTILIZATION (3) UTRICULARIA (3) VALLISNERIA (15) VAUCHERIA (3) VEGETATED HABITATS (3) VEGETATION (15) VEGETATIVE PROPAGULES (3) VEGETATIVE REPRODUCTION (6) VELOCITY (3) VERTEBRATES (3) WASTELOAD ALLOCATION (6) WASTEWATER TREATMENT (6) WASTEWATER (3) WATER SUPPLY (12) WATER RECYCLING (3) WATER LEVELS (6) WATER CONSERVATION AREA 2A (3) WATER CHEMISTRY (21) WATER QUALITY (Ill) WATER MANAGEMENT (6) WATER LEVEL (9) WATER CIRCULATION (3) WATER BUDGET (3) WATERSHED ANALYSIS (3) WEIGHT DISTRIBUTION (3) WEIR BOX (3) WET AND DRY SEASON (9) WETLANDS (9) WHITE CRAPPIE (6) WILDLIFE (3) WITHLACOOCHEE RIVER (6) WOLFFIA (3) XYLENE (6)

2-27

ZINC (3) ZOOLOGY (3) ZOOPLANKTON (21)

I I I BIOMASS - M ID-COURSE SUMMARY

I I I A INTRODUCT ION

The experimental removal of Hydr i l l a vert i c i 1 1 ata R i s bei ng

conducted to prov ide removal of nutr i ents phosphorus i n part icul ar from

Lake Okeechobee as wel l as the anc i l l ary benefi ts of i ncreased fi sh

hab i tat and nav igat i onal acces s To determi ne benefi ts and costs of

removal an i ndependent est i mate of both b i omass and nutri ent content of

vert i ci l l ata has been conducted

The bi omass sampl i ng effort was conducted i n August 1987 and was

compl eted pri or to the actual harvest i ng Stat i ons were concentrated i n

the area of the Hydri l l a mat but some non -Hydr i 1 1 a spec i es were al so

col l ected Sampl i ng l ocat i ons were sel ected on the bas i s of qual i tat i ve

cl ass i ficati ons of Hydri l l a growth character i s t ics

Based on fi e l d reconna i ssance i n Aprll and Ju l y 1987 a

s ubstant i al amount of spati al nonhomogene i ty i n both weed dens i ty and

spec i es compos i t i on was observed throughout the proposed s tudy s i te A

vari ety of env i ronmental factors such as substrate compos i t i on water

qual i ty and to a l es ser degree l i ght penetrat i on and water depth may

have been respons i bl e for these observed d i fferences Any past

appl icat i on and poss i bl e res i dual effects of weed control herb ic i des may

al so be contr i buti ng envi ronmental factors As growth character i st ics

w i th i n th i s area were not un i form i t was assumed un l i ke ly that nutri ent

content was evenly d i stri buted To quanti fy these area -wi de var i ati ons

a s ampl i ng scheme emphas iz i ng the range of Hydril l a growth cond i t i ons was

des i gned

III B MATER IALS AND METHODS

I I I B 1 Sampl e Col l ecti on

Prec i s i on measurement of Hydri l l a bi omass i s h igh l y dependent upon

the representat i veness of the sampl es as wel l as evenness of growth

character i st ics wi thi n the study s i te As di fferences i n dens i ty had

3 - 1

been observed duri ng reconnai ssance surveys fi ve Hydri l l a cond i t i on

factors were establ i shed ( see Tabl e 3 1 ) Stat i ons were apport i oned

among these fi ve categor i es rat i ng sel ected s i tes accord i ng to these

cond i t i on factors to i nsure that comparabl e representat i ve sampl es were

col l ected

As a resul t fi fteen ( 1 5 ) stat i ons were establ i shed wi th i n the

weed harvest i ng area ( Fi gure 3 1 ) Sampl i ng l ocat i ons were fi xed and

recorded i n the fi e l d us i ng Loran C (Apel co model DXL -6000 ) Sampl e

col l ect i on at each stat i on con s i sted of three repl i cated cl i pped - pl ots of

Hydri l l a removed from wi thi n a 202Sm2 sampl i ng dev i ce pl aced on the

substrate The sampl i ng box was constructed of steel pl ate 3 mm th ick

The overal l des i gn was s imi l ar to that descri bed by Mart i n and Sherman

( 1979 ) The top of the box however was covered by a d i amond pattern

screen wi th an attached hook to fac i l i tate l i ft i ng the sampl er wh i ch

contai ned the Hydr i l l a sampl e i nto the boat

The sampl er was l owered to the substrate and the Hydri l l a adjacent

to the edge of the box was cut by the d i ver wi th a kn i fe The bottom

sl i d i ng pl ate was then i nserted to conta i n the Hydri l l a sampl e and the

sampl er was then retri eved to the surface

Onl y the above- substrate port i ons of the pl ant were col l ected

s i nce thi s was cons i dered to be the port i on of the pl ant subject to

removal by the mechan i cal harvester Unconsol i d ated detri tal materi al

and roots were not col l ected Any non -Hydri J 1 a macrophytes col l ected

were separated from the Hydri l l a sampl es and treated as d i screte sampl es

Each l abel l ed repl i cate sampl e was we i ghed separatel y to the nearest gram

to determ i ne fresh wet we i ght s The i nd i v i dual repl i cates were then

i ced and shi pped to the l aboratory for dry we ight and nutr i ent content

analys i s

Add i t i onal fi el d procedures i ncl uded a near-fi el d and obl i que

photograph taken at each bi omass sampl i ng stat i on

3-2

I I I B 2 Anal yt i cal Methods

Percent mo i sture was determi ned on al l sampl es Sampl es were

dri ed at 103 - 1050C and the dri ed materi al was used i n n i trogen

phosphorus and potass i um anal yses A total of 52 sampl es were processed

(45 Hydri l l a and 7 non - Hydrjl l a fract i ons ) by MML Total Kjel dahl

n i t rogen and total phosphorus were analyzed from dri ed ground pl ant

materi al Methods ut i l i zed were from the AOAC Methods of Anal ysi s 13th

Ed i t i on 1980 Kjel dahl d i gesti on i n a bl ock d i gester of l ess than O lg

pl ant materi al was fol l owed by sampl e reconst i tut i on automated d i l ut i on

and col ori metri c determi nati on o f amon i a and phosphate by Techn i con

AutoAnal yzer II The resul tant n i trogen and phosphorus concentrat i ons

were converted to a dry we i ght basi s

Procedures for the potass i um anal ysi s are deri ved from the AOAC

Methods of Ana lys i s 13th Ed i t i on 1980 Less than 0 3g of dri ed ground

p l ant materi al was d i gested wi th n i tr ic and perchl ori c ac i ds d l l utjed

wi th 1+1 hydrochl ori c ac i d and anal yzed by atomi c adsorpt i on

1 1 1 B 3 Dat a Management

B i omass data col l ected duri ng thi s study was used to generate the

fol l ow i ng types of data

o Wet and dry wei ghts of Hydri l l a expressed as gm2

o Nutri ents [n i trogen ( N ) phosphorous ( P) potas s i um (K ) ]

per we i ght of Hydri l l a

I I I C I NTERMIM RESULTS - BIOMASS

I I I C l B IOMASS ANALYSIS

Monocul tures of Hydri l l a were present except at Stat i ons 1 2 5

9 and 13 At these fi ve l ocat i ons i nc i dental col l ect i ons of

Ceratoohyl l um sp were made I n i t i al process i ng of these sampl es

cons i sted of separat i ng Hydril l a and non -Hydri l l a spec i es and anal yzi ng

and eval uati ng each fract i on as a d i screte sampl e Once the eval uati on

3 -3

was compl eted b i omass val ues from both sets of sampl es were combi ned to

represent the overal l b i omass harvested from the study are a

B i omass val ues (dry we ights a l l spec i es combi ned ) ranged from

1 9 33 gm2 ( 02 kgm2 ) to 3 1 7 67 gmm2 (0 32 kgm2 ) (Tabl e 3 2 ) The

l ower b i omass val ues were found at stat i ons 1 and 2 wh i ch were nearshore

stat i ons The h i ghest b i omass general l y occurred at the stati ons l ocated

i n the central port i ons of the Hydri 1 1 a mat The range i n wet and dry

b i omass val ues wi th i n a confi dence i nterval of 1 plusmn standard dev i at i on

( SO ) are graph i cal l y presented i n F i gures 3 2 and 3 3 The cons iderabl e

var i at i on i n b i omass val ues among the stati ons i s rel ated to onshy

shoreoff-s hore d i fferences in stat i on l ocat i on and var i at i on in b i omass

maturi ty wh i ch i s descri bed by the prev i ous ly l i sted cond i t i on factors

rhe Hydri 1 1 a cond i t i on factors have been devel oped to prov ide an

i nd i cat i on of the vari abi l i ty of pl ant maturi ty and were used to prov ide

a prel i mi nary eval uati on of the rel ati onsh i p between pl ant maturi ty and

nutrient content The cond i t i on factors recorded at each stat i on dur i ng

b i omass sampl i ng are summari zed i n Tabl e 3 3

The Hydr i 1 1 a b i omass val ues for each sampl i ng stat i on were grouped

accord i ng to the i r respecti ve cond i t i on factor and pl otted ( F i gure 3 4 )

The resul ts of th i s group i ng dep i cts a cl ear pattern of the d i stri but i on

of b i omass versus p 1 ant maturi ty or cond i t i on factor The new growth

cond i t i ons (1 and 2) had the l owest mean bi omass val ues whi l e cond i t i on

4 (mature cond i t i on ) had the h i ghest val ue and cond i t i on 5 (senescence )

i nd i cated a decl i n i ng b i omass of the Hydri 1 1 a mat at the stati on

l ocat i ons The stat i ons sampl ed and the study area were pr i mari l y

con s idered to be represented by a mature growth cond i t i on duri ng the

August col l ecti on Cond i t i on factors ( pl ant maturi ty) are al so rel ated

to nutri ent content as i s subsequently d i scussed

A gross esti mate of b i omass i n terms of areal extent was projected

us i ng the wei ghtarea rat i o for each stat i on and then averag i ng the

rat i os It shoul d be noted however that stat i on sel ect i on for thi s

task was not random and stat i ons were del i beratel y chosen wh i ch

refl ected a range of growth cond i t i ons By the same l og i c l ocat i ons of

transects to be harvested were not random and were chosen i n an attempt

to sel ect maxi mum dens i t i es of Hydri l l a Wi th these qual i fi ers the

3 -4

average b i omass sampl ed ranged from l ess than 1 to over 14 tons per acre

and averaged 7 tonsacre Esti mates for tons of b i omass i n fres h both

wet and dry cond i ti ons al so appear i n Tabl e 3 2 The wet b i omass val ues

represent we ights of the pl ant materi al after surface water has been

removed from the pl ant by bl ott i ng wi th a dry med i um Because of t h i s

handl i ng procedure a d i rect compari son wi th the harvest contractor s

fi el d est i mates (of merely dra i ned materi al ) are not val i d s i nce the

water associ ated wi th the Hydri l 1 a cou l d add a con s i derabl e but unknown

amount to the esti mated total we ight

B iomass sampl i ng i n the study area has been l i mi ted to a s i ng l e

event and the resul t s of the samp l i ng effort do not refl ect seasonal

vari at i ons However Bowes et al ( 1 979) i nvest i g ated the seasonal

Hydri lJ a b i omass product i on of three Fl ori da l akes Lake Trafford

Orange and Jackson Thei r study i ndi cated that the t i me for seasonal

peaks i n bi omass vari ed wi th the southern most 1 ake Lake Trafford

produc i ng the max i mum Hydri l l a bi omass i n August wh i l e the more northern

l akes Orange and Jackson produced more Hydri l l a b i omass i n Novernber

I 1 I C 2 NUTRI ENT REMOVAL

Phosphorus content of Hydri 1 1 a and the potent i al for removi ng

phosphorus from the l ake system was the pri mary focus of the data

anal ys i s Secondary aspects were quant i fyi ng n i trogen and potass i um as

they rel ate to the overal l nutri ent content of the study area and

prov i d i ng i nformat i on for any poss i bl e uses for the harvested materi a l

Tabl e 3 4 summari zes the analyti cal data for bi omass sampl es

col l ected Hydri l l a and total b i omass are tabul ated separatel y s i nce

Hydri l J a i s the target spec i es of the harvest i ng program and i t compri ses

the majori ty of the pl ant materi al i n the study area Inter-spec i fi c

d i fferences i n pl ant chemi cal compos i t i on are al so reported by Boyd

( 1978) as the greatest source of vari at i on i n characteri zat i on stud i es of

aquat i c macrophytes

3 - 5

I I I C 2 1 Phosphorus

Total phosphorus ranged from 9 1 mgg to 2 68 mgg for al l spec i es

comb i ned and 91 mgg to 2 67 mgg for Hvdrill a only (Tabl e 3 4) The

comb i ned data wi th confidence i nterval s ( 1plusmn SO) are shown i n F i gure 3 5

The somewhat h i gher var i at i on i n phosphorus content at Stat i on s 2 5 9

and 13 i s est imated to occur as a resul t of the presence of non -Hvdri l l a

spec i e s at these l ocat i ons Therefore the presence of other spec i es i n

the sampl es ( i f not separated ) i s ant i c i pated to produce data that have a

greater vari abi l i ty and consequently are not as rel i abl e an est i mate of

nutri ent content as des i red for management dec i s i ons

Coeffi c i ents of var i at i on I n phosphorus content were cal cul ated

and pl otted by stat i on for comb i ned pl ants and for Hydr i l l a on l y ( F i gures

3 6 and 3 7) A compari son o f F i gures 3 6 and 3 7 however i ndi cates

that a rel at i vely smal l amount of the vari at i on observed can be

attri buted to the presence of two spec i es at a s i ngl e stat i on F i gure

3 7 demonstrates an i mportant con s iderat i on for any future sampl i ng and

asses sment effort s Sampl es o f Hydri l l a from the extremes of the

cond i t i on factors i e 1 and 5 produce data that may vary from 20 to

more than 30 i n est i mates of phosphorus content

The comb inat i on of cond i t i on factors and means for phos phorous

content at each stat i on i ndi cate a rel ati onsh i p between cond i t i on i e

re l at i ve maturi ty and phosphorus content ( F i gure 3 8) Stati ons wh i ch

cons i st pr imari ly of new pl ant growth (cond i t i on 1 ) contai n the l east

amount of phosphorus on a mgg (p l ant mater i al ) bas i s wh i l e stati on s

wi th pl ants that are descri bed as bei ng i n cond i t i on 4 (mature) have the

greatest amount of phosphorous A dec 1 i ne in phosphorus content al so

apparently accompan i es pl ant senescence

RegreSS i on anal ys i s was conducted to determ i ne the rel at i onsh i p

between b i omass and phosphorus content Because onl y one i ndependent

vari abl e (b i omas s ) was used i n the regress i on mode i t is necessary to

report only the resul ts of the two-tai l ed test u s i ng Student s t shy

stat i ons The nul l hypothes i s for the two -tai l ed test i s that there i s

no rel at i onsh i p between the dependent vari abl e and a spec i fi c i ndependent

vari abl e namel y bi omas s The t -stati st ic generated by the model

3-6

i nd i cated that b i omass s i gn i fi cantly effects phosphorus content at a 43

confidence l evel That i s there i s a 57 chance of i nd i cat i ng there i s

no rel ati onsh i p between b i omass and phosphorus i f the nul l hypothes i s i s

rejected

Add i t i onal stat i st i cal model i ng and an al ys i s i nd i cated that

b i omass at stati ons categori zed as Cond i t i on 4 were s i gn i fi cant ly rel ated

to phosphorous content at onl y a 75 confi dence l evel or a 25 chance

that a re 1 at i onshi p between b i omass and phosphorous content does not

exi st The h i gher confi dence l evel provi des some support for the use of

Hydrj 1 1 a cond i t i on factors part i cul arl y cond i t i on 4 for est i mat i ng the

nutri ent content of Hydri 1 1 a

To prov i de some prel i mi nary est i mates of potent i al phosphorous

removal rel ated to Hydri 1 1 a matur i ty each sampl i ng stat i on s phosphorous

we i ght to area rat i o was determi ned (Tabl e 3 5 ) These rat ios were then

averaged by cond i t i on factor The resu1 tant overal l phosphorus content

ranged from 16 1 bacre (cond i t i on 1 ) to 3 40 1 bacre (cond i t i on 4) and

dupl i cated the trend observed i n the b i omass data ( F i gure 3 4 )

The range of Hydri 1 1 a cond i t i ons factors and the presence o f other

macrophyte spec i es wi thi n the harvest area i nd i cates that further

defi n i t i on of the nutri ent removal est i mates are requ i red Th i s further

quant i fi cati on can be accompl i shed i n part through the use of aeri al

photographs The i nter im report by 15ampT ( 1 987 ) i nd i cates that sca1 ed

true col or and fa1 se col or i nfrared photographs of the study area have

been rout i ne1 y fl own Cop i es of these photographs and vegetat i on maps

wi 1 1 be requested from 15ampT The vegetati on maps produced from these

photographs by 15ampT wi l l be computer d i g i t i zed and acreage measurements

cal cul ated I t shoul d be noted that remote resource sens i ng techn i ques

part i cul arl y stud i es i nvol v i ng submerged pl ants have l i mi tati ons rel ated

primari l y to water depth and cl ari ty These 1 im i tati ons restri ct the

quant i ficat i on of i mmature Hydri 1 1 a represent i ng cond i t i on factors 1 and

2 because i t i s unl i ke1 y these p1 ants can be detected due to thei r

submerged cond i t i on Hydri ll a exh i bi t i ng cond i t i on factors 3 4 and 5

shoul d be v i s i bl e i n the l ate summer aeri al photographs as emergent mats

The fal se col or i nfrared aeri al photographs wi l l al so be anal yzed to

3 - 7

further separate the area i nto cond i t i on factors (3 4 and 5 ) These

refi ned est imates wi l l be i ncl uded in the fi nal report

An i ntegrated seasonal data base on nutri ent content of Hydri l l a

i n Lake Okeechobee i s l acki ng However recent data ( 1 5ampT 1988 )

i nd i cates there may be a pronounced seasonal d i fference i n t he chemi cal

compos i t i on of Hydrll l a from the l ake Hydri l l a sampl es col l ected by

15ampT duri ng January 1988 had phosphorus and n i trogen val ues that were

two to t hree t i mes h igher than the val ues reported for Aug ust 1987

(Tabl e 3 6 )

Spl i t sampl es anal yzed by the same l aboratory wh i ch prov i ded the

I SampT data provi ded veri fi cati on for the August phosphorus data reported

i n th i s study Therefore i t appears to be reasonabl e to assume that an

i ncrease i n Hydri l l a nutri ent content has occurred between August 1 987

and January 1988 The spec i fi c causes for th i s i ncrease are present ly

unknown but Federi co et al 1981 have suggested a nutri ent i nput

mechan i sm for the l ake based on l ake management W i th the fal lwi nter

i ncrease i n l ake surface area nutri ents conta i ned i n the l i ttoral zone

cou l d be transported l ake-ward by the fl ood i ng of the l i ttoral zone

Water qual i ty data from the present study does i n fact i nd i cate an

i ncrease i n i norgan i c phosphorus (P04- P ) from August 1 987 to January

1988 I t may be specul ated that i ncreased nutri ent avai l ab i l i ty may have

produced t h i s i ncrease i n Hydri l l a nutri ent content I t shoul d al so be

noted however that a seasonal i ncrease i n Hydri l l a phosphorus and

n i trogen content may occur i ndependent of any l ake management reg i me

Th i s seasonal vari at i on i n Hydri l l a nutri ent content has i mportant

rami fi cat i ons for any cont i nued or future harvest i ng programs I t al so

creates some add i t i onal quest i ons For exampl e i s th i s Hydri l l a

nutri ent i ncrease a l akewi de phenomenon or i s i t a near fi el d effect that

might be rel ated to the recent harvest i ng I f th i s i s a l akewide

i ncrease i n nutri ent content does it al so produce a correspond i ng

i ncrease i n bi omass so that phosphorus removal per acre cou l d be

max i mi zed I f th i s were true then the seasonal t i m i ng of any future

harvest i ng efforts need s to be careful l y cons i dered

Converse l y i f the wi nter i ncrease i n phosphorus content i s a near

fi el d effect rel ated to harvest i ng then perhaps harvest i ng des i gn i e

3 - 8

n umber and widths of harvested l anes needs to be re -exami ned and t i mi ng

of the harvest i ng may become l ess i mportant S i nce Hydri l l a i s a

n u i s ance spec i es al l prev i ous harvest i ng strateg i es have been a i med

toward weed el i mi nat i on for n av igat i onal purposes Because of th i s

nu i sance status management strateg i es have not been dev i sed or tested to

ut i l i ze Hydrj l l a as a nutri ent removal middotcrop middot For exampl e a seri es of

narrow but cl osely spaced cuts may be v i ewed as crop th i nn i ng wh i ch may

resul t i n greater nutri ent uptake by the adjacent unthi nned port i on of

the middotcrop middot Th i s act i on cou l d al so be coord i nated wi th n av i gat i onal

concerns and where appropri ate habi tat restorat i on or ma i ntenance

1 1 1 C 2 2 Ni trogen

As previ ous l y noted n i trogen has al so been eval uated as part of

the nutri ent analys i s N i trogen (TKN) ranged from 13 45 mgg to 26 34

mgg for al l spec i es combi ned and 13 45 mgg to 26 1 5 mgg for Hydri l l a

onl y (Tabl e 3 4) I ts d i stri but i on among stat i ons ( F i gure 3 9 ) fol l owed

the pattern prev i ousl y d i scussed for phosphorus Thi s pattern i ncl uded

the h i gh vari at i on attri buted to the presence of other spec i es ( F i gures

3 10 and 3 1 1 ) as wel l as the cond i t i on factornutri ent content

rel ati onsh i p of Hydri l l a ( F i gure 3 1 2 )

1 1 1 C 2 3 Potas s i um

The rema l n l ng nutri ent i ncl uded i n the anal ys i s was potass i um

wh i ch vari ed from 10 20 mgg to 26 28 mgg for al l spec i es combi ned and

10 20 mgg to 26 28 mgg for Hydri 1 1 a (Tabl e 3 4) Wi th several mi nor

except i ons potass i um content was a more vari abl e pl ant nutri ent than

e i ther phosphorus or n i trogen ( Fi gure 3 13 ) Thi s vari abi l i ty i n

potass i um content has al so been prev i ousl y reported by Sutton and Port i er

( 1983 )

A c o n s i d erabl e amou n t of the vari abi l i ty i n potas s i um

concentrat i ons was attri buted to the presence of other spec i es ( F i gures

3 1 4 and 3 1 5 ) but even when monocul tures of Hydri l l a are con s i dered a

h i gh amount of vari abi l i ty st i l l exi sts Kl opatek ( 1978) suggests that

3 - 9

vari at i on i n potass i um l evel s i n aquat i c macrophytes may refl ect h i gh

metabol i c demand duri ng the peri od of rap i d growth and that potass i um i s

not stored by pl ants s i nce th i s nutri ent i s read i l y avai l abl e from most

soi 1 s When grouped by cond i t i on factor the h i ghest potass i IJm contents

occurred i n the new or rapi d ly growi ng pl ants (cond i t i ons 1 2 and 3 )

( F i gure 2 - 1 6 ) Potass i um content decreases i n the l atter growth stages

assoc i ated wi th cond i t i on factors 4 and 5

I I I D CONCLUS IONS

The Hydri l l a b i omassnutri ent data anal yzed to date i nd i cates that

there are several important factors to be cons idered for future or

conti nued Hydri l l a harvest i ng programs

o Recogn i t i on and categori zati on of the rel ati ve maturi ty

state (cond i t i on factor) of the Hydri l l a mat i s i mportant

to sel ect sampl i ng l ocat i ons for nutri ent ana lys i s

o Anal ysi s of the nutri ent content of Hydri l l a i s most

preci se i e l owest sampl e vari at i on when col l ected from

areas of the mature mat The extremes of growth cond i t i on

new growth and senescence produced more vari abl e data

requ i ri ng l arger numbers of sampl es for rel i abl e mean

determi nat i ons

o Further testi ng of season a 1 d i fferences i n Hydri 1 1 a

nutri ent content and coup 1 i ng wi th harvest j ng-management

strateg i es cou l d s ign i ficantl y opt i m i ze the amount of

nutri ents removed through mechan i cal harvest i ng

I I I E RECOMMENDATIONS

Based on the data col l ected and anal yzed to date the fol l owi ng i s

the recommended course of act i on

Add i t i onal quant i tat i ve sampl i ng of Hydri l l a i n Lake Okeechobee i s

recommended Th i s add i t i onal sampl i ng effort shou l d be conducted at

3 - 10

1 ocat i ons both wi th i n the present study area as wel l as some 1 ocat i ons

out s i de of the study area Th i s general i zed pl an wi l l test for near

fi el d effects i e those effects that m ight be rel ated to harvest i ng

vs l akewi de effects Th i s sampl i ng effort shou l d be conducted quarterl y

to i nvest i gate the apparent seasonal changes i n Hydri l l a nutri ent

content Sampl i ng shou l d dupl i cate earl i er efforts and shou l d be

conducted at e i ght l ocat i on s four wi th i n and four outs i de of the present

study area

I I I F QUALITY ASSURANCE RESULTS

Tabl e 3 7 deta i l s the prec i s i on and accuracy of anal yt i cal resul ts

of dr i ed pl ant t i ssue Al l data were generated i n groups wi th

sat i sfactory qual i ty assurance cri teri a

3 - 1 1

LITERATURE CITED

Bowes G A S Hol aday W T Hal l er 1979 Seasonal vari ati on i n the b i omas s tuber dens i ty and photosynthet i c metabol i sm of Hydr i l l a i n three Fl ori d a l akes J Aquat i c Pl ant Mgt 17 61-65

Boyd C E 1978 Chemi cal Compos i t i on of Wetl and Pl ants IN Freshwater Ecol ogical Processes and Management Potenti al eds R E Good D F Wh i gham R L S i mpson C G Jackson J r Academi c Pres s N Y 378p

Freder i co A C K G D i c kson C R Kratzer F E Davi s 1981 Lake Okeechobee Water Qual i ty Stud i es and Eutroph i cat i on Assessment Techn i cal Publ i cati on 181-2 May 1981 Resource Pl ann i ng Department South Fl ori da Water Management D i stri c t West Pal m Beach FL 270pp + App

Kl opatek J M 1978 Nutri ent Dynami cs of Freshwater R i ver i ne Marshes and the Rol e of Emergent Macrophytes IN Freshwater Ecol og i cal Processes and Management Potent i al eds R E Good D F Wh i gham R L S i mpson C G Jackson Jr Academi c Press N Y 378p

ISampT 1987 Letter to Mr Ed Terczak dated Sep t 3 1987 Subj ect Chemi cal Anal yses resul ts of sampl es of Hydri l l a and mi crodeus

ISampT 1988 Letter to Mr Ed Terczak dated Jan 25 1988 Subj ect Compari son of nutri ent content i n Hydri l l a and water hyaci nth sampl es from the Demonstrat i on Project study area

Sutton D L and K H Port i e r 1983 Var i ati on of n i trogen phosphorus and potass i um contents of Hydri 1 l a i n South Fl orida J Aquat i c Pl ant Mgt 2 1 87 -92

3-12

Tabl e 3 1

Cond i t i on 1

Cond i t i on 2

Cond i t i on 3

Cond i t i on 4

Cond i t i on 5

Hvdrll l a Cond i t i on Factors to Descri be Pl ant Maturi ty i n the Lake Okeechobee Study Area

Areas of new pl ant growth rooted pl ants are l ess

than a foot h i g h

Pl ant growt h i s v igorou s but does not extend to the

surface P l ant s extend from 12 to 34 of the water

col umn i n height

Pl ant growth i s v igorous reaches the surface not

matted or at l east not brown and dyi ng on the

surface

Pl ant g rowth i s matted at the surfac e fl oat i ng

pl ants trapped s i gns of earl y decompos i t i on

P l ant mats are senescent and some open water i s

evident under mat

Source DSA Group I nc 1988

T-- 3 BiJS s_ bull aty 6 Sct irg 1tilt in _ Ia1 kee--gtee OJ --l l

my WEI lOOS lOOS

station GM2 so KGM2 so ArnE GM2 so KGM2 so ArnE

1 19 33 17 10 0 02 0 02 0 09 197 00 188 04 0 20 0 19 0 88

2 32 00 12 53 0 03 0 01 0 14 364 67 127 36 0 36 0 13 1 63

3 67 00 18 19 0 07 0 02 0 30 636 00 191 01 0 64 0 19 2 84

4 155 00 72 75 0 16 0 07 0 69 1660 33 733 09 1 66 0 73 7 41

5 195 33 85 82 0 20 0 09 0 86 1757 00 720 00 176 0 72 7 84

6 166 33 37 58 0 17 0 04 0 74 1695 33 335 67 1 70 0 34 7 56

7 263 33 56 70 0 26 0 06 1 18 2158 67 538 68 2 16 0 54 9 63

8 67 33 4067 0 07 0 04 0 30 676 33 302 63 0 68 0 30 3 02

9 184 67 94 85 0 18 0 09 0 77 1765 66 719 58 1 77 0 72 7 88

10 317 67 155 28 0 32 0 16 1 42 3165 33 1379 28 3 17 1 38 14 12

11 205 67 82 37 0 21 0 08 0 92 1716 00 500 11 1 72 0 50 7 66

12 200 67 47 60 0 20 0 05 0 90 2192 00 554 43 2 19 0 55 9 78

13 188 67 49 17 0 19 0 05 0 84 2326 00 492 11 2 33 0 49 10 38

14 116 00 29 82 0 12 0 03 0 52 1228 33 334 60 123 0 33 5 48

15 234 67 66 29 0 23 0 07 1 05 1997 33 527 08 2 00 0 53 8 91

Notes GM2= Grams Per Meter Square

SD= staOOald Deviation 1lGM2= Kilograms Per Meter Square

Dlta Ioolules Nan-Hydrilla Values for lhese stations

SOlllCe DSA Group Inc 1988

Tabl e 3 3

Cond i t i on

1

2

3

4

5

Sununary of Hydr i l l a Cond i t i on Factor by stat i on for the Lake Okeechobee study area August 18- 21 1987

Hydri 1 1 a Stat i ons

lt1 h i gh 1 2

12middot34 water col umn i n hei ght 2

at surface not matted 8 1 4 1 5

matted earl y decompos i t i on 4 6 7 1 0 1 1 1 2 1 3

senescent open water 5 9

Source DSA Group I nc 1987

Table 3 4 SUImlary ot Hyt1rllla Nl11rlent conumt nan Ole JaKe UKeeCnacee -oxty AJea 11

--- --------- - - ----- - -

Hydrilla Total Hydrilla Total Hydrilla Total p P TlltN TlltN K K

station I-CG so I-CG so I-CG so I-CG so I-CG so I-CG so

1 1 20 0 35 1 20 0 35 13 45 4 66 13 45 4 66 20 78 9 78 20 78 9 78

2 1 55 0 53 1 40 0 35 15 02 4 80 16 39 2 83 2156 12 06 16 45 6 23

3 1 43 0 06 1 43 0 06 15 78 1 37 15 78 1 37 19 66 6 19 19 66 6 19

4 2 36 0 27 2 36 0 27 20 67 2 76 20 67 2 76 20 57 4 81 20 57 4 81

5 1 28 0 14 1 47 0 30 16 49 0 88 16 93 1 10 19 09 2 11 18 99 1 98

6 1 60 0 02 1 60 0 02 17 16 028 17 16 0 28 23 56 5 57 23 56 5 57

7 0 91 0 07 0 91 0 07 15 58 0 38 15 58 0 38 10 20 0 53 10 20 0 53

8 1 37 0 15 1 37 0 15 13 60 2 50 13 60 2 50 26 28 8 25 26 28 8 25

9 1 45 0 36 1 48 0 39 17 60 2 38 17 73 2 56 18 34 5 30 18 59 5 35

10 1 96 0 14 1 96 0 14 21 35 1 69 21 35 1 69 18 71 2 73 18 71 2 73

11 1 63 0 13 1 63 0 13 16 71 0 37 16 71 0 37 16 60 5 06 16 60 5 06

12 1 81 0 12 1 81 0 12 21 97 1 04 21 97 1 04 14 43 1 37 14 43 1 37

13 2 67 0 27 2 68 25 26 15 2 29 26 34 1 97 15 89 4 52 15 89 4 52

14 2 14 0 09 2 14 0 09 20 68 1 12 20 68 1 12 23 68 1 72 23 68 1 72

15 1 33 0 11 1 33 0 11 14 01 0 47 14 01 0 47 15 82 1 99 15 82 1 99

Note All Values Expressed as Milligrams Per Gram of Dry Weight

50ur0e DSA Group Inc 1988

Tabl e 3 6

Sampl i ng Peri od Pl ant

August 1987

Tops

Steins

Whol e Pl ants

August 1987

Whol e P l ants

+January 1988

Who l e Pl ants

A Compari son of Hydri l l a Nutri ent Content for Samp l i ng Periods Conducted i n August 1987 and January 1987 i n t he Lake O keechobee Study Area

N i trogen Phosphorous (mgg-dry wei ght) (mgg-dry wei ght)

19 5 3 21

10 4 1 49

16 3 1 53

13 45 - 26 15 91 - 2 67

31 2 - 35 2 6 9 - 9 2

Source IST Augu s t 1987 Source DSA HHL August 1987

+Source IST January 1988

Tabl e 3 7 Bi omass anal ys i s qual i ty assurance resul ts

Prec i s i on Accuracy Parameter ( n X RSO SO) ( n X RSO SO)

Total phosphorus 6 3 8 1 4 4 1 0 1 7 6 5

Tota l Kje l dahl n i trogen 8 3 2 2 2 4 1 06 6 1 1 2

Potas s i um 6 3 1 1 8 5 12 1 2 43 5

zB

Figure middot3- 1 BIOMASS SAMPLING LOCATIONS

_c liOn Aalill LAaoaATOAV bullbull DA OAOb INC 18 bull

EVALUATION OF AQUATIC WEED HARVESTING DEMONSTRATION

IN LAKE OKEECHOBEE

Cl M EANS

B I O MAS S WET WE IG HT GRAS METER SQUARE

5--------------------------------------------------

45

4

3 5

3

25

1 5

1

05

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFIDENCE STATION

o LOWER COIJADENCE

re 3 2

w a 4 J a tJ) lr w-ti

o M EANS

500

450-

40

350

300

2 50

20

1 50

1 00

50

0

1 2 3 4

+ UPPER CONfIDB-JCE

_ GPnl IP INC

81 0M-ASS D RY WEIGHT CRAMS METER SQUARE

-1-5 e 7 8 sa 1 0 1 1 1 2 1 3 1 4 1 5

STAriON o LOWER (ONlDENCE

ure 3 - 3

________________________________________________________ -____ G

c- -0 (I) (I) -laquo l 0 m J 0 I-

TOTAL BI O MASS VS HYDRI LLA C ONDITIO N DRY WEIGHT GlA2

3 00--------------------------------------------

2 80

1 80

1 60

1 40

1 20

1 00

80

6 0

40

20

middot0 1 2 3

CONDITION FACTOR IS I GM2 DRY NEIGHT

4 6

Figure 3-4

J laquo It w -It 0 L-a 0 -CL lt)

o M EAtJS

M I LLI G RAM S O F TOTA L P H O S PH O RUS

3--------------------------------------------

1

1 4

1 2

1

08 -1 2 3 4

+ UPPER CONFID ENCE

5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION gt LOWER CONFlDENCE

Figure 3-

z o tr 4 gt IL o

w o b IL W o o

C O EFFI C I ENT OF VARI ATION

TOTAL PHOSFHORUS 1 00-----------------------------------------------

90

80

70

60

50

40

30

2 0

1 0-

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION

i

z o ti gt b o

w o b h W o o

CO EFFIC I ENT OF VARIATION TOTAL PHOSA-lORUS (HtDRILLA ONLY)

I OO------------------------------------------------

90

80

70

60

50

40

30

20

1 0

1

IS I CONDlllON FACTORS STATION

9 1 0 1 1 1 2 1 3 1 4 1 5

Figure 3 -7

c - t) 2 0 -1 0 I-

TOTAL PH O S PH U RS VS H YDR I LLA C O N DITI ON

3--------------------------------------------

28

2

2

1 8

1 6 1 4

1

1 2 3

CONOrTJOt FACTOR -I I MGG my yenEIGHT

4 5

ure 3-8

J laquo cr

2 2 w l-e )- 20 (( 0 b 1 8 0 (-

z 1 6 t= 1 4

1 2

1 0

8

o M EANS

M ILLIGRAMS O F TOTAL KJELDAHL NITROGEN

1 2 3 4

+ UPPER CONFDE1CE

----r f 5 bull 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION ltgt LOWER COtADENCE

-ltlilirA 3-9

z 0

gt La 0

I-Z w

0 La La w

0 0

CO EFFIC I ENT OF VARI ATION

TOTAL l1ltJtJ

4

30

2

1 0

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

IS I CONDITlON FACTOR kZ 1 CV ()

Figure 3-1 0

z o t( tr laquo gt L o

tshyZ W o L L W o o

middot

CO EFFIC I ENT O F VARIATIO N 1lltN (HfDRlliA ONLY)

1 00-----------------------------------------------

90

80

70

80

50

40-

30

20

1 0

IS I CONDlllON FACTORS STATION WJ CV(7) 3- 1 1

0 -lt- z a

I--1 0 I-

30

28

28

24

22

2

1 8

1 8

1

1

2

0 1

TOTAL TKN VS HYDRI LLA CON DITION

2 3

CONDITION FACTOR r ] GG CRY WEIGHT

3- 1 2

-oJ ( tr W gt-cr n L 0 Cl - Cl E

o M EANS

M I LL IG RA M S O F TOTAL POTASSI U M

38---------------------------------------------

2

1

8--------------------- 1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFDENCE STATION

ltgt LCJWER CONFIDENCE

z o n 4 gt LL o

I-shyZ bJ o LL LL W o o

1 00

90

80

70

80

50

40

30

20

1 0

0 -

CO EFFIC I ENT O F VARIATION POTASSIUU

-- _-_------ ------

1 2 3 4 5 8 7 8 1

IS I CONDITION FACTOR STATION ---

l2 J cv(-)

1 4 1 5

3- 1 4

z 0 t a oC gt Iamp-0

--

It

r z w 0 lamp-Iamp-w 0 0

C O EFFIC I ENT O F VARI ATION

POTASSlUA (HfffiILLA 011 Y) 1 00 - - - - - - -- - ---- - - - -- - -- - - - ---- --- - -- - - - - - - - - - - -- - - - - -

90

80

70

60

50

40

30 -

20

-

1 0

0 - 1 2 3 4

IS I CONDIllON FACTORS

l 7

J

r t

I 10 1 1 1 2 13

STATON LUd CV ( )

3- 1 5

TOTAL P OTASS I U M VS HYD RI L LA CON DITI ON

30------------------------------------------

28

28

1 2 3

CONDfTION FACTOR 1 I GG y WEIGHT

4 5

3- 1 8

IV WATER QUALITY SURVEYS

IV A INTRODUCTION

Concerns for water qual i ty i n Lake Okeechobee are pr i mar i l y

focused on nutri ent storage and cycl i ng between the water col umn

sedi ments and bi omass and the impl i cat i ons of these processes for the

current and future troph i c state of the l ake The harvest i ng

demonstrat i on project undertaken by the South Fl ori da Water Management

Di strict and conducted by I nternat i onal Sci ence and Technol ogy I nc

( ISampT) i s one of the remed i al measures proposed to arrest the apparently

i ncreas i ng troph i c state The harvest i ng and subsequent upl and d i sposal

of Hydrj l l a i s bei ng u sed to effect the removal of total nutri ents

( phos phorus in part i cul ar) from the aquat i c system The Di str i ct s

eval u at i on and research project ( EampR) conducted by Mote Mari ne Laboratory

(MML) was des i gned to del i neate other env i ronmental i mpacts and cost

benefi ts associ ated wi th mechan i cal weed removal

The goal of the water qual i ty task of the EampR s tudy was to

del i neate changes that cou l d be attri buted to the removal of dense stands

of Hydri l l a vert i c i l l ata ( Fi gure 4 1 ) Al though the i mmed i ate i mpacts of

weed harvest i ng on water qual i ty may be substant i al those wh i ch

perS i sted over a peri od of t i me were expected to be fai rl y smal l and

l ocal i zed due to the advect i ve barri er of the Hydri l l a mat Accord i ngl y

i n order t o resol ve these changes from background vari abi l i ty grad i ents

of water qual i ty were assumed to exi st across the s i te al though they may

be wea k

The sampl i ng program was desi gned t o al l ow the stat i st i c al

eval uat i on of water qual i ty d i fferences between stat i ons at any one poi nt

i n t i me prov id i ng enough anal yt i cal data to produce mean i ngful

compari sons As a resu l t a mi n i mum of tri pl i cate col l ect i on s per

stat i on were necessary Th i s approach was preferabl e to more frequent

sampl i ngs because i t centered on quant i fy i ng i mpacts at part i cul ar

i nstances rather than on a conti nu i ng bas i s when seasonal processes i n

the study area woul d compl i cate anal yses of data

4 - 1

Water qual i ty i nformati on i s al so necessary for the i nterpretat i on

and anal ys i s of many of the other tasks Phytopl ankton and pri mary

product i v i ty stud i es i n part i cul ar are heavi l y dependent on t h i s task and

wi l l exami ne ava i l abl e nutri ents tox i c compounds ( copper) as wel l as

phys i cal data produced by thi s tas k Accord i ng l y sampl i ngs for water

qual i ty were conducted on each of the days that Envi ronmenta 1 Qual i ty

Laboratory ( EQL) depl oyed primary producti v i ty equ i pment In add i t i on

certa i n parameters (d i ssol ved s i l i cates col or and i norgan i c carbon )

were added to the analyti c al su i te at stat i ons where product i v i ty was

be i ng determi ned Water qual i ty sampl i ngs were al so conducted wi th i n 24

hours of the communi ty metabol i sm task fi el d efforts and wi th i n two weeks

of l arval and juven i l e fi sh sampl i ngs

IV B METHODS

IV B l Water Qual i tv Stat i on locat i ons

The northern 1 200-m (4000 ft ) of Transect 3 was des i gnated as the

experimental transect where a majori ty of the tasks focused the i r

efforts Th i s harvested area was sel ected based upon central 1 ocat i on

wi th i n the study s i te representati veness of the study s i te as a whol e

wi th respect to depth fetch shore proxi mi ty and speci es compos i t i on

and the dens i ty of the Hydri l l a mat of the area

Stat i on l ocat i ons for most sampl i ng s of the water qual i ty task

were i l l ustrated i n F igure 4 2 a superi mposed on the Loran C l i nes mapped

for the study s i te dur i ng the August 1 987 reconnai ssance A tabul at i on

of Loran coordi nates of these stat i ons appears i n Tabl e 4 1 Stat i ons

were establ i shed to defi ne any ex i st i ng water qual i ty grad i ents across

the s i te as wel l as i mpacts due to harvest i ng and so extend beyond the

boundari es of the area schedul ed for harvest Stat i ons 1 2 3 13 1 5

and 1 6 represented the perimeter o f the study s i te Stat i ons 7 - 9 were

l ocated on the northern hal f of Transect 3 the experi mental transect

and represented the treatment stat i ons the treatment be i ng harvest i ng

Control ( unharvested ) stat i on 10- 1 2 were adj acent to the

experi mental transect i n the unharvested l ane between Transects 3 and 4

4 -2

( Stat i ons 4 -6 were al ternate control stati ons to be used onl y i f unusual

cond i t i ons at Stat i ons 10- 1 2 i nd i cated that they woul d not represent

und i sturbed cond i t i ons These stat ions have not been occup i ed to date )

Stat i ons 7 - 1 2 were al so the same areas sampl ed for phytopl ankto n benth i c

i nfauna and sed i ment chemi stry Stat i on 1 5 was or i g i nal l y establ i s hed

beyond the southern end of Transects 6 and 7 However dense growths of

Amer i can Lotus i n the area made i t l i kel y that water exchange was

mi n i mi zed wi th the rest of the study area Th i s stat i on was accord i ng l y

moved t o the north but kept between transects s o that i t represented

unharvested cond i t i ons

I V B 2 Parameters

In liY i nstrumentat i on (Hartek Hark V I I ) was used to determi ne

depth profi l es (at 0 2 and 0 5 meter i ncrements from the surface and at

bottom) of temperature conduct i v i ty pH and ox idat i on-reduct i on

potent i a l (ORP) bull Di ssol ved oxygen ( DO) meters ( YS I 57 pol arographi c

el ectrodes equ i pped wi th st i rrers ) were used to measure DO at the same

depths Heters ( and i nstruments ava i l abl e as backup equ i pment ) had been

bench cal i brated aga i nst known standards or phys i ca l constants pri or to

each sampl i ng Cal i brat i ons of the meters empl oyed were repeated

fol l owi ng each sampl i ng L i -Cor i ntegrat i ng photometers were ut i l i zed to

quant i fy i nc i dent and penetrant l i ght Care was taken i n performi ng

these measurements to mi n i mi ze weed d i sturbance i n l oweri ng the

i nstruments and ext i nct i on coeffic i ents were cal cul ated from both the

upper ( 0 5 m) and l ower ( bottom) read i ngs to provi de est i mates of both

weed mass and water col umn l i ght attenuati on Water sampl es were

col l ected for l aboratory analys i s outs ide of the i nfl uence of any meter

d i sturbances

Sampl es were secured us i ng a non -metal l i c i mpel l er-type pump wi th

a weed excl ud i ng cage mesh s i ze of 1 mm ( F i gure 9 3 ) The cage was

l owered wi th a mi n i mum of d i sturbance to the weed mat to prevent

resuspens i on and entrai nment of l oose ly attached al ga l materi al or other

pl ant debri s Th i s col l ecti on techn i que was empl oyed for al l sampl i ngs

Chemi cal parameters i ncl uded al l standard n i trogen and phosphorus

4-3

spec i es Inorgan i c forms - -orthophosphorus ammon i a- n i trate- and

n i tri te -n i trogen - - were determi ned on fi l tered sampl es ( 0 45 micon

effect i ve pore s i ze ) to ascerta i n the ava i l abl e amounts most mean i ngfu l

for b i ol og i cal assessments Potass i um and sodi um were quant i f i ed on a

fi l tered sampl e Trace metal concentrat i ons copper ( Cu ) and i ron ( Fe )

al so were determi ned o n fi l tered sampl es due t o the affi n i ty of these

e l ements for suspended part i cul ates

Total organ i c carbon total Kjel dahl n i trogen total phosphorus

and al kal i n i t i es were determi ned on unfi l tered s ampl es as was

bi ochem ica l oxygen demand Turb i d i ty and suspended l oads were quant i fi ed

and total col i form was analyzed by the membrane fi l ter techni que The

analys i s of sampl es for sod i um chl ori de and fl uori de concentrat i ons was

performed to permi t water mass cal cul at i ons and determi nat i on of water

qual i ty grad i ents across the s i te Anal yses necessary for the pri mary

product i v i ty task were col or d i ssol ved s i l i ca and i norgan i c carbon

Water qual i ty anal yt i ca 1 methods used were those approved by the

Envi ronmental Protect ion Agency ( EPA ) and the Fl orida Department of

Envi ronmental Regul ati on ( FDER) Method references anal yt i cal hol d i ng

t i mes and preservati ves are detai l ed i n Tabl e 4 2

Lake l evel s for spec i fi c dates were obtai ned from the Di stri ct and

represent 1 ake wide averages of stage recorders operated by both the

Di stri ct and the u s Army Corps of Eng i neers

IV B 3 Sampl i ng

There were four types of water qual i ty sampl i ngs each vary i ng i n

the numbers of stat i ons sampl ed t imi ng of col l ecti ons or parameters

anal yzed The s ampl i ngs were enti tl ed basel i ne short - term impacts

quarterl y and fi el d demonstrati on Col l ect i ons were focused around the

experimental transect Analyti cal sui tes i nc l uded both phys i cal and

chemi cal parameters Sampl i ngs performed to date appear i n Tabl e 4 3

4 -4

Basel i ne Sampl i ng

Basel i ne sampl i ng was conducted on August 18 1 987 pri or to any

harves t i ng act i v i ty wi t h i n the s i te The day was cl ear hot and cal m

Average l ake l evel for the day was 4 22 m ( 13 85 ft ) A total of n i ne

( 9 ) l ocati ons ( Figure 4 2 ) was sampl ed to establ i sh a grid of control

stat i ons ( Stat i ons sampl ed were 1 2 3 10 1 1 12 13 1 5 and 16 )

These stat i ons were al l i n areas where no harvest i ng act i v i t i es were

schedul ed Stat i ons 10 1 1 and 1 2 were l ocated i n a heavi l y weeded

area whi l e the rema i n i ng control stat i ons were outs i de the area to be

harvested and were i n comparati vely open water At each stati on a total

of three separate sampl es was col l ected from a depth of 0 2 m for

l aboratory analys i s

At Stati ons 1 3 13 and 16 sampl es were al so sec ured from 0 8

of the overal l depth Water depth ranged from 0 9 to 2 0 meters at al l

stat i on s These corners of the study si te represented the spat 1 a1

extremes and water qual i ty data from surface and at depth were used as

i nd i cat i ons of verti cal gradi ents over the s i te

One add i t i onal stat i on at the mouth of the K i s s i mmee R i ver

( Stati on 20) was sampl ed at the surface (0 2m ) The effect of thi s

tri butary on l ake nutri ent l oad i ng and resul tant spat i al grad i ents may

thus be cons i dered Th i s s i ng l e sampl e however was not i ncl uded i n

stat i st i cal anal yses

A total of fourteen ( 14) stati on-depths resul ted from thi s

sampl i ng for a total of forty ( 40 ) sampl es for anal ys i s In ll1Y and

l aboratory analyses i ncl uded al l wi th the except i on of col or s i l i cates

and org an i c carbon as no phytopl ankton sampl i ng was conducted duri ng

th i s epi sod e Sampl es for total col i form were col l ected from Stat i ons

10 1 1 and 1 2 onl y ( n i ne sampl es)

Short Term Impacts Sampl i ng

Two short term impacts water qual i ty sampl i ngs were conducted

i mmed i atel y after and approx i matel y one week fol l owi ng the compl et i on

of harvest on the exper imental transect These sampl i ngs were i n

4 - 5

conjunct i on wi th and on the same day as phytopl ankton and pr i mary

product i v i ty sampl i ngs Sampl es were col l ected from Stati ons 10 1 1 and

1 2 the control stat i ons and from Stat i ons 7 8 and 9 the experi mental

stat i ons ( F1 gure 4 5 ) Experimental stat i ons were l ocated approxi mately

150m 600m 1070m ( 500 ft 2000 ft and 3500 ft ) from the northern end of

the transect and were approximate ly 75 m ( 250 ft ) from e i ther edge of the

harvested area Contro 1 stat i ons were pa i red wi th each experi mental

stat i on and were adj acent approx1mate1y mi dway between Transect 3 and 4

1 n the center o f the unharvested are a Sampl es were col l ected from 0 2m

depth onl y

Aquat i c weed harvest1 ng on the experi mental transect began

September 3 1987 and the northern 1 220 m was compl eted on September 1 7

Dur1 ng th i s and the succeed 1 ng dayt 1 me sampl i ng events the ongo i ng

harvest of weeds cont i nued nearby An MHl fi el d crew conducted sampl i ng

on September 1 7 a hot cal m and cl ear day when l ake l evel s averaged 4 13

m ( 13 56 ft ) Th 1ck Hvdri 1 1 a growth was v 1 s i b1 e at depth w1 th i n the

tran sect Another sampl i ng occurred on September 22 1987 ( l ake l evel

4 1 2 m ( 1 3 51 ft raquo under s imi l ar cond i t i ons Regrowth of Hydri 1 1 a i n the

experiment al transect was extens ive by th i s date Sampl es were col l ected

near the mouth of the Ki s s immee Ri ver on both occas i ons Seven ( 7 )

stat i on depths resul ted 1 n the col l ect1 0n o f n i neteen ( 1 9 ) sampl es on

eah date Al l in si tu parameters and l aboratory anal yses were i nc l uded

Quarterl y Sampl i ng

As wi th the i mmed i ate i mpacts sampl i ng s quarterl y sampl i ngs were

conducted i n conjunct i on wi th phytopl ankton work Stat i ons sampl ed

i nc l uded 1 2 3 7 8 9 10 1 1 1 2 13 1 5 and 16 at 0 2m depth

( F i gure 4 2 ) and Stat i ons 1 3 1 3 and 16 at 0 8m overal l dept h

S i xteen ( 16 ) stat i on depth s pl us one ri ver sampl e resul ted i n at l east

49 sampl es duri ng each of the four efforts In s i tu and 1 aboratory

parameters i ncl uded al l those l i sted wi th the except i on that total

col i form d i s sol ved s i l i cates col or and i norgan i c carbon were anal yzed

on l y on sampl es from Stat i ons 7 8 9 1 0 1 1 and 12 onl y ( the

exper i mental stat i ons and the i r control pa i rs )

4 -6

Quarterly sampl i ngs took pl ace on September 30 1 987 and January

1 3 1 988 wi th the rema i n i ng sampl i ngs schedul ed for Apr i l and June 1988

Lake l evel s were 4 1 4 and 4 90m ( 1 3 60 and 16 07 ft ) i n September and

January respect i vel y The September event was conducted o n a bl ustery

day (wi nds from the west at 5- 10 kts ) wh i ch l ater produced a dr i v i ng

rai nstorm Vi s i b i l i ty both in and above the l ake was obscured currents

were al so noted Li ght and vari abl e w i nds from the NE to W were noted

duri ng the January sampl i ng Hydrilla had regrown to t he surface i n some

cases by th i s date but otherwi se was not often vi s I b1 e due to i ncreased

l ake l evel s

The northern 180m of the experi mental transect was reharvested

duri ng December 1987 Stati ons 7 and 10 were sampl ed i n January and thus

represented a t h i rd treatment ( 1 e harvested twi ce ) In order to

ma i nta i n a bal anced des i gn for stat i st i cal anal yses however two ( 2 )

stati ons were added t o the sampl i ng schedul e The pos i t i on of Stat i on

7 5 was just south of the mowed sect i on and another control ( 10 5 ) was

added i n a comparabl e l ocat i on south of Stat i on 1 0 Stat i ons 7 5 8 and

9 then became the experimental group to be consi dered i n data analyses

F i el d Demonstrat i on Sampl i ng

Water qua 1 i ty impacts duri ng the actual harvest i ng process were

expected to be pri mari l y a product of turbul ence generated by harvest i ng

These effects were al so expected to be fa i rl y l ocal i zed due to the

dens i ty of the weed mat Any temporary resuspen s i on of organ i c detr i tus

or el evat i on of sol i ds or nutri ent concentrati ons wou l d be establ i shed by

an i ntens i ve t i me seri es wh i ch woul d exami ne the degree and durat i on of

any d i sturbance

The fi el d demonstrat i on water qual i ty samp l l ng was conducted on

October 28-29 1 987 when l ake l evel s were at 14 26 ft Three pai rs of

stat i ons approxi matel y 100 ft apart were establ i shed at the northern edge

of the wi nd fence or harvested area l ocated between Tran sects 2 and 3

( Fi gure 4 6 ) Subsequent to preharvest sampl i ng a harvester made two

passe s each approx i mately 100m l ong A smal l barri er of Hydri l l a ( ca

3m w ide ) was l eft i ntact between the harvested area of Transect 2 and the

4 - 7

RharvestedR area for th i s study Stat i ons were i dent i fi ed as Rcut R (Cl

C2 C3 ) or R uncut R (UCl UC2 UC3 ) duri ng th i s effort

Fol l owi ng the two passes of the harvester over the experi mental

swath no more harvest i ng occurred in that area for at l east 24 hours A

t i me seri es of sampl es were col l ected from -each of the s i x ( 6 ) stat i ons

Data were to be compared from each of the two stat i on types for

quant i fyi ng i mpacts and traci ng the i r durat i o n

Sampl es were col l ected a t 0 2m and 0 8m o f the overal l depth us i ng

the pump and the weed excl ud i ng cage to el imi nate the l argest Hydri l l a

fragments from the sampl e Col l ect i ons took pl ace i mmedi atel y pri or to

the passage of the harvester immedi atel y subsequent to the harvest of

the experimental stat i ons (wi th i n approxi matel y 0 5 hr) and then aga i n

at roughl y 2 5 10 and 24 h r i nterval s after the harvest Sampl es were

not col l ected i n tri pl i cate i nstead the three stat i ons i n each

treatment type formed the basi s for stati sti cal compari son A total of

twel ve ( 1 2 ) stat i on depths and s i x (6) col l ect i ons resul ted i n seventyshy

two sampl es for ana lys i s The s i x col l ect i ons were i dent i fi ed as rounds

1 -6 i n data pri ntouts In 11Y parameters to be determi ned i ncl uded al l

l i sted with the except i on of l i ght penetrat i on and secchi depth

measurements Total col i form was not anal yzed due to the extremel y short

hol d i ng t i me of that parameter nor were repet i ti ve l i ght measurements

wh i ch have a h i gh potenti al for d i sturbance of the water mass due to the

actual sampl i ng process Suspended l oad and turbi d i ty anal yses were

ut i l i zed for est imates of l i ght attenuat i on S i l i cates col or and

i norgan i c carbon were not anal yzed as no phytopl ankton work was

conducted at th i s t i me

IV C INTER IM RESULTS

Al l water qual i ty data col l ected through the m idpo i nt of thi s

project appear i n Append i x 4 A and i ncl ude in s i tu and chemi cal anal yses

from the sampl i ngs performed on August 18 September 1 7 September 22

September 30 and October 28-29 1 987 and January 13 1 988 Means of

al l parameters measured i n the study s i te are presented i n Tabl es 4 4

and 4 5 by date but wi thout regard to treatment stat i on or depth

4 -8

The most notabl e of the in ll1Y parameters i s di ssol ved oxygen

More than 32 of al l observat i ons made were i n v i ol ati on of t he 5 0 mg1

i nstantaneous d i s so 1 ved oxygen cri teri on for C1 ass I waters and 20 of

a l l observat i ons were bel ow 4 0 mg1 (Tabl e 3 4 ) Samp1 i ng t i mes were

skewed toward the morn i ng hours and were thus abl e to record the effects

of pre-dawn resp i rati on of aquat i c vegetat i on at the s i t e

Surface sampl es were al so col l ected i n the Ki s s i mmee Ri ver

approximatel y midway between the S R 78 bri dge and Lake Okeechobee i n

add i t i on t o those sampl es spec i fi ed by the scope of work (Tabl e 4 6 )

Ion content ( sod i um potass i um chl ori de al kal i n i ty s i l i cates )

typi cal l y was l ower i n the ri ver than the s i te waters and i ncreased

sod i um and chl oride concentrat i ons were observed i n the southern port i on

of the study area The ri ver was general l y l ess turbi d ( turbid i ty total

suspended sol ids ) hi gher in col or and apparent ly represented a source

of d i ssol ved i ron to the area

Both throughout the s i te and i n the Ki ss immee Ri ver d i ssol ved

copper l evel s i f detected were only sl i ghtl y above the l i m its of

detect i on The same was true of n i trite-ni trogen wi th the excepti on of

the January sampl i ng On th i s date concentrati ons at the Ki ss inunee

stat i on were h i gher (0 027 mg1 ) than the rema i nder of the stat i on s and

concentrat i on grad i ents were apparent across the study s i te Data on

col or si l i cates and i norgan i c carbon al though presented i n the

append i x wi l l not be extens i vel y analyzed i n thi s sect i on as such data

were pri mari l y col l ected for use i n i nterpretat i on of phytopl ankton

anal yses

IV D DATA REDUCTIONS

Stati sti cal anal yses of i n s i ty and chemi cal data empl oyed one and

two-way analyses of vari ance where treatment effects ( harvested non shy

harvested stat i ons depths ) were consi dered as fi xed (Model I ANOVA)

Two-way anal yses were conducted empl oyi ng the same assumpt i ons when the

rel at i ve magni tude of effects was of i nterest S ign i fi cance l evel s were

set at 0 05 ( P 95) Except where noted anal yses ut i l i zed the

untransformed val ues of the vari ous parameters Log ( base e) data

4-9

trans format i ons were usual ly used to approxi mate normal d i stri but i ons

Parameters trans formed for analys i s i ncl uded orthophosphate ammoni a

n i trate -n i tri te-n i trogen potass i um i ron BOD turbi d i ty TSS and

sod i um

When vari ances among groups were s i gni fi cant i nd i v i dual means

were contrasted us i ng e i ther Student t-tests or Tukey s Student i zed Range

Test wh i ch computes the smal l est HSD ( honestly s ig n i fi cant d i fference )

for determi n i ng d i fferences Both were ap pl i ed at the P - 95 l evel

IV E DISCUSSION

IYr E I In 1i1Y Parameters

D i ssol ved oxygen l evel s and percent s aturat i on of d i ssol ved oxygen

were expected to show the most change from harvest i ng act i v i ti es W ide

d i urna 1 swi ngs shoul d be damped by the removal of 1 arge amounts of

Hydril l a D i urnal pH cycl es and to a l esser extent ORP woul d be

expected to fol l ow thi s pattern as l ess vegetat i on woul d be present to

con sume carbon d i ox ide Seasonal cycl es were expected i n temperature

data however d i urnal cycl es and verti cal thermal grad i ents were l ess

l i kely 1 n areas where dense stands of fl oat i ng Hydri l l a had been removed

For al l parameters wi nd generated m ix i ng i n harvested areas shou ld

1 es sen the degree of al l surface-to-bottom grad i ents Any changes i n

conduct i v i ty at a part i cul ar l ocat i on as a resul t of harvesti ng woul d be

i nd i rect and woul d l i kel y refl ect al terat i ons i n current structure by

removal of the Hvdri l1a mat and the i ncreased fl ush i ng i n harvested

areas

Due to the obv ious d i fferences between sampl i ngs anal yses of i n

tliY data empl oyed two -way ANOVAs usi ng date and treatment ( harvested

Stat i ons 7 8 and 9 and non-harvested Stati ons 10 1 1 and 1 2 ) as

factors Further as vert i cal grad i ents for some parameters appeared

substant i al data sets were al so subd i v i ded i nto surface and bottom

readi ngs and exami ned separately Data were anal yzed from the sampl i ngs

of September 1 7 22 and 30 and January 13 As ant ic i pated sampl i ng

date was a h i ghl y s i gn i fi cant factor for al l i n s i tu parameters

4 - 10

conduct i v i ty ORP pH temperature DO and percent saturat i on Those

parameters exh i bi t i ng d i fferences attri butabl e to harvest i ng impact were

DO and percent saturat i on at both surface and bottom and pH at bottom

No i nteract i ve terms were s i gn i fi cant i nd icat i ng a consi stent and

pred i ctabl e pattern of d i fferences

Di ssol ved oxygen l evel s averaged between 0 5 and 3 6 mgl h i g her

i n the experi mental ( harvested ) transect than i n the adj acent control

stat i ons Th i s pattern was general ly most ev i dent from read i ngs at the

bottom of the water col umn Overal l i ncreases i n percent saturat i on were

approxi mately 20

It shoul d be noted that the majori ty of these data were col l ected

before 1000 ( EST ) and that th i s t i mi ng affected both the magni tude and

the d i rect i on of d i fferences i n DO l evel s Had sampl i ng been conducted

predomi nantly dur i ng mid- to l ate afternoon i t i s most probabl e that the

unharvested and heav i l y weeded areas would have had s i gn i fi cant ly h i gher

DO val ues than the adj acent harvested areas The observed pattern i s

cons i stent wi th an enhanced pre-dawn DO middot sag middot i n areas wi th h i gher

dens i t i es of aquati c vegetat i on (control s ) To ensure that no bi as was

i ntroduced by sequence of sampl i ng on each date stat i ons were ranked by

t i me of sampl i ng the ranks summed by treatment and compared Duri ng that

sampl i ng with the most d i screpancy between treatment rank sums September

30 DO l evel s i ndi cated that thi s was not a seri ous factor

The overal l s i gni fi cance of date i n the previ ous anal yses was due

predomi nantl y to the i ncl us i on of the January data set as can be deduced

from the means presented i n Tabl e 4 4 W i th removal of th i s data set and

reanal ys i s of the three September sampl i ngs the onl y parameters where

date was a s i g n i fi cant factor were pH and ORP I n attempt i ng to quant i fy

the i mmed i ate i mpacts of harvest i ng the removal of the January data set

can be j ust i fi ed on the bas i s that the regrowth of Hydri l l a was

essent i al l y compl ete by th i s sampl i ng and that there were no obv i ous

d i fferences between experi mental and control stat i ons The s i gn i fi cant

d i fferences between experimental and control s for DO percent saturat i on

and bottom pH however were essent i al l y the same i n th i s reanal ysi s

i mpl y i ng that the i mpacts were most marked e i ther wi th i n the th i rty days

of harves t or duri ng that part i cul ar port i on of the growi ng season

4- 1 1

The i ntens i ve fi e l d demonstrat i on sampl i ng carr i ed out on October

28 and 29 1 987 to del 1 neate the invned i ate impacts of harvest i ng was

pr i mari ly desi gned to measure turbid i ty associ ated parameters or

nutri ents rel eased from the sed iments as a resul t of the passage of the

harvester The in 1iY data co 1 1 ected however were subjected to an

ana l ys i s s i mi l ar to the above (Tabl e 4 7 ) D i fferences between harvested

and unharve sted areas were s i gn i fi cant here for a l l parameters but

pri mar i l y for the val ues at depth D i ssol ved oxygen duri ng - th i s

samp 1 1 ng however was l ower overa 1 1 i n the harvested area As water

col umn oxygen demand (BOD ) was comparabl e between transects reference to

sampl i ng t imes the majori ty after 1000 EST cl ari fy thi s apparent

d i screpancy These d i urnal cycl es are apparent i n F i gure 3 7

Duri ng the i mmedi ate impacts sampl i ng conduct i v i t i es were

s i gn i fi cant ly h i gher i n the experimental area than at the control

stat i ons wi th i n one hour of the passage of the harvester ( F i gure 4 6)

Cond i t i ons i n both areas had been comparabl e just pri or to the harvest

Th i s may i l l ustrate the rap id i ty wi th wh i ch fl ush i ng rates are i ncreased

Al l other in 1i1Y parameters wi th the except i on of percent saturat i on

exh i b i ted s ign i f i cant changes over t ime part i cul arly a t the bottom of

the water col umn These are i l l u strated for the rema i n i ng parameters i n

F i gures 3 9 through 3 1 1 where subtl e di fferences produced by harvest i ng

are superi mposed upon d i urnal cycl es The magni tude and s i gn of

d i fferences for many parameters in add i t i on to DO between harvested and

control stat i ons were heav i l y dependent on the t i me of day

Vert i cal grad i ents i n vari ous parameters were expected to be

reduced as a resul t of the removal of the advect i ve barri er of the

Hydri l l a mat and the consequent i ncrease i n wi nd -generated mi x i ng

Anal yses of vari ance of surface mi nus bottom in s i tu val ues as a s i ng l e

vari abl e were performed wi th stati ons

( harvested ) and control ( unharvested

comparat i ve ly non -weeded stat i ons ) Of

categori zed i nto experi mental

i ncl ud i ng both weeded and

the s i x sampl i ngs anal yzed i n

th i s manner surface to bottom grad i ents were most often observed for pH

DO and percent satura t i on Surface DO val ues ranged between 0 3 and 3 8

mgl h i gher (4 -46 saturat i on ) and surface pH between 0 04 and 0 2 SU

h i gher

4 - 1 2

Surface to bottom grad i ents were a 1 so apparent i n both

experi mental and control areas duri ng the immed i ate i mpacts sampl i ng of

October 28 and 29 Except for conduct i v i ty vert i cal grad i ents for these

two treatments were not stat i st i cal l y d i fferent from one another when the

fi ve post -harvest sampl i ng rounds were consi dered as a un i t Thi s

s i mi l ari ty i n grad i ents however shoul d not be confused wi t h the

d i fferences previ ousl y demonstrated between treatment areas for th i s

sampl i ng as the grad i ent anal ys i s i s concerned onl y wi th the d i fference

between surface and bottom val ues and makes no statement concern i ng the

rel ati ve posi t i ons of i nd i v i dual val ues

The fact that gradi ents were present at al l i n the harvested area

duri ng October may impl y that the d i mensi ons of the pl ot from wh i ch

HydrjJ l a was removed ( approxi matel y 6 by 1 20 meters ) were i nsuffi c i ent

for exi st i ng wi nd d i rect i on and vel oc i ty to cause substanti al mix i ng

Water depths ranged between 1 2 and I Sm These grad i ents were present

for pH DO and percent saturat i on agai n for the January sampl i ng i n both

control and experi mental transects wh i ch i s not surpri s i ng i n l i ght of

the degree of regrowth over four months s i nce harvest and the phys i cal

s imi l ari ty of stat i ons at th i s t i me

E2 Chemical Parameters

The anal ys i s of chemi cal data was desi gned to answer the fol l owi ng

questi ons for the sampl i ngs to date

o Are there detectabl e water qual i ty d i fferences between the

experimental and control stat i ons

o If there are was thi s ei ther d i rect l y or i nd i rect ly a product of

harvest i ng act i v i ty or i s i t the byproduct of stat i on l ocat i on

and the resul t of natural d i l ut i on grad i ents ( i e l oad i ng from

the Ki s s immee Ri ver or other sources )

o I f there are no s ign i fi cant d i fferences between harvested and

unharvested areas were d i fferences to be expected on the bas i s of

water mass compos i t i on

4 - 13

Where chemi cal spec i es are not d i rect ly correl ated wi th a d i st i nct

water mass or where i nputs to the water col umn are d i ffuse enough to

prevent the ma i ntenance of a spat i a 1 grad i ent or the detect i on of a

s i ngl e sourc e data analysi s i s s i mpl i fi ed to a compari son of treatment s

experimenta1 s agai nst control s Seasonal trend s i f present can be

factored i nto the stat i st i cal ana lys i s A s i mpl e compari son of harvested

aga i nst unharvested area chemi stry can al so be performed shoul d i on

content and rat i os i ndi cate that these water masses were i denti cal duri ng

sampl e col l ect i on and that d i l ut i on grad i ents can be i gnored

However when nutri ents or other spec i es are i ntroduced i nto a

system a ssoc i ated wi th a di sti nct water mass and when d i l ut i on with

ex i st i ng waters produces detectabl e gradi ents the quest i on s become more

compl ex In add i t i o n b i ol og i cal uptake wi l l produce non - l i near

rel a t i on sh i ps and the separati on of harvesti ng impacts from expected

gradi ents becomes more d i ffi cul t

The compl ex i ty of these questi ons i n the presence of d i l ut i on

grad i ents can be i l l ustrated graph i cal l y by reference to Fi gure 4 1 2

where hypotheti cal data appear In the fi rst part parameter X i s a

l i near func t i on of sod i um or i n other word s X i s a l so a con servati ve

parameter so i ts absol ute l evel i s affected onl y by d i l uti on wh i ch

mai nta i n s a constant X Sod i um rat i o Th i s regress i on would be devel oped

u s i ng one day s data from the ent i re gri d of n i ne control stat i ons across

the study s i te The hypothet ical data from a harvested stat i on (Stat i on

7 ) and the control (Stat i on 10 ) are al so pl otted It i s apparent that

wh i l e the l evel s of parameter X at the harvested and control stat i on

shown are probabl y not stat i st i cal l y d i fferent from one another the

harvested stat i on c l earl y fal l s outside of the 95 confi dence i nterval of

the X Sod i um regress ion for thi s data set and d i fferences from the l evel s

expected may refl ect harvest i ng i mpacts

In the second port i on of Figure 4 1 2 an al ternate s i tuat i on i s

i l l ustrated where the 1 eve1 s of parameter X at h arvested and control

stat i ons are shown to be c l earl y d i fferent However it i s apparent that

the water mass at the harvested stat i on i s sl i ghtl y more d i l ute and that

the correspond i ngl y l ower l evel s of parameter X are to be expected I n

4 - 14

both s i tuat i ons any b i ol og i cal processes affect i ng parameter X wi l l

produce even more compl ex rel at i onsh i ps

Sod i um and chl ori de were fi rst exami ned for i ns i g ht i nto water

mass movement and d i l ut i on processes occurri ng across the study s i te

The sum of these two i ons ( i n mi l l i equ i va1ent s ) was empl oyed a s an

approxi mat i on of total i on content They were both assumed to be

conservat i ve i e not part i ci pat i ng to any substant i al degree i n

b i ol og i cal processes where they might be sequestered or added to t he

water col umn F i gure 4 13 i l l ustrates thi s d i l ut i on process as i t occurs

across the study s i te The rat i o of sod i um to chl oride was al so

cal cul ated as an i dent i fy i ng feature of a part i cul ar stat i on

The gri d of ni ne control stat i ons was sampl ed on three occas i ons

August 1 8 September 30 1987 and January 13 1988 These data were

exami ned as t hey represented the 1 argest spat i a 1 area Anal yses of

vari ance i nd i cated that both total i on content and sod i um ch1 0r ide rati os

vari ed s ign i fi cant ly wi th respect to sampl i ng date I n l i ght of the

seasonal pattern of preci p i tat i on and the i nfl uence of ri ver d i scharge on

the area th i s was not surpri s i ng I n add i t i on however stat i on was

h i gh l y s i gn i f icant as a factor In the case of sod i um pl us chl ori de

th i s represents a change i n total i on content or d i l ut i on occurri ng

across a spat i al grad i ent ( Fi gure 4 14 ) I n the case of sod i um ch 1 0r i de

rat i os the fact that rat i os are di fferent at d i fferent stat i ons impl i es

that two or more separate water bod ies are represented across the s i te

( F i gure 4 1 5) I nteract i ve terms were al so s i gn i fi cant for each

parameter i nd i cat i ng that d i fferences were not cons i stent across t i me or

space Th i s i s apparent i n compari ng Fi gure 4 13 wi th Fi gure 4 14

As the mi xi ng of more than two water masses together woul d make

ana l ys i s of the rema i n i ng parameters extreme ly mathemat i cal l y compl ex

regress i ons of sodi um aga i n st chl ori de were performed for al l control

stat i ons on the three sampl i ng dates On each date correl at i ons for

l i near rel at ionshi ps were s ign i fi cant at pgt99 9 Th i s resul t al l owed

the use of the assumpt i on that onl y two water masses were mi x i ng across

the s i te Parameters associ ated wi th one of the two water masses coul d

therefore be detected by regress i ons on sod i um or some other conservat i ve

parameter

4 - 1 5

Anal yses of water qual i ty impacts were i n i t i al l y restri cted to

four sampl i ngs September 1 7 22 and 30 1 987 and January 13 1 988

Stat i ons 7 - 9 for experimental and Stat i ons 10 - 1 2 for control s (Stat i on

7 5 and 10 5 were used for the J anuary data set as an area wh i ch

i nc l uded Stat i on 7 had been reharvested shortl y before the sampl i ng )

S i gn i fi cant amounts of vari ati on between experi mental (Stat i on s 7

8 9 ) and control s ( Stati ons 1 0 1 1 1 2 ) as groups were found us i ng

two-way ANOVAs wi th date and treatment as factors (Tabl e 4 8 ) Al l

n i trogen and phosphorus spec i es (wi th the except i on of orthophosphate )

conta i ned s i gn i fi cant amounts of vari at i on d i stri buted between the

harvested and unharvested control stat i ons In add i t i on for BOD

turb id i ty and total suspended sol i d s d i fferences were present as wel l

As expected potassi um fl uoride chl ori de and sod i um d i d not d i spl ay

s i gn i fi cant vari ati ons between data from harvested and unharvested

stat i ons I ron copper total organ i c carbon and al kal i n i ty were al so

not s i gn i fi cant ly d i fferent between treatments

As d i scussed above however d i fferences between harvested and

unharvested areas are strai ghtforward onl y i f I water masses i n each of

the two treatment areas were identi cal or 2 the anal yzed parameter has

no s i gn i fi c ant rel ati onsh i p to a part i cul ar water mas s or to sod i um

Al though n o s ign i fi cant d i fferences i n sod i um o r chl ori de

concentrat i ons were observed between harvested and unharvested stat i ons

as a group di 1 ut i on grad i ents of these parameters were present wh i ch

paral l el ed the axi s of the harvested transects ( Fi gure 4 1 4 ) As a

resul t the data envel ope for the stati ons of a s i ngl e treatment was

l arge i n compar i son to any subtl e d i fferences between transects (F i gure

4 16 ) The fact that any di fferences were detected between experi mental

and control transects (Tabl e 4 8) impl i ed that they were substanti al

enough to overr ide the wi th i n -treatment vari abi l i ty expected from the

sod i um grad i ent S i gn i fi cance of i nteract i ve tems i n these model s

i nd i cated that d i fferences were not cons i stent from sampl i ng to sampl i ng

To d i rect l y compare harvested and non-harvested water qual i ty the

water of the two treatments must represent i dent i cal d i l ut i ons of source

and rece i v i ng waters As d i l ut i on gradi ents were roughly paral l el to the

transect axes stat i ons were pa i red and the d i fferences of experimental s

4 - 1 6

l ess control s cal cul ated for each pa i r of sod i um and chl ori de data

( Stat i ons 7 - 1 0 8- 1 1 9 - 1 2 Tabl es 4 9 4 10 ) The mean d i fferences

computed for al l sampl i ngs or for each date were on no occas i on d i fferent

from zero ( t - tests ) I n add i t i on no cons i stent pattern of d i fferences

was observed The conc1 us i on was that wh l l e di fferences 1 n the water

mass were present between stat i ons w ith i n a s i ngl e treatment harvested

stat i ons and t he i r adjacent control pai rs represented i dent i cal waters on

each date w i th respect to d i l ut i on

As water masses were i dent i cal the d i fferences i n parameter

concentrat i ons were cal cul ated for each stat i on pa i r as for sod i um and

chl ori de above These d i fferences are summari zed i n Tabl e 4 1 1 for those

parameters for wh i ch treatment was a s i gn i f icant factor i n the two-way

ANOVAs descri bed above (Tabl e 4 8 ) The magn i tudes of the d i fferences on

i nd i v i dual dates when not stat i st i cal l y equ i val ent to zero are al so

presented

Us i ng the pai red compari sons of stat i ons al l n i trogen s peci es and

total phosphorus exh i bi ted s i gn i fi cant al though subtl e d i fferences

between harvested and unharvested areas for the sampl i ngs to date (The

only date where orthophosphorus showed treatment d i fferences was on

September 22 and on th i s occas i on the magni tude was onl y 0 002 11191

1 ess than the 1 im i t of detect i on ) These d i fferences are most notabl e

for n i trate and ammon i a n i trogen and are i n add i t i on to any d i l ut i on

grad i ents across the s i te They can be presumed to refl ect the i mpacts

e i ther d i rect or i nd i rect of harvest i ng

Concentrat i ons where d i fferent were typi cal l y l arger i n the

unharvested control transect Th i s may be attri buted to e i ther uptake by

regrowth at harvested stat i ons or to the rel ease of nutri ents by

senescent macrophytes or peri phyton at the unharvested l ocat i ons

Fl oat i ng mats of Hydrj 1 1 a i n vari ous cond i t i ons were present through the

September 30 sampl i ng

B i ochemi cal oxygen demand turbi d i ty and suspended sol i d s al so

showed d i fferences us i ng stat i on pa i rs al though i n the i n stance of

suspended sol i ds concentrat i ons were sl i ghtl y h i gher at the harvested

stat i ons Wi nd -generated sed i ment resuspensi on i n harvested areas and

suspended senescent pl ant materi al i n the unharvested areas (contri but i ng

4- 1 7

to turbi d i ty and oxygen demand but wi th rel at i vely l i ttl e dry we i ght ) are

postul ated to account for these d i fferences Th i s i s supported

c i rcumstant i al l y by the l argest d i fference i n suspended sol ids be i ng

observed on September 30 when w i nd cond i t i ons were the most extreme of

any of the days sampl ed

The l argest number of parameters d i fferent between harvested and

weeded areas was al so observed on September 30 wh i l e the fewest were

seen on January 1 3 1 988 Whether th i s d i stri but i on across t ime i s a

res ul t of 1 ) vary ing nutri ent uptake rates throughout the growi ng season

2 ) the essent i al l y compl eted regrowth observed by the January s ampl i ng

3 ) the h i gher l ake l evel s and l ack of a fl oati ng mat of Hydri l l a perhaps

reduc i ng res idence t i mes of water across the s i te duri ng January or

4) the h i gher January nutri ent l evel s maki ng d i fferences more d i ff icul t

to d i scern i s i mposs i bl e to resol ve

Another techn i que for data anal ys i s was empl oyed on the September

30 and January 13 data sets for those parameters wh i ch were associ ated

wi th d i l ut i on grad i ents across the s i te Bri efl y i f the grid of control

stat i on s d i spl ayed s i gn i fi cant regress i ons with sod i um theoret ical

parameter concentrat i ons were cal cul ated for al l control and experimental

stati ons based on the observed sod i um data and that funct i on wi th the

h i ghest regress i on coeffi ci ent Res i dual s (V i - V hat) were then

compared by t - tests between means of experimental and control groups to

determi ne i f popul ati ons were the s ame (no impacts F i gure 3 1 2B) or

d i fferent ( i mpacts Fi gure 4 1 2A)

L i sted i n Tabl e 4 1 2 by date are the regres s i on types and

coeffi c i ents of the vari ous parameter concentrat i ons wi th sod i um Onl y

surface data from control stat i ons were used The vari ed nature of i nputs

to the s i te i s exempl i fi ed by F igures 4 1 7 and 4 18 dep i cti ng the vast l y

d i fferent d i stri buti ons of orthophosphorus between September and January

Whi l e rel at i vel y few parameters were apparentl y associ ated wi th

d i l ut i on duri ng the August sampl i ng the h i gher l oads i n September and

January perhaps coupl ed with sl owed uptake and growth rates duri ng the

l atter part of the year may produce l onger water col umn res idence t i mes

for nutri ent spec i es and permi t the detect i on of d i l ut i on grad i ents i n

4 - 18

these parameters Chl ori de and potas s i um and any other parameter onl y

s l ightl y affected by bi ol og i cal act i v i ty shoul d certa i nl y produce

s i gn i fi cant rel ati onsh i ps (The l ack of s i gn i fi cance of fl uor i de wi th

res pect to sod i um i s attri buted to the extremel y l ow l evel s encountered

e g concentrat i ons at or bel ow the l i mi t of detect i on for th i s

parameter )

Overal l the res i dual s anal ys i s of sod i um dependency proved l es s

sens i t i ve than that o f the pai red stat i ons anal yses O f the twenty-two

parameter-date combi nati ons where a s i gn i fi cant regress i on wi th sod i um

was obtai ned res i dual s of experimental stat i ons were s i gn i fi cant ly

d i fferent from res i dual s from control stat i ons for onl y three parameters

- - orthophosphorus and al kal i n i ty duri ng September 30 1 987 and n i tri teshy

n i trogen dur i ng January 13 1 988 Figure 4 19 superimposes the

experi mental stat i on orthophosphorus concentrati ons upon the rel at i onsh i p

devel oped for control stati ons i n September I t can be seen here that

the experimental stat i ons (X) are not evenl y d i stri buted around the

regress i on l i ne

Orthophosphorus concentrat i ons on th i s occas i on were l ower i n

the experi mental transect but onl y by 0 002 mgl l ess than the l i mi t of

detect i on Al kal i n i t i es at these stat i on s were h i gher than sod i um

concentrat i on s mi ght pred i ct by about 9 mgl as CaC03 Duri ng January

n i tri te - n i trogen was al so l ower at the harvested stat i ons than woul d be

expected on the bas i s of d i l ut i on al one but aga i n by l ess than the l imi t

of detect i on

As troph i c states and nutri ent l i mi tati ons wi thi n Lake Okeechobee

area of concern rati os of d i ssol ved and i norgan i c n i trogen to phosphorus

spec i es were cal cul ated and summari zed i n Tabl e 4 1 3 On a we ight bas i s

systems wi th rat i os l ess than 1 0 are typ i cal l y cons i dered n i trogen

1 i mi ted wh i l e phosphorus 1 im i tat i ons occur at rat i os greater than 1 7

( Sakamoto 1 966) Wi th th i s cr i teri on the waters o f the study s i te are

cl earl y n i trogen l imi ted i n contrast to al gal assays performed i n the

v i c i n i ty duri ng 1 974 and 1 975 ( Dye et al 1975 ) These resul ts have the

most consequences for phytopl ankton popul ati ons rather than macrophytes

as the rooted pl ants are capabl e of extracti ng at l east some i f not the

majori ty of thei r requ i red nutri ents from the hydroso i l

4 - 19

The stati st i cal anal yses d i scussed earl i er for the i ndi vi dual

parameters determi ned i norgan i c ni trogen spec i es to be h i gher i n the

unharvested control stat i ons and orthophosphorus to be s l i ghtl y l ower

ANaYA s of N P rat i os al so found s i gni fi cant d i fferences The treatment

( harvested or unharvested ) or stat i on was more important than date i n

account i ng for vari ati on Al l September and January sampl i ngs combi ned

produced mean N P rat i os for the harvested stat i ons ( 7 - 9 ) of 3 0 and for

the unharvested d i fferences coul d be attri buted e i ther to uptake by

act i vel y growi ng p l ants or to rel ease of nutri ents by senescent p l ant

materi a 1 Oi fferences between harvested and nonharvested areas were

l east apparent duri ng the January sampl i ng when ri s i ng l ake l evel and

Hydri l l a regrowth combi ned to i ncrease stat i on to stat i on phys i cal

s i m i l ari t i es

E 2 Bacteri ol ogi cal Parameters

Resul ts of total col i form anal yses (membrane fi l ter techn i que) of

sampl es col l ected on August 18 September 1 7 22 30 1987 and January 13

1 988 appear in Tabl es 4 1 4 After the August fi e ld effort sampl es were

col l ected i n conjuncti on wi th the phytopl ankton work and al l sampl es were

anal yzed by EQL Overal l bacteri ol ogi cal qual i ty was qu i t e good wi th

on ly a s i ngl e sampl e exceed i ng the 1000 counts per 100 ml cri teri on for

Cl ass I waters Th i s s i ngl e val ue of 5000 (Stat i on 1 1 September 30

1 987 ) was cl as sed as a stat i st i cal outl i er for the study as a whol e The

other two val ues from sampl es col l ected s i mul taneously were 900 and

100100 ml Most stat i on means were bel ow 200 countslOa ml

Stat i st i cal anal yses of these data empl oyed natural l og

transformat i on s Two way ANaYA s (by date and treatment and by date and

s t at i o n ) prod uced s i gn i fi cant terms for date and i nteract i ve

rel at i onsh i ps however nei ther harvesti ng nor stat i on accounted for

s ign i fi cant amounts of vari at i on Further anal yses cons i sted of mul t i pl e

l i near regress i ons of l og transformed total col i form counts aga i nst BOD

turb i d i ty total suspended sol i d s sod i um and chl ori de content ( as water

mass i ndi cators ) col or and s i l i cates A s i gn i fi cant regress i on model

whi ch i ncl uded BOD col or and TSS was obtai ned (r2 = 0 255 n 72) A

4 -20

d i rect rel ati onsh i p wi th BOD was not surpri s i ng The vari at i on wi th

col or val ues may be support for runoff control l ed bacteri a l evel s in the

l ake i ncreas i ng duri ng peri ods of h i gh d i scharge or backpump i ng (wh ich

are themsel ves characteri zed by i ncreased col or l evel s from t he

accumul ated surface waters An i nverse rel at i onsh i p w i th TSS l evel s was

l ess amenabl e to i nterpretat i on and i s l i kely to have been an art i fact of

some other control l i ng i nfl uence

IV E WATER QUALITY IMPACTS - QUALITY ASSURANCE OBJECTIVES

Prec i s i on and accuracy targets and resul ts for in ll1Y water

qual i ty parameters are presented in Tabl e 4 1 5 Prec i s i on est i mates were

based on dupl i cate in 1iY determi nat i ons expressed as percent rel ati ve

standard devi at i on (S RSD) Measurements at one stat i on per day were

typ i cal l y repl i cated i n thi s fash i on Prec i s i on est i mates for fi el d

measurements necessari l y i nc l uded the representati veness of the sampl i ng

as any non - homogene i ty of the s i te bei ng sampl ed appeared i n these

resul t s

Accuracy was determi ned from both pre- and post - sampl i ng

cal i brat i on of i nstrumentati on and where appl i cabl e the s i mu l taneous

col l ect i on of sampl es for l aboratory analysi s wi th al ternate procedures

or equ i pment Thi s was expressed as percent recovery ( R) of

f i el dl aboratory val ues t i mes 1 0 Col l ect i on of sampl es for

veri f icat i on was typi cal l y conducted at a rate of 1 for every 1 0 stati ons

samp l ed For th i s project di ssol ved oxygen and conducti v i ty were so

veri fi ed

Comparabi l i ty o f data was veri fi ed duri ng the pre- and postshy

sampl i ng cal i brati ons of i nstrumentat i on aga i nst standard sol ut i ons or

phys i c al constants Compl eteness of in 1iY data was esti mated to be

greater than 88 throughout the sampl i ngs to date

The qual i ty assurance object i ves for l aboratory anal yses were

anal ogous to those d i scussed for the i n s i tu parameters and are l i sted i n

Tabl e 4 14 Prec i s i on esti mates were determi ned from the anal yt i cal

resul ts and SRSD between the concentrati ons of two al i quots of a s i ng l e

conta i ner Dupl i cate analyses were performed at a rate of at l east one

4 - 2 1

for every ten sampl es The RSD between sampl es only sl i ghtly above the

l i mi t of detect i on i s often qu i te h i gh al though the analys i s i s

extremel y prec i se ( L e 0 001 and 0 002 11191 47 1 RSD ) Some mean

tRSD val ues and SD val ues are skewed by these seemi ngl y i mprec i se

dupl i cates that are actual l y wi th i n QA l i mi ts Accuracy of analyses was

assessed by the analys i s of sampl es to wh i ch known amounts of standard

materi al s had been added

IVG I NTERIM SUMMARY AND CONCLUSIONS

The study area i mmedi ately south of the entrance of the Ki s s 1mee

R i ver i nto Lake Okeechobee represents a compl ex combi nat i on of factors

wi t h regard to water qual i ty Vari at i ons with t i me were observed for

almost al l parameters measured D i ssol ved oxygen v i ol at i ons of the 5 0

11191 i nstantaneous cri teri on were common and d i urnal cycl es of DO and

rel ated parameters were apparent The skew i n sampl i ng t i mes toward the

morn i ng hours undoubtedly i ncreased the number of observed v i ol at i ons

a l though sampl i ng l ater i n the afternoon woul d i ncrease the percent

saturat i on of d i ssol ved gases and val ues i n excess of the 1 10 cri terion

wou l d have resul ted

In li1Y parameters were i n i t i al l y eval uated for stat i st i cal

d i fferences between harvested and unharvested stat i ons as a grou p

Di fferences i n DO percent saturat i on and p H were observed and were most

marked at the bottom of the water col umn and duri ng the September

sampl i ngs Pred i ct abl y harvesti ng reduced the ampl i tude of the d i urnal

DO cycl e such that DO concentrat i ons were h i gher i n the harvested

transect i n the morn i ng hours and l ower duri ng the afternoon Both the

magn i tude and the d i rect i on of the observed d i fferences were therefore a

funct i on of the t i me of sampl i ng

A rap i d change i n water masses was al so observed at harvested

stat i ons and th i s was attri buted to the i ncreased fl ush i ng potent i al

produced by Hydri l l a removal Inten s i ve surveys detected vert i cal

grad i ents of s i mi l ar magn i tudes for i n s i tu parameters at both harvested

and control stati ons The s i ze of the harvested transect may have been

too smal l to al l ow wi nd-generated vert i cal mi xi ng to be effect i ve

4-22

Bacteri ol og i cal water qual i ty at the s i te was good overal l wel l

wi th i n the 1000 1100 ml cri teri on and correl at i ons w ith col or BOD and

TSS were present Col or rel at i onshi ps i ndi cate a functi onal rel at i onsh i p

of total col i form wi th d i scharge i nto the l ake whi l e the rel at i onsh i p

wi th TSS was i nverse

Chemi cal water qual i ty d i stri but i ons at the s i te were a l so qu i te

compl ex Spat i al and d i l uti on grad i ents produced by the i nfl uence of the

K i s s i mmee Ri ver were qu i t e apparent as determi ned by conservat i ve

parameters such as sod i um and chl ori de The d i l ut i on grad i ents were

roughl y paral l el wi th the l ong axi s of the harvested transects such that

a progress i on of i ncreas i ng strengths of Lake Ri ver d i l ut i ons were

observed al ong both the experimental harvested transect and the adjacent

unharvested control transect Thi s transl ated to a h i gh wi th i n -treatment

va ri a b n i ty of water masses compared to the between- treatment

vari abi l i ty wh i ch i n turn may obscure d i fferences between harvested and

unharvested areas i n stra ightforward stat i st i cal compari sons

Overal l stat i sti cal techni ques were sat i sfactory because the

number of sampl es adequate for determi ni ng di fferences i n concentrat i ons

was at or near the analyt i cal l imi ts of detect i on The three stat i st i cal

anal yses were 1 ) d i rect compari sons (means test i ng and ANOVA s ) of

harvested to unharvested data sets 2) ana lys i s by d i fference of stat i on

pa i rs ( harvested l ess the adjacent control stati on) and whether

d i fferences were stat i sti cal l y d i fferent from zero and 3) res i dual s

anal ysi s of those parameters wi th a s ign i fi cant rel at i onsh i p w i th sod i um

and whether the popul ati on of res i dual s from control stati ons was

equ i val ent to those from the harvested stati ons

Ana lys i s of harvested versus unharvested data groups by parameter

reveal ed s i gn i fi cant d i fferences between treatments for al l n i trogen

spec i es total phosphorus BOD turb id i ty and total suspended sol i ds

These d i fferences are i n sp i te of the broad envel ope i n water qual i ty

conta i ned wi th i n each treatment type However d i rect compari sons and

correct est i mati on of the magni tude of harvest i ng impacts are poss i bl e

onl y where the water masses of the two treatments can be assumed to

represent equ i val ent po i nts on the d i l ut i on grad i ent

The d i fference i n sod i um and chl ori de concentrat i ons between each

harvested stat i on and i ts adjacent unharvested stat i on was cal cul ated

For al l dates these d i fferences were equ i val ent to zero mean i ng that

the water mass was i dent i cal at Stati ons 7 and 10 at Stat i ons 8 and 1 1

and at Stat i ons 9 and 1 2 The d i fferences i n concentrat i ons between the

stat i on pai rs cou l d then be calcul ated Al l n i trogen spec i es and total

phosphorus concentrat i ons were typ i cal l y h i gher i n the unharvested

transect On the one occas i on where orthophosphorus d i ffered between

treatments i t was s l i ghtl y h i gher i n the harvested transect Turbid i ty

and BOD were al so h i gher at the control stat i ons wh i l e total suspended

sol i ds were sl ightly l ess Uptake by macrophytes i n act i ve regrowth

rel ease o f nutri ents by senescent and matted pl ant mater i al and wi nd shy

generated resuspens i on may account for thi s pattern

Ana lys i s of those parameters associ ated wi th d i l u t i on and of those

wi th s i gn i fi cant correl at i ons wi th sod i um proved l ess sens i t i ve for

detect i ng d i fferences Al though many parameters d i spl ayed s i gn i f icant

rel at i onsh i ps the i r d i stri but i on around the regress i on l i ne was

cons i derabl e and res i dual popul at i ons were s i gn i fi cantly d i fferent

between treatments for only three parameters

The s i te as a whol e appeared to be n i t rogen 1 i mi ted based on

we i g ht r at i os of i norgan i c n i trogen forms to orthophosphorus

O i fferences between harvested and unharvested areas were apparent here

al so w i th average rat i o s of 3 0 and 9 4 respect i vely

IVG RECOMMENDATIONS - FINAL REPORT

For the rema i n i ng two quarterly sampl i ngs i n th i s task a

real l ocat i on of effort i s proposed wh i ch woul d del ete copper and fl uori de

from the anal yt i cal su i tes These two parameters were e i ther at or near

the 1 im i ts of analyt i cal detect i on for al most al l s ampl es and

stat i sti cal analyses were not effect i ve i n determi n i ng any d i fferences

attri butabl e to harvest i ng at these l ow concentrat i ons N i tri teshy

n i trogen however shoul d be reta i ned Al though l evel s were l ow they

are i mportant i n th i s n i trogen 1 i mi ted system and d i fferences between

treatments were apparent The Ki ss i mmee R i ver stat i on shou l d cont i nue to

4-24

be sampl ed and another stat i on shou l d be added to the west of Stat i on 1

toward Buckhead Ridge as an i ntermi ttent nutri ent i nput may be present

there Mon i tori ng of these two add i t i onal stat i ons shou l d cont i nue for

al l parameters In pl ace of copper and fl uor ide anal yses d i ssol ved

cal c i um i s suggested as a repl acement to prov ide a bas i s of compari son

wi th other work done prev i ously i n the l ake and to exam i ne i ts behav i or

across the s i te The poss i b i l i ty of mov i ng the exper imental and control

stat i on pai rs ( Stat i ons 7 - 1 2 ) to the most recently harvested area for the

subsequent sampl i ng i s currentl y be i ng d i scussed wi th the task l eaders of

the i nter-rel ated tasks

Future data exami nat i ons wh i ch wi 1 1 be conducted for the fi nal

report of th i s project i ncl ude the deta i l ed assessment of l i ght

penetrat i on profi l es and the effect of the weed mat upon these The data

from the 24 hour fi el d demonstrat i on sampl i ng wi l l be eval uated w ith

regard to chemi cal parameters and the i mmedi ate effects produced by

harvest i ng S i l i cates col or and i norgan i c carbon data wi l l be

processed as wi l l the rema i n i ng parameters for d i fferences between

experi mental and control stat i on s and a further anal ys i s of d i ssol ved

oxygen wi th cons i derat i ons for t i me of day vegetat i on and even sed i ment

type wi l l be conducted

4-25

LITERATURE CITED

Dye C W D A Jones L T Ros s R L Wi l l more 1 975 L imi t i ng nutri ents i n the Ki ss i llll1ee Ri ver - Lake Okeechobee Bas i n based on al gal assay techni ques Fl a Dept Envi ronmental Regul at i on Sakamoto H 1 966 Pri mary product i on by phytopl ankton conununi ty i n some Japanese l akes and i ts dependence on l ake depth Arch Hydrobi ol 62 1 - 28

4-26

Table 4 1 Mean IDran coordinates of water quality staticns

STATIOO NO

1 2 3 7 7 5 8 9 10 10 5 11 12 13 15 16

Ipound)RAN 1 JPRAN 2

14313 2 45453 2 14312 6 43449 1 14312 4 43445 9 14313 6 43449 1 14313 4 43448 2 14313 2 43447 7 14312 9 43446 1 14313 7 43448 5 14313 5 43447 7 14313 4 43447 3 14312 9 43445 7 14315 1 43444 6 14313 9 43443 2 143109 43437 8

Table 4 2 water Quality parameters methods ard holdirq times

Parameter

TeJlFerature Corrluctivity pi ORP Dissolved Oxygen Light Penetratim Secxhl laboratory 0rthqil0spl0rus (D) Total AlosJtIorus (D) AImalia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrogen (D) Total Kjeldahl Nitrogen ium (D) Ccgler (D) Iran (D) Total OJgan1c carbon Alkalinity Biochemical Oxygen DeuanI lu1)idity SUspenled Solids Ibtal Ollifonn auoride Scdium Fluoride Color silicates (D) Inorganic Cartlon

MetbodlInstrument

Martek Mark VII Martek Mark VII Martek Mark VII Martek Mark VII YSI 57 LiOlr Secxhl Disk (LiDngtlogical)

EPA 365 1 365 3 EPA 365 3 365 4 SM 417F EPA 350 3 EPA 353 3 353 3 EPA 353 2 353 3 EPA 351 2 SM 30lA SM 303A B SM 303A B EPA 415 1 8M 403 4C EPA 3102 EPA 405 1 EPA 180 1 SM 2090 8M 908A 909A SM 4070 EPA 325 3 SM 303A EPA 3402 SM 204A B EPA 370 1 SM 425C EPA 415 1

Holdirg TimePreservative Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable

Filter iDmSdiately 48 hrs4Oc 28 daYSH2S04 to pllt2 40c Filter bImadiately 28 daYSH2S04 to pllt2 40c Filter bImadiately 48 hrsH4 to pllt2 40c Filter iDmSdiately 28 daYSH4 to pHlt2 40c 28 daYSH2S04 to pllt2 40c Filter iDmSdlately 6 1IDSIftll) to pllt2 40c Filter iDmSdiately 6 1IDSIftll) to pllt2 40c Filter inmediately 6 1IDSIftll) to pHlt2 40c 28 daYSH2S04 to pIlt2 40c 14 days4oC 48 hrs4Oc 48 hrs4Oc 7 days4Oc 6 hrs4Oc 28 days4Oc Filter inmdiately 6 lOOIlthslftll) to pIlt2 40c 28 days4Oc 48 hrs4Oc 28 days4Oc 28 days4Oc

EPA = EPA 6004-7920 Methods for OJemical Analysis of water ard wastes SM = stanIard Methods for the Examination of water ard wastewater 15th Fdition 1980 (D) = Dissolved

Tabl e 4 3

Date

Aug 18 1987

Sept 17 1987

Sept 22 1987

Sept 30 1987

Oct 28-29 1987

Jan 13 1988

Sampl i ng efforts and dates Water Qual i ty Tas k

Sampl i ng Type

Basel i ne

Short Term Impacts

Short Term Impacts

Quarterly

F i el d Demonstrat i on

Quart erly

No of Stat i ons

9

6

6

12

6

12

No of V i al s

1

1

1

1

6

1

Table 4 4 site averages of in situ parameters by sanplirg date all stations all depths

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 28 18 18 36 144 68

2 SD 2 S D 2 S D S( S D S( S D 2 SD

onluctivity 0 5350 0661 0 5397 0351 0 5074 0550 0 4985 0517 0 3921 0731 0 3017 0895

ORP 493 109 441 42 298 77 293 47 295 31 247 55

Pi 8 02 0 55 8 27 0 34 7 56 027 7 47 043 7 72 0 51 7 59 0 30

lenperature 28 95 144 27 34 0 50 27 23 054 26 67 041 23 11 099 16 67 078

Dissolved Oxygen (00) 5 02 3 20 3 51 2 20 2 87 1 32 5 11 2 28 664 2 25 8 16 1 58

PeJta1t SaturatiCBl 66 1 42 9 44 4 27 9 36 3 16 7 64 0 28 6 77 8 269 84 0 16 7

00 cbs lt1 0 nql 128 318 218 336 0144 168

00 cbs lt4 0 nql 1428 U18 1318 936 14144 168

00 cbs lt5 0 ugII 1428 1218 1618 1536 41144 268

Table 4 5 Site averages of water quality parameters by sanplirg date all stations all depths

1987 l2sectsect AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 39 18 18 48 7 3 54 K SD K SD I SD K S D K SD K SD

0rthqil0sJil0 0 019 0 007 0 017 0 005 OOll 0 003 O OlS 0 014 0 033 0 011 0 082 0 045 Total rus 0 07 0 11 0 10 0 01 0 08 0 01 0 09 0 03 0 12 0 06 0 15 0 05

Anrncnia-nitrogen 0 039 0 018 0 04 5 0 042 0 017 0 012 0 012 0 017 0 040 0 029 0 04 6 0 036 Nitrite-nitrogen 0 004 0 001 0 005 0 004 0 004 0 001 0 003 0 003 0 004 0 001 0 008 0 004 Nitrate-nitrite-nitrogen 0 009 0 003 0 034 0 036 0 039 0 021 0 048 0 046 0 038 Q 019 0 190 0 039 Total Kjeldahl nitrogen 1 52 0 26 1 75 0 15 1 55 0 28 1 47 0 18 1 29 0 20 1 20 0 17 Potassium 4 4 0 9 4 7 0 3 4 5 0 3 4 2 1 0 2 9 0 5 3 9 1 0

Cqpar 0 003 0 002 0 003 0 002 0 003 0 001 0 002 0 001 0 001 0 001 0 002 0 002 Iron 0 002 0 002 0 014 0 007 0 014 0 007 0 015 0 019 0 048 0 018 0 090 0 031 ampxlium 4 8 9 7 6 47 3 4 6 46 9 4 7 49 0 9 4 31 0 8 9 28 2 8 1 Olloride 8 5 8 13 1 79 6 6 4 76 5 8 6 76 2 10 0 55 9 14 9 48 2 16 7 Fluoride 0 3 0 03 0 3 0 05 0 3 0 03 0 3 0 04 0 1 0 03 0 2 0 03 lbtal organic carlxln 2 1 7 1 6 17 9 0 9 18 1 0 8 18 4 1 0 19 7 2 5 18 4 3 0 Alkalinity 105 14 117 5 113 8 1U 10 7 3 15 68 lS Biochemical oxygen deHard 1 9 1 0 2 7 1 3 2 2 0 6 2 3 1 2 1 5 0 7 1 1 0 6 lubidi ty 2 4 1 9 4 2 0 9 4 1 1 5 4 0 2 9 3 1 2 5 3 7 2 1 Total susperded solids 3 3 3 3 6 0 2 3 5 7 2 4 6 3 4 7 4 5 3 9 3 1 4 1 Oller 61 5 66 9 81 9 113 10 silicates 12 8 2 2 13 1 2 2 12 0 3 0 5 4 0 5 Inorganic carlon 17 4 4 3 19 9 2 8 20 4 4 4 11 9 5 2

11=18

Table 4 6 site averages of water quality parameters for the KissiJulse River by sanpling date

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 JAN 13

0 032 0 096 0 12 7 0 116 0 063 Total (ilcsphorus 0 09 0 18 0 20 0 20 0 12 Almalia-nitrcgen 0 021 0 036 lt0 005 0 017 0 069 Nitrite-nitrcgen lt0 005 lt0 005 lt0 005 lt0 005 0 027 Nitrate-nitrite-nitrogen 0 012 0 009 0 072 0 188 0 151 Total Kje1dahl nitrogen 0 51 1 39 1 40 1 12 1 08 Ibtassium 3 7 3 6 3 5 2 9 3 2

((gler 0 003 0 003 0 004 0 001 lt0 001 Iron 0 008 0 085 0 095 0 172 0 225 Sodium 3 3 4 2 6 5 24 2 2 1 0 15 0 Olloride 60 6 47 8 4 1 9 38 7 23 7 Fluoride 0 3 0 3 0 3 0 2 0 2 Total organic cartxn 19 6 19 5 19 9 18 8 17 4 Alkalinity 89 7 3 66 57 34 Biochemical oxygen daDaM 2 4 3 0 1 5 1 3 0 5 lJnbidity 3 0 3 9 2 7 2 3 2 3 Total suspenied solids J 9 4 8 4 0 2 5 2 0 Color 110 130 130 125 Silicates 6 58 6 42 5 67 3 17 Iooxganic carbon 4 4 9 6 7 2 1 1

Tabl e 4 7 S i g n i f icant F middot test rat i os for two-way ANOVA s by treatment and samp 1 1 ng round for in illY data co 1 1 ected duri ng fi el d demonstrat i on samp l i ng October 28-29 1987

FmiddotTET RAT IOS

TREATMENI ROUND INTERACTION (Exp vs control ) (1-5 only ) (Treatment x Round )

CONDUCTI V lTV Surface 25 99 1 14 56 Bottom 28 3 5 4 26 1 6 73

ORP Surface 2 1 10 Bottom 5 35

pH Surface 32 67 33 10 Bottom 1 1 1 5 4 5 1 4 48

Temperature Surface 104 64 Bottom 21 95 1 1 73 8 17

D i s sol ved Surface Oxygen Bottom 14 1 5 7 98 5 20

Saturat i on Surface Bottom 7 66 3 87

df df error bull 20 F 0 05 [df 20 ] bull

1

4 35

4

2 87

4

2 87

Table 4 8 Significant F-test ratios fnD two way analysis of variane by date ani treatment statiCllS 7-12 only Septedler 17 22 30 1987 ani JanJaIY 13 1988 data

rus dissolved Total pnsphorus Anroonia-nitrogen di ssolved Nitrite-nitrogen dissolved Nitrate-nitrite-nitrogen dissolved Total Kjeldahl nitrogen RltassilDU di ssel ved Cqpr di ssolved Iron dissolved Total organic car1xXl Alkalinity Biochemical oxygen demard TUlbidi ty Total suspenied solids Chloride SOdilDU Fluoride

Degrees of freedaD

Degrees freedan of error = 64

F 0 05 [df 60]

595 12 31 05

4 09 96 71 51 06 31 28

225 02 6 34

424 47 23 36 18 32 28 69

171 46 145 71

49 55

3

2 76

lREMMENl ( vs cxmR)L)

10 24 4 81

17 59 12 57

6 75

6 31 24 03 22 36

1

4 00

3 89

4 64 4 94 5 08

3

2 76

Table 4 9

09-17-87

09-22-87

09-30-87

01-13-88

x = -0 1778 S = 2 7444

Scxtium statioo means Harvested ani unharvested statioo pairs

ScxUum station Means Difference

ExIJerirental COntrol (E-C)

44 5000 42 4000 2 1000 44 3667 4 8 9000 -4 5333 4 9 9667 53 6000 -3 6333

4 3 3000 4 3 9333 -0 6333 4 6 7333 4 2 4000 4 3333 53 1667 51 9333 1 2334

4 1 7667 4 2 5333 -0 7666 4 2 4333 46 0333 -3 6000 4 5 9333 44 2000 1 7333

2 3 4000 2 1 6667 1 7333 25 8667 24 3667 1 5000 26 4333 28 0333 -1 6000

Units are rrgJl

Sn-l

-2 0222 3 5982

2 1611 2 4800

-0 8778 2 6684

0 5444 1 8608

Table 4 10 Chloride statioo means Harvested ani Ulharvested statioo pairs units are ugll

Chloride station Means Difference

Experimental orttrol (E-C)

09-17-87 74 8000 75 4000 -0 6000 78 5000 74 5667 3 9333 0 1444 3 4769 85 5667 88 4667 -2 9000

09-22-87 67 8000 77 0667 -3 2667 74 2000 71 0333 3 1667 1 5778 4 2774 89 9333 85 1000 4 8333

09-30-87 70 1333 71 0667 -0 9334 71 5667 72 3000 -0 7333 -0 4333 0 7000 7 3 3000 72 9333 0 3667

01-13-87 38 2667 3 6 8000 1 4667 44 2000 40 7000 3 5000 1 6556 1 7576 4 3 7000 43 7000 0 0000

Table 4 11 Magnitude of significant differerrss between means of experimental ani onbol transects CCI1igtined ani tri individual dates Units are Dgl

All dates 091787 092287 091087 011388

dissolved 0 002 Total (i1osIi1oros -0 010 -0 024 Almalia-ni trogen

dissolved -0082 -0 060 -0 016 Nitrite-nitrogen di sselved -o OOl -0 004 -0 002 -0 005 -0 001 Nitrate-nitrite-nitrogen -0 029 -oOl2 -0 077 Total Kjeldahl nitrogen -0 10 -020 Potassium di ssel ved -ol Copper dissolved Ian d j ssel ved Total otganic carbal Alkalinity Biodlemical oxygen demand -05 -1 7 llrbidi ty -1 5 -1 l -l 6 Total suspenJed solids 4 7 4 7 4 8 7 0 2 5 OJloride 17 Sodium Fluoride OOl

nql as caC03 NIU

Table 4 12 Reqressioo type ani oorrelatioo ooefficients (r) of sodium vs parameters listed by date r 95 = 0 381 r 99 == 0 48 7

dissolved Ibtal rus Anmlnia-nitnlgen di ssolved Nitrite-nitnlgen dissolved Nitrate-nitrite-nitroqen di ssolved Ibtal Kjeldahl nitroqen RgttassilDU djssolved Qgler di ssolved Iron di ssolvEd Ibtal organic carbon Alkalinity Bioci1emical oxygen demard llrbidity Ibtal suspeOOed solids Q1loride Sodium dissolved Fluoride

L - Linear IN - lDgarithmic E - Exponential P - IOwer

AOO 18 1987

[

E 0 4941

L 0 4816

p -0 8711

E -0 6102

p 0 9460

E 0 3801

SEP 30 1987 JNf 13 1988

[ r

IN -0 8223 L 0 9093 E -0 8675 L 0 8980

L 0 6168 IN -0 4739 E -0 6466

E -0 4185 L 0 8998 L 0 4144 L 0 9056

L -0 3802 IN -0 4440 E -0 3971 L 0 7797 IN 0 6093 IN 0 9617 E -0 5350 E -0 8068 E -0 7956 L 0 9608 IN 0 9619

n == 27

Tabl e 4 13

STA

7

8

9

10

1 1

1 2

Mean N i trogen Phosphorus rat i os by date for experimental and control stat i ons Inorgan i c and d i ssol ved spec i es only Un i ts are mgNmgP n-3 for each mean

SEP 1 7 SEP 22 SEP 30 JAN 1 3 II S D II S D II S D II S D

1 90 1 06 2 12 0 1 1 1 64 0 82 3 97 0 25

3 00 3 46 4 1 2 1 3 1 1 96 0 76 3 27 0 03

2 94 4 06 1 90 1 03 4 69 0 75 3 77 0 04

7 25 3 30 4 88 0 49 2 94 0 51 4 0 1 0 1 3

6 28 2 30 8 92 2 27 9 85 3 08 3 38 0 14

7 94 4 35 1 2 25 0 22 28 3 1 8 94 4 00 0 18

Table 4 14 Quality assuraJICIe targets and nasults for precision and aouracy lake Okeechobee

(D) Total Ftloeqilorus Al1mlnia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrite-

Nitrogen (D) lbtal Kjeldahl Nitrogen Rltassium (D) Cqpar (D) Iron (D) Total Organic carlxln Alkalinity Biochemical OXygen Demand l1rbidi ty Total SUspenled Solids Olloride Sodium (D) Fluoride Silicates (D) Inoxqanic carlxln Color Dissolved OXygen Carrlucti vi ty Tenperature PI

Precisicra

x RSD S D

3 5 3 5 5 6 7 8 1 2 5 7 4 5

2 4 4 5 7 8 3 3 3 3 12 13 2 2 4 5 13 11 1 2 4 5 3 2 5 6 2 3 4 4 2 2 3 2 3 4 13 11 1 2 3 5 5 8 5 4 2 3

Aauracy x Recovery SD

93 6 - 97 6 94 8 - 102 8 99 5 - 957 98 8

99 8 - 98 8 111 17 111 18 100 4 101 5 101 8 106 11

97 11 1004

99 6 99 7 104 5

98 12 96 8 97 11

102 7 101 12 102 5

99 4 99 3

RESUIIIS Precisicra Accuracy

n x RSD SD n x - Recovery

31 2 7 3 4 19 92 5 35 3 1 2 9 20 94 0 20 4 6 6 9 22 97 1 21 0 9 4 4 18 98 8

28 3 1 3 7 26 96 1 31 2 2 2 5 22 107 4 30 3 3 3 0 32 1002 34 4 7 7 0 23 100 3 18 3 9 3 0 23 98 1 86 3 1 2 6 26 98 3 24 98 2 1 95 33 1 1 71 6 3 10 9 28 2 4 2 5 29 8 6 6 1 30 0 26 0 5 19 96 3 3 3 1 9 2 3 31 93 7 30 2 6 2 2 17 1009 14 52 07 8 98 7 62 4 8 3 1 6 105 2 10 0 3 0 6 6 102 9

6 3 1 3 5 16 102 6 9 1 3 1 3 16 99 2

10 0 54 0 62 6 100 1 10 1 18 1 35 12 1007

SD

3 1 6 0

10 0 3 3

6 7 8 7

16 5 3 1

20 6 16 8

1 4

6 0 14 0 11 2

3 9 7 5

11 2 9 2 1 71 1 94 3 99

I I

1

H A R V E S T I N G T R A N S E C T S (l m E X P E R I M E N T AL T RA N S E C T S

middot middot middot middot middot middot middot middot middot middot A PP R OX I M A T E W E E D L I N E

I - I t middot I I I I I )-I t-I sect )- 0

f- 0 Z LIJ J LIJ 01 a o 0 C) l LlJ O degl LIJ laquo LIJ J1 w 0

middot

middot middot

1111 111 bull

m

middot

middot

middot

LAKE OKEECHOBEE

-

N O R T H L A K E S HO A L

F i g u re 4 1 P ro p o sed harves t i ng a rea La ke O keechbee Demo n s t ra t i on Proj ec t

Fi g u re 4 2 Proposed harvest i ng a rea Lake Okeechobee Demonstra t i on Area

M A R K E D S U P PORT ---- t

LIN E

OUTER POLYETHY L E N E

S C R E EN (COA R S E)

TYGON I-----TUBING

)----- CLA M P

INNER POLYETHYL E N E

S C R E E N (093 0 m m MESH)

RoH----- PVC BODY AND END CAPS

-----OPT IONAL W E IGHT

F i gure 4 3 Weed excl uding device for water samp l e col l ection

[=J H A R V E S T I N G T R A N S E C T S 1 1 E X P E R I M E N T A L T R A N S E C T S A PP R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

middotmiddot 1 I middot D r nnn I 2 - I UUU I

1 I-

I I I I I I sect

gt- 1 0 I- 0 ZI UJ l UJ degl aJ o 0 en I UJ 0 Cl UJ laquo UJ -J I (I 0

-

N O R T H L A K E S H O A L

Fig ure 4 4 Bas e l ine sam p l ing S tation locations Aug u s t 18 1987

H A RV E S T IN G T R A N S E C T S

Im1 E X P E R I M E N T A L T R A N S E C T S

A P PR O X I M A T E W E E D L I N E

J 1

t middot I I I I f I 1 )shyI I-I

)- 1 0 I- U zl LaJ J LaJ degl aJ U 0 ClJI J LaJ U c lIJ ct lIJ

-I I 0 () O

LAKE OKEECHOBEE

u middot

N O R T H L A K E

S H O A L

( t _ _ -J--=--=r= _ _ _ C_OJlt bull bull t== a _ 1 _ ___ - _

_ If-_r-=-

-

F i gu re 4 5 Immed i ate i mpacts s amp l i ng S ta ti o n l ocati on s September 1 7 22 1 987

U C I bull

UC2 bull

U C 3 bull

Fi gu re 4 6 Fi e l d demons tra ti o n samp l i ng Sta t i on l oc a t i ons Oc tober 2 8 29 1987

Di sso lved Oxyg e n 1 4--------------------------------------------------------

1 2

1 0

8 -

6 middot

2--------_----------_-------------------------- 1 2 3 4 5 6

Ro u n d

-e- C 1 - S u rface o C 1 - Bottom

bull UC 1 -Su rface UC 1 -Bottom

F i g u re 4 7 Fiel d demons trati on samp l i ng Di ssol ved oxygen a t ha rvested (C) a nd unha rvested ( UC ) sta ti ons over a 24 hr peri od Uni ts are rug l

C on d u ctivity 6 bull CJ - S u rfa ce

B CJ-Bottom

bull UCJ-Surface

55 lIP U C3 -8ottom

5

45 -

4 --

35

3-----------1r----------r-------------------------

1 2 4 5 6

R o u n d F i gure 4 8 F i e l d demons tra ti on samp l i ng Conduc t i v i ty a t harve s ted ( C ) a nd u nha rves ted ( UC ) s ta t i on s over

a 24 hour peri od Un i ts a re mmho scm

2 6 Tem p e ratu re

C3- Surface

B C 5 -Bottom

-- UC3-Surlace

25 UC3- Bottom

2 4

w-------- 23

2 2

2 1

20+-----------------------------------------------

1 2 5 4 5 6

Rou n d F i gure 4 9 F i e l d demonstra t i o n sampl i ng Tempe ra tu re a t ha rves ted ( C ) a nd unha rvested ( UC) s t a t i o n s

over a 24 hou r per i od Uni t s a re degrees C

O R P 350 bull C2-Surfoce

D C2- BoUom

bullbull bull UC2-Surfo ce

bull U C2 - BoUom

300 -

250

2 00

1 50+-------T------------------------------------- 1 2 3 4 5 6

R o u n d F i g u re 4 1 0 F i e l d demo n s t ra t i on samp l i ng Oxi da t i o n re duc ti o n potenti a l a t ha rve s t ed ( C ) a n d u n h a rve s ted ( UC )

sta t i o ns over a 24 hou r peri o d Uni ts a re mv

pH 9----------------------------------------------------------

8 5

e

7 5 -

7

6 5 -

------II------bull -

-----

6-------------------------------------------------- 1 2 3 4 5 6

R o u n d

bull C 2 - Su rioce

D C 2 Bottom

- U C 2 - S u rfa ce

UC2- Bottom

Fi gure 4 1 1 F i e l d demo ns t ra t i on samp l i ng pH a t harves ted ( C ) a nd unha rve s ted ( UC ) sta t i o n s over a 24 hou r per i o d Un i ts are s ta nda rd u n i t s

A

8

x c cu

cu

E tU shy

tU a

x c cu

cu

E tU shy

tU a

- 9 5 96 e J

- 95 96 CJ

bull Unharvested (control) station

x Harvested (experimenta I) station

bull Control station adjacent to harvested station

F i g u re 4 12 Hyp o t he t i ca l da ta i l l u s tra t t ng s od i um dependence of pa rameter X a n d p o s s i b l e e r ro r s i f u s i ng mea n s tes ti ng a l one fo r i mp a c t

d e termi na t i o n

F i g u re 4 1 3 D i s t r i bu ti on o f s od i um concen tra ti o n s Ja n 1 3 1988 Un i t s a re mg l

40

20

2 5

Fi gure 4 1 4 Sum of sodi um and chl ori de co ncentrati ons Sep 30 198 7 Un i ts are mi l l i shyequi va l ents l i ter

40

F i gu re 4 1 5 Di s tri bu t i on of sod i um c h l or i d e ra t i o s Sep t 30 1987

095

095

3

bull 1 2

0 x 9 x 8 IC) E 2 -J laquoI bull I I Z

x 7 bull 1 0

2 Experimental Control

F i g u re 4 1 6 Sta t i on mea ns of middot so d i um c o ncentra t i o n s for e x pe r i me n t a l ( ha rv e s ted ) a nd control ( u n ha rve sted) s ta t i o n s J a nuary 1 3 1988

Q en E

024

020

0 1 6

J a O 1 2 I

o a

008

004

000

bull control I harvested

bull bull

bull bull

------------------r---------------1 5 25 3 5 4 5 5 5 6 5 75

Na (mg()

F i g u re 4 1 1 Regre s s i on of sod i um vs o rthophospha te for con t ro l stati ons September 3 0 1 987

o 0) E

02 4

020

0 1 6

a 0 1 2 I v

o a

008

004

bull control l( harvested

ooo------------------------------------ 1 5 25 3 5 45 5 5 65 75

Na (mg l)

Figure 4 1 8 Reg res s i on of sod i um vs o rthophosphate for contro l s ta t i ons Janua ry 1 3 1988

Q -

0)

E

024

020

0 f 6

-

CL 0 1 2 I q

o a

008

004

bull control )I harvested

bull

bull bull

bull bull

000+---------1r------1 5 25 35 4 5 5 5 6 5 75

Na (mgI)

F i gure 4 1 9 Re gre s s i o n o f sodi um v s ort hophospha te for control s tati o ns with ha rvested s ta t i on data supe r i mpo sed Septembe r 30 1 987

V PHYTOPLANKTON I PRIMARY PRODUCTIV ITY STUDIES

V A INTRODUCTION

The experimenta l des i g n of th i s port i on of the i nvesti gati ons u t i l i zes

three pa i rs of stati ons to compare popu l at i ons and product i v i ty i n the

heavy vegetated versus harvesteq areas Thi s des i gn was sel ected to

i denti fy both the di fferences between harvested and vegetated areas as

we l l as responses to grad i ents ( rel ati ng to vegetati on andor water

qual i ty ) that may ex i s t a l ong the approx i mate two mi l e path of the

transect Under und i sturbed cond i ti ons d i sti nct d i fference between

heav i ly vegetated areas and open water mi ght be expected wi th regards to

both pri mary producti on and spec i es compos i ti on Such patterns cou l d be

expected to resu l t from the combi ned i nfl uences of reducted 1 i g h t a nd

i ncreased habi tat for peri phyton i n areas heav i ly vegetated by emergent and

submergent vegetati on

The sel ected sampl i ng strategy for assess i ng

phytopl ankton communi ti es empl oys a two-fol d approach

i nfl uences on

Three sets of

i ni ti a l sampl i ngs were made a t approxi mately one wee k i nterva l s i n

September 1987 ( the 17th 22nd a nd 30th ) i mmedi ately fo l l owi ng harves t i ng

of the transect to assess s hort-term affects These are to be fo l l owed and

compl emented by three seasona l l y based sampl i ng peri ods The seasonal

sampl i ng t imes were se l ected to correl ate wi th the peri ods of l ow

temperatu re and l i ght (January - 13th ) the nonna l Spri ng phytopl ankton

i ncrease (Apri l ) and h i gh l i ght a nd temperature (June ) These three

sampl i ng t imes wi l l prov i de the seasona l ly i mportant po i nts i n the a nnua l

cycl e of producti v i ty

5 - 1

The fol l owi ng observed qual i tat ive di fferences i n vegetati on patterns

between s tati ons and sampl i ng dates shou l d be noted when eva l uati ng

measured quant i tati ve d i fferences

1 ) l arge amounts of part i c u l ate matter ( probab ly resu l ti ng from the harvesti ng wh i ch was occurri ng in immedi ately adj acent areas ) was present i n the water col umn on September 17th and 22nd and to a somewhat l es ser degree on September 30th

2 ) regrowth of the harvested transect was a l ready apparent by September 30th Thi s comb i ned wi th the the norma l w i nter d ie-bac k of vegetati on i n the untreated control area s resu l ted i n l i ttl e apparent d i fference i n aquatic weeds between harves ted and non-harvested areas by January 13th

3 ) when station 7 was acc i dently harvested a second t ime s tat i on 7 5 was added i n a comparabl e l ocati on a l ong the treatment transect wh i ch had only been harvested once

Analysi s of popu l at i on s tructure based on i dent i fi cati on to the genus

( or l ower) l eve l are bei ng conducted i n conjuct i on wi th primary

producti v i ty measurements Di fferences i n phytop l ankton communi t i es

between vegetated and harvested areas were expected due to d i ffering

hab i tat Major changes were a l so ant i c i pated between the seasona l sampl i ng

peri ods as changi ng l i ght temperature and nutrient l evel s mi ght be

expected to affect both the structural re l at i ons h i ps ( d i atomgreenbl ue

green ) as wel l as the producti v i ty of the phytopl ankton popu l at i ons

I n order to quan t i fy t he wi th i n stati on vari abi l i ty of water qual i ty

chem i stry sampl es were col l ected i n tri pl i cate a t each samp l e s i te

V B METHOOS

B 1 Si tu Profi l es of Phys ical Parameters

Depth temperatu re d i s sol ved oxygen conduct i v i ty a nd pH were

measured i n s i tu wi th a Hydro l abtrade

Model 8000 sys tem or Surveyor Model

I I system Profi l es were made from the surface to the bottom i n O Sm

5 - 2

i ncrements at each sampl i ng s tati on l ocat ion Depth measurements were

determi ned on the bas i s of pre-measured marks on the u n i t s cabl e

Pre-sampl i ng i nstrument cal i brati ons were conducted wi th i n 24

hours pri or to use Temperature was measured wi th a l i near res i stance

thermi s tor factory ca l i brated and accurate to wi th i n plusmn0 2degC

Di s sol ved oxygen ( D O ) was measured wi th a temperature-compensated

pas s i ve pol arogra ph i c cel l whi ch meas ures the parti a l pressure of

oxygen as parts per m i l l i on ( ppm or mg l ) of oxygen plusmn0 2 ppm The

probe were cal i brated u s i ng the oxygen ten s i on of water-saturated a i r

( temperature corrected ) a s a standard

The conduct i v i ty probes are s i x e l ectrode cel l s and were

cal i brated aga i nst a KC l sol ut ion of known conducti v i ty Probe

response i s then tested w i th a sol ut ion of known l ow conducti v i ty to

ensure that the read i ng i s plusmn1 0 of the range sel ected The probes

are automati ca l ly temperature compensated to prov i de conducti v i ty at

25 degC

The Hydrol abtrade

pH probes a re g l as s KCl fi l l ed wi th s i l ver s i l ver

chl ori de reference e l ectrodes and refi l l abl e juncti ons They are

automati cal ly temperature compensated Two buffer cal i brat i on

procedures elllp l oyed s tandard commerc i al buffer sol ut i ons of 7 0 and

10 0 pH un i ts to wi thi n plusmn 0 1 the cal i l brati on accuracy of the probe

Ox i dati on-reducti on potenti al (ORP ) was measured u s i ng a

pl ati num-ti pped g l ass ORP probe and standard pHORP s i l ver s i l ver

chl ori de reference probe Convers i on of these ORP val ues to those of

a standard hydrogen el ectrode can be approx i mated by add i ng 200 mV to

the resu l ts from the s i l ve r s i l ver chl ori de e l ectrode

5 -3

B 2 Light Profi l es

L i ght i ntens i ty profi l es were conducted at each s tati on u s i ng a

LI -COR ( Model L I - 185B ) quantumrad i ometer photometer equ i pped wi th a n

underwater L I - 1925B quantum sensor to measure photosynthet ica l l y

act i ve rad i at ion L i ght i ntens i ti es (m icroei nstei nsm2

sec ) were

measured i n the a i r j u s t above the water surface aga i n just bel ow the

surface and at s i x sel ected depths ( 20 40 50 60 80 and 100 cm )

B 3 Primary Producti v i ty Incubati ons

F ive subsurface water samp l es were col l ected i n the area of each

stat i on l ocat i on These were randomly col l ected to account for

phytopl ankton patc h i ness The subsurface sampl es were pl aced i n f ive

repl i cate l i ght ll and two ( bl ac k pl ast i c d i pped ) II darkll ac i d-ri nsed

450 ml g l ass i ncuba t i on bottl es Each bott l e was then i nnocu l ated

wi th 10 mi crocuri es of trace meta l -free 14C ( to obta i n counts of

approx i matel y ten thousand counts per mi nute or CPM depend i ng on

phytop l an kton l evel s ) and then qu i ck ly repl aced to be i ncuba ted i n

s i tu at a depth of 0 2 meters for two hours ( see Fi gure 5 1 ) Al l

i ncuba t i on s were conducted wi th i n two hou rs of apparent noon to

standard i ze for known patterns of d i urnal peri odi c i ty i n phytopl ankton

product ion Cumu l at i ve l i ght l evel s duri ng the i ncuba t i on peri ods

were recorded us i ng a LI -COR i ntegrati ng quantum photometer After

i ncubati on al l s ampl es were pl aced i n the dark i n cool i ce ches ts and

qu i c k ly returned to a n on-s i te l aboratory fac i l i ty and prepared for

sci nt i l l a ti on count i ng

5 -4

FIGURE 5 1

u

If srru IfCUBATION RACKS

8 4 Pri mary Product i v i ty - 14C uptake

The fol l owi ng procedures were underta ken to determi ne the overa l l

rates of 14C f i xa t i on as wel l as those proport i ons attri butabl e to

the pi co- ( 1 ess than 5 mi cron ) nanno- ( 1 ess than 20 mi cron ) and

net-pl ankton ( g reater than 20 mi cron ) as wel l as the rel ati ons h i ps

between 14C uptake b i omass estimates and l i ght quanta Three

separate subsampl es were taken from each of the l i ght samp l e bott l e s

and processed as fol l ows

1 ) 50 ml i s fi l tered through a 2 4 cm Whatman GFC g l ass fi ber fi l ter us i ng l ow vacuum ( l ess than 2 PSI ) The wet fi ber fi l ter i s then pl aced i n a sc i nt i l l ati on v i a l and frozen unti l ready for ana lys i s To beg i n analys i s 0 5 ml of 0 1 NHC l i s added to each v i a l and a l l owed

5 -5

to stand for 3 hours before the add i t i on of 10 0 ml of s c i nti l l at i on fl uor 2 ) A second su bsampl e i s prepared i n the same manner as the fi rs t except pri or to fi l teri ng the 50 ml subsampl e i s passed throug h a 20 mi cron N i tex screen 3 ) The th i rd subsamp l e i s prepared i n a l i kewi se manner but passed throug h a 5 m i cron N i tex screen pri or to fi l teri ng Dark bottl es are fi l tered on ly as i n the fi rst exampl e Three corres pondi ng fl l ter bl anks for each s tati on are prepared by addi ng ten mi c rocur ies to a 450 ml i ce stored water sampl e ta ken at the same stat ion and then i mmedi atel y tak i ng three 50 ml subsampl es These are fi l tered as i n ( 1 ) above 4 ) After the add i t ion of the sc i nt i l l at i on fl uor the v i al s are a l lowed to dark adapt for at l east 24 hours before bei ng counted 5 ) Pri or to runni ng each set of sampl es background and known 1 4C standards are ru n to check and val i date the performance of the l aboratory s Pac4rd l i qu i d sc i nt i l l at ion system Veri fi cati on of the acti vi ty of the C i nnocu l a t i on sol ution is a l so made 6 ) Each sampl e i s cou nted for 30 mi nutes or unti l the CPM i n spectral reg i on A have a standard dev i at i on of l ess than 0 2 Counts per m i nute are then converted to d i s i ntegrati ons per mi nute us i ng the fi l ter s tandardi zat i on channel s rat io method

8 5 Ch l orophyl l a

Chlorophy l l a measurements have been wi dely used to est imate

phytopl a nkton b iomass For the purpose of these i nvesti gati ons

chl orophyl l l evel s of the 1 ) greater than 20 micron 2 ) l ess tha n

20 mi c ron and 3 ) l ess than S micron s i ze fracti ons were determi ned

on sampl es col l ected s imu l taneou s l y wi th those for pri mary

producti v i ty i ncubat ions Th i s procedure prov i ded comparabl e

estimates of both the b i omass and producti v i ty rates of each of the

three s i ze fract i on s

8 6 Wa ter Chem i stry

Surface water sampl es were co l l ected for analys i s at each of the

phytop l ankton primary product i v i ty stati ons Water i s col l ected i n

pre-l abel ed one l i ter po lyethyl ene conta i ners Chl orophyl l samp l es

5 -6

conta i ne rs were fi rst ri nsed and then qu i ck ly resubmerged bel ow the

s urface w i th the mouth fac i ng upcurrent Bacteri a sampl es were

col l ected i n pre-autocl aved 250 ml polyethyl ene contai ne rs a s above

except that samp l e conta i ne rs were not pre-r i nsed Al l sampl es were

stored on i ce and i n the dark and returned to the l aboratory fol l ow i ng

s tandard c ha i n of custody and qual i ty assurance procedures

Chl orophyl l was determi ned both uncorrected and corrected for

pheophyt i n u s i ng a Turner fl orometer Total col i form bacteri a were

determi ned u si ng the fi l ter membrane method ( APHA 909 b c ) Resul ts

were reported as l es s than a g i ven val ue based on d i l ut i ons when

actual f i l ter counts were zero

B 7 Popu l a t i on Structure

Sampl e s for determi nat i on of phytopl ankton communi ty structure were

col l ected i n conj uncti on wi th those taken for primary producti v i ty

measurements One l i te r polyethyl ene sampl e contai ners were

i mmedi atel y fi xed w i th 4 1111 of Lugol s sol ut ion Lugol s genera l ly

be i ng prefe rabl e for the p reservati on of sampl es wh i c h may i nc l ude

fl agel l ates The sampl es were p l aced on i ce i n the dark for

transportati on back to the l aboratory where they are he l d at 4degC

unti l prepared for counti n g I n i ti al l y a thorough i nventory and

taxonomi c analys i s of pos s i b l e taxa whi ch mi ght be expected to be

present was compl eted (Append i x C ) When a thoroug h taxonom i c basi s

has been assembl ed sampl es were prepared for observati on us i ng a

Ze i ss i nverted mi c roscope and a comb i nati on of s tandard centri fugation

a nd settl i ng procedures as fol l ows

5 -7

1 Sampl es are removed from the refri gera tor and gently shaken to assure resuspens i on of a l l materi al 2 Randomly sel ected subsampl es tota l i ng 50-100 ml ( dependi ng on the concentrat ion of the materi a l i n the sampl es ) are wi thdrawn and pl aced i n a 50 ml con i ca l g l as s centri fuge tubes 3 The tubes a re spun at a pprox imatel y 50 x g for 45 mi nutes Three to four drops of i od i ne so l uti on i s added at the top of the tubes whi ch w i l l then be a l l owed to s tand for at l east 24 hrs 4 ) At the end of the fi rs t settl i ng peri od the sett l ed materi a l i n the bottom 2 5 ml and a ny cel l s adheri ng to the surface ten s i on of each centri fuge tube i s drawn off a nd p l aced i n a 10 ml Ze i ss i nverted mi croscope settl i ng chamber 5 Two drops o f i od i ne sol u t i on wi l l be added to promote settl i ng and the compos i te sampl es i s aga i n be a l l owed to stand und i s turbed for another 24 hrs 6 Taxonomi c determi nati ons to the l owest pract ica l taxonom i c l evel were conducted from random fi el ds u s i ng a Zei ss i nverted mi croscope and a mod i fi ed s tri p method to ensure that counts i ncl uded representati ve areas of the counti ng chamber To determi ne commun i ty s tructu re at l east 500 cel l s are i denti f ied primari ly u s i ng 500x and 1000x objecti ves a nd 16x wi de fi el d ocul ars 7 After hav i ng recorded the taxonomi c determi nati ons of 500 cel l s add i t i ona l notes on each sampl e are comp i l ed us i ng a combi nati on of l ow and h i gh power objecti ves 8 Determi nati on of the number of cel l s per un i t vol ume wa s conducted for the same samp l es by enumerati ng cel l dens i t i es of randomly sel ected fiel ds aga i n u s i ng a mod i fi ed s tri p method and mak i ng appropri a te d i l uti on cal cul ati ons

v c INTERIM RESULTS

A more thorough a nd comprehens i ve summary of the resu l ts of the

phytopl an kton stud i es i nc l u d i ng seasonal and between stati on compari sons

of carbon uptake rates wi l l be i nc l uded i n the fi nal report Such a fi nal

surnna ry ana lys i s wi l l a l s o i nc l ude a detenlli nati on of the i nteract i ons

between phys i cal factors ( such as l i ght temperature ) a nd ambient nutri ent

concentrati ons on observed seasonal l eve l s primary producti on and commun i ty

s tructure The fol l owi ng s ummari zes the resu l ts to date

C 1 Phys i cal Parameters - The resu l ts of the i n s i tu Hydrol ab and l i gh t

5 -8

cast profi l es by date and stat i on are conta i ned i n Append i x A The

reported resu l ts for the l i ght profi l e analyses i nc l ude

1 ) regress i on of the l og of observed l i ght l evel s vs depth a l ong wi th the resu l tant coeff i c i ents for the l i ne and R squared val ues

2 ) based on the ca lcu l ated regress i on l i ne expected vs observed va l ues are pl otted (The i nfl uences of aqua t i c weeds i n reduc i ng l i ght l evel s can c l early be seen by compari ng such p lots for control a nd havested s tati ons )

3 ) an ext i nct ion coeffi c i ent based on the regress i on l i ne i s cal cul ated a s i s a pred i cted one percent l i ght depth ( m)

4 ) pred i cted l i ght and percent of surface i rrad i at i on l evel s as se l ected representati ve depths are determi ned

An effect i ve method of eva l uati ng the l i ght penetrati on

characteri st i cs i s to compare the computed depth where only 1 of

surface l i ght rema i ns ( th i s va l ue i s often assumed to be the

approx i mate compensati on depth where phytopl a nkton photosynthes i s =

phytopl ankton respi rat i on )

One Percent L ight Depth (m)

Stati on Sept 17 Sept 22 Sept 30 Ja n 13

7 1 84 1 2 1 1 23 1 57

8 2 33 2 36 1 90 1 37

9 2 65 2 6 1 2 09 1 46

10 0 42 0 42 0 76 1 70

11 0 36 0 39 0 36 1 6 1

12 0 44 0 36 0 57 1 67

7 5 1 59

These resu l ts c l early show that duri ng each of the three sampl i ng

dates i n September water c l ari ty a l ong the ha rvested transect

5 -9

i ncreased waterward from s tati on 7 to 9 At the same time l i ght

l evel s of the profi l es taken at the weed covered control s tati ons

( 10 1 1 12 ) decl i ned rap i d ly Tabl e 5 1 s tati s ti ca l ly compares the one

percent l i ght depth between the harvested ( E ) for experimental and

the control ( C ) stati ons grouped by date On each of the three

September dates the mean depth of the one percent l i ght l evel was

s i gn i fi cantly g reater for the harvested transect I n January 1988

weed cover a t a l l stations was apprOX i mately the same and nei ther of

the two above patterns were observed wi th the depth of the one

percent l i ght l evel bei ng s l i ghtly but stat i sti ca l ly l ess a l ong the

harvested transec t

The fol l owi ng tab l e s umma ri zes observed top and bottom d i s sol ved

oxygen l evel s by sta t i on and date Du ri ng each of the September

sampl i ngs bottom d i s sol ved oxygen l evel s at the control stations were

much l ower than a l ong the harvested transect Top and bottom

d i ssol ved oxygen l evel s i n January show the i nfl uences of cool er water

temperatures and emphas i z e the even d i s tri but ion of aquat ic weeds over

the study area

5 - 1 0

Di ssol ved Oxygen Level s ppm ( topbottom)

Stati on Sept 1 7 Sept 22 Sept 30 Jan 1 3

7 8 0 6 7 5 2 9 1 3 9 4 2 2 7 7 2

8 6 4 5 5 5 6 9 8 3 9 4 8 5 5 7 3

9 7 6 6 4 5 5 9 5 6 4 6 0 5 4 7 8

10 8 1 6 5 6 0 8 8 0 2 1 9 0 1 7 4

1 1 1 1 0 4 9 9 0 8 8 1 6 2 0 5 3 7 4

12 6 9 6 2 7 9 8 6 1 7 2 5 2 2 8 5

7 5 9 2 6 9

These resul ts are stat i st i ca l l y summari zed i n Tabl e 5 2 Aga i n E middotI

val ues represent means for the harvested stati ons and C a re for the

correspond i ng control s

C 2 B i omass - Chl orophyl l resul ts of the 1 ) whol e sampl e ( A ) 2 ) l ess

than 20 mi crons i n s i ze ( B ) and 3 ) l ess than 5 mi crons ( C ) for the

tri pl i cate sampl es taken on each date at each stat i on are presented i n

Append i x B Val ues are reported both as uncorrected and corrected for

phaeophyti n However i t shou l d be noted that correcti ng for

phaeophyti n may be i naccurated us i ng the fl uorometri c method when

s i 9n1 fi cant numbers of green a l gae are present due to 1 nterference

wi th chl orophyl l pound Mean val ues for the whol e s i ze fra c t i ons

( uncorrected ) are s ummari zed in the fol l owi ng tab l e

5 -1 1

Chl orophyl l a (mgm3 )

Stat ion S ept 1 7 Sept 22 S ept 30 Jan 13

7 5 5 22 4 29 90 9 73

8 46 5 34 0 34 95 10 98

9 66 7 45 7 53 45 10 36

10 1 2 8 107 6 65 25 8 63

1 1 68 0 128 4 64 09 4 48

12 17 8 1 1 1 2 98 76 5 14

7 5 9 82

The o n l y defi n i ti ve pattern appears to be seasonal Stati sti ca l

compari sons between the experimental ( harves ted ) and control s tati ons

by date are presented i n Tabl e 5 3

C 3 Taxonomi c Ident i fi cati on - The work i ng l i s t wh i ch formed the bas i s

o f the taxonomi c determi nati ons i s presented i n Tabl e 5 4 The

resu l ts of the taxonomi c determi nati ons of phytopl ankton conmnun i ty

structure are conta ined i n Appendi x C The number o f cel l s i dent if i ed

are l i s ted by taxonomi c groups Co l on i al forms were counted as fi ve

or ten i nd i v i dua l s depend i ng on the s i ze of the col ony The rel at i ve

d i stri but i ons of the four major taxonomi c groups ( Green Al gae

Di atoms D i nofl agel l ates and Bl ue-Greens ) by date and sta t i on are

summari zed i n F i gure 5 2 The patterns are c l earl y evi dent

1 ) Bl ue-Green a l gae were domi nant at a l l stati ons duri ng each o f the three sampl i ng dates i n September

2 ) Th i s domi nance o f Bl ue-Green a l gae over the other major taxonomi c

5 - 1 2

groups showed a ma rked dec l i ne duri ng the January samp l i ng peri od 3 ) Wi th in samp l i ng dates there were no apparent systemat ic

d i fferences between the harvested and control stat i ons when they were summari zed on the bas i s of the compos i t i on of thei r major taxonomi c c l as s i fi cat i ons

C 4 Analys i s o f Communi ty Structure - Di vers i ty and s im i l ari ty

i nd i ces ( see Tab l e 5 5 for equa ti ons ) have been wi del y ut i l i zed i n

ana lyz i ng communi t i es structure Such i nd ices a l l ow l a rge amounts of

informati on rel evant to the ri chness and equ i tabi l i ty of s pecies

wi th i n a communi ty to be organi zed and reduced i nto a s i ng l e

quanti tat i ve expres s i o n Two properties s hou l d cha racteri z e a

d i vers i ty i nd i ce i n order to accompl i s h thi s accuratel y 1 ) the i ndex

shou l d atta i n i ts max imum val ue when al l s pec i es are equal l y

d i stri buted and 2 ) i f al l spec i es wi th i n two samp l es are equa l ly

di stri buted the va l ue of the i ndex shou l d be greater for the

popul ation wi th the l arger number of s pec i es A second va l ue termed

lIevennes s can be ca l cu l ated for a number of the most commonl y

app l i ed d i vers i ty i ndi ces Evenness i s the- rat i o of observed

di vers i ty to the max i mum di vers i ty for a sampl e of a gi ven s i ze and

number of taxa and as such i s often useful i n determi ni ng the

re l ati ve deg ree of domi nance between a group of samp l es The

Shannon-Wi ener i ndex ( P i el ou base e ) was proposed as a method of

determi ni ng the rel ati ve amou nt of i nformati on wi th i n a popul ati on as

an express i on of the uncerta i nty of pred i ct ing the i dent i ty of any

gi ven i nd i v i dua l sel ected at random On a theoret i ca l l evel th i s may

be v i ewed as oppos i te from the bas i s of the S i mpson i ndex wh ich can

be vi ewed as the probab i l i ty that any two i nd i v i dual s sel ected at

random from wi th i n a samp l e bel ong to the same taxon When compa red

5 - 1 3

to the Shannon i ndex S impson tends to accentuate the presence of

common taxa over rare and thus i s often usefu l as a rel at i ve measure

of domi nance w i th i n a cOlTlfluni ty The Mc I ntosh i nd i ces ut i l i ze a

un iquely d i fferent means of measuri ng d i vers i ty and evenness by

eva l uati ng commun i ty s tructure by coord i nate d i sta nces Conceptua l l y

they measure u n i formi ty wi th i n an S -d i me ns i onal hyperspace

Unfortunatel y no s i ng l e or even group of i nd i ces have atta i ned any

degree of un i versa l acceptance Therefore i t i s often d i fficul t or

impos s i bl e to correl ate d i rect ly stud ies of s im i l ar communi t ies

because of re l i a nce u pon d i fferent i nd i ces The i nd i ces reported here

were chosen both because of the varyi ng degree of emphas i s each pl aces

upon d i fferent a s pects of communi ty structu re and because of the i r

rel at i ve l y frequent usage

The b i o l og i ca l va l i d i ty

cri ti c i zed if a ttempts

of d i vers i ty

are made to

i nd i ces

extend

can readi ly be

the mathemat ica l

characteri st i c s a nd l aws of i nformati on theory conta i ned wi th i n such

i nd i ces to commu n i ty s tructure However if these mathematical

express i ons are v i ewed mere ly as conven i ent methods for condens i ng

compl ex data i nto s i mp l e descri ptive stati sti cs we i g ht i ng both the

number and d i s tri but i on of i nd i vi dua l s among taxa then the i r

appl i cat ion becomes i mportant

Append i x 0 conta i ns the resu l ts of the mathemat i ca l reduction of each

stati on by sampl i ng date The fol l owi ng summari zes the d i versi ty

( P iel ou base e ) and the numbser of observed taxa by date and stati on

5 -14

Sampl e Di vers i tyNumber of Taxa

Stati on Sept 17 Sept 22 Sept 30 Jan 13

7 2 46 2 88 2 45 2 98 33 36 32 42

8 2 52 2 84 2 28 3 38 37 38 30 48

9 2 39 2 05 2 33 2 08 32 24 29 30

10 2 42 2 44 2 75 3 22 36 26 35 44

1 1 2 48 2 38 2 39 2 93 32 27 28 38

12 2 44 2 69 2 22 2 60 34 33 25 34

7 5 2 88 4 1

Both the d i vers i ty and number of taxa at stati ons 7 8 10 and 1 1

i ncreased i n January rhe l ack of a s i mi l ar re sponse at stati ons 9

and 12 i n Janua ry may have been cau sed by the heavi er aquati c

vegetati on whi ch was present A stati stical compari son of the

di vers i ty of taxa be tween harves ted and url harves ted areas by date i s

presented i n Tabl e 5 6 The resul ts i ndi cated no si gnifi cant

d i fferences

C 4 Communi ty Simi l a ri ty - Fi gu re 5 7 contai ns for each sampl i ng date

an ordered matr i x of the s imi l ari ty i nd i ce C l ambda lh i s i ndex

a l so know as the Mori s i ta-Ono i ndex i s w i de ly used as a measurement

of s imi l ari ty wei ghti ng both the presence of spec i es and the rel ati ve

5 -1 5

abundance d i stri but i on of each spec i es between sampl es Th i s

s imi l ari ty i ndex i s conceptua l l y unamb i guous i n that anal ogous to a

probab i l i ty or corre l at i on coeffi c i ent i ts va l ues vary from 0 0 to

1 0 Zero representi ng tota l d i ss i mi l ari ty a nd one perfect i denti ty

Val ues from 0 0 to 0 4 are general l y ta ken to denote sampl es from

hi gh ly d i fferent commun i t i es wh i l e val ues from 0 4 to 0 6 resu l t from

compari ng the d i s tri buti on s of taxa from col l ecti ons of i ntennedi ate

l i kenes s and val u es of 0 6 to 1 0 characteri ze samp l es taken from

i ncreas i ng ly s i mi l ar or i dent i ca l communi ti es Unordered matri ces of

such a s i mi l ari ty measurement though useful may often be confus i ng

I n devel opi ng these tabl es the unordered matri ces were rearranged by

the fol l owi ng cri teri a The s i te wi th the l owes t affi n i ty ( val ues ) to

a l l the other s i tes was p l aced at the top of the Y ax i s Bel ow th i s

was pos i ti oned the s i te wi th the h i ghest affi n i ty to the fi rs t s i te

Ranked i n the th i rd pos i ti on was the s i te wi th the greatest s imi l ari ty

to the second s i te not a l ready l i sted Th i s procedure was fol l owed

unti l al l s i tes had been l i s ted i n a comparati ve ord i nat i on a l ong the

Y ax i s Each matri x was then compl eted by reversi ng the ranked order

of the s i tes a l ong the X axi s By th i s method each tabl e was

constructed i n such a ma nner that the affi ni ty val ues genera l l y

i ncrease both from top to bottom and from l eft t o ri ght Thi s resu l ts

i n the c l usteri ng of areas of h i g h s i mi l ari ty separated by areas of

l ow affi n i ty a l ong the d i agona l marg i n

rh i s ana l ys i s of p hytop l a nkton communi ty s tructure shows no c l ear

d i sti ncti ons between harves ted and unharvested stati ons I n genera l

the s i mi l ari ty among stati ons was hi gh on the September 30th samp l i ng

5 -16

date and much l ower on January 13th The other two sampl i ng dates

show i ntermedi ate l eve l s of affi n i ty between stati ons

C s Summary of Stati sti cal Analys i s - The fol l owi ng summari zes the

resu l ts of the procedi ng stati st i ca l analys i s for vari ous physi cal and

b i ol og i ca l parameters

DO Top Bot

1 Depth

Chl a

Di v

I

Stati sti ca l Compari son of Means for Control vs Harvested Transects

Sept 17 Sept 22 Sept 30 Jan 13

T -test Wi l coxon T -tes t Wi l coxon T-test Wi l coxon T- tes t Wi l coxon

NS NS NS NS 067 05 02 046 02 04 0 1 05 NS NS NS NS

001 049 01B 05 014 05 03B 0 5

N S N S 0007 05 0 5 05 033 05

NS NS NS NS NS NS NS NS

Di ssol ved oxygen l evel s were s i gn i fi cantly h i g her on the bottom

a l ong the harvested transect on the 17th and 22nd of September

Th i s was a s hort term effect cau sed by the harvest i ng of aquati c

vegetation a l ong the transect

2 Su rface di ssol ved oxygen was l ower a l ong the experimenta l transect

on September 30th ( due to product ion by the vegetat i on al ong the

control ) and hi gher i n January

3 ) The one percent l i ght depth was greater a l ong the harvested

transect except i n January Th i s ta ken wi th the January pattern

5 -17

i n d i sso l ved oxygen g i ve s some i nd i cati on that i n January there

was more aquat i c vegetat i on a l ong the harvested than the contro l

4 ) Chl orophyl l a was probably heav i ly i nfl uenced by smal l part i cu l ate

mater ia l i n the water caused by harvest i ng and peri phyton on

submerged vegetat i on Wi th i n s i te variabi l i ty was sma l l when

compared wi th the vari ati ons between s tati ons

V D FINAL REPORT-ANALYSES

The f i na l report wi l l i ncorporate the fi na l two sampl i ng dates i nto

the above vari ous types of ana l ys i s I n add i t i on

1 ) Rates o f pr imary production for a l l s ampl i ng dates wi l l be reported and compared

2 ) Rates of primary product i on wi l l be ana lyzed to determi ne the rel at ive i nfl uences of water qual i ty and physi cal parameters

3 ) Cl uster anal ys i s w i l l be ut i l i zed to further i nvest i gate patterns of taxonomi c assoc i at i ons

I t shou l d be noted however that g i ven the patterns of the f i rs t four

sampl i ng dates and the apparent regrowth of aquat ic vegetati on al ong the

harvested transect the on l y further d i fferences i n the phytopl an kton

port i on of the study s hou l d be s easonal No add i ti onal d i fferences between

the harvested and unharvested transects are expected

5 - 18

FIGURE 5 1

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 5 22666667 0 084083333

E C

3 2 2 7333333 3 0 40666667 F Value

62 16 1 Prob gt F

0 0014

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Con t i nui ty Correction of 5 )

S- 15 0000 z- 1 74574

T-Test approx Signi ficance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vall i s Tes t (Chi -Square Approximation) CBISO- 3 8571 DF- 1 Prob gt CBISOa 0 0495

Mean Score

5 0 2 0

rIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BENEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 4 18335000 0 279200000

E C

3 2 06000000 3 0 39000000 F Value

14 983 Prob gt F

0 0 180

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Test (Normal Approximation) (wi th Continui ty Correct ion of 5 )

S- 15 0000 z- 1 74574

T-Tes t approx Signi ficance -

Prob ) I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Ch i - Square Approximat ion ) CBISQ 3 857 1 DF- 1 Prob gt CBISQ= 0 0495

Hean Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analys is of Variance

N Hean Among HS Vi thin HS 2 0768 1667 0 1 22066667

E C

3 1 bull 74000000 3 0 56333333 F Value

1 7 014 Prob gt F

0 0 146

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 128785 6 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continui ty Correction of 5 )

S - 1 5 0000 z- 1 74574

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Chi - Square Approximat ion) CHISOz 3 857 1 OF- 1 Prob gt CHI SO- 0 0495

He an Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BEMEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

N Mean Among HS Vi thin HS

E C

0 056066667 0 006066667 3 1 46666667 3 1 bull 66000000 F Value

9 242

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Expected Std Dev Scores Under HO Under HO

6 0 10 5000000 2 29128785 15 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Test (Normal Approximat ion ) ( wi th Continui ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

Prob gt F 0 0384

Hean Score

2 0 5 0

T-Test approx Signi ficance bull

Prob gt I z l middot 0 0809

0 1413

Kruskal-Vallis Test (Chi -Square Approximat ion ) CHISO 3 857 1 DF 1 Prob gt CBISO- 0 0495

FIGURE 5 2

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SBPTBKBBR 1987

Analysi s of Variance

SURFACE

N Mean Among HS Vi thin HS 2 66666667 2 56833333

E 3 7 33333333 C 3 8 66666667 F Value Prob gt F

1 038 0 3658

BOTTOH

N Mean Among HS Vi thin HS 1 9 08 16667 1 39333333

B 3 4 73333333 C 3 1 16666667 P Value Prob gt P

1 3 695 0 0208 Average Scores were used for Ties

FIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Vilcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

Hean Score

E 3 8 0 1 0 5000000 2 29128785 2 66666667 C 3 1 3 0 1 0 5000000 2 29128785 4 33333333

E C

Vilcoxon 2 -Sample Tes t (Normal Approximat ion ) (wi th Con t inu i ty Correct ion o f 5 )

S- 8 00000 z- - 872872

T-Tes t approx S igni ficance -

Prob ) I Z I - 0 3827

0 4227

Rruskal-Vallis Tes t (Chi-Square Approxima tion ) CBISO- 1 1 905 DF- 1 Prob ) CBISOz 0 2752

BonOH

SUII of Expected Std Dev N Scores Under BO Under BO

3 15 0 10 5000000 2 2583 1 796 3 6 0 10 5000000 2 2583 1 796

Average Scores were used for Ties

Vi lcoxon 2 - Sample Tes t (Normal Approximation ) (wi th Con t inui ty Correct ion o f 5 )

So 15 0000 Z- 1 77123

T-Tes t approx Signifi cance -

Prob ) I Z I - 0 0765

0 1 367

Kruskal-Vallis Tes t (Chi - Square Approximation) CBISO= 3 9706 DP- 1 Prob ) CBISO= 0 0463

He an Score

5 0 2 0

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVBEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Mean Among KS Vl tbln KS 0 1 66666667 0 556666667

E 3 6 20000000 C 3 5 86666667 F Value Prob gt F

0 299 0 6 1 34

BOTTOK

N Kean Among KS Vl tbln KS 1 5 3600000 0 755000000

E 3 5 00000000 C 3 1 80000000 F Value Prob gt F

20 344 0 0107

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

E 3 1 2 0 1 0 5000000 2 2 9 1 28785 C 3 9 0 10 5000000 2 29 1 28785

Vi lcoxon 2- Sample Tes t (Normal Approximation ) (vi th Continui ty Correction o f 5)

S- 1 2 0000 z- 0 436436

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 6625

0 6807

Kruskal -Vallis Tes t (Chi -Square Approximation) CHISO- 0 42857 OF- 1 Prob gt CBISa- 0 5 127

E C

N

3 3

Sum of Scores

BOTTOH

Expec ted Under BO

S td Dev Under BO

15 0 10 5000000 2 29128785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (vi th Cont inui ty Correc t ion of 5 )

S- 1 5 0000 Z- 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t ( Chi-Square Approxima tion ) CHI SO- 3 857 1 OF- 1 Prob gt CBISO= 0 0495

Mean Score

4 0 3 0

Hean Score

5 0 2 0

PIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 7 26000000 1 17333333

E 3 5 43333333 C 3 7 63333333 F Value Prob gt F

6 187 0 0677

BOTTOM

N Mean Among MS Vi thin KS 6 00000000 4 68333333

E 3 4 53333333 C 3 2 53333333 F Value Prob gt F

1 281 0 3209

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

llilcoxon Scores (Rank Sums )

SURFACE

Sum o f Bxpected Std Dev N Scores Under BO Under BO

E 3 6 0 1 0 5000000 2 29 1 28 785 C 3 1 5 0 1 0 5000000 2 29 128785

ll i lcoxon 2-Sample Tes t ( Normal Approximat ion ) (wi th Cont inuity Correct i on of 5 )

S - 6 00000 zmiddot - 1 74574

T-Test approx Significance bull

Prob gt I Z I middot 0 0809

0 14 13

Kruskal-llallis Tes t (Chi-Square Approximat ion) CBISO- 3 857 1 DF- 1 Prob gt CHISO= 0 0495

N

BOTlOM

Sum o f Expec ted Scores bull Under BO

Std Dev Under BO

Mean Score

2 0 5 0

Mean Score

B C

3 3

14 0 10 5000000 2 29128785 4 66666667 7 0 10 5000000 2 29128785 2 33333333

llilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continuity Correct i on of 5 )

S- 1 4 0000 Zmiddot 1 3093 1

T-Tes t approx Significance bull

Prob gt I Z I - 0 1 904

0 2474

Kruskal-llallis Tes t ( Chi-Square Approximat ion) CBISO= 2 3333 DF= 1 Prob gt CHISO= 0 1 266

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

E C

E C

Analys is of Variance

SURFACE

N Hean Among HS Vi thin HS 0 806666667 0 068333333

3 9 46666667 3 8 73333333 F Value

N

3 3

1 1 805 Average Scores were used for Ties

BOTlOH

Hean Among HS 0 166666667

7 43333333 7 76666667 F Value

0 658 Average Scores were used for Ties

Prob gt F 0 0264

Vi thin HS 0 253333333

Prob gt F 0 4628

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIHENTAL SITES ON 1 3 JANUARY 1 988

N

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Hean Score

E 3 15 0 10 5000000 2 258 3 1 796 5 0 2 0 C 3 6 0 10 5000000 2 258 3 1 796

E C

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approximation ) ( wi th Continui ty Correction o f 5 )

Smiddot 1 5 0000 zmiddot 1 77 1 23

T-Tes t approx Signi fi cance -

Prob gt I Z I middot 0 0765

0 1367

Kruskal -Vallis Tes t (Chi -Square Approximation) CBISO- 3 9706 DF- 1 Prob gt CBISO= 0 0463

N

BOTrOH

Sum of Scores

Expected Under BO

Std Dev Under BO

Hean Score

3 3

8 0 10 5000000 2 2583 1 796 2 66666667 1 3 0 10 5000000 2 2583 1 796 4 33333333

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approxima t ion ) ( wi th Continui ty Correct ion o f 5 )

S- 8 00000 Z- - 8856 15

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 3758

0 4 164

Kruskal -Vallis Tes t (Chi-Square Approximation ) CBISO- 1 2255 DF= 1 Prob gt CBISO= 0 2683

fiGURE 5 3

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Ii C

E C

N

3 3

N

3 3

Analysis of Variance

SURFACE

Mean Among MS 67 5808907

39 5866667 32 8744444 F Value

0 07 1

Vilcoxon Scores (Rank Sums )

Sum o f Scores

Expec ted Under BO

S td Dev Under BO

Vi thin MS 952 908207

Prob gt F 0 8032

Mean Score

1 0 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 1 0 5000000 2 29 1 28785 3 66666667

Vilcoxon 2 -Sampie Tes t (Normal Approximation ) (wi th Con tinu i ty Correc t i on o f 5 )

Smiddot 1 0 0000 zmiddot o

T-Test approx Signi f i cance bull

Prob gt I Z I middot 0 9999

0 9999

Kruskal-Vallis Tes t ( Chi-Square Approximation ) CBISO- 0 04762 DF- 1 Prob gt CBISO- 0 8273

FIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEBN THE CONTROL AND BXPERIMENTAL SITES ON 22 SEPTBMBER 1 987

Analysi s of Variance

SURFACE

N Mean Among MS Vi thin MS 10416 6667 1 13 777778

B C

3 33 666667 3 1 1 7 000000 F Value

9 1 553 Prob gt F

0 0007

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Bxpected Under 00

Std Dev Under 00

6 0 10 5000000 2 29128785 1 5 0 10 5000000 2 29 128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inu i ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I 0 0809

0 1413

Kruskal-Vallis Tes t (Chi-Square Approximat ion ) COlSQ- 3 8571 DF- 1 Prob gt CHlSQ= 0 0495

Mean Score

2 0 5 0

FIGURE 5 3 ( cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Hean Among HS Vi thin HS 2009 2 1 800 270 667459

E 3 39 4322222 C 3 76 03 1 1 1 1 1 F Value Prob gt F

E C

N

3 3

7 423

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

6 0 10 5000000 2 29 1 28785 15 0 10 5000000 2 29 1 28785

Vilcoxon 2 -Sample Test (Normal Approximat ion) (wi th Con t inui ty Correc tion of 5 )

S- 6 00000 z- - 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vallis Tes t (Chi -Square Approxima t ion)

0 0527

Mean Score

2 0 5 0

CBISO- 3 857 1 OF- 1 Prob gt COISO- 0 0495

PIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LBVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

SURFACE

N Mean Among HS ii thin HS 27 4205630 2 68287963

E C

3 1 0 3588889 3 6 0833333 F Value

10 22 1 Prob gt F

0 0330

E C

N

3 3

ii lcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

ii lcoxon 2 -Sample Tes t (Normal Approximat ion) (vi th Cont i nui ty Correc tion of 5)

S- 1 5 0000 zmiddot 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I - 0 0809

0 1413

Iruskal-iallis Tes t (Chi -Square Approximation) CBISOa 3 857 1 DFa 1 Prob gt CHrSO- 0 0495

Hean Score

5 0 2 0

TABLE 54 VORKING LIST

LAKE OKEECHOBEE PHYTOPLANKTON

Chlorophyta (Green Algae )

I II

001 0 1 001 02 002 0 1 003 0 1 003 02 004 0 1 005 0 1 005 02 006 0 1 007 0 1 008 0 1 009 0 1 0 1 0 0 1 0 1 1 0 1 0 1 2 0 1 0 1 2 02 012 03 012 04 0 1 2 05 012 06 0 1 3 0 1 0 1 3 02 014 0 1 0 1 4 02 015 0 1 0 1 5 02 016 0 1 0 1 6 02 017 0 1 0 1 8 0 1 0 1 9 0 1 020 0 1 02 1 0 1 022 0 1 023 0 1 024 0 1 024 02 024 03 025 01 025 02 026 0 1 027 0 1 028 0 1 029 0 1 030 0 1

Ankis trodesmus falcatus Ankis trodesmus spiralis Ar throdesmus sp As terococcus spinulosus As terococcus sp Carteria cordi formis Chlamydomonas polypyrenoideum Chlamydomonas sp Chlorella sp Chlorococcum s p Chlorogonium sp Chodatella (Lagerhemia) subsalsa Clos teridium lunula Clos teriopsis longissima Clos terium curvaceum Closterium graci le Clos terium kutzingi i f sigmoides Clos terium setaceum Clos terium venus Clos terium s p Coelastrum cambricum Coelastrum microporum Cosmarium circulare Cosmarium s p Crucigenia apiculata Crucigenia quadrata Dictyosphaerium ehrenbergianum Dictyosphaerium pulchellum Elakatothrix gelat inosa Euas trum s p Eudorina elegans Geminella interrupta Golenkinia radiata Gonium pectorale Beteromas t ix angulata Kirchneriella contor ta Kirchneriella obesa Kirchneriella sp bull bull Lagerhemia citri formis Lagerhemia subsalsa Lepocinclis s p Hougeot ia s p Oocystis sp Ourococcus bicaudatus Pandorina morum

031 0 1 031 02 03 1 03 03 1 04 03 1 05 03 1 06 03 1 07 032 0 1 033 0 1 034 0 1 035 0 1 036 0 1 037 0 1 038 0 1 039 0 1 039 02 039 03 039 04 039 05 039 06 039 07 039 08 040 0 1 04 1 0 1 042 0 1 042 02 042 03 042 04 043 0 1 043 02 043 03 043 04 043 05 043 06 043 07 044 0 1 045 0 1 046 0 1 047 01 048 0 1 049 0 1 050 0 1 051 0 1 052 0 1 053 0 1 054 0 1 055 0 1 056 0 1

Pedias trum biradiatum Pedias trum boryanum Pediastrum duplex v grac ilimum Pedias trum duplex v ret i culatum Pedias trum simplex Pedias trum s implex v duodenarium Pedias trum tetras Pedinomonas minor Phacotus lent icularis Platydoriana caudata Polyedriopsis spinulosa Pseudotetraedron neglec tum P teromonas aculeata Quadrigula clos teroides Scenedesmus abundans Scenedesmus acuminatus Scenedesmus arcuatus v platydisca Scenedesmus bij uga Scenedesmus denticulatus Scenedesmus d imorphus Scenedesmus opoliens is Scenedesmus quadricauda Schroderia setigera Spermatozops is exultans S taurastrum cuspidatum S taurastrum limne t icum Stauras trum s p 1 1 Stauras trum sp 12 Tetraedron cauda tum Tetraedron gracile Tetraedron limne t i cum Te traedron lobulatum Tetraedron minimum Tetraedron mut icum Tetraedron trigonum Tetras trum s taurogeniaeforme Treubaria crassispina Volvulina s tein i i Ves tella bo tryoides Unknown 1 1 (unicellular green ) Spyrogyra sp Tetmemoris sp Oedogonium s p Unknown Unknown Unknown Unknown Unknown

Chrysophyta

Class Bacillariophyceae (Diatoms)

057 0 1 057 02 058 0 1 059 0 1 060 0 1 06 1 0 1 062 0 1 062 02 062 03 063 0 1 064 0 1 064 02 064 03 064 04 065 0 1 066 0 1 067 0 1 068 0 1 069 0 1 070 0 1 070 02 070 03 070 04 070 05 070 06 070 07 070 08 07 1 0 1 0 7 2 0 1 073 0 1 074 0 1 074 02 074 03 074 04 074 05 074 06 075 0 1 075 02 075 03 075 04 075 05 075 06 075 07 076 0 1 076 02 076 03 076 04 076 05 076 06

Achnanthes exigua v heterovalve Achnanthes sp Amphora ovali s v l i byca Biddulphia laevi s Calonei s amphisbaena Campylodiscus sp Cocconeis dimi nu ta Cocconei s hus t ed t i i Cocconeis placentula Coscinodiscus rothii Cyclotella glomerata Cyclotella kutzi ngiana Cyclotella menghiniana Cyclotella s telligera Cylindrotheca s p Cymatopleura solea Cymbella ventricosa Denticula s p Diplonei s oblongella Fragilaria brevis t riata Fragilaria capucina Fragilaria cons truens Fragilaria cons truens v subsalina Fragi laria construens v ven ter Fragilaria cro tonensi s Fragilaria pinna ta Fragilaria vaucheria Frus tul1a sp Gomphonema graci le Gyrosigma nodiferum Melosira ambigua Melosi ra granulata Melosira granulata v angus tissima fo spiralis Melosi ra granulata muzzanensis Melosira i talica Melosi ra sp Navicula accomoda Navi cula cincta Navicula cryp tocephala Navicula exigua Navi cula pupula Navi cula rhynococephala v germani i Navi cula s p Ni tzschia aci cularis Ni tzschia amphi bia Ni tzschia api culata Ni tzschia augus tata Ni tzschia cons trl c ta Ni tzschia dissipa ta

076 07 076 08 076 09 076 10 076 1 1 076 1 2 076 1 3 076 1 4 076 1 5 076 1 6 076 1 7 077 0 1 078 0 1 079 01 080 01 08 1 01 082 01 083 01 083 02 084 01 085 01 085 02 086 01 087 01 088 01 089 01 090 01 09 1 01 092 01 093 0 1 094 0 1 095 0 1 096 0 1 097 01 098 01 099 01 100 01

Ni tzschia fili formis Nitzschia frus tulum Ni t zschia holos t ica Ni tzschia hungarica Ni tzschia lanceolata v minima Ni tzschia linearis Ni tzschia lorenziana Nitzschia paradoxa Nitzschia punc tuata v coarctata Nitzschia trybilionella v victoriae Ni tzschia sp Opephora mar tyi Pinnularia maior Pleurosigma salinarium v boyeri Rhopalodia gibba Skeletonema Cos tatum Stauroneis s p Stephanodiscus as trae v minutula Stephanodiscus invisi tatus Surirella robusta v splendida Synedra actinas tro ides Synedra ulna Tabellaria sp Tetracyclus lacus tris Thalassios i ra sp Buno tia 1 s p Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Other Chrysophycea

185 01 186 01

Dinobryon sp Synura s p

Cyanophyta (Blue-green Algae)

101 0 1 102 0 1 102 02 102 03 103 0 1 104 0 1 105 0 1 105 02 106 0 1 106 02 107 0 1 108 0 1 109 0 1 109 02 1 10 0 1 I I I 0 1 I I I 02 1 12 01 1 13 0 1 1 13 02 1 14 01 1 15 01 1 15 02 1 15 03 1 15 04 1 1 6 01 1 16 02 1 16 03 1 1 7 0 1 1 18 0 1 1 18 02 1 18 03 1 19 01 120 0 1 1 2 0 02 1 20 03 1 2 1 01 122 01 1 23 0 1 1 23 02 1 24 0 1 1 24 02 1 24 03 1 25 0 1 1 2 6 0 1 127 0 1 128 0 1 1 29 0 1 130 0 1 1 3 1 0 1 1 32 0 1 133 0 1

Agmenellum quadruplicatum Anabaena bornet i ana Anabaena sphaerica Anabaena spiroides Anacyst i s s p (Gloeo thece) Aphanizomenon flos -aquae Aphanocapsa delicatiss ima Aphanocapsa pulchra Aphano thece s tagnina Aphano thece pras ina Arthrospira gomontiana Aulosi ra infuxa Chroococcus planctonica Chroococcus turgidus Coccochloris s p Coelosphaerium naegelianum Coelosphaerium s p Eucapsis alpina Gomphosphaeria aponina Gamphosphaeria lacus tris Bolopedium i rregulare Lyngbya contorta Lyngbya limne t ica Lyngbya tenuis Lyngbya sp Herismopedia elegans Herismopedia glauca Herismopedia punctata H icrocoleus lyngbyaceus Hicrocys tis aeruginosa Hicrocys tis flos -aquae Hicrocys t i s incerta Nodularia spumigena Oscillatoria tenuis Oscillatoria terebriformis Osci llatoria sp Phormidium autumnale Raphidiops i s curvata Schlzo thrix calciola Schlzothrix sp Spirulina laxissima Spi rulina subsalsa Splrul1na sp Glaucocys tis sp Anabaenopsls sp Nos toc sp Unknown Unknown Unknown Unknown Unknown Unknown

1 34 0 1 1 35 01 136 0 1 1 37 01 1 38 0 1 1 39 0 1

Unknown Unknown Unknown Unknown Unknown Unknown

Buglenophy ta

140 0 1 1 4 1 0 1 141 02 141 03 141 04 141 05 141 06 141 07 141 08 141 09 141 1 0 1 4 1 1 1 141 1 2 1 4 2 0 1 142 02 143 0 1 144 0 1 144 02 144 03 144 04 1 44 05 144 06 144 07 145 01 145 02 145 03 145 04 146 0 1 1 46 02 1 46 03 148 0 1 149 01 150 0 1 1 5 1 0 1 1 52 0 1 153 01 154 0 1 155 0 1

As tasia klebesi i Euglena acus Euglena deses Euglena gracilis Euglena hematodes

-Euglena minuta Euglena oxyuris Euglena polymorpha Euglena spiroides Euglena subehrenbergi i Euglena t ripteris Euglena viridis Euglena s p Lepocinclis ovum Lepocinclis texta Petalomonas sp Phacus curvicauda Phacus longicauda Phacus pleuronectes Phacus pyrum Phacus tor ta Phacus triqueter Phacus sp St rombomonas giardiana S t rombomonas giardiana v glabra S trombomonas tambovika S trombomonas sp Trachelomonas crebea Trachelomonas cylindrica Trachelomonas volvocina Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Pyrrhophyta

Class Cryptophyceae

156 0 1 157 0 1 158 0 1 158 02 158 03 158 04 159 0 1 160 0 1 160 02 161 0 1 162 0 1 163 0 1 164 0 1 165 0 1 166 0 1 167 0 1 168 0 1 169 0 1

Chilomonas paramecium Chroomonas acuta Cryptomonas erosa Cryptomonas marssoni Cryp tomonas ovata Cryp tomonas s p Billea sp Rhodomonas lucus tris Rhodomonas sp Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Class Dinophyceae (dinoflagellates )

1 70 0 1 1 70 02 1 7 1 0 1 172 0 1 1 73 0 1 1 74 0 1 1 74 02 1 75 0 1 175 02 1 75 03 175 04 176 0 1 177 0 1 178 0 1 179 0 1 180 0 1 181 0 1 182 0 1 183 0 1 184 0 1

Cerat ium brachyceros Cerat ium hirundinella fa furcoides Diplopsali s lent icula + Glenodinium gymnodinium Gonyaulax sp Gymnodinium aeruginosum Gymnodinium neglectum Peridinium inconspicuum Peridinium umbonatum Peridinium viscons inense Peridinium sp Prorocentrum micans Dinoflagellate cys ts Unknown Dino 1 Unknown Dino 2 Unknown Unknown Unknown Unknown Unknown

+ may be Peridiniopsis acuta

Denotes Genus Comput er Codes Denotes Species Computer Codes

Tentat ive Iden t i f ications

TABLE 55

bull

D I V E R S IT Y

ielou lise di versi ty (H ) bull

-1 I t l oge t

ielou 81se e evenness (J I ) bull

( -1 I 1 l oge 1 ) l og 5

Margl l ev dtversi ty bull

( - 1) log bull bull

ielou Is 10 diverst bull

-1 I 1 l agl0 1

11ou lis 10 IYlnness bull

( -1 I 1 lag l0 1 ) 10110 S

2 Sipson Di vers i ty bull 1 I 1

5 ipson Evenness bull ( 1 - I t2

) ( 1 - ( 1 5raquo

5heldon Evenness bull bull H middot I 5

H middot He t p Evenness bull ( - 1 ) I (5 - 1 )

S I M I LARITY

Mountford bull Z ( 51 + 5Z - 51Z) I ( Z I 5 1 I 5Z -

laquo 51 + 5Z (51 + 5Z - 51 Zraquo

Z Cl t ffordmiddot5tephenson bull 1 - t (lt - Zt )

Mh1ttlker PS I bull 1 - (t l l t - Z1 1 I Z )

Clnberrl Metrtc bull 1 - (t ( ) ft1 t - ftz1 1 I (n11 + nZ1 I IZ )

SIMI bull [(PI I I 21 ) I ( EPIIZ I rP2tZ)

MDrl sltl bull (2Enl 1 I n21 ) I laquo ( E( nl1 I nIl bull 1 ) I ( Nl I Nl - 1) )

+ ( [21 I 21 bull 1 ) I (2 I 2 bull 1 ) ) I 1 I 2)

nIt bull number of Indlv1dulls in sample 1 of 1th tlxa

I bull totll number of Individulls in sample 1

512 bull total nunber of tlXI tn both samples 1 and 2

51 bull umber of tXI t n sample 1

Pt bull percent t th taxa represents of the totll sle (nt )

p bull geome t r i c me an

DISTRIBUTION OF MAJOR TAXONOMIC GROUPS BY DATE AND STATION

1$ $ $I GREEN AUlAE STATION

emggg DIATOMS

FIGURE 5 1

DINOFLAGELLATES __ BLUE-GREEN AL8AE

FIGURE 5 6

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVBBN THE CONTROL AND EXPERIMENTAL SITES ON 17 SEPTEMBER 1 987

E C

E C

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 0 000 150000 0 002583333

3 2 45666667 3 2 44666667 F Value

0 058 Prob gt F

0 82 1 4

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

Mean Score

1 1 0 10 5000000 2 29128785 3 66666667 10 0 10 5000000 2 29 1 28785 3 33333333

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inui ty Correction of 5 )

S- 1 1 0000 z- o

T-Tes t approx Signi f i cance -

Prob gt I Z I - 0 9999

0 9999

Kruskal-Vallis Tes t (Chi -Square Approxima tion ) CBISQ= 0 04762 DP= 1 Prob gt CBISQ= 0 8273

FIGURE 5 6 (cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analys is of Variance

SURFACE

N Mean Among KS Vi thin KS 0 0 1 1 266667 0 1 23066667

E C

3 2 59000000 3 2 50333333 P Value

0 092 Prob gt P

0 7773

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

S td Dev Under BO

1 2 0 10 5000000 2 29 128785 9 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

s- 1 2 0000 z- 0 436436

T-Tes t approx Significance -

Prob gt I Z I - 0 6625

0 6807

Rruskal-Vallis Tes t (Ch i -Square Approxima t ion) CBISO- 0 42857 DP- 1 Prob gt CBISO= 0 5 127

Hean Score

4 0 3 0

PIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BBTVIEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SBPTBHBBR 1987

E C

E C

Analysis of Variance

N Hean Among HS Vi tbin HS 0 0 15000000 0 040433333

3 2 35333333 3 2 45333333 P Value

0 37 1 Prob gt F

0 5754

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

Hean Score

10 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 10 5000000 2 29 1 28785 3 66666667

Vilcoxon 2-Sample Tes t (Normal Approxima tion) (wi th Continui ty Correction of 5 )

S - 10 0000 z- o

T-Test approx Signif i cance -

Prob gt I Z I - 0 9999

0 9999

lruskal-Vallis Tes t (Cbi -Square Approximation ) CBISQ- 0 04762 DF- 1 Prob gt CHISQ- 0 8273

FIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1988

Analys is of Variance

N Mean Among MS Vi thin MS 0 0160 1 6667 0 269783333

E C

3 2 8 1 333333 3 2 9 1 666667 F Value

0 059 Prob gt F

0 8 1 95

E C

N

3 3

Vi lcoxon Scores (Rank Sums)

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Mean Score

1 1 0 1 0 5000000 2 29 128785 3 66666667 10 0 10 5000000 2 29128785 3 33333333

Vi lcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

S - 1 1 0000 z- o

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 9999

0 9999

Kruskal -Vallis Tes t (Chi -Square Approximat ion) CBISa- 0 04762 DF- 1 Prob gt CBrSQ= 0 8273

FIGURE 5 7

ORDERED C LAMBDA MATRICES

8

SEPT 1 7TH

9 1 0 7 1 1

1 2 [ 0 7 1 0 61 0 35 0 54 0 87 [

1 1 [ 0 7 1 0 73 0 60 0 77 [

7 [ 0 84 0 89 0 9 1 [

10 [ 0 72 0 76 [

9 [ 0 90 [

SEPT 30TH

8 9 7 1 2 1 1

10 [ 0 58 0 60 0 69 0 64 0 73 [

1 1 [ 0 9 1 0 91 0 93 0 95 [

12 [ 0 91 0 90 0 93 [

7 [ 0 94 0 94

[ 9 [ 0 99

[

SEPT 22ND

7 8 1 2 1 1 10

9 [ 0 48 0 58 0 37 0 43 0 64 [

10 [ 0 65 0 75 0 73 0 90 [

1 1 [ 0 55 0 54 0 64 [

12 [ 0 54 0 66

[ 8 [ 0 88

[

JAN 1 3TH

8 7 9 1 2 7 5 10

1 1 [ 0 38 0 39 0 35 0 42 0 40 0 57 [

10 [ 0 74 0 57 0 34 0 61 0 74 [

7 5 [ 0 68 0 57 0 50 0 86 [

12 [ 0 58 0 63 0 80

( 9 [ 0 37 0 53

[ 7 [ 0 65

[

VI COMMUNITY METABOLISM

V I A I NTRODUCTION

Convnun i ty metabol i sm as measured by the d i el oxygen mon i tor i ng

techn i que (Odum and Hask i n 1958 Odum and Wi l son 1962 Odum 1967 ) i s

a methodol ogy used to est imate gross system product i on by cal cul ati ng the

rate of b i o l og i cal l y med i ated oxygen c hanges i n a water col umn over a 24

hour peri od Many factors contri bute to the oxygen budget of aquat i c

systems d i ffus i on from the atmosphere photosynthes i s and resp i rat i on

rates of submerged macrophytes phytopl ankton and peri phyton benth i c

oxygen demand resp i rat i on of ani mal s i n the water col umn and BOD al l

pl ay a ro l e i n regul ati ng oxygen l evel s i n the water These factors are

i n turn regu l ated by the energy i nputs i nto the system sun l i g ht

detr i tus and d i s sol ved nutri ents

Odum ( 1 957 ) suggested that gross product i on of an ecosystem may

i nc rease l i nearly wi th i ncreas i ng l i ght i ntens i ty even thoug h the gross

product i on of an i nd i v i dual pl ant woul d exh i b i t a hyperbol i c response to

i ncreas i ng l ig ht i ntens i ty A study of Li ttl e Lake Conway ( near Orl ando)

re vea l ed that photosynthet i c effi c i ency actual l y decreased wi th

i ncreas i ng 1 ight i nten s i ty ( Fontai ne and Ewel 1981 ) Th i s same study

al so noted that the contri but i on of submerged macrophytes and assoc i ated

epi phytes probabl y accounted for seasonal peaks i n product i on s i nce

pl ankton gross product i on rema i ned essent i al l y constant throughout the

year Th i s emphas i zes the need for mu l t i pl e methods when i nvesti gat i ng

convnun i ty product i v i ty and metabol i sm

The fi rst convnun i ty metabol i sm mon i tori ng was conducted over a 2 4

hr peri od o n September 30 and October 1 1987 Measurements o f water

temperature d i s sol ved oxygen content and l i ght penetrat i on were

conducted as descr i bed bel ow Sampl i ng was concl uded wi thout any

i nc i dent and al l pl anned parameters were measured

6- 1

VI B METHODS

Convnuni ty metabol i sm was measured by the d i el oxygen mon i tori ng

techn i que (Odum and Haski n 1958 Odum and Wi l son 1962 Odum 1967 ) a

methodol ogy used to est i mate gross system product i on by cal cul at i ng the

rate of b i ol og i cal l y med i ated oxygen changes i n a water col umn over a 24

hour peri od

Convnun i ty metabol i sm measurements were made at the same stat i ons

on the same sampl i ng date as phytopl ankton pri mary product i v i ty to

prov ide as compl ete a set of overal l product i v i ty and met abol i sm val ues

as pos s i bl e Data were gathered from the three control and three

experi menta l stat i ons for the Hvdr11l a harvest mon i tori ng and used to

d i fferent i ate harvested from non middot harvested areas locat i ons of stat i ons

are i l l ustrated i n F igure 6 1 Subsequent sampl i ngs wi l l enabl e seasonal

vari at i ons of convnun i ty met abol i sm to be asses sed

As requ i red surface ( 0 2 ) and bottom (0 8 of total depth )

measurements of d i ssol ved oxygen and temperature were made at al l s i x

stat i ons over a 24 hour per iod I n add i t i on a nearl y compl ete set of

data was col l ected for mid depth ( 50 of stat i on depth ) The add i t i onal

data prov i de a more compl ete perspect i ve of commun i ty metabol i sm

funct i ons Rates for gross and net pri mary product i on and resp i rat i on

were then cal cul ated Rates of oxygen change were cal cul ated for each

stat i on and depth over the 24 middothr mon i tori ng peri od To a l l ow the

detect i on of any vert i ca 1 d i fferences i n the water col umn O i e 1 net

product i on for each stat i on an depth was determi ned by summat i on of

oxygen change val ues over the 24 middothr peri od Dayt i me net product i on ( P

net ) was cal cul ated by sunvnat i on of oxygen concentrat i on changes between

sunri se and sunset Net n i ght t i me respi rat i on ( R n i ght ) was cal cul ated

by sunvnat i on of oxygen concentrat i on changes between sunset and sunri se

An est i mate of gross pri mary product i on ( P gross ) was then cal cul ated

from the equat i on

dayl ight hours [ Rn ight x n ight hours ]

6 middot 2

An est i mate of res p i rati on for a 24-hrs per i od can be made by the

equat i on

( 24- hr ) hours of ni ght

The same est i mates of gross product i on and res p i rat i on were used to y i e l d

est i mates o f metabol i sm per un i t area o f water col umn by cal cul at i ng

d i el changes i n total oxygen content of the water col umn at a stat i on per

square meter

Normal sol ar i n sol at i on was recorded by a pyrhel i ometer pl aced at

the harvester offl oad ramp By i ntegrat i on of the area under the

i n sol at i on traces val ues for total Kcalm2day of avai l abl e energy were

determ i ned In add i t i on to measuri ng total i n sol at i on Li Cor i n s i tu

photometer read i ngs were made duri ng dayl ight hours at each stati ondepth

to determi ne the amount of energy avai l abl e i n the photosyntheti cal ly

act i ve wave l ength s The ext i nct i on coeffi ci ent of l i ght for each

stat i on was cal cul ated by the equati on

E - ( I n l dl s ) -d

where l d - l i ght at depth (d) l s bull l i ght at surface and d depth of

read i ng

VI C I NTER IM RESULTS

Tabl e 6 1 l i sts the data for temperature and d i s sol ved oxygen as

wel l as the hourly changes i n val ues over the 24-hr record i ng peri od

For the date of sampl i ngs the 1987 NOAA sunri sesunset tabl es g i ve

sunri se at 0651 hrs and sunset as 1850 hrs ( standard t i me) or 1 1 hrs 59

m i n utes o f dayl i ght and 12 hrs 1 mi nute of darkness For purposes of

cal cul at i ons dayl i ght vs darkness are therefore cons idered equ i val ent

Tabl e 6 2 l i sts the val ues obtai ned for i nc i dent sunl i ght (deck un i t ) and

l i ght penetrati on at the surface 0 5m and 1 0m depths Un i t s are mi croshy

e i nste i nsm2sec Sol ar i nsol ati on for September 30 October 1 and a

port i on of October 2 are shown as chart record s i n F igure 6 2

Cons i derabl e cl oud i ness for these three days i s ev i denced by the

traci ng s L i ght penetrat i on i nto the water col umn i s represented by data

6-3

i n Tabl e 6 3 Val ues for surface l i ght ( approximate ly 2 cm bel ow

surface) and l i ght at 0 5 m and 1 0 m were recorded The percentage of

avai l abl e surface l i ght and the ext i nct i on coeffi c i ents for 0 5 m and

1 0 m were al so cal cul ated Val ues for percentage l i ght penetrat i on and

ext i nct i on coeffi c i ents were qui te vari abl e but general l y there was much

l ess l i ght penetrat i on to the 0 5m and 1 0m l evel s at the vegetated

stat i ons refl ect i ng the Hvdri 1 1 a coverage L i ght l evel s at these

stat i ons too were vari abl e depend i ng on the rel at i ve th i ckness of the

Hydri 1 1 a mat

There was a l arge amount of vari at i on i n d i ssol ved oxygen val ues

over the course of the 24-hr data col l ect i on peri od Surface and bottom

00 val ues are graph i cal ly represented for each stati on i n F i gures 6 3

and 6 4 F i gure 6 5 exh i b i t s the overal l trends for the harvested vs

vegetated stat i ons for surface d i ssol ved oxygen val ues averaged for al l

three stat i ons of each transect Al l stat i ons fol l owed the same typi cal

trend of r i s i ng 00 val ues for dayl i ght hours peaki ng i n l ate afternoon

and fal l i ng val ues after sun set Thi s trend i s al so seen i n Tabl e 6 4

wh i ch represents the percent saturati on for surface mi d and bottom

depths Aga i n the general trend i s for greatest l evel of percent

saturat i on to occur dur i ng afternoon hours and l owest percentages dur i ng

the early pre-dawn hours The most notab1 e d i fferences occurred for

bottom 00 val ues at Stati on 12 wh i ch appeared to be much l ower overal l

D i ver observat i ons made on December 1 1 1 987 reveal ed that thi s stat i on

has a th i ck l ayer (+0 3m) of very fi ne sed i ments The water- sed iment

boundary was very d i ffi cu1 t to l ocate due to the f1 occu1 ent nature of

t h i s sed i ment It seems probabl e that the very l ow val ues obtai ned at

t i mes at Stati on 12 were probabl y the resu l t of part i al l y l oweri ng the

probe i nto thi s turb i d i ty l ayer

Tabl e 6 5 presents the daytl me net product i on and net n i ght t i me

resp i rat i on as the sum of changes i n oxygen val ues during dayl i ght

( produc t i on ) and n i ght t i me (respi rat i on ) Product i on val ues ranged from

- 0 3 ppm ( Stati on 7 mid depth) to 1 2 0 ppm 02 product i on ( Stat i on 1 1

surface ) Overal l the control stati ons exh i b i ted greater product i vi ty

wi th a mean val ue of 4 4 ppm 02 product i on compared to 2 8 ppm for the

harvested transect For i nd i vi dual compar i sons between harvested and

6-4

comparabl e control 7 of the n i ne comb i nat i ons (3 stat i on pai rs x 3

depths ) exh i bi ted greater val ues for the control s i tes Thi s d i fference

i n product i v i ty i s expected s i nce the Hydri l l a was removed from Stat i ons

7 8 and 9 For net n i ght res p i rat i on Stat i on 1 1 exh i b i ted the

greatest oxygen demand ( -4 4 ppm 02) and Stat i on 12 the l owest demand

( - 1 4 ppm 02 ) However th i s i ncl udes an anomal ous val ue for the bottom

l ocat i on of Stat i on 12 (+1 8 ppm 02 ) For al l but three compari sons

( Stat i ons 7 and 10) control stat i ons exh i bi ted a greater resp i rat i on

demand than the harvested stati ons The trend of reduced resp i rati on at

harvested stati ons woul d be expected due to weed removal

Tabl e 6 6 l i sts the d i el net product i on val ues for each stat i on

for the 24-hr moni tori ng peri od Only one stat i on ( 7 ) exh i b i ted a

negat i ve net product i on val ue as an average for the total water col umn

Th i s i nd i cates a net consumpti on of oxygen over what i s produced by the

photosynthet i c act i v i ty Whi l e there appear to be d i fferences between

stations and overal l transect val ues these were not stat i s t i cal l y

s i gn i fi cant when tested wi th a I -way ANOVA Est i mates of gross primary

product i on are i l l ustrated i n Tabl e 6 7 For the harvested transect

val ues ranged from -7 3 at mi d-depth of Stat i on 7 to 1 2 at the surface

of Stati on 9 For the control transect val ues ranged from -2 8 (mi dshy

depth Stat i on 1 1 ) to 2 3 at Stat i on 12 The val ues for Stat i on 12 need

to be vi ewed wi th caut i on due to the nature of the fi ne sed i ments at thi s

stat i on as prev i ously stated Overal l Stat i on 7 exh i bi ted the l owest

product i v i ty (x bull -4 7 ) fol l owed by Stat i ons 8 (x bull - 1 9) 1 1 (x bull - 1 7 )

10 ( X bull -0 2 ) 1 2 ( X bull 0 2 ) and 9 (X bull 0 6 ) Whi l e the harvest transect

stati ons exh i bi ted l ower overal l pri mary producti on val ues there was no

s i gn i fi cant d i fference between the control vs harvest transects

Tabl e 6 8 presents esti mates of total resp i rati on for a 24-hr

per i od for each stati on Val ues ranged from - 1 2 0 for the surface of

Stat i on 1 1 to -3 2 for surface and middl e val ues of Stati on 7 The

pos i t i ve 3 6 val ue for the bottom of Stat i on 12 i s an anomal y due to the

nature of sed i ments at th i s stati on Data for Stati on 12 wi l l be

reval u ated to determi ne i f appropri ate correct i ons can be mad e There

were no stati st i cal l y s i gn i fi cant d i fferences between val ues of control

versus harvest transects

6 -5

Vl tO t FINAL REPORT ANALYSES

Data anal ys i s for the i nter im report has not been exten s i ve s i nce

onl y data from one event has been eval uated A second mon i tor i ng was

conducted on January 13 and 1 4 1988 for wh i ch data reduct i on i s not yet

compl eted There i s some i nd i cat i on that there may be a d i fference i n

the parameters measured for the SeptemberOctober sampl i ng between the

control and harvest transects These d i fferences were not stat i st i cal l y

detectabl e based upon anal yses o f the fi rst data set Prel i mi nary rev i ew

of data generated by the January sampl i ng i nd i cate fewer d i fferences

between stat i ons than were found i n SeptemberOctober Subsequent

sampl i ngs may enhance the poss i bi l i ty of detect i ng l ow l evel d i fferences

between control and harvest stat i ons i f such d i fferences actual ly occur

Hvdri l l a regrowth was very rapi d w ith i n the harvest transect As

a resul t of th i s rap id return to basel i ne cond i t i ons i t i s unl i ke1 y

that Quarter I I I and IV cORlllun i ty metabo 1 i sm measurements wi 1 1

d i fferent i ate between control versus harvested stat i ons Thus the

harvest i ng i mpacts on commun i ty metabol i sm appear to be most pronounced

i mmed i ate ly after harvest The fi rst quarterl y col l ect i on showed a l arge

vari ance i n data that i s poss i bl y maski ng d i fferences between harvest and

control stati ons The sampl i ng strategy for the th i rd and fourth

sampl i ngs cou ld be restructured to repl i cate the cond i t i ons of Quarters I

and I I Th i s wou ld prov i de a second set of data to prov i de i nformat i on

on max i mum i mpact for a d i fferent harvest season Seasonal growth

di fferences of Hydri 1 1 a and the Okeechobee peri phyton commun i ty can be

expected to resul t i n seasonal patterns of commun i ty metabol i sm Th i s

wou ld entai l a reharvest of the experi mental transect

As ment i oned i n the resul t s the data from Stat i on 1 2 were qu i te

d i fferent from al l other stat i ons due to the very organ i c substratum

For the fi nal report Stat i on 1 2 data wi l l be del eted and the data set

reanal yzed In add i t i on anal ys i s of pa i red stati on combi nati ons (e g

7 - 10 8 - 1 1 9 - 1 2 ) may enabl e a more prec i se d i fferent i at i on of

d i fferences between control versus harvested stati ons

6-6

LITERATURE CITED

Fonta i ne 1 0 I I I and K C Ewel 1981 Metabol i sm of a Fl ori da USA l ake ecosystem L i mnol Oceanog 26 (4 ) 754 - 763

Lewi s F G I I I and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 16-124

Odum H T 1957 Troph i c structure and product i v i ty of S i l ver Spri ngs Fl ori da Ecol Monographs 27 55- 1 1 2

Odum H T 1967 B i ol og i cal c i rcu i ts and the mari ne ecosystems of Texas p 99 - 157 In I A Ol son and F J Burgess ( eds ) Pol l ut i on and Mari ne Ecol ogy W i l ey I ntersc i ence Publ NY

Odum H T and C M Haski n 1958 Comparat i ve stud i es on the metabol i sm of mar ine waters Publ Inst Mar Sci Texas 5 16-46

Odum H T and R F Wl l son 1962 Further stud i es on reaerat i on and metabol i sm of Texas bays 1958- 1960 Publ Inst Mar Sci Un i v Texas 8 23 - 55

6 -7

Table 11 NOUly trature and di solved oxygen values for th central atat lona ( 10 1 1 12) m three N)dri Ua harvested atat fona at

the Lake Okeechobee study ai te

Irature

Run Statl an I i SUrface Mid BottOM

1

2

3

4

5

6

7

8

9

10

1 1

1 2

13

14

1 5

1 6

1 7

18

19

20

21

22

21

24

2

3

4

5

6

7 1340

7 1 505

7 1608

7 1108

7 1800

7 1908

7 2008

7 2105

7 2200

7 2300

7 2346

7 0049

7 0220

7 0113

7 0412

7 0500

7 0600

7 0700

7 0823

7 0906

7 1 005

7 1 105

7 1 21 3

7 1310

8 1 353

8 1 522

8 1627

8

8 827

8 1934

279 280

28 0 28 2

28 1 28 1

280 280

279 279

280 280

280 280

279 279

275 275

27 5 275

272 272

275 27 5

27 5 273

273 273

270 270

270 270

265 270

26 5 26 5

265

265

265 26 5

270 27 0

275 267

273

277 270

280 280

28 1 28 1

28 0 280

279 279

279 279

280

28 2

28 1

280

279

280

28 0

279

275

27 5

27 2

275

273

27 3

270

270

268

26 5

26 5

265

26 5

26 7

26 7

267

278

28 0

28 1

280

279

279

lenperature 01

SUrface Mid Iottca

DiAOlved OXygen Chle I n Oxygen

Surface Mid IottCIII SUrface M id BottOM

1 2

1 1 - 1

- 1 - 1

1 1

o 0

- 1 - 1

- 4 4

o 0

3 - 3

3 3

o - 2

- 2 0

- 3 - 3

o 0

5 0

8 70 750

2 D 695 680

- 1 A 790 770

- 1 Y 830 740

- 1 720 720

1 720 7 1 0

o 6 70 600

- bull 590 600

- 4 I 7 50 740

o G 660 6 60

- 3 H 700 6 30

3 I 840 820

2 860 930

o 480 4 80

3 430 4 10

o 4 70 460

2 3 70 3 15

o - 5 middot 3 320 3 1 0

3 50 o o o

5 5

5 - 3

2

3

1

- 1

1

1

- 1

- 1 - 1

o 0

o o D 5 40

o A 4 70 4 65

2 Y 630 6 20

o 1 1 00 5 30

o 8 30

590 5 90

2 D 690 680

1 A 7 30 730

- 1 Y 700 7 10

- 1 N 700 730

o 680 6 70

400

615 - 1 75 - 70 275

620 95 90 - 55

640 40 30 20

700 - 1 10 - 20 60

660 00 - 10 - 40

600 - 50 - 1 1 0 - 60

600 - 80 00 00

7 00 1 60 1 40 1 00

650 - 90 - 80 - 50

5 70 40 - 30 - 80

770 1 40 1 90 200

9 0 20 1 10 1 40

480 -380 -450 -430

480 - 50 - 70 00

450 40 50 - 30

3 75 - 1 00 - 85 - 75

320 - 50 - 65 - 55

330 30

460 1 90

430 - 70

500 1 60

340 4 70

4 30 2 70

580 -050

680 1 00

730 40

7 10 bull bull 30

10

1 30

- 30

1 55 70

- 90 - 1 60

90

SO -050

90 1 00

50 50

- 20 - 20

730 00 20 20

6SO - 20 - 60 - 80

Tabl e 11 cont inued

TeIIpeIt Tenpert Ch Run St t i on T i 5 fc Mid lottGl Surfac Mid Botta 5 fce Mid BottGl SUrfac M id lottGl

7

8

9

1 0

1 1

12

11

14

15

16

17

18

19

20

21

22 21

24

1

2

1

4

5

6

7

8

9

1 0

1 1

12

8 2024

8 2124

8 2214

8 211]

8 2402

8 0108

8 0304

8 0346

8 0426

8 05 1 7

8 0612

8 0720

8 0835

8 0920

8 1020

8 1 125

8 1 232

8 1121

9 1409

9 1519

9

9 1 742

9 1848

9 1951

9 2040

9 2142

9 2230

9 2127

9 2420

9 0127

280 278

27 5 275

27 5 275

275 275

272 272

270 270

27 0 270

27 0 270

265 270

265 27 0

26 1 265

26 1 265

265

261 26 1

26 5 265

26 7 26 7

270 270

271

270 272

275 275

276 276

272 272

275 275

27 5 275

27 5 275

270 270

270 270

270 27 0

27 0 270

270 270

278

275

275

275

272

27 0

270

270

270

270

26 5

265

265

261

265

26 7

270

271

270

275

276

272

275

275

275

27 0

27 0

27 0

270

27 0

1 - 1

- 5 - 1

o 0

o 0

- 1 - 1

2 - 2

o 0

o 0

- 5 0

o 0

- 2

o 2

2

2

2

1

1

- 5

o

2

2

1

-1 G 650 640

1 bull 5 80 5 80

o T 6 00 5 90

o 8 00 710

- 1 M 700 6 00

- 2 I 740 750

o G 550 5 50

o 4 60 5 00

o T 4 50 4 40

o 5 00 480

- 5 4 40 4 80

o 1 70 2 80

o D 2 90

- 2 A 2 40 2 40

2 Y 495 4 85

2 5 90 5 70

1 570 5 40

1 640

- 1 - 1 4 20 4 10

5 1 5 D 6 25 575

1 1 1 A 690 670

- 4 - 4 - 4 Y 5 20 5 30

1 1

o 0

o 0

- 5 - 5

o 0

o 0

o 0

o 0

1 5 50 5 10

o bull 6 50 620

o I 6 50 630

- 5 G 7 50 760

o 670 660

o T 5 50 5 70

o 700 1 80

o 9 00 870

630 - 30 - 30 - 20

580 - 70 - 60 - 50

5 70 20 10 - 10

600 200 1 40 10

590 - 1 00 - 1 30 - 1 0

590 40 1 50 00

5 20 - 1 90 - 2 00 - 70

5 00 - 90 - 50 20

4 30 - 1 0 - 60 - 70

480 50 40 50

4 10

2 60

2 80

2 15

485

5 50

5 40

630

- M 00 - 70

- 70 -200 - 1 50

- 80 20

- 50 - 45

2 55 2 45 2 50

95 85 65

- 20 - 30 - 1 0

70 90

410 -2 20 -2 20

5 80 2 05 1 65 1 70

690 65 95 1 10

5 20 - 1 70 - 1 40 - 1 70

5 40 30 00 20

6 10 1 00 90 70

600 00 10 - 1 0

760 1 00 1 30 1 60

640 - 80 - 1 00 - 1 20

4 60 1 20 - 90 - 1 80

680 1 50 - 1 90 2 20

850 2 00 490 1 70

Table 1 1 cont inued

Tenperature

Run Stat i on T ime Surface Mid Botta

13

1 4

1 5

1 6

1 7

1 8

1 9

20

21

22

23

24

1

2

3

4

5

6

7

8

9

1 0

1 1

1 2

1 3

1 4

15

1 6

1 7

9 0318

9 0358

9 0439

9 0535

9 0624

9 0742

9 0850

9 0926

9 1 036

9 1 145

9 1 251

9 1 ]40

10 1419

10 1514

1 0 1618

10 1 716

1 0 1 81 5

10 1 92 1

10 201 7

10 2 1 1 3

10 2207

10 2305

10 2355

10 0057

10 0247

10 Oll8

10 0418

10 0508

10 0605

268 268

265 265

263 265

265 265

26 0 263

260 263

260

26 0 260

26 3 263

265 265

270

273

278 laO

la O la O

la 1 la 1

la 28 1

laO 280

28 0 laO

28 0 278

275 275

272 275

275 27 9

275 275

27 1 27 1

270 273

265 27 0

26 5 270

270 27 0

263 265

268

265

265

26 5

263

263

260

26 0

263

265

27 0

27 0

28 0

28 0

281

28 1

28 0

28 0

278

279

27 5

280

275

27 1

273

27 0

270

27 0

26 7

Tenperature Change Surf-=e Mid Iotta

Di ssolved Oxygen Charae In OXygen

Surface Mid Botten SUrf-=e Mid BottOll

2 2

- 3 - _ 3

- 2 0

2 0

- 5 - 2

o 0

o o

3 3

2 2

5

3

2

1

o

o 1

o

- 1 - 1

o 0

o - 2

- 5 - 3

- 3 0

3 4

o - 4

4 - 4

- 1 2

- 5 - 3

o 0

- 2 bull 450 450

- 3 I 360 355

o G 3lD 360

o H 365 370

T

- 2 365 340

o 210 200

- 3 D 1 10

o A 240 2 1 0

3 Y 4 40 495

2 5 60 5 45

5 600

o 700

580 520

o D 790 790

1 A 890 730

o y 650 630

- 1 880 8 1 0

o 650 680

- 2 600 600

1 N 430 420

- 4 I 3 30 430

5 G 4 1 0 4 60

- 5 H 4 50 5 50

- 4 T 830 820

2 630 7 1 0

- 3 4 40 460

o 420 4 30

5 0 0 4 10 3 90

- 7 - 5 - 3 3 10 360

4 50 -450 -420 -4 00

395 - 90 - 95 - 55

300 - 30 05 - 95

340 35 10 40

335 00 - lD - 05

2 00 - 1 55 - 1 40 - 1 35

1 40 - 40 - 60

2 10 70 70

4 10 200 285 260

4 80 1 20

5 60 40

5 0 1 0

80

670 1 00 1 1 0

5 40

590 2 1 0 270 50

5 90 1 00 - 60 00

6 50 -2 40 - 1 00 60

6 00 2 30 1 80 - 50

620 -2 30 - 1 lD 20

5 90 - 50 - 80 - 30

4 50 - 1 70 - 1 80 - 1 40

4 00 - 1 00 10 - 50

4 20 80 lD 20

4 80 40 90 60

8 10 3 80 2 70 330

730 -200 - 1 10 - 80

4 55 - 1 90 -250 -2 75

440 - 20 - 30 - 1 5

3 95 - 1 0 - 40 - 45

3 60 - 40 - _30 - 35

Table 81 cont inued

Teaprature Teaperature QUI D f ssol ved IlXWen Chqe In Oxygen Ral Stat i on T i_ Surface Mfd BoU_ SUrface M i d IIOtt_ Surface Mid Batt_ SUrface Mid Bott_

11

1 9

20

21

22

23

24

2

3

4

5

6

7

I 9

1 0

1 1

1 2

1 3

1 4

1 5

16

1 7

1 1

1 9

20

21

22

23

1 0 0712

10 0821

10 0912

10 1 01 0

10 1 11 2

10 1 Z20

10 1 316

1 1 1455

11 1521

11 1641

11 1 732

11 18lO

1 1 1938

1 1 2029

1 1 2130

1 1 2Z20

1 1 2311

1 1 2408

1 1 0116

1 1 0310

11 0350

1 1 0430

1 1 0524

1 1 0617

1 1 0729

084 1

1 1 0926

1 1 1026

11 1 131

11 1238

263 265

263

265 265

265 265

273 26 5

285 270

277

271 271

280 271

280 280

280 280

275 280

275 275

275 275

275 271

275 275

272 275

270 27 1

270 27 0

261 270

261 270

270 270

260 265

260 263

263 265

263

263 263

265 265

280 270

293 273

26 7

26 5

26 5

26 5

26 5

270

26 7

271

271

210

210

21 0

275

27 5

271

275

27 2

27 1

270

270

270

270

26 7

26 5

26 5

26 5

263

26 5

26 7

270

o o

2

o 1

1 2

- 1

o

o o

5

o 390

- 2 D 4 75

o A 5 15

o y 640

o 900

5 1 1 00

- 3 1040

390

4 80

3 80

4 30

5 80

1 1 1 1 00 520

2 0 0 D 150 600

o 2 2 A 160 5 70

o 0 0 Y 900 660

-5 0 0 650 680

o - 5 - 5 660 630

o 0 0 5 50 5 80

o 3 3 M 560 550

o 3 - 3 I 5 10 5 00

middot 3 0 - 3 G 5 90 5 50

- 2 - 4 - 1 H 620 5 90

o - 1 - 1 T 710 690

- 2 0 0

0 0 0

2 0 0

- 1 5 - 3

4 20 430

3 75 3 70

360 350

3 00 295

o 3

o o

2

1 5

1 3

2

2

2

5

3

- 2 280

o 4 1 0

o 5 85

- 2 D 650

2 A 720

2 Y 1360

3 1 540

2 70

4 1 0

5 40

5 70

100

740

410

4 00

4 1 0

290

360

4 10

290

20 30 50

15 - 1 0

40 1 0

1 25 - 1 00 -1 20

2 60 50 70

200 1 50 1 1 0

- 60 -1 80

525 -240 235

6 00 50 80 75

500 1 0 - 30 -1 00

650 40 90 1 50

660 -250 20 1 0

600 1 0 - 50 60

560 - 1 1 0 - 50 - 40

5 50 1 0 - 30 - 10

490 - 50 - 50 - 60

410 80 50 - 20

600 30 40 1 30

640 _90 1 00 40

4 40 -290 -260 -200

400 - _45 - 60 - 40

3 50 - 1 5 - 20 - 50

300 - 60 - 55 - 50

3 00

4 25

5 15

495

480

680

610

- 20

1 30

1 75

65

70

640

1 80

- 25

1 40

30

230

- 60

00

1 25

90

- 20

- 15

200

- 1 0

Table e 1 cont l nuacl

leaperature leaptrature Change

Rill Statten I I Surface Mfd lottca SUrface Mid Bottca surface Mid Bottca SUrface Mid Bottca

24

1

2

]

4

5

6

7

8

9

10

1 1

1 2

1 ]

14

15

16

17

18

19

20

21

22

2]

24

1 1 1329

12 1 4]]

12 1546

12 1 655

1 2 1 752

1 2 1857

12 1 957

12 2045

12 2141

1 2 2214

12 2]]]

12 2426

12 0133

12 0122

12 0401

1 2 044]

12 0542

12 0629

12 0746

12 855

12 941

12 1 045

12 1 150

12 1255

12 1 344

29]

27] 275

27 5 271

276 275

272 275

275 275

270 270

27 1 275

270 272

275 275

270 27 0

270 270

270 27 0

265 265

26 ] 265

26 ] 26 5

26 5 26 5

260 26 ]

26 ]

260

26 0 260

26 7 26 ]

27] 26 ]

277

29 0

270

275

275

275

27 1

275

27 0

27 1

270

270

27 0

27 0

270

261

26 5

26 7

265

265

26]

260

26 0

26]

26]

26 5

27]

o

2 ]

o 1 4 00

4 50 220

o D 6 SO 5 60

1 - ] 0 A 100 4 50

- 4 0 - 4 5 10 4 90

] 0

5 - 5

1 5

- 1 ]

5 ]

5 - 5

o 0

o 0

- 5 5

- 2 0

o 0

2 0

- 5 2

]

- ]

o 7 ]

6 0

4

1 ]

4 4 60 440

5 4 80 4 70

1 450 5 00

1 II 790 690

o I ]90 ]90

o G 620 5 20

o N 580 5 50

o I 730 750

- 2 4 10 400

-] ]60 ] 55

2 260 2 70

2 2]5 2 ]0

o 280 2 50

2 1 10

] D 1 60

o A 1 60 1 ]0

] 690 220

o 920 ] 60

2 630

8 1 0 00

640 1 40 - ]0

1 90

4 1 0 200 ] 40 220

400 1 50 1 10 - 1 0

40 -2]0 40 middot]60

440 -1 10 - 50 400

480 20 30 40

10 - ]0 30 - 4 1 0

]20 ] 40 1 90 250

]00 -400 -]00 - 20

]00 2]0 1 30 00 2 1 0 - 40 30 - 90

400 1 50 200 1 90

90 -] 20 -]50 -] 1 0

1 00 - 50 bull bull 45 1 0

240 - 1 00 - 85 1 40

220 - 25 - 40 - 20

230 45 20 1 0

07 - 1 70 -221

10 50 61

50 00 - 20

]50 5 ]0 90 ] 00

290 2 ]0 1 40 - 60

240 -290 - 50

490 ] 70 2 50

Table 12 PhotaDet ry values for surface i d and bot tca depths for a l l stat ions for the 24 hour

Rlni tori peri od of Septeri)er 30 through October 1 1981 Deck lIIi t readings are used as a

llleasure of the var i a t i on i n incident sllll f t comi t fons (Uni ts icroei nste i nssec )

Rln Stat i on

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

1

1

1

1

1

1

1

1

1

1

1

1

1

9

9

9

9

9

Time

1340

1 501

1606

1 709

1800

1906

100

823

906

1 005

1 105

1213

1310

1 341

1521

1621

1 124

1826

1932

120

835

920

1 020

1 125

1 232

1 323

1409

1 531

165 1

1 142

1846

Slbners

Deck 1 Deck 2 Deck 3 Deck 4 eel ib Surface 05 bull 1 0 bull

195

140

910

410

183

1 0 5

3 2

210

580 620

1 700

2100

410

195

660 630

310

93

o 1 5

440

410

140

1 000

2100

2100

228

500

650

190

61

201

130 1020

460

180

102

3 3

210

510

560

1800

2200

500

195

650

810

300

1 1 1

o 14

420

360

570

1200

2200

2200

234

510

640

1 70

61

201

130

1 140

400

168

93

34

o o

460 1 700

2100

o

198

640

660 310

18 o

14

o 400

1300

110

2100

o

246

530

650

160

41

201

130 1 11

440

165

81

34

230 540

790 1100

2200

550

201

610

520

320

75 o

14

560

410

110

560

2200

2200

246

520

600

141

41

189

580 61 0

290 123

9

59

160

440

450

1600

1600

350

186

510

480 200

54

o 4 2

3 1 0

300

560

650

1500

1500

231

430

430

180

55

156

450

490

210

1 1 1

96

8 1

1 30

340

360 1 1 00

100

300

1 11

420

450

168

51

o 14

210

240

320

500

1400

1200

195

350

360

140

33

54

225

144

12 39

66

18

o o

55

500

650

o

99 111

195

60

1 1 1

o 1 2

o 140

310

180

320

o

108

129

120

54

14 1

38 59

51

1 1 1

1 2 3

5 5

1 6

1 1

88

35

55

19 5 1

16

16

54

26

15

o

65

11

90

40

300

250

12

58

1 3 5

1 9

1

lIble 82 cont inued

R Sut i on

6

18

19

20

21

22

23

24

1

2

3

4

5

6

18

1 9

20

21

22

23

24

2

3

4

5

6

18

19

20

21

23

24

9

9

9

9

9

9

9

9

10

10

10

10

10

10

10

10

10

10

10

10

10

11

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

742

850

936 1038

1 145

1251

1 340

1419

1 51 3

1616

1 716

1815

1919

712

828

91 2

1010

1 1 12

1220

1 316

1455

1527

1639

1 730

1835

n9

841

926

1 026

1 238

1329

SlbIRrl

0ec1r 1 0ec1r 2 0ec1r 3 0ec1r 4 Cal l b Sw-flce 0 5 1 0 bull

o 52

280 430

1 100

520

590

2100

330

730

760

420

126

4 6

42

230

320

1600

1 100

1 200

590

750

580

780 260

60 o

20

600

280

1400

1 100

2100

o 52

280

390

1000

530

570

2100

350

740

750

400

126

41

4 1

230 280 750

1700

850

540

77D 570

720 260

60

o 20

360 220

1200

800

1900

o 0

55 57

o ]40

350 320

1000 780 680 660

o 62000 o 600

360 390

730 730 71 0 690

370 360 120 1 14

33 29

4 3 4 6

o 280

530 330

850 1400

1900 1800

1 400 1900

o 530

810 850

550 540

no 690 330 260

60 60

o 0

23 26

o 350

220 240

1500 1500

no 2000

o 700

o 42

210

310

7DO 370

420

1600

300

540

570

280 87

58

64

220

250

700

1400

800

420

550

460 660 240

54

o 19

400

230

1 100

700

1500

o 37

190

250

460 300

330

1300

270

500

410

220

81

6 7

78

90

150

150

800

280

150

420

400

550

200

28

o 13

80

130

650

500

900

o 23

o 130

150

210

o o

66 45

24

99 78

54

76

o 68

69

73

71

o

52

54

1 5

9

69

o 84

o 7 1

7

5 1

o

o 14

1 1

37

10

55

91

61

66 45

30

84

78

5 2

76

73

72

68

7

69

43

490

55

144

84

66

o 83

88

7

69

5 3

4 6

Table 12 cont lrued

SbDe

RIII Stat ion Deck 1 Deck 2 Deck 3 Deck 4 Cal l b surface 05 bull 1 0 bull

12 1433 550 570 600 650 480 420 540 52

2 12 1545 490 480 490 490 410 350 46 41

3 12 1658 400 430 430 440 4 1 0 350 105 350

4 12 1748 180 180 171 1 74 150 126 81 84

5 12 1 856 29 29 25 lJ 27 1 5 6 1 61

6 12 0 0 0 0 0 0 0 0

18 12 746 64 62 0 7l 49 27 0 7

19 1 2 155 230 230 0 290 180 1 50 0 69

20 12 941 320 300 380 360 240 180 21 7

2 1 12 1045 1 400 1400 1 200 1300 1 200 900 69 75

23 12 1255 2100 2100 0 20000 1600 710 0 4 8

24 12 1144 2100 2100 0 700 1600 1300 0 4

Table 83 Light penetration parameters SUrface light (awroximately 2an below water surface) light at o 5m anl 1 Om as well as the peJOeJ1tage of the surface value anl extintion coefficient for eadl station are represented

SUrface (0 5 Meter) (1 0 Meter) Run Time Light Light Percent Ext Q)ef Light Percent Ext Q)ef

station 7 1 1340 156 0 54 0 34 6 2 12 38 0 24 4 1 41 2 1507 4500 225 0 50 0 1 39 59 0 13 1 2 03 3 1606 490 0 144 0 29 4 2 45 57 0 11 6 2 15 4 1709 210 0 72 0 34 3 2 14 11 1 5 3 2 94 5 1800 111 0 39 0 35 1 2 09 12 3 11 1 2 20 6 1906 9 6 6 6 68 8 75 5 5 57 3 56

18 700 8 1 7 8 96 3 08 7 6 93 8 06 19 823 130 0 11 0 8 5 2 47 20 906 340 0 8 8 2 6 3 65 21 1005 360 0 55 0 15 3 3 76 35 0 9 7 2 33 22 1105 1100 0 500 0 45 5 1 58 55 0 5 0 3 00 23 1213 700 0 650 0 92 9 15 79 0 11 3 2 18 24 1310 300 0 5 1 1 7 4 07

station 8 1 1347 171 0 99 0 57 9 1 09 76 0 44 4 81 2 1521 420 0 177 0 42 1 173 76 0 18 1 1 71 3 1627 450 0 195 0 43 3 1 67 54 0 12 0 2 12 4 1724 168 0 60 0 35 7 2 06 26 0 15 5 1 87 5 1826 51 0 17 1 33 5 2 19 7 5 14 7 1 92

18 720 14 0 12 0 85 7 31 1 0 7 1 2 64 19 835 210 0 65 0 31 0 1 17 20 920 240 0 140 0 58 3 1 08 77 0 32 1 1 14 21 1020 320 0 370 0 115 6 - 29 90 0 28 1 1 27 22 1125 5000 180 0 36 0 2 04 40 0 8 0 2 53 23 1232 1400 0 320 0 22 9 2 95 300 0 21 4 1 54 24 1323 1200 0 250 0 20 8 1 57

Table 8a continued

statioo 9 1 2 3 4 5

18 19 20 21 22 23 24

statioo 10 1 2 3 4 5 6

18 19 20 21 22 23 24

surface Time Light

1409 1950 1537 350 0 1651 360 0 1742 140 0 1846 33 0

742 37 0 850 190 0 936 250 0

1038 460 0 1145 300 0 1251 330 0 1340 1300 0

1419 270 0 1513 500 0 1616 410 0 1716 220 0 1815 81 0 1919 6 7 712 7 8 828 90 0 912 150 0

1010 150 0 1112 800 0 1220 280 0 1316 150 0

(0 5 Meter) Light PeJoent EKt Qlef

108 0 55 4 1 18 129 0 36 9 2 00 120 0 33 3 2 20

54 0 38 6 1 91 14 1 42 7 1 70 23 0 62 2 95

0 130 0 52 0 1 31 150 0 32 6 2 24 210 0 70 0 71

66 0 24 4 2 82 45 0 9 0 4 82 24 0 5 9 5 68 99 0 45 0 1 60

7 8 9 6 4 68 5 4 80 6 43 7 6 97 4 05

6 8 4 5 6 19 6 9 4 6 6 16 7 3 9 9 39 7 1 2 5 7 35

( 1 0 Meter) Light Percent EKt Qlef

72 0 36 9 1 00 58 0 16 6 1 80 13 5 3 8 3 28 19 0 13 6 2 00 7 0 21 2 1 55

14 0 37 8 97 11 0 5 8 2 85 37 0 14 8 1 91 10 0 2 2 3 83 55 0 18 3 1 70 91 0 27 6 1 29 61 0 4 7 3 06

66 0 24 4 141 45 0 9 0 2 41 30 0 7 3 2 61

8 4 3 8 3 27 7 8 9 6 2 34 5 2 77 6 25 7 6 97 4 03 7 3 8 1 2 51 7 2 4 8 3 04 6 8 4 5 3 09 7 0 9 4 74 6 9 2 5 3 70 4 3 2 9 3 55

Table 83 continued

SUrface Time Light

statioo 11 1 1455 420 0 2 1527 400 0 3 1639 5500 4 1730 2000 5 1835 28 0

18 729 13 0 19 841 80 0 20 926 130 0 21 1026 6500 23 1238 500 0 24 1329 9000

statioo 12 1 1433 420 0 2 1545 350 0 3 1658 3500 4 1748 126 0 5 1856 15 0

18 746 27 0 19 855 1500 20 941 180 0 21 1045 900 0 23 1255 710 0 24 1344 13000

(0 5 Meter) Light Feroent Ext Q)ef

52 0 12 4 4 18 54 0 13 5 4 00 15 0 2 7 7 20

9 0 4 5 6 20 69 24 6 2 80 8 4 64 6 87

7 1 5 5 5 81 7 0 1 1 9 06 5 1 1 0 9 17

540 0 128 6 -50 46 0 13 1 4 06 10 5 3 0 7 01

8 1 6 4 5 49 6 1 407 1 80

21 0 11 7 4 30 6 9 8 9 74

(1 0 Meter) Light Peloent Ext Q)ef

490 0 1167 - 15 55 0 13 8 1 98 14 4 2 6 3 64

8 4 4 2 3 17 6 6 23 6 1 45 8 3 63 8 45 8 8 11 0 2 21 7 0 54 2 92 6 9 1 1 4 55 5 3 1 1 4 55 4 6 5 5 28

52 0 12 4 2 09 41 0 117 2 14

350 0 100 0 00 8 4 6 7 2 71 6 1 407 90 7 0 25 9 1 35 6 9 4 6 3 08 7 0 3 9 3 25 7 5 8 4 79 4 8 7 500 4 0 3 578

Tabl e t

Run Stat i on - - _ - - -

1 7 2 7 3 7 4 7 5 7

6 7 7 7 8 7 9 7

1 0 7 1 1 7 1 2 7 13 7 14 7 IS 7 16 7 1 7 7

1 8 7 19 7 20 7 2 1 7 22 7 23 7 24 7

1 8 2 8 3 8 4 8

5 8 6 8 7 8 8 8 9 8

1 0 8 1 1 8 1 2 8 1 3 8 14 8 1 5 8

01 sso 1 ved oxygen va 1 ues expressed as percentages of s aturat i on for each stat i on over the 24 hour mon tori ng peri od

Percent Saturati on - Di ssol ved Oxygen T i me Surface Mid Bottom

- - - - - - - - - - - - _ - - -

1340 1 1 1 25 96 1 5 1 2 1 505 89 03 87 4 86 8 1608 10 1 38 98 8 79 6 1 708 106 33 94 8 82 0 1800 92 07 92 1 89 5

1908 92 24 9 1 0 84 5 N I GHT 2008 85 83 76 9 76 9 2 1 05 75 45 76 7 76 7 2200 95 23 94 0 88 9 2300 83 80 83 8 82 5 2346 88 40 79 6 72 0 0049 106 65 1 04 1 97 8 0220 109 19 1 1 7 7 1 1 5 1 0333 60 73 60 7 60 7 04 1 2 54 1 1 5 1 6 60 4 0500 59 14 57 9 56 6 0600 46 14 47 2 47 0

0700 39 9 1 38 7 39 9 DAY 0823 43 65 4 1 2 0906 67 34 57 4 1005 58 61 58 0 53 6 1 105 79 28 78 0 62 6 1 21 3 139 67 66 3 42 6 1 3 10 1 05 01 53 8

1353 75 18 74 2 74 0 1 522 88 39 87 1 87 1 1627 93 68 93 7 93 7

89 67 9 1 0 9 1 0

1827 89 51 93 4 93 4 N I GHT 1 934 86 96 85 7 83 1 2024 83 27 8 1 7 80 4 2 1 24 73 64 73 6 73 6 22 14 76 18 74 9 72 4 231 3 101 58 92 7 76 2 2402 88 40 75 8 74 5 0 108 93 12 94 4 74 2 0304 69 21 69 2 65 4 0346 57 88 62 9 62 9 0426 56 12 55 4 54 1

Tabl e 84 cont i nued

Run Stat i on

16 8

1 7 8 18 8 1 9 8 20 8 2 1 8 22 8 23 8 24 8

1 9 2 9 3 9 4 9

5 9 6 9 7 9 8 9 9 9

10 9 1 1 9 1 2 9 13 9 14 9 1 5 9 16 9

1 7 9 18 9 1 9 9 20 9 2 1 9 22 9 23 9 24 9

1 10 2 10 3 1 0 4 10

Percent Saturati on - Di ssol ved Oxygen T i me Surface M id Bottom

051 7 62 35 60 4 60 4

06 12 54 67 59 9 51 1 0720 45 97 34 9 32 4 0835 36 16 34 9 0920 29 82 29 8 29 2 1020 6 1 73 60 5 60 5 1 1 25 73 84 71 3 68 8 1232 71 73 68 0 68 0 1323 80 97 79 7

1409 52 85 51 8 51 6 1539 79 36 73 0 73 6

87 77 85 2 87 8 1 742 65 67 66 9 65 7

1848 69 83 67 3 68 6 1953 82 53 78 7 77 5 2040 82 53 80 0 76 2 2 142 94 38 95 6 95 6 2230 84 3 1 83 1 80 5 2327 69 2 1 7 1 7 57 9 2420 88 08 47 8 85 6 0127 1 13 25 109 5 107 0 03 18 56 42 56 4 56 4 0358 44 89 44 3 49 3 0439 4 1 00 44 9 37 4 0535 45 52 46 1 42 4

0624 45 10 42 2 4 1 6 0742 25 95 24 9 24 9 0850 21 0 1 1 7 3 0926 29 66 26 0 26 0 1036 54 67 61 5 58 4 1 145 69 83 68 0 59 9 1 25 1 7 5 50 70 5 1340 88 56 84 3

14 19 74 04 66 6 69 2 1 5 14 101 20 101 2 7 5 6 1 6 18 1 14 22 93 7 75 7 1 7 16 83 42 80 8 83 4

DAY

N IGHT

DAY

Tabl e SA conti nued

Run Stat i on

5 1 0 6 10 7 1 0 8 1 0 9 1 0

1 0 1 0 1 1 1 0 1 2 10 1 3 10 14 10 1 5 1 0 1 6 1 0 1 7 1 0

1 8 1 0 19 10 20 1 0 2 1 1 0 22 10 23 1 0 24 10

1 1 1 2 1 1 3 1 1 4 1 1

5 1 1 6 1 1 7 1 1 8 1 1 9 1 1

1 0 1 1 1 1 1 1 1 2 1 1 1 3 1 1 1 4 1 1 1 5 1 1 1 6 1 1

1 7 1 1 18 1 1 19 1 1 20 1 1

Percent Saturat i on - Di ssol ved Oxygen T ime Surface Hi d Bottom

18 15 1 12 73 103 8 76 9 192 1 83 27 87 1 79 4 201 7 76 86 76 6 75 3 2 1 1 3 54 60 53 3 57 5 2207 41 68 54 6 50 8 2305 52 06 58 8 53 8 2355 57 14 69 8 60 9 0057 1 04 63 1 03 4 1 02 1 0247 79 28 89 8 92 4 0338 54 87 57 9 57 3 041 8 52 38 54 1 55 4 0508 5 1 59 49 1 49 7 0605 45 97 44 9 45 1

07 1 2 48 46 48 6 5 1 3 0828 59 02 49 9 09 1 2 64 22 59 9 5 1 1 10 10 79 8 1 47 4 36 2 1 1 12 1 13 86 53 6 44 9 1 220 142 1 7 73 0 59 1 1 3 16 132 52 36 3

1455 102 1 2 66 4 67 0 1 528 1 08 89 76 6 76 6 1641 1 10 1 7 73 0 64 1 1 732 1 1 5 29 84 5 83 3

82 53 87 1 84 5 1938 83 80 80 0 76 2 2029 69 83 73 6 7 1 1 2130 7 1 10 70 2 70 2 2220 64 75 63 5 62 2 23 18 74 51 69 8 59 4 2408 78 02 74 4 75 6 0 1 16 89 34 86 8 80 5 03 1 0 52 66 54 1 55 4 0350 47 02 46 6 50 3 0430 45 30 44 0 44 0 0524 37 07 36 8 37 5

061 7 34 60 33 5 37 4 0729 50 94 5 1 1 53 0 0841 72 69 64 2 0926 80 76 67 1 6 1 5

N IGHT

DAY

N I GHT

DAY

Tabl e SA con t i nued

Run Stati on

2 1 1 1 22 1 1 23 1 1 24 1 1

1 1 2 2 1 2 3 1 2 4 1 2

5 1 2 6 1 2 7 1 2 8 1 2 9 1 2

10 12 1 1 1 2 1 2 1 2 1 3 1 2 1 4 1 2 1 5 1 2 16 1 2

1 7 1 2 18 12 19 12 20 12 2 1 1 2 2 2 1 2 23 1 2 2 4 1 2

Percent Saturat ion - D i s sol ved Oxygen Ti me Surface Mid Bottom

1 026 89 79 7 1 1 59 9 1 13 1 174 22 1 00 7 85 1 1 238 201 84 93 6 84 3 1329 183 50 80 5

1 433 56 93 27 9 24 1 1 546 82 53 71 5 52 1

10 1 76 57 1 50 8 7 1 98 62 2 5 0

1 857 58 41 55 9 55 9 1957 60 40 59 1 60 4 2045 56 73 63 5 8 8 2 148 99 41 87 1 40 3 2234 49 52 49 5 37 8 2333 78 02 65 4 37 8 2426 72 98 69 2 26 4 0133 91 86 94 4 50 3 0322 5 1 13 49 9 1 1 3 040 1 44 73 44 3 1 2 5 0443 32 3 1 33 7 30 0 0542 29 3 1 28 7 27 4

0629 34 60 3 1 1 28 7 0746 1 3 67 9 0855 19 77 8 7 094 1 19 77 1 6 1 6 2 1045 86 36 27 3 43 5 1 150 1 16 39 44 7 36 0 1 255 80 28 29 9 1344 1 30 38 62 0

NI GHT

DAY

Table 6 5

surface

Midlle

Bottan

X

Sd

Die net production (P i = 00 CNer 24 hrl for each station expressed as parts per millim dissolved equivalent to an oxygen per m3 of water) bull

Harvest Area Olntrol Site Oerall

7 8 9 S d 10 11 12 S d S d

-0 4 0 5 2 8 0 96 1 65 4 6 6 0 1 8 4 1 2 1 2 5 2 4

-3 8 -0 1 1 3 -0 87 2 64 -0 3 0 9 2 6 1 1 1 5 0 1 2 2

0 3 0 5 2 6 1 13 1 27 -2 5 1 2 0 5 -0 3 2 0 04 1 7

-1 3 0 3 2 2 0 4 1 9 0 6 2 7 1 6

2 2 0 3 0 8 3 6 2 9 1 1

Table 6 6 Dlytime net productioo (00 sunrise to sunset) tqgt ani net night time respiratioo (00 sunset to sunrise) bottan for eadl statioo expressed as IPD productionutilization

Harvest Area CCXltrol site OVerall

7 8 9 X S d 10 11 12 S d x S d

surface 3 1 2 5 4 4 3 3 1 0 7 0 12 0 5 2 8 1 3 5 5 7 3 5

Miane -03 2 2 2 9 1 6 1 7 2 1 4 6 5 2 4 0 1 6 2 8 2 0

Bottan 3 6 2 8 4 4 3 6 0 8 0 1 4 7 -1 3 1 2 3 1 2 4 2 4

x 2 1 2 5 3 9 2 8 1 4 3 1 7 1 3 0 4 4 3 9 3 6 3 0

S d 2 1 0 3 0 9 3 6 4 2 3 8

Net Night Time Respiration

Harvest Area Cbntrol site OVerall

7 8 9 Sd 10 11 12 x Sd S d

surface -3 5 -2 0 -1 6 -2 4 1 0 -2 4 -6 0 -3 4 -3 9 1 9 -3 2 1 6

Miane -3 5 -2 3 -1 6 -2 5 1 0 -2 4 -3 7 -2 6 -2 9 07 -2 7 0 8

Bottan -3 3 -2 3 -1 8 -2 5 0 8 -2 6 -3 5 1 8 -1 4 2 8 -2 0 1 9

x -3 4 -2 2 -1 7 -2 4 0 8 -2 5 -4 4 -14 -2 8 2 0 -2 6 1 5

Sd 0 1 0 2 0 1 0 1 1 4 2 8

Table 6 7 Estimates of gross primary production () for each station

Harvest Area COntrol site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -3 9 -1 5 1 2 -1 4 2 3 2 1 0 0 -1 6 0 5 1 6 -07 2 2

Middle -7 3 -2 4 -0 3 -3 3 3 6 -2 7 -2 S 0 0 -l o S 1 6 -2 6 2 6

Bottan -3 0 -l o S O S -1 3 1 9 0 0 -2 3 2 3 0 0 2 3 -07 2 0

-x -4 7 -1 9 0 6 -2 0 2 6 -0 2 -1 7 0 2 -0 6 1 9 -1 3 2 3

S d 2 3 0 5 O S 2 4 1 5 2 0

Table 6 8 Estimates of total respiration for a 24 hem period for each amptatioo

Harvest Area Control site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -7 0 -4 0 -3 2 -4 7 2 0 -4 S -12 0 -6 S -7 9 3 7 -6 3 3 2

Middle -7 0 -4 6 -3 2 -4 9 1 9 -4 S -7 4 -5 2 -5 S 1 4 -5 4 1 6

Bottan -6 6 -4 6 -3 6 -4 9 1 5 -5 2 -7 0 3 6 -2 9 5 7 -3 9 3 4

-x -6 9 -4 4 3 3 -4 S 1 6 -4 9 -S S -2 S -5 5 4 1 -5 2 3 0

Sd 0 2 0 3 0 2 0 2 2 S 5 6

c=J H A R V E S T I N G T R A N S E C T S

11 E X F E R I M E N T A L T R A N S E C T S

A F F R O X I M A T E W E E D L I N E

I

t middot

I I I I I I I I 1 5

gt-[ 0 r- 0 Z I LU J LU deg 1 00 o a CIl I IU 0 O LU 0( W J X IJ deg I

LAKE OKEECHOBEE

o rum 9 i

-

N O R T H L A K E

S H O A L

F i g ure 6 1 Loc a t i on o f s i x s ta t i on s s amp l ed for commu n i ty meta bo l i sm

5 2 o l c nso on y L e l i cr th ud te o

D i s s o l ve d O xyg e n - S u rfa c e 1 6---------------------------------------------------------- H a rvested

Veg etated

1 2

4

0 0 0 0 0 0 0 0 0 0 0 0 N 00 I) -- N 0 0 -

Ti m e

Figure 6 3 Surface oxygen values over the 2 4 hour mon itoring period for a l l s ix mon itoring stat ions

D i s s o lv e d O xyg e n - Botto m 1 0-----------------------------------------------------------

8

6

4

2

a a a CI

a a CI a

Ti m e

a a co a

a a I) -

H a rvested

Veg etated

Figure 6 4 Bottom dissolved oxygen values over the 2 4 hour monitoring period for a l l s ix mon itor ing s tat ions

M e a n D i s s o l v e d O xyg e n 1 2--------------------------------------------------------

1 0

8

CJ1 6 E

4

2

0 0 0 0 0 0 0 0 0 0 0 r 0 N to I) - N 0 0 -

Ti m e

H a rvested

Veg etated

F igure 6 5 Mean surface d i ssolved oxygen for harvested versus control stat i ons

VII SEDIMENT CHEMI STRY

V I I A INTRODUCTION

Analyses of nutri ent content of the sed i ments of lake Okeechobee

i nd i cate that more than 35 of the phosphorus and more than 20 of the

n i trogen l oad to the l ake rema i ns wi thi n the l ake e i ther i n the

sed i ments or i n assoc i at i on wi th bi ol og i cal materi al wh i ch contri butes to

the detri tal port i on of the sed i ments Trans fer of water col umn

phosphorus to sed i ment appears to be extremely rap i d i n shal l ow areas

wi th more than 50 of amounts added to the water be i ng sequestered by

sed i ment wi th i n 10 days

Ut i l i zati on of sed i ment nutri ents has been demon strated for rooted

submerged macrophytes For phosphorus uptake by Euras i an mi 1 fo i l i n

part i cul ar sed i ment uptake i s preferent i al unt i l water col umn

concentrat i ons exceed a threshol d val ue Sed i ment chemi stri es may

demonstrate measurabl e d i fferences i n areas where Hydri l l a has been

harvested and i s act i vel y regrowi ng al though these changes i f detected

s houl d be sl i ght i n rel ati on to bul k concentrat i ons and shou l d remai n

fa i rly l oc al i zed

Basel i ne sed i ment anal ysi s i s underway to asses s the comparabi l i ty

of control and harvested areas and can resol ve questi ons about gross

vari ati on s i n substratum that coul d substant i al l y affect regrowth of

Hydri l l a The same n i ne (9 ) control stat i ons i denti fi ed i n the water

qual i ty task are be i ng sampl ed together wi th three ( 3 ) stat ions i n the

experi mental transect

V I I B METHODS

V I I I B 1 Sampl i ng

The Basel i ne and Fi rst Post Operat i onal tasks of sed i ment

chemi stry were conducted concurrentl y on November 2 1987 between 0830

and 1600 hrs Duri ng thi s sampl i ng effort there were NE wi nds of 1 5 -

7- 1

20 kts a 2 ft chop i n exposed areas ( Stat i on 13 ) and i ntermi ttent ra i n

squal l s throughout the day

Core sampl es were col l ected i n tr i pl i cate to permi t stat i st i cal

ana l yses from each of 12 stat i ons ( F i gure 7 1 ) u s i ng a boat operated

p i ston - type corer approx imately 7 6cm i n d i ameter equ i pped wi th a check

val ve to rel ease overl yi ng water and a serrated edge to penetrate the

detri tal l ayer ( F i gure 7 2 ) Maxi mum core depth was 20 -25 cm as a very

hard substratum was encountered bel ow 15-20cm of sed i ment Al l cores

penetrated to a sed i ment depth of at l east 1 5cm Us i ng a Beckman 21 i n

1i1Y meter and an i on - spec i fi c probe oxi dat i on -reduct i on potent i al was

measured through ports i n the sampl er at 2cm Scm and 1 5cm hori zon s

wh i l e the sed i ment remai ned i n the corer After measurement of redox

potent i al s the sed i ment was extruded i nto a pl ast i c tub Promi nent

hori zons were noted and any overl y i ng detr itus and rh i zomes were removed

The sed i ment above 15cm was then wel l m i xed transferred to pol yethyl ene

conta i ners and ma i ntai ned on i ce for transport to MML

VI I B 2 Anal Ys i s

A total of 36 cores were processed Total Kje ldahl n i trogen and

total phosphoru s were anal yzed from the f i el d-mo i st sampl es (ma i nta i ned

at 40C ) w i t h i n one week of col l ect i on Methods uti l i zed were from Pl umb

( 1981 ) Kjel dahl d i gest i on i n a bl ock d i gester of 0 5 -2 0g of sed i ment

was fol l owed by sampl e reconsti tut i on automated d i l ut i on and

col or i metr i c determi nat i on of ammoni a and phosphate by Techn i con

AutoAnal yzer I I The resul tant n i trogen and phosphoru s concentrati ons

were converted to a dry we i ght bas i s u s i ng percent mo i sture

determi nat i ons and d i gested sampl e we i ghts

Percent mo i sture was determi ned on al l sampl es al so accord i ng to

methods g i ven in the above reference Sampl es were dri ed at 103 - 1050C

and the dri ed mater i al empl oyed i n percent organ i cs and potass i um

anal yses Procedures for the potass i um anal ysi s are deri ved from the

AOAC Methods of Anal ys i s 13th Ed i t i on 1 980 Less than L Og of dri ed

ground sed i ment was d i gested wi th perchl ori c and hydrofl uor i c ac i ds

d i l uted and anal yzed by atom i c absorpti on

7-2

Gra i n s i ze anal yses were performed on the sed i ment fract i on and

i ncl uded dry s i ev i ng through whol e phi s i ze s i eves together wi th p i pette

anal ys i s and s i ze fract i onat i on of the ltO 063nvn materi al Gra i n s i ze

d i stri but i ons and descri pt i ve stat i st i cs (mean med i an gra i n s i ze

sort i ng skewness and kurtosi s ) were cal cul ated

VI I C INTERIM RESULTS AND DISCUSSION

Tabl es 7 1 l i sts stat i on means of sel ected parameters for sed i ment

sampl es col l ected on November 2 1987 Append i x 7A conta i n s al l

i nd i v i dual anal yt i cal resul ts Al l resul ts are on the basi s of dry

we i ghts and gra i n s i ze i n format i on i s presented i n ph i un i ts ( the

negat i ve l og base 2 of the part i cl e d i ameter i n mi l l i meters )

Measurements of oxidat i on -reduct i on potent i al ( ORP) were corrected to a

standard hydrogen el ectrode and appear i n mi l l i vol t s

Sed iments across the study s i te were remarkabl e for the

heterogenei ty between stat i on s and to onl y a sl i ght1y l esser degree

between the repl i cates at a s 1 ngl e stat i on I n phys i cal appearance

i nd i v i dual sampl es ranged from a dark organ i c and sl i ght ly gel at i nous

con s i stency ( Stat i on 1 2 ) to a grey fi ne textured cl ay s i zed materi al

(Stat i on 2 ) A shel l hash was al so observed in a d i screte l ayer bel ow 15

cm at Stat i on 1 6 Not al l stat i on s or even al l repl i cates at a stat i on

conta i ned v i s i bl e hori zons Root fragment s were present i n many core

sect i on s typi cal l y above 5 cm The detri tal l ayer of unconsol i dated

decompos i ng but recogn i zab1 e vegetat i on fragments was general l y 1 ess

than 2 cm t h i c k and was absent approximately 50 of the t i me The

predomi n ant materi al at the s i t e coul d be descri bed as a fi ne textured

dark grey or brown sand s i zed fracti on Tabl e 7 2 l i sts the cores and

qual i tat i ve fiel d notes descri bi ng them

Intra- stat i on vari at i on i s al so apparent i n the ORP data large

standard dev i at i ons make the detect i on of d i fferences between stat i ons

d i ffi cul t because a d i fference between means of over 200 mv i s requ i red

before stat i ons cou l d be con s i dered to be s i gn i fi cant l y d i fferent at any

one dept h Cons ideri ng the s i te as a whol e average potent i al s at 2 5

and 1 5 cm were 1 22 95 and 83 mv respect i vel y Sul fi des were present i n

7 - 3

some sampl es ( qual i tat i ve determi nat i on ) predomi nant l y those wi th

v i s i bl e vegetat i on fragments

Combi ned resul ts from the study s i te i nd i cated sed iments conta i ned

approximate l y 4 fi ne sand ( 0 1 25 to 0 25 mm part i cl e s i ze d i ameter) and

20 very fi ne sand ( 0 0625 to 0 125 mm di ameter) by we i ght Sampl es

averaged s l i ghtly over 3 s i l t-cl ay content ( l ess than 0 0625 mm

d i ameter) wi th Stat i ons 2 1 5 and 1 2 havi ng more than 10 s i l t -c l ay

Percent organ i c content (determi ned by i gn i t i on ) was typi cal l y l ow

averag i ng 0 7 wi th most repl i cates between 0 3 and 1 0 Stat i ons 2

1 2 1 3 1 5 and 1 6 had more than 1 organ i c content and Stat i on 1 3 had

1 6 organ i c content

Al most 6 of the sed iment was i n granul es ( l arger than 2mm) Mean

and medi an part i cl e s i ze expressed i n phi un i ts were 2 28 and 2 3 5

respect i ve l y As a whol e sampl es were moderatel y t o poorly sorted

( st andard dev i ati ons were h i gh ) and sort i ng coeffi c i ents were between

0 70 and 2 00 In compl ement measures of kurtosi s ( the degree of spread

i n the t ai l s of i nd i v i dual frequency di str i but i on s ) averaged 1 27 Most

i nd i v i du al sampl es ranged between 1 00 and 1 40 wh i ch i s normal to

1 eptokurt i c Di stri but i ons contai ned a sl i ght excess of fi ne materi al and

an average skewness coeffi c i ent of -0 03 I nd i vidual skewness val ues

were predomi nantl y between -0 10 to 0 10 ph i Percent mo i sture averaged

approxi mately 25 and was s l i ght ly h igher at those stat i ons wi th hi gher

percent organ i c content ( Stat ion 12 and 13 contai ned 34 and 30 moi sture

respect i vely)

Total phosphorus content of the sed iments was not excess i ve and

averaged 0 08 mgg across the study s i te Analyses of vari ance detected

no s i gn i fi cant d i fferences between stat i ons for total phosphorus content

e i t her by stat i ons or by treatments Vari abi l i ty between stat i on

repl i cates requi red stat i on means to d i ffer by over 0 07 mgg before

d i fferences were s i g n i fi cant The hi ghest stat i on means were sl ight1 y

greater than 0 1 mgg at Stat i ons 1 1 2 and 13 wh i l e at Stat i ons 8 and 9

concentrati ons were both l ess than 0 06 mgg

Total Kjel dah1 n i trogen al so di spl ayed the same heterogenei ty as

other sed iment parameters The s i te average of 0 27 mgg compares

unfavorabl y wi th the 0 45 mgg requi red for s i gn i fi cant stati on to

7-4

stat i on d i fferences Desp i te th i s several stat i ons d i d exh i bi t

d i fferences Stat i ons 1 2 and 1 3 be i ng s i gni fi cantly h i gher than many

others wi th 0 66 and 0 64 mgg respect ivel y (These two stat i ons were

the same two contai n i ng the h i ghest percentages of organ i cs ) Stat i ons

8 9 10 and 11 al l had concentrat i ons l ess than 0 1 5 mgg al though no

d i fferences were attri butabl e to harvest i mpacts

Potas si um content averaged 0 49 mgg across the s i te wi th Stat i on

1 3 be i ng noteworthy for l evel s of 1 28 mgg Val ues be l ow 0 4 mgg were

recorded at Stati ons 2 3 1 1 and 16 Only Stat i on 13 was s i gn i fi cantly

d i fferent and from al l rema i n i ng stat i ons To be s i gn i fi can t stat i ons

means needed to d i ffer by 0 35 mgg or greater due to the wi th i n stat i on

vari abi l i ty

N i trate -n i tri te -n i trogen content of the sed iments was ch i efl y

remarkabl e for the extremely l ow l evel s The average contri but i on t o the

total n i trogen profi l e was l ess than 0 4 and the hi ghest concentrat i on

observed at Stat i on 8 was onl y 0 001 mgg or about 1 of the total

Stat i on 8 was s i gn i fi cant l y d i fferent from 2 7 and 1 0 but no

d i fferences attri butabl e to treatment were apparent

Rat i os of sed i ment total n i trogen to total phosphorous (TN TP)

were cal cul ated on a we i ght to we ight bas i s and stat i on means are

presented i n Tabl e 7 3 Stat i on means ranged from 1 7 to 6 1 ( s i te

average of 3 1 ) i n compari son to water col umn TN TP rat i os of

approxi matel y 17 (Sect i on I V WATER QUALITY IMPACTS ) over the course of

the study and vegetat i on rat i os (Sect i on I I I BIOMASS ) of approxi matel y

1 1 Those stati ons wi th the hi gher percentages of organ i cs al so recorded

h i gher TN TP rat i os The i mpl i cat i on i s that n i trogen i s preferent i al ly

mobi l i zed from the sed iments ei ther by preferent i al uptake of the

i norgan i c n i trogen decompos i t i on products or by the more refractory

nature of phosphorous Th i s i s i n compl ement to the n i trogen - l imi tat i on

apparent i n the water col umn at the study s i te

VI I D QUALITY ASSURANCE

Tabl e 7 4 deta i l s the prec l s l on and accuracy resul ts obtai ned

duri ng the anal ys i s of sed i ment from Lake Okeechobee Al l data sets were

7 - 5

generated wi th suffi c i ent numbers of dupl i cates and sp i ke recoveri es

wi th i n the target l i mits spec i fi ed

VI I E CONCLUSIONS AND RECOMMENDATIONS

Sed iments i n the study area were extremely heterogeneous both

between and wi th i n stat i ons In phys i cal appearance these ranged from a

fi ne-gra i ned grey cl ay to a gel at i nous organ i c materi al The overl yi ng

detr i tal l ayer ( not i ncl uded i n chemi cal analyse s ) was typ i ca l l y l ess

than 2 cm th i ck i f present As a resu l t of wi th i n stati on vari at i on few

s t at i on - to - s t at i on d i fferences were judged to be stat i sti cal l y

s i gn i fi cant

Ni trogen phosphorous and organ i c contents were l ow overal l and

fi ne to very fi ne sands were the predomi nant sedi ments s i zes

Phosphorous content averaged 0 08 mgg (dry wei ght ) and n i trogen content

averaged 0 27 mgg N i trate-n i tri te content of the sed i ments represented

l ess than 1 of the total present Potass i um content averaged 0 49 mgg

Stat i ons contai n i ng h igher percentages of organ i c s were al so those

el evated for n i trogen content ( Stat i ons 12 and 1 3 ) Sed i ment averages of

total n i trogen phosphorous rat i os were only sl i ghtl y over 3 0 i n contrast

to water col umn TN TP rat i os averag i ng 17 and b i omass TN TP rat i os of 1 1

Th i s wou l d i mp ly that n i trogen i s e i ther ut i l i zed preferent i al l y andor

that phosphorou s i s more refractory As the water qual i ty i mpacts

sect i on of th i s report found the water col umn to be n i trogen-l i mi ted

based on i norgan i c d i ssol ved nutri ent spec i es the assumpt i on i s that the

n i trogen compounds rel eased by decompos i ng organ i c matter i n the

sed i ments are rapi dl y uti l i zed

Because sed iment heterogene i ty prevented detect i on of sed i ment

chemi stry di fferences between harvested and control areas and because

n i trate -n i tri te-n i trogen represented such a smal l fracti on of the total

present recommendati ons i ncl ude a) i ncrease the col l ect i on of sed i ment

cores from three ( 3 ) to fi ve ( 5 ) b) ana1 yzi ng total Kje 1dah1 n i trogen

and total phosphorus on l y on the two add i t i onal cores Thi s i ncrease i n

rep1 i cates per stat i on shoul d permi t detect i on of d i fferences at l ower

concentrat i on s and could be coupl ed wi th vegetat i ve surveys for

7 - 6

i nformati on on regrowth The support for th i s proposed effort coul d be

obta i ned by del et i on of oxidat i on -reduct i on potent i al and n i trateshy

n i tri te - n i trogen determi n at i on s at al l stat i on s

7 - 7

Table 7 1 Sediment dlemisby station means Lake OksectdJee NovElJi)er 1987

Total Nitrate- Median Kjeldahl Nitrite Total Grain emgt emgt emgt Nitrogen NitJt)gen Hlosphorus kJtassium Size silt-

STATIOO (Dgq) (Dgq) (Dgq) (Dgq) ltJisture organics (pU) Clay 2an SaD 15aD

1 0 24 0 0008 0 11 0 59 25 7 0 5 2 72 2 5 - 7 12 41

2 0 16 0 0003 0 06 0 39 22 1 1 1 2 4 5 15 2 124 96 84

3 0 19 0 0006 0 07 0 38 23 9 0 5 1 93 1 6 201 184 115

7 0 23 0 0003 0 09 0 45 20 1 0 6 1 73 2 1 214 215 -145

8 0 11 0 0012 0 05 0 28 22 5 0 3 2 47 1 4 85 28 48

9 0 09 0 0006 0 05 0 42 23 5 0 2 2 58 0 9 104 65 81

10 0 14 0 0003 0 07 0 49 23 2 0 4 2 42 0 6 151 135 181

11 0 11 0 0008 0 05 0 33 22 9 0 3 2 44 0 6 69 38 38

12 0 66 0 0007 0 12 0 47 34 0 1 2 2 46 5 9 85 90 110

13 0 64 0 0008 0 11 1 28 30 6 1 6 3 01 3 5 110 112 8

15 0 25 0 0005 0 10 0 44 24 8 1 0 1 76 7 1 116 51 49

16 0 42 0 0008 0 07 0 35 26 6 0 8 2 25 2 3 209 112 92

Table 7 2

STATION

1

2

3

7

8

9

10

11

12

13

15

16

Sediment core descriptions lake Okeecbdlee Naveniler 1987

REPLICATE

1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J

CDRE DESCRIPIIONS

lBrk in oolor m horizaS t UI1CXlnSOlidated lBrk in oolor m horizaS t UI1CXlnSOlidated ptrk very urplOSOlidated gray sani below 7 gn lBrk in oolor gray clay below 15 5 an roots tubers lBrk in oolor gray clay below 12 an roots tubers [)ark in oolor gray clay below 12 an roots tubers bull

lBrk in oolor m visible horizons lBrk in oolor 5 an horizal roots tubers ptrk in oolor 5 an horizCl1 roots tubers bull lBrk IIDre sani below 6 an lBrk DDre sand below 6 an [)ark JrPre sand below 6 an bull

lBrk brown sand darker in oolor below 5 an lBrk brown sani horizal at 3 an [)ark brown sani horizon at 3 an bull lBrk brown sand gray sand below 6 an roots lBrk brown sand gray sam below 6 an roots ptrk brown sam gray sanl below 6 en roots bull

lBrk sand light colored sam below 7 an fBil roots

lBrk sand light colored sand below 7 an fBil roots [)ark sani light oolored sam below 7 an fBil roots bull

lBrk sediment lighter color below 3 an roots

lBrk sediment lighter oolor below 3 an roots

[)ark sedilrent lighter color below 3 an roots bull Very UI1CXlIIlSOlidated dark sediment gelatinous medium sand below 6 an Very UI1CXlIIlSOlidated dark sec1iment gelatirxlus neiium sand below 6 an Very urpJlSOlidated dark sec1iment gelatinous medium sani below 6 an bull lBrk sediment horizon at 10 an lBrk sediment horizon at 2 an arrl 10 en

Icxsely packed no horizons bull Ioosely packed no horizons lBrk sediment sand horizal 5-10 an gray clay below 10 an ptrk sediITent sand horizon below 5 an gray Clay below 15 an bull Dllk sand lighter sarrl below 8 an roots

No horizons Dirk sarrl lighter sarrl below 5 an shell hash below 15 an roots bull

Tabl e 7 3

Stat i on

1

2

3

7

8

9

10

1 1

1 2

13

15

16

Sed i ment total n i trogen total phosphorus rat i o s Lake Okeechobee November 2 1987

TN TP

I SO

2 4 1 0

2 6 0 7

3 0 1 2

2 4 0 7

2 0 1 5

1 7 0 5

2 0 0 8

2 2 0 5

5 3 1 6

6 1 3 9

3 1 2 2

6 0 1 4

Table 7 4 sediJnent analyses quality assurarxe targets am results Lake Okeecildlee

Precisian Aauracy Precision Aauracy PARAMErER (x RSO SO) (x RSO SO) (n 2 RSO SO) (n 5( RSO SO)

Total Kjeldahl Nitrogen 8 12 100 9 9 9 8 7 1 6 103 9 5 7

Total IbosJtlOros 7 8 104 12 6 9 3 4 3 6 100 0 5 4

Rgttassium 7 5 100 9 5 5 1 4 8 5 88 1 6 3

Percent loklisture 2 1 6 2 0 1 5

Mean Grain Size 5 3 6 5 6 7 1

Percent Organics 5 3 5 1 7

Percent Siltltlay (pipette analysis) 6 15 0 2 9

10 H A R V E S T I N G T R A N S E C T S

1=== 1 E X P E R I M E N T A L T R A N S E C T S

A P P R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

1

D r n 1 a l e i I U I

lii I

11 middot 5 I I I I

- 1 3

I I r= I

- -- 1 6

N O R T H L A K E

S H O A L

gt- deg 0 zl w =gt w 0 1 III 0 0 ClJ I W 0 o LIJ laquo W J I yen

() 0

1CAl( J bullbull

_ bull Jr-= - _ _ _w _ bull bull -_ bull bull -- u middot _ bull w _ _ raquo -- -

F i gu re 7 1 Sed iment c hemi s try s ta t i o n l ocati o ns November 2 19 87

______ p v C Handle

____ Handle bolt

Valve release

_J4-______ Flapper valve

F i gu re 7 2 Sedi men t cori ng dev i ce

_---- O5mm mesh

--__ -Epoxy sealer

1Jt--______ 75 em aluminum pipe

V I I I BENTH I C FAUNA IMPACTS

VI I I A INTRODUCTION

Benth ic macrofauna ( an i mal s reta i ned on a O Snvn s i eve) can be

separated i nto two bas ic components 1 ) epi fauna con s i st i ng of the

organ i sms l i v i ng on the surface of the substratum and the surfaces of the

macrophytes and detri t al materi al l y i ng on or attached to the substratum

and 2 ) i n fauna con s i st i ng of the organ i sms l i v i ng wi th i n the confi nes of

the substratum The epi fauna of freshwater systems pr i mari ly cons i sts of

mot i l e and sess i l e i n sect s (predomi nantly l arvae) crust aceans and

ga stropod s Ot her groups such as Pl atyhel mi nthes ( fl atworms )

Coel enterata ( hydro i d s ) Pori fera ( sponges ) and H i rud i nea ( l eaches) may

al so be present al though i n fewer numbers The i n fauna are general l y

domi nated by ol i gochaetes i n sect l arvae b i val ve s and cru staceans

Spec i es composi t i on of the benth ic communi ty i s dependent on substrate

type presence or absence of macrophyte s l evel of detri tus and organ i cs

and water qual i ty

Wh i l e there i s l i ttl e i n format i on concern i ng d i rect effects of

phosphoru s n i trates and n i tr i tes on benth i c organ i sms gross organ i c

pol l ut i on ( eutroph i cat i on ) i mpoveri shes the l i ttoral fauna of l akes

Spec i e s of Chi ronomi dae Psychod i dae Cul i c idae and Ol i gochaeta often

predom i n ate under such cond i t i on s whereas spec i es of Tri choptera

Ephemero pte a and other groups typ i cal of unpol l uted cond i ti ons are

usual l y absent ( Resh and Rosenberg 1984 ) The aquat i c vegetat i on i n

normal unpol l uted l akes i s an important source of pri mary product i v i ty

and habi tat for aquat ic i n sects and other i nvertebrates

Benth i c fauna pl ay an i mportant rol e i n the normal breakdown of

detri tal materi al s suppl i ed from both terrestri al and aquat i c sources

I n turn they prov ide an abundant and d i vers i fi ed source of prey i tems

for secondary and terti ary consumer organ i sms such as fi sh frog s

turtl e s crayfi sh etc many o f wh i ch are commerci al l y i mportant to man

Excess i ve amounts of detri tu s as from aquat i c weeds s i gn i fi cantly al ter

the normal benth ic fauna i n favor of spec i es tol erant of l ow l eve l s of

d i s sol ved oxygen h i gh l evel s of fi ne part i cul ates and el evated organ i c

8- 1

compos i t i on The benth i c fauna of Lake Okeechobee general l y exh i bi t l ow

d i vers i ty the domi nant organi sms be i ng ol i gochaetes i nsect l arvae

amph i pods and the pel ecypod Corbicyl a (Dav i s and Marshal l 1975) It i s

expected that both short and l ong term al terat i ons of the benth ic

epi fauna and i nfauna wi l l contri bute to the eval uati on of the success or

fa i l ure of the experi mental treatments ( e g weed harvest i ng) of thi s

study

Chi ronomi d assembl ages have been found to be useful i nd i c ators of

troph i c cond i t i ons and have been used to cl ass i fy l akes ( Saether 1975

1979 ) Warwi ck ( 1980 ) has ass i gned troph i c i ndex numbers to ch i ronomid

assoc i at i ons These assoc i at i ons have been correl ated wi th mean

concen t r at i o ns of tota l phos phorusmean depth or wi th total

chl orophyl l mean depth i n many North Ameri can and European l akes

(W i derhol m 1979 1980 Saether 1980 ) Some aquat i c ol i gochaete spec i es

are al so known to be i nd i cators of substratum and water qual i ty

( Bri n khurst and Jamieson 197 1 ) Spec i es of Tubi f ic i dae are part i cul arl y

cORlllon i n sed i ments exh i bi t i ng h i gh organ i c content and l ow d i ssol ved

oxygen l evel s

V I II B METHODS

V I I I B 1 Study Locat i onExperi mental Design

The experi mental des i gn for the study of benth i c i mpacts i s based

upon compari son of control versus impacted stat i ons Three control

stat i ons were l ocated adjacent to the experimental transect and study

areas ( F i gure 8 1 ) The control stat i ons are essent i al for separat i ng

spat i al and temporal vari at i ons from experimental i mpacts An earl y MML

reconna i ssance survey i n Apri l 1987 i nd i cated the sed i ments of the study

area were rel at i ve ly homogeneous cons i st i ng of fi ne fl occul ent muddy

sands wi th l arge amounts of detri tal materi al Subsequent deta i l ed

sampl i ng efforts have i nd i c ated greater spat i al vari at i on i n sed i ment

types Di ver observat i on s however i nd i cate that the surface sed i ments

( I - Scm) for al l benth i c stat i ons except 12 are general l y s i mi l ar i n

8- 2

texture and appearance These d i fferences are d i scussed 1 ater i n the

report

Basel i ne Study

On August 24 1987 10 days pri or to the actual cutt i ng of the

experimental transect the benth i c stat i on l ocati ons were confi rmed and

sampl ed for basel i ne cond i t i ons A total of 72 s ampl es were col l ected

for macrobenthos and 48 were processed No Hester-Dendy sampl es were

col l ected at thi s t ime

Post -Operat i onal

On September 18 1987 one day after the experi mental transect was

h arvested the fi rst post -harvest benth i c s ampl i ng took pl ace S i nce

weed harvest i ng was expected to exh i bi t the most pronounced effects on

the benthos shortly after harves t stat i ons wl l l be s ampl ed at compl et i on

( t i me 0 ) then agai n at 2 4 6 1 2 1 8 and 24 weeks post-harvest No

gra i n s i ze or percent organ ics sampl es wi l l be taken at these t i mes The

sampl i ng reg i me and rel at i ve age of the stat i ons for each sampl i ng are

i l l ustrated i n F igure 8 2

Hester-Dendy s ampl ers pos i t i oned i mmed i atel y after harvest were

co 1 1 ected at each samp 1 i ng and fresh ones depl oyed at each subsequent

sampl i ng

A second harvest was conducted i n December 1 987 Two add i t i onal

sampl i ng l ocati ons 7A and lOA were establ i shed between stati ons 7 and 8

and 10 and 1 1 respect i vel y for poss i bl e add i t i onal eval uat i on

VI I I B 2 F i el d Col l ect i ons

An i m portant cons i derat i on for properl y sampl i ng benth i c

commun i t i es i s the type o f s ampl i ng dev i ce used Many types o f devi ces

are currentl y i n use and the i r meri ts and drawbacks have been eval uated

(Hol me and Mc Intyre 1984 Pennak 1953 Thayer et al 1975 Tyl er and

Shackl ey 1978 ) Many stud i es have focused excl u s i vel y on the

effect i veness of certai n s ampl ers or have made s i de by s i de compari sons

of several d i fferent sampl ers (Chri st i e 1975 Paterson and Fernando

8-3

1971 Mi l bri nk and Wi ederhol m 1973 ) Cori ng devi ces are presently

con s i dered the most appropri ate method for shal l ow water sampl i ng be i ng

repeated l y quant i tati ve wi th a h i gh l evel of prec i s i on for a vari ety of

bottom types both vegetated and unvegetated Recent l y a comprehen s i ve

compari son of three d i fferent s i zed benth i c corers i nd i cated that

rel ati vel y smal l d i ameter cores are most effi ci ent in sampl i ng benth i c

macrofauna ( Lewi s and Stoner 1981 ) I n contrast most 1 i ghtwei ght

grabs i ncl ud i ng the pet i te Ponar grab (commonl y used i n Fl ori da

freshwater stud i es ) do not penetrate to a uni form depth i n al l substrate

types and may not operate at al l i n dense vegetat i on Th i s observati on

was confi rmed on Apri l 8 1987 duri ng a fi el d reconnai ssance of Lake

Okeechobee by MML personnel A peti te Ponar grab was found unsu i tabl e to

sampl e most areas of the study s i te

Benth i c i nfauna was col l ected us i ng a PVC cori ng devi ce wh i ch

sampl es an area of 45 4 cm2 bull The devi ce i s a mod i fi cat i on of a s i mi l ar

corer devel oped by Ci ty of Tampa personnel to quant i tat i vel y sampl e the

sed i ments of H i l l sborough Bay ( C i ty of Tampa personal commun i cat i on )

The core i s fi tted wi th a one -way check val ve wh i ch reta i ns the sampl e by

suct i on I t i s attached to the end of a l ength of p i pe and i s depl oyed

from the sampl i ng vessel The sampl i ng dev i ce i s easy to operate and

obtai ns a un i form samp l e s i ze for vari ous sed i ment types to depths of

25 ft

Twel ve repl i cate sampl es were col l ected at each stati on Based

upon past experi ence of the study team i t was fel t that 8 or fewer

repl i cates wou l d adequatel y characteri ze the fauna Budget i ng and

manpower esti mates were based upon 8 repl i cate core sampl es at each

stat i on The four rema i n i ng cores were used for backup and archi val

sampl es

Each core was s i eved throug a 0 5mm mesh s i eve ( 35 U S

stand ard ) wh i ch has proved to be of proper s i ze for quant i tati vel y

sampl i ng benthos ( Re i sh 1959 Bi rkett and Mc Intyre 1971 Lewi s and

Stoner 1981 ) Sampl es were s i eved i n the fi el d the an i ma l s were

narcoti zed w i th a 10 magnes i um sul fate sol ut i on and preserved wi th 1 0

buffered formal i n to wh i ch rose bengal sta i n had been added i n order to

fac i l i tate accuracy of sort i ng Sampl es rema i ned i n 10 formal i n for 48 -

8-4

72 hrs to i nsure proper fixat i on they were then transferred to 70

i sopropyl al cohol for storage pri or to l aboratory proces s i ng

VI I I B 3 Laboratory Methods

In the l aboratory al l organi sms were fi rst rough sorted i nto major

taxonomi c groups ( i e ol i gochaetes i nsects mol l uscs crustace a etc )

by use of a 7 -40X stereozoom d i ssect i ng mi croscope Ident i fi cat i ons to

the l owest practi cal taxonomi c l evel (genus and spec i es i n most cases )

was performed by exper i enced taxonomi sts

Mod i fi ed Hester-Dendy art i fi c i al substrate sampl ers were ut i l i zed

to mon i tor epi faunal col on i zati on pri mari l y the aquat i c i nsect l arvae

Th i s method i s approved as an i nvertebrate col l ect i ng tech n i que by the

U S EPA (Weber 1 973 ) and has been sati sfactori l y used by other

i nvesti gators (Tsu i and Breedl ove 1 978 Beak et al 1 973 Ful l ner

1971 ) Two separate sampl ers per stat i on were l eft i n pos i t i on at m id

depth from one macro i nfaunal sampl ing to the next ( e i ther 2 or 6 weeks )

After retri eval the sampl ers were pl aced i nto a 10 buffered formal i n

sol ut i on i n the fi el d for preservat i on of attached fauna I n the

1 aboratory one of each pai r of sampl ers was taken apart and the fauna

scraped from the pl ates then i dent i fi ed to the l owest pract i cal

taxonomi c l evel The second sampl er was used as a backup andor arch i ve

sampl e

Data Anal yses Impact Asses sment

The assessment of env i ronmental i mpacts on the benthos from

spec i fi c d i sturbances (wi th i n reasonabl e constrai nts of a manageabl e and

cost effect i ve sampl i ng program) poses d i ffi cul t stat i st i ca l probl ems

The assessment of effects of an impact by ANOVA or other proced ures of

i nferen t i al stat i st ics cannot be val i dl y used to test for the i mpact of a

po i nt - source of pol l ut i on or i mpact on spec i fi c areas I t can onl y

demonstrate s i gn i fi cant d i fferences between areas wh i ch may often occur

natural l y Therefore the probl em becomes one of eval uati ng recovery by

compari sons of impacted versus non - i mpacted control s i tes Hurl bert

( 1984 ) descri bes i n deta i l the common p i tfal l s made by i nvest igators

8-5

concern i ng the appl i cat i on of conventi onal parametri c stat i st i cs Most

parametric stat i st ics requ i re randoml y appl i ed treatments to mul t i pl e

s i tes that area al so randoml y d i spersed Because such s i tuat i ons are not

read i l y ava i l abl e for envi ronmental i mpact stud i es i t does not

necessari l y fol l ow that envi ronmental impact cannot be rel i abl y measured

Rather a d i fferent approach i s necessary Al l an Stewart -Oaten et al

( 1986 ) descri bed a rat i onal e for the eval uat i on of env i ronmental i mpact

assessment based upon the magn itude of vari ati on between control and

affected areas before and after impact

For any habi tat there are vari ati ons i n spec i es compos i t i on

faunal d i stri but i on gra i n s i ze d i stri but i ons RPD l ayer methane vo ids

etc even over very smal l d i stances In add i t i on temporal changes can

al ter these parameters i n an unpred i ctabl e manner However the

mag n i t ude of the vari at i on of these parameters about a mean val ue wi l l

often be characteri st i c for a habi tat type Furthermore the magni tude

of the vari ati on i s general l y l ow i n very homogeneous areas The

stat i st i cal object i ves of thi s task are to

1 ) Descri be and measure the vari ous sed iment and benth i c faunal

parameters of the study area

2 ) Obtai n an esti mate of the vari at i on of these parameters at

i nd i v i dual stat i ons about the mean val ue for the study area

3 ) Ident i fi cat i on of i mpacted and control stat i ons ( un i mpacted )

4 ) Eval uate the effect of weed harvest by compari ng the control to

i mpacted stat i ons and measuri ng the vari at i on of the sed i ment and

faunal parameters

Anal yses used for the data from the August and October s ampl i ng

peri ods i ncl udes spec i es ri chness (countsstat i on ) faunal dens i t i es (no

organ i smsm2 ) Shannon -Weaver d i vers i ty H ( Shannon and Weaver 1 963 )

P i el ou s equ i tabi l i ty J ( P i el ou 1975 ) Spec i es s aturat i on curves

(Hol me 1953 Gl eason 1922) wi l l be generated to determi ne the

appropri ate number of sampl es necessary to adequatel y descri be the fauna

of each stat i on Upon compl et i on of the project add i t i onal anal yses

wi l l i ncl ude mul t i vari ate quant i fi cat i on and cl uster anal ys i s (Al l en et

8-6

a1 1977 Bl oom et a1 1980 ) and Mori s i ta s i ndex of faunal s i mi l ar i ty

(Mori s i ta 1 959 )

V I I I C INTERIM RESULTS

YI I I C 1 Faunal Compos i t i on

Two sampl i ng peri od s were analyzed for th i s report the basel i ne

sampl i ng event (August 24 1987 ) and a post- harvest i ng sampl i ng event

(October 16 1987 ) Data for the benth i c core analyses are presented

here i n No Hester-Dendy sampl es were col l ected for August and resul ts

for Hester- Dendy anal ys i s for October wi l l be presented i n subsequent

reports

A total of 59 taxa was col l ected duri ng the two sampl i ng peri ods

compri s i ng seven phyl a Arthropoda Annel i d a Mol l usca Hydrozoa

Endoprocta Pl atyhel mi nt hes and Nematoda Tabl e 8 1 l i sts the taxa

recovered duri ng these sampl i ngs in phyl ogenet i c order and the occurrence

at control or harvested stat i on s

The most spec i es ri ch phyl um was Arthropoda composed primari l y of

the subphyl um Insecta pri nc i pal l y the Ch i ronomidae ( Di ptera) represented

by 1 5 tax a Three add i t i onal fami l i es of l arval d i pterans were al so

e n c o u n t e red each re presented by a s i ng1 e taxa Chaoboridae

Ceratopogon i dae and Tabani dae The orders Hemi ptera Tri choptera and

Col l umbo1 a were al l represented by a s i ng l e taxa respect i vel y Other

than the Di ptera only the Odonata was represented by more than one

taxon

The Crustacea were the second most spec i es r ich cl ass of

Arthropod s represented by 4 orders each with a s i ng l e taxon Ostracod a

I sopod a Amph i pod a and Decapod a

The l east abundant cl ass o f arthropods represented by a s i ng l e

taxon Hydracari na was i nfrequentl y encountered

Anne1 i d a ( represented on l y by 01 i gochaetes ) was the second most

spec i es ri ch assembl age Two fami l i es were encountered i n the study

area Nai d i dae was the most d i verse fami ly w ith n i ne taxa The pri mary

mode of reproduct i on for the spec i es i n th i s fam i l y s asexual

8 -7

consequent ly thei r popul at i on s can be very s porad i c i n occurrence

per i od i cal l y resul t i ng i n very h igh numbers

The second fami l y of ol i gochaetes i n the study area Tubi fi c i dae

was compri sed of only two speci es Au1 0dri 1 us piguet i cou l d be

i dent i fi ed from i mmature specimens however the other spec i es

l1mnodril us hoffmeisteri can only be i dent i fi ed as mature i nd i v i dual s

As a resul t the i mmature worms were separated i nto two groups - - those

s pec i mens wi thout cap i 1 1 i form setae and those wi th cap i 1 1 i form s etae

The fi rst group was probably compri sed enti rel y of i mmature l1mndri 1 us

hoffme i steri A1 though no mature spec i mens of the 1 atter group were

encountered they were probabl y I] odri 1 ys tamo1 eton i

Mol l usca was the thi rd most d i verse phyl um represented by s i x

spec i es o f g astropods Al though many of the s ampl es contai ned h i gh

numbers of dead shel l s both bi val ves and gastropods l i ve mol l uscs were

i nfrequentl y encountered

Four mi scel l aneous phyl a were occas i onal l y col l ected Cn i d ari a

and Endoprocta contai ned the col on i al organi sms Cordy1 0ohora 1 acustri s

and Urnatel l a graci l i s wh i ch coul d not be quant i fi ed s o onl y the i r

presence was noted The Phy1 um Nematoda was frequently present i n the

s ampl es and was occas i onal l y the domi nant taxa However because of

the i r smal l s i ze they were general l y cons i dered as me i ofauna and wi l l

not be i ncl uded i n th i s d i scuss i on

VI I I C 2 Compari son of Stat ion Commun i t i es

Three pai rs of stat i ons were s ampl ed The fi rst pa i r (Stat i ons 7

and 10 ) was cl osest to shore Stat i ons 9 and 12 were farthest from s hore

and Stat i ons 8 and 1 1 were i ntermed i ate Each pai r o f stat i ons i ncl uded

a control ( unharvested Stat i ons 10 1 1 1 2 ) and an experimental

( h arvested Stat i ons 7 8 9 ) l ocat i on Tabl e 8 2 summari zes the

commun i ty parameters of each stat i on for both sampl i ng events I ndex

val ues were not computed for stat i ons hav i ng f i ve or fewer taxa

Tabl e 8 3 presents data for each stat i on wi th total counts mean

per repl i cate and i nd i v i dual and cumul ati ve percentage compos i t i on

8-8

Control Transect

Duri ng both samp1 i ng per iods the greatest number of taxa and

h i g hest dens i t i es on the control transect were found at the i nshore

stat i on ( 10 ) and decreased with d i stance from shore At Stat i on 10 the

number of taxa i ncreased sl i ght l y from August to October ( from 18 to 2 1 )

01 i gochaeta was the domi nant taxa fol l owed by Ch i ronomi dae However

the basel i ne sampl i ng peri od exh ib i ted a sl ightly h i g her faunal dens i ty

than the postharvesti ng

The i ntermedi ate stat i on ( 1 1 ) had the second h i ghest number of

taxa and faunal dens i t i es duri ng both sampl i ng peri ods Unl i ke Stat i on

1 0 however both dens i t i es and speci es ri chness i ncreased substant i al l y

from August to October ( from 13 organi sms represented by 4 taxa to 44

organ i sms represented by 1 2 taxa ) 01 igochaetes predomi nated i n both

August and October

The farthest offshore control l ocat i on ( Stat i on 1 2 ) cons i stent l y

exh i b i ted both the l owest dens i t ies and number o f taxa i n the study area

Onl y two taxa were encountered duri ng each s ampl i ng peri od one i nsect

1 arva and one ol i gochaete i n August and 7 ostracods ( Crustacea ) and 6

gastropods i n October However the hi ghest dens i ty of the gastropod

P 1 anorbel l a duryi was found at thi s l ocat i on As d i scussed i n the

Commun i ty Metabol i sm sect i on Stat i on 12 exh i bi ted d i fferences in other

parameters due to a fi ne f1 0ccu1 ant sed i ment

Exper i mental Transect

The experi mental stati ons exh i b i ted the same trend as the control

transect a tendency toward decreased faunal dens i ty and speci es ri chness

with i ncreased d i stance from shore

As i n i ts counterpart ( Control Stat i on 10 ) Stat i on 7 had the

h i ghest number of taxa on i ts respect ive transect duri ng both sampl i ng

events The number of taxa i ncreased substanti a l l y at thi s l ocat i on from

10 i n August to 43 i n October In October th i s stat i on had the h i g hest

number of taxa and dens i ty of any stat i on at any t i me 01 i gochaetes

predomi nated at Stat i on 7 dur i ng both sampl i ng peri ods However wh i l e

c h i ronom ids were absent i n August they represented the second most

abundant and d i verse macro i nvertebrates group i n October In August the

8- 9

spec i es ri chness at control Stat i on 10 was greater ( 18 t axa) than at the

experi mental stat i on 7 ( 10 taxa ) The l ack of i nsect l arvae duri ng

August was respons i bl e for the l ow number of taxa For October however

there were 43 taxa col l ected at Stat i on 7 and only 2 1 at Stat i on 10

The i ntermed i ate stat i on on the experi mental transect ( Stat i on 8 )

refl ected the same trends as i ts correspond i ng control stat i on (Stat i on

1 1 ) the second h i ghest dens i ty and number of taxa on i ts transect duri ng

respect i ve sampl i ng peri ods As at Stat i on 1 1 few taxa were col l ected

i n August wi th a total absence of ch i ronomi d ( i nsect ) l arvae However

i n October the dens i ty and number of taxa i ncreased substant i al l y ( from 3

to 1 9 respect i vely ) pri mari l y d ue to the appearance of chi ronomid

l arvae and an i ncrease in the Nai d i dae (Ol i gochaeta ) popu l at i on I n

August Stati ons 8 and 1 1 had a comparabl e commun i ty structure Because

of the i ncreased number of chi ronomids and ol i gochaetes i n October the

faunal dens i ty at Stat i on 8 was much greater than at Stat i on 1 1 ( 24 1 vs

44 organ i sms )

Stat i on 9 the most offshore l ocat i on cons i stent l y had the l owest

number of taxa on the experi mental transect As wi th the other stati ons

on th i s transect the number of taxa and dens i t i es exh i bi ted a dramat i c

i ncrease from August to October The number of taxa i ncreased from onl y

2 spec i es of ol igochaetes i n August to a commun i ty of 10 taxa domi nated

by ch i ronomids i n October wh i l e th i s stati on s counterpart (Control

Stat i on 12 ) exh i bi ted only a sl i ght change between these samp l i ng events

The sudden occurrence of i nsect l arvae i n October was respons i bl e for the

substant i al i ncrease in faunal den s i ty

V I I I D SUMMARY

1 A total of 59 benth i c macroi nvertebrate taxa was co 1 1 ected

duri ng the basel i ne (August 24 1987 ) and postharvest i ng (October 1 6

1 987 ) s ampl i ng peri ods

2 Ch i ronomi dae ( I nsecta Di ptera) and Ol i gochaeta (Anne l i da )

were the most abundant and d i verse taxa throughout the study area

3 Gastropoda Crustacea and mi scel l aneous I nsecta general l y

compri sed the rema i n i ng taxa

8 - 10

4 Both the control and exper imental transects exh i b i ted a

decrease i n faunal dens i ty and spec i es ri chness wi th i ncreas i ng d i stance

from shore

5 The number of s pec i es and faunal dens i ty general l y i ncreased

at each stat i on between the basel i ne and postharvesti ng sampl i ng per i ods

6 Correspond i ng control and experi mental stat i ons exhi bi ted

s i mi l ar faunal dens i t i es and spec i es ri chness duri ng the basel i ne survey

7 Faunal dens i t i es and s pec i es ri chness were substant i al l y

greater a t the exper i mental stat i ons than a t the i r control counterpart

duri ng the postharvest i ng survey

8 An i ncrease i n the abundance and ri chness of the ch i ronomid

and ol i gochaete commun i t i es was pri mari l y respons i bl e for the changes i n

communi ty structure and abundance between the basel i ne and postharvest i ng

sampl i ng s

8- 1 1

LITERATURE C ITED

Al l en T F H S M Bartel l and J F Koonce 1977 Mul t i p l e stabl e configurat i ons i n ord i nati on of phytopl ankton commun i ty change rates Ecol ogy 58 1 076- 1084

Beak T W T C Gri ffi ng and A G Appl eby 1 973 Use of art i fi c i al substrate sampl ers to assess water pol l ut i on In B i ol og i cal methods for the assessment of water qual i ty Am Soc Test Mat ASTM STP 528 227 -241

B i rkett L and A D Mc Intyre 1971 Treatment and sort i ng of sampl es p 1 56- 168 In N A Hol me and A D Mc Intyre (eds ) Methods for the study of mari ne benthos IBP Handbook No 16 Bl ackwel l Sci ent i fi c Oxford

Bl oom S A S L Santos and J G F i el d 1977 A package of computer programs for benth i c commun i ty anal yses Bul l Mar Sci 27 ( 3 ) 577-580

Bri nkhurst R O and B G H Jami eson 1971 Aquat i c 0 1 i gochaetes of the worl d Uni v of Toronto Press 860 p

Chri st i e N D 1975 Rel ati onsh i p between sed i ment texture speci es ri chness and vol ume of sed i ment sampl ed by a grab Mar Bi ol 30 89-96

Dav i s F E and M L Marshal l 1975 Chemi cal and b i ol og i cal i nvest i gat i ons of Lake Okeechobee January 1973 -June 1974 Interi m Rept Tech Publ 75 - 1 Resource Pl an Dept So Fl a Water Mgmt D i stri ct West Pal m Beach FL

Ful l ner R W 1971 A compari son of macroi nvertebrates col l ected by basket and mod i fi ed mul t i pl e- pl ate sampl ers J Water Pol l Ctrl Fed 43 494 -499

Gl eason H A 1922 On the rel at i on between spec i es and area Ecol ogy 3 1 58- 162

Ho l me N A 1953 The bi omass of the bottom fauna i n the Engl i sh Channel off P l ymouth J Mar Bi ol Assoc ( U Kraquo 32 1 -49

Hol me N A and A D Mc Intyre 1984 Method s for the study of mar i ne benthos I BP Handbook 1 6 Bl ackwel l Sci Publ Oxford 387 p

Hurl bert S H 1 984 Pseudorepl i cat i on and the des i gn of ecol og i cal fi el d experi ments Ecol Monographs 54 187 - 2 1 1

Lewi s F G and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 1 6 - 1 24

Mi l br n k G and T Wi ederhol m 1 973 Sampl i ng effi c i ency of four types of mud bottom sampl ers Oi kos 24 479-4

8- 12

Mor i s i ta M 1959 Measuri ng of i nterspec i fi c assoc i at i on and s i mi l ari ty between commun i t i es Mem Fac Sci Kyushu Un i v Ser e I ( Bi ol ) 3 ( 1 ) 65-80

Paterson G C and C H Fernando 1971 A compari son o f a s i mpl e corer and an Eckman grab for sampl i ng shal l ow-water benthos J F i sh Res Bd Can 28 365-368

Penna k R W 1953 Freshwater 1 nvertebrates o f the Un i ted States Ronal d Press Co NY p 497 -664

P i el ou E C 1975 Ecol og i cal D i vers i ty W i l ey Intersc 1 ence NY 1 65 p

Re i sh D J 1959 A d i scuss i on o f the i mportance of screen s i ze i n wash i ng quant1 tati ve mar1 ne bottom sampl es Ecol ogy 40 307-309

Resh V H and D M Rosenberg ( eds ) 1 984 The Ecol ogy of Aquat i c Insects Praeger Press 625 p

Saether O A 1980 The 1 n fl uence of eutroph i cati on on deep l ake bent h i c i nvertebrate commun i t i es Prog Water Tech 1 2 161 - 180

Saether O A 1 979 Chi ronom1 d communi t i es as water qual i ty i nd i cators Hol arct i c Ecol 2 65-74

Saether O A 1 975 Nearct 1 c ch 1 ronom ids as i nd i cators of l ake typol ogy Internat i onal e Verei negung fur Theoret i sche and Angewandte L i mno l og i e Verhandl ungen 1 9 3 127-3 133

Shannon C E and W Weaver 1 963 The mathemat i cal theory of communi cat 1 0n s Uni v of I l l Press Urban a 1 1 7 p

Thayer G W R B Wi l l i ams T J Pri ce and D R Col by 1 975 A l arge corer for quant i tat i vel y sampl i ng benthos i n shal l ow water L i mnol Oceanogr 20 ( 3 ) 474-481

Tsu i P T P and B W Breedl ove 1978 Use of the mul t i pl e -p l ate sampl er i n b i ol og i cal mon i tori ng of the aquat i c envi ronment Fl a Sc i 4 1 ( 2 ) 1 1 0 - 1 1 6

Tyl er P and S E Shackl ey 1978 Compari son effi c i ency o f the Day and Smi th-Mc i ntyre grabs Estuar Coast Mar Sci 6 439-445

Warwi c k W F 1980 Pasqua Lake southeastern Saskatchewan a prel i mi nary assessment of troph i c status and contami nati on based on the Ch i ronomi dae (D i ptera) p 255-267 In D A Murray ( ed ) Ch i ronom i dae Ecol ogy Systemat i cs Cytol ogy and Phys i ol ogy Oxford Press Pergamon 3 54 p

8- 13

J

t middot I I I r I 1 I I 5 gt-1 deg

I- () j W =gt W Or eo

c=J () deg

H A R V E S T I N G T RA N S E C T S W () ffiITTIill E X P E R IM E N T A L T R A N S E C T S

c[ w laquo W

A P P R O X I MA T E w E E D L I N E J I lt1 1 deg

9

LAKE OKEECHOBEE

N O R T H LAK E S H O A L

F i g u re 8 1 Study s i te s howi ng l ocat i o n of ben thi c samp l i ng s tati o n s

C O NT ROL S T AT I O N S

bull

bull

bull

E X l IM r A L H A R V E S T T R A N S E C T D A Y S

1 4 R E L A T IV E A G F OF S T A T I O N S ( D A Y S P O S T H A R V E ST) -

1 3 ) ) gt- gt gt gt

bull 1 2 1 3 2 6 4 0 5 4 9 6 1 3 8 1 8 0 -

1 I I-1 0

I-9

r- )II-711 ) ) ) 8 8 2 1 3 5 4 9 9 1 1 3 3 1 7 5 bull I-7

I-6

I-5

I-4 ) ) gt- gt- gt- gt-I-3 4 1 7 3 1 4 5 8 7 1 2 9 1 7 1 bull -2

l-I r I I I I I I

2 4 6 1 2 1 8 2 4

P O S T H A R V E S T S A M P L ING

-J (1) - S A M P L I N G T I M E S C A L E ( W E E K S ) w W laquo (I) gt 0 laquo q-en I -

Figure 8-2 S chem a t i c of weed h a rvest tra nsect a n d a s s o c i a t e d b e n t h i c s a mp l i ng s t a t i o n s E i g ht s a mpl i n g e v e n t s a re I nd i c a t e d a s v e r t i c a l l i n e s on h o r i zont a l axi s R e l a t i v e p os t h a rve s t a g e of e a c h s t a t i o n Is pre s e n t e d bull

bull Ind i c a t e s H e s t e r - De nd y r e t r i e v a l S a mp l e rs woul d be p l a c e d I n f i e l d d ur ing t h e p r i o r s a mp l i ng eve n t

Table 8 1 Rlylcqenetic species listixg for all taxa encamtered in oollecticns for AlqUst ani october 1987 frail lake Okeedlclbee Hydrilla remval demonstratioo project site

SPEXIIS

0fIJl1RIA HYIRgtZ01

CDrdylgtpra lacustris Hydra sp

PIATYHEIMINIHES lURBEIlARIA

Dlgesia tigrina NEMAIODA

Nematoda ampW

llNOOIRXTA Urnatella gracilis

K)U1JSCA GAS1K)JOIl

AImioola ampW

Ancylidae ampW

Gyraulus parvus Hydrcbiidae sp A Laevipex fusca Planorbella dutyi

ANNELIDe OLIGOCHAErA NAIDID1ampE

Allonais pectinata Bratislavia unidentata nero diqitata nero furcata nero nivea Naididae sp elinruis Pristina leidyi Pristina lorgiseta Pristina prdxlscidea Stevenoniana trivanlrana

lUBIFICID1ampE lJnietennined sp (wo) Urrletennined sp (with) Aulodrilus piqueti Limncxlrilus hoffmeisteri

X

X

X X

X X X

X

X X X X

X

X

X X X X

X

X X X X

x

X

X

X X

X X X

X

X X

X

X X

x X

X

X

X

X X X X

X

X X X X

X

X X X

X

X X

Table 8 1 oontirrued

ARllroRgtDA ARAaINIIl Hydracarina sp CKJSTACFA

0SIRACX)(li ostracxXJa sp

ISOIODt cyathura polita

AMRIIIODt Hyalella azteca

Palaeoonetes paludosus Palaemonidae sp

COIUMOOIA

Q)lleniJola sp OIXNATA

IJhellulidae Bradwmesia sp

Libellulidae sp ltoenagrianidae COenagrianidae sp

HEHIIIlmA Q)rixidae

Q)rixidae sp TridlocXgtrixa sp

DIPlERA Olaoboridae

Olaeborus pmctipennis Tanypcldinae

Tanypcldinae spp CoelotanyJus spp

Tanmlif 5R) ORIH)CAI)IINAE

Orthocladiinae spp CriCXtotJs spp Thienemanniella spp

Olironaninae sp

x

x x

x

x x

x x

x

x x x

x

x x

x x x

x x x

x

x x x

x

x

Table 8 1 continued

SPECIES

CllilOllCDlS sp Dicroterrlipes sp nr Einfeldia spa Paradlironcrrus sp Iblypedilum spa

TANYlARSINAE Cladgtanytarsus sp Nimbocera spa Rheotanytarsus sp Tanytarsus spa

CERAIDKXnUDtE CeratqxxJonidae sp

TABANIDAE Tabanidae spa

lRIaDPlERA IEPIOCERIDAE

Peoetis sw PlERA

caenis sp

x

X

X

x

X

X X

X

x X X X X

X X X X

X

X

X

Table 8 2 SUDIDary of OmIImity Parameters for bIo sauplinJ events at thJee CXlIltrol statioos (7 8 9) anl thJee harvested statialS (10 11 U) for the stuly area

lOIAL Nl OF em SffANNCN sm TAXA IND rrJ2 -wEAVER SIMPSCN GlNI

08-24-87 7 10 147 4047 l o ll 0 48 1 80 504 496 08-24-87 8 3 5 138 NA NA NA NA NA 08-24-87 9 2 6 165 NA NA NA NA NA 08-24-87 10 18 196 5396 1 97 0 68 3 22 204 796 08-24-87 11 5 14 385 NA NA NA NA NA 08-24-87 U 2 2 55 NA NA NA NA NA

10-16-87 7 44 5U 14097 2 89 0 76 6 89 087 913 10-16-87 8 19 241 6635 129 0 44 3 28 433 567 10-16-87 9 10 139 3827 1 11 0 48 1 82 537 463 10-16-87 10 22 199 5479 2 02 0 65 3 97 247 753 10-16-87 11 U 44 U11 2 00 0 80 2 91 170 830 10-16-87 U 2 13 358 NA NA NA NA NA

Ta 8 -- Ber d fOI h i iOl

- r t - anl - cbE - 987 lplj eve

station 7 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 9 12 7 14 15 13 17 15 102 U 75 69 39 69 39 LIMNOpoundIUI1JS IDFFMEISTERI 2 1 6 1 3 4 1 3 21 2 63 14 29 8367 AIJID[JUI1JS PIQJErI 1 0 3 0 2 0 1 1 8 1 00 544 89 U DER) DIGITATA 1 1 2 0 0 0 2 0 6 75 4 08 93 20 lUBIFICIDAE Dff 0 0 0 0 0 0 1 3 4 50 2 72 95 92 COlUMOOIA SP 0 0 0 0 0 0 0 2 2 25 1 36 97 28 PIANORBELIA IlJRYI 0 0 1 0 0 0 0 0 1 13 68 97 96 URNATEI1A GRACILIS 0 0 0 0 0 0 0 1 1 13 68 98 64 DER) FURCATA 0 0 1 0 0 0 0 0 1 13 68 99 32 BRATSIAVIA UNIIDllATA 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 13 14 20 15 20 17 22 26 147

Station 8 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHAOBRJS RlNClIPEHlIS 0 1 0 0 1 0 0 0 2 25 4000 4000 DERO DIGITATA 0 0 0 0 0 2 0 0 2 25 66 67 66 67 AItLIIAIS 0 0 0 0 0 0 0 1 1 13 100 00 100 00

Totals -gt 0 1 0 0 1 2 0 1 5

Station 9 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 0 0 0 4 0 0 1 0 5 63 83 33 83 33 PRISTINA IEIDY 0 0 1 0 0 0 0 0 1 13 16 67 100 00

Totals -gt 0 0 1 4 0 0 1 0 6

Ta- - 8 -ont L_ - 3d

station 10 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

NEHAlOIlZ SP 0 71 0 0 1 0 3 0 75 9 38 38 27 3827 lUBIFICIDaE IMM Wrur 3 9 5 0 1 6 1 7 32 4 00 16 33 54 59 DERO DIGITATA 1 6 3 2 3 2 3 4 24 3 00 12 24 6684 LlMN()[JUllJS IDFFMEISTERI 2 8 4 2 0 0 0 6 22 2 75 11 22 78 06 AUIDtRIllJS PI(JJErI 0 3 2 2 0 0 3 2 12 1 50 6 12 84 18 BRATSIAVIA UNIDENrATA 0 3 0 0 5 1 0 0 9 1 13 4 59 8878 SP 0 0 4 0 0 0 1 1 6 75 3 06 91 84 IAEVAmX FUSWS 0 2 0 0 2 0 0 0 4 50 2 04 93 88 PIANORBEUA WRY 0 0 0 0 0 2 0 0 2 25 102 94 90 NAIDIDtE SP 0 0 0 0 0 0 2 0 2 25 1 02 95 92 LIBELWLIDtE Spp 0 1 0 0 0 0 0 0 1 13 51 96 43 BRAltlIYMESIA SP 0 0 1 0 0 0 0 0 1 13 51 96 94 OOENAGRIOOIDAE SP 0 0 0 1 0 0 0 0 1 13 51 97 45 URNATELIA GRACILIS 0 0 0 0 1 0 0 0 1 13 51 97 96 lUBIFICIDaE MM 0 1 0 0 0 0 0 0 1 13 51 9847 DERO FURCATA 0 1 0 0 0 0 0 0 1 13 51 98 98 OOEWlANYlUS SP 0 0 1 0 0 0 0 0 1 13 51 99 49 NR EINFEIDIA SP 0 0 0 0 1 0 0 0 1 13 51 100 00

Totals -gt 6 105 20 7 14 11 13 20 196

station 11 Aug 24 1987 Replicate Cllm

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

DERO DIGrrATA 4 3 0 0 0 0 0 0 7 88 50 00 so 00 NEHAIDpoundllIL SP 0 0 0 0 1 0 2 0 3 38 21 43 7143 CHAOooms RJNCrIPmNIS 0 0 0 0 0 1 1 0 2 25 14 29 85 71 BRATISIAVIA UNIDENrATA 0 0 0 0 0 0 1 0 1 13 7 14 92 86 OOEWlANYlUS SP 0 1 0 0 0 0 0 0 1 13 7 14 10000

Totals -gt 4 4 0 0 1 1 4 0 14

station 12 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

OECElIS SP 0 0 1 0 0 0 0 0 1 13 50 00 50 00 AUIDtRIllJS PI(JJErI 0 0 0 0 0 1 0 0 1 13 50 00 100 00

Totals -gt 0 0 1 0 0 1 0 0 2

Ta 8 Dnt d

station 7 oct 16 1987 Replicate OlIn

Taxa 1 2 3 4 5 6 7 8 Total Mean PeI1ent Percent

NAIS ELINGUIS 2 51 22 2 0 13 1 6 97 12 13 18 95 18 95 lUBIFICIDAE IMM Wrur 7 14 17 0 12 4 8 5 67 8 38 13 09 32 03 IJID DIGITATA 12 16 10 12 0 11 1 5 67 8 38 13 09 45 12 oomAOOIlt SP 0 12 6 4 2 2 10 0 36 4 50 7 03 52 15 LIMNOIlUIlJS HlFFMEISTERI 1 5 14 1 1 4 0 0 26 3 25 5 08 57 23 mISTINA IJHISRrA 0 17 1 2 0 3 0 0 23 2 88 4 49 61 72 AMNICOIA SP 2 7 1 1 1 6 0 2 20 2 50 3 91 65 63 CHIRaDIJS SP 3 1 6 2 2 3 1 0 18 2 25 3 52 69 14 JHlmMANNIEI1 SP 0 12 3 0 0 3 0 0 18 2 25 3 52 72 66 BRATISIAVIA tJNIDmlATA 1 2 2 5 1 1 1 5 18 2 25 3 52 76 17 SP 4 0 3 5 3 0 0 2 17 2 13 3 32 79 49 OOLYPEDIIIM SP 3 0 1 4 1 1 0 1 11 1 38 2 15 81 64 mISTINA mgtB6CIDFA 0 5 1 2 0 0 0 3 11 1 38 2 15 83 79 P SP 0 6 4 0 0 0 0 0 10 1 25 1 95 85 74 DICHJIElIDlPES SP 0 6 0 0 0 0 0 0 6 75 1 17 86 91 NIMBXERA SP 0 1 2 1 1 0 0 1 6 75 1 17 88 09 STEllJANSCIUA lRlVANIIWUt 0 0 0 3 0 1 1 1 6 75 1 17 89 26 HYAUEIA AZlEXA 0 1 1 1 0 2 0 0 5 63 98 9023 IrllEA SP 0 1 1 1 0 0 0 1 4 50 78 91 02 NR EINFEIDIA SP 1 0 0 0 0 0 1 2 4 50 78 9180 RHEXJrANYTARSUS SP 0 1 0 1 1 1 0 0 4 50 78 92 58 auroroRJS SP 0 2 1 0 0 1 0 0 4 50 78 93 36 AlJIOIIUIIE PIGJErI 2 0 0 1 0 0 0 1 4 50 78 94 14 lUBIFICIIlfE IMM 0 0 1 1 1 1 0 0 4 50 78 94 92 URNATELIA GRACILIS 1 0 0 0 0 0 1 1 3 38 59 9551 COEIDrANYIUS SP 1 0 0 0 0 0 0 2 3 38 59 96 09 NEMAIODA SP 0 1 0 0 0 0 0 1 2 25 39 96 48 SP 0 0 0 0 1 0 0 1 2 25 39 96 88 ANCYJLI1llE SP 1 0 0 0 0 0 0 0 1 13 20 97 07 HilRgtBIID7E SP A 0 1 0 0 0 0 0 0 1 13 20 97 27 ruESIA TIGRINA 0 0 1 0 0 0 0 0 1 13 20 97 46 PIANORBEIlA IlJRYI 0 0 0 1 0 0 0 0 1 13 2 0 97 66 D7E SP 0 0 0 1 0 0 0 0 1 13 20 97 85 OORDYIDRIgtRA IACDSlRIS 0 0 0 0 0 0 0 1 1 13 20 98 05 OECElIS SP 0 0 0 0 1 0 0 0 1 13 20 98 24 JlU(B)())())RJXA SP 0 0 0 0 0 1 0 0 1 13 20 98 44 BRACHYMESIA SP 0 0 0 0 0 1 0 0 1 13 20 98 63 ltHIRaDfIDIE SP 0 1 0 0 0 0 0 0 1 13 20 98 83 ORIBXlADIlNAE SP 0 1 0 0 0 0 0 0 1 13 20 99 02 TANYRJS SP 0 1 0 0 0 0 0 0 1 13 20 99 22 OIAOBlRJS RJNCr1PlHaS 0 0 1 0 0 0 0 0 1 13 20 99 41

TaO bull 8 - cor Jed

statim 7 oct 16 1987 continued Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHIBHlfiNAE SP (RJPAE) 0 0 0 0 0 0 0 1 1 13 20 99 61 JER) JiURCAI7 0 0 0 1 0 0 0 0 1 13 20 99 80 JER) NIVEA 0 0 1 0 0 0 0 0 1 13 20 100 00

Totals -gt 41 165 100 52 28 59 25 42 512

statim 8 oct 16 1987 Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

0IIl0DU3 SP 4 5 17 48 17 31 19 8 149 18 63 6183 61 83 JER) mGlTAl1 1 3 0 33 4 4 4 4 53 6 63 2199 83 82 SP 0 0 1 8 2 2 3 0 16 2 00 6 64 9046 TANYIUS SP 0 4 0 0 0 0 0 0 4 50 1 66 92 12 NIM8XERA SP 0 0 0 1 0 0 1 1 3 38 1 24 93 36 PIARlRBELIA IlJRYI 0 2 0 0 0 0 0 0 2 25 83 94 19 NAIS ELINGUIS 0 0 0 2 0 0 0 0 2 25 83 95 02 NEWaODA SP 1 0 0 0 0 0 0 0 1 13 41 95 44 ANCYlLtDAE SP 0 1 0 0 0 0 0 0 1 13 41 95 85 GYRAUIIJS PAIME 0 1 0 0 0 0 0 0 1 13 41 96 27 CyenMHlRA lOLITA 0 0 0 1 0 0 0 0 1 13 41 9668 HYAIlEIA AZTErA 0 0 0 1 0 0 0 0 1 13 41 97 10 IMEACARINA SP 0 0 0 0 0 0 1 0 1 13 41 97 51 IJMNCOUIDS l)FFMEISllU 0 0 0 0 0 0 1 0 1 13 41 97 93 lUBIFICIIl7E IMM Wrur 0 0 1 0 0 0 0 0 1 13 41 98 34 AIJlDIRII1JS PlGUE1I 0 0 0 0 0 0 0 1 1 13 41 98 76 TANYIODlINAE SP 1 0 0 0 0 0 0 0 1 13 41 99 17 CERAIO SP 0 0 0 1 0 0 0 0 1 13 41 99 59 TANYTARSUS SP 0 0 0 1 0 0 0 0 1 13 41 100 00

Totals -gt 7 16 19 96 23 37 29 14 241

Tal 8 3 can led

statim 9 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent Paloent

CHrRHHlS SP 4 20 18 8 18 13 12 15 108 13 50 73 97 73 97 NDWlODi SP 0 4 1 1 0 1 1 1 9 1 13 616 80 14 IER) DIGrrATA 0 3 0 0 2 1 1 1 8 1 00 548 85 62 NIMBJCERA SP 0 3 0 0 0 4 0 0 7 88 4 79 9041 PARAaIllUICHS SP 0 3 0 0 2 0 0 0 5 63 3 42 93 84 CIAJOrANrr SP 0 0 1 0 3 0 0 0 4 50 2 74 96 58 anRHJIINAE SP 0 0 0 0 1 0 1 0 2 25 1 37 97 95 CAENIS SP 1 0 0 0 0 0 0 0 1 13 68 98 63 PIAtIlRBEUA IlJRYI 0 0 0 0 0 1 0 0 1 13 68 99 32 NR EINFEIDIA SP 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 5 33 20 9 26 20 15 18 146

statim 10 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent PeIcent

NDWlODi SP 3 3 4 3 0 2 49 28 92 1150 4623 4623 IER) DIGrrATA 2 3 3 1 6 7 8 0 30 3 75 1508 61 31 CIAJOrANrr SP 1 0 1 0 1 9 3 0 15 1 88 7 54 6884 AIJaUUS 0 0 1 0 0 6 5 0 12 1 50 6 03 74 87 00TRACXgtIlt SP 0 1 0 0 0 0 0 6 7 88 3 52 78 39 lUBIFICI DM WClJI 0 5 1 0 0 0 1 0 7 88 3 52 8191 mISTINA UUISFrA 0 1 1 0 0 2 1 0 5 63 2 51 84 42 HYAIlEIA 0 0 1 0 0 0 0 3 4 50 2 01 8643 BRATSIAVIA tJNIIlENmTA 0 0 1 1 0 2 0 0 4 50 2 01 88 44 NIMBXERA SP 0 0 1 1 0 2 0 0 4 50 2 01 9045 CXlRDYIOHIlRA IAaJSDUS 0 1 0 0 0 1 1 0 3 38 1 51 91 96 PIAlIlRBEIlA IlJRYI 0 0 0 1 0 2 0 0 3 38 1 51 93 47 LIMNOlIUllJS JDFFMEISTERI 0 1 0 0 1 0 0 0 2 25 1 01 94 47 AIJIDIlllIm PIGOErI 0 1 0 0 0 1 0 0 2 25 1 01 95 48 CHrRHHlS SP 0 0 0 1 1 0 0 0 2 25 1 01 96 48 IAEVAPEX FUSaJS 1 0 0 0 0 0 0 0 1 13 50 9698 CXgtRIXIDtE SP 0 0 0 0 1 0 0 0 1 13 50 97 49 mISTINA FROBlSEIIEA 0 0 0 0 0 0 1 0 1 13 50 97 99 NAIS EIllDJIS 0 0 0 0 1 0 0 0 1 13 50 9849 TA8ANIDtE SP 0 1 0 0 0 0 0 0 1 13 50 98 99 auoororus SP 0 0 0 0 0 0 1 0 1 13 50 99 50 PARAClIIRHHJS SP 0 0 0 0 0 0 1 0 1 ll 50 100 00

lbtals -gt 7 17 14 8 11 34 71 37 199

Til 8 crd d

station 11 oct 16 1987 Replicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

DER) DIGITATA 3 0 2 3 4 1 1 0 14 175 3182 31 82 NEMAlOJl SP 0 0 2 7 0 1 0 1 11 1 38 25 00 56 82 C8IRA(X)[) SP 3 0 0 1 0 0 0 0 4 50 909 65 91 atIRNHlS SP 0 0 1 0 3 0 0 0 4 50 909 75 00 PAIAEHImlAE SP 0 0 0 0 0 0 0 2 2 25 4 55 79 55 PRISTINA 0 0 0 2 0 0 0 0 2 2 5 4 55 94 09 IJMOOllUIlS Jl)FFMEISlmI 0 0 0 0 1 0 1 0 2 25 4 55 88 64 PIANORBEUA IlJRYI 0 0 1 0 0 0 0 0 1 13 2 27 9091 GYRNJIIJS PARVUS 0 0 1 0 0 0 0 0 1 13 2 27 93 18 PAIAEHImrES PAIIJJXl9US 0 0 0 0 1 0 0 0 1 13 2 27 9545 lUBIFICIDAE DII WaJl 0 0 0 0 0 0 1 0 1 13 2 27 97 73 PARAClIIlODIJS SP 0 1 0 0 0 0 0 0 1 13 2 27 100 00

Totals -gt 6 1 7 13 9 2 3 3 44

station 12 oct 16 1987 Rsplicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

C8IRA(X)[) SP 2 2 0 3 0 0 0 0 7 88 53 85 53 85 PIANORBEUA IlJRYI 0 5 0 1 0 0 0 0 6 75 46 15 100 00

Totals -gt 2 7 0 4 0 0 0 0 13

IX LARVALJUVENILE F I SH TASK

IXA INTRODUCTION

The i mportance of aquat i c macrophytes i n enhanci ng f i sh

popul at i ons by prov i d i ng protect i on and forage for smal l fi shes has been

d i scussed by many authors ( Lantz et al 1 965 Barnett et al 1 974

Rozas and Odum 1987a 1 987b ) However dense Hydri l l a i n festat i on has

been reported to have del eteri ous effects on gamefi sh popul at i on s by

reduc i ng gamefi sh forage ( Lantz et al 1 965 Col l e et al 1 980 and

Macci na 1 985 ) and yet i mpacts on fi sh popul at i ons have al so been

associ ated wi th the removal of nui sance aquat i c weeds ( Hal l er Sh i reman

and Durant 1 980 and Mi kol 1985 ) Luxuri ant stands of vegetat i on al so

ser i ous ly hamper the fi el d bi ol og i sts attempts to quanti fy fi sheri es

resources Therefore the methodol og i es and the s ampl i ng l ocati ons must

address the compl i cat i ons of dense aquati c macrophyte growth

Th i s task has been speci fi cal l y des igned to exam i ne the effects of

mechan i cal h arvest i ng of Hydr1 l l a i n Lake Okeechobee Top ics of

i nvest igat i on i ncl ude

o removal of eggs and l arvae entrapped i n the weed harvest

operat i on

o exami nat ion of the Redge effectR ( i ncrease i n area of edge of weed

I mats ) on d i stri but i on of l arval fi she s

o rel ati ve abundance of l arvae i n und i sturbed weed areas and open

l ake weed edge waters as compared wi th new weed edge created by

harvest i ng and open water over harvested weed and to open 1 ake

waters beyond the weed fri nge

IX B METHODS ANP MATERIALS

IX B l Sampl i ng Strategy

Sampl es were taken us i ng three methods Phy s i cal removal of egg s

and 1 arvae v i a removal o f harvested Hydri 1 l a was quanti fi ed by the

exami nat i on of sampl es of the harvester s l oad col l ected as i t was

9 - 1

transferred from the transport vessel to trai l er The eggs of those

organi sms wh i ch ut i l i ze Hydrjl l a as a sUbstratum for egg - l ay i ng or as

physi cal protect i on were expected to be represented in these sampl es

Fi ve stati ons were sampl ed to address the abundances of l arval

fi sh and the i r utl l i zat i on of var i ous habi tat s wi th i n the study s i te

Both nocturnal l i ght traps and nocturnal pl ankton tows were empl oyed the

sel ect i on depend i ng upon weed dens i ty Surface pl an kton tows were used

pri mari l y at open water s i tes li ght traps at both surface and bottom

were used to address gradi ents wi th i n the water col umn as wel l as

d i fferences between harvested and unharvested areas li ght traps l ocated

at the bottom were expected to y i el d the greatest catch s i nce most o f

t h e i mportant sport and commerci al fi shes - -Centrarchi dae ( bass )

Perc i dae ( perch ) Ictal uridae ( catfi shes ) and Cypri n i dae (mi nnows

sh i nners carp ) - - have demersal early l i fe stages ( Hardy 1978 Jones

Mart i n and Hardy 1 978)

I X B2 Station Sel ecti on

For the l i ght trap and pl ankton tows fi ve stat i ons representi ng

five d i fferent habi tats were exami ned Control s i tes cons i sted of a

vegetated area a natural weed -edge- habi tat and a natural open water

habi tat The northern hal f of Transect 4 ( 1 52 4 x 545 5m) was the

experi mental transect for l i ght trap and pl ankton tow sampl es ( F i g ure

9 1 ) Two stati on types were sampl ed wi th i n the experimental transect- shy

a n open waterover harvested area and a newl y harvested edge ( F i gures

9 2 and 9 3 ) Stat i on l ocati ons were as fol l ows

Stat i on 1 ( vegetated ) area heav i ly i nfested by Hydri 1] a just

outsi de Transect 4

Stat i on 2 ( harvested ) recentl y harvested area i n Transect 4

Stat i on 3 ( harvested edge ) recently harvested edge of Transect 4

Stati on 4 (natural edge ) edge between an unharvested area and the open

water

Stat i on 5 ( open water ) open water area just outs i de Transect 4

Weed harvest sampl es were col l ected on the fi rst 454 5m ( 1 500 ft) of

Transect 3 ( F i gure 9 1 )

9 - 2

IX B 3 Sampl i ngs

The above descri bed stat i ons were sampl ed on September 23 and 30

1 987 and January 5 1988 Duri ng each quarter four repl cate pl ankton

tows and bottom l i ght trap sampl es were taken at Stat i ons 2 - 5 Both

methods prov ided i n formati on on the d i stri but i on of l arvae and juveni l es

wi th i n the water col umn The pl ankton net served pri mar i l y as a surface

col l ect i ng dev i ce wh i l e the l i ght traps served as a bottom col l ect i ng

dev i ce Pl ankton tows were not poss i bl e at Stat i on 1 therefore l i ght

trap sampl es were taken at both surface and bottom A total of 16

pl ankton tows ( 4 repl icates 4 stat i ons ) and 1 5 l i ght traps ( bottom - 3

rep l i cates 5 stat i ons ) were co 1 1 ected on September 23 1 987 8 l ght

trap sampl es ( 4 s urface and 4 bottom repl i cates 1 stat i on ) were

co 1 1 ected on September 3 0 1987 and 1 6 pl ankton tows ( 4 rep 1 i cates 4

stat i ons ) and 24 l i ght traps ( 20 bottom 4 surface ) sampl es ( 4

repl i cates 5 stat i ons ) were col l ected o n January 5 1 988 Duri ng

Quarter I a combi nati on of both towed and trapped sampl es resul ted i n a

total of 39 sampl es col l ected and anal yzed whi l e Quarter I I col l ect i ons

resul ted i n 40 sampl es col l ected and anal yzed

Three 1 14 l i ter ( 30 gal ) weed harvest sampl es were col l ected

preserved and processed duri ng each quarter L i ght trap and pl ankton

tows were co 1 1 ected from ca 1 hr after sunset to ca 1 hr before

s unri se Weed harvest sampl es were col l ected from the harvester at 1400

hrs ( 2 00 PM)

Weather cond i t i ons were more favorabl e duri ng the Quarter I

sampl i ng s than duri ng Quarter I I sampl i ngs In September a i r temperature

was approx i matel y 270C (800F ) water temperature was 280C (820F ) the

wi nd was l ess than 5 knots and the l ake was cal m In January the a i r

temperature was approx i mately 130C ( 55 40F ) water temperatu re was 160C

( 60 80F ) w i nd was approx imatel y 1 5 - 20 knots and the wave height on the

l ake was approx i mate ly 0 3m ( 1 0 ft )

9 - 3

Harvested Hvdri 1 1 a

For each s ampl i ng of harvested Hvdri 1 1 a three 1 14 l i ter (30 gal )

a l i quots of t ightly packed pl ant materi al were col l ected from several

l ocat i ons wi th i n the harvester l oad Drai ned wet we i ghts were recorded

to u se i n conjunct i on wi th bi omass data The rel at i ve appearance of each

al i quot was descri bed ( tops stems etc ) and the presence of other

vegetat i on was noted

Samp1 es were then careful ly ri nsed to free entra i ned organi sms or

l oose ly attached materi a l and the col l ected wash water was s i eved

through three succe ss i vely smal l er mesh s i zes The resul t i ng three

fract i ons per s ampl e consti tuted those organ i sms and materi al s l arger

than l Z 7nm ( lZ- ) 4 _ (316- ) and 0 363mm ( 1 100- ) Al l s ampl es

were preserved in 10 buffered formal i n and transported to the l aboratory

for further process i ng

pl ankton Tows

Open water and mi 1 d 1 y weeded areas were s ampl ed wi th two 30cm

mouth d i ameter 363u mesh con i cal s i de-mounted con i cal p1 ankton nets

( F i gure 9 4 ) Cal i brated General Oceani cs D ig i tal f1 0wmeters were

pos i t i oned i n the midd1 e of each net aperture to measure the s amp1 ed

water vol ume Four repl i cates were taken at each stat i o n each

represent i ng a 3 mi nute tow A thi rd fl owmeter was al so mounted on the

s i de of the boat to mon i tor net cl ogg i ng by prov i d i ng a measure of the

i deal water vol ume samp1 ed Al l samp1 es were co1 1 ected at n i ght to

mi n imi ze avoi dance of the gear by l arval fi sh

Light Traps

HeaVi l y weeded areas were sampl ed u s i ng rectangul ar (40 6cm x

30 Scm x I S 9cm) p1 exi g1 ass l i ght traps ( F igure 9 5 ) The l i ght traps

were fi tted wi th Tekna- L i te Z underwater fl ashl i ghts and SOSu mesh

sl eeves l ead i ng to quart s ampl i ng j ars L i ght traps were fi shed for

approx i mately one hour Both surface and bottom s ampl es were col l ected

at Stat i on 1 Al l other l i ght trap sampl es were taken at the bottom

Temperature ( 0C ) pH and conducti vi ty (rmnhos ) were measured at

the surface of stat i ons where nets and traps were depl oyed us i ng a

9-4

cal i bra ted Martek Mark 7 meter Oi sso 1 ved oxygen (mg1 ) was measured

us i ng a YS I Model 57 oxygen meter Th i s method i n conjunct i on wi th the

pl ankton tows prov i ded i nformati on to assess both spat i al and

experimental l y i nduced vari at i on i n i chthyop1 ankton fauna

IX B Sampl e Anal ys i s

For each sampl i ng method used the catch per un i t effort ( CPUE ) and

spec i es compos i t i on of the col l ected l arvae per habi tat for each quarter

was reported

Catch per uni t effort for each methodol ogy used was reported as

fol l ows

Harvested Hydri l 1 a the number o f organ i sms caught per 100 kg of

Hydri l l a removed

L i ght traps

Pl ankton tows

the number of organ i sms caught per trap- hour fi shed

the number of organ i sms caught per 100m3 of water

For each pl ankton net samp 1 1 ng event the number of organ i sms co 1 1 ected

was cal cu l ated to a standard number per 100m3 of water Because of

rel at i ve un i formi ty of depth i n th i s port i on of the l ake l arval

dens i t i es (no100m3 ) were converted to no hectare of l ake surface The

depths used i n convert i ng no 100m3 to no hectare were l Om i n the

September sampl i ng and 2 0m i n the January sampl i ngs

Analyses of vari ance (ANOYA S ) were cal cul ated us i ng the CPUE s to

determi ne s i mi l ar i t i es or d i fferences i n s pec i es d i versi ty between

habi tats for each methodol ogy (Tabl e 9 1 ) Student t - tests anal yses

cal cul ated from mean number of fi sh per repl i cate were used to determi ne

s i mi l ar i t i es or d i fferences i n rel ati ve abundance of fi sh between

stat i on s for each methodol ogy (Tabl e 9 2 )

IX C RESULTS

Many terms may be used to descri be the 1 arval stages of fi sh

(Snyder 1 983 ) In thi s study the term pro1 arvae deS i gnates those fi sh

wh i c h have just hatched and sti l l retai n a yol k sac The term

postl arvae i s used for al l stages of l arval devel opment fol l owi ng yol k

9-5

sac absorpt i on yet pri or to attai nment of ful l adul t fi n compl ement

- Larvae - i s used i n referri ng col l ect i vel y to both pro1 arvae and

post1 arvae The term -juveni l e- refers to those organi sms wh i ch have the

ful l adul t fi n compl ement but have not yet attai ned sexual maturi ty

Di s sol ved oxygen (DO) temperature pH and conducti v i ty were

measured at the surface at each s i te (Tabl e 9 3 ) Water temperature and

d i ssol ved oxygen were s i mi l ar at al l stat i ons for each sampl i ng date but

were qui te d i fferent between September and January The average water

temperature ranged from 28 10C i n September to 1 6 90C i n January

Average DO ranged from 4 8 mg1 i n September t o 8 4 mg1 i n January

A total of 996 fi sh representi ng 19 speci es was col l ected at Lake

Okeechobee duri ng September and January combi ned Spec i es l i sts for each

sampl i ng date and for total sampl i ng efforts are presented i n Tabl es 9 4

9 5 and 9 6 respect i ve l y Heterandria formosa ( l east ki l l i fi sh ) was

the domi nant spec i es col l ected accounti ng for 41 of the total catch

Lepomis sp ( sunfi s h ) and Gambusi a affi ni s (mosqu i tofi s h ) accounted for

13 8 and 1 2 8 respect i vel y of the total catch Of t he 996 fi sh

col l ected 0 2 were pro1 arvae 46 5 were post1 arvae and 53 3 were

j uveni l es Gambusi a affi n is and Heterandri a formosa were the onl y

speC i es col l ected as adul ts ( 0 3) L i vebearers (H formosa affi n i s

and Poecll i a 1 at i pi nna) al ong wi th ki l l i fi sh (Jordanell a f1 0ri dae and

lucan i a parva) accounted for 55 of the fi sh co1 1 ected The percent

compos i t i on of 1 i vebearers and ki l l i fi sh for each stat i on i s presented i n

Fi gure 9 6 Centrarch i d eggs represented 77 of the 5 932 eggs

col l ected

Catch per un i t effort (CPUE) of each spec i es per stat i on per

s amp1 i ng date for the p1 ankton tows 1 i ght traps and weed harvest are

presented i n Tabl es 9 7 9 8 and 9 9 respect i vel y A majori ty of the

uni dent i fi ed fi sh reported appeared to be cypri n i ds (mi nnows and carp )

F i nal veri fi cat i ons are be i ng cond ucted by Dr W R Courteney ( Fl ori da

Atl anti c Uni vers i ty) Mr 1 S i mon ( Large Ri vers Larval Research

Stat i on ) and Mr D E Snyder ( Larval F i sh Laboratory) and are not yet

ava i l abl e

I n the pl ankton tows for al l stat i ons combi ned 1 2 of the 19

reported spec i es were col l ected of wh i ch 97 5 were post1 arvae Leoomi s

9-6

spp ( sunfi sh ) was the domi nant spec i e s mean abund ance was 465 8

i nd i v i dual shectare i n September and 2 262 i nd i v i dual shectare i n

January Wh i l e Leoomi s spp was most abundant at the open water stat i o n

i t was al so abundant a t the harvested edge and natural edge stat i ons

The smal l er spec i es such as poeci l 1 id s ( l i vebearers ) cypr i nodonti ds

( ki l l i fi sh ) and the cypri n i d s were most abundant at the harvested

stat i on The l arger i nd i vi dual s of these spec i e s were al so col l ected i n

l ower numbers at the harvested edge and natural edge stati ons The

harvested area exh i bi ted the greatest speci e s d i versi ty ( 8 spec i e s ) and

the second h i ghest abundance ( 2 656 i nd i v idual shectare ) i n September

I n January fi sh were most abundant at the open water stat ion ( 5 918

i nd i v i d ual shectare ) but th i s stat i on al so exh i bi ted the l owest speci es

d i vers i ty ( 2 speci es ) Total abundance at th i s stat i on was affected by

the spawn i ng of Lepomis spp whi ch accounted for 4 608 of the 5 918

i nd i v i dual shectare predomi nantly i n the l arval stages Fi sh col l ected

by the pl ankton net method accounted for 28 4 of the total catch

Wi th respect to the eggs col l ected i n the pl ankton tows

centrarch ids were the domi nant speci es (97 eggshectare) The number of

egg s reported i n the pl ankton tows represented only 0 05 of al l eggs

co l l ected

The l i ght traps Igtredomi nantl y attracted juven i l es ( 63 1)

represent i ng 1 5 of the 19 speci es col l ected Heterandri a formosa was the

domi nant spec i es (mean bull 4 5 fi shhour) and Gambusi a affi n i s was the

second most abundant spec i es ( mean bull 1 6 fi shhour) The h i ghest CPUE

for both of these spec i es occurred at the vegetated stat i o n ( 18 03

fi shhour for Heterandri a formosa and 7 03 fi shhour for Gambusi a

affi n i s ) The vegetated and the harvested stat i on s demonstrated the

h i g hest spec i es ri chness each with 8 d i fferent speci es The l arger

spec i es atheri n i ds ( s i l vers ides ) and gobi es were not general l y confi ned

to one habi tat They were present i n the open water and edge habi tats

a s wel l a s the harvested stati on Spec i es of the fami l y Perc idae ( perch)

appeared onl y i n the 1 i g ht trap sampl es at the harvested and harvested

edge stat i on s Few f i sh eggs were col l ected i n l i ght traps

F i sh col l ected i n the weed harvest sampl es accounted for 50 3 of

the total f i sh catch and represented 10 of the 1 9 spec i es reported

9 - 7

Heterandri a formosa and i affin i s were the two predomi nant s peci es

numberi ng 492 3 fi shlOa kg of weed and 1 51 6 fi shlOa kg respect i vel y

O f the total number o f f1 sh col l ected i n the weed harvest 9 9 were

col l ected i n September and 78 of those were j uveni l es W i th the

excepti on of one ki l l i fi sh the 1 i vebearers were the onl y spec i es

col l ected as juven i l es Lepomi s spp was col l ected i n very l ow numbers

and onl y i n the post1 arva1 stage

Eggs col l ected i n the weed harvest sampl e s represented 99 of al l

eggs col l ected Centrarch id eggs wh i ch were col l ected onl y i n January

were the domi nant spec i es of eggs wi th an average of 8 899 eggsl Oa kg

Hydri 1 1 a sampl es exh i b i ted two markedly d i fferent appearance One type

was very 1 eafy wi th short i nternodu1 e spaces the other was l ong and

stri ngy wi th fewer l eaves and l onger i nternodu1 e d i stances Repl i cate

3 of the September samp 1 i ng and rep 1 i cates 2 and 3 of the January

samp l i ng cons 1 sted mai nl y of the l ong stri ngy Hydrill a A greater

number of eggs were col l ected i n the l eafi er Hydri 1 1 a

IX D DISCUSSION

IXD l Effects of Weather

The January sampl i ng resul ted i n l ow speci es ri chness and

abundance A total of 8 f1 sh representi ng 4 speci es were co 1 1 ected i n

the l i ght trap and weed harvest sampl es combi ned These l ow numbers are

most evident i n the January l i ght trap data presented i n Tabl e 9 8 I t

i s bel i eved the adverse weather and l ake cond i t i ons prev i ousl y menti oned

were the primary reasons for these l ow numbers rather than effects of

spawn i ng act i v i ty or mechani cal harvesti ng One specul at i on may be that

the strong wi nd caused a strong current wh i ch may have effecti vel y

h i ndered the swimmi ng abi l i ty of the weaker swimmi ng post1 arvae and smal l

j uven i l e s Consequently these organ i sms became more or l ess pl ankton i C

Another suppos i t i on may be that the strong currents caused by the w i nd

sti rred u p the water enough to cause a decrease i n water c l ari ty Th i s

woul d a l so resu1 t i n a decrease i n 1 i ght trap effect i veness Adverse

9-8

weather cond i t i ons i n January may have al tered the effecti veness of both

sampl i ng method and techn i ques

IX D 2 Sampl i ng Effec1 encv

Prev i ous stud i es (Ager 1 97 1 F l ori da Game amp Fresh Water Fi sh

Commi ss i on 1956 ) reveal ed that at l east 48 fi sh speci es i nhabi t Lake

Okeechobee Duri ng the present study 2 1 spec i es or 44 of those found

i n the l ake have been col l ected thus far

Speci es saturati on curves wh i ch address sampl i ng effi c i ency do not

appl y to i chthyofaunal analys i s due to such factors as act i ve movement of

organ i sms wi thi n and through an area di fferences i n seasonal spawn i ng

and d i verse uti l i zati on o f a habi tat by di fferent 1 i festages wi th i n a

spec i es An esti mate of sampl i ng effi c i ency can be obta ined by compari ng

the number of spec i es col l ected i n our study duri ng a g i ven season ( or

month) to the number of speci es known to spawn i n that season i n Lake

Okeechobe e

Spawn i ng seasons of 3 2 o f the 48 known speci es have been

documented Spawn i ng seasons for the remai nder of the spec i es are

unknown or have not been reported Of the 32 speci es wi th known

spawn i ng seasons there are approxi mate ly 1 5 l ate summer to fal l

spawners 1 4 l ate fal l to wi nter spawners and 2 5 spri ng and sununer

spawners At l east 4 of these speci es seem to spawn al l year around

U s i ng these numbers as a basel i ne for compari son an approxi mate

percentage of speci es col l ected per season ( or month) can be cal cul ated

I n our September sampl i ng whi ch represented l ate summer to fal l

spawners 10 of the 1 5 known speci es (or 66) were col l ected In our

January sampl i ng representi ng l ate fal l to wi nter spawners 10 of the 1 4

known spec i es ( or 7 1) were col l ected Most o f the fi sh spec i es i n Lake

Okeechobee are spri ng and summer spawners ( 7) consequentl y our

spec i es l i st i s expected to i ncrease i n Quarter I I I due to th i s i ncrease

i n spawn i ng act i v i ty

The number o f t i mes a n area i s sampl ed wi thi n a season i s as

i mportant a factor i n col l ect i ng adequate data as i s the number of

repl i cates taken Due to fund i ng constra i nts onl y one sampl i ng event

9-9

per season was schedu led Typ i cal l y i chthyofaunal s ampl i ngs are

conducted on a monthl y or b imonthl y schedu l e Th i s resul ts i n an

i ncrease i n novel speci es over t i me wh i ch l essens the i nfl uence of

prev i ou s l y ment i oned factors that i nh i bi t anal ys i s

The spec i es represented i n our study coi nc i de wi th the s pec i es

known to i nhabi t Lake Okeechobee The same spec i es were col l ected w i th

al l methods uti l i zed i nd i cat i ng there was very l i ttl e d i fference i n

spec i es d i vers i ty between methods empl oyed

IX D 3 Methodol ogy ys Li festage

Pl ankton tows most effect i vel y catch organi sms moved by currents

( pl ankton ) and l i ght traps attract free-swi mmi ng organ i sms As a resu l t

nearl y al l the postl arvae were col l ected i n pl ankton tows wh i l e

juven i l es were taken i n l i ght traps I n order for the l i ght traps to be

successfu l fi sh 1 arvae must be attracted to a l i ght source Some

spec i es of fi sh are attracted to l i ght some are repel l ed wh i l e others

are unaffected Whi l e onl y spec i es that were pos i t i vel y phototroph i c

were captured i n the l i ght trap sampl es those same spec i es were al so

captured i n the pl ankton tows and weed harvest sampl es These s pec i es

were not excl us i ve to any one methodol ogy The eggs wh i ch were reported

i n l i ght trap sampl es were probabl y fl oat i ng i n the water col umn and

carri ed i n to the trap by currents The greatest number of eggs were

removed by the weed harvester when the 1 eafi er type of Hydri l l a was

harvested Some adul t fi sh spawn i n areas of dense Hydri l l a i nfestat i on

( Chubb and L i ston 1 986 Pal l er 1987 ) Therefore the l eafi er Hydri l l a

i s most l i kel y the preferred area for attachment and protect i on due to

the h i gher surface area

Onl y the smal l er spec i es were col l ected as adul ts i n al i quots of

harvested weeds Presumabl y these smal l er s pec i es seek Hydri l l a for

protect i on and are subsequentl y removed al ong wi th the Hydr i l l a by the

harvester S i nce no adul ts of l arge spec i es were col l ected i n the weed

harvest sampl es i t i s poss i bl e they are abl e to swi m out of the

i mmedi ate area to avo i d removal wi th the Hydri l l a

9- 10

IXO4 Aqyat i c Vegetati on and Spec i es Cond i t i on

Prev i ous stud i es (Hal l er Shi reman and DuRant 1980 ) i nd i cated

that few adul t fi shes are actual l y harvested i n conj unct i on w ith Hydri l l a

removal Therefore no fi el d demonstrat i on act i v i t i e s were pl anned

duri ng the present study

Stud i es have shown that changes i n areal coverage of submerged

vegetat i on have a d i rect effect on spec i es ut i l i zat i on of habi tats and

d i stri but i on between habi tats (Col l e and Sh i reman 1980 Rozas and Odum

1987 ) Hydri l J a prov i des shel ter for l arge numbers of forage fi sh In

areas of th ick HydrjJ l a i nfestati on s acces s i bi l i ty i s reduced resul t i ng

i n decreased feed i ng effi c i enci es of forag i ng fi sh Macci na and Shi reman

( 1982 ) reported dense Hydri l l a i nfestat i ons coupl ed w ith reduced forage

fi sh av a i l ab i l i ty appeared to restri ct bl ack crapp i e ( Pomoxi s

nigromacyl atys) growth S imi l arl y Bai l ey ( 1978) reported an i mprovement

i n both growth and cond i t i on of sunfi shes after the removal of dense

aquat i c vegetat i on Col l e and Shi reman ( 1980 ) reported the amount of

Hydri l l a i n the water had a greater i n fl uence on the cond i t i on of

bl ueg i l l and sunfi sh than did percent cover As more of the water col umn

becomes i nfested with Hvdri l l a the cond i t i on of these speci es decreases

The degree of change 1 5 spec ies spec i fi c and rel ated to food usage

Hydri l l a growth affects the cond i t i on factors of l arger gamefi sh before

i t affects cond i t i on factors of smal l er gamefi sh Th i s i s probabl y due

to prey-capture effi c i ency

El i mi nati ng Hydril l a compl etely from an area 1 5 al so detri mental

to f1 sh popul at i on s ( Col l e and Shi reman 1 980 ) Th i s woul d resul t i n a

decrease i n avai l abl e refuge for the forage fi sh renderi ng them read i ly

suscepti bl e to predat i on U l t i matel y the decrease i n forage fi sh

ava i l abi l i ty wou l d l ead to a decrease i n popul ati on of p i sci vorous fi sh

An i ncrease i n edge avai l abi l i ty due to harvest i ng i ncreases food

ava i l abi l i ty by al l owi ng forag i ng al ong a greater open water-vegetat i on

gradi ent Th i s i n turn resul ts i n more favorabl e cond i t i on factors for

gamefi sh Increas i ng the edge avai l abi l i ty i n our study seems to have

had no short term effects on l arval f1 sh popul at i ons such as al ter i ng

spec i es ut i l i zati on or abundance i n the area

9 - 1 1

rhe above menti oned studi es and others (Hi ko1 1985 Gregory and

Powl e s 1985 Lantz et a1 1 965) i l l ustrated that aquat i c vegetat i on

growth wi th i n l i m its prov ides an ava i l abl e suppl y of forage fi sh

essent i al to favorabl e sport fi sh popul ati on growth

IXD S Hab i tat Uti l i zation

rhe vegetated habi tat i n our study seems to be uti l i zed mos t by

post1 arvae and j uven i l es of the 1 i vebearers and ki l l i fi sh The domi nance

of these two spec i es groups at the vegetated stat i on i s cl early

i l l u strated i n F i gure 9 6 Al though the catch per un i t effort was

h i ghest for these smal l er speci es the ANOYA resul ts i nd i c ate l arval

stages of the l arger spec i es were uti l i zi ng the h abi tat as wel l It

seems that al most al l of the spec i es col l ected use the vegetati on as

protect i on from the l arge foragi ng fi sh at some t i me duri ng the i r l i fe

ANOYA resul t s showed there were no s i gni fi cant d i fferences i n spec i es

d i vers i ty between the vegetated surface ( X - 1 42 ) 1 i ght trap s ampl es

T - tests i nd i cated ( plt OS) there were al so no s ign i fi cant d i fferences i n

number of fi sh col l ected from the surface ( X-27 7) and bottom ( X 23 9 )

s ampl es These resul ts impl y there was no strat i fi c at i on i n the vert i cal

d i s tri but i on of fi sh wi thi n the vegetated habi tat

The open water habi tat i s most ly ut i l i zed by the l arger spec i es

Lepomi s spp and gobi es wh ich were probably u s i ng the area as a forag i ng

s i te

S i mi l ari t i es or d i fferences i n spec i es d i vers i ty and abundance

betwee n t h e vegetated and open water habi tat s were exami ned

stat i st i cal l y Al though CPUE s for the l arger spec ies were qu i te

d i fferent from the CPUE s of the smal l er spec i e s ANOVAS i nd i cate there

were no s i gni fi cant d i fferences i n spec i es d i vers i ty between these two

stat i ons ( p-O OS ) The j uveni l es of the smal l er spec i es must be

ut i l i z i ng the open water areas as foragi ng s i tes al so T-tests on the

number of total fi sh i n the l ight traps reveal ed there was a

stat i st i cal ly s i gn i fi cant d i fference between the number of fi sh i n the

vegetated habi t at (X-23 9 ) and those i n the open water hab i tat (X38 4)

Th i s d i fference was expected s i nce 96 of the j uven i l es were col l ected

9 - 1 2

i n l i ght traps and 9 of those were col l ected i n the vegetated habi tat

There were more j uven i l es i n the harvested area than i n the open water

consequent l y the l i ght trap woul d have attracted more fi sh i n the

harvested are a Most o f these j uven i l es col l ected were l i vebearers and

ki l l i fi sh The d i fference i n fi sh numbers was probably i nfl uenced more

by spec i es ut i l i zati on and methodol ogy rather than by harvester i mpacts

The harvested edge and natural edge habi tats i n our study were

predomi nantly uti l i zed by l arger spec i es CPU E s were very s i mi l ar among

spec i es between these two stat i ons There was no stat i st i cal ly

s i gn i fi cant d i fference i n speci es d i vers i ty between the harvested edge

and natural edge T-tests i ndi cated there was no stat i st i cal l y

s i gn i fi cant d i fference i n fi sh abundance between these two stati ons

( harvested edge X-27 9 natural edge X-33 6) Evi dentl y the harvest i ng

of Hydrl l J a has had no s igni fi cant short term i mpact on e i ther

d i stri but i on or abundance of fi sh i n these two areas

As wi th other s i mi l ar stud i es ( Rozas and Odum 1 987 Barnett and

Schne i der 1 974 Pal l er 1987) MML s vegetated and h arvested stati ons

were ut i l i zed by the smal l er spec ies (sect affi n i s H formosa and 1

parva) whi l e open water and edge stati ons were frequented by 1 arger

spec i es ( Lepomj s spp sect robustum and H qul osus ) Recent stud i es have

shown that vegetated areas prov ide protect i on for smal l fi sh by reduci ng

the foragi ng effi ci ency of l arge predators ( Rozas and Odum 1 987 Macc i na

and Sh i reman 1 982 ) In add i t i on to provid i ng refuge Hydri l l a al so

supports a high number of i nvertebrates wh i ch may be an i mportant food

source for smal l fi sh ( Pal l er 1987 Rozas and Odum 1987) Some l arge

open water forag i ng fi shes may demonstrate fl exi bl e habi tat requ i rements

I t was found that bl ueg l 1 l s foraged effecti vel y on vegetat i on-dwel l i ng

prey i n areas of submerged vegetati on as wel l as i n open water areas

(Werner and Hal l 1 977 Col l e and Shi reman 1980 ) The use of habi tat by

Lepomi s s p i n Lake Okeechobee seems to paral l el the fi nd i ngs of these

stud i es Lepomi s spp appear to ut i l i ze al l fi ve habi tats for spec i fi c

purposes and t o a d i fferent extent The vegetated and harvested areas

are probabl y used for protect i on and spawn i ng the harvested and natural

edges and open waters were probabl y forag i ng s i tes

9- 13

Ana1 ysi s of the eggs and 1 arvae entrai ned by the weed harvest

program wi l l al l ow est i mates of total egg and l arval stocks of the study

area Th i s method wi l l not quanti fy al l stocks present due to escape of

l arvae back i nto the waters by runoff from the barge avo idance of weed

h arvesters etc It wi l l however quant i fy h arvester i mpacts and al l ow

a rough compari son of abundance est imates to those generated by the l i ght

trap and net methodol og i es El i mi nati ng Hydri 1 1 a compl etel y from an area

i s al s o detri mental to fi sh popul at i ons (Col l e and Sh i reman 1 980 ) Th i s

woul d resul t i n a decrease i n ava i l abl e refuge for the forage fi s h

renderi ng them read i l y suscepti bl e t o predat i on Ul t i matel y the

decrease i n forage fi sh ava i l abl 1 i ty wou1 d 1 ead to a decrease i n

popul ati on of pi sci vorous fi sh

Al though thi s study was not des i gned to determine the total

percent of fi sh and fi sh egg s bei ng removed by the weed harvester from

lake Okeechobee the rel at i ve abundance of fi sh and fi sh eggs bei ng

removed w ith the Hydrl 1 1 a can be determi ned Th i s can be accompl i shed by

compari ng the percent of fi sh and fi sh egg s col l ected i n the weed h arvest

sampl es to the percent of fi sh and fi sh eggs col l ected i n the pl ankton

tows and 1 1 ght traps Of the three methodo l og i es empl oyed the weed

harvest sampl es contai ned the greatest abundance of organ i sms The weed

h arvester removed 50 3 of al l fi sh and 99 of al l egg s col l ected to

date The pl ankton tow sampl es represented 28 4 of al l fi sh and 0 of

al l eggs col l ected ( Figure 9 7) These data i nd i cate a l arge number of

fi sh and fi s h egg s are bei ng removed wi th the Hydri 1 1 a The avai l ab i l i ty

of an i mportant habi tat for spec i es uti l i zat i on i s al so be i ng removed

Data col l ected thus far suggest there are no stat i st i cal l y

s i g n i f i cant short- term i mpacts on spec i es abundance or d i stri buti o n on

l arval and j uven i l e fi sh i n lake Okeechobee due to mechani cal h arvest i ng

However the avai l ab i l i ty of an i mportant habi tat i s bei ng removed

Consequentl y more extens i ve short- term and l ong -term stud i es shoul d be

conducted over a broad t ime span

9 - 1 4

IX E SUMMARY ANP CONCLUSIONS

1 Heterandria formosa Leoomis sp and Gambusi a affi n i s were

the three most abundant fi sh spec i es wh1 1 e centrarchi d eggs were the

most abundant egg spec i es col l ected

2 Thus far 2 1 speci es ( or 44) of those found i n the l ake have

been col l ected

3 Nearly al l the post1 arvae were col l ected i n pl ankton tows and

weed harvest s ampl es whi l e juven i l es were taken i n l i ght traps

4 The weed harvest s ampl es contai ned the greatest abundance of

organ i sms

5 There seems to be no strati fi cati on i n the veri t i cal

d i stri buti on of fi sh wi th i n the vegetated habi tat

6 There was a stati sti cal l y s igni fi cant d i fference between the

number of fi sh in the vegetated habi tat and those i n the open water

hab i tat

7 There was no stati sti cal l y s i gn i fi cant d i fference i n speci es

d i vers i ty between the harvested edge and natural edge

8 Leoomis s p appear to uti l i ze al l five habi tats for speci fi c

purposes and to a d i fferent extent

9 Mechan i cal harvesti ng seems to have had no stati sti ca l l y

s i gn i f icant short-term impacts on spec i es abundance or d i stri but i on on

l arval and juven i l e fi sh in Lake Okeechobee thus far

10 The avai l ab i l i ty of an i mportant habi tat i s be l ng removed by

the weed harvester

9 - 1 5

LITERATURE C ITED

Bai l ey W M 1 978 A compari son of fi sh popul at i ons before and after extens i ve gass carp stocki ng Trans Am F i s h Soc 1 07 181 - 206

Barnett B S and R W Schne i der 1 974 F i sh popul ati ons i n dense submersed pl ant commun i t i es Hyac i nt h Contr J 1 2 1 2 - 1 4

Chubb S L 1986 Dens i ty and d i stri but i on o f l arval fi shes i n Pentwater Marsh a coastal wetl and on Lake M ich i gan J Great Lakes Res 1 2 ( 4 ) 332-343

Col l e D E and J Y Shi reman 1980 Coeffi c i ents of cond i t i on for l argemouth bas s bl ueg i l l and redear sunfi sh i n Hydri l l a - i nfested l akes Trans Am Fi sh Soc 109 52 1 - 53 1

Gregory R S and P M Powl es 1 985 Chronol ogy d i stri but i on and s i zes of l arval fi sh samp l ed by l i ght traps i n macrophyte Chenung Lake Can J Zool 63 2569 -2577

Hal l er W T 1 980 F i sh harvest resul t i ng from mechan i cal control of Hydri l l a Trans Am Fi sh Soc 109 51 7 -520

Lantz K E J T Daves J S Hughes and H E Schafer Jr 1 965 Water l evel fl uctuat i on - - i ts effects on vegetat i on control and fi sh popul at i on management Proc Annual Conf SE Assoc Game amp F i sh Comm 1 8 483-495

Macc i n a M J and J Y Shi reman 1 982 I nfl uence on dense Hydrl l l a i nfestat i on on bl ack crappi e growth Proc Ann Conf SE Assoc F i sh amp W i l dl Agenc i es 36 394 -402

Mi kol G F 1 985 Effects of harvest i ng on aquat i c veget at i on and j uven i l e fi sh popul at i ons at Saratoga Lake New York J Aquat Pl ant Mgt 23 59 -63

Pal l er M H 1 987 Di stri but i on of l arval fi sh between macrophyte beds and open channel s i n a southeastern fl oodpl a i n swamp J Freshwater Ecol 4 ( 2 ) 1 9 1 - 200

Rozas L P and W E Odum 1 987a F i sh and mi crocrustacean use of submerged pl ant beds in t i dal freshwater marsh creeks Mar Ecol Prog Ser e 38 10 1 middot 108

Rozas L P and W E Odum 1987b Use of t idal freshwater marshes by fi shes and mcrofaunal crustaceans al ong a marsh stream-order grad ent Estuari es 10 ( 1 ) 36 -43

Snyder D E 1 983 F i sh eggs and l arvae I n L A N i el sen and D L Johnson ( eds ) F i sher i es Techn i ques Southern Pri nti ng Co I nc Bl ackburg VA p 166 - 167

9 - 16

Tabl e 9 1 Ana l yses of vari ance ca l cu l ated for pl ankto n tows and l i ght trap s amp l es for September and January s amp l ings

S t mb r 23 1 987

S t at i ) n

CQIJ n t Hi-an S t j DiIv

S t j E r r Vr- i n c C ) i- r r Vr M i n imum M alt i m IJ m

1 -WoiY ANOW

Troiltill1i n t Er l or-

Tot a T

F-t e s t Rat i o

Li 9 h t Tri o Simo T

C IJ nt M in

S t middotj CIiV S t d E I r

V i r i in c C )i r f VJr

Mi n i mlJm

Ma( i m um

1 -WJY ANI)VA

71-=03 t mi n t

Er r o rmiddot

25 1 1 1 7 1 73

57 24 24il l 58 1

53 578

l s

4 2 7 1)6 -

-

bull bull j-4 90

1 52 84

33 1 3 03

-r c T -

J

7 2c2 7 1 1 63 06

63 52 2245 32 i 1

3 43

SS

1 48092 3

2572

26 1 1664

1

1 42

2 45 -

-

5 3 1 7 1 63

1

7 3 1

SS

66 13 3 1 5 4)

38 1 53

4

6 383 1 7 65 1 4

230 72 3 1 lt0337

1 47 49 4lt

1 506

DF

3 23

26

2

3 99

1 49 bull oJ

2 22 1 49 86

- - 4 (3

OF co J

co oJ

5 3 1 Be) 330 53 1 5 1 bull 6 1 1 53 1 2

8 67 e J

75 1

MS

49364 12 107 1 1 1 a

3

3 73 17 bull 1 C) 03

23 i3 53

83

Mshy

D 23 7 86

4 II w

37 bull 3 43 e bull J (

1 7 middot _ bull 1 3 3 1

43 34 6(1 36 - I 0

1 4 1 7

Tabl e 9 1 conti nued

3 4 oJ

CrIJ nt 4- 5 3 4 M rl 4 1 5 01) 548 00 7)4 67 1 562 00

5 t j D 1 520 60 643 23 03 I 2053 65

S t j Er r 261) 30 287 6 46( 33 1 026 33 Voir- h r c -o 27 1 025 4 1 33 1 4 653middot25 42 1 7476 C Hd f VJr 1 25 45 1 1 7 39 1 1 4 76 1 3 1 43

Mi n i mlJIT fr oJ) 3 54 330 11a(imJm l 1 S8 1 642 1 6 1 0 4608

l -W y ANQVA

S5 OF MS

r tme n t 32601 7 1 3 1 086724

Er r o r 1 6423671 12 1369056

iot Jl 1 1638342 1

F-t est R t i ) 71

Tabl e 9 2 Student t -tests analyses cal cul ated for p l ankton tows and 1 i ght trap sampl es for September and January sampl i ngs

t -Gear Stati on Habi tat Mean S D Stat i st i c plt0 05

L ight trap 1 bottom vegetated 23 88 6 252 L i ght trap 5 open water 8 35 0 495 3 308

Light trap 1 surface vegetated 27 70 24 13 L i ght trap 1 bottom vegetated 23 88 6 25 0 307 NS

Pl ankton tows 3 harvested edge 27 89 6 92

Pl ankton tows 4 natural edge 33 57 1 5 06 -0 685 NS

Pl ankton tows 2 harvested 34 88 9 74 5 open water 50 82 26 42 - 1 133 NS

Tabl e 9 3 Temperature ( OC) pH ( standard un i ts ) conducti v i ty (lIIIIhos ) and d i ssol ved oxygen (mgl ) for fi sheri es Stat i ons 1 - 5 September and January sampl i ng s

SeDtember

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( OC ) 28 03 28 02 27 93 28 32

pH 7 83 7 84 7 96 8 1 2

Conduct i v i ty (nmhos ) 0045 0039 0038 004 1

D O (mgl ) 4 3 4 0 5 3 5 4

January

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( oC ) 16 99 16 97 16 85 16 74 16 80

pH 7 10 7 1 7 7 07 7 1 3 7 1 0

Conduct i v i ty (nmhos ) 0018 0020 00 18 00 16 00 16

D O ( mgl ) 8 1 8 6 8 4 8 6 8 4

Tabl e 9 4 L i st of fi sh spec i es from Lake Okeechobee September s ampl e s

Engraul i dae Anchovi e s

Anchoa mi tchi l1 1

Cypr i n i d ae

Notemigonys crysol eucas NotroDi s sp

Cypri nodont f dae

Jordane1 ] a fl oridae Lycania Darva

Poeci 1 i i dae

Gambys1a affinis Heterandr i a formosa poec1 l ia l atjpi nna

Atheri n i dae

Menid i a s p

Centrarchi dae

LeDomi s macroch1 rys LeDomi s s p

Gob i i dae

Gobiosoma robystym Microgob1 ys gyl osys

bay anchovy

Carps amp M i nnows

gol den shi ner s h i ner

Ki 1 1 i fi shes

f1 agfi sh rai nwater ki l l i fi sh

Li vebearers

mosqu i tofi sh 1 east ki l l i fi sh s a i l fi n mol l y

S1 1 vers i de s

s i l versi de

Sunfi shes

bl uegi l l sunfi sh

Gob i es

code goby cl own goby

Tabl e 9 S Li st o f fi sh speci es from Lake Okeechobee January sampl es

SDec1 es Common Name

Cypr i n idae carps and minnows

HotroDi s s p sh i ners

Poec l l i l dae l l vebearers

Gambusi a aff1 n 1 s mosqu l tofi sh Heterandri a formosa l east kl l l i fi sh

Ather i n idae s l l vers ides

Centrarch l dae sunfl shes

LeDom1 s sp sunfi sh

Percl dae perches

Gob1 1 d ae gob l es

Tabl e 9 6 li st of al l fi sh spec i es col l ected to date i n lake Okeechobee sampl es

Species Common Name

Engrau1 i dae anchov i es

Anchoa mi tch ll 1 i

Cypr i n i dae

Notemigonus cryso1 eucas Hotropi s s p

Cypri nodont 1 dae

Jordane1 ]a f] ori dae lucan i a parva

Poec l 1 i l dae

Gambysi a affi n i s Heterandri a formosa poec1 l i a l atpi nna

Ather1 n 1 dae

Meni d ia sp

Centrarch idae

LeDomis macroch i rus LIPomis s p

Perc i dae

Gob1 i dae

ampobiosoma robustum M1crogobiys gu l osus

bay anchovy

carps and mi nnows

gol d en s h i ner sh i ner

ki l l i fi sh

f1 agfi sh rai nwater ki l l i f1 sh

l i vebearers

mosqui tofi sh l east ki l l i fi sh sai l f1 n mol l y

s i 1 versi des

si 1 versi de

sunfi shes

bl ueg i l l sunfi sh

perches

gobi es

code goby cl own goby

Tabl e 9 7 Mean number of i nd i v i dual s ( per s peci es ) per hectare at each habi tat for September and January pl ankton tows ( No pl ankton tows i n unharvested weeded areas )

SEPTEMBER 1987

F I SH

Cypr i n i dae NotroDi s sp Lucani a Darya Gambysi a affin i s Heterandri a formosa Men l di a spp Centrarch idae Lepomi s s p Gobi osoma robystum Mi crogobi ys gyl osys Un i denti fied

TOTAL HECTARE TOTAL SPEC I ES

fGGS

ANJABY laa

F I SH

Cypri n idae Cypri nodonti dae Gambysa affi ni s Atheri n idae Centrarch i dae lepomi s s p Uni dent i fi ed

TOTAL HECTARE TOTAL SPEC I ES

Centrarchidae spp Uni dent i fi ed

Harvested ( hec )

1 27 0 3 1 7 0 204 0 199 0 58 0

268 0 578 0 413 0

492 0

2656 0 8

Harvested ( hec)

56 0

230 0

1 188 0 186 0

1652 0 3

Harvested Edge

( hec)

39 0 6 1 0

439 0 395 0 281 0

6 1 0 143 0

1419 0 6

Harvested Edge

( hec )

380 0 1642 0 548 0

2570 0 2

58 0 1 1 2 0

Natural Open Edge Water

( hec) ( hec )

46 0 74 0

400 0 340 0 139 0 751 0

1 506 0 735 0 162 0 46 0 59 0

2299 0 1959 0 5 4

Natural Open Edge Water

( hec ) ( hec)

330 0 54 0

1610 0 4608 0 450 0 980 0

21 1 4 0 5918 0 2 2

330 0

Tabl e 9 8 Average number o f i nd i vi dual s caught per hour fi shed per habi tat i n l i g ht trap sampl es for September and January sampl i ng s ()

Veg a Veg a Harvested Harvested Natural Open Water Surf Bottom Bottom Edge Edge

eEtIE I s 1 2 3 4 5 Surface

Cypri n i dae 0 37 0 83 0 70 0 30 2 2 Notemogonus

crysol ecas 1 07 1 07 Notropi s S P a 1 68 1 01 0 27 2 95 Cypri nodont i dae 0 19 0 19 Lucan i a parva 0 33 0 37 0 70 Heterandri a

formosa 18 03 7 81 0 70 0 53 27 07 Gambusi a affi n i s 7 03 1 7 1 0 67 9 4 1 Men i d i a SP a 4 63 0 83 1 40 0 30 7 16 Centrarchi dae 1 70 1 70 Lepomi s macroch i rus 0 57 0 57 Lepomi s SP a 0 37 0 37

( 0 58) Perci dae (0 30) ( 0 28) Gobi idae 0 76 0 76 Gobi osoma robustum 0 39 0 27 0 37 0 87 1 90 Mi c rogobi u s gul osus 0 97 1 40 1 33 3 70 Un i denti fi ed 0 33 0 19 0 70 1 22

(0 25) fill Anchoa mi tchl 1 l i 0 1 9 Atheri n i dae 0 33

Tabl e 9 9 Total number o f fi sh per spec i es per 100 kg o f Hydri l l a i n the weed harvest sampl es for September and J anuary

Total Rep 1 Rep 2 Rep 3 PEtIE Organ i sms 100 kg 1 00 kg 100 kg

SEPTEMBER

Notrop i s sp 32 5 1 7 27 5 77 5 52 2 Jordanel l a fl ori dana 1 4 0 6 0 3 3 Lucan 1 a p arva 9 27 8 4 6 6 0 12 8 Poec i l l idae 1 4 6 1 5 Gambus i a affi n i s 92 1 1 5 2 1 19 2 220 5 1 5 1 6 Heterandri a formosa 309 500 6 380 4 595 9 492 3 Poec i l i a l at i p i nn a 5 9 2 1 7 9 9 0 Lepomi s sp 2 9 2 3 1 Un ident i fi ed 45 55 6 4 1 2 1 3 1 1 227 9

Ess1 Ather i n i dae 20 1 1 9 50 4 35 8 32 7 Un i den t i fi ed 1 1 1 5 9 9 2 29 8 1 8 3

JANUARY

Notropi s sp 1 5 8 1 9 Heterandri a formosa 1 5 8 1 9

W1 Centrarchi dae 4562 26660 8 36 1 8899 0 Un i dent i fi ed 1 334 7801 2 2600 4

APPROXI MATE W E E D LINE

LAKE OKEECHOBEE

f

1 _middot-

NORTH LAK E S H OAL

-

Fi gure S l S i t e of c ht hyopl a n kton sampl i n g a l o ng ha rve s ted transect 3 a n d 4 Tra n s e c t 3 wa s the a rea of harves ted Hydri l l a col l e c ti o n a nd Tra n s e c t4 wa s the area of p l a n k to n tow a nd li g ht trap col l ec ti o n

O P E N L A K E

bull bull bull

2 5

3

WEEDED AREA

Fi gure 9 4 S chema t i c o f I c h t hyopl ankton samp l i n g s t a t l ons

middot

Fi g u re 9 3 Ap proxima te s ta ti o n area de s i g na ti o ns for l i g h t tra p and p l a n k to n tows a l ong tran sect 4

middot F i gure A Drawi ng of the s i de-moun ted appa ra tus conta i n i ng two JOcm mouth J6Ju mes h coni ca l

p l ankton nets

Waterproof Flashlight

P lastic Colec tion Jar

505u Mesh Plankton Netting

Collar

r---c------i I----+----Hinge

Collection Funnels

Monofilament Handle for Rope and Bouy Attachment

Fi gure 9 5 Schema t i c of l i ght trap used a t the surface of S tation 1 a nd bottom a t Stati ons 1 - 5

(J) a U a lt U a L1 2 (J) - -U LL -c j z Q o z Ci5 lt 0 a 0 () rJl

Figure 96 Numbers of Llvebearers and Killifish 8S percent of total number collected by habitat for September and January samplings c ombined

1 00 -

8 0-

6 0-

4 0-

2 0-

a VE G

( 1 5 1 )

I I I I HARVESTED HARVESTED NAT U R A L

EDGE EDGE

( 5 9 7) ( 7 5) ( 7 5)

H A B ITAT

( TOT AL FIS H COLLECT E D )

OPEN W AT E R

( 1 00)

0 W I-0 W J J 0 0

en IL IL 0

igure 97 Tota l of fish larvae (pro post juv) and fish eggs by methodology use d for

Lake Okeechobee 0 I and 0 2 samplings combined (Total of fish = 9 9 6 Total of eggs =5 9 3 I )

6 0 0- 6 000

5 0 0- 5 0 0 0

0 w 0 lampJ

4 0 0- J 4000 J 0 0 C) CJ 0 bJ

3 0 0- IL 3 0 0 0

-

OO- 2 0 0

1 0 0- 1 0 00

0 0 1- Z en I- en 0 w en 0 = I c w w 1- 0 O lt gt 1-

- 0 0 Z

J I-lt lt I J c

M ET H O D O L O G Y

0 1- Z en w en 0 = W IJJ 1- 0 gt I-0 lt lt I J c

M ET H O D O L O G Y

I- en I c o lt - 0 J I-

X BENEFITCOST ANALYSIS

X A INTRODUCTION

The economi c feas i bi l i ty of impl ement i ng a l ake-wi de mechan i cal

weed harvesti ng program for Lake Okeechobee can be determi ned by

compari ng the economi c costs of weed harvest i ng wi th the economic

benefi ts as soci ated wi th weed removal and val ue of by- products from

harvested aquati c weeds Thi s sect i on of the Hi d- Course Summary Report

provi des a bri ef overvi ew of the prel imi nary efforts i n devel opi ng an

economi c deci s i on framework

X B ECONOMIC DECISION FRAMEWORK

B l BenefitCost Analysis

The i n i t i al scope o f work for phosphorus removal i n Lake

Okeechobee i ncl uded more than one techn i que for reduc i ng the phos phoru s

content of the l ake Based on the orig i nal scope of work the economi c

anal ys i s for thi s project woul d i nvol ve devel opi ng an economi c deci s i on

framework i n wh i ch the vari ous techn i ques ( L e mechani cal weed

harvest i ng sediment removal ) and the various methods of di sposal ( i e

feedstock l and d i sposal so i l amendment b i omass -to-energy ) wou ld be

presented i n a matr i x format resul t i ng i n a number of al ternat i ves The

benefi t and cost anal ys i s woul d be performed u s i ng a net present worth

approach i n whi ch future benefi t and cost fl ows wou ld be converted to

1988 base dol l ar val ues Then the al ternati ves woul d be ranked by thei r

net present worths

Because o f the d i ffi cul ty i n obtai n i ng the necess ary permi ts

( e g FDER dredge and fi l l ) and budgetary restri cti ons sed iment removal

was el i mi nated as a phosphorus removal techni que i n the fi nal work pl an

Consequentl y the benefi t and cost anal ys i s has been s i mpl i fi ed to

cons i st of onl y one techn i que of phosphorus removal ( i e mechan i cal

weed harves t i ng ) The probl em can be further s i mpl i fi ed by treati ng the

economi c benefi ts of by-product uti l i zati on as negati ve costs Thi s

10- 1

resul t s i n h av i ng only i ntri ns i c val ues ( i e phosphorus removal

aesthet i cs i mproved water qual i ty i ncreased recreat i on ) to eval uate on

the benefi ts s i de of the equat i on Consequentl y the economi c analys i s

can be reduced t o a probl em that can be sol ved by the cost - effect i veness

method

Cost -effect i veness i s a method of eval uat i ng al ternat i ve projects

for wh i ch the benefi t s cannot be eval uated i n economi c terms I n thi s

part i cul ar case the benefi ts assoc i ated w i th aquat i c weed removal are

i ntri n s i c and not eas i l y quant i fi ed The economi cal l y effi c i ent sol ut i on

i s the method of d i sposal whi ch mi n i mi zes the costs of weed harvest i ng

The method o f d i sposal t hat ach i eves the greatest benefi t s per un i t cost

or i n th i s case the l east cost per uni t benefi t woul d be preferred

B2 Financi al Feasibi l i ty

Thi s economi c dec i s ion framework assumes that the South Fl ori da

Water Management Di stri ct has al ready determi ned that phosphorus removal

by mechan i cal weed harvest i ng i s the Di stri ct s goal and that the

obj ect i ve i s to mi n i mi ze the costs assoc i ated wi th ach i ev i ng that goal

However the Di str ict has not yet coitted the funds to cont i nue the

weed harvest i ng proj ect Therefore it woul d be advantageous to eval uate

vari ous al ternat i ves i ncl udi ng the Di stri ct s purchasi ng i ts own

equ i pment

The fi nal work product of the econom ic anal ys i s wi l l i nc l ude

est i mated costs i n dol l ars per acre and per ton of Hydri 1 1 a harvested

Because phosphorus removal i s a key aspect of th i s proj ect cost per

pound of phosphorus on a per acre bas i s wi l l al so be determi ned

Est i mated cost per pound of phosphorus per acre wi l l be cal cul ated us i ng

t o t a l h arvest i ng costs and ranges of phosphorus content for

representat i ve areas of the Hydr1 l l a mat

The factors that contri bute to h arvest i ng costs i nc l ude both fi xed

and vari abl e cost s F i xed costs are those costs that do not change wi th

quant i ty of output and cons i st of cap i t al costs ( i e major equ i pment

purchases bu i l d i ngs and l and) wages of sal ari ed personnel and i n i t i al

start -up costs Vari abl e costs are those costs that change w ith quant i ty

1 0 - 2

of output and i ncl ude the cost of operat i ng suppl i e s wages of hourl y

personne 1 fuel consumpt i on and other costs assoc i ated wi th operat i ng

the equi pment

Approxi mate l i st pri ces for the harvest i ng equ i pment used by the

contractor for the weed harvest i ng demonstrat i on on Lake Okeechobee are

presented i n Tabl e 1 Estimated operati ng costs such as fuel consumpt i on

and mai ntenance costs for these i tems are d i scussed i n the fol l owi ng

paragraphs

The two HIO800 harvesters are the 1 argest harvesters made by

Aquamari ne and represent current technol ogy Th i s part i cul ar model has a

Kubota d i esel eng i ne that uses an esti mated 0 5 gal l on of fuel per hour

Wi th proper preventi ve ma i ntenance the equ i pment shoul d be operat i onal

for 1 0 000 hours Based on an operati ng year of 1 000 hours mai ntenance

costs are estimated to be approxi mately S 1 00 per hour Contractorshy

speci fi ed mod i fi cati ons for the harvesters i ncl ude snake screens and

represent rel ati vel y mi nor changes that are i ntended more for safety of

the operator than for operat i onal effi c i ency

The h i gh- speed HS12 - I4000 transporters are a new product offered

by Aquamari ne The S25 000 pr i ce add -on i s due to the subst i tut ion of

two Vol vo i nboardoutboard eng i nes for a total horsepower of up to 275

Fuel consump t i on i s estimated by the manufacturer to be two to fi ve

g al l ons an hour (maximum consumpti on) when both eng i nes are runn i ng

The two TC 800M trai l er conveyors are speci al -order i tems wi th

mod i fi cat i ons that i ncl ude a gooseneck h i tch for a tractor Aquamari ne

makes a smal l er model that l i sts for approxi matel y S6 000 However for

thi s part i cul ar weed harvesti ng demonstrat i on i t i s i mportant to note

that the bed capac i t i es of the harvesters the transporter and the

trai l er conveyors are the same (800 cubi c feet ) and thus transfer t i me

i s mi n im i zed

These costs represent a substanti al capi tal expend i ture for e i ther

a publ i c agency or a pri vate fi rm In order to arri ve at a standard i zed

cost for equ i pment these costs suppl i ed by Aquamari ne wi l l be

suppl emented wi th cost data from other manufacturers of comparabl e

equ i pment The dec i s i on on whether to i nvest i n equ i pment can be

eva 1 uated us i ng the present d i scounted val ue approach That i s the

10-3

current val ue of the i nvestment wi l l take i nto account the effect of the

d i scount rate Because the d i scount rate i s somewhat arbi trary and even

a smal l change i n the d i scount rate can have a 1 arge effect on the

present d i scounted val ue a sens i t i v i ty analys i s wi l l be performed on the

cal cul at i on

A rev i ew of l i terature on mechani cal weed h arvest i ng d i d not

produce cost document at i on on Hydr11 1 a but i nstead reveal ed that t he

majori ty of publ i shed research on aquat i c weed harvest i ng concerns other

aquat i c weeds such as water hyac i nth and mi 1 foi 1 For exampl e Koega1 11

11 est i mated that the cost per acre of harvesti ng aquati c weeds

( unspec i fi ed ) for two projects i n Wi sconsi n from 1 972 to 1 973 was $68 4 1

Th i s cost fi gure may or may not be representat i ve of Hydri 1 1 a

Therefore i n order to arri ve at reasonabl y accurate harvesti ng costs for

Hydr1 1 1 a i t wi l l be necessary to obtai n from ISampT the fol l owi ng dat a

o fuel consumpt i on

o number of l oads harvested

o operati ng hours

o downtimeprevent i ve mai ntenance hours

o wage rates for both sal ari ed and hourl y personnel

o number of empl oyees by type and

o costs associ ated wi th the purchase of suppl i es

Uni t costs on a short middotterm bas i s ( i e the t i me l ength of t he

demonstrat i on project) wi l l be extremel y h i gh due to the l arge cap i tal

costs i ncurred Therefore the project w1 1 1 al so be eval uated on a l ongmiddot

term bas i s ( i e the l i fe of the equ i pment ) for wh i ch the un i t costs

wi l l decrease consi derabl y

I n sUlllllary the fi nal work product for t he economi c anal ys i s

port i on of th i s project wi l l cons i st of a cost-effect i veness study and a

f i nanc i al feas i bi l i ty study The cost-effect i veness study wi l l focus on

methods of d i sposal The fi nanc i al feas i bi 1 i ty study wi l l i nvol ve

eval uat i ng the project on a cost per pound of phosphorus on a per acre

bas i s

1 0 -4

Tabl e 10 1 Approxi mate Cost of Major Equ i pment Used i n the lake Okeechobee Weed Harvest i ng Demonstrat i on

Quant i ty

2

2

1

Name

Harvestors

Conveyors

Transporter

Model

HIO800

TC800M

HS1 2 - 1 4000

li st Pri ce (each)

spec i al mod i fi cati on requested by contractor

Made-to -Order Pri ce (each )

$87 000

$20 000

$60 000

$30 000

$85 000

Source Personal Commun i cat i on wi th Todd Rathkamp Aqua Mar i ne D i v i s i on o f Erectowel d I nc 1 988

DSA Group Inc 1 988

  • MRT 123 Pt 1-3 69p
  • MRT 123 Pt 4 59p
  • MRT 123 Pt 5-6 81 p
  • MTR 123 Pt 7-10 76p

TABLE OF CONTENTS

I EXECUTIVE SUMMARY MID COURSE REPORT 1 - 1

II LAKE OKEECHOBEE LITERATURE REVIEW 2 - 1

III BIOMASS - MID-COURSE SUMMARY 3 - 1

IV WATER QUALITY SURVEYS 4 - 1

V PHYTOPLANKTONPRIMARY PRODUCTIVITY STUDIES 5- 1

VI COMMUNITY METABOLISM 6 - 1

VII SEDIMENT CHEMISTRY 7 - 1

VIII BENTHIC FAUNA IMPACTS 8- 1

IX LARVALJUVENILE FISH TASK 9 - 1

X BENEFITCOST ANALYSIS 10 - 1

EVALUATION AND RESEARCH OF IMPACTS

OF MECHAN I CAL WEED HARVEST I NG I N LAKE OKEECHOBEE

I EXECUT IVE SUMMARY - MID-COLIRSE REPORT

Mote Mari ne Laboratory assi sted by DSA

Envi ronmental Qual i ty Laboratory i s mi dway through

research project conducted for the South Fl ori da

Grou p I nc and

an eval uat i on and

Water Management

D i str i ct to assess the envi ronmental i mpacts of mechani cal harvest i ng of

Hydri l l a The harvest i ng and subsequent upl and d i sposal of materi al are

be i ng performed as a demonstrat i on project to eval uate the nutri ent

( part i cul arl y phosphorus ) removal potent i al and operati onal costs of th i s

techn i que The study s i te ( F i gure 1 1) i s on the northwestern shore of

Lake Okeechobee where approxi mate ly 1000 acres of Hydri 1 1 a are to be

harvested by I nternat i onal Sc i ence and Technol ogy I nc together wi th

L a ke Weed Cutt i ng Serv i ce I nc Spec i f i c i mpacts and s i te

characteri stics to be eval uated incl ude s i te b i omass water qual i ty

phytopl ankton and pri mary product i v i ty cOlMlun i ty metabol i sm sed i ment

chemi stry benth i c i nfauna and ep i phyte commun i t i es and l arval and

juven i l e f i sh popu l at i on s In add i tion a cost benefi t anal ysi s i s to be

performed address i ng the harvest i ng vari abl es and poss i bl e products to

opt i m i ze the cost effect i veness of harvesti ng A l i terature survey of

pert i nent top i cs i s al so i ncl uded as a separate tas k and the enti re

project i s conducted under the auspi ces of a Qual i ty Assurance program

des i gned to ensure the prec i s i on accuracy representat i veness and

compl eteness of al l data

The l i terature survey i s compl ete and over 400 annotated documents

have been comp i l ed i nto a cOlMlercial l y avai l abl e b i bl i ograph i c retri eval

system by key words Task members are abl e to request searches of th i s

database for i nformati on on top i cs spec i f i c to the i r tas k I n add i t i on

summari es o f i nformat i on on sel ected keywords such as Hydri l l a

phosphorous and others have been prepared a s Lake Fact Sheetsmiddot

The bi omass sampl i ng (August 19B7) was del i beratel y conducted i n

a wide range of growth cond i t i ons for eval uat i on of Hvdri l l a dens i t i es

and nutri ent content A cond i t i on i ndex was devel oped to eval uate pl ant

1-1

maturi ty Hvdri l l a senescence and peri phyton i nfestat i on was accompan i ed

by an areal decl i ne i n both bi omass and nutri ent content Max i mum

n i trogen and phosphorus t i ssue concentrat i ons were associ ated with ful l y

mature pl ants pri or t o senescence The presence o f other macrophytes was

respons i bl e for most wi thi n- stati on vari ati on Th i s task i nc i dental l y

d i scovered l arge seasonal d i fferences i n Hydr i l l a phosphorus and n i trogen

content Sampl es col l ected at the study s i te by ISampT duri ng J anuary

1988 were roughly f i ve t i mes h i gher i n phosphorus content than the

materi al col l ected by thi s project duri ng August 1987

Water qual i ty wi thi n the s i te represented an extremel y dynami c

system The i n fl uence of the Ki s s immee Ri ver and any other l ocal

d i sch arges produced d i l ut i on grad i ents across the s i te Vari at i ons i n

qual i ty were apparent between sampl i ng dates Numerous v i ol at i ons of the

i nstantaneous d i ssol ved oxygen cri ter ion (5 0 mgl ) were recorded

part i cu l arl y near the lake bottom Damp i ng of d i urnal oxygen extremes

was observed i n the harvested transects Al l n i trogen spec i es and total

phosphorous were h igher i n the unharvested transect waters than i n the

harvested transect The d i fference may be due e i ther to nutri ent

ut i l i zat i on i n the regrowth areas or to the rel ease of nutri ents from the

senescent Hydr i l l a mat present i n harvested areas The ent i re study s i te

was n i trogen l i mi ted wi th N P rat i os ( by we i ght ) of 3 0 i n the harvested

areas and 9 4 i n the unharvested control s

li ght penetrati on of the water at al l harvested stat i ons was

demonstrated to be s i gn i fi cantl y h i gher than at the unharvested control s

duri ng September onl y By January regrowth of Hvdri l l a produced

s l i ghtl y smal l er compensat i on depths on the harvested transect

Grad i ents i n l i ght penetrat i on were al so apparent wi th i n the experi mental

transect and may be rel ated to t ime s i nce harvest Vert i cal grad i ents

for in 1i1Y data were part i cul arly apparent at the weeded stat i ons

Bl ue-green al gae were the domi nant phytopl an kton taxa at al l

stat i ons d uri ng the September sampl i ngs Thi s domi nance was much reduced

duri ng J anuary when more green al gae were present Di vers i ty and number

of tax a i ncreased at four of the s i x stat i ons i n January but no

cons i stent pattern was apparent for e i ther harvested or control stat i ons

I n add i t i on there were no systemat ic d i fferences between harvested and

1 - 2

unharvested areas on the bas i s of spec i es compos i t i on Vari at i ons i n

chl orophyl l content al so were affected more by seasonal cond i t i ons than

by harvest i ng

The conunun i ty metabol i sm measurements conducted durlng September

1 987 i nd i cate probabl e d i fferences i n oxygen budgets for control and

harvested areas al though i n i t i al stat i st i cal methods d i d not establ i sh

the s i gni f i cance of such d i fferences Th i s was attri buted to anomal ous

data col l ected at a stat i on with unusual sed iment character i s t i cs ( h i ghly

organ i c unconsol idated f i ne grai ned mater i al in contrast to f i ne

grai ned sand ) Add i t i onal data analyses wi l l excl ude thi s stat i on from

cons i derat i on and future sampl i ngs wi l l be conducted at al ternate

l ocat i ons Di fferences by treatment duri ng the January sampl i ng were not

as pronounced as i n September and i nd i cate that regrowth of Hvdri 1 1 a with i n t hat peri od had offset harvest i ng e ffects

Sed i ment heterogenei ty was marked wi th i n the s i te with organ i c

w ith nutri ent content were fa i rl y l ow Organ i c content averaged 0 7

n i trogen 0 27 mgg total phosphorous 0 08 mgg and potass i um 0 49 mgg

on a dry we ight basi s Ni trate-n i tri te -n i trogen concentrati ons were l ess

than 1 of the total present Total n i trogen tota1 phosphorous rat i os

averaged 3 1 and were markedl y l ower than comparabl e rat i os i n e i ther t he

water col umn or the bi omass sampl es refl ect i ng a preferenti al

mobi l i zati on of n i trogen from s i te sed iments Few stat i st i cal l y

s i gn i f i cant d i fferences were detected a s a resul t o f w ith i n - stat i on

vari ati ons and the col l ect i on of more total phosphorus and total n i trogen

val ues are proposed for the second effort of th i s tas k

Data anal yses t o date for benth i c i nfauna i ncl ude preharvest and

postharvest cond i t i ons duri ng August and October respect i vel y The

August fauna was notabl y depauperate both i n taxa and numbers of

i nd i v i dual s wh i l e pronounced i ncreases in both were observed for

October D i urnal l y oxygen - poor cond i t i ons part i cul arl y duri ng August

may l i mi t benth i c fauna Spati al grad i ents were al so noted w ith

decreas i ng s pec i es ri chness and faunal dens i ti es at the southern end of

the study area Experimental and control stat i ons exh i bi ted s i mi l ar

faunal densi t i es and spec i es richness pri or to harvest wh i l e both

1 -3

parameters were substant i al ly greater at the harvested stat i ons duri ng

the October sampl i ng

Based on sampl i ngs i n September and J anuary the l arval and

juven i l e f i sh task col l ected 44 ( 2 1 ) of al l spec i es prev i ously reported

for Lake Okeechobee F i ve habi tats represent i ng both natural and

harvested edges and open water as wel l as heav i ly vegetated areas

were sampl ed Heterandria formosa LeDomi s sp and Gambus i a aff i nis

were the most abundant spec i es Centrarch i ds were the most abundant eggs

recovered The col l ect i on methods were f a i rly specif i c for part i cul ar

l i fe stage juven i l es were taken primari ly i n l i g ht trap sampl es whereas

postl arvae and eggs were taken i n pl ankton tows and Hvdri l l a sampl es

col l ected by the harvester LeDomi s s p appears to ut i l i ze al l fi ve

hab i tats dependent on l i festage No vert i cal strat i fi cat i on of organ i sms

was detected i n the weeded hab i tat and spec i es d i vers i t i es were

equ i val ent at both natural and harvested RedgesR of the Hydri l l a mat No

stat i s t i ca l ly s i gn i f i cant short term i mpacts of harvesti ng on spec i es

abundance or d i str i buti on are apparent

The cost-benefi t analys i s i s restri cted to eval uati ng mechan i cal

harvest i ng al one Benefi ts of thi s techni que wi th the except i on of

sal eabl e byproducts or costs assoc i ated wi th harvested mater i al are

pr i mari l y non -quanti fi abl e ( i mproved habi tat and water qual i ty boater

access nutri ent removal ) Therefore ranges of econom i c parameters wi l l

be ut i 1 i zed together wi th operat i ona 1 data from harvest i ng and

env i ronmental vari abl es from th i s project to present an economi cal l y

opt im i zed harvest i ng pl an to the Di stri ct

I n sunvnary no catastroph i c impacts due to mechan ical harvest i ng

have been detected i n the foregoi ng categori es al though subtl e

d i fferences have been determi ned by the study des ign Harvest i ng reduces

the amount of oxygen stress i n the study area and the nutri ent content of

the water col umn i s l ower i n the harvested than the unharvested areas

The s i te i s n i trogen l i mi ted based on water col umn sed i ment and pl ant

t i ssue anal yses Seasonal vari at i ons are l arge wi th respect to

d i fferences between harvested and unharvested areas for a l gal and l arval

fi sh popUl at i ons Spati al grad i ents were apparent i n many parameters

1 -4

The qual i ty assurance program associ ated wi th thi s project has

thus far conducted a systems aud i t for the pl an of study and at l east one

performance aud i t on f i e l dwork A Qual i ty Assurance Project Pl an has

been prepared and i s i n use as a project control document Aud i ts of

data management and anal ysi s are pl anned for the fi nal report i ng phase

At mi d -course sampl i ng anal yses and del i verabl es are on

schedul e and the project is operati ng wi th i n the budget No probl ems are

foreseen to prevent t imely compl eti on of the remai nder of the schedul ed

work Where al terati ons to speci f ic tasks have been recommended the

support for these efforts wi l l be obtai ned by real l ocati on of funds

wi th i n the project rather than by add i t i onal fund i ng

1-5

o 18 bullbull UNnar tllllllllI UINL UNnan

_ bull 0111 II wilD LlMi

lAKE (J(EECH08EE

Figure 11 Stu dy site l ocation Evaluation and research of impacts o f mechanical harves ting in Lake Okeechobee

I

I I LAKE OKEECHOBEE LITERATURE REV I EW

I I A INTRODUCTION

A 1 i terature rev i ew was conducted as a d i screte task of the

research project The Eval uat i on and Research of Impacts of Aquat i c Weed

Harvest i ng Demonstrat i on i n Lake Okeechobee cond ucted by Mote Mari ne

Laboratory The purpose of the l i terature rev i ew was to provide project

team members wi th economi c geol og i c hydrol og i c chemi cal and

b i ol og i cal i nformat i on on Lake Okeechobee wi th part i cu l ar emphas i s on

water qual i ty probl ems concern i ng phosphorus storage and cycl i ng between

the water col umn sed i ments and aquat i c weeds

I I B METHODS

Three techn i cal el ements were undertaken i n compl et i ng the

l i terature rev i ew 1) ident i fy i ng and search i ng i nformat i on 2) creat i ng

f i l es and 3 ) devel opi ng outputs

I nformati on was obtai ned by rev i ewi ng journal s for art i cl es

search i ng card catal ogs of area l i brar ies contact i ng major authors

conduct i ng research and request i ng key word searches of avai l abl e

computer l i brari es Journal s searched i ncl uded The Journal of Aquat i c

Pl ant Management Quarterly Journal o f the Fl ori da Academy o f Sci ences

( and Fl ori da Sc i ent i st ) L i mnol ogy and Oceanography Hydrobi ol og i a and

North Amer i can Journal of F i sher i es Management L i brari es vi s i ted

i ncl uded Un i vers i ty of South Fl or ida Uni vers i ty of Fl orid a Mote Mari ne

Laboratory Southwest Fl or ida Reg i onal Pl ann i ng Counci l South Fl ori da

Water Management D i str i c t and the Okeechobee off i ce of the Fl ori da Game

and Freshwater Fi sh Commi ss i on Key word l i terature searches were

c o n d u c t e d on d i qu at Lake O keechobee Hyd r i l l a and

nutr i entsaquat i c pl ants u s i ng searches avai l abl e from the Fl ori da

Department of Env i ronmental Regul at i on the Un i vers i ty of Fl ori da Aquati c

Weed Program and the U S Fi sh and Wi l d l i fe Servi ce

2-1

I I C PRODUCT

After rev i ew each publ icat i on was cited keyworded and annotated

u s i ng ARTF I LE vers i on 3 02 software for l i brar i es and b i bl i ographic

storage

Two outputs were devel oped from the comp i l ed i nformat i on 1 )

annotated c i tation s of each i nd i v i dual report and 2 ) Lake Fact Sheets

wh ich summari ze ava i l abl e i nformat i on on a spec i fic top ic requested by

members of t he study team Lake Fact Sheets and keyword b i bl i ographies

were d i stri buted t hroughout the course of the study as requested by

i nd i vi dual project members Lake Fact Sheets and a key word l i st

fol l ow Annotated c i tat i ons appear i n Append i x 2 A

2-2

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on AQUATIC PLANTS

Entri es i n Bi bl i ography 69

( For more deta i l s on spec i fic top ics pl ease see other fact sheets i e

hydri l l a b i omass harvest i ng etc )

Types of stud i es noted

- -Aquat ic pl ant ecol ogy (Moss 1980 23 Lugo and Snedaker 1971 113

Bl ackburn n 11 1968 128 Canfi el d et J 1983 260 Cassan i and

Caton 1985 352 Marshal l 1984 386)

- -Informat i on on aquat i c pl ant communi t i e s as habi tat (Wi l ey etI 1984

34 Durocher niI 1984 38 Mi l l eson nI 1980 40 Watki ns et I

1983 45 Ager and Kerce 1974 190 Sav i no et il 1985 196 Richard

n iI 1985 262)

- -Aquatic pl ant and sed i ment rel ati onsh i ps (Engel and N ichol s 1984 44

Barko and Smart 1986 106 Barko et 11 1983 147 L i et I 1974

108)

- -Aquat i c p l ant management ( Fl or ida DER nI 1986 415)

- - Nutrjent removal by aquat i c pl ants ( Reddy and DeBusk 1985 132)

- -Stud i es on harvest i ng aquat i c pl ants and the effects of harvest i ng

( Carpenter and Adams 1978 17 Sabol 1987 37 Mi ko l 1985 41

Wi l e 1978 57 Neel n 11 1973 114 N ichol s 1974 115

Smal l et

I 1985 130 Wi l e 1975 135)

- -Stud i es on chemical and other control s of aquat i c pl ants ( H i l t i bran n

J 1972 105 Ganstad 1978 110 deNoyel l es and Kett l e 1980 118

M i l on n 11 1986 119 Smal l et I 1985 130 Sutton and Vand i ver

1986 139 Lesl i e and Kobyl i nsk i 1985 255 Langel and and DeMont

1986 227 Barrett 1981 342 Barrett and Murphy 1982 344 Cl ayton

and Tanner 1982 355 Frank and Comes 1967 364 Graham 1976 369

Hughes and McCol l 1980 377 Richard et I 1984 426)

- -Aquat i c pl ant chem i s try and phys i ol ogy ( LaLonde 1970 107 Gerl off

1978 111 Gerl off 1973 112 Bri stow and Wh i tcombe 1971 136)

- - Chl orophyl l a concentrat i ons and aquat i c macrophytes ( Canfi e l d et I

1984 263)

2-3

Produced by Mote Marine Laboratory for South Florida Water Management District

- -B i omass stud i es and methods ( Schl oesser and Manny 1984 14 Mace i n a

J il 1984 33)

- -Uses for aquat i c weed s such as cattl e s i l age ( Bagnal l n l 1978

18) and compost (Wi l e g1 Jl 1978 19)

--Stud i es concern i ng Hydrilla vertic1llata ( Bagnal l 1980 18 Bol e and

Al l an 1978 15 P i erterse J il 1984 42 Bruner and Batterson 1984

43 Bowes 11 il 1979 47 Sutton 1982 52 Sutton and Port i er 1985

53 Sutton and Port i er 1983 57 McGhehee 1979 57 Bal c i unas 1985

116 Mart i n 1983 146 Johnston n Jl 1983 36 Canfi el d et l

1983 265 Mace i n a and Shi reman 1982 281 Hodgson and Carter 1982 423)

2-4

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fa c t She e t on BIOMASS

Entri es i n B i bl i ography 14

Types of stud i es noted

- -A troph i c state i ndex for l akes based on al gal bi omass (Carl son 1977

2)

- -Chl orophyl l -b i omas s - nutri ent rel ati onsh i ps for phytopl ankton (Canfi el d

et gl 1985 4)

--An assessment of bi omass control for water qual i ty management (Wong et

li 1979 9) --Methodol og ies for est imat i ng or measuri ng bi omass (Schl oesser and

Manny 1984 14 Mace i na g1 li 1984 33)

--Effects of harvest i ng or other weed control methods on aquat i c

vegetat i on b i omass (Mi kol 1985 41 Wi l e 1978 57 Cassani and Caton

1985 352 Hughes 1974 378 Sch i l l er 1983 398)

--B i omass measurements rel ati ng seasonal and b i otype vari at i ons i n

Hydr i l l a (Bowes et 11 1979 47 Steward 1987 408)

--Seasonal b i omas s of sel ected spec i es (Bowes et li 1979 47 Dewey et

l 19a1 266)

SUMMARY

Several stud i es use b iomass as a measure of aquat i c pl ant control

and as part of overal l assessments of water qual i ty management Mi ko 1

(1985) uses total pl ant bi omass measurements to asses s the effects of

mechan i cal harvesti ng on aquat i c vegetati on Wi l e (1978) al so presents

bi omass data as part of an assessment of envi ronmental effects of

mechan i cal harvesting Cassine and Caton (1985) asses s the same for

chem i cal and b i ol og i cal weed control Mace i na et li (1984) present a

method for est i mat i ng submersed pl ant bi omass by us i ng a record i ng

fathometer The i r data showed that the tech n i que i s not equal l y rel i abl e

for al l water bod i es However accurate b iomass determi nat i ons cou l d be

obt ai ned i f fathometer traci ngs are cal i brated w i th actual b i omas s data

Add i t i onal b iomass data for aquat i c p l ants are presented by Hughes

2-5

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

( 1974) Sch i l l er ( 1983 ) and Steward ( 1987 ) Bowes n il ( 1979) and

Steward ( 1987 ) present bi omass data for Hydri l l a i n Fl ori da

Canfi e l d et il ( 1985 ) address chl orophyl l - bi omass - nutri ent

rel at i onsh i ps for n atural assembl ages of Fl ori da phytopl ankton Carl son

( 1977 ) presents a troph i c state i ndex for l akes and uses al gal b i omass as

a parameter for the i ndex

2-6

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STU DY

Fact Sheet on D IQUAT

Entr i es i n B i bl i ography 84

Types of stud i es noted

- -Taxi c i ty data ( Mayer and El l ers i eck 1986 270 Berry and Schreck

1976 346 Funderburk and Lawrence 1967 366 Howe and Wri gt 1965

376 Kam W i ng and Furtado 1977 381 Naqui et Ai 1980 390)

- - Effects of d i quat on aquat i c commun i t i es ( H i l t i bran I 1972 105

Berry sl 1964 347 Cas san i and Caton 1985 352 Cal derban k 1972

351 C l ayton 1986 356 Dan i el 1972 358 G i l derhus 1967 368

Haag 1986 370 H i l senhoff 1966 372 Hughes and McCol l 1980 377

Joyce and Thayer 1986 379 Marshal l 1984 386 M i chaud 1979 387)

- -General chem i cal control gu i des and control of spec i fi c aquat i c

pl ants (Abery 1986 339 Barrett 1981 342 Barrett and Murphy 1982

344 Barrett and Logan 1982 345 Chevron Chemi cal Corp 1978 354

Hi l t i bran 1971 373 H i mel n li 1981 375 Ki l l gore 1984 383

Mac kenz i e 1966 385 Mobl ey n il 1971 388)

- -Di quat accumul ati on i n pl ants and sed i ments ( B i rmi ngham and Colman

1983 348 Dav i s and Seaman 1968 359 Frank and Comes 1967 364

Langeland and Warner 1986 384)

- - Experi mental data on herb i c i de treatments (Bri t i sh Col umbi a 1975

350 Clayton and Tanner 1982 355 Dunn et I 1983 362 Hal l er

1982 371 K i l l gore 1981 382 Newroth and L i m 1980 392)

- -Di quat u se wi th other types of control s (Charudattan 1986 353 Frank

AI 1979 365 Ganstad 1986 367 Graham 1976 369 Newroth

1974 391)

SUMMARY

I n add i t i on to the above noted stud i es three l i terature summari es and

rev i ews prov ide good i nformat i on on d i quat stud i es

Joyce and Ramey (1986) prov ide a good annotated rev i ew of 1 i terature

concern i ng research on the fate of aquat i c herb i c i de s i n water w i th

emphas i s on Fl ori d a s freshwater ecosystems Tucker (1980) rev i ews 50

c i tat i ons on d i quat c i tat i ons and prov ides a deta i l ed summary on the

2-7

Produced by Mote Marine Laboratory for South Florida Water Management District

foll ow i ng aspects of d i quat env i ronmental chemi stry adsorpt i on by so il

and cl ay mi neral s aerob i c and anaerob i c soi l stud i es soi l stud i es under

fi el d cond i t i ons aquat i c studi es soi l l eaching stud i es rotat i onal crop

stud i es photochem i cal degradat i on stud i es and mi croorgan i sm stud i es

Langel and and DeMont ( 1986 ) prov i de a thorough rev i ew of the l i terature

on the detect i on tox i c i ty and pers i stence of d i quat endotha1 1 and

f1 uri done They al so present speci fi c data on stud i es of the pers i stence

of d i quat endothal l and f1 uridone i n North Carol i na ponds and water

movement patterns i n Lake Wheel er North Carol i na

2-8

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on EUTROPHICATION

Entr i es i n Bi bl i ography 12

Types of stud i es noted

- -Eval uati ons of nutri ents i n eutroph i c l akes (Canfi el d 1983 5

Schi ndl er 1971 131 Michaud n ll 1979 387 Lee and Jones 1980

175)

- -Aquati c pl ant probl ems i n eutroph i c l akes (Graham 1976 369 Hughes

and McCol l 1980 377)

--Assess i ng eutroph i cati on based on water qual i ty stud i es ( Federi co et

Al 1981 67)

--Troph i c structure assessments and changes i n eutroph i c l akes ( Gayl e

1975 181 US Envi ronmental Protect i on Agency 1975 161)

SUMMARY

A number of stud i es address eutroph i cati on i n Lake Okeechobee

US Env i ronmental Protect i on Agency (1975 161) reports on Lake

Okeechobee as part of the Nat i onal Eutroph i cat i on Survey and a number of

state gency commi ttee stud i es and eng i neeri ng reports provi de anal yses

of Lake Okeechobee eutroph i cati on (MacGl l n AI 1976 174 Bl ack Crow

Ei dsness Inc 1976 185 Lee and Jone s 1980 175)

Us i g seven years of water qual i ty data Federi co et it 1 (1981

67) i dent i fy annual and seasonal l mnet i c water qual i ty trends exami ne

the re l at i o n s hi p to t r i but ary i n fl ow s i d en tify trends and

quali tyd i scharge rel ati onsh i p s cal cul ate annual l ake materi al budgets

for each year and assess the trophi c status of the 1 ake Gayl e (1975

181) presents a systems model for understanding eutrophicat i on i n Lake

Okeechobee

2-9

Produced by Mote Marine Laboratory for South Flori da Water Management District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on HARVESTING

Entr i es i n B i bl i ography 15

Types of stud i es noted

--Effects of harvesti ng aquat i c pl ants on nutr i ent removal ( Bol e and

Al l an 1978 15 Wi l e 1978 57 Neel et AI 1973 114)

--Compari sons of mechan ical and b i ol og i cal harvest i ng wi th herbi c i de

control ( Carpenter and Adams 1978 17 Smal l et AI 1985 130

Sch i l l er 1983 398)

--Di sposal of and uses for harvested hydri l l a ( Bagnal l et AI 1978 18

Sabol 1987 37)

--Harvest i ng effects on aquat i c fl ora and fauna (Mi kol 1985 41 Wi l e

1978 57 N i chol s 1974 115 Wi l e 1975 135 Schramm et AI 1985

212 Lesl i e and Kobyl i nsk i 1985 255)

- - Economi c s of mechani cal harvest i ng (McGhehee 1979 57)

- - Phys i cal propert i es of hydri l l a for harvesti ng ( Bagnal l 1980 59)

SUMMARY

Most of the stud i es address the effects of mechan i cal ly harvest i ng

aquat i c pl ants Bol e and Al l an (1978) report that the harvest i ng of

Hydr i l la vert i c illata woul d result i n the d i rect transfer of onl y a smal l

amount of phosphorus i n the soi l i nto the water and the organ i cal l y-bound

phosphorus removed i n harvested pl ants woul d be deri ved l argely from the

sed i ment and not the water body W i l e (1978) and Neel n AI (1973)

present data and anal yses on l ake nutri ent dynam i cs resul t i ng from

harvest i ng aquat i c pl ants W i l e (1978) al so presents data on al gae

phytopl an kton fi sh and water qual i ty changes

A number of other stud i es address harvest i ng affects on fl ora and

fauna Mi kol (1985) reports that harvest i ng pl ants al so removed from 2-

8 of the total stand i ng crop of juven i l e fi sh Lesl i e and Kobyl i ns ki

(1985) address benth i c macro i nvertebrate response to aquat i c vegetat i on

removal wh il e Sabol (1087) addresses the env i ronmental effects of aquat i c

d i sposal o f chopped hydr i l l a

2-10

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

Compar i sons of mechan i cal harvest i ng and herbi c i des address

phosphorus cycl i ng (Carpenter and Adams 1 978) and Smal l et Jl ( 1 985)

report that herbi c i des reduced aquat i c vegetat i on but d i d not el i mi nate

i t Us i ng grass carp as bi ol og i cal control s el im i nated or red uced the

vegetat i on depend i ng on the stocki ng rat i o ( Smal l et AI 1985 )

2-11

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on Hydrjlla vertic11l ata

Entri es i n B i bl i ography 37

Spec i fi c stud i es on hydri l l a i n Lake Okeechobee i ncl ude a

compari son of dens i ty data for Lake Okeechobee and three other areas of

Fl ori da wi th stud i es spec i fi c to the speci a l i zed reproducti ve structures

of hydri l l a (Sutton and Port i er 1985 53) and an ana lys i s of potass i um

n i trogen and phosphorus content i n hydri 11 a from Lake Okeechobee and

three other areas of Sout h Fl ori da ( Sutton and Porti er 1983 56)

Pl ants from Lake Okeechobee had the h i ghest concentrat i on s of each

Other types of stud i e s on hydri l l anoted

--Phys i cal and mechani cal propert i es of hydri l l a (Bagnal l 1980

59)

--Nutri ent uptake stud i es of hydri l l a (Bol e and Al l an 1978 15)

--Us i ng hydri l l a for s i l age ( Bagnal l et Al 1978 18)

--Methods for determi n i ng or est i mat i ng pl ant biomass (Maceina et

li 1984 33)

--Growth reproduct i on and l i fe hi story of hydril l a ( Langel and and

Sutto 1980 35 Bruner and Batterson 1984 43 Spencer et li 1987

48 Sutton 1982 52)

--Habi tat i mportance and ecol ogy of hydril l a communit i es and

al terations to hydril l a communities (Watkins et li 1983 45middot

Bowes et

li 1979 47 Bl ackburn et li 1968 128 Sutton and Vandiver 1986

139 Can f i el d n Al 1983 265 Mace i na and Sh i reman 1982 281

R i chard i1 Al 1985 396)

--Biol ogical control s of hyd ri l l a (Bal ciunas and Minno 1985 46

Bal ciunas 1985 116 Johnston et li 1983 36 Cas sani and Caton

1985 352)

--Mechanical control s of hydril l a (McGhehee 1979 57)

--Chemical control of hydri l l a (Martin 1983 146 Cassani and

Caton 1985 352 Frank et li 1979 365 Hughes 1974 378 Small et

Al 1985 404 Steward 1972 405 Steward 1982 406 Steward 1976

407 Steward 1987 408 Van 1985 419 Van et Al 1987 420)

2-12

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

SUMMARY

Most of the stud i es deal w ith ways to control Hydr i l l a

verticilJata as a nui sance weed The effects of harvest i ng Hydri l l a i s

frequent l y addressed wi th mi xed resul ts Bol e and Al l an ( 1978) report

that the harvest i ng of Hydri 1 1 a woul d resul t i n the d i rect transfer of

onl y a smal l amount of phosphorus in the so i l i nto the water and the

organ i cal ly-bound phosphorus removed i n the harvested pl ants woul d be

deri ved l argel y from the sed i ment and not the water body

Johnston g1 il ( 1 983 ) report on the recol oni zat i on of a smal l pond

wi th aquat i c vegetat i on where grass carp have been used to control

Hydrill a They demonstrate the feas i b i l i ty o f reduc i ng the compet i t i ve

advantage of Hydri l l a i n order to l l ow other spec i es to become

establ i shed but al so note that care must be exerc i sed i n sel ect i ng

repl acement spec i es Other aquat i c pl ants may grow as prol i fi cal l y as

the Hydri 1 1 a bei ng repl aced

Sabol ( 1 987) and Langel and and Sutton ( 1 980 ) report on the

regrowth of fragmented Hydri l 1 a w i th confl i ct i ng resul t s In f iel d

stud i es Sabol ( 1 987) tested the re -growth potent i al of chopped Hydri 1 1 a

and found that a very smal l port i on of fragments cou1 d produce new

g rowth Conversely Langel and and Sutton ( 1980 ) under control l ed

l aboratory and f i e l d cond i t i ons demonstrated that 40 of the pl ant

fragments wi th one or two nodes were capabl e of vegetat i ve reproduct i o n

Bagnal l 11 il ( 1984 ) eval uated the feas i b i l i ty o f us i ng Hydri l 1 a

for cattl e feed and Macei na 1 il ( 1 984 ) present a method for pred i cti ng

pl ant b i omass us i ng a record i ng fathometer

2-13

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on N ITROGEN

Entri es i n B i bl i ography 27

Types of stud i es noted

- - Land userunoff rel at i onsh i ps w i th nutri ents i ncl ud i ng n i trogen

( Feder i c o 1 977 3 )

- - Nutri ent i n fluences on aquat i c pl ants and phytopl ankton (Canfi el d et

li 1985 4 Can fi el d 1 983 5 Davi s 1980 20 Dav i s 1 982 27

P i eterse 1 984 42 Sutton and Port i er 1 983 56 Bl ac kburn et il

1 968 1 28 Reddy and DeBus k 1 985 13 2 Jones and Federi co 1 984 1 )

- - Water qual i ty stud i es that i ncl ude nitrogen parameters ( Lutz 1 977a

7 Lutz 1 977b 16 M i l ler 1 980 20 Mi l l er et li 1982 26 Dav i s

and Marshal l 1 975 65 Peverl y and Johnson 1 979 394 Jones 1 983

9 )

- - Nutri ent rel at i onsh i ps w i th the troph i c structure of l akes (Henri kson

11 il 1 980 32 Dye 11 il 1975 138)

- - N i trogen and other water qual i ty data for Lake Okeechobee ( Di c kson et

li 1978 66 Davi s and Marshal l 1975 65 Federi co g1 li 1981 67

Fre i betger 1972 69 Mi l l er 1975 70 Jones and Federi co 1984 1

Jones 1 983 9)

- -N i t rogen i nputs and l ake eutroph i cat i on ( Sch i ndl er 197 1 13 1

Feder i co et il 1981 67 Canfi el d 1 983 5 )

- -Den i tri ficat i on i n Lake Okeechobee (Messer et li 1979 1 43 Messer

and Brezon i c 1 984 1 58)

- -Geochemi cal exchanges across the sed i ment -water i nterface ( Burton et

il 1975 1 45 Messer and Brezon i c 1984 158 )

- -Model s pred i ct i ng n i t rogen concentrat i ons (Jones 1983 9 )

SUMMARY

Several stud i es prov i de data on n i trogen for Lake Okeechobee

(M i l l er 1 980 20 Di c kson et li 1978 66 ) Many of these prov ide

n i trogen data as part of l arger studies for i nstance Federi co et li

( 1981 67 ) summari ze seven years of water qual i ty data i n order to

ident i fy annual and seasonal trends cal cu l ate annual budgets and assess

2-14

Produced by Mote Marine Laboratory for South Florida Water Management District

the troph i c state of the l ake Two stud ies ( Fre i berger 1 972 69

Mi l l er 1 97 5 70) i ncl ude lake Okeechobee as part of l arger wet and dry

season nutri ent surveys of South Fl ori d a

Jones ( 1 983 9 ) eval uates the qual i ty o f d i scharges t o Lake

Okeechobee nutr i ent concentrat i ons affects of var i ous changes i n l ake

l evel s and the abi l i ty of var i ous model s to accuratel y pred i ct n i trogen

and phosphorus concentrat i ons Jones and Federi co ( 1984 I) al so apply

nutr i ent model smiddot to Lake Okeechobee Dav i s and Marshal l ( 1 975 65)

present i nformat i on on areal and seasonal vari at i on s of n i trogen l evel s

nutri ent l oad i ngs and budgets for Lake Okeechobee and other chemi stry

d ata

Sutton and Port i er ( 1 983 56) eval uate the potass i um n i trogen

and phosphorus content of Hydri l l a from fi ve l ocat i on s i n South F l ori da

Sampl es were eval uated for wi th i n 1 ocat i on vari abi l i ty and for between

l ocat i on vari abi l i ty and resul ts showed that pl ants from lake Okeechobee

had h i gher concentrat i ons of nutri ents than pl ants from other areas

2-15

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHOSPHORUS

Entr ies i n Bi bl i ography 135

Phosphorus stud i es speci fi c to Lake Okeechobee i ncl ude

- -An anal ys i s o f the effect o f reduced nutri ent l oad i ngs on Lake

Okeechobe chl orophyl l (Jones and Feder i co 1984 )

- -An eval u at i on of the qual i ty of d i scharges to l ake nutri ent

concentrat i on s (Jones 1983 )

- -An analys i s of the abi l i ty of vari ous model s to accurately pred i ct

phosphorus concentrat i on s (Jones 1983 )

- -A comp ari son of phosphorus content i n hydri l l a from Lake Okeechobee and

four other l ocat i ons (Sutton and Porter 1 983 )

- -Aer i a 1 and seasonal vari at i ons of phosphoru s 1 eve 1 s i n Lake Okeechobee

(Davi s and Marshal l 1975 )

-A survey of total ortho p l us aci d - hydrol yzabl e phosphorus ( P- P04)

dur i ng a peri od of h igh water and a peri od of l ow water at 1 1 stat i on s i n

Lake Okeechobee and several stat i ons el sewhere i n South Fl or1 da

(Fre i berger 1972 )

- -An anal ys i s of l i mi t i ng factors based on al gal assays on water sampl es

from 30 s i tes i n the Ki s s i mmee R i ver- Lake Okeechobee Bas i n (Dye tl AI

1 975 )

- - Stud i es on nutri ent exchange across the sed i ment-water i nterface

(Burton et il 1975 )

Add i t i onal l y spec i fi c phosphorus d ata for Lake Okeechobee and i t s

watershed are presented i n a number o f reports (Jones and Feder i co 1984

Jones 1983 Mil l er 1980 Davi s and Marshal l 1975 Fre i berger 1 972

Messer et il 1 979 Dye et il 1975 Burton et Al 1975 Lee and Jones

1975 Lutz 1 977 Mi l l er et il 1982 Di ckson et Al 1978 M i l l er 1975)

Regard i ng management pl an s for phosphorus l evel s t he Lake

Okeechobee Techni cal Commi ttee ( 1 986 ) recommended to reduce phosphorus

l oads by at l east 40 (based on the mod i fi ed Vol l enwe i der nutri ent

l oad i ng model s ) through a program of d i vers i ons and treatment

2-16

Produced by Mote Marine Laboratory for South Florida Water Management District

Stud i es out s i de the lake Okeechobee area wh i ch prov i de i nformat i on

val uabl e to the study of phosphorus i ncl ude

- - Uptake of phosphorus from sed i ment and the water col umn by pl ants ( Bol e

and Al l an 1978 Dav i s 1984 Dav i s 1982 Reddy and DeBus k 1985 Dav i s

and Harri s n d li i1 Al 1974)

- -The i nfl uence of 1 and use patterns and other control s on phosphorus

l evel s ( Federi co 1977 Mi chal ski i1 Al 1975)

- -The correl at ion of nutri ent l evel s w i th chl orophyl l and phytopl ankton

l evel s ( Canfi el d i1 Al 1985 )

- - I ndexi ng and model l i ng techn i ques for l akes us i ng phosphorus and

rel ated data ( Carl son 1977 Canfi el d 1983 Meri cas and Mal one 1984)

- - Data on removal of phosphorus by mechan i ca l l y harvest i ng pl ants

( Carpenter and Adams 1978 Wi l e 1978 )

- -Rel ati on sh i p between nutri ents and b i ol og i cal parameters ( Henri kson g1

Al 1980 Pi eterse 1984 Enn i s 197 5 Re i nertsen 1 986 )

- - Phosphorussed i ment i nteract i ons (Twi nch and Peters 1984 li et li

1 97 1

- -laboratory and other control l ed stud i es on the propert i es of phosphorus

( Shannon and lee 1966 li et li 197 1 )

--Other l i terature stud i es ( Sch i ndl er et Al 197 1 )

2-17

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHYTOPLANKTON

Entr i es i n B i bl i ography 8

Types of stud i es noted

- - Phytopl ankton stud i es for Lake Okeechobee (Marshal l 1977 1 2 Dav i s

and Marshal l 1975 65 Marshal l 1977 424 Jones and Federi co 1 984

1 )

- - Phytopl anktonnutri entl ake eutroph i cat i on rel at i onsh i ps (Canfi el d et

AI 1985 4 Sch i ndl er 1971 13 1 Hughes and McCol l 1 980 377 Jones

and Federi co 1 984 1 )

- - Phytopl ankton pri mary producti on methodol ogy ( Schearer et AI 1985

278)

--Phytopl ankton responses to aquat i c pl ant removal (R i chard et AI 1985

426)

SUMMARY

Dav i s and Marshal l ( 1975 65) present 2 - 12 years of

phytopl an kton dens i ty data for Lake Okeechobee as wel l as i nformat i on on

n i trogn and phosphorus l evel s ( areal and season al vari at i on s ) pri mary

product i v i ty changes in al gal popul at i on s nutr i ent l oad ings and

budgets ra i n fal l chemi stry dat a regress i on anal yses on bi ol og i cal

act i v i ty and chemi cal or phys i cal propert i e s and trophic state

Marshal l s ( 1 977 1 2 ) phytopl ankton dens i ty data for 1974 show peaks i n

May and September i n Lake Okeechobee Marshal l concl udes that Lake

Okeechobee exh i b i t s seasonal patterns and peri od i c i ty typ i cal of

temperate l akes al though the seasonal vari at i on i n den s i t i es i s typi cal

of a trop i cal l ake

Jones and Federi co ( 1984 1 ) present over four years of d ata on

chl orophyl l a pri mary product i v i ty phytopl ankton dens i t i es and domi nant

species They al so an al yze the effect of reduced nutri ent l oad i ng s on

L a ke Okeechobee chl orophyl l and concl ude that chl orophyl l and

product i v i ty l evel s have not changed substanti al l y dur i ng the study

peri od except that peak val ues were h i gher i n 1981

2-18

Produced by Mote Marine Laboratory for South Florida Water Management District

Canfi el d n li ( 1985 4) col l ected data from 165 Fl ori da l akes

and reported a s i gn i fi cant correl at i on between chl orophyl l a

concentrat i ons and phytopl ankton bi omass Mul t i pl e repress i on anal yses

i nd i cated that phytopl ankton bi omass was dependent on both the total

phosphorus and total n i trogen concentrati on Nutri ent-phytopl ankton and

Secch i - phytopl ankton rel ati onsh i ps for the Fl orida l akes had h i gher

coeffi c i ents of determi nat i on i f chl orophyl l a concentrat i ons rather than

bi omass data were used

2-19

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fa ct Sheet on PRIMARY PRODUCTIVITY

Entries in Bibl iography 11

Types of studies noted

- -General ecol ogy studies incl uding primary productivity (Fontaine and

Ewe l 1981 31)

- -Trophic studies of l akes (Henrikson it 11 1980 32)

--Nutrient infl uences on primary productivity (Davis and Harris no date

141)

- -Primary production methodol ogy (Shearer l1 11 1985 278)

--Primary production data in Fl orida (Odum 1974 169 Brezonic et 11

1979 155 Jones and Federico 1984 1 Davis and Marshal 1975 65

Marshal l 1974 424)

- -Seasonal primary productivi ty cycl es (Comita 1985 1195 Marshal l

1974 424)

SUMMARY

Severa 1 stud i es concern primary production in Lake Okeechobee

Brezonjc l1 11 (1979 155) report to the Fl orida Sugar Cane League on

factors affect i ng primary product ion n Lake Okeechobee Jones and

Federico (1984 1) present primary productivity data on Lake Okeechobee

for 1974-76 and 1979-82 as wel l as information on chl orophyl l a

phytop 1 ankton dens i ties and domi nant spec 1 es and an anal ys s of the

effect of reduced nutrient l oadings Their report concl udes that

ch l orophyl l and productivity l evel s have not c hanged substantial l y during

the study period except for peak val ues that were higher in 1981 and

overal l val ues were higher In the Lake s north end Marshal l (1974

424) add resses seasonal changes for primary productivity and

phytopl ankton He concl udes that considering primary productivity and

other factors Lake Okeechobee phytopl ankton dynamics resembl e temperate

l akes Davis and Marshal l (1975 65) present over two years of data on

chemical and biol ogical investigations of Lake Okeechobee incl uding

primary productivity

2-20

Produced by Mote Marine Laboratory for South Florida Water ManaQement District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet o n SED IMENTS

E ntr i es i n B i bl i ography 21

Types of stud i es noted

Most of the stud i es i nvol ve sedi ment nutr i ent ava i l abi l i ty fl uxes

and uptake by pl ants These i ncl ude reports on

-- Laboratory experiments to determi ne phosphorus uptake from the

sed i ments by Myri ophyl l ym and Hydri l l a ( Bol e and Al l an 1978 1 5 )

- - Phosphate exchange i n l ake sed i ments (Twi nch and Peters 1984 295 L i

et l 197 1 1 49 li Al 1973 )

- -Ava i l ab i l i ty of sedi ment phosphorus for macrophytes ( L i et l 1974

108)

- - Phosphorus fl uxes i n south Fl ori da marshes (Dav i s and Harri s no date

143 )

- -The i mportance of den i tr i fi cati on i n lake Okeechobee (Messer et l

1979 1 43 )

- -Geochemi cal exchanges across the sed i ment -water i nterface i n the

Ki s s i mmee Ri ver- Lake Okeechobee watershed ( Burton g1 l 1975 145)

- - lak sed i ment den i tri f i cat ion model s (Messer and Brezon i c 1 984 1 58)

There are al so a number of stud i es concern i ng the rel at i onsh i p of

sedi ment type and other factors to pl ant growth ( Bruner and Batterson

1984 43 Mart i n 1983 146 Barko et il 1983 147 Engel and

N i chol s 1 984 44 Barko and Smart 1986 106) pest i c i de and other

chemi cal res i dues i n sedi ments ( Pfeuffer 1985 298 Hughes and McCol l

1980 377 S i ms i man and Chesters 1976 402 )

SUMMARY

BUrton et l ( l979) documents the rol e of sed i ments i n determi n i ng

water qual i ty i n the Ki s s immee Ri ver-lake Okeechobee watershed wi th an

emphas i s on nutri ent exchange across the sed i ment -water i nterface They

a l so prov ide survey i nformat i on on sediment d i str i but i on and transport

Mes ser et l ( 1979) summari zes the i mportance of den i tr if i cat i on i n lake

Okeechobee i ncl ud i ng a d i scuss i on on the rol e of sedi ments i n the

2-21

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

den i tr i fi cat i on process

eval uat i on o f l ake sed i ment

Lake Okeechobee

Messer and Brezon i c ( 1 984 ) present an

den i tri fi cat i on model s and i ncl ude data from

Dav i s and Harri s ( n d ) provi de est i mates of phosphorus fl uxes

wh i ch d i rectly contri bute to uptake through pl ant growth and to retent i on

through pl ant detri tus sed i mentat i on for the Evergl ades Conservat i on Area

2

2-22

LAKE OKEECHOBEE LITERATURE REVIEW

LIST OF KEY WORDS

ABUNDANCE ( 2 ) ADSORPTION ( 2 ) AGE (1) AGRICULTURE (1) ALGAE (14) ALGAL BIOASSAY (1) ALGICIDES ( 2 ) ALKALI N I TY (1) ALKALOIDS (1) ALTERNANTHERA ( 2 ) ALTERNATHERA (1) AMMONIA (1) AMPH I PODS (1) ANALYSIS OF COVARIANCE (1) ANIMAL BEHAVIOR (1) ANIMALS ( 2 ) AQUATHOL (1) AQUATIC PLANT CHEMISTRY (1) AQUATIC PLANTS (76) AQUATIC ORGANISMS ( 2 ) AQUATIC ( 1 ) AQUIFER ( 2 ) ARGULUS ( 1 ) ARTHROPODS ( 1 ) ATHERINE FISH (1) BACKPUMPING ( 2 ) BACTERIA ( 3 ) BASS (18) BEACH HAB ITATS ( 2 ) BEHAVIOR ( 2 ) BENTHOS (9 ) BEST MANAGEMENT PRACTICES (1) B IOACCUMULATION (1) BIOASSAY (1) BIOLOGICAL CONTROL (8) BIOLOGY ( 6 ) BIOMASS (15) BIOTIC ASSESSMENT (1) BIOTYPES (1) BIRDS ( 2 ) BLACK CRAPPIE (19) BLACK BULLHEADS (1) BLUEGILL ( 1 2 ) BODY FORM ( 2 ) BREEDING (1) BROMAC I L (1) BROOK SILVERSIDE (1) CABOMBA (1)

2-23

CADDISFLIES (1) CADMIUM (1) CALLITRICHE (1) CALOOSAHATCHEE RIVER (5) CANALS ( 2 ) CARBON (1) CARBONATE ROCKS (1) CARBOXYLASE (1) CAREX (1) CATTAI LS (1) CATTLE FEED (1) CENTRARCHIDS (5) CERATOPHYLLUM (5) CHAIN PICKEREL ( 1 ) CHANN ELS ( 1 ) CHAOBORUS (1) CHARA ( 6 ) CHEMICAL CONTROL ( 66 ) CHEMISTRY (10) CHIRONOMID LARVAE (1) CHIRONOMIDS (1) CHLORIDE (4) CHLORINATED HYDROCARBONS (1) CHLOROPHYLL (11) CLADIUM ( 2 ) CLASSIFICATION (1) COEFFICIENT OF DETERMINATION (1) COMMERCIAL FISHERY (2 ) COMMUNI TIES (1) COMMUNITY STRUCTURE ( 7 ) COMPETITION ( 3 ) COMPOST (1) COMPUTER MODELS (1) CONFINING BEDS (1) CONTOUR MAPPING (1) CONTROLLED RELEASE (1) COPEPODS (1) COPPER ( 9 ) COPPER SULFATE (1) CORE SAMPLER (1) COST BENEFIT ANALYSIS (1) CRUSTACEANS ( 2 ) CTENOPHARYNGODON IDE (2 ) CULTURAL CONTROL ( 2 ) CYANATRYN (1) DALAPON (4) DEGRADATION ( 3 ) DEMOGRAPHY (1)

DENITRIFICATION (1) DENSITY (6) DESORPTION (1) DETENTIONRETENTION ( 1 ) DETRITUS (1) DEVELOPMENT (2) DIATOMS (1) DICHLOBENIL (2) DIPOTASSIUM ENDOTHAL ( 1 ) DIQUAT (89) DISCHARGE ( 1 ) DISPERS ION (1) DISSOLVED OXYGEN (14) DISSO LVED SOLIDS (2) DISTRIBUTION (16) DIURNAL (1) DRAINAGE (4) DREDGING (1) DYSTROPHIC (1) EARLY DEVELOPMENT (2) ECOLOGY (15) ECONOMIC ANALYSIS (1) ECONOMICS (1) ECOSYSTEM (1) EFFLUENT REDUCTION (1) EFFLUENT (1) EGERIA (6) EICHHORNIA (13) ELODEA (20) EMBRYO ( 1 ) ENDOTHAL-POTASSIUM ( 1 ) ENDOTHALL (20) ENTRAINMENT (2) EPIPHYTES (1) EUTROPHICATION (12) EVERGLADES ( 9 ) EVERGLADES COUNTY (1) EXOGENOUS FEEDING (2) EXPLORATION (2) FAUNA (2) FEEDING ( 9 ) FEEDING RELATIONSHIPS (2) FENAC (5) FIRST YEAR SURVIVAL ( 1 ) FISH (130) FLOOD CONTROL (1) FLOODING ( 1 ) FLORIDA (31) FLORIDA EVERGLADES (1) FLORIDA LAKES (4) FLORIDA DUCK (1) FLORIDAN AQUIFER (2)

2-24

F LOW RATES (1) F LURIDONE (9) FOOD CHA I NS (1) FOOD HABITS (2) FOOD (6) FORAGE ( 1 ) FORAGING ( 1 ) FREQUENCY ANALYSIS (1) FRESHWATER SPECIES (1) FRESHWATER DISCHARGE ( 1 ) FRESHWATER (27) FRESHWATER MARSH (1) GEOLOGY ( 9 ) GERMINATION (1) GIZZARD F I SH (1) GIZZARD SHAD (2) GLADES COUNTY (9) GLYPHOSATE ( 6 ) GRAPNEL SAMPLER (3) GRASS CARP (8 ) GREAT BRITAIN ( 6 ) GROUNDWATER (5) GROWTH (11) GROWTH INHIBITORS (1) HABITAT (2) HABITAT PARTITION ING (1) HARVESTING (7) HAUL SEINE ( 1 ) HENDRY COUNTY (9) HERBICIDES (47) HEXAZINONE ( 1 ) HIGHlANDS COUNTY (1) HISTORY (3) HOST SPECIFICITY (1) HYDRILLA (42) HYDROCARBONS (1) HYDROCOTYLE (1) HYDROGEOLOGY (2) HYDROLOGY (17) HYDROPERIOD CHANGES (1) HYGROPHILA (1) HYPERmiddotEUTROPHIC (1) ICHTHYOFAUNA (1) ICHTHYOPLANKTON (2) IDENTIFICATION KEY (1) IDENTIFICATION GUIDE (10) IMAZAPYR (1) IMPOUNDMENTS (3) IMPROVING CATCH (1) INDICATOR SPECIES (1) INORGANIC PHOSPHATE (1) INSECT CONTROL (1)

INSECTS (4) INVERTEBRATES (9) IRON (2) IRON CHELATE (1) IRR IGAT ION (2) ISOPODS (1) JASM INE (1) JUNCUS (2) JUVEN ILE F ISH (5) K ISS IMMEE R IVER (11) LABORATORY STUD IES (1) LAGAROS I PHON (3) LAKE LEVELS (2) LAKE WANAKA (1) LAKE CONWAY (1) LAKE OKEECHOBEE (89) LAKE DRAWDOWN (1) LAKES (75) LAND USE (6) LARGEMOUTH BASS (16) LARVAE (1) LARVAL F ISH (25) LEAF PRODUCTION (1) LEMNA (8 ) LEPOMIS (1) L IFE HISTORY ( 9 ) L IGHT INTENSITY (1) L IGHT TRAPS (1) L IMNOLOGY (2) LI MNO PH I LA (1) L ITERATURE SURVEY (5) L ITHOLOG IC ANALYSIS (3) L ITTORAL (12) L ITTORAL ZONE (9) LOTAC (3) MACRO INVERTEBRATES (12) MACROPHYTES (18) MANAGEMENT PLAN (3) MANGANESE (3) MARION COUNTY (3) MARSH PLANTS (3) MARTIN COUNTY (27) MASS BALANCE MODEL (3) MATERIAL BUDGET (3) MATHEMAT ICAL MODELLING (3) MATHEMATICAL MODELS (3) MECHAN ICAL CONTROL (15) MECHANICAL HARVEST ING (24) METHODS ( 9 ) M ICROBES (3) MICROPTERUS (6) MINERAL RETENTION (3)

2-25

MINERAL ADSORPTION (3) M INERAL NUTRITION (3) MINERALIZATION (3) M ISS ISSI PPI S ILVERSIDE (3) MODELING (6) MODELS (12) MOLLUSKS (3) MONITOR ING (15) MORPHOLOGY (3) MORTALITY (12) MOTHS (3) MOWING (3) MYOMERE NUMBERS (3) MYR IOPHYLLUM (84) MYSIDS (3) NAIDIDAE (3) NAJAS (18) NEKTON (3) NEMATODES (3) NEOCHETINA (6) NETS (6) N ICKEL (3) N ITRATES (3) N ITROGEN (81) NORTHERN P IKE (3) NUPHAR ( 9 ) NUTR IENTS (141) OCALA GROUP (3) OKEECHOBEE COUNTY (33) OKLAWAHA R IVER (3) OL IGOCHAETES (3) OLIGOTHROPHIC (6) ORANGE LAKE (3) ORGANIC MATTER (3) OSCEOLA COUNTY (3) OXYGEN (9) PALAEOLIMNOLOGY (3) PALM BEACH COUNTY (30) PAN ICUM (67) PARAQUAT (39) PARTICULATE MATTER (3) PASPALUM (3) PATHOGENS (3) PERI PHYTON (3) PERSISTENCE (9) PESTICIDES (27) PH ( 9 ) PHOSPHATE (15) PHOSPHORUS (135) PHOTOSYNTHES IS (12) PHYS IOLOGY (12) PHYTOPLANKTON (27)

PHYTOTOXICITY (3) PIKE (3) PISCIVOROUS FISH ( 6 ) PISTIA (15) PLANKTON (15) PLANNING (3) PLANT SUCCESSION (9) PLANT HARVESTING (9) PLANT ABUNDANCE ( 6 ) PLANT DENSITY (3) PLANT COMMUNITIES (9) PLANT SURVEY TECHNIQUES (9) PLANT COMPOSITION (9) PLANT NUTRITION (3) PLANT GROWTH ( 6 ) PLANT BIOMASS (3) POLLUTION (3) POLLUTION CONTROL (3) POLYCHAETES (3) POLYMER ( 6 ) POMACEA (3) POHOXIS ( 6 ) PONAR GRAB SAMPLER (9) PONDS ( 6 ) POPULATION DYNAMICS (9) POPULATION (21) POTAMOGETON (57) POTASSIUM (9) PREDATION (3) PREDATOR - PREY (15) PRIMARY PRODUCTION (36 ) PROPAGU1ES (3) PUMP STATIONS (3) PUMPING (3) RADAR (3) RADIOPHOSPHORUS (3) RAINFALL (18) RANUNCULUS ( 6 ) RATS (3) RECLAMATION ( 3 ) RECORDING FATHOMETER (3) RECRUITMENT (3) REDBREAST SUNFISH (3) REDEAR SUNFISH (3) REFERENCES (3) REGRESSION ANALYSIS (15) RELEASE RATES (3) REMOTE SENSING (3) REPRODUCTION (12) RESERVOIRS (51) RESIDUES (27) RESOURCE PARTITIONING (9)

2-26

RESPIRATION (3) REVIEW (3) RIVERS (42) RUNOFF (33) SAGITTARIA (3 ) SALVINIA (18) SAMPLING (15) SAMPLING METHODS ( 6 ) SAMPLING GEAR (3) SCIRPUS (3) SEA LEVEL RISE (3) SEASONAL EFFECTS (12) SEASONAL SUCCESSION (3 ) SEASONAL (9) SECCHI DISK (9) SEDIMENTARY ROCKS (3 ) SEDIMENTS (78) SEEPAGE (12) SEWAGE DISCHARGES (3) SHAD (15) SHINERS (3) SHOREFLIES (3) SHORELINE AREAS (3 ) SILICA (3) SILICON (3) SIZE CLASS ( 6 ) SNAILS (3) SODIUM ALGINATE ( 6 ) SODIUM (3) SOILS (9) SOUTH FLORIDA (24) SPARGANIUM (3 ) SPAWNING (21) SPECIES DIVERSITY (3 ) SPECIES COMPOSITION (3 ) SPECIFIC CONDUCTANCE (15) SPOTTED BASS (3 ) ST LUCIE ESTUARY (3 ) ST JOHNS RIVER (3 ) ST LUCIE COUNTY (3 ) STANDING CROP (15) STOCHASTIC LAKE MODELS (3 ) STORHWATER (3) STRATIGRAPHY ( 6 ) STREAMS (9) SUNFISH (18) SURFACE DISCHARGES (3) SURFACE WATER (21) SURFACTANTS ( 6 ) SURVIVAL ( 3 ) SUSPENDED SOLIDS (3 ) SWIM PROGRAM ( 3)

TAYLOR CREEK (6) TAYLOR CREEK WATERSHED (3) TEMPERATURE (9) TENNESSEE (6) TERRESTRIAL (6) THREADFIN SHAD (15) TILAPIA (3) TOXICITY (36) TRACE METALS (3) TRANSMISSIBILITY (3) TRANSPARENCY (6) TROPHIC STRUCTURE (30) TUBER PRODUCTION (3) TUBER DENSITY (3) TURBIDITY (12) TURION (9) TYPHA (9) UPPER TAYLOR CREEK (3) USGS (3) UTILIZATION (3) UTRICULARIA (3) VALLISNERIA (15) VAUCHERIA (3) VEGETATED HABITATS (3) VEGETATION (15) VEGETATIVE PROPAGULES (3) VEGETATIVE REPRODUCTION (6) VELOCITY (3) VERTEBRATES (3) WASTELOAD ALLOCATION (6) WASTEWATER TREATMENT (6) WASTEWATER (3) WATER SUPPLY (12) WATER RECYCLING (3) WATER LEVELS (6) WATER CONSERVATION AREA 2A (3) WATER CHEMISTRY (21) WATER QUALITY (Ill) WATER MANAGEMENT (6) WATER LEVEL (9) WATER CIRCULATION (3) WATER BUDGET (3) WATERSHED ANALYSIS (3) WEIGHT DISTRIBUTION (3) WEIR BOX (3) WET AND DRY SEASON (9) WETLANDS (9) WHITE CRAPPIE (6) WILDLIFE (3) WITHLACOOCHEE RIVER (6) WOLFFIA (3) XYLENE (6)

2-27

ZINC (3) ZOOLOGY (3) ZOOPLANKTON (21)

I I I BIOMASS - M ID-COURSE SUMMARY

I I I A INTRODUCT ION

The experimental removal of Hydr i l l a vert i c i 1 1 ata R i s bei ng

conducted to prov ide removal of nutr i ents phosphorus i n part icul ar from

Lake Okeechobee as wel l as the anc i l l ary benefi ts of i ncreased fi sh

hab i tat and nav igat i onal acces s To determi ne benefi ts and costs of

removal an i ndependent est i mate of both b i omass and nutri ent content of

vert i ci l l ata has been conducted

The bi omass sampl i ng effort was conducted i n August 1987 and was

compl eted pri or to the actual harvest i ng Stat i ons were concentrated i n

the area of the Hydri l l a mat but some non -Hydr i 1 1 a spec i es were al so

col l ected Sampl i ng l ocat i ons were sel ected on the bas i s of qual i tat i ve

cl ass i ficati ons of Hydri l l a growth character i s t ics

Based on fi e l d reconna i ssance i n Aprll and Ju l y 1987 a

s ubstant i al amount of spati al nonhomogene i ty i n both weed dens i ty and

spec i es compos i t i on was observed throughout the proposed s tudy s i te A

vari ety of env i ronmental factors such as substrate compos i t i on water

qual i ty and to a l es ser degree l i ght penetrat i on and water depth may

have been respons i bl e for these observed d i fferences Any past

appl icat i on and poss i bl e res i dual effects of weed control herb ic i des may

al so be contr i buti ng envi ronmental factors As growth character i st ics

w i th i n th i s area were not un i form i t was assumed un l i ke ly that nutri ent

content was evenly d i stri buted To quanti fy these area -wi de var i ati ons

a s ampl i ng scheme emphas iz i ng the range of Hydril l a growth cond i t i ons was

des i gned

III B MATER IALS AND METHODS

I I I B 1 Sampl e Col l ecti on

Prec i s i on measurement of Hydri l l a bi omass i s h igh l y dependent upon

the representat i veness of the sampl es as wel l as evenness of growth

character i st ics wi thi n the study s i te As di fferences i n dens i ty had

3 - 1

been observed duri ng reconnai ssance surveys fi ve Hydri l l a cond i t i on

factors were establ i shed ( see Tabl e 3 1 ) Stat i ons were apport i oned

among these fi ve categor i es rat i ng sel ected s i tes accord i ng to these

cond i t i on factors to i nsure that comparabl e representat i ve sampl es were

col l ected

As a resul t fi fteen ( 1 5 ) stat i ons were establ i shed wi th i n the

weed harvest i ng area ( Fi gure 3 1 ) Sampl i ng l ocat i ons were fi xed and

recorded i n the fi e l d us i ng Loran C (Apel co model DXL -6000 ) Sampl e

col l ect i on at each stat i on con s i sted of three repl i cated cl i pped - pl ots of

Hydri l l a removed from wi thi n a 202Sm2 sampl i ng dev i ce pl aced on the

substrate The sampl i ng box was constructed of steel pl ate 3 mm th ick

The overal l des i gn was s imi l ar to that descri bed by Mart i n and Sherman

( 1979 ) The top of the box however was covered by a d i amond pattern

screen wi th an attached hook to fac i l i tate l i ft i ng the sampl er wh i ch

contai ned the Hydr i l l a sampl e i nto the boat

The sampl er was l owered to the substrate and the Hydri l l a adjacent

to the edge of the box was cut by the d i ver wi th a kn i fe The bottom

sl i d i ng pl ate was then i nserted to conta i n the Hydri l l a sampl e and the

sampl er was then retri eved to the surface

Onl y the above- substrate port i ons of the pl ant were col l ected

s i nce thi s was cons i dered to be the port i on of the pl ant subject to

removal by the mechan i cal harvester Unconsol i d ated detri tal materi al

and roots were not col l ected Any non -Hydri J 1 a macrophytes col l ected

were separated from the Hydri l l a sampl es and treated as d i screte sampl es

Each l abel l ed repl i cate sampl e was we i ghed separatel y to the nearest gram

to determ i ne fresh wet we i ght s The i nd i v i dual repl i cates were then

i ced and shi pped to the l aboratory for dry we ight and nutr i ent content

analys i s

Add i t i onal fi el d procedures i ncl uded a near-fi el d and obl i que

photograph taken at each bi omass sampl i ng stat i on

3-2

I I I B 2 Anal yt i cal Methods

Percent mo i sture was determi ned on al l sampl es Sampl es were

dri ed at 103 - 1050C and the dri ed materi al was used i n n i trogen

phosphorus and potass i um anal yses A total of 52 sampl es were processed

(45 Hydri l l a and 7 non - Hydrjl l a fract i ons ) by MML Total Kjel dahl

n i t rogen and total phosphorus were analyzed from dri ed ground pl ant

materi al Methods ut i l i zed were from the AOAC Methods of Anal ysi s 13th

Ed i t i on 1980 Kjel dahl d i gesti on i n a bl ock d i gester of l ess than O lg

pl ant materi al was fol l owed by sampl e reconst i tut i on automated d i l ut i on

and col ori metri c determi nati on o f amon i a and phosphate by Techn i con

AutoAnal yzer II The resul tant n i trogen and phosphorus concentrat i ons

were converted to a dry we i ght basi s

Procedures for the potass i um anal ysi s are deri ved from the AOAC

Methods of Ana lys i s 13th Ed i t i on 1980 Less than 0 3g of dri ed ground

p l ant materi al was d i gested wi th n i tr ic and perchl ori c ac i ds d l l utjed

wi th 1+1 hydrochl ori c ac i d and anal yzed by atomi c adsorpt i on

1 1 1 B 3 Dat a Management

B i omass data col l ected duri ng thi s study was used to generate the

fol l ow i ng types of data

o Wet and dry wei ghts of Hydri l l a expressed as gm2

o Nutri ents [n i trogen ( N ) phosphorous ( P) potas s i um (K ) ]

per we i ght of Hydri l l a

I I I C I NTERMIM RESULTS - BIOMASS

I I I C l B IOMASS ANALYSIS

Monocul tures of Hydri l l a were present except at Stat i ons 1 2 5

9 and 13 At these fi ve l ocat i ons i nc i dental col l ect i ons of

Ceratoohyl l um sp were made I n i t i al process i ng of these sampl es

cons i sted of separat i ng Hydril l a and non -Hydri l l a spec i es and anal yzi ng

and eval uati ng each fract i on as a d i screte sampl e Once the eval uati on

3 -3

was compl eted b i omass val ues from both sets of sampl es were combi ned to

represent the overal l b i omass harvested from the study are a

B i omass val ues (dry we ights a l l spec i es combi ned ) ranged from

1 9 33 gm2 ( 02 kgm2 ) to 3 1 7 67 gmm2 (0 32 kgm2 ) (Tabl e 3 2 ) The

l ower b i omass val ues were found at stat i ons 1 and 2 wh i ch were nearshore

stat i ons The h i ghest b i omass general l y occurred at the stati ons l ocated

i n the central port i ons of the Hydri 1 1 a mat The range i n wet and dry

b i omass val ues wi th i n a confi dence i nterval of 1 plusmn standard dev i at i on

( SO ) are graph i cal l y presented i n F i gures 3 2 and 3 3 The cons iderabl e

var i at i on i n b i omass val ues among the stati ons i s rel ated to onshy

shoreoff-s hore d i fferences in stat i on l ocat i on and var i at i on in b i omass

maturi ty wh i ch i s descri bed by the prev i ous ly l i sted cond i t i on factors

rhe Hydri 1 1 a cond i t i on factors have been devel oped to prov ide an

i nd i cat i on of the vari abi l i ty of pl ant maturi ty and were used to prov ide

a prel i mi nary eval uati on of the rel ati onsh i p between pl ant maturi ty and

nutrient content The cond i t i on factors recorded at each stat i on dur i ng

b i omass sampl i ng are summari zed i n Tabl e 3 3

The Hydr i 1 1 a b i omass val ues for each sampl i ng stat i on were grouped

accord i ng to the i r respecti ve cond i t i on factor and pl otted ( F i gure 3 4 )

The resul ts of th i s group i ng dep i cts a cl ear pattern of the d i stri but i on

of b i omass versus p 1 ant maturi ty or cond i t i on factor The new growth

cond i t i ons (1 and 2) had the l owest mean bi omass val ues whi l e cond i t i on

4 (mature cond i t i on ) had the h i ghest val ue and cond i t i on 5 (senescence )

i nd i cated a decl i n i ng b i omass of the Hydri 1 1 a mat at the stati on

l ocat i ons The stat i ons sampl ed and the study area were pr i mari l y

con s idered to be represented by a mature growth cond i t i on duri ng the

August col l ecti on Cond i t i on factors ( pl ant maturi ty) are al so rel ated

to nutri ent content as i s subsequently d i scussed

A gross esti mate of b i omass i n terms of areal extent was projected

us i ng the wei ghtarea rat i o for each stat i on and then averag i ng the

rat i os It shoul d be noted however that stat i on sel ect i on for thi s

task was not random and stat i ons were del i beratel y chosen wh i ch

refl ected a range of growth cond i t i ons By the same l og i c l ocat i ons of

transects to be harvested were not random and were chosen i n an attempt

to sel ect maxi mum dens i t i es of Hydri l l a Wi th these qual i fi ers the

3 -4

average b i omass sampl ed ranged from l ess than 1 to over 14 tons per acre

and averaged 7 tonsacre Esti mates for tons of b i omass i n fres h both

wet and dry cond i ti ons al so appear i n Tabl e 3 2 The wet b i omass val ues

represent we ights of the pl ant materi al after surface water has been

removed from the pl ant by bl ott i ng wi th a dry med i um Because of t h i s

handl i ng procedure a d i rect compari son wi th the harvest contractor s

fi el d est i mates (of merely dra i ned materi al ) are not val i d s i nce the

water associ ated wi th the Hydri l 1 a cou l d add a con s i derabl e but unknown

amount to the esti mated total we ight

B iomass sampl i ng i n the study area has been l i mi ted to a s i ng l e

event and the resul t s of the samp l i ng effort do not refl ect seasonal

vari at i ons However Bowes et al ( 1 979) i nvest i g ated the seasonal

Hydri lJ a b i omass product i on of three Fl ori da l akes Lake Trafford

Orange and Jackson Thei r study i ndi cated that the t i me for seasonal

peaks i n bi omass vari ed wi th the southern most 1 ake Lake Trafford

produc i ng the max i mum Hydri l l a bi omass i n August wh i l e the more northern

l akes Orange and Jackson produced more Hydri l l a b i omass i n Novernber

I 1 I C 2 NUTRI ENT REMOVAL

Phosphorus content of Hydri 1 1 a and the potent i al for removi ng

phosphorus from the l ake system was the pri mary focus of the data

anal ys i s Secondary aspects were quant i fyi ng n i trogen and potass i um as

they rel ate to the overal l nutri ent content of the study area and

prov i d i ng i nformat i on for any poss i bl e uses for the harvested materi a l

Tabl e 3 4 summari zes the analyti cal data for bi omass sampl es

col l ected Hydri l l a and total b i omass are tabul ated separatel y s i nce

Hydri l J a i s the target spec i es of the harvest i ng program and i t compri ses

the majori ty of the pl ant materi al i n the study area Inter-spec i fi c

d i fferences i n pl ant chemi cal compos i t i on are al so reported by Boyd

( 1978) as the greatest source of vari at i on i n characteri zat i on stud i es of

aquat i c macrophytes

3 - 5

I I I C 2 1 Phosphorus

Total phosphorus ranged from 9 1 mgg to 2 68 mgg for al l spec i es

comb i ned and 91 mgg to 2 67 mgg for Hvdrill a only (Tabl e 3 4) The

comb i ned data wi th confidence i nterval s ( 1plusmn SO) are shown i n F i gure 3 5

The somewhat h i gher var i at i on i n phosphorus content at Stat i on s 2 5 9

and 13 i s est imated to occur as a resul t of the presence of non -Hvdri l l a

spec i e s at these l ocat i ons Therefore the presence of other spec i es i n

the sampl es ( i f not separated ) i s ant i c i pated to produce data that have a

greater vari abi l i ty and consequently are not as rel i abl e an est i mate of

nutri ent content as des i red for management dec i s i ons

Coeffi c i ents of var i at i on I n phosphorus content were cal cul ated

and pl otted by stat i on for comb i ned pl ants and for Hydr i l l a on l y ( F i gures

3 6 and 3 7) A compari son o f F i gures 3 6 and 3 7 however i ndi cates

that a rel at i vely smal l amount of the vari at i on observed can be

attri buted to the presence of two spec i es at a s i ngl e stat i on F i gure

3 7 demonstrates an i mportant con s iderat i on for any future sampl i ng and

asses sment effort s Sampl es o f Hydri l l a from the extremes of the

cond i t i on factors i e 1 and 5 produce data that may vary from 20 to

more than 30 i n est i mates of phosphorus content

The comb inat i on of cond i t i on factors and means for phos phorous

content at each stat i on i ndi cate a rel ati onsh i p between cond i t i on i e

re l at i ve maturi ty and phosphorus content ( F i gure 3 8) Stati ons wh i ch

cons i st pr imari ly of new pl ant growth (cond i t i on 1 ) contai n the l east

amount of phosphorus on a mgg (p l ant mater i al ) bas i s wh i l e stati on s

wi th pl ants that are descri bed as bei ng i n cond i t i on 4 (mature) have the

greatest amount of phosphorous A dec 1 i ne in phosphorus content al so

apparently accompan i es pl ant senescence

RegreSS i on anal ys i s was conducted to determ i ne the rel at i onsh i p

between b i omass and phosphorus content Because onl y one i ndependent

vari abl e (b i omas s ) was used i n the regress i on mode i t is necessary to

report only the resul ts of the two-tai l ed test u s i ng Student s t shy

stat i ons The nul l hypothes i s for the two -tai l ed test i s that there i s

no rel at i onsh i p between the dependent vari abl e and a spec i fi c i ndependent

vari abl e namel y bi omas s The t -stati st ic generated by the model

3-6

i nd i cated that b i omass s i gn i fi cantly effects phosphorus content at a 43

confidence l evel That i s there i s a 57 chance of i nd i cat i ng there i s

no rel ati onsh i p between b i omass and phosphorus i f the nul l hypothes i s i s

rejected

Add i t i onal stat i st i cal model i ng and an al ys i s i nd i cated that

b i omass at stati ons categori zed as Cond i t i on 4 were s i gn i fi cant ly rel ated

to phosphorous content at onl y a 75 confi dence l evel or a 25 chance

that a re 1 at i onshi p between b i omass and phosphorous content does not

exi st The h i gher confi dence l evel provi des some support for the use of

Hydrj 1 1 a cond i t i on factors part i cul arl y cond i t i on 4 for est i mat i ng the

nutri ent content of Hydri 1 1 a

To prov i de some prel i mi nary est i mates of potent i al phosphorous

removal rel ated to Hydri 1 1 a matur i ty each sampl i ng stat i on s phosphorous

we i ght to area rat i o was determi ned (Tabl e 3 5 ) These rat ios were then

averaged by cond i t i on factor The resu1 tant overal l phosphorus content

ranged from 16 1 bacre (cond i t i on 1 ) to 3 40 1 bacre (cond i t i on 4) and

dupl i cated the trend observed i n the b i omass data ( F i gure 3 4 )

The range of Hydri 1 1 a cond i t i ons factors and the presence o f other

macrophyte spec i es wi thi n the harvest area i nd i cates that further

defi n i t i on of the nutri ent removal est i mates are requ i red Th i s further

quant i fi cati on can be accompl i shed i n part through the use of aeri al

photographs The i nter im report by 15ampT ( 1 987 ) i nd i cates that sca1 ed

true col or and fa1 se col or i nfrared photographs of the study area have

been rout i ne1 y fl own Cop i es of these photographs and vegetat i on maps

wi 1 1 be requested from 15ampT The vegetati on maps produced from these

photographs by 15ampT wi l l be computer d i g i t i zed and acreage measurements

cal cul ated I t shoul d be noted that remote resource sens i ng techn i ques

part i cul arl y stud i es i nvol v i ng submerged pl ants have l i mi tati ons rel ated

primari l y to water depth and cl ari ty These 1 im i tati ons restri ct the

quant i ficat i on of i mmature Hydri 1 1 a represent i ng cond i t i on factors 1 and

2 because i t i s unl i ke1 y these p1 ants can be detected due to thei r

submerged cond i t i on Hydri ll a exh i bi t i ng cond i t i on factors 3 4 and 5

shoul d be v i s i bl e i n the l ate summer aeri al photographs as emergent mats

The fal se col or i nfrared aeri al photographs wi l l al so be anal yzed to

3 - 7

further separate the area i nto cond i t i on factors (3 4 and 5 ) These

refi ned est imates wi l l be i ncl uded in the fi nal report

An i ntegrated seasonal data base on nutri ent content of Hydri l l a

i n Lake Okeechobee i s l acki ng However recent data ( 1 5ampT 1988 )

i nd i cates there may be a pronounced seasonal d i fference i n t he chemi cal

compos i t i on of Hydrll l a from the l ake Hydri l l a sampl es col l ected by

15ampT duri ng January 1988 had phosphorus and n i trogen val ues that were

two to t hree t i mes h igher than the val ues reported for Aug ust 1987

(Tabl e 3 6 )

Spl i t sampl es anal yzed by the same l aboratory wh i ch prov i ded the

I SampT data provi ded veri fi cati on for the August phosphorus data reported

i n th i s study Therefore i t appears to be reasonabl e to assume that an

i ncrease i n Hydri l l a nutri ent content has occurred between August 1 987

and January 1988 The spec i fi c causes for th i s i ncrease are present ly

unknown but Federi co et al 1981 have suggested a nutri ent i nput

mechan i sm for the l ake based on l ake management W i th the fal lwi nter

i ncrease i n l ake surface area nutri ents conta i ned i n the l i ttoral zone

cou l d be transported l ake-ward by the fl ood i ng of the l i ttoral zone

Water qual i ty data from the present study does i n fact i nd i cate an

i ncrease i n i norgan i c phosphorus (P04- P ) from August 1 987 to January

1988 I t may be specul ated that i ncreased nutri ent avai l ab i l i ty may have

produced t h i s i ncrease i n Hydri l l a nutri ent content I t shoul d al so be

noted however that a seasonal i ncrease i n Hydri l l a phosphorus and

n i trogen content may occur i ndependent of any l ake management reg i me

Th i s seasonal vari at i on i n Hydri l l a nutri ent content has i mportant

rami fi cat i ons for any cont i nued or future harvest i ng programs I t al so

creates some add i t i onal quest i ons For exampl e i s th i s Hydri l l a

nutri ent i ncrease a l akewi de phenomenon or i s i t a near fi el d effect that

might be rel ated to the recent harvest i ng I f th i s i s a l akewide

i ncrease i n nutri ent content does it al so produce a correspond i ng

i ncrease i n bi omass so that phosphorus removal per acre cou l d be

max i mi zed I f th i s were true then the seasonal t i m i ng of any future

harvest i ng efforts need s to be careful l y cons i dered

Converse l y i f the wi nter i ncrease i n phosphorus content i s a near

fi el d effect rel ated to harvest i ng then perhaps harvest i ng des i gn i e

3 - 8

n umber and widths of harvested l anes needs to be re -exami ned and t i mi ng

of the harvest i ng may become l ess i mportant S i nce Hydri l l a i s a

n u i s ance spec i es al l prev i ous harvest i ng strateg i es have been a i med

toward weed el i mi nat i on for n av igat i onal purposes Because of th i s

nu i sance status management strateg i es have not been dev i sed or tested to

ut i l i ze Hydrj l l a as a nutri ent removal middotcrop middot For exampl e a seri es of

narrow but cl osely spaced cuts may be v i ewed as crop th i nn i ng wh i ch may

resul t i n greater nutri ent uptake by the adjacent unthi nned port i on of

the middotcrop middot Th i s act i on cou l d al so be coord i nated wi th n av i gat i onal

concerns and where appropri ate habi tat restorat i on or ma i ntenance

1 1 1 C 2 2 Ni trogen

As previ ous l y noted n i trogen has al so been eval uated as part of

the nutri ent analys i s N i trogen (TKN) ranged from 13 45 mgg to 26 34

mgg for al l spec i es combi ned and 13 45 mgg to 26 1 5 mgg for Hydri l l a

onl y (Tabl e 3 4) I ts d i stri but i on among stat i ons ( F i gure 3 9 ) fol l owed

the pattern prev i ousl y d i scussed for phosphorus Thi s pattern i ncl uded

the h i gh vari at i on attri buted to the presence of other spec i es ( F i gures

3 10 and 3 1 1 ) as wel l as the cond i t i on factornutri ent content

rel ati onsh i p of Hydri l l a ( F i gure 3 1 2 )

1 1 1 C 2 3 Potas s i um

The rema l n l ng nutri ent i ncl uded i n the anal ys i s was potass i um

wh i ch vari ed from 10 20 mgg to 26 28 mgg for al l spec i es combi ned and

10 20 mgg to 26 28 mgg for Hydri 1 1 a (Tabl e 3 4) Wi th several mi nor

except i ons potass i um content was a more vari abl e pl ant nutri ent than

e i ther phosphorus or n i trogen ( Fi gure 3 13 ) Thi s vari abi l i ty i n

potass i um content has al so been prev i ousl y reported by Sutton and Port i er

( 1983 )

A c o n s i d erabl e amou n t of the vari abi l i ty i n potas s i um

concentrat i ons was attri buted to the presence of other spec i es ( F i gures

3 1 4 and 3 1 5 ) but even when monocul tures of Hydri l l a are con s i dered a

h i gh amount of vari abi l i ty st i l l exi sts Kl opatek ( 1978) suggests that

3 - 9

vari at i on i n potass i um l evel s i n aquat i c macrophytes may refl ect h i gh

metabol i c demand duri ng the peri od of rap i d growth and that potass i um i s

not stored by pl ants s i nce th i s nutri ent i s read i l y avai l abl e from most

soi 1 s When grouped by cond i t i on factor the h i ghest potass i IJm contents

occurred i n the new or rapi d ly growi ng pl ants (cond i t i ons 1 2 and 3 )

( F i gure 2 - 1 6 ) Potass i um content decreases i n the l atter growth stages

assoc i ated wi th cond i t i on factors 4 and 5

I I I D CONCLUS IONS

The Hydri l l a b i omassnutri ent data anal yzed to date i nd i cates that

there are several important factors to be cons idered for future or

conti nued Hydri l l a harvest i ng programs

o Recogn i t i on and categori zati on of the rel ati ve maturi ty

state (cond i t i on factor) of the Hydri l l a mat i s i mportant

to sel ect sampl i ng l ocat i ons for nutri ent ana lys i s

o Anal ysi s of the nutri ent content of Hydri l l a i s most

preci se i e l owest sampl e vari at i on when col l ected from

areas of the mature mat The extremes of growth cond i t i on

new growth and senescence produced more vari abl e data

requ i ri ng l arger numbers of sampl es for rel i abl e mean

determi nat i ons

o Further testi ng of season a 1 d i fferences i n Hydri 1 1 a

nutri ent content and coup 1 i ng wi th harvest j ng-management

strateg i es cou l d s ign i ficantl y opt i m i ze the amount of

nutri ents removed through mechan i cal harvest i ng

I I I E RECOMMENDATIONS

Based on the data col l ected and anal yzed to date the fol l owi ng i s

the recommended course of act i on

Add i t i onal quant i tat i ve sampl i ng of Hydri l l a i n Lake Okeechobee i s

recommended Th i s add i t i onal sampl i ng effort shou l d be conducted at

3 - 10

1 ocat i ons both wi th i n the present study area as wel l as some 1 ocat i ons

out s i de of the study area Th i s general i zed pl an wi l l test for near

fi el d effects i e those effects that m ight be rel ated to harvest i ng

vs l akewi de effects Th i s sampl i ng effort shou l d be conducted quarterl y

to i nvest i gate the apparent seasonal changes i n Hydri l l a nutri ent

content Sampl i ng shou l d dupl i cate earl i er efforts and shou l d be

conducted at e i ght l ocat i on s four wi th i n and four outs i de of the present

study area

I I I F QUALITY ASSURANCE RESULTS

Tabl e 3 7 deta i l s the prec i s i on and accuracy of anal yt i cal resul ts

of dr i ed pl ant t i ssue Al l data were generated i n groups wi th

sat i sfactory qual i ty assurance cri teri a

3 - 1 1

LITERATURE CITED

Bowes G A S Hol aday W T Hal l er 1979 Seasonal vari ati on i n the b i omas s tuber dens i ty and photosynthet i c metabol i sm of Hydr i l l a i n three Fl ori d a l akes J Aquat i c Pl ant Mgt 17 61-65

Boyd C E 1978 Chemi cal Compos i t i on of Wetl and Pl ants IN Freshwater Ecol ogical Processes and Management Potenti al eds R E Good D F Wh i gham R L S i mpson C G Jackson J r Academi c Pres s N Y 378p

Freder i co A C K G D i c kson C R Kratzer F E Davi s 1981 Lake Okeechobee Water Qual i ty Stud i es and Eutroph i cat i on Assessment Techn i cal Publ i cati on 181-2 May 1981 Resource Pl ann i ng Department South Fl ori da Water Management D i stri c t West Pal m Beach FL 270pp + App

Kl opatek J M 1978 Nutri ent Dynami cs of Freshwater R i ver i ne Marshes and the Rol e of Emergent Macrophytes IN Freshwater Ecol og i cal Processes and Management Potent i al eds R E Good D F Wh i gham R L S i mpson C G Jackson Jr Academi c Press N Y 378p

ISampT 1987 Letter to Mr Ed Terczak dated Sep t 3 1987 Subj ect Chemi cal Anal yses resul ts of sampl es of Hydri l l a and mi crodeus

ISampT 1988 Letter to Mr Ed Terczak dated Jan 25 1988 Subj ect Compari son of nutri ent content i n Hydri l l a and water hyaci nth sampl es from the Demonstrat i on Project study area

Sutton D L and K H Port i e r 1983 Var i ati on of n i trogen phosphorus and potass i um contents of Hydri 1 l a i n South Fl orida J Aquat i c Pl ant Mgt 2 1 87 -92

3-12

Tabl e 3 1

Cond i t i on 1

Cond i t i on 2

Cond i t i on 3

Cond i t i on 4

Cond i t i on 5

Hvdrll l a Cond i t i on Factors to Descri be Pl ant Maturi ty i n the Lake Okeechobee Study Area

Areas of new pl ant growth rooted pl ants are l ess

than a foot h i g h

Pl ant growt h i s v igorou s but does not extend to the

surface P l ant s extend from 12 to 34 of the water

col umn i n height

Pl ant growth i s v igorous reaches the surface not

matted or at l east not brown and dyi ng on the

surface

Pl ant g rowth i s matted at the surfac e fl oat i ng

pl ants trapped s i gns of earl y decompos i t i on

P l ant mats are senescent and some open water i s

evident under mat

Source DSA Group I nc 1988

T-- 3 BiJS s_ bull aty 6 Sct irg 1tilt in _ Ia1 kee--gtee OJ --l l

my WEI lOOS lOOS

station GM2 so KGM2 so ArnE GM2 so KGM2 so ArnE

1 19 33 17 10 0 02 0 02 0 09 197 00 188 04 0 20 0 19 0 88

2 32 00 12 53 0 03 0 01 0 14 364 67 127 36 0 36 0 13 1 63

3 67 00 18 19 0 07 0 02 0 30 636 00 191 01 0 64 0 19 2 84

4 155 00 72 75 0 16 0 07 0 69 1660 33 733 09 1 66 0 73 7 41

5 195 33 85 82 0 20 0 09 0 86 1757 00 720 00 176 0 72 7 84

6 166 33 37 58 0 17 0 04 0 74 1695 33 335 67 1 70 0 34 7 56

7 263 33 56 70 0 26 0 06 1 18 2158 67 538 68 2 16 0 54 9 63

8 67 33 4067 0 07 0 04 0 30 676 33 302 63 0 68 0 30 3 02

9 184 67 94 85 0 18 0 09 0 77 1765 66 719 58 1 77 0 72 7 88

10 317 67 155 28 0 32 0 16 1 42 3165 33 1379 28 3 17 1 38 14 12

11 205 67 82 37 0 21 0 08 0 92 1716 00 500 11 1 72 0 50 7 66

12 200 67 47 60 0 20 0 05 0 90 2192 00 554 43 2 19 0 55 9 78

13 188 67 49 17 0 19 0 05 0 84 2326 00 492 11 2 33 0 49 10 38

14 116 00 29 82 0 12 0 03 0 52 1228 33 334 60 123 0 33 5 48

15 234 67 66 29 0 23 0 07 1 05 1997 33 527 08 2 00 0 53 8 91

Notes GM2= Grams Per Meter Square

SD= staOOald Deviation 1lGM2= Kilograms Per Meter Square

Dlta Ioolules Nan-Hydrilla Values for lhese stations

SOlllCe DSA Group Inc 1988

Tabl e 3 3

Cond i t i on

1

2

3

4

5

Sununary of Hydr i l l a Cond i t i on Factor by stat i on for the Lake Okeechobee study area August 18- 21 1987

Hydri 1 1 a Stat i ons

lt1 h i gh 1 2

12middot34 water col umn i n hei ght 2

at surface not matted 8 1 4 1 5

matted earl y decompos i t i on 4 6 7 1 0 1 1 1 2 1 3

senescent open water 5 9

Source DSA Group I nc 1987

Table 3 4 SUImlary ot Hyt1rllla Nl11rlent conumt nan Ole JaKe UKeeCnacee -oxty AJea 11

--- --------- - - ----- - -

Hydrilla Total Hydrilla Total Hydrilla Total p P TlltN TlltN K K

station I-CG so I-CG so I-CG so I-CG so I-CG so I-CG so

1 1 20 0 35 1 20 0 35 13 45 4 66 13 45 4 66 20 78 9 78 20 78 9 78

2 1 55 0 53 1 40 0 35 15 02 4 80 16 39 2 83 2156 12 06 16 45 6 23

3 1 43 0 06 1 43 0 06 15 78 1 37 15 78 1 37 19 66 6 19 19 66 6 19

4 2 36 0 27 2 36 0 27 20 67 2 76 20 67 2 76 20 57 4 81 20 57 4 81

5 1 28 0 14 1 47 0 30 16 49 0 88 16 93 1 10 19 09 2 11 18 99 1 98

6 1 60 0 02 1 60 0 02 17 16 028 17 16 0 28 23 56 5 57 23 56 5 57

7 0 91 0 07 0 91 0 07 15 58 0 38 15 58 0 38 10 20 0 53 10 20 0 53

8 1 37 0 15 1 37 0 15 13 60 2 50 13 60 2 50 26 28 8 25 26 28 8 25

9 1 45 0 36 1 48 0 39 17 60 2 38 17 73 2 56 18 34 5 30 18 59 5 35

10 1 96 0 14 1 96 0 14 21 35 1 69 21 35 1 69 18 71 2 73 18 71 2 73

11 1 63 0 13 1 63 0 13 16 71 0 37 16 71 0 37 16 60 5 06 16 60 5 06

12 1 81 0 12 1 81 0 12 21 97 1 04 21 97 1 04 14 43 1 37 14 43 1 37

13 2 67 0 27 2 68 25 26 15 2 29 26 34 1 97 15 89 4 52 15 89 4 52

14 2 14 0 09 2 14 0 09 20 68 1 12 20 68 1 12 23 68 1 72 23 68 1 72

15 1 33 0 11 1 33 0 11 14 01 0 47 14 01 0 47 15 82 1 99 15 82 1 99

Note All Values Expressed as Milligrams Per Gram of Dry Weight

50ur0e DSA Group Inc 1988

Tabl e 3 6

Sampl i ng Peri od Pl ant

August 1987

Tops

Steins

Whol e Pl ants

August 1987

Whol e P l ants

+January 1988

Who l e Pl ants

A Compari son of Hydri l l a Nutri ent Content for Samp l i ng Periods Conducted i n August 1987 and January 1987 i n t he Lake O keechobee Study Area

N i trogen Phosphorous (mgg-dry wei ght) (mgg-dry wei ght)

19 5 3 21

10 4 1 49

16 3 1 53

13 45 - 26 15 91 - 2 67

31 2 - 35 2 6 9 - 9 2

Source IST Augu s t 1987 Source DSA HHL August 1987

+Source IST January 1988

Tabl e 3 7 Bi omass anal ys i s qual i ty assurance resul ts

Prec i s i on Accuracy Parameter ( n X RSO SO) ( n X RSO SO)

Total phosphorus 6 3 8 1 4 4 1 0 1 7 6 5

Tota l Kje l dahl n i trogen 8 3 2 2 2 4 1 06 6 1 1 2

Potas s i um 6 3 1 1 8 5 12 1 2 43 5

zB

Figure middot3- 1 BIOMASS SAMPLING LOCATIONS

_c liOn Aalill LAaoaATOAV bullbull DA OAOb INC 18 bull

EVALUATION OF AQUATIC WEED HARVESTING DEMONSTRATION

IN LAKE OKEECHOBEE

Cl M EANS

B I O MAS S WET WE IG HT GRAS METER SQUARE

5--------------------------------------------------

45

4

3 5

3

25

1 5

1

05

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFIDENCE STATION

o LOWER COIJADENCE

re 3 2

w a 4 J a tJ) lr w-ti

o M EANS

500

450-

40

350

300

2 50

20

1 50

1 00

50

0

1 2 3 4

+ UPPER CONfIDB-JCE

_ GPnl IP INC

81 0M-ASS D RY WEIGHT CRAMS METER SQUARE

-1-5 e 7 8 sa 1 0 1 1 1 2 1 3 1 4 1 5

STAriON o LOWER (ONlDENCE

ure 3 - 3

________________________________________________________ -____ G

c- -0 (I) (I) -laquo l 0 m J 0 I-

TOTAL BI O MASS VS HYDRI LLA C ONDITIO N DRY WEIGHT GlA2

3 00--------------------------------------------

2 80

1 80

1 60

1 40

1 20

1 00

80

6 0

40

20

middot0 1 2 3

CONDITION FACTOR IS I GM2 DRY NEIGHT

4 6

Figure 3-4

J laquo It w -It 0 L-a 0 -CL lt)

o M EAtJS

M I LLI G RAM S O F TOTA L P H O S PH O RUS

3--------------------------------------------

1

1 4

1 2

1

08 -1 2 3 4

+ UPPER CONFID ENCE

5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION gt LOWER CONFlDENCE

Figure 3-

z o tr 4 gt IL o

w o b IL W o o

C O EFFI C I ENT OF VARI ATION

TOTAL PHOSFHORUS 1 00-----------------------------------------------

90

80

70

60

50

40

30

2 0

1 0-

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION

i

z o ti gt b o

w o b h W o o

CO EFFIC I ENT OF VARIATION TOTAL PHOSA-lORUS (HtDRILLA ONLY)

I OO------------------------------------------------

90

80

70

60

50

40

30

20

1 0

1

IS I CONDlllON FACTORS STATION

9 1 0 1 1 1 2 1 3 1 4 1 5

Figure 3 -7

c - t) 2 0 -1 0 I-

TOTAL PH O S PH U RS VS H YDR I LLA C O N DITI ON

3--------------------------------------------

28

2

2

1 8

1 6 1 4

1

1 2 3

CONOrTJOt FACTOR -I I MGG my yenEIGHT

4 5

ure 3-8

J laquo cr

2 2 w l-e )- 20 (( 0 b 1 8 0 (-

z 1 6 t= 1 4

1 2

1 0

8

o M EANS

M ILLIGRAMS O F TOTAL KJELDAHL NITROGEN

1 2 3 4

+ UPPER CONFDE1CE

----r f 5 bull 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION ltgt LOWER COtADENCE

-ltlilirA 3-9

z 0

gt La 0

I-Z w

0 La La w

0 0

CO EFFIC I ENT OF VARI ATION

TOTAL l1ltJtJ

4

30

2

1 0

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

IS I CONDITlON FACTOR kZ 1 CV ()

Figure 3-1 0

z o t( tr laquo gt L o

tshyZ W o L L W o o

middot

CO EFFIC I ENT O F VARIATIO N 1lltN (HfDRlliA ONLY)

1 00-----------------------------------------------

90

80

70

80

50

40-

30

20

1 0

IS I CONDlllON FACTORS STATION WJ CV(7) 3- 1 1

0 -lt- z a

I--1 0 I-

30

28

28

24

22

2

1 8

1 8

1

1

2

0 1

TOTAL TKN VS HYDRI LLA CON DITION

2 3

CONDITION FACTOR r ] GG CRY WEIGHT

3- 1 2

-oJ ( tr W gt-cr n L 0 Cl - Cl E

o M EANS

M I LL IG RA M S O F TOTAL POTASSI U M

38---------------------------------------------

2

1

8--------------------- 1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFDENCE STATION

ltgt LCJWER CONFIDENCE

z o n 4 gt LL o

I-shyZ bJ o LL LL W o o

1 00

90

80

70

80

50

40

30

20

1 0

0 -

CO EFFIC I ENT O F VARIATION POTASSIUU

-- _-_------ ------

1 2 3 4 5 8 7 8 1

IS I CONDITION FACTOR STATION ---

l2 J cv(-)

1 4 1 5

3- 1 4

z 0 t a oC gt Iamp-0

--

It

r z w 0 lamp-Iamp-w 0 0

C O EFFIC I ENT O F VARI ATION

POTASSlUA (HfffiILLA 011 Y) 1 00 - - - - - - -- - ---- - - - -- - -- - - - ---- --- - -- - - - - - - - - - - -- - - - - -

90

80

70

60

50

40

30 -

20

-

1 0

0 - 1 2 3 4

IS I CONDIllON FACTORS

l 7

J

r t

I 10 1 1 1 2 13

STATON LUd CV ( )

3- 1 5

TOTAL P OTASS I U M VS HYD RI L LA CON DITI ON

30------------------------------------------

28

28

1 2 3

CONDfTION FACTOR 1 I GG y WEIGHT

4 5

3- 1 8

IV WATER QUALITY SURVEYS

IV A INTRODUCTION

Concerns for water qual i ty i n Lake Okeechobee are pr i mar i l y

focused on nutri ent storage and cycl i ng between the water col umn

sedi ments and bi omass and the impl i cat i ons of these processes for the

current and future troph i c state of the l ake The harvest i ng

demonstrat i on project undertaken by the South Fl ori da Water Management

Di strict and conducted by I nternat i onal Sci ence and Technol ogy I nc

( ISampT) i s one of the remed i al measures proposed to arrest the apparently

i ncreas i ng troph i c state The harvest i ng and subsequent upl and d i sposal

of Hydrj l l a i s bei ng u sed to effect the removal of total nutri ents

( phos phorus in part i cul ar) from the aquat i c system The Di str i ct s

eval u at i on and research project ( EampR) conducted by Mote Mari ne Laboratory

(MML) was des i gned to del i neate other env i ronmental i mpacts and cost

benefi ts associ ated wi th mechan i cal weed removal

The goal of the water qual i ty task of the EampR s tudy was to

del i neate changes that cou l d be attri buted to the removal of dense stands

of Hydri l l a vert i c i l l ata ( Fi gure 4 1 ) Al though the i mmed i ate i mpacts of

weed harvest i ng on water qual i ty may be substant i al those wh i ch

perS i sted over a peri od of t i me were expected to be fai rl y smal l and

l ocal i zed due to the advect i ve barri er of the Hydri l l a mat Accord i ngl y

i n order t o resol ve these changes from background vari abi l i ty grad i ents

of water qual i ty were assumed to exi st across the s i te al though they may

be wea k

The sampl i ng program was desi gned t o al l ow the stat i st i c al

eval uat i on of water qual i ty d i fferences between stat i ons at any one poi nt

i n t i me prov id i ng enough anal yt i cal data to produce mean i ngful

compari sons As a resu l t a mi n i mum of tri pl i cate col l ect i on s per

stat i on were necessary Th i s approach was preferabl e to more frequent

sampl i ngs because i t centered on quant i fy i ng i mpacts at part i cul ar

i nstances rather than on a conti nu i ng bas i s when seasonal processes i n

the study area woul d compl i cate anal yses of data

4 - 1

Water qual i ty i nformati on i s al so necessary for the i nterpretat i on

and anal ys i s of many of the other tasks Phytopl ankton and pri mary

product i v i ty stud i es i n part i cul ar are heavi l y dependent on t h i s task and

wi l l exami ne ava i l abl e nutri ents tox i c compounds ( copper) as wel l as

phys i cal data produced by thi s tas k Accord i ng l y sampl i ngs for water

qual i ty were conducted on each of the days that Envi ronmenta 1 Qual i ty

Laboratory ( EQL) depl oyed primary producti v i ty equ i pment In add i t i on

certa i n parameters (d i ssol ved s i l i cates col or and i norgan i c carbon )

were added to the analyti c al su i te at stat i ons where product i v i ty was

be i ng determi ned Water qual i ty sampl i ngs were al so conducted wi th i n 24

hours of the communi ty metabol i sm task fi el d efforts and wi th i n two weeks

of l arval and juven i l e fi sh sampl i ngs

IV B METHODS

IV B l Water Qual i tv Stat i on locat i ons

The northern 1 200-m (4000 ft ) of Transect 3 was des i gnated as the

experimental transect where a majori ty of the tasks focused the i r

efforts Th i s harvested area was sel ected based upon central 1 ocat i on

wi th i n the study s i te representati veness of the study s i te as a whol e

wi th respect to depth fetch shore proxi mi ty and speci es compos i t i on

and the dens i ty of the Hydri l l a mat of the area

Stat i on l ocat i ons for most sampl i ng s of the water qual i ty task

were i l l ustrated i n F igure 4 2 a superi mposed on the Loran C l i nes mapped

for the study s i te dur i ng the August 1 987 reconnai ssance A tabul at i on

of Loran coordi nates of these stat i ons appears i n Tabl e 4 1 Stat i ons

were establ i shed to defi ne any ex i st i ng water qual i ty grad i ents across

the s i te as wel l as i mpacts due to harvest i ng and so extend beyond the

boundari es of the area schedul ed for harvest Stat i ons 1 2 3 13 1 5

and 1 6 represented the perimeter o f the study s i te Stat i ons 7 - 9 were

l ocated on the northern hal f of Transect 3 the experi mental transect

and represented the treatment stat i ons the treatment be i ng harvest i ng

Control ( unharvested ) stat i on 10- 1 2 were adj acent to the

experi mental transect i n the unharvested l ane between Transects 3 and 4

4 -2

( Stat i ons 4 -6 were al ternate control stati ons to be used onl y i f unusual

cond i t i ons at Stat i ons 10- 1 2 i nd i cated that they woul d not represent

und i sturbed cond i t i ons These stat ions have not been occup i ed to date )

Stat i ons 7 - 1 2 were al so the same areas sampl ed for phytopl ankto n benth i c

i nfauna and sed i ment chemi stry Stat i on 1 5 was or i g i nal l y establ i s hed

beyond the southern end of Transects 6 and 7 However dense growths of

Amer i can Lotus i n the area made i t l i kel y that water exchange was

mi n i mi zed wi th the rest of the study area Th i s stat i on was accord i ng l y

moved t o the north but kept between transects s o that i t represented

unharvested cond i t i ons

I V B 2 Parameters

In liY i nstrumentat i on (Hartek Hark V I I ) was used to determi ne

depth profi l es (at 0 2 and 0 5 meter i ncrements from the surface and at

bottom) of temperature conduct i v i ty pH and ox idat i on-reduct i on

potent i a l (ORP) bull Di ssol ved oxygen ( DO) meters ( YS I 57 pol arographi c

el ectrodes equ i pped wi th st i rrers ) were used to measure DO at the same

depths Heters ( and i nstruments ava i l abl e as backup equ i pment ) had been

bench cal i brated aga i nst known standards or phys i ca l constants pri or to

each sampl i ng Cal i brat i ons of the meters empl oyed were repeated

fol l owi ng each sampl i ng L i -Cor i ntegrat i ng photometers were ut i l i zed to

quant i fy i nc i dent and penetrant l i ght Care was taken i n performi ng

these measurements to mi n i mi ze weed d i sturbance i n l oweri ng the

i nstruments and ext i nct i on coeffic i ents were cal cul ated from both the

upper ( 0 5 m) and l ower ( bottom) read i ngs to provi de est i mates of both

weed mass and water col umn l i ght attenuati on Water sampl es were

col l ected for l aboratory analys i s outs ide of the i nfl uence of any meter

d i sturbances

Sampl es were secured us i ng a non -metal l i c i mpel l er-type pump wi th

a weed excl ud i ng cage mesh s i ze of 1 mm ( F i gure 9 3 ) The cage was

l owered wi th a mi n i mum of d i sturbance to the weed mat to prevent

resuspens i on and entrai nment of l oose ly attached al ga l materi al or other

pl ant debri s Th i s col l ecti on techn i que was empl oyed for al l sampl i ngs

Chemi cal parameters i ncl uded al l standard n i trogen and phosphorus

4-3

spec i es Inorgan i c forms - -orthophosphorus ammon i a- n i trate- and

n i tri te -n i trogen - - were determi ned on fi l tered sampl es ( 0 45 micon

effect i ve pore s i ze ) to ascerta i n the ava i l abl e amounts most mean i ngfu l

for b i ol og i cal assessments Potass i um and sodi um were quant i f i ed on a

fi l tered sampl e Trace metal concentrat i ons copper ( Cu ) and i ron ( Fe )

al so were determi ned o n fi l tered sampl es due t o the affi n i ty of these

e l ements for suspended part i cul ates

Total organ i c carbon total Kjel dahl n i trogen total phosphorus

and al kal i n i t i es were determi ned on unfi l tered s ampl es as was

bi ochem ica l oxygen demand Turb i d i ty and suspended l oads were quant i fi ed

and total col i form was analyzed by the membrane fi l ter techni que The

analys i s of sampl es for sod i um chl ori de and fl uori de concentrat i ons was

performed to permi t water mass cal cul at i ons and determi nat i on of water

qual i ty grad i ents across the s i te Anal yses necessary for the pri mary

product i v i ty task were col or d i ssol ved s i l i ca and i norgan i c carbon

Water qual i ty anal yt i ca 1 methods used were those approved by the

Envi ronmental Protect ion Agency ( EPA ) and the Fl orida Department of

Envi ronmental Regul ati on ( FDER) Method references anal yt i cal hol d i ng

t i mes and preservati ves are detai l ed i n Tabl e 4 2

Lake l evel s for spec i fi c dates were obtai ned from the Di stri ct and

represent 1 ake wide averages of stage recorders operated by both the

Di stri ct and the u s Army Corps of Eng i neers

IV B 3 Sampl i ng

There were four types of water qual i ty sampl i ngs each vary i ng i n

the numbers of stat i ons sampl ed t imi ng of col l ecti ons or parameters

anal yzed The s ampl i ngs were enti tl ed basel i ne short - term impacts

quarterl y and fi el d demonstrati on Col l ect i ons were focused around the

experimental transect Analyti cal sui tes i nc l uded both phys i cal and

chemi cal parameters Sampl i ngs performed to date appear i n Tabl e 4 3

4 -4

Basel i ne Sampl i ng

Basel i ne sampl i ng was conducted on August 18 1 987 pri or to any

harves t i ng act i v i ty wi t h i n the s i te The day was cl ear hot and cal m

Average l ake l evel for the day was 4 22 m ( 13 85 ft ) A total of n i ne

( 9 ) l ocati ons ( Figure 4 2 ) was sampl ed to establ i sh a grid of control

stat i ons ( Stat i ons sampl ed were 1 2 3 10 1 1 12 13 1 5 and 16 )

These stat i ons were al l i n areas where no harvest i ng act i v i t i es were

schedul ed Stat i ons 10 1 1 and 1 2 were l ocated i n a heavi l y weeded

area whi l e the rema i n i ng control stat i ons were outs i de the area to be

harvested and were i n comparati vely open water At each stati on a total

of three separate sampl es was col l ected from a depth of 0 2 m for

l aboratory analys i s

At Stati ons 1 3 13 and 16 sampl es were al so sec ured from 0 8

of the overal l depth Water depth ranged from 0 9 to 2 0 meters at al l

stat i on s These corners of the study si te represented the spat 1 a1

extremes and water qual i ty data from surface and at depth were used as

i nd i cat i ons of verti cal gradi ents over the s i te

One add i t i onal stat i on at the mouth of the K i s s i mmee R i ver

( Stati on 20) was sampl ed at the surface (0 2m ) The effect of thi s

tri butary on l ake nutri ent l oad i ng and resul tant spat i al grad i ents may

thus be cons i dered Th i s s i ng l e sampl e however was not i ncl uded i n

stat i st i cal anal yses

A total of fourteen ( 14) stati on-depths resul ted from thi s

sampl i ng for a total of forty ( 40 ) sampl es for anal ys i s In ll1Y and

l aboratory analyses i ncl uded al l wi th the except i on of col or s i l i cates

and org an i c carbon as no phytopl ankton sampl i ng was conducted duri ng

th i s epi sod e Sampl es for total col i form were col l ected from Stat i ons

10 1 1 and 1 2 onl y ( n i ne sampl es)

Short Term Impacts Sampl i ng

Two short term impacts water qual i ty sampl i ngs were conducted

i mmed i atel y after and approx i matel y one week fol l owi ng the compl et i on

of harvest on the exper imental transect These sampl i ngs were i n

4 - 5

conjunct i on wi th and on the same day as phytopl ankton and pr i mary

product i v i ty sampl i ngs Sampl es were col l ected from Stati ons 10 1 1 and

1 2 the control stat i ons and from Stat i ons 7 8 and 9 the experi mental

stat i ons ( F1 gure 4 5 ) Experimental stat i ons were l ocated approxi mately

150m 600m 1070m ( 500 ft 2000 ft and 3500 ft ) from the northern end of

the transect and were approximate ly 75 m ( 250 ft ) from e i ther edge of the

harvested area Contro 1 stat i ons were pa i red wi th each experi mental

stat i on and were adj acent approx1mate1y mi dway between Transect 3 and 4

1 n the center o f the unharvested are a Sampl es were col l ected from 0 2m

depth onl y

Aquat i c weed harvest1 ng on the experi mental transect began

September 3 1987 and the northern 1 220 m was compl eted on September 1 7

Dur1 ng th i s and the succeed 1 ng dayt 1 me sampl i ng events the ongo i ng

harvest of weeds cont i nued nearby An MHl fi el d crew conducted sampl i ng

on September 1 7 a hot cal m and cl ear day when l ake l evel s averaged 4 13

m ( 13 56 ft ) Th 1ck Hvdri 1 1 a growth was v 1 s i b1 e at depth w1 th i n the

tran sect Another sampl i ng occurred on September 22 1987 ( l ake l evel

4 1 2 m ( 1 3 51 ft raquo under s imi l ar cond i t i ons Regrowth of Hydri 1 1 a i n the

experiment al transect was extens ive by th i s date Sampl es were col l ected

near the mouth of the Ki s s immee Ri ver on both occas i ons Seven ( 7 )

stat i on depths resul ted 1 n the col l ect1 0n o f n i neteen ( 1 9 ) sampl es on

eah date Al l in si tu parameters and l aboratory anal yses were i nc l uded

Quarterl y Sampl i ng

As wi th the i mmed i ate i mpacts sampl i ng s quarterl y sampl i ngs were

conducted i n conjunct i on wi th phytopl ankton work Stat i ons sampl ed

i nc l uded 1 2 3 7 8 9 10 1 1 1 2 13 1 5 and 16 at 0 2m depth

( F i gure 4 2 ) and Stat i ons 1 3 1 3 and 16 at 0 8m overal l dept h

S i xteen ( 16 ) stat i on depth s pl us one ri ver sampl e resul ted i n at l east

49 sampl es duri ng each of the four efforts In s i tu and 1 aboratory

parameters i ncl uded al l those l i sted wi th the except i on that total

col i form d i s sol ved s i l i cates col or and i norgan i c carbon were anal yzed

on l y on sampl es from Stat i ons 7 8 9 1 0 1 1 and 12 onl y ( the

exper i mental stat i ons and the i r control pa i rs )

4 -6

Quarterly sampl i ngs took pl ace on September 30 1 987 and January

1 3 1 988 wi th the rema i n i ng sampl i ngs schedul ed for Apr i l and June 1988

Lake l evel s were 4 1 4 and 4 90m ( 1 3 60 and 16 07 ft ) i n September and

January respect i vel y The September event was conducted o n a bl ustery

day (wi nds from the west at 5- 10 kts ) wh i ch l ater produced a dr i v i ng

rai nstorm Vi s i b i l i ty both in and above the l ake was obscured currents

were al so noted Li ght and vari abl e w i nds from the NE to W were noted

duri ng the January sampl i ng Hydrilla had regrown to t he surface i n some

cases by th i s date but otherwi se was not often vi s I b1 e due to i ncreased

l ake l evel s

The northern 180m of the experi mental transect was reharvested

duri ng December 1987 Stati ons 7 and 10 were sampl ed i n January and thus

represented a t h i rd treatment ( 1 e harvested twi ce ) In order to

ma i nta i n a bal anced des i gn for stat i st i cal anal yses however two ( 2 )

stati ons were added t o the sampl i ng schedul e The pos i t i on of Stat i on

7 5 was just south of the mowed sect i on and another control ( 10 5 ) was

added i n a comparabl e l ocat i on south of Stat i on 1 0 Stat i ons 7 5 8 and

9 then became the experimental group to be consi dered i n data analyses

F i el d Demonstrat i on Sampl i ng

Water qua 1 i ty impacts duri ng the actual harvest i ng process were

expected to be pri mari l y a product of turbul ence generated by harvest i ng

These effects were al so expected to be fa i rl y l ocal i zed due to the

dens i ty of the weed mat Any temporary resuspen s i on of organ i c detr i tus

or el evat i on of sol i ds or nutri ent concentrati ons wou l d be establ i shed by

an i ntens i ve t i me seri es wh i ch woul d exami ne the degree and durat i on of

any d i sturbance

The fi el d demonstrat i on water qual i ty samp l l ng was conducted on

October 28-29 1 987 when l ake l evel s were at 14 26 ft Three pai rs of

stat i ons approxi matel y 100 ft apart were establ i shed at the northern edge

of the wi nd fence or harvested area l ocated between Tran sects 2 and 3

( Fi gure 4 6 ) Subsequent to preharvest sampl i ng a harvester made two

passe s each approx i mately 100m l ong A smal l barri er of Hydri l l a ( ca

3m w ide ) was l eft i ntact between the harvested area of Transect 2 and the

4 - 7

RharvestedR area for th i s study Stat i ons were i dent i fi ed as Rcut R (Cl

C2 C3 ) or R uncut R (UCl UC2 UC3 ) duri ng th i s effort

Fol l owi ng the two passes of the harvester over the experi mental

swath no more harvest i ng occurred in that area for at l east 24 hours A

t i me seri es of sampl es were col l ected from -each of the s i x ( 6 ) stat i ons

Data were to be compared from each of the two stat i on types for

quant i fyi ng i mpacts and traci ng the i r durat i o n

Sampl es were col l ected a t 0 2m and 0 8m o f the overal l depth us i ng

the pump and the weed excl ud i ng cage to el imi nate the l argest Hydri l l a

fragments from the sampl e Col l ect i ons took pl ace i mmedi atel y pri or to

the passage of the harvester immedi atel y subsequent to the harvest of

the experimental stat i ons (wi th i n approxi matel y 0 5 hr) and then aga i n

at roughl y 2 5 10 and 24 h r i nterval s after the harvest Sampl es were

not col l ected i n tri pl i cate i nstead the three stat i ons i n each

treatment type formed the basi s for stati sti cal compari son A total of

twel ve ( 1 2 ) stat i on depths and s i x (6) col l ect i ons resul ted i n seventyshy

two sampl es for ana lys i s The s i x col l ect i ons were i dent i fi ed as rounds

1 -6 i n data pri ntouts In 11Y parameters to be determi ned i ncl uded al l

l i sted with the except i on of l i ght penetrat i on and secchi depth

measurements Total col i form was not anal yzed due to the extremel y short

hol d i ng t i me of that parameter nor were repet i ti ve l i ght measurements

wh i ch have a h i gh potenti al for d i sturbance of the water mass due to the

actual sampl i ng process Suspended l oad and turbi d i ty anal yses were

ut i l i zed for est imates of l i ght attenuat i on S i l i cates col or and

i norgan i c carbon were not anal yzed as no phytopl ankton work was

conducted at th i s t i me

IV C INTER IM RESULTS

Al l water qual i ty data col l ected through the m idpo i nt of thi s

project appear i n Append i x 4 A and i ncl ude in s i tu and chemi cal anal yses

from the sampl i ngs performed on August 18 September 1 7 September 22

September 30 and October 28-29 1 987 and January 13 1 988 Means of

al l parameters measured i n the study s i te are presented i n Tabl es 4 4

and 4 5 by date but wi thout regard to treatment stat i on or depth

4 -8

The most notabl e of the in ll1Y parameters i s di ssol ved oxygen

More than 32 of al l observat i ons made were i n v i ol ati on of t he 5 0 mg1

i nstantaneous d i s so 1 ved oxygen cri teri on for C1 ass I waters and 20 of

a l l observat i ons were bel ow 4 0 mg1 (Tabl e 3 4 ) Samp1 i ng t i mes were

skewed toward the morn i ng hours and were thus abl e to record the effects

of pre-dawn resp i rati on of aquat i c vegetat i on at the s i t e

Surface sampl es were al so col l ected i n the Ki s s i mmee Ri ver

approximatel y midway between the S R 78 bri dge and Lake Okeechobee i n

add i t i on t o those sampl es spec i fi ed by the scope of work (Tabl e 4 6 )

Ion content ( sod i um potass i um chl ori de al kal i n i ty s i l i cates )

typi cal l y was l ower i n the ri ver than the s i te waters and i ncreased

sod i um and chl oride concentrat i ons were observed i n the southern port i on

of the study area The ri ver was general l y l ess turbi d ( turbid i ty total

suspended sol ids ) hi gher in col or and apparent ly represented a source

of d i ssol ved i ron to the area

Both throughout the s i te and i n the Ki ss immee Ri ver d i ssol ved

copper l evel s i f detected were only sl i ghtl y above the l i m its of

detect i on The same was true of n i trite-ni trogen wi th the excepti on of

the January sampl i ng On th i s date concentrati ons at the Ki ss inunee

stat i on were h i gher (0 027 mg1 ) than the rema i nder of the stat i on s and

concentrat i on grad i ents were apparent across the study s i te Data on

col or si l i cates and i norgan i c carbon al though presented i n the

append i x wi l l not be extens i vel y analyzed i n thi s sect i on as such data

were pri mari l y col l ected for use i n i nterpretat i on of phytopl ankton

anal yses

IV D DATA REDUCTIONS

Stati sti cal anal yses of i n s i ty and chemi cal data empl oyed one and

two-way analyses of vari ance where treatment effects ( harvested non shy

harvested stat i ons depths ) were consi dered as fi xed (Model I ANOVA)

Two-way anal yses were conducted empl oyi ng the same assumpt i ons when the

rel at i ve magni tude of effects was of i nterest S ign i fi cance l evel s were

set at 0 05 ( P 95) Except where noted anal yses ut i l i zed the

untransformed val ues of the vari ous parameters Log ( base e) data

4-9

trans format i ons were usual ly used to approxi mate normal d i stri but i ons

Parameters trans formed for analys i s i ncl uded orthophosphate ammoni a

n i trate -n i tri te-n i trogen potass i um i ron BOD turbi d i ty TSS and

sod i um

When vari ances among groups were s i gni fi cant i nd i v i dual means

were contrasted us i ng e i ther Student t-tests or Tukey s Student i zed Range

Test wh i ch computes the smal l est HSD ( honestly s ig n i fi cant d i fference )

for determi n i ng d i fferences Both were ap pl i ed at the P - 95 l evel

IV E DISCUSSION

IYr E I In 1i1Y Parameters

D i ssol ved oxygen l evel s and percent s aturat i on of d i ssol ved oxygen

were expected to show the most change from harvest i ng act i v i ti es W ide

d i urna 1 swi ngs shoul d be damped by the removal of 1 arge amounts of

Hydril l a D i urnal pH cycl es and to a l esser extent ORP woul d be

expected to fol l ow thi s pattern as l ess vegetat i on woul d be present to

con sume carbon d i ox ide Seasonal cycl es were expected i n temperature

data however d i urnal cycl es and verti cal thermal grad i ents were l ess

l i kely 1 n areas where dense stands of fl oat i ng Hydri l l a had been removed

For al l parameters wi nd generated m ix i ng i n harvested areas shou ld

1 es sen the degree of al l surface-to-bottom grad i ents Any changes i n

conduct i v i ty at a part i cul ar l ocat i on as a resul t of harvesti ng woul d be

i nd i rect and woul d l i kel y refl ect al terat i ons i n current structure by

removal of the Hvdri l1a mat and the i ncreased fl ush i ng i n harvested

areas

Due to the obv ious d i fferences between sampl i ngs anal yses of i n

tliY data empl oyed two -way ANOVAs usi ng date and treatment ( harvested

Stat i ons 7 8 and 9 and non-harvested Stati ons 10 1 1 and 1 2 ) as

factors Further as vert i cal grad i ents for some parameters appeared

substant i al data sets were al so subd i v i ded i nto surface and bottom

readi ngs and exami ned separately Data were anal yzed from the sampl i ngs

of September 1 7 22 and 30 and January 13 As ant ic i pated sampl i ng

date was a h i ghl y s i gn i fi cant factor for al l i n s i tu parameters

4 - 10

conduct i v i ty ORP pH temperature DO and percent saturat i on Those

parameters exh i bi t i ng d i fferences attri butabl e to harvest i ng impact were

DO and percent saturat i on at both surface and bottom and pH at bottom

No i nteract i ve terms were s i gn i fi cant i nd icat i ng a consi stent and

pred i ctabl e pattern of d i fferences

Di ssol ved oxygen l evel s averaged between 0 5 and 3 6 mgl h i g her

i n the experi mental ( harvested ) transect than i n the adj acent control

stat i ons Th i s pattern was general ly most ev i dent from read i ngs at the

bottom of the water col umn Overal l i ncreases i n percent saturat i on were

approxi mately 20

It shoul d be noted that the majori ty of these data were col l ected

before 1000 ( EST ) and that th i s t i mi ng affected both the magni tude and

the d i rect i on of d i fferences i n DO l evel s Had sampl i ng been conducted

predomi nantly dur i ng mid- to l ate afternoon i t i s most probabl e that the

unharvested and heav i l y weeded areas would have had s i gn i fi cant ly h i gher

DO val ues than the adj acent harvested areas The observed pattern i s

cons i stent wi th an enhanced pre-dawn DO middot sag middot i n areas wi th h i gher

dens i t i es of aquati c vegetat i on (control s ) To ensure that no bi as was

i ntroduced by sequence of sampl i ng on each date stat i ons were ranked by

t i me of sampl i ng the ranks summed by treatment and compared Duri ng that

sampl i ng with the most d i screpancy between treatment rank sums September

30 DO l evel s i ndi cated that thi s was not a seri ous factor

The overal l s i gni fi cance of date i n the previ ous anal yses was due

predomi nantl y to the i ncl us i on of the January data set as can be deduced

from the means presented i n Tabl e 4 4 W i th removal of th i s data set and

reanal ys i s of the three September sampl i ngs the onl y parameters where

date was a s i g n i fi cant factor were pH and ORP I n attempt i ng to quant i fy

the i mmed i ate i mpacts of harvest i ng the removal of the January data set

can be j ust i fi ed on the bas i s that the regrowth of Hydri l l a was

essent i al l y compl ete by th i s sampl i ng and that there were no obv i ous

d i fferences between experi mental and control stat i ons The s i gn i fi cant

d i fferences between experimental and control s for DO percent saturat i on

and bottom pH however were essent i al l y the same i n th i s reanal ysi s

i mpl y i ng that the i mpacts were most marked e i ther wi th i n the th i rty days

of harves t or duri ng that part i cul ar port i on of the growi ng season

4- 1 1

The i ntens i ve fi e l d demonstrat i on sampl i ng carr i ed out on October

28 and 29 1 987 to del 1 neate the invned i ate impacts of harvest i ng was

pr i mari ly desi gned to measure turbid i ty associ ated parameters or

nutri ents rel eased from the sed iments as a resul t of the passage of the

harvester The in 1iY data co 1 1 ected however were subjected to an

ana l ys i s s i mi l ar to the above (Tabl e 4 7 ) D i fferences between harvested

and unharve sted areas were s i gn i fi cant here for a l l parameters but

pri mar i l y for the val ues at depth D i ssol ved oxygen duri ng - th i s

samp 1 1 ng however was l ower overa 1 1 i n the harvested area As water

col umn oxygen demand (BOD ) was comparabl e between transects reference to

sampl i ng t imes the majori ty after 1000 EST cl ari fy thi s apparent

d i screpancy These d i urnal cycl es are apparent i n F i gure 3 7

Duri ng the i mmedi ate impacts sampl i ng conduct i v i t i es were

s i gn i fi cant ly h i gher i n the experimental area than at the control

stat i ons wi th i n one hour of the passage of the harvester ( F i gure 4 6)

Cond i t i ons i n both areas had been comparabl e just pri or to the harvest

Th i s may i l l ustrate the rap id i ty wi th wh i ch fl ush i ng rates are i ncreased

Al l other in 1i1Y parameters wi th the except i on of percent saturat i on

exh i b i ted s ign i f i cant changes over t ime part i cul arly a t the bottom of

the water col umn These are i l l u strated for the rema i n i ng parameters i n

F i gures 3 9 through 3 1 1 where subtl e di fferences produced by harvest i ng

are superi mposed upon d i urnal cycl es The magni tude and s i gn of

d i fferences for many parameters in add i t i on to DO between harvested and

control stat i ons were heav i l y dependent on the t i me of day

Vert i cal grad i ents i n vari ous parameters were expected to be

reduced as a resul t of the removal of the advect i ve barri er of the

Hydri l l a mat and the consequent i ncrease i n wi nd -generated mi x i ng

Anal yses of vari ance of surface mi nus bottom in s i tu val ues as a s i ng l e

vari abl e were performed wi th stati ons

( harvested ) and control ( unharvested

comparat i ve ly non -weeded stat i ons ) Of

categori zed i nto experi mental

i ncl ud i ng both weeded and

the s i x sampl i ngs anal yzed i n

th i s manner surface to bottom grad i ents were most often observed for pH

DO and percent satura t i on Surface DO val ues ranged between 0 3 and 3 8

mgl h i gher (4 -46 saturat i on ) and surface pH between 0 04 and 0 2 SU

h i gher

4 - 1 2

Surface to bottom grad i ents were a 1 so apparent i n both

experi mental and control areas duri ng the immed i ate i mpacts sampl i ng of

October 28 and 29 Except for conduct i v i ty vert i cal grad i ents for these

two treatments were not stat i st i cal l y d i fferent from one another when the

fi ve post -harvest sampl i ng rounds were consi dered as a un i t Thi s

s i mi l ari ty i n grad i ents however shoul d not be confused wi t h the

d i fferences previ ousl y demonstrated between treatment areas for th i s

sampl i ng as the grad i ent anal ys i s i s concerned onl y wi th the d i fference

between surface and bottom val ues and makes no statement concern i ng the

rel ati ve posi t i ons of i nd i v i dual val ues

The fact that gradi ents were present at al l i n the harvested area

duri ng October may impl y that the d i mensi ons of the pl ot from wh i ch

HydrjJ l a was removed ( approxi matel y 6 by 1 20 meters ) were i nsuffi c i ent

for exi st i ng wi nd d i rect i on and vel oc i ty to cause substanti al mix i ng

Water depths ranged between 1 2 and I Sm These grad i ents were present

for pH DO and percent saturat i on agai n for the January sampl i ng i n both

control and experi mental transects wh i ch i s not surpri s i ng i n l i ght of

the degree of regrowth over four months s i nce harvest and the phys i cal

s imi l ari ty of stat i ons at th i s t i me

E2 Chemical Parameters

The anal ys i s of chemi cal data was desi gned to answer the fol l owi ng

questi ons for the sampl i ngs to date

o Are there detectabl e water qual i ty d i fferences between the

experimental and control stat i ons

o If there are was thi s ei ther d i rect l y or i nd i rect ly a product of

harvest i ng act i v i ty or i s i t the byproduct of stat i on l ocat i on

and the resul t of natural d i l ut i on grad i ents ( i e l oad i ng from

the Ki s s immee Ri ver or other sources )

o I f there are no s ign i fi cant d i fferences between harvested and

unharvested areas were d i fferences to be expected on the bas i s of

water mass compos i t i on

4 - 13

Where chemi cal spec i es are not d i rect ly correl ated wi th a d i st i nct

water mass or where i nputs to the water col umn are d i ffuse enough to

prevent the ma i ntenance of a spat i a 1 grad i ent or the detect i on of a

s i ngl e sourc e data analysi s i s s i mpl i fi ed to a compari son of treatment s

experimenta1 s agai nst control s Seasonal trend s i f present can be

factored i nto the stat i st i cal ana lys i s A s i mpl e compari son of harvested

aga i nst unharvested area chemi stry can al so be performed shoul d i on

content and rat i os i ndi cate that these water masses were i denti cal duri ng

sampl e col l ect i on and that d i l ut i on grad i ents can be i gnored

However when nutri ents or other spec i es are i ntroduced i nto a

system a ssoc i ated wi th a di sti nct water mass and when d i l ut i on with

ex i st i ng waters produces detectabl e gradi ents the quest i on s become more

compl ex In add i t i o n b i ol og i cal uptake wi l l produce non - l i near

rel a t i on sh i ps and the separati on of harvesti ng impacts from expected

gradi ents becomes more d i ffi cul t

The compl ex i ty of these questi ons i n the presence of d i l ut i on

grad i ents can be i l l ustrated graph i cal l y by reference to Fi gure 4 1 2

where hypotheti cal data appear In the fi rst part parameter X i s a

l i near func t i on of sod i um or i n other word s X i s a l so a con servati ve

parameter so i ts absol ute l evel i s affected onl y by d i l uti on wh i ch

mai nta i n s a constant X Sod i um rat i o Th i s regress i on would be devel oped

u s i ng one day s data from the ent i re gri d of n i ne control stat i ons across

the study s i te The hypothet ical data from a harvested stat i on (Stat i on

7 ) and the control (Stat i on 10 ) are al so pl otted It i s apparent that

wh i l e the l evel s of parameter X at the harvested and control stat i on

shown are probabl y not stat i st i cal l y d i fferent from one another the

harvested stat i on c l earl y fal l s outside of the 95 confi dence i nterval of

the X Sod i um regress ion for thi s data set and d i fferences from the l evel s

expected may refl ect harvest i ng i mpacts

In the second port i on of Figure 4 1 2 an al ternate s i tuat i on i s

i l l ustrated where the 1 eve1 s of parameter X at h arvested and control

stat i ons are shown to be c l earl y d i fferent However it i s apparent that

the water mass at the harvested stat i on i s sl i ghtl y more d i l ute and that

the correspond i ngl y l ower l evel s of parameter X are to be expected I n

4 - 14

both s i tuat i ons any b i ol og i cal processes affect i ng parameter X wi l l

produce even more compl ex rel at i onsh i ps

Sod i um and chl ori de were fi rst exami ned for i ns i g ht i nto water

mass movement and d i l ut i on processes occurri ng across the study s i te

The sum of these two i ons ( i n mi l l i equ i va1ent s ) was empl oyed a s an

approxi mat i on of total i on content They were both assumed to be

conservat i ve i e not part i ci pat i ng to any substant i al degree i n

b i ol og i cal processes where they might be sequestered or added to t he

water col umn F i gure 4 13 i l l ustrates thi s d i l ut i on process as i t occurs

across the study s i te The rat i o of sod i um to chl oride was al so

cal cul ated as an i dent i fy i ng feature of a part i cul ar stat i on

The gri d of ni ne control stat i ons was sampl ed on three occas i ons

August 1 8 September 30 1987 and January 13 1988 These data were

exami ned as t hey represented the 1 argest spat i a 1 area Anal yses of

vari ance i nd i cated that both total i on content and sod i um ch1 0r ide rati os

vari ed s ign i fi cant ly wi th respect to sampl i ng date I n l i ght of the

seasonal pattern of preci p i tat i on and the i nfl uence of ri ver d i scharge on

the area th i s was not surpri s i ng I n add i t i on however stat i on was

h i gh l y s i gn i f icant as a factor In the case of sod i um pl us chl ori de

th i s represents a change i n total i on content or d i l ut i on occurri ng

across a spat i al grad i ent ( Fi gure 4 14 ) I n the case of sod i um ch 1 0r i de

rat i os the fact that rat i os are di fferent at d i fferent stat i ons impl i es

that two or more separate water bod ies are represented across the s i te

( F i gure 4 1 5) I nteract i ve terms were al so s i gn i fi cant for each

parameter i nd i cat i ng that d i fferences were not cons i stent across t i me or

space Th i s i s apparent i n compari ng Fi gure 4 13 wi th Fi gure 4 14

As the mi xi ng of more than two water masses together woul d make

ana l ys i s of the rema i n i ng parameters extreme ly mathemat i cal l y compl ex

regress i ons of sodi um aga i n st chl ori de were performed for al l control

stat i ons on the three sampl i ng dates On each date correl at i ons for

l i near rel at ionshi ps were s ign i fi cant at pgt99 9 Th i s resul t al l owed

the use of the assumpt i on that onl y two water masses were mi x i ng across

the s i te Parameters associ ated wi th one of the two water masses coul d

therefore be detected by regress i ons on sod i um or some other conservat i ve

parameter

4 - 1 5

Anal yses of water qual i ty impacts were i n i t i al l y restri cted to

four sampl i ngs September 1 7 22 and 30 1 987 and January 13 1 988

Stat i ons 7 - 9 for experimental and Stat i ons 10 - 1 2 for control s (Stat i on

7 5 and 10 5 were used for the J anuary data set as an area wh i ch

i nc l uded Stat i on 7 had been reharvested shortl y before the sampl i ng )

S i gn i fi cant amounts of vari ati on between experi mental (Stat i on s 7

8 9 ) and control s ( Stati ons 1 0 1 1 1 2 ) as groups were found us i ng

two-way ANOVAs wi th date and treatment as factors (Tabl e 4 8 ) Al l

n i trogen and phosphorus spec i es (wi th the except i on of orthophosphate )

conta i ned s i gn i fi cant amounts of vari at i on d i stri buted between the

harvested and unharvested control stat i ons In add i t i on for BOD

turb id i ty and total suspended sol i d s d i fferences were present as wel l

As expected potassi um fl uoride chl ori de and sod i um d i d not d i spl ay

s i gn i fi cant vari ati ons between data from harvested and unharvested

stat i ons I ron copper total organ i c carbon and al kal i n i ty were al so

not s i gn i fi cant ly d i fferent between treatments

As d i scussed above however d i fferences between harvested and

unharvested areas are strai ghtforward onl y i f I water masses i n each of

the two treatment areas were identi cal or 2 the anal yzed parameter has

no s i gn i fi c ant rel ati onsh i p to a part i cul ar water mas s or to sod i um

Al though n o s ign i fi cant d i fferences i n sod i um o r chl ori de

concentrat i ons were observed between harvested and unharvested stat i ons

as a group di 1 ut i on grad i ents of these parameters were present wh i ch

paral l el ed the axi s of the harvested transects ( Fi gure 4 1 4 ) As a

resul t the data envel ope for the stati ons of a s i ngl e treatment was

l arge i n compar i son to any subtl e d i fferences between transects (F i gure

4 16 ) The fact that any di fferences were detected between experi mental

and control transects (Tabl e 4 8) impl i ed that they were substanti al

enough to overr ide the wi th i n -treatment vari abi l i ty expected from the

sod i um grad i ent S i gn i fi cance of i nteract i ve tems i n these model s

i nd i cated that d i fferences were not cons i stent from sampl i ng to sampl i ng

To d i rect l y compare harvested and non-harvested water qual i ty the

water of the two treatments must represent i dent i cal d i l ut i ons of source

and rece i v i ng waters As d i l ut i on gradi ents were roughly paral l el to the

transect axes stat i ons were pa i red and the d i fferences of experimental s

4 - 1 6

l ess control s cal cul ated for each pa i r of sod i um and chl ori de data

( Stat i ons 7 - 1 0 8- 1 1 9 - 1 2 Tabl es 4 9 4 10 ) The mean d i fferences

computed for al l sampl i ngs or for each date were on no occas i on d i fferent

from zero ( t - tests ) I n add i t i on no cons i stent pattern of d i fferences

was observed The conc1 us i on was that wh l l e di fferences 1 n the water

mass were present between stat i ons w ith i n a s i ngl e treatment harvested

stat i ons and t he i r adjacent control pai rs represented i dent i cal waters on

each date w i th respect to d i l ut i on

As water masses were i dent i cal the d i fferences i n parameter

concentrat i ons were cal cul ated for each stat i on pa i r as for sod i um and

chl ori de above These d i fferences are summari zed i n Tabl e 4 1 1 for those

parameters for wh i ch treatment was a s i gn i f icant factor i n the two-way

ANOVAs descri bed above (Tabl e 4 8 ) The magn i tudes of the d i fferences on

i nd i v i dual dates when not stat i st i cal l y equ i val ent to zero are al so

presented

Us i ng the pai red compari sons of stat i ons al l n i trogen s peci es and

total phosphorus exh i bi ted s i gn i fi cant al though subtl e d i fferences

between harvested and unharvested areas for the sampl i ngs to date (The

only date where orthophosphorus showed treatment d i fferences was on

September 22 and on th i s occas i on the magni tude was onl y 0 002 11191

1 ess than the 1 im i t of detect i on ) These d i fferences are most notabl e

for n i trate and ammon i a n i trogen and are i n add i t i on to any d i l ut i on

grad i ents across the s i te They can be presumed to refl ect the i mpacts

e i ther d i rect or i nd i rect of harvest i ng

Concentrat i ons where d i fferent were typi cal l y l arger i n the

unharvested control transect Th i s may be attri buted to e i ther uptake by

regrowth at harvested stat i ons or to the rel ease of nutri ents by

senescent macrophytes or peri phyton at the unharvested l ocat i ons

Fl oat i ng mats of Hydrj 1 1 a i n vari ous cond i t i ons were present through the

September 30 sampl i ng

B i ochemi cal oxygen demand turbi d i ty and suspended sol i d s al so

showed d i fferences us i ng stat i on pa i rs al though i n the i n stance of

suspended sol i ds concentrat i ons were sl i ghtl y h i gher at the harvested

stat i ons Wi nd -generated sed i ment resuspensi on i n harvested areas and

suspended senescent pl ant materi al i n the unharvested areas (contri but i ng

4- 1 7

to turbi d i ty and oxygen demand but wi th rel at i vely l i ttl e dry we i ght ) are

postul ated to account for these d i fferences Th i s i s supported

c i rcumstant i al l y by the l argest d i fference i n suspended sol ids be i ng

observed on September 30 when w i nd cond i t i ons were the most extreme of

any of the days sampl ed

The l argest number of parameters d i fferent between harvested and

weeded areas was al so observed on September 30 wh i l e the fewest were

seen on January 1 3 1 988 Whether th i s d i stri but i on across t ime i s a

res ul t of 1 ) vary ing nutri ent uptake rates throughout the growi ng season

2 ) the essent i al l y compl eted regrowth observed by the January s ampl i ng

3 ) the h i gher l ake l evel s and l ack of a fl oati ng mat of Hydri l l a perhaps

reduc i ng res idence t i mes of water across the s i te duri ng January or

4) the h i gher January nutri ent l evel s maki ng d i fferences more d i ff icul t

to d i scern i s i mposs i bl e to resol ve

Another techn i que for data anal ys i s was empl oyed on the September

30 and January 13 data sets for those parameters wh i ch were associ ated

wi th d i l ut i on grad i ents across the s i te Bri efl y i f the grid of control

stat i on s d i spl ayed s i gn i fi cant regress i ons with sod i um theoret ical

parameter concentrat i ons were cal cul ated for al l control and experimental

stati ons based on the observed sod i um data and that funct i on wi th the

h i ghest regress i on coeffi ci ent Res i dual s (V i - V hat) were then

compared by t - tests between means of experimental and control groups to

determi ne i f popul ati ons were the s ame (no impacts F i gure 3 1 2B) or

d i fferent ( i mpacts Fi gure 4 1 2A)

L i sted i n Tabl e 4 1 2 by date are the regres s i on types and

coeffi c i ents of the vari ous parameter concentrat i ons wi th sod i um Onl y

surface data from control stat i ons were used The vari ed nature of i nputs

to the s i te i s exempl i fi ed by F igures 4 1 7 and 4 18 dep i cti ng the vast l y

d i fferent d i stri buti ons of orthophosphorus between September and January

Whi l e rel at i vel y few parameters were apparentl y associ ated wi th

d i l ut i on duri ng the August sampl i ng the h i gher l oads i n September and

January perhaps coupl ed with sl owed uptake and growth rates duri ng the

l atter part of the year may produce l onger water col umn res idence t i mes

for nutri ent spec i es and permi t the detect i on of d i l ut i on grad i ents i n

4 - 18

these parameters Chl ori de and potas s i um and any other parameter onl y

s l ightl y affected by bi ol og i cal act i v i ty shoul d certa i nl y produce

s i gn i fi cant rel ati onsh i ps (The l ack of s i gn i fi cance of fl uor i de wi th

res pect to sod i um i s attri buted to the extremel y l ow l evel s encountered

e g concentrat i ons at or bel ow the l i mi t of detect i on for th i s

parameter )

Overal l the res i dual s anal ys i s of sod i um dependency proved l es s

sens i t i ve than that o f the pai red stat i ons anal yses O f the twenty-two

parameter-date combi nati ons where a s i gn i fi cant regress i on wi th sod i um

was obtai ned res i dual s of experimental stat i ons were s i gn i fi cant ly

d i fferent from res i dual s from control stat i ons for onl y three parameters

- - orthophosphorus and al kal i n i ty duri ng September 30 1 987 and n i tri teshy

n i trogen dur i ng January 13 1 988 Figure 4 19 superimposes the

experi mental stat i on orthophosphorus concentrati ons upon the rel at i onsh i p

devel oped for control stati ons i n September I t can be seen here that

the experimental stat i ons (X) are not evenl y d i stri buted around the

regress i on l i ne

Orthophosphorus concentrat i ons on th i s occas i on were l ower i n

the experi mental transect but onl y by 0 002 mgl l ess than the l i mi t of

detect i on Al kal i n i t i es at these stat i on s were h i gher than sod i um

concentrat i on s mi ght pred i ct by about 9 mgl as CaC03 Duri ng January

n i tri te - n i trogen was al so l ower at the harvested stat i ons than woul d be

expected on the bas i s of d i l ut i on al one but aga i n by l ess than the l imi t

of detect i on

As troph i c states and nutri ent l i mi tati ons wi thi n Lake Okeechobee

area of concern rati os of d i ssol ved and i norgan i c n i trogen to phosphorus

spec i es were cal cul ated and summari zed i n Tabl e 4 1 3 On a we ight bas i s

systems wi th rat i os l ess than 1 0 are typ i cal l y cons i dered n i trogen

1 i mi ted wh i l e phosphorus 1 im i tat i ons occur at rat i os greater than 1 7

( Sakamoto 1 966) Wi th th i s cr i teri on the waters o f the study s i te are

cl earl y n i trogen l imi ted i n contrast to al gal assays performed i n the

v i c i n i ty duri ng 1 974 and 1 975 ( Dye et al 1975 ) These resul ts have the

most consequences for phytopl ankton popul ati ons rather than macrophytes

as the rooted pl ants are capabl e of extracti ng at l east some i f not the

majori ty of thei r requ i red nutri ents from the hydroso i l

4 - 19

The stati st i cal anal yses d i scussed earl i er for the i ndi vi dual

parameters determi ned i norgan i c ni trogen spec i es to be h i gher i n the

unharvested control stat i ons and orthophosphorus to be s l i ghtl y l ower

ANaYA s of N P rat i os al so found s i gni fi cant d i fferences The treatment

( harvested or unharvested ) or stat i on was more important than date i n

account i ng for vari ati on Al l September and January sampl i ngs combi ned

produced mean N P rat i os for the harvested stat i ons ( 7 - 9 ) of 3 0 and for

the unharvested d i fferences coul d be attri buted e i ther to uptake by

act i vel y growi ng p l ants or to rel ease of nutri ents by senescent p l ant

materi a 1 Oi fferences between harvested and nonharvested areas were

l east apparent duri ng the January sampl i ng when ri s i ng l ake l evel and

Hydri l l a regrowth combi ned to i ncrease stat i on to stat i on phys i cal

s i m i l ari t i es

E 2 Bacteri ol ogi cal Parameters

Resul ts of total col i form anal yses (membrane fi l ter techn i que) of

sampl es col l ected on August 18 September 1 7 22 30 1987 and January 13

1 988 appear in Tabl es 4 1 4 After the August fi e ld effort sampl es were

col l ected i n conjuncti on wi th the phytopl ankton work and al l sampl es were

anal yzed by EQL Overal l bacteri ol ogi cal qual i ty was qu i t e good wi th

on ly a s i ngl e sampl e exceed i ng the 1000 counts per 100 ml cri teri on for

Cl ass I waters Th i s s i ngl e val ue of 5000 (Stat i on 1 1 September 30

1 987 ) was cl as sed as a stat i st i cal outl i er for the study as a whol e The

other two val ues from sampl es col l ected s i mul taneously were 900 and

100100 ml Most stat i on means were bel ow 200 countslOa ml

Stat i st i cal anal yses of these data empl oyed natural l og

transformat i on s Two way ANaYA s (by date and treatment and by date and

s t at i o n ) prod uced s i gn i fi cant terms for date and i nteract i ve

rel at i onsh i ps however nei ther harvesti ng nor stat i on accounted for

s ign i fi cant amounts of vari at i on Further anal yses cons i sted of mul t i pl e

l i near regress i ons of l og transformed total col i form counts aga i nst BOD

turb i d i ty total suspended sol i d s sod i um and chl ori de content ( as water

mass i ndi cators ) col or and s i l i cates A s i gn i fi cant regress i on model

whi ch i ncl uded BOD col or and TSS was obtai ned (r2 = 0 255 n 72) A

4 -20

d i rect rel ati onsh i p wi th BOD was not surpri s i ng The vari at i on wi th

col or val ues may be support for runoff control l ed bacteri a l evel s in the

l ake i ncreas i ng duri ng peri ods of h i gh d i scharge or backpump i ng (wh ich

are themsel ves characteri zed by i ncreased col or l evel s from t he

accumul ated surface waters An i nverse rel at i onsh i p w i th TSS l evel s was

l ess amenabl e to i nterpretat i on and i s l i kely to have been an art i fact of

some other control l i ng i nfl uence

IV E WATER QUALITY IMPACTS - QUALITY ASSURANCE OBJECTIVES

Prec i s i on and accuracy targets and resul ts for in ll1Y water

qual i ty parameters are presented in Tabl e 4 1 5 Prec i s i on est i mates were

based on dupl i cate in 1iY determi nat i ons expressed as percent rel ati ve

standard devi at i on (S RSD) Measurements at one stat i on per day were

typ i cal l y repl i cated i n thi s fash i on Prec i s i on est i mates for fi el d

measurements necessari l y i nc l uded the representati veness of the sampl i ng

as any non - homogene i ty of the s i te bei ng sampl ed appeared i n these

resul t s

Accuracy was determi ned from both pre- and post - sampl i ng

cal i brat i on of i nstrumentati on and where appl i cabl e the s i mu l taneous

col l ect i on of sampl es for l aboratory analysi s wi th al ternate procedures

or equ i pment Thi s was expressed as percent recovery ( R) of

f i el dl aboratory val ues t i mes 1 0 Col l ect i on of sampl es for

veri f icat i on was typi cal l y conducted at a rate of 1 for every 1 0 stati ons

samp l ed For th i s project di ssol ved oxygen and conducti v i ty were so

veri fi ed

Comparabi l i ty o f data was veri fi ed duri ng the pre- and postshy

sampl i ng cal i brati ons of i nstrumentat i on aga i nst standard sol ut i ons or

phys i c al constants Compl eteness of in 1iY data was esti mated to be

greater than 88 throughout the sampl i ngs to date

The qual i ty assurance object i ves for l aboratory anal yses were

anal ogous to those d i scussed for the i n s i tu parameters and are l i sted i n

Tabl e 4 14 Prec i s i on esti mates were determi ned from the anal yt i cal

resul ts and SRSD between the concentrati ons of two al i quots of a s i ng l e

conta i ner Dupl i cate analyses were performed at a rate of at l east one

4 - 2 1

for every ten sampl es The RSD between sampl es only sl i ghtly above the

l i mi t of detect i on i s often qu i te h i gh al though the analys i s i s

extremel y prec i se ( L e 0 001 and 0 002 11191 47 1 RSD ) Some mean

tRSD val ues and SD val ues are skewed by these seemi ngl y i mprec i se

dupl i cates that are actual l y wi th i n QA l i mi ts Accuracy of analyses was

assessed by the analys i s of sampl es to wh i ch known amounts of standard

materi al s had been added

IVG I NTERIM SUMMARY AND CONCLUSIONS

The study area i mmedi ately south of the entrance of the Ki s s 1mee

R i ver i nto Lake Okeechobee represents a compl ex combi nat i on of factors

wi t h regard to water qual i ty Vari at i ons with t i me were observed for

almost al l parameters measured D i ssol ved oxygen v i ol at i ons of the 5 0

11191 i nstantaneous cri teri on were common and d i urnal cycl es of DO and

rel ated parameters were apparent The skew i n sampl i ng t i mes toward the

morn i ng hours undoubtedly i ncreased the number of observed v i ol at i ons

a l though sampl i ng l ater i n the afternoon woul d i ncrease the percent

saturat i on of d i ssol ved gases and val ues i n excess of the 1 10 cri terion

wou l d have resul ted

In li1Y parameters were i n i t i al l y eval uated for stat i st i cal

d i fferences between harvested and unharvested stat i ons as a grou p

Di fferences i n DO percent saturat i on and p H were observed and were most

marked at the bottom of the water col umn and duri ng the September

sampl i ngs Pred i ct abl y harvesti ng reduced the ampl i tude of the d i urnal

DO cycl e such that DO concentrat i ons were h i gher i n the harvested

transect i n the morn i ng hours and l ower duri ng the afternoon Both the

magn i tude and the d i rect i on of the observed d i fferences were therefore a

funct i on of the t i me of sampl i ng

A rap i d change i n water masses was al so observed at harvested

stat i ons and th i s was attri buted to the i ncreased fl ush i ng potent i al

produced by Hydri l l a removal Inten s i ve surveys detected vert i cal

grad i ents of s i mi l ar magn i tudes for i n s i tu parameters at both harvested

and control stati ons The s i ze of the harvested transect may have been

too smal l to al l ow wi nd-generated vert i cal mi xi ng to be effect i ve

4-22

Bacteri ol og i cal water qual i ty at the s i te was good overal l wel l

wi th i n the 1000 1100 ml cri teri on and correl at i ons w ith col or BOD and

TSS were present Col or rel at i onshi ps i ndi cate a functi onal rel at i onsh i p

of total col i form wi th d i scharge i nto the l ake whi l e the rel at i onsh i p

wi th TSS was i nverse

Chemi cal water qual i ty d i stri but i ons at the s i te were a l so qu i te

compl ex Spat i al and d i l uti on grad i ents produced by the i nfl uence of the

K i s s i mmee Ri ver were qu i t e apparent as determi ned by conservat i ve

parameters such as sod i um and chl ori de The d i l ut i on grad i ents were

roughl y paral l el wi th the l ong axi s of the harvested transects such that

a progress i on of i ncreas i ng strengths of Lake Ri ver d i l ut i ons were

observed al ong both the experimental harvested transect and the adjacent

unharvested control transect Thi s transl ated to a h i gh wi th i n -treatment

va ri a b n i ty of water masses compared to the between- treatment

vari abi l i ty wh i ch i n turn may obscure d i fferences between harvested and

unharvested areas i n stra ightforward stat i st i cal compari sons

Overal l stat i sti cal techni ques were sat i sfactory because the

number of sampl es adequate for determi ni ng di fferences i n concentrat i ons

was at or near the analyt i cal l imi ts of detect i on The three stat i st i cal

anal yses were 1 ) d i rect compari sons (means test i ng and ANOVA s ) of

harvested to unharvested data sets 2) ana lys i s by d i fference of stat i on

pa i rs ( harvested l ess the adjacent control stati on) and whether

d i fferences were stat i sti cal l y d i fferent from zero and 3) res i dual s

anal ysi s of those parameters wi th a s ign i fi cant rel at i onsh i p w i th sod i um

and whether the popul ati on of res i dual s from control stati ons was

equ i val ent to those from the harvested stati ons

Ana lys i s of harvested versus unharvested data groups by parameter

reveal ed s i gn i fi cant d i fferences between treatments for al l n i trogen

spec i es total phosphorus BOD turb id i ty and total suspended sol i ds

These d i fferences are i n sp i te of the broad envel ope i n water qual i ty

conta i ned wi th i n each treatment type However d i rect compari sons and

correct est i mati on of the magni tude of harvest i ng impacts are poss i bl e

onl y where the water masses of the two treatments can be assumed to

represent equ i val ent po i nts on the d i l ut i on grad i ent

The d i fference i n sod i um and chl ori de concentrat i ons between each

harvested stat i on and i ts adjacent unharvested stat i on was cal cul ated

For al l dates these d i fferences were equ i val ent to zero mean i ng that

the water mass was i dent i cal at Stati ons 7 and 10 at Stat i ons 8 and 1 1

and at Stat i ons 9 and 1 2 The d i fferences i n concentrat i ons between the

stat i on pai rs cou l d then be calcul ated Al l n i trogen spec i es and total

phosphorus concentrat i ons were typ i cal l y h i gher i n the unharvested

transect On the one occas i on where orthophosphorus d i ffered between

treatments i t was s l i ghtl y h i gher i n the harvested transect Turbid i ty

and BOD were al so h i gher at the control stat i ons wh i l e total suspended

sol i ds were sl ightly l ess Uptake by macrophytes i n act i ve regrowth

rel ease o f nutri ents by senescent and matted pl ant mater i al and wi nd shy

generated resuspens i on may account for thi s pattern

Ana lys i s of those parameters associ ated wi th d i l u t i on and of those

wi th s i gn i fi cant correl at i ons wi th sod i um proved l ess sens i t i ve for

detect i ng d i fferences Al though many parameters d i spl ayed s i gn i f icant

rel at i onsh i ps the i r d i stri but i on around the regress i on l i ne was

cons i derabl e and res i dual popul at i ons were s i gn i fi cantly d i fferent

between treatments for only three parameters

The s i te as a whol e appeared to be n i t rogen 1 i mi ted based on

we i g ht r at i os of i norgan i c n i trogen forms to orthophosphorus

O i fferences between harvested and unharvested areas were apparent here

al so w i th average rat i o s of 3 0 and 9 4 respect i vely

IVG RECOMMENDATIONS - FINAL REPORT

For the rema i n i ng two quarterly sampl i ngs i n th i s task a

real l ocat i on of effort i s proposed wh i ch woul d del ete copper and fl uori de

from the anal yt i cal su i tes These two parameters were e i ther at or near

the 1 im i ts of analyt i cal detect i on for al most al l s ampl es and

stat i sti cal analyses were not effect i ve i n determi n i ng any d i fferences

attri butabl e to harvest i ng at these l ow concentrat i ons N i tri teshy

n i trogen however shoul d be reta i ned Al though l evel s were l ow they

are i mportant i n th i s n i trogen 1 i mi ted system and d i fferences between

treatments were apparent The Ki ss i mmee R i ver stat i on shou l d cont i nue to

4-24

be sampl ed and another stat i on shou l d be added to the west of Stat i on 1

toward Buckhead Ridge as an i ntermi ttent nutri ent i nput may be present

there Mon i tori ng of these two add i t i onal stat i ons shou l d cont i nue for

al l parameters In pl ace of copper and fl uor ide anal yses d i ssol ved

cal c i um i s suggested as a repl acement to prov ide a bas i s of compari son

wi th other work done prev i ously i n the l ake and to exam i ne i ts behav i or

across the s i te The poss i b i l i ty of mov i ng the exper imental and control

stat i on pai rs ( Stat i ons 7 - 1 2 ) to the most recently harvested area for the

subsequent sampl i ng i s currentl y be i ng d i scussed wi th the task l eaders of

the i nter-rel ated tasks

Future data exami nat i ons wh i ch wi 1 1 be conducted for the fi nal

report of th i s project i ncl ude the deta i l ed assessment of l i ght

penetrat i on profi l es and the effect of the weed mat upon these The data

from the 24 hour fi el d demonstrat i on sampl i ng wi l l be eval uated w ith

regard to chemi cal parameters and the i mmedi ate effects produced by

harvest i ng S i l i cates col or and i norgan i c carbon data wi l l be

processed as wi l l the rema i n i ng parameters for d i fferences between

experi mental and control stat i on s and a further anal ys i s of d i ssol ved

oxygen wi th cons i derat i ons for t i me of day vegetat i on and even sed i ment

type wi l l be conducted

4-25

LITERATURE CITED

Dye C W D A Jones L T Ros s R L Wi l l more 1 975 L imi t i ng nutri ents i n the Ki ss i llll1ee Ri ver - Lake Okeechobee Bas i n based on al gal assay techni ques Fl a Dept Envi ronmental Regul at i on Sakamoto H 1 966 Pri mary product i on by phytopl ankton conununi ty i n some Japanese l akes and i ts dependence on l ake depth Arch Hydrobi ol 62 1 - 28

4-26

Table 4 1 Mean IDran coordinates of water quality staticns

STATIOO NO

1 2 3 7 7 5 8 9 10 10 5 11 12 13 15 16

Ipound)RAN 1 JPRAN 2

14313 2 45453 2 14312 6 43449 1 14312 4 43445 9 14313 6 43449 1 14313 4 43448 2 14313 2 43447 7 14312 9 43446 1 14313 7 43448 5 14313 5 43447 7 14313 4 43447 3 14312 9 43445 7 14315 1 43444 6 14313 9 43443 2 143109 43437 8

Table 4 2 water Quality parameters methods ard holdirq times

Parameter

TeJlFerature Corrluctivity pi ORP Dissolved Oxygen Light Penetratim Secxhl laboratory 0rthqil0spl0rus (D) Total AlosJtIorus (D) AImalia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrogen (D) Total Kjeldahl Nitrogen ium (D) Ccgler (D) Iran (D) Total OJgan1c carbon Alkalinity Biochemical Oxygen DeuanI lu1)idity SUspenled Solids Ibtal Ollifonn auoride Scdium Fluoride Color silicates (D) Inorganic Cartlon

MetbodlInstrument

Martek Mark VII Martek Mark VII Martek Mark VII Martek Mark VII YSI 57 LiOlr Secxhl Disk (LiDngtlogical)

EPA 365 1 365 3 EPA 365 3 365 4 SM 417F EPA 350 3 EPA 353 3 353 3 EPA 353 2 353 3 EPA 351 2 SM 30lA SM 303A B SM 303A B EPA 415 1 8M 403 4C EPA 3102 EPA 405 1 EPA 180 1 SM 2090 8M 908A 909A SM 4070 EPA 325 3 SM 303A EPA 3402 SM 204A B EPA 370 1 SM 425C EPA 415 1

Holdirg TimePreservative Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable

Filter iDmSdiately 48 hrs4Oc 28 daYSH2S04 to pllt2 40c Filter bImadiately 28 daYSH2S04 to pllt2 40c Filter bImadiately 48 hrsH4 to pllt2 40c Filter iDmSdiately 28 daYSH4 to pHlt2 40c 28 daYSH2S04 to pllt2 40c Filter iDmSdlately 6 1IDSIftll) to pllt2 40c Filter iDmSdiately 6 1IDSIftll) to pllt2 40c Filter inmediately 6 1IDSIftll) to pHlt2 40c 28 daYSH2S04 to pIlt2 40c 14 days4oC 48 hrs4Oc 48 hrs4Oc 7 days4Oc 6 hrs4Oc 28 days4Oc Filter inmdiately 6 lOOIlthslftll) to pIlt2 40c 28 days4Oc 48 hrs4Oc 28 days4Oc 28 days4Oc

EPA = EPA 6004-7920 Methods for OJemical Analysis of water ard wastes SM = stanIard Methods for the Examination of water ard wastewater 15th Fdition 1980 (D) = Dissolved

Tabl e 4 3

Date

Aug 18 1987

Sept 17 1987

Sept 22 1987

Sept 30 1987

Oct 28-29 1987

Jan 13 1988

Sampl i ng efforts and dates Water Qual i ty Tas k

Sampl i ng Type

Basel i ne

Short Term Impacts

Short Term Impacts

Quarterly

F i el d Demonstrat i on

Quart erly

No of Stat i ons

9

6

6

12

6

12

No of V i al s

1

1

1

1

6

1

Table 4 4 site averages of in situ parameters by sanplirg date all stations all depths

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 28 18 18 36 144 68

2 SD 2 S D 2 S D S( S D S( S D 2 SD

onluctivity 0 5350 0661 0 5397 0351 0 5074 0550 0 4985 0517 0 3921 0731 0 3017 0895

ORP 493 109 441 42 298 77 293 47 295 31 247 55

Pi 8 02 0 55 8 27 0 34 7 56 027 7 47 043 7 72 0 51 7 59 0 30

lenperature 28 95 144 27 34 0 50 27 23 054 26 67 041 23 11 099 16 67 078

Dissolved Oxygen (00) 5 02 3 20 3 51 2 20 2 87 1 32 5 11 2 28 664 2 25 8 16 1 58

PeJta1t SaturatiCBl 66 1 42 9 44 4 27 9 36 3 16 7 64 0 28 6 77 8 269 84 0 16 7

00 cbs lt1 0 nql 128 318 218 336 0144 168

00 cbs lt4 0 nql 1428 U18 1318 936 14144 168

00 cbs lt5 0 ugII 1428 1218 1618 1536 41144 268

Table 4 5 Site averages of water quality parameters by sanplirg date all stations all depths

1987 l2sectsect AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 39 18 18 48 7 3 54 K SD K SD I SD K S D K SD K SD

0rthqil0sJil0 0 019 0 007 0 017 0 005 OOll 0 003 O OlS 0 014 0 033 0 011 0 082 0 045 Total rus 0 07 0 11 0 10 0 01 0 08 0 01 0 09 0 03 0 12 0 06 0 15 0 05

Anrncnia-nitrogen 0 039 0 018 0 04 5 0 042 0 017 0 012 0 012 0 017 0 040 0 029 0 04 6 0 036 Nitrite-nitrogen 0 004 0 001 0 005 0 004 0 004 0 001 0 003 0 003 0 004 0 001 0 008 0 004 Nitrate-nitrite-nitrogen 0 009 0 003 0 034 0 036 0 039 0 021 0 048 0 046 0 038 Q 019 0 190 0 039 Total Kjeldahl nitrogen 1 52 0 26 1 75 0 15 1 55 0 28 1 47 0 18 1 29 0 20 1 20 0 17 Potassium 4 4 0 9 4 7 0 3 4 5 0 3 4 2 1 0 2 9 0 5 3 9 1 0

Cqpar 0 003 0 002 0 003 0 002 0 003 0 001 0 002 0 001 0 001 0 001 0 002 0 002 Iron 0 002 0 002 0 014 0 007 0 014 0 007 0 015 0 019 0 048 0 018 0 090 0 031 ampxlium 4 8 9 7 6 47 3 4 6 46 9 4 7 49 0 9 4 31 0 8 9 28 2 8 1 Olloride 8 5 8 13 1 79 6 6 4 76 5 8 6 76 2 10 0 55 9 14 9 48 2 16 7 Fluoride 0 3 0 03 0 3 0 05 0 3 0 03 0 3 0 04 0 1 0 03 0 2 0 03 lbtal organic carlxln 2 1 7 1 6 17 9 0 9 18 1 0 8 18 4 1 0 19 7 2 5 18 4 3 0 Alkalinity 105 14 117 5 113 8 1U 10 7 3 15 68 lS Biochemical oxygen deHard 1 9 1 0 2 7 1 3 2 2 0 6 2 3 1 2 1 5 0 7 1 1 0 6 lubidi ty 2 4 1 9 4 2 0 9 4 1 1 5 4 0 2 9 3 1 2 5 3 7 2 1 Total susperded solids 3 3 3 3 6 0 2 3 5 7 2 4 6 3 4 7 4 5 3 9 3 1 4 1 Oller 61 5 66 9 81 9 113 10 silicates 12 8 2 2 13 1 2 2 12 0 3 0 5 4 0 5 Inorganic carlon 17 4 4 3 19 9 2 8 20 4 4 4 11 9 5 2

11=18

Table 4 6 site averages of water quality parameters for the KissiJulse River by sanpling date

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 JAN 13

0 032 0 096 0 12 7 0 116 0 063 Total (ilcsphorus 0 09 0 18 0 20 0 20 0 12 Almalia-nitrcgen 0 021 0 036 lt0 005 0 017 0 069 Nitrite-nitrcgen lt0 005 lt0 005 lt0 005 lt0 005 0 027 Nitrate-nitrite-nitrogen 0 012 0 009 0 072 0 188 0 151 Total Kje1dahl nitrogen 0 51 1 39 1 40 1 12 1 08 Ibtassium 3 7 3 6 3 5 2 9 3 2

((gler 0 003 0 003 0 004 0 001 lt0 001 Iron 0 008 0 085 0 095 0 172 0 225 Sodium 3 3 4 2 6 5 24 2 2 1 0 15 0 Olloride 60 6 47 8 4 1 9 38 7 23 7 Fluoride 0 3 0 3 0 3 0 2 0 2 Total organic cartxn 19 6 19 5 19 9 18 8 17 4 Alkalinity 89 7 3 66 57 34 Biochemical oxygen daDaM 2 4 3 0 1 5 1 3 0 5 lJnbidity 3 0 3 9 2 7 2 3 2 3 Total suspenied solids J 9 4 8 4 0 2 5 2 0 Color 110 130 130 125 Silicates 6 58 6 42 5 67 3 17 Iooxganic carbon 4 4 9 6 7 2 1 1

Tabl e 4 7 S i g n i f icant F middot test rat i os for two-way ANOVA s by treatment and samp 1 1 ng round for in illY data co 1 1 ected duri ng fi el d demonstrat i on samp l i ng October 28-29 1987

FmiddotTET RAT IOS

TREATMENI ROUND INTERACTION (Exp vs control ) (1-5 only ) (Treatment x Round )

CONDUCTI V lTV Surface 25 99 1 14 56 Bottom 28 3 5 4 26 1 6 73

ORP Surface 2 1 10 Bottom 5 35

pH Surface 32 67 33 10 Bottom 1 1 1 5 4 5 1 4 48

Temperature Surface 104 64 Bottom 21 95 1 1 73 8 17

D i s sol ved Surface Oxygen Bottom 14 1 5 7 98 5 20

Saturat i on Surface Bottom 7 66 3 87

df df error bull 20 F 0 05 [df 20 ] bull

1

4 35

4

2 87

4

2 87

Table 4 8 Significant F-test ratios fnD two way analysis of variane by date ani treatment statiCllS 7-12 only Septedler 17 22 30 1987 ani JanJaIY 13 1988 data

rus dissolved Total pnsphorus Anroonia-nitrogen di ssolved Nitrite-nitrogen dissolved Nitrate-nitrite-nitrogen dissolved Total Kjeldahl nitrogen RltassilDU di ssel ved Cqpr di ssolved Iron dissolved Total organic car1xXl Alkalinity Biochemical oxygen demard TUlbidi ty Total suspenied solids Chloride SOdilDU Fluoride

Degrees of freedaD

Degrees freedan of error = 64

F 0 05 [df 60]

595 12 31 05

4 09 96 71 51 06 31 28

225 02 6 34

424 47 23 36 18 32 28 69

171 46 145 71

49 55

3

2 76

lREMMENl ( vs cxmR)L)

10 24 4 81

17 59 12 57

6 75

6 31 24 03 22 36

1

4 00

3 89

4 64 4 94 5 08

3

2 76

Table 4 9

09-17-87

09-22-87

09-30-87

01-13-88

x = -0 1778 S = 2 7444

Scxtium statioo means Harvested ani unharvested statioo pairs

ScxUum station Means Difference

ExIJerirental COntrol (E-C)

44 5000 42 4000 2 1000 44 3667 4 8 9000 -4 5333 4 9 9667 53 6000 -3 6333

4 3 3000 4 3 9333 -0 6333 4 6 7333 4 2 4000 4 3333 53 1667 51 9333 1 2334

4 1 7667 4 2 5333 -0 7666 4 2 4333 46 0333 -3 6000 4 5 9333 44 2000 1 7333

2 3 4000 2 1 6667 1 7333 25 8667 24 3667 1 5000 26 4333 28 0333 -1 6000

Units are rrgJl

Sn-l

-2 0222 3 5982

2 1611 2 4800

-0 8778 2 6684

0 5444 1 8608

Table 4 10 Chloride statioo means Harvested ani Ulharvested statioo pairs units are ugll

Chloride station Means Difference

Experimental orttrol (E-C)

09-17-87 74 8000 75 4000 -0 6000 78 5000 74 5667 3 9333 0 1444 3 4769 85 5667 88 4667 -2 9000

09-22-87 67 8000 77 0667 -3 2667 74 2000 71 0333 3 1667 1 5778 4 2774 89 9333 85 1000 4 8333

09-30-87 70 1333 71 0667 -0 9334 71 5667 72 3000 -0 7333 -0 4333 0 7000 7 3 3000 72 9333 0 3667

01-13-87 38 2667 3 6 8000 1 4667 44 2000 40 7000 3 5000 1 6556 1 7576 4 3 7000 43 7000 0 0000

Table 4 11 Magnitude of significant differerrss between means of experimental ani onbol transects CCI1igtined ani tri individual dates Units are Dgl

All dates 091787 092287 091087 011388

dissolved 0 002 Total (i1osIi1oros -0 010 -0 024 Almalia-ni trogen

dissolved -0082 -0 060 -0 016 Nitrite-nitrogen di sselved -o OOl -0 004 -0 002 -0 005 -0 001 Nitrate-nitrite-nitrogen -0 029 -oOl2 -0 077 Total Kjeldahl nitrogen -0 10 -020 Potassium di ssel ved -ol Copper dissolved Ian d j ssel ved Total otganic carbal Alkalinity Biodlemical oxygen demand -05 -1 7 llrbidi ty -1 5 -1 l -l 6 Total suspenJed solids 4 7 4 7 4 8 7 0 2 5 OJloride 17 Sodium Fluoride OOl

nql as caC03 NIU

Table 4 12 Reqressioo type ani oorrelatioo ooefficients (r) of sodium vs parameters listed by date r 95 = 0 381 r 99 == 0 48 7

dissolved Ibtal rus Anmlnia-nitnlgen di ssolved Nitrite-nitnlgen dissolved Nitrate-nitrite-nitroqen di ssolved Ibtal Kjeldahl nitroqen RgttassilDU djssolved Qgler di ssolved Iron di ssolvEd Ibtal organic carbon Alkalinity Bioci1emical oxygen demard llrbidity Ibtal suspeOOed solids Q1loride Sodium dissolved Fluoride

L - Linear IN - lDgarithmic E - Exponential P - IOwer

AOO 18 1987

[

E 0 4941

L 0 4816

p -0 8711

E -0 6102

p 0 9460

E 0 3801

SEP 30 1987 JNf 13 1988

[ r

IN -0 8223 L 0 9093 E -0 8675 L 0 8980

L 0 6168 IN -0 4739 E -0 6466

E -0 4185 L 0 8998 L 0 4144 L 0 9056

L -0 3802 IN -0 4440 E -0 3971 L 0 7797 IN 0 6093 IN 0 9617 E -0 5350 E -0 8068 E -0 7956 L 0 9608 IN 0 9619

n == 27

Tabl e 4 13

STA

7

8

9

10

1 1

1 2

Mean N i trogen Phosphorus rat i os by date for experimental and control stat i ons Inorgan i c and d i ssol ved spec i es only Un i ts are mgNmgP n-3 for each mean

SEP 1 7 SEP 22 SEP 30 JAN 1 3 II S D II S D II S D II S D

1 90 1 06 2 12 0 1 1 1 64 0 82 3 97 0 25

3 00 3 46 4 1 2 1 3 1 1 96 0 76 3 27 0 03

2 94 4 06 1 90 1 03 4 69 0 75 3 77 0 04

7 25 3 30 4 88 0 49 2 94 0 51 4 0 1 0 1 3

6 28 2 30 8 92 2 27 9 85 3 08 3 38 0 14

7 94 4 35 1 2 25 0 22 28 3 1 8 94 4 00 0 18

Table 4 14 Quality assuraJICIe targets and nasults for precision and aouracy lake Okeechobee

(D) Total Ftloeqilorus Al1mlnia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrite-

Nitrogen (D) lbtal Kjeldahl Nitrogen Rltassium (D) Cqpar (D) Iron (D) Total Organic carlxln Alkalinity Biochemical OXygen Demand l1rbidi ty Total SUspenled Solids Olloride Sodium (D) Fluoride Silicates (D) Inoxqanic carlxln Color Dissolved OXygen Carrlucti vi ty Tenperature PI

Precisicra

x RSD S D

3 5 3 5 5 6 7 8 1 2 5 7 4 5

2 4 4 5 7 8 3 3 3 3 12 13 2 2 4 5 13 11 1 2 4 5 3 2 5 6 2 3 4 4 2 2 3 2 3 4 13 11 1 2 3 5 5 8 5 4 2 3

Aauracy x Recovery SD

93 6 - 97 6 94 8 - 102 8 99 5 - 957 98 8

99 8 - 98 8 111 17 111 18 100 4 101 5 101 8 106 11

97 11 1004

99 6 99 7 104 5

98 12 96 8 97 11

102 7 101 12 102 5

99 4 99 3

RESUIIIS Precisicra Accuracy

n x RSD SD n x - Recovery

31 2 7 3 4 19 92 5 35 3 1 2 9 20 94 0 20 4 6 6 9 22 97 1 21 0 9 4 4 18 98 8

28 3 1 3 7 26 96 1 31 2 2 2 5 22 107 4 30 3 3 3 0 32 1002 34 4 7 7 0 23 100 3 18 3 9 3 0 23 98 1 86 3 1 2 6 26 98 3 24 98 2 1 95 33 1 1 71 6 3 10 9 28 2 4 2 5 29 8 6 6 1 30 0 26 0 5 19 96 3 3 3 1 9 2 3 31 93 7 30 2 6 2 2 17 1009 14 52 07 8 98 7 62 4 8 3 1 6 105 2 10 0 3 0 6 6 102 9

6 3 1 3 5 16 102 6 9 1 3 1 3 16 99 2

10 0 54 0 62 6 100 1 10 1 18 1 35 12 1007

SD

3 1 6 0

10 0 3 3

6 7 8 7

16 5 3 1

20 6 16 8

1 4

6 0 14 0 11 2

3 9 7 5

11 2 9 2 1 71 1 94 3 99

I I

1

H A R V E S T I N G T R A N S E C T S (l m E X P E R I M E N T AL T RA N S E C T S

middot middot middot middot middot middot middot middot middot middot A PP R OX I M A T E W E E D L I N E

I - I t middot I I I I I )-I t-I sect )- 0

f- 0 Z LIJ J LIJ 01 a o 0 C) l LlJ O degl LIJ laquo LIJ J1 w 0

middot

middot middot

1111 111 bull

m

middot

middot

middot

LAKE OKEECHOBEE

-

N O R T H L A K E S HO A L

F i g u re 4 1 P ro p o sed harves t i ng a rea La ke O keechbee Demo n s t ra t i on Proj ec t

Fi g u re 4 2 Proposed harvest i ng a rea Lake Okeechobee Demonstra t i on Area

M A R K E D S U P PORT ---- t

LIN E

OUTER POLYETHY L E N E

S C R E EN (COA R S E)

TYGON I-----TUBING

)----- CLA M P

INNER POLYETHYL E N E

S C R E E N (093 0 m m MESH)

RoH----- PVC BODY AND END CAPS

-----OPT IONAL W E IGHT

F i gure 4 3 Weed excl uding device for water samp l e col l ection

[=J H A R V E S T I N G T R A N S E C T S 1 1 E X P E R I M E N T A L T R A N S E C T S A PP R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

middotmiddot 1 I middot D r nnn I 2 - I UUU I

1 I-

I I I I I I sect

gt- 1 0 I- 0 ZI UJ l UJ degl aJ o 0 en I UJ 0 Cl UJ laquo UJ -J I (I 0

-

N O R T H L A K E S H O A L

Fig ure 4 4 Bas e l ine sam p l ing S tation locations Aug u s t 18 1987

H A RV E S T IN G T R A N S E C T S

Im1 E X P E R I M E N T A L T R A N S E C T S

A P PR O X I M A T E W E E D L I N E

J 1

t middot I I I I f I 1 )shyI I-I

)- 1 0 I- U zl LaJ J LaJ degl aJ U 0 ClJI J LaJ U c lIJ ct lIJ

-I I 0 () O

LAKE OKEECHOBEE

u middot

N O R T H L A K E

S H O A L

( t _ _ -J--=--=r= _ _ _ C_OJlt bull bull t== a _ 1 _ ___ - _

_ If-_r-=-

-

F i gu re 4 5 Immed i ate i mpacts s amp l i ng S ta ti o n l ocati on s September 1 7 22 1 987

U C I bull

UC2 bull

U C 3 bull

Fi gu re 4 6 Fi e l d demons tra ti o n samp l i ng Sta t i on l oc a t i ons Oc tober 2 8 29 1987

Di sso lved Oxyg e n 1 4--------------------------------------------------------

1 2

1 0

8 -

6 middot

2--------_----------_-------------------------- 1 2 3 4 5 6

Ro u n d

-e- C 1 - S u rface o C 1 - Bottom

bull UC 1 -Su rface UC 1 -Bottom

F i g u re 4 7 Fiel d demons trati on samp l i ng Di ssol ved oxygen a t ha rvested (C) a nd unha rvested ( UC ) sta ti ons over a 24 hr peri od Uni ts are rug l

C on d u ctivity 6 bull CJ - S u rfa ce

B CJ-Bottom

bull UCJ-Surface

55 lIP U C3 -8ottom

5

45 -

4 --

35

3-----------1r----------r-------------------------

1 2 4 5 6

R o u n d F i gure 4 8 F i e l d demons tra ti on samp l i ng Conduc t i v i ty a t harve s ted ( C ) a nd u nha rves ted ( UC ) s ta t i on s over

a 24 hour peri od Un i ts a re mmho scm

2 6 Tem p e ratu re

C3- Surface

B C 5 -Bottom

-- UC3-Surlace

25 UC3- Bottom

2 4

w-------- 23

2 2

2 1

20+-----------------------------------------------

1 2 5 4 5 6

Rou n d F i gure 4 9 F i e l d demonstra t i o n sampl i ng Tempe ra tu re a t ha rves ted ( C ) a nd unha rvested ( UC) s t a t i o n s

over a 24 hou r per i od Uni t s a re degrees C

O R P 350 bull C2-Surfoce

D C2- BoUom

bullbull bull UC2-Surfo ce

bull U C2 - BoUom

300 -

250

2 00

1 50+-------T------------------------------------- 1 2 3 4 5 6

R o u n d F i g u re 4 1 0 F i e l d demo n s t ra t i on samp l i ng Oxi da t i o n re duc ti o n potenti a l a t ha rve s t ed ( C ) a n d u n h a rve s ted ( UC )

sta t i o ns over a 24 hou r peri o d Uni ts a re mv

pH 9----------------------------------------------------------

8 5

e

7 5 -

7

6 5 -

------II------bull -

-----

6-------------------------------------------------- 1 2 3 4 5 6

R o u n d

bull C 2 - Su rioce

D C 2 Bottom

- U C 2 - S u rfa ce

UC2- Bottom

Fi gure 4 1 1 F i e l d demo ns t ra t i on samp l i ng pH a t harves ted ( C ) a nd unha rve s ted ( UC ) sta t i o n s over a 24 hou r per i o d Un i ts are s ta nda rd u n i t s

A

8

x c cu

cu

E tU shy

tU a

x c cu

cu

E tU shy

tU a

- 9 5 96 e J

- 95 96 CJ

bull Unharvested (control) station

x Harvested (experimenta I) station

bull Control station adjacent to harvested station

F i g u re 4 12 Hyp o t he t i ca l da ta i l l u s tra t t ng s od i um dependence of pa rameter X a n d p o s s i b l e e r ro r s i f u s i ng mea n s tes ti ng a l one fo r i mp a c t

d e termi na t i o n

F i g u re 4 1 3 D i s t r i bu ti on o f s od i um concen tra ti o n s Ja n 1 3 1988 Un i t s a re mg l

40

20

2 5

Fi gure 4 1 4 Sum of sodi um and chl ori de co ncentrati ons Sep 30 198 7 Un i ts are mi l l i shyequi va l ents l i ter

40

F i gu re 4 1 5 Di s tri bu t i on of sod i um c h l or i d e ra t i o s Sep t 30 1987

095

095

3

bull 1 2

0 x 9 x 8 IC) E 2 -J laquoI bull I I Z

x 7 bull 1 0

2 Experimental Control

F i g u re 4 1 6 Sta t i on mea ns of middot so d i um c o ncentra t i o n s for e x pe r i me n t a l ( ha rv e s ted ) a nd control ( u n ha rve sted) s ta t i o n s J a nuary 1 3 1988

Q en E

024

020

0 1 6

J a O 1 2 I

o a

008

004

000

bull control I harvested

bull bull

bull bull

------------------r---------------1 5 25 3 5 4 5 5 5 6 5 75

Na (mg()

F i g u re 4 1 1 Regre s s i on of sod i um vs o rthophospha te for con t ro l stati ons September 3 0 1 987

o 0) E

02 4

020

0 1 6

a 0 1 2 I v

o a

008

004

bull control l( harvested

ooo------------------------------------ 1 5 25 3 5 45 5 5 65 75

Na (mg l)

Figure 4 1 8 Reg res s i on of sod i um vs o rthophosphate for contro l s ta t i ons Janua ry 1 3 1988

Q -

0)

E

024

020

0 f 6

-

CL 0 1 2 I q

o a

008

004

bull control )I harvested

bull

bull bull

bull bull

000+---------1r------1 5 25 35 4 5 5 5 6 5 75

Na (mgI)

F i gure 4 1 9 Re gre s s i o n o f sodi um v s ort hophospha te for control s tati o ns with ha rvested s ta t i on data supe r i mpo sed Septembe r 30 1 987

V PHYTOPLANKTON I PRIMARY PRODUCTIV ITY STUDIES

V A INTRODUCTION

The experimenta l des i g n of th i s port i on of the i nvesti gati ons u t i l i zes

three pa i rs of stati ons to compare popu l at i ons and product i v i ty i n the

heavy vegetated versus harvesteq areas Thi s des i gn was sel ected to

i denti fy both the di fferences between harvested and vegetated areas as

we l l as responses to grad i ents ( rel ati ng to vegetati on andor water

qual i ty ) that may ex i s t a l ong the approx i mate two mi l e path of the

transect Under und i sturbed cond i ti ons d i sti nct d i fference between

heav i ly vegetated areas and open water mi ght be expected wi th regards to

both pri mary producti on and spec i es compos i ti on Such patterns cou l d be

expected to resu l t from the combi ned i nfl uences of reducted 1 i g h t a nd

i ncreased habi tat for peri phyton i n areas heav i ly vegetated by emergent and

submergent vegetati on

The sel ected sampl i ng strategy for assess i ng

phytopl ankton communi ti es empl oys a two-fol d approach

i nfl uences on

Three sets of

i ni ti a l sampl i ngs were made a t approxi mately one wee k i nterva l s i n

September 1987 ( the 17th 22nd a nd 30th ) i mmedi ately fo l l owi ng harves t i ng

of the transect to assess s hort-term affects These are to be fo l l owed and

compl emented by three seasona l l y based sampl i ng peri ods The seasonal

sampl i ng t imes were se l ected to correl ate wi th the peri ods of l ow

temperatu re and l i ght (January - 13th ) the nonna l Spri ng phytopl ankton

i ncrease (Apri l ) and h i gh l i ght a nd temperature (June ) These three

sampl i ng t imes wi l l prov i de the seasona l ly i mportant po i nts i n the a nnua l

cycl e of producti v i ty

5 - 1

The fol l owi ng observed qual i tat ive di fferences i n vegetati on patterns

between s tati ons and sampl i ng dates shou l d be noted when eva l uati ng

measured quant i tati ve d i fferences

1 ) l arge amounts of part i c u l ate matter ( probab ly resu l ti ng from the harvesti ng wh i ch was occurri ng in immedi ately adj acent areas ) was present i n the water col umn on September 17th and 22nd and to a somewhat l es ser degree on September 30th

2 ) regrowth of the harvested transect was a l ready apparent by September 30th Thi s comb i ned wi th the the norma l w i nter d ie-bac k of vegetati on i n the untreated control area s resu l ted i n l i ttl e apparent d i fference i n aquatic weeds between harves ted and non-harvested areas by January 13th

3 ) when station 7 was acc i dently harvested a second t ime s tat i on 7 5 was added i n a comparabl e l ocati on a l ong the treatment transect wh i ch had only been harvested once

Analysi s of popu l at i on s tructure based on i dent i fi cati on to the genus

( or l ower) l eve l are bei ng conducted i n conjuct i on wi th primary

producti v i ty measurements Di fferences i n phytop l ankton communi t i es

between vegetated and harvested areas were expected due to d i ffering

hab i tat Major changes were a l so ant i c i pated between the seasona l sampl i ng

peri ods as changi ng l i ght temperature and nutrient l evel s mi ght be

expected to affect both the structural re l at i ons h i ps ( d i atomgreenbl ue

green ) as wel l as the producti v i ty of the phytopl ankton popu l at i ons

I n order to quan t i fy t he wi th i n stati on vari abi l i ty of water qual i ty

chem i stry sampl es were col l ected i n tri pl i cate a t each samp l e s i te

V B METHOOS

B 1 Si tu Profi l es of Phys ical Parameters

Depth temperatu re d i s sol ved oxygen conduct i v i ty a nd pH were

measured i n s i tu wi th a Hydro l abtrade

Model 8000 sys tem or Surveyor Model

I I system Profi l es were made from the surface to the bottom i n O Sm

5 - 2

i ncrements at each sampl i ng s tati on l ocat ion Depth measurements were

determi ned on the bas i s of pre-measured marks on the u n i t s cabl e

Pre-sampl i ng i nstrument cal i brati ons were conducted wi th i n 24

hours pri or to use Temperature was measured wi th a l i near res i stance

thermi s tor factory ca l i brated and accurate to wi th i n plusmn0 2degC

Di s sol ved oxygen ( D O ) was measured wi th a temperature-compensated

pas s i ve pol arogra ph i c cel l whi ch meas ures the parti a l pressure of

oxygen as parts per m i l l i on ( ppm or mg l ) of oxygen plusmn0 2 ppm The

probe were cal i brated u s i ng the oxygen ten s i on of water-saturated a i r

( temperature corrected ) a s a standard

The conduct i v i ty probes are s i x e l ectrode cel l s and were

cal i brated aga i nst a KC l sol ut ion of known conducti v i ty Probe

response i s then tested w i th a sol ut ion of known l ow conducti v i ty to

ensure that the read i ng i s plusmn1 0 of the range sel ected The probes

are automati ca l ly temperature compensated to prov i de conducti v i ty at

25 degC

The Hydrol abtrade

pH probes a re g l as s KCl fi l l ed wi th s i l ver s i l ver

chl ori de reference e l ectrodes and refi l l abl e juncti ons They are

automati cal ly temperature compensated Two buffer cal i brat i on

procedures elllp l oyed s tandard commerc i al buffer sol ut i ons of 7 0 and

10 0 pH un i ts to wi thi n plusmn 0 1 the cal i l brati on accuracy of the probe

Ox i dati on-reducti on potenti al (ORP ) was measured u s i ng a

pl ati num-ti pped g l ass ORP probe and standard pHORP s i l ver s i l ver

chl ori de reference probe Convers i on of these ORP val ues to those of

a standard hydrogen el ectrode can be approx i mated by add i ng 200 mV to

the resu l ts from the s i l ve r s i l ver chl ori de e l ectrode

5 -3

B 2 Light Profi l es

L i ght i ntens i ty profi l es were conducted at each s tati on u s i ng a

LI -COR ( Model L I - 185B ) quantumrad i ometer photometer equ i pped wi th a n

underwater L I - 1925B quantum sensor to measure photosynthet ica l l y

act i ve rad i at ion L i ght i ntens i ti es (m icroei nstei nsm2

sec ) were

measured i n the a i r j u s t above the water surface aga i n just bel ow the

surface and at s i x sel ected depths ( 20 40 50 60 80 and 100 cm )

B 3 Primary Producti v i ty Incubati ons

F ive subsurface water samp l es were col l ected i n the area of each

stat i on l ocat i on These were randomly col l ected to account for

phytopl ankton patc h i ness The subsurface sampl es were pl aced i n f ive

repl i cate l i ght ll and two ( bl ac k pl ast i c d i pped ) II darkll ac i d-ri nsed

450 ml g l ass i ncuba t i on bottl es Each bott l e was then i nnocu l ated

wi th 10 mi crocuri es of trace meta l -free 14C ( to obta i n counts of

approx i matel y ten thousand counts per mi nute or CPM depend i ng on

phytop l an kton l evel s ) and then qu i ck ly repl aced to be i ncuba ted i n

s i tu at a depth of 0 2 meters for two hours ( see Fi gure 5 1 ) Al l

i ncuba t i on s were conducted wi th i n two hou rs of apparent noon to

standard i ze for known patterns of d i urnal peri odi c i ty i n phytopl ankton

product ion Cumu l at i ve l i ght l evel s duri ng the i ncuba t i on peri ods

were recorded us i ng a LI -COR i ntegrati ng quantum photometer After

i ncubati on al l s ampl es were pl aced i n the dark i n cool i ce ches ts and

qu i c k ly returned to a n on-s i te l aboratory fac i l i ty and prepared for

sci nt i l l a ti on count i ng

5 -4

FIGURE 5 1

u

If srru IfCUBATION RACKS

8 4 Pri mary Product i v i ty - 14C uptake

The fol l owi ng procedures were underta ken to determi ne the overa l l

rates of 14C f i xa t i on as wel l as those proport i ons attri butabl e to

the pi co- ( 1 ess than 5 mi cron ) nanno- ( 1 ess than 20 mi cron ) and

net-pl ankton ( g reater than 20 mi cron ) as wel l as the rel ati ons h i ps

between 14C uptake b i omass estimates and l i ght quanta Three

separate subsampl es were taken from each of the l i ght samp l e bott l e s

and processed as fol l ows

1 ) 50 ml i s fi l tered through a 2 4 cm Whatman GFC g l ass fi ber fi l ter us i ng l ow vacuum ( l ess than 2 PSI ) The wet fi ber fi l ter i s then pl aced i n a sc i nt i l l ati on v i a l and frozen unti l ready for ana lys i s To beg i n analys i s 0 5 ml of 0 1 NHC l i s added to each v i a l and a l l owed

5 -5

to stand for 3 hours before the add i t i on of 10 0 ml of s c i nti l l at i on fl uor 2 ) A second su bsampl e i s prepared i n the same manner as the fi rs t except pri or to fi l teri ng the 50 ml subsampl e i s passed throug h a 20 mi cron N i tex screen 3 ) The th i rd subsamp l e i s prepared i n a l i kewi se manner but passed throug h a 5 m i cron N i tex screen pri or to fi l teri ng Dark bottl es are fi l tered on ly as i n the fi rst exampl e Three corres pondi ng fl l ter bl anks for each s tati on are prepared by addi ng ten mi c rocur ies to a 450 ml i ce stored water sampl e ta ken at the same stat ion and then i mmedi atel y tak i ng three 50 ml subsampl es These are fi l tered as i n ( 1 ) above 4 ) After the add i t ion of the sc i nt i l l at i on fl uor the v i al s are a l lowed to dark adapt for at l east 24 hours before bei ng counted 5 ) Pri or to runni ng each set of sampl es background and known 1 4C standards are ru n to check and val i date the performance of the l aboratory s Pac4rd l i qu i d sc i nt i l l at ion system Veri fi cati on of the acti vi ty of the C i nnocu l a t i on sol ution is a l so made 6 ) Each sampl e i s cou nted for 30 mi nutes or unti l the CPM i n spectral reg i on A have a standard dev i at i on of l ess than 0 2 Counts per m i nute are then converted to d i s i ntegrati ons per mi nute us i ng the fi l ter s tandardi zat i on channel s rat io method

8 5 Ch l orophyl l a

Chlorophy l l a measurements have been wi dely used to est imate

phytopl a nkton b iomass For the purpose of these i nvesti gati ons

chl orophyl l l evel s of the 1 ) greater than 20 micron 2 ) l ess tha n

20 mi c ron and 3 ) l ess than S micron s i ze fracti ons were determi ned

on sampl es col l ected s imu l taneou s l y wi th those for pri mary

producti v i ty i ncubat ions Th i s procedure prov i ded comparabl e

estimates of both the b i omass and producti v i ty rates of each of the

three s i ze fract i on s

8 6 Wa ter Chem i stry

Surface water sampl es were co l l ected for analys i s at each of the

phytop l ankton primary product i v i ty stati ons Water i s col l ected i n

pre-l abel ed one l i ter po lyethyl ene conta i ners Chl orophyl l samp l es

5 -6

conta i ne rs were fi rst ri nsed and then qu i ck ly resubmerged bel ow the

s urface w i th the mouth fac i ng upcurrent Bacteri a sampl es were

col l ected i n pre-autocl aved 250 ml polyethyl ene contai ne rs a s above

except that samp l e conta i ne rs were not pre-r i nsed Al l sampl es were

stored on i ce and i n the dark and returned to the l aboratory fol l ow i ng

s tandard c ha i n of custody and qual i ty assurance procedures

Chl orophyl l was determi ned both uncorrected and corrected for

pheophyt i n u s i ng a Turner fl orometer Total col i form bacteri a were

determi ned u si ng the fi l ter membrane method ( APHA 909 b c ) Resul ts

were reported as l es s than a g i ven val ue based on d i l ut i ons when

actual f i l ter counts were zero

B 7 Popu l a t i on Structure

Sampl e s for determi nat i on of phytopl ankton communi ty structure were

col l ected i n conj uncti on wi th those taken for primary producti v i ty

measurements One l i te r polyethyl ene sampl e contai ners were

i mmedi atel y fi xed w i th 4 1111 of Lugol s sol ut ion Lugol s genera l ly

be i ng prefe rabl e for the p reservati on of sampl es wh i c h may i nc l ude

fl agel l ates The sampl es were p l aced on i ce i n the dark for

transportati on back to the l aboratory where they are he l d at 4degC

unti l prepared for counti n g I n i ti al l y a thorough i nventory and

taxonomi c analys i s of pos s i b l e taxa whi ch mi ght be expected to be

present was compl eted (Append i x C ) When a thoroug h taxonom i c basi s

has been assembl ed sampl es were prepared for observati on us i ng a

Ze i ss i nverted mi c roscope and a comb i nati on of s tandard centri fugation

a nd settl i ng procedures as fol l ows

5 -7

1 Sampl es are removed from the refri gera tor and gently shaken to assure resuspens i on of a l l materi al 2 Randomly sel ected subsampl es tota l i ng 50-100 ml ( dependi ng on the concentrat ion of the materi a l i n the sampl es ) are wi thdrawn and pl aced i n a 50 ml con i ca l g l as s centri fuge tubes 3 The tubes a re spun at a pprox imatel y 50 x g for 45 mi nutes Three to four drops of i od i ne so l uti on i s added at the top of the tubes whi ch w i l l then be a l l owed to s tand for at l east 24 hrs 4 ) At the end of the fi rs t settl i ng peri od the sett l ed materi a l i n the bottom 2 5 ml and a ny cel l s adheri ng to the surface ten s i on of each centri fuge tube i s drawn off a nd p l aced i n a 10 ml Ze i ss i nverted mi croscope settl i ng chamber 5 Two drops o f i od i ne sol u t i on wi l l be added to promote settl i ng and the compos i te sampl es i s aga i n be a l l owed to stand und i s turbed for another 24 hrs 6 Taxonomi c determi nati ons to the l owest pract ica l taxonom i c l evel were conducted from random fi el ds u s i ng a Zei ss i nverted mi croscope and a mod i fi ed s tri p method to ensure that counts i ncl uded representati ve areas of the counti ng chamber To determi ne commun i ty s tructu re at l east 500 cel l s are i denti f ied primari ly u s i ng 500x and 1000x objecti ves a nd 16x wi de fi el d ocul ars 7 After hav i ng recorded the taxonomi c determi nati ons of 500 cel l s add i t i ona l notes on each sampl e are comp i l ed us i ng a combi nati on of l ow and h i gh power objecti ves 8 Determi nati on of the number of cel l s per un i t vol ume wa s conducted for the same samp l es by enumerati ng cel l dens i t i es of randomly sel ected fiel ds aga i n u s i ng a mod i fi ed s tri p method and mak i ng appropri a te d i l uti on cal cul ati ons

v c INTERIM RESULTS

A more thorough a nd comprehens i ve summary of the resu l ts of the

phytopl an kton stud i es i nc l u d i ng seasonal and between stati on compari sons

of carbon uptake rates wi l l be i nc l uded i n the fi nal report Such a fi nal

surnna ry ana lys i s wi l l a l s o i nc l ude a detenlli nati on of the i nteract i ons

between phys i cal factors ( such as l i ght temperature ) a nd ambient nutri ent

concentrati ons on observed seasonal l eve l s primary producti on and commun i ty

s tructure The fol l owi ng s ummari zes the resu l ts to date

C 1 Phys i cal Parameters - The resu l ts of the i n s i tu Hydrol ab and l i gh t

5 -8

cast profi l es by date and stat i on are conta i ned i n Append i x A The

reported resu l ts for the l i ght profi l e analyses i nc l ude

1 ) regress i on of the l og of observed l i ght l evel s vs depth a l ong wi th the resu l tant coeff i c i ents for the l i ne and R squared val ues

2 ) based on the ca lcu l ated regress i on l i ne expected vs observed va l ues are pl otted (The i nfl uences of aqua t i c weeds i n reduc i ng l i ght l evel s can c l early be seen by compari ng such p lots for control a nd havested s tati ons )

3 ) an ext i nct ion coeffi c i ent based on the regress i on l i ne i s cal cul ated a s i s a pred i cted one percent l i ght depth ( m)

4 ) pred i cted l i ght and percent of surface i rrad i at i on l evel s as se l ected representati ve depths are determi ned

An effect i ve method of eva l uati ng the l i ght penetrati on

characteri st i cs i s to compare the computed depth where only 1 of

surface l i ght rema i ns ( th i s va l ue i s often assumed to be the

approx i mate compensati on depth where phytopl a nkton photosynthes i s =

phytopl ankton respi rat i on )

One Percent L ight Depth (m)

Stati on Sept 17 Sept 22 Sept 30 Ja n 13

7 1 84 1 2 1 1 23 1 57

8 2 33 2 36 1 90 1 37

9 2 65 2 6 1 2 09 1 46

10 0 42 0 42 0 76 1 70

11 0 36 0 39 0 36 1 6 1

12 0 44 0 36 0 57 1 67

7 5 1 59

These resu l ts c l early show that duri ng each of the three sampl i ng

dates i n September water c l ari ty a l ong the ha rvested transect

5 -9

i ncreased waterward from s tati on 7 to 9 At the same time l i ght

l evel s of the profi l es taken at the weed covered control s tati ons

( 10 1 1 12 ) decl i ned rap i d ly Tabl e 5 1 s tati s ti ca l ly compares the one

percent l i ght depth between the harvested ( E ) for experimental and

the control ( C ) stati ons grouped by date On each of the three

September dates the mean depth of the one percent l i ght l evel was

s i gn i fi cantly g reater for the harvested transect I n January 1988

weed cover a t a l l stations was apprOX i mately the same and nei ther of

the two above patterns were observed wi th the depth of the one

percent l i ght l evel bei ng s l i ghtly but stat i sti ca l ly l ess a l ong the

harvested transec t

The fol l owi ng tab l e s umma ri zes observed top and bottom d i s sol ved

oxygen l evel s by sta t i on and date Du ri ng each of the September

sampl i ngs bottom d i s sol ved oxygen l evel s at the control stations were

much l ower than a l ong the harvested transect Top and bottom

d i ssol ved oxygen l evel s i n January show the i nfl uences of cool er water

temperatures and emphas i z e the even d i s tri but ion of aquat ic weeds over

the study area

5 - 1 0

Di ssol ved Oxygen Level s ppm ( topbottom)

Stati on Sept 1 7 Sept 22 Sept 30 Jan 1 3

7 8 0 6 7 5 2 9 1 3 9 4 2 2 7 7 2

8 6 4 5 5 5 6 9 8 3 9 4 8 5 5 7 3

9 7 6 6 4 5 5 9 5 6 4 6 0 5 4 7 8

10 8 1 6 5 6 0 8 8 0 2 1 9 0 1 7 4

1 1 1 1 0 4 9 9 0 8 8 1 6 2 0 5 3 7 4

12 6 9 6 2 7 9 8 6 1 7 2 5 2 2 8 5

7 5 9 2 6 9

These resul ts are stat i st i ca l l y summari zed i n Tabl e 5 2 Aga i n E middotI

val ues represent means for the harvested stati ons and C a re for the

correspond i ng control s

C 2 B i omass - Chl orophyl l resul ts of the 1 ) whol e sampl e ( A ) 2 ) l ess

than 20 mi crons i n s i ze ( B ) and 3 ) l ess than 5 mi crons ( C ) for the

tri pl i cate sampl es taken on each date at each stat i on are presented i n

Append i x B Val ues are reported both as uncorrected and corrected for

phaeophyti n However i t shou l d be noted that correcti ng for

phaeophyti n may be i naccurated us i ng the fl uorometri c method when

s i 9n1 fi cant numbers of green a l gae are present due to 1 nterference

wi th chl orophyl l pound Mean val ues for the whol e s i ze fra c t i ons

( uncorrected ) are s ummari zed in the fol l owi ng tab l e

5 -1 1

Chl orophyl l a (mgm3 )

Stat ion S ept 1 7 Sept 22 S ept 30 Jan 13

7 5 5 22 4 29 90 9 73

8 46 5 34 0 34 95 10 98

9 66 7 45 7 53 45 10 36

10 1 2 8 107 6 65 25 8 63

1 1 68 0 128 4 64 09 4 48

12 17 8 1 1 1 2 98 76 5 14

7 5 9 82

The o n l y defi n i ti ve pattern appears to be seasonal Stati sti ca l

compari sons between the experimental ( harves ted ) and control s tati ons

by date are presented i n Tabl e 5 3

C 3 Taxonomi c Ident i fi cati on - The work i ng l i s t wh i ch formed the bas i s

o f the taxonomi c determi nati ons i s presented i n Tabl e 5 4 The

resu l ts of the taxonomi c determi nati ons of phytopl ankton conmnun i ty

structure are conta ined i n Appendi x C The number o f cel l s i dent if i ed

are l i s ted by taxonomi c groups Co l on i al forms were counted as fi ve

or ten i nd i v i dua l s depend i ng on the s i ze of the col ony The rel at i ve

d i stri but i ons of the four major taxonomi c groups ( Green Al gae

Di atoms D i nofl agel l ates and Bl ue-Greens ) by date and sta t i on are

summari zed i n F i gure 5 2 The patterns are c l earl y evi dent

1 ) Bl ue-Green a l gae were domi nant at a l l stati ons duri ng each o f the three sampl i ng dates i n September

2 ) Th i s domi nance o f Bl ue-Green a l gae over the other major taxonomi c

5 - 1 2

groups showed a ma rked dec l i ne duri ng the January samp l i ng peri od 3 ) Wi th in samp l i ng dates there were no apparent systemat ic

d i fferences between the harvested and control stat i ons when they were summari zed on the bas i s of the compos i t i on of thei r major taxonomi c c l as s i fi cat i ons

C 4 Analys i s o f Communi ty Structure - Di vers i ty and s im i l ari ty

i nd i ces ( see Tab l e 5 5 for equa ti ons ) have been wi del y ut i l i zed i n

ana lyz i ng communi t i es structure Such i nd ices a l l ow l a rge amounts of

informati on rel evant to the ri chness and equ i tabi l i ty of s pecies

wi th i n a communi ty to be organi zed and reduced i nto a s i ng l e

quanti tat i ve expres s i o n Two properties s hou l d cha racteri z e a

d i vers i ty i nd i ce i n order to accompl i s h thi s accuratel y 1 ) the i ndex

shou l d atta i n i ts max imum val ue when al l s pec i es are equal l y

d i stri buted and 2 ) i f al l spec i es wi th i n two samp l es are equa l ly

di stri buted the va l ue of the i ndex shou l d be greater for the

popul ation wi th the l arger number of s pec i es A second va l ue termed

lIevennes s can be ca l cu l ated for a number of the most commonl y

app l i ed d i vers i ty i ndi ces Evenness i s the- rat i o of observed

di vers i ty to the max i mum di vers i ty for a sampl e of a gi ven s i ze and

number of taxa and as such i s often useful i n determi ni ng the

re l ati ve deg ree of domi nance between a group of samp l es The

Shannon-Wi ener i ndex ( P i el ou base e ) was proposed as a method of

determi ni ng the rel ati ve amou nt of i nformati on wi th i n a popul ati on as

an express i on of the uncerta i nty of pred i ct ing the i dent i ty of any

gi ven i nd i v i dua l sel ected at random On a theoret i ca l l evel th i s may

be v i ewed as oppos i te from the bas i s of the S i mpson i ndex wh ich can

be vi ewed as the probab i l i ty that any two i nd i v i dual s sel ected at

random from wi th i n a samp l e bel ong to the same taxon When compa red

5 - 1 3

to the Shannon i ndex S impson tends to accentuate the presence of

common taxa over rare and thus i s often usefu l as a rel at i ve measure

of domi nance w i th i n a cOlTlfluni ty The Mc I ntosh i nd i ces ut i l i ze a

un iquely d i fferent means of measuri ng d i vers i ty and evenness by

eva l uati ng commun i ty s tructure by coord i nate d i sta nces Conceptua l l y

they measure u n i formi ty wi th i n an S -d i me ns i onal hyperspace

Unfortunatel y no s i ng l e or even group of i nd i ces have atta i ned any

degree of un i versa l acceptance Therefore i t i s often d i fficul t or

impos s i bl e to correl ate d i rect ly stud ies of s im i l ar communi t ies

because of re l i a nce u pon d i fferent i nd i ces The i nd i ces reported here

were chosen both because of the varyi ng degree of emphas i s each pl aces

upon d i fferent a s pects of communi ty structu re and because of the i r

rel at i ve l y frequent usage

The b i o l og i ca l va l i d i ty

cri ti c i zed if a ttempts

of d i vers i ty

are made to

i nd i ces

extend

can readi ly be

the mathemat ica l

characteri st i c s a nd l aws of i nformati on theory conta i ned wi th i n such

i nd i ces to commu n i ty s tructure However if these mathematical

express i ons are v i ewed mere ly as conven i ent methods for condens i ng

compl ex data i nto s i mp l e descri ptive stati sti cs we i g ht i ng both the

number and d i s tri but i on of i nd i vi dua l s among taxa then the i r

appl i cat ion becomes i mportant

Append i x 0 conta i ns the resu l ts of the mathemat i ca l reduction of each

stati on by sampl i ng date The fol l owi ng summari zes the d i versi ty

( P iel ou base e ) and the numbser of observed taxa by date and stati on

5 -14

Sampl e Di vers i tyNumber of Taxa

Stati on Sept 17 Sept 22 Sept 30 Jan 13

7 2 46 2 88 2 45 2 98 33 36 32 42

8 2 52 2 84 2 28 3 38 37 38 30 48

9 2 39 2 05 2 33 2 08 32 24 29 30

10 2 42 2 44 2 75 3 22 36 26 35 44

1 1 2 48 2 38 2 39 2 93 32 27 28 38

12 2 44 2 69 2 22 2 60 34 33 25 34

7 5 2 88 4 1

Both the d i vers i ty and number of taxa at stati ons 7 8 10 and 1 1

i ncreased i n January rhe l ack of a s i mi l ar re sponse at stati ons 9

and 12 i n Janua ry may have been cau sed by the heavi er aquati c

vegetati on whi ch was present A stati stical compari son of the

di vers i ty of taxa be tween harves ted and url harves ted areas by date i s

presented i n Tabl e 5 6 The resul ts i ndi cated no si gnifi cant

d i fferences

C 4 Communi ty Simi l a ri ty - Fi gu re 5 7 contai ns for each sampl i ng date

an ordered matr i x of the s imi l ari ty i nd i ce C l ambda lh i s i ndex

a l so know as the Mori s i ta-Ono i ndex i s w i de ly used as a measurement

of s imi l ari ty wei ghti ng both the presence of spec i es and the rel ati ve

5 -1 5

abundance d i stri but i on of each spec i es between sampl es Th i s

s imi l ari ty i ndex i s conceptua l l y unamb i guous i n that anal ogous to a

probab i l i ty or corre l at i on coeffi c i ent i ts va l ues vary from 0 0 to

1 0 Zero representi ng tota l d i ss i mi l ari ty a nd one perfect i denti ty

Val ues from 0 0 to 0 4 are general l y ta ken to denote sampl es from

hi gh ly d i fferent commun i t i es wh i l e val ues from 0 4 to 0 6 resu l t from

compari ng the d i s tri buti on s of taxa from col l ecti ons of i ntennedi ate

l i kenes s and val u es of 0 6 to 1 0 characteri ze samp l es taken from

i ncreas i ng ly s i mi l ar or i dent i ca l communi ti es Unordered matri ces of

such a s i mi l ari ty measurement though useful may often be confus i ng

I n devel opi ng these tabl es the unordered matri ces were rearranged by

the fol l owi ng cri teri a The s i te wi th the l owes t affi n i ty ( val ues ) to

a l l the other s i tes was p l aced at the top of the Y ax i s Bel ow th i s

was pos i ti oned the s i te wi th the h i ghest affi n i ty to the fi rs t s i te

Ranked i n the th i rd pos i ti on was the s i te wi th the greatest s imi l ari ty

to the second s i te not a l ready l i sted Th i s procedure was fol l owed

unti l al l s i tes had been l i s ted i n a comparati ve ord i nat i on a l ong the

Y ax i s Each matri x was then compl eted by reversi ng the ranked order

of the s i tes a l ong the X axi s By th i s method each tabl e was

constructed i n such a ma nner that the affi ni ty val ues genera l l y

i ncrease both from top to bottom and from l eft t o ri ght Thi s resu l ts

i n the c l usteri ng of areas of h i g h s i mi l ari ty separated by areas of

l ow affi n i ty a l ong the d i agona l marg i n

rh i s ana l ys i s of p hytop l a nkton communi ty s tructure shows no c l ear

d i sti ncti ons between harves ted and unharvested stati ons I n genera l

the s i mi l ari ty among stati ons was hi gh on the September 30th samp l i ng

5 -16

date and much l ower on January 13th The other two sampl i ng dates

show i ntermedi ate l eve l s of affi n i ty between stati ons

C s Summary of Stati sti cal Analys i s - The fol l owi ng summari zes the

resu l ts of the procedi ng stati st i ca l analys i s for vari ous physi cal and

b i ol og i ca l parameters

DO Top Bot

1 Depth

Chl a

Di v

I

Stati sti ca l Compari son of Means for Control vs Harvested Transects

Sept 17 Sept 22 Sept 30 Jan 13

T -test Wi l coxon T -tes t Wi l coxon T-test Wi l coxon T- tes t Wi l coxon

NS NS NS NS 067 05 02 046 02 04 0 1 05 NS NS NS NS

001 049 01B 05 014 05 03B 0 5

N S N S 0007 05 0 5 05 033 05

NS NS NS NS NS NS NS NS

Di ssol ved oxygen l evel s were s i gn i fi cantly h i g her on the bottom

a l ong the harvested transect on the 17th and 22nd of September

Th i s was a s hort term effect cau sed by the harvest i ng of aquati c

vegetation a l ong the transect

2 Su rface di ssol ved oxygen was l ower a l ong the experimenta l transect

on September 30th ( due to product ion by the vegetat i on al ong the

control ) and hi gher i n January

3 ) The one percent l i ght depth was greater a l ong the harvested

transect except i n January Th i s ta ken wi th the January pattern

5 -17

i n d i sso l ved oxygen g i ve s some i nd i cati on that i n January there

was more aquat i c vegetat i on a l ong the harvested than the contro l

4 ) Chl orophyl l a was probably heav i ly i nfl uenced by smal l part i cu l ate

mater ia l i n the water caused by harvest i ng and peri phyton on

submerged vegetat i on Wi th i n s i te variabi l i ty was sma l l when

compared wi th the vari ati ons between s tati ons

V D FINAL REPORT-ANALYSES

The f i na l report wi l l i ncorporate the fi na l two sampl i ng dates i nto

the above vari ous types of ana l ys i s I n add i t i on

1 ) Rates o f pr imary production for a l l s ampl i ng dates wi l l be reported and compared

2 ) Rates of primary product i on wi l l be ana lyzed to determi ne the rel at ive i nfl uences of water qual i ty and physi cal parameters

3 ) Cl uster anal ys i s w i l l be ut i l i zed to further i nvest i gate patterns of taxonomi c assoc i at i ons

I t shou l d be noted however that g i ven the patterns of the f i rs t four

sampl i ng dates and the apparent regrowth of aquat ic vegetati on al ong the

harvested transect the on l y further d i fferences i n the phytopl an kton

port i on of the study s hou l d be s easonal No add i ti onal d i fferences between

the harvested and unharvested transects are expected

5 - 18

FIGURE 5 1

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 5 22666667 0 084083333

E C

3 2 2 7333333 3 0 40666667 F Value

62 16 1 Prob gt F

0 0014

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Con t i nui ty Correction of 5 )

S- 15 0000 z- 1 74574

T-Test approx Signi ficance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vall i s Tes t (Chi -Square Approximation) CBISO- 3 8571 DF- 1 Prob gt CBISOa 0 0495

Mean Score

5 0 2 0

rIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BENEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 4 18335000 0 279200000

E C

3 2 06000000 3 0 39000000 F Value

14 983 Prob gt F

0 0 180

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Test (Normal Approximation) (wi th Continui ty Correct ion of 5 )

S- 15 0000 z- 1 74574

T-Tes t approx Signi ficance -

Prob ) I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Ch i - Square Approximat ion ) CBISQ 3 857 1 DF- 1 Prob gt CBISQ= 0 0495

Hean Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analys is of Variance

N Hean Among HS Vi thin HS 2 0768 1667 0 1 22066667

E C

3 1 bull 74000000 3 0 56333333 F Value

1 7 014 Prob gt F

0 0 146

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 128785 6 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continui ty Correction of 5 )

S - 1 5 0000 z- 1 74574

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Chi - Square Approximat ion) CHISOz 3 857 1 OF- 1 Prob gt CHI SO- 0 0495

He an Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BEMEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

N Mean Among HS Vi thin HS

E C

0 056066667 0 006066667 3 1 46666667 3 1 bull 66000000 F Value

9 242

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Expected Std Dev Scores Under HO Under HO

6 0 10 5000000 2 29128785 15 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Test (Normal Approximat ion ) ( wi th Continui ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

Prob gt F 0 0384

Hean Score

2 0 5 0

T-Test approx Signi ficance bull

Prob gt I z l middot 0 0809

0 1413

Kruskal-Vallis Test (Chi -Square Approximat ion ) CHISO 3 857 1 DF 1 Prob gt CBISO- 0 0495

FIGURE 5 2

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SBPTBKBBR 1987

Analysi s of Variance

SURFACE

N Mean Among HS Vi thin HS 2 66666667 2 56833333

E 3 7 33333333 C 3 8 66666667 F Value Prob gt F

1 038 0 3658

BOTTOH

N Mean Among HS Vi thin HS 1 9 08 16667 1 39333333

B 3 4 73333333 C 3 1 16666667 P Value Prob gt P

1 3 695 0 0208 Average Scores were used for Ties

FIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Vilcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

Hean Score

E 3 8 0 1 0 5000000 2 29128785 2 66666667 C 3 1 3 0 1 0 5000000 2 29128785 4 33333333

E C

Vilcoxon 2 -Sample Tes t (Normal Approximat ion ) (wi th Con t inu i ty Correct ion o f 5 )

S- 8 00000 z- - 872872

T-Tes t approx S igni ficance -

Prob ) I Z I - 0 3827

0 4227

Rruskal-Vallis Tes t (Chi-Square Approxima tion ) CBISO- 1 1 905 DF- 1 Prob ) CBISOz 0 2752

BonOH

SUII of Expected Std Dev N Scores Under BO Under BO

3 15 0 10 5000000 2 2583 1 796 3 6 0 10 5000000 2 2583 1 796

Average Scores were used for Ties

Vi lcoxon 2 - Sample Tes t (Normal Approximation ) (wi th Con t inui ty Correct ion o f 5 )

So 15 0000 Z- 1 77123

T-Tes t approx Signifi cance -

Prob ) I Z I - 0 0765

0 1 367

Kruskal-Vallis Tes t (Chi - Square Approximation) CBISO= 3 9706 DP- 1 Prob ) CBISO= 0 0463

He an Score

5 0 2 0

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVBEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Mean Among KS Vl tbln KS 0 1 66666667 0 556666667

E 3 6 20000000 C 3 5 86666667 F Value Prob gt F

0 299 0 6 1 34

BOTTOK

N Kean Among KS Vl tbln KS 1 5 3600000 0 755000000

E 3 5 00000000 C 3 1 80000000 F Value Prob gt F

20 344 0 0107

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

E 3 1 2 0 1 0 5000000 2 2 9 1 28785 C 3 9 0 10 5000000 2 29 1 28785

Vi lcoxon 2- Sample Tes t (Normal Approximation ) (vi th Continui ty Correction o f 5)

S- 1 2 0000 z- 0 436436

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 6625

0 6807

Kruskal -Vallis Tes t (Chi -Square Approximation) CHISO- 0 42857 OF- 1 Prob gt CBISa- 0 5 127

E C

N

3 3

Sum of Scores

BOTTOH

Expec ted Under BO

S td Dev Under BO

15 0 10 5000000 2 29128785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (vi th Cont inui ty Correc t ion of 5 )

S- 1 5 0000 Z- 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t ( Chi-Square Approxima tion ) CHI SO- 3 857 1 OF- 1 Prob gt CBISO= 0 0495

Mean Score

4 0 3 0

Hean Score

5 0 2 0

PIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 7 26000000 1 17333333

E 3 5 43333333 C 3 7 63333333 F Value Prob gt F

6 187 0 0677

BOTTOM

N Mean Among MS Vi thin KS 6 00000000 4 68333333

E 3 4 53333333 C 3 2 53333333 F Value Prob gt F

1 281 0 3209

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

llilcoxon Scores (Rank Sums )

SURFACE

Sum o f Bxpected Std Dev N Scores Under BO Under BO

E 3 6 0 1 0 5000000 2 29 1 28 785 C 3 1 5 0 1 0 5000000 2 29 128785

ll i lcoxon 2-Sample Tes t ( Normal Approximat ion ) (wi th Cont inuity Correct i on of 5 )

S - 6 00000 zmiddot - 1 74574

T-Test approx Significance bull

Prob gt I Z I middot 0 0809

0 14 13

Kruskal-llallis Tes t (Chi-Square Approximat ion) CBISO- 3 857 1 DF- 1 Prob gt CHISO= 0 0495

N

BOTlOM

Sum o f Expec ted Scores bull Under BO

Std Dev Under BO

Mean Score

2 0 5 0

Mean Score

B C

3 3

14 0 10 5000000 2 29128785 4 66666667 7 0 10 5000000 2 29128785 2 33333333

llilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continuity Correct i on of 5 )

S- 1 4 0000 Zmiddot 1 3093 1

T-Tes t approx Significance bull

Prob gt I Z I - 0 1 904

0 2474

Kruskal-llallis Tes t ( Chi-Square Approximat ion) CBISO= 2 3333 DF= 1 Prob gt CHISO= 0 1 266

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

E C

E C

Analys is of Variance

SURFACE

N Hean Among HS Vi thin HS 0 806666667 0 068333333

3 9 46666667 3 8 73333333 F Value

N

3 3

1 1 805 Average Scores were used for Ties

BOTlOH

Hean Among HS 0 166666667

7 43333333 7 76666667 F Value

0 658 Average Scores were used for Ties

Prob gt F 0 0264

Vi thin HS 0 253333333

Prob gt F 0 4628

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIHENTAL SITES ON 1 3 JANUARY 1 988

N

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Hean Score

E 3 15 0 10 5000000 2 258 3 1 796 5 0 2 0 C 3 6 0 10 5000000 2 258 3 1 796

E C

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approximation ) ( wi th Continui ty Correction o f 5 )

Smiddot 1 5 0000 zmiddot 1 77 1 23

T-Tes t approx Signi fi cance -

Prob gt I Z I middot 0 0765

0 1367

Kruskal -Vallis Tes t (Chi -Square Approximation) CBISO- 3 9706 DF- 1 Prob gt CBISO= 0 0463

N

BOTrOH

Sum of Scores

Expected Under BO

Std Dev Under BO

Hean Score

3 3

8 0 10 5000000 2 2583 1 796 2 66666667 1 3 0 10 5000000 2 2583 1 796 4 33333333

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approxima t ion ) ( wi th Continui ty Correct ion o f 5 )

S- 8 00000 Z- - 8856 15

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 3758

0 4 164

Kruskal -Vallis Tes t (Chi-Square Approximation ) CBISO- 1 2255 DF= 1 Prob gt CBISO= 0 2683

fiGURE 5 3

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Ii C

E C

N

3 3

N

3 3

Analysis of Variance

SURFACE

Mean Among MS 67 5808907

39 5866667 32 8744444 F Value

0 07 1

Vilcoxon Scores (Rank Sums )

Sum o f Scores

Expec ted Under BO

S td Dev Under BO

Vi thin MS 952 908207

Prob gt F 0 8032

Mean Score

1 0 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 1 0 5000000 2 29 1 28785 3 66666667

Vilcoxon 2 -Sampie Tes t (Normal Approximation ) (wi th Con tinu i ty Correc t i on o f 5 )

Smiddot 1 0 0000 zmiddot o

T-Test approx Signi f i cance bull

Prob gt I Z I middot 0 9999

0 9999

Kruskal-Vallis Tes t ( Chi-Square Approximation ) CBISO- 0 04762 DF- 1 Prob gt CBISO- 0 8273

FIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEBN THE CONTROL AND BXPERIMENTAL SITES ON 22 SEPTBMBER 1 987

Analysi s of Variance

SURFACE

N Mean Among MS Vi thin MS 10416 6667 1 13 777778

B C

3 33 666667 3 1 1 7 000000 F Value

9 1 553 Prob gt F

0 0007

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Bxpected Under 00

Std Dev Under 00

6 0 10 5000000 2 29128785 1 5 0 10 5000000 2 29 128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inu i ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I 0 0809

0 1413

Kruskal-Vallis Tes t (Chi-Square Approximat ion ) COlSQ- 3 8571 DF- 1 Prob gt CHlSQ= 0 0495

Mean Score

2 0 5 0

FIGURE 5 3 ( cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Hean Among HS Vi thin HS 2009 2 1 800 270 667459

E 3 39 4322222 C 3 76 03 1 1 1 1 1 F Value Prob gt F

E C

N

3 3

7 423

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

6 0 10 5000000 2 29 1 28785 15 0 10 5000000 2 29 1 28785

Vilcoxon 2 -Sample Test (Normal Approximat ion) (wi th Con t inui ty Correc tion of 5 )

S- 6 00000 z- - 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vallis Tes t (Chi -Square Approxima t ion)

0 0527

Mean Score

2 0 5 0

CBISO- 3 857 1 OF- 1 Prob gt COISO- 0 0495

PIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LBVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

SURFACE

N Mean Among HS ii thin HS 27 4205630 2 68287963

E C

3 1 0 3588889 3 6 0833333 F Value

10 22 1 Prob gt F

0 0330

E C

N

3 3

ii lcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

ii lcoxon 2 -Sample Tes t (Normal Approximat ion) (vi th Cont i nui ty Correc tion of 5)

S- 1 5 0000 zmiddot 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I - 0 0809

0 1413

Iruskal-iallis Tes t (Chi -Square Approximation) CBISOa 3 857 1 DFa 1 Prob gt CHrSO- 0 0495

Hean Score

5 0 2 0

TABLE 54 VORKING LIST

LAKE OKEECHOBEE PHYTOPLANKTON

Chlorophyta (Green Algae )

I II

001 0 1 001 02 002 0 1 003 0 1 003 02 004 0 1 005 0 1 005 02 006 0 1 007 0 1 008 0 1 009 0 1 0 1 0 0 1 0 1 1 0 1 0 1 2 0 1 0 1 2 02 012 03 012 04 0 1 2 05 012 06 0 1 3 0 1 0 1 3 02 014 0 1 0 1 4 02 015 0 1 0 1 5 02 016 0 1 0 1 6 02 017 0 1 0 1 8 0 1 0 1 9 0 1 020 0 1 02 1 0 1 022 0 1 023 0 1 024 0 1 024 02 024 03 025 01 025 02 026 0 1 027 0 1 028 0 1 029 0 1 030 0 1

Ankis trodesmus falcatus Ankis trodesmus spiralis Ar throdesmus sp As terococcus spinulosus As terococcus sp Carteria cordi formis Chlamydomonas polypyrenoideum Chlamydomonas sp Chlorella sp Chlorococcum s p Chlorogonium sp Chodatella (Lagerhemia) subsalsa Clos teridium lunula Clos teriopsis longissima Clos terium curvaceum Closterium graci le Clos terium kutzingi i f sigmoides Clos terium setaceum Clos terium venus Clos terium s p Coelastrum cambricum Coelastrum microporum Cosmarium circulare Cosmarium s p Crucigenia apiculata Crucigenia quadrata Dictyosphaerium ehrenbergianum Dictyosphaerium pulchellum Elakatothrix gelat inosa Euas trum s p Eudorina elegans Geminella interrupta Golenkinia radiata Gonium pectorale Beteromas t ix angulata Kirchneriella contor ta Kirchneriella obesa Kirchneriella sp bull bull Lagerhemia citri formis Lagerhemia subsalsa Lepocinclis s p Hougeot ia s p Oocystis sp Ourococcus bicaudatus Pandorina morum

031 0 1 031 02 03 1 03 03 1 04 03 1 05 03 1 06 03 1 07 032 0 1 033 0 1 034 0 1 035 0 1 036 0 1 037 0 1 038 0 1 039 0 1 039 02 039 03 039 04 039 05 039 06 039 07 039 08 040 0 1 04 1 0 1 042 0 1 042 02 042 03 042 04 043 0 1 043 02 043 03 043 04 043 05 043 06 043 07 044 0 1 045 0 1 046 0 1 047 01 048 0 1 049 0 1 050 0 1 051 0 1 052 0 1 053 0 1 054 0 1 055 0 1 056 0 1

Pedias trum biradiatum Pedias trum boryanum Pediastrum duplex v grac ilimum Pedias trum duplex v ret i culatum Pedias trum simplex Pedias trum s implex v duodenarium Pedias trum tetras Pedinomonas minor Phacotus lent icularis Platydoriana caudata Polyedriopsis spinulosa Pseudotetraedron neglec tum P teromonas aculeata Quadrigula clos teroides Scenedesmus abundans Scenedesmus acuminatus Scenedesmus arcuatus v platydisca Scenedesmus bij uga Scenedesmus denticulatus Scenedesmus d imorphus Scenedesmus opoliens is Scenedesmus quadricauda Schroderia setigera Spermatozops is exultans S taurastrum cuspidatum S taurastrum limne t icum Stauras trum s p 1 1 Stauras trum sp 12 Tetraedron cauda tum Tetraedron gracile Tetraedron limne t i cum Te traedron lobulatum Tetraedron minimum Tetraedron mut icum Tetraedron trigonum Tetras trum s taurogeniaeforme Treubaria crassispina Volvulina s tein i i Ves tella bo tryoides Unknown 1 1 (unicellular green ) Spyrogyra sp Tetmemoris sp Oedogonium s p Unknown Unknown Unknown Unknown Unknown

Chrysophyta

Class Bacillariophyceae (Diatoms)

057 0 1 057 02 058 0 1 059 0 1 060 0 1 06 1 0 1 062 0 1 062 02 062 03 063 0 1 064 0 1 064 02 064 03 064 04 065 0 1 066 0 1 067 0 1 068 0 1 069 0 1 070 0 1 070 02 070 03 070 04 070 05 070 06 070 07 070 08 07 1 0 1 0 7 2 0 1 073 0 1 074 0 1 074 02 074 03 074 04 074 05 074 06 075 0 1 075 02 075 03 075 04 075 05 075 06 075 07 076 0 1 076 02 076 03 076 04 076 05 076 06

Achnanthes exigua v heterovalve Achnanthes sp Amphora ovali s v l i byca Biddulphia laevi s Calonei s amphisbaena Campylodiscus sp Cocconeis dimi nu ta Cocconei s hus t ed t i i Cocconeis placentula Coscinodiscus rothii Cyclotella glomerata Cyclotella kutzi ngiana Cyclotella menghiniana Cyclotella s telligera Cylindrotheca s p Cymatopleura solea Cymbella ventricosa Denticula s p Diplonei s oblongella Fragilaria brevis t riata Fragilaria capucina Fragilaria cons truens Fragilaria cons truens v subsalina Fragi laria construens v ven ter Fragilaria cro tonensi s Fragilaria pinna ta Fragilaria vaucheria Frus tul1a sp Gomphonema graci le Gyrosigma nodiferum Melosira ambigua Melosi ra granulata Melosira granulata v angus tissima fo spiralis Melosi ra granulata muzzanensis Melosira i talica Melosi ra sp Navicula accomoda Navi cula cincta Navicula cryp tocephala Navicula exigua Navi cula pupula Navi cula rhynococephala v germani i Navi cula s p Ni tzschia aci cularis Ni tzschia amphi bia Ni tzschia api culata Ni tzschia augus tata Ni tzschia cons trl c ta Ni tzschia dissipa ta

076 07 076 08 076 09 076 10 076 1 1 076 1 2 076 1 3 076 1 4 076 1 5 076 1 6 076 1 7 077 0 1 078 0 1 079 01 080 01 08 1 01 082 01 083 01 083 02 084 01 085 01 085 02 086 01 087 01 088 01 089 01 090 01 09 1 01 092 01 093 0 1 094 0 1 095 0 1 096 0 1 097 01 098 01 099 01 100 01

Ni tzschia fili formis Nitzschia frus tulum Ni t zschia holos t ica Ni tzschia hungarica Ni tzschia lanceolata v minima Ni tzschia linearis Ni tzschia lorenziana Nitzschia paradoxa Nitzschia punc tuata v coarctata Nitzschia trybilionella v victoriae Ni tzschia sp Opephora mar tyi Pinnularia maior Pleurosigma salinarium v boyeri Rhopalodia gibba Skeletonema Cos tatum Stauroneis s p Stephanodiscus as trae v minutula Stephanodiscus invisi tatus Surirella robusta v splendida Synedra actinas tro ides Synedra ulna Tabellaria sp Tetracyclus lacus tris Thalassios i ra sp Buno tia 1 s p Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Other Chrysophycea

185 01 186 01

Dinobryon sp Synura s p

Cyanophyta (Blue-green Algae)

101 0 1 102 0 1 102 02 102 03 103 0 1 104 0 1 105 0 1 105 02 106 0 1 106 02 107 0 1 108 0 1 109 0 1 109 02 1 10 0 1 I I I 0 1 I I I 02 1 12 01 1 13 0 1 1 13 02 1 14 01 1 15 01 1 15 02 1 15 03 1 15 04 1 1 6 01 1 16 02 1 16 03 1 1 7 0 1 1 18 0 1 1 18 02 1 18 03 1 19 01 120 0 1 1 2 0 02 1 20 03 1 2 1 01 122 01 1 23 0 1 1 23 02 1 24 0 1 1 24 02 1 24 03 1 25 0 1 1 2 6 0 1 127 0 1 128 0 1 1 29 0 1 130 0 1 1 3 1 0 1 1 32 0 1 133 0 1

Agmenellum quadruplicatum Anabaena bornet i ana Anabaena sphaerica Anabaena spiroides Anacyst i s s p (Gloeo thece) Aphanizomenon flos -aquae Aphanocapsa delicatiss ima Aphanocapsa pulchra Aphano thece s tagnina Aphano thece pras ina Arthrospira gomontiana Aulosi ra infuxa Chroococcus planctonica Chroococcus turgidus Coccochloris s p Coelosphaerium naegelianum Coelosphaerium s p Eucapsis alpina Gomphosphaeria aponina Gamphosphaeria lacus tris Bolopedium i rregulare Lyngbya contorta Lyngbya limne t ica Lyngbya tenuis Lyngbya sp Herismopedia elegans Herismopedia glauca Herismopedia punctata H icrocoleus lyngbyaceus Hicrocys tis aeruginosa Hicrocys tis flos -aquae Hicrocys t i s incerta Nodularia spumigena Oscillatoria tenuis Oscillatoria terebriformis Osci llatoria sp Phormidium autumnale Raphidiops i s curvata Schlzo thrix calciola Schlzothrix sp Spirulina laxissima Spi rulina subsalsa Splrul1na sp Glaucocys tis sp Anabaenopsls sp Nos toc sp Unknown Unknown Unknown Unknown Unknown Unknown

1 34 0 1 1 35 01 136 0 1 1 37 01 1 38 0 1 1 39 0 1

Unknown Unknown Unknown Unknown Unknown Unknown

Buglenophy ta

140 0 1 1 4 1 0 1 141 02 141 03 141 04 141 05 141 06 141 07 141 08 141 09 141 1 0 1 4 1 1 1 141 1 2 1 4 2 0 1 142 02 143 0 1 144 0 1 144 02 144 03 144 04 1 44 05 144 06 144 07 145 01 145 02 145 03 145 04 146 0 1 1 46 02 1 46 03 148 0 1 149 01 150 0 1 1 5 1 0 1 1 52 0 1 153 01 154 0 1 155 0 1

As tasia klebesi i Euglena acus Euglena deses Euglena gracilis Euglena hematodes

-Euglena minuta Euglena oxyuris Euglena polymorpha Euglena spiroides Euglena subehrenbergi i Euglena t ripteris Euglena viridis Euglena s p Lepocinclis ovum Lepocinclis texta Petalomonas sp Phacus curvicauda Phacus longicauda Phacus pleuronectes Phacus pyrum Phacus tor ta Phacus triqueter Phacus sp St rombomonas giardiana S t rombomonas giardiana v glabra S trombomonas tambovika S trombomonas sp Trachelomonas crebea Trachelomonas cylindrica Trachelomonas volvocina Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Pyrrhophyta

Class Cryptophyceae

156 0 1 157 0 1 158 0 1 158 02 158 03 158 04 159 0 1 160 0 1 160 02 161 0 1 162 0 1 163 0 1 164 0 1 165 0 1 166 0 1 167 0 1 168 0 1 169 0 1

Chilomonas paramecium Chroomonas acuta Cryptomonas erosa Cryptomonas marssoni Cryp tomonas ovata Cryp tomonas s p Billea sp Rhodomonas lucus tris Rhodomonas sp Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Class Dinophyceae (dinoflagellates )

1 70 0 1 1 70 02 1 7 1 0 1 172 0 1 1 73 0 1 1 74 0 1 1 74 02 1 75 0 1 175 02 1 75 03 175 04 176 0 1 177 0 1 178 0 1 179 0 1 180 0 1 181 0 1 182 0 1 183 0 1 184 0 1

Cerat ium brachyceros Cerat ium hirundinella fa furcoides Diplopsali s lent icula + Glenodinium gymnodinium Gonyaulax sp Gymnodinium aeruginosum Gymnodinium neglectum Peridinium inconspicuum Peridinium umbonatum Peridinium viscons inense Peridinium sp Prorocentrum micans Dinoflagellate cys ts Unknown Dino 1 Unknown Dino 2 Unknown Unknown Unknown Unknown Unknown

+ may be Peridiniopsis acuta

Denotes Genus Comput er Codes Denotes Species Computer Codes

Tentat ive Iden t i f ications

TABLE 55

bull

D I V E R S IT Y

ielou lise di versi ty (H ) bull

-1 I t l oge t

ielou 81se e evenness (J I ) bull

( -1 I 1 l oge 1 ) l og 5

Margl l ev dtversi ty bull

( - 1) log bull bull

ielou Is 10 diverst bull

-1 I 1 l agl0 1

11ou lis 10 IYlnness bull

( -1 I 1 lag l0 1 ) 10110 S

2 Sipson Di vers i ty bull 1 I 1

5 ipson Evenness bull ( 1 - I t2

) ( 1 - ( 1 5raquo

5heldon Evenness bull bull H middot I 5

H middot He t p Evenness bull ( - 1 ) I (5 - 1 )

S I M I LARITY

Mountford bull Z ( 51 + 5Z - 51Z) I ( Z I 5 1 I 5Z -

laquo 51 + 5Z (51 + 5Z - 51 Zraquo

Z Cl t ffordmiddot5tephenson bull 1 - t (lt - Zt )

Mh1ttlker PS I bull 1 - (t l l t - Z1 1 I Z )

Clnberrl Metrtc bull 1 - (t ( ) ft1 t - ftz1 1 I (n11 + nZ1 I IZ )

SIMI bull [(PI I I 21 ) I ( EPIIZ I rP2tZ)

MDrl sltl bull (2Enl 1 I n21 ) I laquo ( E( nl1 I nIl bull 1 ) I ( Nl I Nl - 1) )

+ ( [21 I 21 bull 1 ) I (2 I 2 bull 1 ) ) I 1 I 2)

nIt bull number of Indlv1dulls in sample 1 of 1th tlxa

I bull totll number of Individulls in sample 1

512 bull total nunber of tlXI tn both samples 1 and 2

51 bull umber of tXI t n sample 1

Pt bull percent t th taxa represents of the totll sle (nt )

p bull geome t r i c me an

DISTRIBUTION OF MAJOR TAXONOMIC GROUPS BY DATE AND STATION

1$ $ $I GREEN AUlAE STATION

emggg DIATOMS

FIGURE 5 1

DINOFLAGELLATES __ BLUE-GREEN AL8AE

FIGURE 5 6

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVBBN THE CONTROL AND EXPERIMENTAL SITES ON 17 SEPTEMBER 1 987

E C

E C

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 0 000 150000 0 002583333

3 2 45666667 3 2 44666667 F Value

0 058 Prob gt F

0 82 1 4

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

Mean Score

1 1 0 10 5000000 2 29128785 3 66666667 10 0 10 5000000 2 29 1 28785 3 33333333

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inui ty Correction of 5 )

S- 1 1 0000 z- o

T-Tes t approx Signi f i cance -

Prob gt I Z I - 0 9999

0 9999

Kruskal-Vallis Tes t (Chi -Square Approxima tion ) CBISQ= 0 04762 DP= 1 Prob gt CBISQ= 0 8273

FIGURE 5 6 (cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analys is of Variance

SURFACE

N Mean Among KS Vi thin KS 0 0 1 1 266667 0 1 23066667

E C

3 2 59000000 3 2 50333333 P Value

0 092 Prob gt P

0 7773

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

S td Dev Under BO

1 2 0 10 5000000 2 29 128785 9 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

s- 1 2 0000 z- 0 436436

T-Tes t approx Significance -

Prob gt I Z I - 0 6625

0 6807

Rruskal-Vallis Tes t (Ch i -Square Approxima t ion) CBISO- 0 42857 DP- 1 Prob gt CBISO= 0 5 127

Hean Score

4 0 3 0

PIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BBTVIEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SBPTBHBBR 1987

E C

E C

Analysis of Variance

N Hean Among HS Vi tbin HS 0 0 15000000 0 040433333

3 2 35333333 3 2 45333333 P Value

0 37 1 Prob gt F

0 5754

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

Hean Score

10 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 10 5000000 2 29 1 28785 3 66666667

Vilcoxon 2-Sample Tes t (Normal Approxima tion) (wi th Continui ty Correction of 5 )

S - 10 0000 z- o

T-Test approx Signif i cance -

Prob gt I Z I - 0 9999

0 9999

lruskal-Vallis Tes t (Cbi -Square Approximation ) CBISQ- 0 04762 DF- 1 Prob gt CHISQ- 0 8273

FIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1988

Analys is of Variance

N Mean Among MS Vi thin MS 0 0160 1 6667 0 269783333

E C

3 2 8 1 333333 3 2 9 1 666667 F Value

0 059 Prob gt F

0 8 1 95

E C

N

3 3

Vi lcoxon Scores (Rank Sums)

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Mean Score

1 1 0 1 0 5000000 2 29 128785 3 66666667 10 0 10 5000000 2 29128785 3 33333333

Vi lcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

S - 1 1 0000 z- o

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 9999

0 9999

Kruskal -Vallis Tes t (Chi -Square Approximat ion) CBISa- 0 04762 DF- 1 Prob gt CBrSQ= 0 8273

FIGURE 5 7

ORDERED C LAMBDA MATRICES

8

SEPT 1 7TH

9 1 0 7 1 1

1 2 [ 0 7 1 0 61 0 35 0 54 0 87 [

1 1 [ 0 7 1 0 73 0 60 0 77 [

7 [ 0 84 0 89 0 9 1 [

10 [ 0 72 0 76 [

9 [ 0 90 [

SEPT 30TH

8 9 7 1 2 1 1

10 [ 0 58 0 60 0 69 0 64 0 73 [

1 1 [ 0 9 1 0 91 0 93 0 95 [

12 [ 0 91 0 90 0 93 [

7 [ 0 94 0 94

[ 9 [ 0 99

[

SEPT 22ND

7 8 1 2 1 1 10

9 [ 0 48 0 58 0 37 0 43 0 64 [

10 [ 0 65 0 75 0 73 0 90 [

1 1 [ 0 55 0 54 0 64 [

12 [ 0 54 0 66

[ 8 [ 0 88

[

JAN 1 3TH

8 7 9 1 2 7 5 10

1 1 [ 0 38 0 39 0 35 0 42 0 40 0 57 [

10 [ 0 74 0 57 0 34 0 61 0 74 [

7 5 [ 0 68 0 57 0 50 0 86 [

12 [ 0 58 0 63 0 80

( 9 [ 0 37 0 53

[ 7 [ 0 65

[

VI COMMUNITY METABOLISM

V I A I NTRODUCTION

Convnun i ty metabol i sm as measured by the d i el oxygen mon i tor i ng

techn i que (Odum and Hask i n 1958 Odum and Wi l son 1962 Odum 1967 ) i s

a methodol ogy used to est imate gross system product i on by cal cul ati ng the

rate of b i o l og i cal l y med i ated oxygen c hanges i n a water col umn over a 24

hour peri od Many factors contri bute to the oxygen budget of aquat i c

systems d i ffus i on from the atmosphere photosynthes i s and resp i rat i on

rates of submerged macrophytes phytopl ankton and peri phyton benth i c

oxygen demand resp i rat i on of ani mal s i n the water col umn and BOD al l

pl ay a ro l e i n regul ati ng oxygen l evel s i n the water These factors are

i n turn regu l ated by the energy i nputs i nto the system sun l i g ht

detr i tus and d i s sol ved nutri ents

Odum ( 1 957 ) suggested that gross product i on of an ecosystem may

i nc rease l i nearly wi th i ncreas i ng l i ght i ntens i ty even thoug h the gross

product i on of an i nd i v i dual pl ant woul d exh i b i t a hyperbol i c response to

i ncreas i ng l ig ht i ntens i ty A study of Li ttl e Lake Conway ( near Orl ando)

re vea l ed that photosynthet i c effi c i ency actual l y decreased wi th

i ncreas i ng 1 ight i nten s i ty ( Fontai ne and Ewel 1981 ) Th i s same study

al so noted that the contri but i on of submerged macrophytes and assoc i ated

epi phytes probabl y accounted for seasonal peaks i n product i on s i nce

pl ankton gross product i on rema i ned essent i al l y constant throughout the

year Th i s emphas i zes the need for mu l t i pl e methods when i nvesti gat i ng

convnun i ty product i v i ty and metabol i sm

The fi rst convnun i ty metabol i sm mon i tori ng was conducted over a 2 4

hr peri od o n September 30 and October 1 1987 Measurements o f water

temperature d i s sol ved oxygen content and l i ght penetrat i on were

conducted as descr i bed bel ow Sampl i ng was concl uded wi thout any

i nc i dent and al l pl anned parameters were measured

6- 1

VI B METHODS

Convnuni ty metabol i sm was measured by the d i el oxygen mon i tori ng

techn i que (Odum and Haski n 1958 Odum and Wi l son 1962 Odum 1967 ) a

methodol ogy used to est i mate gross system product i on by cal cul at i ng the

rate of b i ol og i cal l y med i ated oxygen changes i n a water col umn over a 24

hour peri od

Convnun i ty metabol i sm measurements were made at the same stat i ons

on the same sampl i ng date as phytopl ankton pri mary product i v i ty to

prov ide as compl ete a set of overal l product i v i ty and met abol i sm val ues

as pos s i bl e Data were gathered from the three control and three

experi menta l stat i ons for the Hvdr11l a harvest mon i tori ng and used to

d i fferent i ate harvested from non middot harvested areas locat i ons of stat i ons

are i l l ustrated i n F igure 6 1 Subsequent sampl i ngs wi l l enabl e seasonal

vari at i ons of convnun i ty met abol i sm to be asses sed

As requ i red surface ( 0 2 ) and bottom (0 8 of total depth )

measurements of d i ssol ved oxygen and temperature were made at al l s i x

stat i ons over a 24 hour per iod I n add i t i on a nearl y compl ete set of

data was col l ected for mid depth ( 50 of stat i on depth ) The add i t i onal

data prov i de a more compl ete perspect i ve of commun i ty metabol i sm

funct i ons Rates for gross and net pri mary product i on and resp i rat i on

were then cal cul ated Rates of oxygen change were cal cul ated for each

stat i on and depth over the 24 middothr mon i tori ng peri od To a l l ow the

detect i on of any vert i ca 1 d i fferences i n the water col umn O i e 1 net

product i on for each stat i on an depth was determi ned by summat i on of

oxygen change val ues over the 24 middothr peri od Dayt i me net product i on ( P

net ) was cal cul ated by sunvnat i on of oxygen concentrat i on changes between

sunri se and sunset Net n i ght t i me respi rat i on ( R n i ght ) was cal cul ated

by sunvnat i on of oxygen concentrat i on changes between sunset and sunri se

An est i mate of gross pri mary product i on ( P gross ) was then cal cul ated

from the equat i on

dayl ight hours [ Rn ight x n ight hours ]

6 middot 2

An est i mate of res p i rati on for a 24-hrs per i od can be made by the

equat i on

( 24- hr ) hours of ni ght

The same est i mates of gross product i on and res p i rat i on were used to y i e l d

est i mates o f metabol i sm per un i t area o f water col umn by cal cul at i ng

d i el changes i n total oxygen content of the water col umn at a stat i on per

square meter

Normal sol ar i n sol at i on was recorded by a pyrhel i ometer pl aced at

the harvester offl oad ramp By i ntegrat i on of the area under the

i n sol at i on traces val ues for total Kcalm2day of avai l abl e energy were

determ i ned In add i t i on to measuri ng total i n sol at i on Li Cor i n s i tu

photometer read i ngs were made duri ng dayl ight hours at each stati ondepth

to determi ne the amount of energy avai l abl e i n the photosyntheti cal ly

act i ve wave l ength s The ext i nct i on coeffi ci ent of l i ght for each

stat i on was cal cul ated by the equati on

E - ( I n l dl s ) -d

where l d - l i ght at depth (d) l s bull l i ght at surface and d depth of

read i ng

VI C I NTER IM RESULTS

Tabl e 6 1 l i sts the data for temperature and d i s sol ved oxygen as

wel l as the hourly changes i n val ues over the 24-hr record i ng peri od

For the date of sampl i ngs the 1987 NOAA sunri sesunset tabl es g i ve

sunri se at 0651 hrs and sunset as 1850 hrs ( standard t i me) or 1 1 hrs 59

m i n utes o f dayl i ght and 12 hrs 1 mi nute of darkness For purposes of

cal cul at i ons dayl i ght vs darkness are therefore cons idered equ i val ent

Tabl e 6 2 l i sts the val ues obtai ned for i nc i dent sunl i ght (deck un i t ) and

l i ght penetrati on at the surface 0 5m and 1 0m depths Un i t s are mi croshy

e i nste i nsm2sec Sol ar i nsol ati on for September 30 October 1 and a

port i on of October 2 are shown as chart record s i n F igure 6 2

Cons i derabl e cl oud i ness for these three days i s ev i denced by the

traci ng s L i ght penetrat i on i nto the water col umn i s represented by data

6-3

i n Tabl e 6 3 Val ues for surface l i ght ( approximate ly 2 cm bel ow

surface) and l i ght at 0 5 m and 1 0 m were recorded The percentage of

avai l abl e surface l i ght and the ext i nct i on coeffi c i ents for 0 5 m and

1 0 m were al so cal cul ated Val ues for percentage l i ght penetrat i on and

ext i nct i on coeffi c i ents were qui te vari abl e but general l y there was much

l ess l i ght penetrat i on to the 0 5m and 1 0m l evel s at the vegetated

stat i ons refl ect i ng the Hvdri 1 1 a coverage L i ght l evel s at these

stat i ons too were vari abl e depend i ng on the rel at i ve th i ckness of the

Hydri 1 1 a mat

There was a l arge amount of vari at i on i n d i ssol ved oxygen val ues

over the course of the 24-hr data col l ect i on peri od Surface and bottom

00 val ues are graph i cal ly represented for each stati on i n F i gures 6 3

and 6 4 F i gure 6 5 exh i b i t s the overal l trends for the harvested vs

vegetated stat i ons for surface d i ssol ved oxygen val ues averaged for al l

three stat i ons of each transect Al l stat i ons fol l owed the same typi cal

trend of r i s i ng 00 val ues for dayl i ght hours peaki ng i n l ate afternoon

and fal l i ng val ues after sun set Thi s trend i s al so seen i n Tabl e 6 4

wh i ch represents the percent saturati on for surface mi d and bottom

depths Aga i n the general trend i s for greatest l evel of percent

saturat i on to occur dur i ng afternoon hours and l owest percentages dur i ng

the early pre-dawn hours The most notab1 e d i fferences occurred for

bottom 00 val ues at Stati on 12 wh i ch appeared to be much l ower overal l

D i ver observat i ons made on December 1 1 1 987 reveal ed that thi s stat i on

has a th i ck l ayer (+0 3m) of very fi ne sed i ments The water- sed iment

boundary was very d i ffi cu1 t to l ocate due to the f1 occu1 ent nature of

t h i s sed i ment It seems probabl e that the very l ow val ues obtai ned at

t i mes at Stati on 12 were probabl y the resu l t of part i al l y l oweri ng the

probe i nto thi s turb i d i ty l ayer

Tabl e 6 5 presents the daytl me net product i on and net n i ght t i me

resp i rat i on as the sum of changes i n oxygen val ues during dayl i ght

( produc t i on ) and n i ght t i me (respi rat i on ) Product i on val ues ranged from

- 0 3 ppm ( Stati on 7 mid depth) to 1 2 0 ppm 02 product i on ( Stat i on 1 1

surface ) Overal l the control stati ons exh i b i ted greater product i vi ty

wi th a mean val ue of 4 4 ppm 02 product i on compared to 2 8 ppm for the

harvested transect For i nd i vi dual compar i sons between harvested and

6-4

comparabl e control 7 of the n i ne comb i nat i ons (3 stat i on pai rs x 3

depths ) exh i bi ted greater val ues for the control s i tes Thi s d i fference

i n product i v i ty i s expected s i nce the Hydri l l a was removed from Stat i ons

7 8 and 9 For net n i ght res p i rat i on Stat i on 1 1 exh i b i ted the

greatest oxygen demand ( -4 4 ppm 02) and Stat i on 12 the l owest demand

( - 1 4 ppm 02 ) However th i s i ncl udes an anomal ous val ue for the bottom

l ocat i on of Stat i on 12 (+1 8 ppm 02 ) For al l but three compari sons

( Stat i ons 7 and 10) control stat i ons exh i bi ted a greater resp i rat i on

demand than the harvested stati ons The trend of reduced resp i rati on at

harvested stati ons woul d be expected due to weed removal

Tabl e 6 6 l i sts the d i el net product i on val ues for each stat i on

for the 24-hr moni tori ng peri od Only one stat i on ( 7 ) exh i b i ted a

negat i ve net product i on val ue as an average for the total water col umn

Th i s i nd i cates a net consumpti on of oxygen over what i s produced by the

photosynthet i c act i v i ty Whi l e there appear to be d i fferences between

stations and overal l transect val ues these were not stat i s t i cal l y

s i gn i fi cant when tested wi th a I -way ANOVA Est i mates of gross primary

product i on are i l l ustrated i n Tabl e 6 7 For the harvested transect

val ues ranged from -7 3 at mi d-depth of Stat i on 7 to 1 2 at the surface

of Stati on 9 For the control transect val ues ranged from -2 8 (mi dshy

depth Stat i on 1 1 ) to 2 3 at Stat i on 12 The val ues for Stat i on 12 need

to be vi ewed wi th caut i on due to the nature of the fi ne sed i ments at thi s

stat i on as prev i ously stated Overal l Stat i on 7 exh i bi ted the l owest

product i v i ty (x bull -4 7 ) fol l owed by Stat i ons 8 (x bull - 1 9) 1 1 (x bull - 1 7 )

10 ( X bull -0 2 ) 1 2 ( X bull 0 2 ) and 9 (X bull 0 6 ) Whi l e the harvest transect

stati ons exh i bi ted l ower overal l pri mary producti on val ues there was no

s i gn i fi cant d i fference between the control vs harvest transects

Tabl e 6 8 presents esti mates of total resp i rati on for a 24-hr

per i od for each stati on Val ues ranged from - 1 2 0 for the surface of

Stat i on 1 1 to -3 2 for surface and middl e val ues of Stati on 7 The

pos i t i ve 3 6 val ue for the bottom of Stat i on 12 i s an anomal y due to the

nature of sed i ments at th i s stati on Data for Stati on 12 wi l l be

reval u ated to determi ne i f appropri ate correct i ons can be mad e There

were no stati st i cal l y s i gn i fi cant d i fferences between val ues of control

versus harvest transects

6 -5

Vl tO t FINAL REPORT ANALYSES

Data anal ys i s for the i nter im report has not been exten s i ve s i nce

onl y data from one event has been eval uated A second mon i tor i ng was

conducted on January 13 and 1 4 1988 for wh i ch data reduct i on i s not yet

compl eted There i s some i nd i cat i on that there may be a d i fference i n

the parameters measured for the SeptemberOctober sampl i ng between the

control and harvest transects These d i fferences were not stat i st i cal l y

detectabl e based upon anal yses o f the fi rst data set Prel i mi nary rev i ew

of data generated by the January sampl i ng i nd i cate fewer d i fferences

between stat i ons than were found i n SeptemberOctober Subsequent

sampl i ngs may enhance the poss i bi l i ty of detect i ng l ow l evel d i fferences

between control and harvest stat i ons i f such d i fferences actual ly occur

Hvdri l l a regrowth was very rapi d w ith i n the harvest transect As

a resul t of th i s rap id return to basel i ne cond i t i ons i t i s unl i ke1 y

that Quarter I I I and IV cORlllun i ty metabo 1 i sm measurements wi 1 1

d i fferent i ate between control versus harvested stat i ons Thus the

harvest i ng i mpacts on commun i ty metabol i sm appear to be most pronounced

i mmed i ate ly after harvest The fi rst quarterl y col l ect i on showed a l arge

vari ance i n data that i s poss i bl y maski ng d i fferences between harvest and

control stati ons The sampl i ng strategy for the th i rd and fourth

sampl i ngs cou ld be restructured to repl i cate the cond i t i ons of Quarters I

and I I Th i s wou ld prov i de a second set of data to prov i de i nformat i on

on max i mum i mpact for a d i fferent harvest season Seasonal growth

di fferences of Hydri 1 1 a and the Okeechobee peri phyton commun i ty can be

expected to resul t i n seasonal patterns of commun i ty metabol i sm Th i s

wou ld entai l a reharvest of the experi mental transect

As ment i oned i n the resul t s the data from Stat i on 1 2 were qu i te

d i fferent from al l other stat i ons due to the very organ i c substratum

For the fi nal report Stat i on 1 2 data wi l l be del eted and the data set

reanal yzed In add i t i on anal ys i s of pa i red stati on combi nati ons (e g

7 - 10 8 - 1 1 9 - 1 2 ) may enabl e a more prec i se d i fferent i at i on of

d i fferences between control versus harvested stati ons

6-6

LITERATURE CITED

Fonta i ne 1 0 I I I and K C Ewel 1981 Metabol i sm of a Fl ori da USA l ake ecosystem L i mnol Oceanog 26 (4 ) 754 - 763

Lewi s F G I I I and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 16-124

Odum H T 1957 Troph i c structure and product i v i ty of S i l ver Spri ngs Fl ori da Ecol Monographs 27 55- 1 1 2

Odum H T 1967 B i ol og i cal c i rcu i ts and the mari ne ecosystems of Texas p 99 - 157 In I A Ol son and F J Burgess ( eds ) Pol l ut i on and Mari ne Ecol ogy W i l ey I ntersc i ence Publ NY

Odum H T and C M Haski n 1958 Comparat i ve stud i es on the metabol i sm of mar ine waters Publ Inst Mar Sci Texas 5 16-46

Odum H T and R F Wl l son 1962 Further stud i es on reaerat i on and metabol i sm of Texas bays 1958- 1960 Publ Inst Mar Sci Un i v Texas 8 23 - 55

6 -7

Table 11 NOUly trature and di solved oxygen values for th central atat lona ( 10 1 1 12) m three N)dri Ua harvested atat fona at

the Lake Okeechobee study ai te

Irature

Run Statl an I i SUrface Mid BottOM

1

2

3

4

5

6

7

8

9

10

1 1

1 2

13

14

1 5

1 6

1 7

18

19

20

21

22

21

24

2

3

4

5

6

7 1340

7 1 505

7 1608

7 1108

7 1800

7 1908

7 2008

7 2105

7 2200

7 2300

7 2346

7 0049

7 0220

7 0113

7 0412

7 0500

7 0600

7 0700

7 0823

7 0906

7 1 005

7 1 105

7 1 21 3

7 1310

8 1 353

8 1 522

8 1627

8

8 827

8 1934

279 280

28 0 28 2

28 1 28 1

280 280

279 279

280 280

280 280

279 279

275 275

27 5 275

272 272

275 27 5

27 5 273

273 273

270 270

270 270

265 270

26 5 26 5

265

265

265 26 5

270 27 0

275 267

273

277 270

280 280

28 1 28 1

28 0 280

279 279

279 279

280

28 2

28 1

280

279

280

28 0

279

275

27 5

27 2

275

273

27 3

270

270

268

26 5

26 5

265

26 5

26 7

26 7

267

278

28 0

28 1

280

279

279

lenperature 01

SUrface Mid Iottca

DiAOlved OXygen Chle I n Oxygen

Surface Mid IottCIII SUrface M id BottOM

1 2

1 1 - 1

- 1 - 1

1 1

o 0

- 1 - 1

- 4 4

o 0

3 - 3

3 3

o - 2

- 2 0

- 3 - 3

o 0

5 0

8 70 750

2 D 695 680

- 1 A 790 770

- 1 Y 830 740

- 1 720 720

1 720 7 1 0

o 6 70 600

- bull 590 600

- 4 I 7 50 740

o G 660 6 60

- 3 H 700 6 30

3 I 840 820

2 860 930

o 480 4 80

3 430 4 10

o 4 70 460

2 3 70 3 15

o - 5 middot 3 320 3 1 0

3 50 o o o

5 5

5 - 3

2

3

1

- 1

1

1

- 1

- 1 - 1

o 0

o o D 5 40

o A 4 70 4 65

2 Y 630 6 20

o 1 1 00 5 30

o 8 30

590 5 90

2 D 690 680

1 A 7 30 730

- 1 Y 700 7 10

- 1 N 700 730

o 680 6 70

400

615 - 1 75 - 70 275

620 95 90 - 55

640 40 30 20

700 - 1 10 - 20 60

660 00 - 10 - 40

600 - 50 - 1 1 0 - 60

600 - 80 00 00

7 00 1 60 1 40 1 00

650 - 90 - 80 - 50

5 70 40 - 30 - 80

770 1 40 1 90 200

9 0 20 1 10 1 40

480 -380 -450 -430

480 - 50 - 70 00

450 40 50 - 30

3 75 - 1 00 - 85 - 75

320 - 50 - 65 - 55

330 30

460 1 90

430 - 70

500 1 60

340 4 70

4 30 2 70

580 -050

680 1 00

730 40

7 10 bull bull 30

10

1 30

- 30

1 55 70

- 90 - 1 60

90

SO -050

90 1 00

50 50

- 20 - 20

730 00 20 20

6SO - 20 - 60 - 80

Tabl e 11 cont inued

TeIIpeIt Tenpert Ch Run St t i on T i 5 fc Mid lottGl Surfac Mid Botta 5 fce Mid BottGl SUrfac M id lottGl

7

8

9

1 0

1 1

12

11

14

15

16

17

18

19

20

21

22 21

24

1

2

1

4

5

6

7

8

9

1 0

1 1

12

8 2024

8 2124

8 2214

8 211]

8 2402

8 0108

8 0304

8 0346

8 0426

8 05 1 7

8 0612

8 0720

8 0835

8 0920

8 1020

8 1 125

8 1 232

8 1121

9 1409

9 1519

9

9 1 742

9 1848

9 1951

9 2040

9 2142

9 2230

9 2127

9 2420

9 0127

280 278

27 5 275

27 5 275

275 275

272 272

270 270

27 0 270

27 0 270

265 270

265 27 0

26 1 265

26 1 265

265

261 26 1

26 5 265

26 7 26 7

270 270

271

270 272

275 275

276 276

272 272

275 275

27 5 275

27 5 275

270 270

270 270

270 27 0

27 0 270

270 270

278

275

275

275

272

27 0

270

270

270

270

26 5

265

265

261

265

26 7

270

271

270

275

276

272

275

275

275

27 0

27 0

27 0

270

27 0

1 - 1

- 5 - 1

o 0

o 0

- 1 - 1

2 - 2

o 0

o 0

- 5 0

o 0

- 2

o 2

2

2

2

1

1

- 5

o

2

2

1

-1 G 650 640

1 bull 5 80 5 80

o T 6 00 5 90

o 8 00 710

- 1 M 700 6 00

- 2 I 740 750

o G 550 5 50

o 4 60 5 00

o T 4 50 4 40

o 5 00 480

- 5 4 40 4 80

o 1 70 2 80

o D 2 90

- 2 A 2 40 2 40

2 Y 495 4 85

2 5 90 5 70

1 570 5 40

1 640

- 1 - 1 4 20 4 10

5 1 5 D 6 25 575

1 1 1 A 690 670

- 4 - 4 - 4 Y 5 20 5 30

1 1

o 0

o 0

- 5 - 5

o 0

o 0

o 0

o 0

1 5 50 5 10

o bull 6 50 620

o I 6 50 630

- 5 G 7 50 760

o 670 660

o T 5 50 5 70

o 700 1 80

o 9 00 870

630 - 30 - 30 - 20

580 - 70 - 60 - 50

5 70 20 10 - 10

600 200 1 40 10

590 - 1 00 - 1 30 - 1 0

590 40 1 50 00

5 20 - 1 90 - 2 00 - 70

5 00 - 90 - 50 20

4 30 - 1 0 - 60 - 70

480 50 40 50

4 10

2 60

2 80

2 15

485

5 50

5 40

630

- M 00 - 70

- 70 -200 - 1 50

- 80 20

- 50 - 45

2 55 2 45 2 50

95 85 65

- 20 - 30 - 1 0

70 90

410 -2 20 -2 20

5 80 2 05 1 65 1 70

690 65 95 1 10

5 20 - 1 70 - 1 40 - 1 70

5 40 30 00 20

6 10 1 00 90 70

600 00 10 - 1 0

760 1 00 1 30 1 60

640 - 80 - 1 00 - 1 20

4 60 1 20 - 90 - 1 80

680 1 50 - 1 90 2 20

850 2 00 490 1 70

Table 1 1 cont inued

Tenperature

Run Stat i on T ime Surface Mid Botta

13

1 4

1 5

1 6

1 7

1 8

1 9

20

21

22

23

24

1

2

3

4

5

6

7

8

9

1 0

1 1

1 2

1 3

1 4

15

1 6

1 7

9 0318

9 0358

9 0439

9 0535

9 0624

9 0742

9 0850

9 0926

9 1 036

9 1 145

9 1 251

9 1 ]40

10 1419

10 1514

1 0 1618

10 1 716

1 0 1 81 5

10 1 92 1

10 201 7

10 2 1 1 3

10 2207

10 2305

10 2355

10 0057

10 0247

10 Oll8

10 0418

10 0508

10 0605

268 268

265 265

263 265

265 265

26 0 263

260 263

260

26 0 260

26 3 263

265 265

270

273

278 laO

la O la O

la 1 la 1

la 28 1

laO 280

28 0 laO

28 0 278

275 275

272 275

275 27 9

275 275

27 1 27 1

270 273

265 27 0

26 5 270

270 27 0

263 265

268

265

265

26 5

263

263

260

26 0

263

265

27 0

27 0

28 0

28 0

281

28 1

28 0

28 0

278

279

27 5

280

275

27 1

273

27 0

270

27 0

26 7

Tenperature Change Surf-=e Mid Iotta

Di ssolved Oxygen Charae In OXygen

Surface Mid Botten SUrf-=e Mid BottOll

2 2

- 3 - _ 3

- 2 0

2 0

- 5 - 2

o 0

o o

3 3

2 2

5

3

2

1

o

o 1

o

- 1 - 1

o 0

o - 2

- 5 - 3

- 3 0

3 4

o - 4

4 - 4

- 1 2

- 5 - 3

o 0

- 2 bull 450 450

- 3 I 360 355

o G 3lD 360

o H 365 370

T

- 2 365 340

o 210 200

- 3 D 1 10

o A 240 2 1 0

3 Y 4 40 495

2 5 60 5 45

5 600

o 700

580 520

o D 790 790

1 A 890 730

o y 650 630

- 1 880 8 1 0

o 650 680

- 2 600 600

1 N 430 420

- 4 I 3 30 430

5 G 4 1 0 4 60

- 5 H 4 50 5 50

- 4 T 830 820

2 630 7 1 0

- 3 4 40 460

o 420 4 30

5 0 0 4 10 3 90

- 7 - 5 - 3 3 10 360

4 50 -450 -420 -4 00

395 - 90 - 95 - 55

300 - 30 05 - 95

340 35 10 40

335 00 - lD - 05

2 00 - 1 55 - 1 40 - 1 35

1 40 - 40 - 60

2 10 70 70

4 10 200 285 260

4 80 1 20

5 60 40

5 0 1 0

80

670 1 00 1 1 0

5 40

590 2 1 0 270 50

5 90 1 00 - 60 00

6 50 -2 40 - 1 00 60

6 00 2 30 1 80 - 50

620 -2 30 - 1 lD 20

5 90 - 50 - 80 - 30

4 50 - 1 70 - 1 80 - 1 40

4 00 - 1 00 10 - 50

4 20 80 lD 20

4 80 40 90 60

8 10 3 80 2 70 330

730 -200 - 1 10 - 80

4 55 - 1 90 -250 -2 75

440 - 20 - 30 - 1 5

3 95 - 1 0 - 40 - 45

3 60 - 40 - _30 - 35

Table 81 cont inued

Teaprature Teaperature QUI D f ssol ved IlXWen Chqe In Oxygen Ral Stat i on T i_ Surface Mfd BoU_ SUrface M i d IIOtt_ Surface Mid Batt_ SUrface Mid Bott_

11

1 9

20

21

22

23

24

2

3

4

5

6

7

I 9

1 0

1 1

1 2

1 3

1 4

1 5

16

1 7

1 1

1 9

20

21

22

23

1 0 0712

10 0821

10 0912

10 1 01 0

10 1 11 2

10 1 Z20

10 1 316

1 1 1455

11 1521

11 1641

11 1 732

11 18lO

1 1 1938

1 1 2029

1 1 2130

1 1 2Z20

1 1 2311

1 1 2408

1 1 0116

1 1 0310

11 0350

1 1 0430

1 1 0524

1 1 0617

1 1 0729

084 1

1 1 0926

1 1 1026

11 1 131

11 1238

263 265

263

265 265

265 265

273 26 5

285 270

277

271 271

280 271

280 280

280 280

275 280

275 275

275 275

275 271

275 275

272 275

270 27 1

270 27 0

261 270

261 270

270 270

260 265

260 263

263 265

263

263 263

265 265

280 270

293 273

26 7

26 5

26 5

26 5

26 5

270

26 7

271

271

210

210

21 0

275

27 5

271

275

27 2

27 1

270

270

270

270

26 7

26 5

26 5

26 5

263

26 5

26 7

270

o o

2

o 1

1 2

- 1

o

o o

5

o 390

- 2 D 4 75

o A 5 15

o y 640

o 900

5 1 1 00

- 3 1040

390

4 80

3 80

4 30

5 80

1 1 1 1 00 520

2 0 0 D 150 600

o 2 2 A 160 5 70

o 0 0 Y 900 660

-5 0 0 650 680

o - 5 - 5 660 630

o 0 0 5 50 5 80

o 3 3 M 560 550

o 3 - 3 I 5 10 5 00

middot 3 0 - 3 G 5 90 5 50

- 2 - 4 - 1 H 620 5 90

o - 1 - 1 T 710 690

- 2 0 0

0 0 0

2 0 0

- 1 5 - 3

4 20 430

3 75 3 70

360 350

3 00 295

o 3

o o

2

1 5

1 3

2

2

2

5

3

- 2 280

o 4 1 0

o 5 85

- 2 D 650

2 A 720

2 Y 1360

3 1 540

2 70

4 1 0

5 40

5 70

100

740

410

4 00

4 1 0

290

360

4 10

290

20 30 50

15 - 1 0

40 1 0

1 25 - 1 00 -1 20

2 60 50 70

200 1 50 1 1 0

- 60 -1 80

525 -240 235

6 00 50 80 75

500 1 0 - 30 -1 00

650 40 90 1 50

660 -250 20 1 0

600 1 0 - 50 60

560 - 1 1 0 - 50 - 40

5 50 1 0 - 30 - 10

490 - 50 - 50 - 60

410 80 50 - 20

600 30 40 1 30

640 _90 1 00 40

4 40 -290 -260 -200

400 - _45 - 60 - 40

3 50 - 1 5 - 20 - 50

300 - 60 - 55 - 50

3 00

4 25

5 15

495

480

680

610

- 20

1 30

1 75

65

70

640

1 80

- 25

1 40

30

230

- 60

00

1 25

90

- 20

- 15

200

- 1 0

Table e 1 cont l nuacl

leaperature leaptrature Change

Rill Statten I I Surface Mfd lottca SUrface Mid Bottca surface Mid Bottca SUrface Mid Bottca

24

1

2

]

4

5

6

7

8

9

10

1 1

1 2

1 ]

14

15

16

17

18

19

20

21

22

2]

24

1 1 1329

12 1 4]]

12 1546

12 1 655

1 2 1 752

1 2 1857

12 1 957

12 2045

12 2141

1 2 2214

12 2]]]

12 2426

12 0133

12 0122

12 0401

1 2 044]

12 0542

12 0629

12 0746

12 855

12 941

12 1 045

12 1 150

12 1255

12 1 344

29]

27] 275

27 5 271

276 275

272 275

275 275

270 270

27 1 275

270 272

275 275

270 27 0

270 270

270 27 0

265 265

26 ] 265

26 ] 26 5

26 5 26 5

260 26 ]

26 ]

260

26 0 260

26 7 26 ]

27] 26 ]

277

29 0

270

275

275

275

27 1

275

27 0

27 1

270

270

27 0

27 0

270

261

26 5

26 7

265

265

26]

260

26 0

26]

26]

26 5

27]

o

2 ]

o 1 4 00

4 50 220

o D 6 SO 5 60

1 - ] 0 A 100 4 50

- 4 0 - 4 5 10 4 90

] 0

5 - 5

1 5

- 1 ]

5 ]

5 - 5

o 0

o 0

- 5 5

- 2 0

o 0

2 0

- 5 2

]

- ]

o 7 ]

6 0

4

1 ]

4 4 60 440

5 4 80 4 70

1 450 5 00

1 II 790 690

o I ]90 ]90

o G 620 5 20

o N 580 5 50

o I 730 750

- 2 4 10 400

-] ]60 ] 55

2 260 2 70

2 2]5 2 ]0

o 280 2 50

2 1 10

] D 1 60

o A 1 60 1 ]0

] 690 220

o 920 ] 60

2 630

8 1 0 00

640 1 40 - ]0

1 90

4 1 0 200 ] 40 220

400 1 50 1 10 - 1 0

40 -2]0 40 middot]60

440 -1 10 - 50 400

480 20 30 40

10 - ]0 30 - 4 1 0

]20 ] 40 1 90 250

]00 -400 -]00 - 20

]00 2]0 1 30 00 2 1 0 - 40 30 - 90

400 1 50 200 1 90

90 -] 20 -]50 -] 1 0

1 00 - 50 bull bull 45 1 0

240 - 1 00 - 85 1 40

220 - 25 - 40 - 20

230 45 20 1 0

07 - 1 70 -221

10 50 61

50 00 - 20

]50 5 ]0 90 ] 00

290 2 ]0 1 40 - 60

240 -290 - 50

490 ] 70 2 50

Table 12 PhotaDet ry values for surface i d and bot tca depths for a l l stat ions for the 24 hour

Rlni tori peri od of Septeri)er 30 through October 1 1981 Deck lIIi t readings are used as a

llleasure of the var i a t i on i n incident sllll f t comi t fons (Uni ts icroei nste i nssec )

Rln Stat i on

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

1

1

1

1

1

1

1

1

1

1

1

1

1

9

9

9

9

9

Time

1340

1 501

1606

1 709

1800

1906

100

823

906

1 005

1 105

1213

1310

1 341

1521

1621

1 124

1826

1932

120

835

920

1 020

1 125

1 232

1 323

1409

1 531

165 1

1 142

1846

Slbners

Deck 1 Deck 2 Deck 3 Deck 4 eel ib Surface 05 bull 1 0 bull

195

140

910

410

183

1 0 5

3 2

210

580 620

1 700

2100

410

195

660 630

310

93

o 1 5

440

410

140

1 000

2100

2100

228

500

650

190

61

201

130 1020

460

180

102

3 3

210

510

560

1800

2200

500

195

650

810

300

1 1 1

o 14

420

360

570

1200

2200

2200

234

510

640

1 70

61

201

130

1 140

400

168

93

34

o o

460 1 700

2100

o

198

640

660 310

18 o

14

o 400

1300

110

2100

o

246

530

650

160

41

201

130 1 11

440

165

81

34

230 540

790 1100

2200

550

201

610

520

320

75 o

14

560

410

110

560

2200

2200

246

520

600

141

41

189

580 61 0

290 123

9

59

160

440

450

1600

1600

350

186

510

480 200

54

o 4 2

3 1 0

300

560

650

1500

1500

231

430

430

180

55

156

450

490

210

1 1 1

96

8 1

1 30

340

360 1 1 00

100

300

1 11

420

450

168

51

o 14

210

240

320

500

1400

1200

195

350

360

140

33

54

225

144

12 39

66

18

o o

55

500

650

o

99 111

195

60

1 1 1

o 1 2

o 140

310

180

320

o

108

129

120

54

14 1

38 59

51

1 1 1

1 2 3

5 5

1 6

1 1

88

35

55

19 5 1

16

16

54

26

15

o

65

11

90

40

300

250

12

58

1 3 5

1 9

1

lIble 82 cont inued

R Sut i on

6

18

19

20

21

22

23

24

1

2

3

4

5

6

18

1 9

20

21

22

23

24

2

3

4

5

6

18

19

20

21

23

24

9

9

9

9

9

9

9

9

10

10

10

10

10

10

10

10

10

10

10

10

10

11

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

742

850

936 1038

1 145

1251

1 340

1419

1 51 3

1616

1 716

1815

1919

712

828

91 2

1010

1 1 12

1220

1 316

1455

1527

1639

1 730

1835

n9

841

926

1 026

1 238

1329

SlbIRrl

0ec1r 1 0ec1r 2 0ec1r 3 0ec1r 4 Cal l b Sw-flce 0 5 1 0 bull

o 52

280 430

1 100

520

590

2100

330

730

760

420

126

4 6

42

230

320

1600

1 100

1 200

590

750

580

780 260

60 o

20

600

280

1400

1 100

2100

o 52

280

390

1000

530

570

2100

350

740

750

400

126

41

4 1

230 280 750

1700

850

540

77D 570

720 260

60

o 20

360 220

1200

800

1900

o 0

55 57

o ]40

350 320

1000 780 680 660

o 62000 o 600

360 390

730 730 71 0 690

370 360 120 1 14

33 29

4 3 4 6

o 280

530 330

850 1400

1900 1800

1 400 1900

o 530

810 850

550 540

no 690 330 260

60 60

o 0

23 26

o 350

220 240

1500 1500

no 2000

o 700

o 42

210

310

7DO 370

420

1600

300

540

570

280 87

58

64

220

250

700

1400

800

420

550

460 660 240

54

o 19

400

230

1 100

700

1500

o 37

190

250

460 300

330

1300

270

500

410

220

81

6 7

78

90

150

150

800

280

150

420

400

550

200

28

o 13

80

130

650

500

900

o 23

o 130

150

210

o o

66 45

24

99 78

54

76

o 68

69

73

71

o

52

54

1 5

9

69

o 84

o 7 1

7

5 1

o

o 14

1 1

37

10

55

91

61

66 45

30

84

78

5 2

76

73

72

68

7

69

43

490

55

144

84

66

o 83

88

7

69

5 3

4 6

Table 12 cont lrued

SbDe

RIII Stat ion Deck 1 Deck 2 Deck 3 Deck 4 Cal l b surface 05 bull 1 0 bull

12 1433 550 570 600 650 480 420 540 52

2 12 1545 490 480 490 490 410 350 46 41

3 12 1658 400 430 430 440 4 1 0 350 105 350

4 12 1748 180 180 171 1 74 150 126 81 84

5 12 1 856 29 29 25 lJ 27 1 5 6 1 61

6 12 0 0 0 0 0 0 0 0

18 12 746 64 62 0 7l 49 27 0 7

19 1 2 155 230 230 0 290 180 1 50 0 69

20 12 941 320 300 380 360 240 180 21 7

2 1 12 1045 1 400 1400 1 200 1300 1 200 900 69 75

23 12 1255 2100 2100 0 20000 1600 710 0 4 8

24 12 1144 2100 2100 0 700 1600 1300 0 4

Table 83 Light penetration parameters SUrface light (awroximately 2an below water surface) light at o 5m anl 1 Om as well as the peJOeJ1tage of the surface value anl extintion coefficient for eadl station are represented

SUrface (0 5 Meter) (1 0 Meter) Run Time Light Light Percent Ext Q)ef Light Percent Ext Q)ef

station 7 1 1340 156 0 54 0 34 6 2 12 38 0 24 4 1 41 2 1507 4500 225 0 50 0 1 39 59 0 13 1 2 03 3 1606 490 0 144 0 29 4 2 45 57 0 11 6 2 15 4 1709 210 0 72 0 34 3 2 14 11 1 5 3 2 94 5 1800 111 0 39 0 35 1 2 09 12 3 11 1 2 20 6 1906 9 6 6 6 68 8 75 5 5 57 3 56

18 700 8 1 7 8 96 3 08 7 6 93 8 06 19 823 130 0 11 0 8 5 2 47 20 906 340 0 8 8 2 6 3 65 21 1005 360 0 55 0 15 3 3 76 35 0 9 7 2 33 22 1105 1100 0 500 0 45 5 1 58 55 0 5 0 3 00 23 1213 700 0 650 0 92 9 15 79 0 11 3 2 18 24 1310 300 0 5 1 1 7 4 07

station 8 1 1347 171 0 99 0 57 9 1 09 76 0 44 4 81 2 1521 420 0 177 0 42 1 173 76 0 18 1 1 71 3 1627 450 0 195 0 43 3 1 67 54 0 12 0 2 12 4 1724 168 0 60 0 35 7 2 06 26 0 15 5 1 87 5 1826 51 0 17 1 33 5 2 19 7 5 14 7 1 92

18 720 14 0 12 0 85 7 31 1 0 7 1 2 64 19 835 210 0 65 0 31 0 1 17 20 920 240 0 140 0 58 3 1 08 77 0 32 1 1 14 21 1020 320 0 370 0 115 6 - 29 90 0 28 1 1 27 22 1125 5000 180 0 36 0 2 04 40 0 8 0 2 53 23 1232 1400 0 320 0 22 9 2 95 300 0 21 4 1 54 24 1323 1200 0 250 0 20 8 1 57

Table 8a continued

statioo 9 1 2 3 4 5

18 19 20 21 22 23 24

statioo 10 1 2 3 4 5 6

18 19 20 21 22 23 24

surface Time Light

1409 1950 1537 350 0 1651 360 0 1742 140 0 1846 33 0

742 37 0 850 190 0 936 250 0

1038 460 0 1145 300 0 1251 330 0 1340 1300 0

1419 270 0 1513 500 0 1616 410 0 1716 220 0 1815 81 0 1919 6 7 712 7 8 828 90 0 912 150 0

1010 150 0 1112 800 0 1220 280 0 1316 150 0

(0 5 Meter) Light PeJoent EKt Qlef

108 0 55 4 1 18 129 0 36 9 2 00 120 0 33 3 2 20

54 0 38 6 1 91 14 1 42 7 1 70 23 0 62 2 95

0 130 0 52 0 1 31 150 0 32 6 2 24 210 0 70 0 71

66 0 24 4 2 82 45 0 9 0 4 82 24 0 5 9 5 68 99 0 45 0 1 60

7 8 9 6 4 68 5 4 80 6 43 7 6 97 4 05

6 8 4 5 6 19 6 9 4 6 6 16 7 3 9 9 39 7 1 2 5 7 35

( 1 0 Meter) Light Percent EKt Qlef

72 0 36 9 1 00 58 0 16 6 1 80 13 5 3 8 3 28 19 0 13 6 2 00 7 0 21 2 1 55

14 0 37 8 97 11 0 5 8 2 85 37 0 14 8 1 91 10 0 2 2 3 83 55 0 18 3 1 70 91 0 27 6 1 29 61 0 4 7 3 06

66 0 24 4 141 45 0 9 0 2 41 30 0 7 3 2 61

8 4 3 8 3 27 7 8 9 6 2 34 5 2 77 6 25 7 6 97 4 03 7 3 8 1 2 51 7 2 4 8 3 04 6 8 4 5 3 09 7 0 9 4 74 6 9 2 5 3 70 4 3 2 9 3 55

Table 83 continued

SUrface Time Light

statioo 11 1 1455 420 0 2 1527 400 0 3 1639 5500 4 1730 2000 5 1835 28 0

18 729 13 0 19 841 80 0 20 926 130 0 21 1026 6500 23 1238 500 0 24 1329 9000

statioo 12 1 1433 420 0 2 1545 350 0 3 1658 3500 4 1748 126 0 5 1856 15 0

18 746 27 0 19 855 1500 20 941 180 0 21 1045 900 0 23 1255 710 0 24 1344 13000

(0 5 Meter) Light Feroent Ext Q)ef

52 0 12 4 4 18 54 0 13 5 4 00 15 0 2 7 7 20

9 0 4 5 6 20 69 24 6 2 80 8 4 64 6 87

7 1 5 5 5 81 7 0 1 1 9 06 5 1 1 0 9 17

540 0 128 6 -50 46 0 13 1 4 06 10 5 3 0 7 01

8 1 6 4 5 49 6 1 407 1 80

21 0 11 7 4 30 6 9 8 9 74

(1 0 Meter) Light Peloent Ext Q)ef

490 0 1167 - 15 55 0 13 8 1 98 14 4 2 6 3 64

8 4 4 2 3 17 6 6 23 6 1 45 8 3 63 8 45 8 8 11 0 2 21 7 0 54 2 92 6 9 1 1 4 55 5 3 1 1 4 55 4 6 5 5 28

52 0 12 4 2 09 41 0 117 2 14

350 0 100 0 00 8 4 6 7 2 71 6 1 407 90 7 0 25 9 1 35 6 9 4 6 3 08 7 0 3 9 3 25 7 5 8 4 79 4 8 7 500 4 0 3 578

Tabl e t

Run Stat i on - - _ - - -

1 7 2 7 3 7 4 7 5 7

6 7 7 7 8 7 9 7

1 0 7 1 1 7 1 2 7 13 7 14 7 IS 7 16 7 1 7 7

1 8 7 19 7 20 7 2 1 7 22 7 23 7 24 7

1 8 2 8 3 8 4 8

5 8 6 8 7 8 8 8 9 8

1 0 8 1 1 8 1 2 8 1 3 8 14 8 1 5 8

01 sso 1 ved oxygen va 1 ues expressed as percentages of s aturat i on for each stat i on over the 24 hour mon tori ng peri od

Percent Saturati on - Di ssol ved Oxygen T i me Surface Mid Bottom

- - - - - - - - - - - - _ - - -

1340 1 1 1 25 96 1 5 1 2 1 505 89 03 87 4 86 8 1608 10 1 38 98 8 79 6 1 708 106 33 94 8 82 0 1800 92 07 92 1 89 5

1908 92 24 9 1 0 84 5 N I GHT 2008 85 83 76 9 76 9 2 1 05 75 45 76 7 76 7 2200 95 23 94 0 88 9 2300 83 80 83 8 82 5 2346 88 40 79 6 72 0 0049 106 65 1 04 1 97 8 0220 109 19 1 1 7 7 1 1 5 1 0333 60 73 60 7 60 7 04 1 2 54 1 1 5 1 6 60 4 0500 59 14 57 9 56 6 0600 46 14 47 2 47 0

0700 39 9 1 38 7 39 9 DAY 0823 43 65 4 1 2 0906 67 34 57 4 1005 58 61 58 0 53 6 1 105 79 28 78 0 62 6 1 21 3 139 67 66 3 42 6 1 3 10 1 05 01 53 8

1353 75 18 74 2 74 0 1 522 88 39 87 1 87 1 1627 93 68 93 7 93 7

89 67 9 1 0 9 1 0

1827 89 51 93 4 93 4 N I GHT 1 934 86 96 85 7 83 1 2024 83 27 8 1 7 80 4 2 1 24 73 64 73 6 73 6 22 14 76 18 74 9 72 4 231 3 101 58 92 7 76 2 2402 88 40 75 8 74 5 0 108 93 12 94 4 74 2 0304 69 21 69 2 65 4 0346 57 88 62 9 62 9 0426 56 12 55 4 54 1

Tabl e 84 cont i nued

Run Stat i on

16 8

1 7 8 18 8 1 9 8 20 8 2 1 8 22 8 23 8 24 8

1 9 2 9 3 9 4 9

5 9 6 9 7 9 8 9 9 9

10 9 1 1 9 1 2 9 13 9 14 9 1 5 9 16 9

1 7 9 18 9 1 9 9 20 9 2 1 9 22 9 23 9 24 9

1 10 2 10 3 1 0 4 10

Percent Saturati on - Di ssol ved Oxygen T i me Surface M id Bottom

051 7 62 35 60 4 60 4

06 12 54 67 59 9 51 1 0720 45 97 34 9 32 4 0835 36 16 34 9 0920 29 82 29 8 29 2 1020 6 1 73 60 5 60 5 1 1 25 73 84 71 3 68 8 1232 71 73 68 0 68 0 1323 80 97 79 7

1409 52 85 51 8 51 6 1539 79 36 73 0 73 6

87 77 85 2 87 8 1 742 65 67 66 9 65 7

1848 69 83 67 3 68 6 1953 82 53 78 7 77 5 2040 82 53 80 0 76 2 2 142 94 38 95 6 95 6 2230 84 3 1 83 1 80 5 2327 69 2 1 7 1 7 57 9 2420 88 08 47 8 85 6 0127 1 13 25 109 5 107 0 03 18 56 42 56 4 56 4 0358 44 89 44 3 49 3 0439 4 1 00 44 9 37 4 0535 45 52 46 1 42 4

0624 45 10 42 2 4 1 6 0742 25 95 24 9 24 9 0850 21 0 1 1 7 3 0926 29 66 26 0 26 0 1036 54 67 61 5 58 4 1 145 69 83 68 0 59 9 1 25 1 7 5 50 70 5 1340 88 56 84 3

14 19 74 04 66 6 69 2 1 5 14 101 20 101 2 7 5 6 1 6 18 1 14 22 93 7 75 7 1 7 16 83 42 80 8 83 4

DAY

N IGHT

DAY

Tabl e SA conti nued

Run Stat i on

5 1 0 6 10 7 1 0 8 1 0 9 1 0

1 0 1 0 1 1 1 0 1 2 10 1 3 10 14 10 1 5 1 0 1 6 1 0 1 7 1 0

1 8 1 0 19 10 20 1 0 2 1 1 0 22 10 23 1 0 24 10

1 1 1 2 1 1 3 1 1 4 1 1

5 1 1 6 1 1 7 1 1 8 1 1 9 1 1

1 0 1 1 1 1 1 1 1 2 1 1 1 3 1 1 1 4 1 1 1 5 1 1 1 6 1 1

1 7 1 1 18 1 1 19 1 1 20 1 1

Percent Saturat i on - Di ssol ved Oxygen T ime Surface Hi d Bottom

18 15 1 12 73 103 8 76 9 192 1 83 27 87 1 79 4 201 7 76 86 76 6 75 3 2 1 1 3 54 60 53 3 57 5 2207 41 68 54 6 50 8 2305 52 06 58 8 53 8 2355 57 14 69 8 60 9 0057 1 04 63 1 03 4 1 02 1 0247 79 28 89 8 92 4 0338 54 87 57 9 57 3 041 8 52 38 54 1 55 4 0508 5 1 59 49 1 49 7 0605 45 97 44 9 45 1

07 1 2 48 46 48 6 5 1 3 0828 59 02 49 9 09 1 2 64 22 59 9 5 1 1 10 10 79 8 1 47 4 36 2 1 1 12 1 13 86 53 6 44 9 1 220 142 1 7 73 0 59 1 1 3 16 132 52 36 3

1455 102 1 2 66 4 67 0 1 528 1 08 89 76 6 76 6 1641 1 10 1 7 73 0 64 1 1 732 1 1 5 29 84 5 83 3

82 53 87 1 84 5 1938 83 80 80 0 76 2 2029 69 83 73 6 7 1 1 2130 7 1 10 70 2 70 2 2220 64 75 63 5 62 2 23 18 74 51 69 8 59 4 2408 78 02 74 4 75 6 0 1 16 89 34 86 8 80 5 03 1 0 52 66 54 1 55 4 0350 47 02 46 6 50 3 0430 45 30 44 0 44 0 0524 37 07 36 8 37 5

061 7 34 60 33 5 37 4 0729 50 94 5 1 1 53 0 0841 72 69 64 2 0926 80 76 67 1 6 1 5

N IGHT

DAY

N I GHT

DAY

Tabl e SA con t i nued

Run Stati on

2 1 1 1 22 1 1 23 1 1 24 1 1

1 1 2 2 1 2 3 1 2 4 1 2

5 1 2 6 1 2 7 1 2 8 1 2 9 1 2

10 12 1 1 1 2 1 2 1 2 1 3 1 2 1 4 1 2 1 5 1 2 16 1 2

1 7 1 2 18 12 19 12 20 12 2 1 1 2 2 2 1 2 23 1 2 2 4 1 2

Percent Saturat ion - D i s sol ved Oxygen Ti me Surface Mid Bottom

1 026 89 79 7 1 1 59 9 1 13 1 174 22 1 00 7 85 1 1 238 201 84 93 6 84 3 1329 183 50 80 5

1 433 56 93 27 9 24 1 1 546 82 53 71 5 52 1

10 1 76 57 1 50 8 7 1 98 62 2 5 0

1 857 58 41 55 9 55 9 1957 60 40 59 1 60 4 2045 56 73 63 5 8 8 2 148 99 41 87 1 40 3 2234 49 52 49 5 37 8 2333 78 02 65 4 37 8 2426 72 98 69 2 26 4 0133 91 86 94 4 50 3 0322 5 1 13 49 9 1 1 3 040 1 44 73 44 3 1 2 5 0443 32 3 1 33 7 30 0 0542 29 3 1 28 7 27 4

0629 34 60 3 1 1 28 7 0746 1 3 67 9 0855 19 77 8 7 094 1 19 77 1 6 1 6 2 1045 86 36 27 3 43 5 1 150 1 16 39 44 7 36 0 1 255 80 28 29 9 1344 1 30 38 62 0

NI GHT

DAY

Table 6 5

surface

Midlle

Bottan

X

Sd

Die net production (P i = 00 CNer 24 hrl for each station expressed as parts per millim dissolved equivalent to an oxygen per m3 of water) bull

Harvest Area Olntrol Site Oerall

7 8 9 S d 10 11 12 S d S d

-0 4 0 5 2 8 0 96 1 65 4 6 6 0 1 8 4 1 2 1 2 5 2 4

-3 8 -0 1 1 3 -0 87 2 64 -0 3 0 9 2 6 1 1 1 5 0 1 2 2

0 3 0 5 2 6 1 13 1 27 -2 5 1 2 0 5 -0 3 2 0 04 1 7

-1 3 0 3 2 2 0 4 1 9 0 6 2 7 1 6

2 2 0 3 0 8 3 6 2 9 1 1

Table 6 6 Dlytime net productioo (00 sunrise to sunset) tqgt ani net night time respiratioo (00 sunset to sunrise) bottan for eadl statioo expressed as IPD productionutilization

Harvest Area CCXltrol site OVerall

7 8 9 X S d 10 11 12 S d x S d

surface 3 1 2 5 4 4 3 3 1 0 7 0 12 0 5 2 8 1 3 5 5 7 3 5

Miane -03 2 2 2 9 1 6 1 7 2 1 4 6 5 2 4 0 1 6 2 8 2 0

Bottan 3 6 2 8 4 4 3 6 0 8 0 1 4 7 -1 3 1 2 3 1 2 4 2 4

x 2 1 2 5 3 9 2 8 1 4 3 1 7 1 3 0 4 4 3 9 3 6 3 0

S d 2 1 0 3 0 9 3 6 4 2 3 8

Net Night Time Respiration

Harvest Area Cbntrol site OVerall

7 8 9 Sd 10 11 12 x Sd S d

surface -3 5 -2 0 -1 6 -2 4 1 0 -2 4 -6 0 -3 4 -3 9 1 9 -3 2 1 6

Miane -3 5 -2 3 -1 6 -2 5 1 0 -2 4 -3 7 -2 6 -2 9 07 -2 7 0 8

Bottan -3 3 -2 3 -1 8 -2 5 0 8 -2 6 -3 5 1 8 -1 4 2 8 -2 0 1 9

x -3 4 -2 2 -1 7 -2 4 0 8 -2 5 -4 4 -14 -2 8 2 0 -2 6 1 5

Sd 0 1 0 2 0 1 0 1 1 4 2 8

Table 6 7 Estimates of gross primary production () for each station

Harvest Area COntrol site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -3 9 -1 5 1 2 -1 4 2 3 2 1 0 0 -1 6 0 5 1 6 -07 2 2

Middle -7 3 -2 4 -0 3 -3 3 3 6 -2 7 -2 S 0 0 -l o S 1 6 -2 6 2 6

Bottan -3 0 -l o S O S -1 3 1 9 0 0 -2 3 2 3 0 0 2 3 -07 2 0

-x -4 7 -1 9 0 6 -2 0 2 6 -0 2 -1 7 0 2 -0 6 1 9 -1 3 2 3

S d 2 3 0 5 O S 2 4 1 5 2 0

Table 6 8 Estimates of total respiration for a 24 hem period for each amptatioo

Harvest Area Control site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -7 0 -4 0 -3 2 -4 7 2 0 -4 S -12 0 -6 S -7 9 3 7 -6 3 3 2

Middle -7 0 -4 6 -3 2 -4 9 1 9 -4 S -7 4 -5 2 -5 S 1 4 -5 4 1 6

Bottan -6 6 -4 6 -3 6 -4 9 1 5 -5 2 -7 0 3 6 -2 9 5 7 -3 9 3 4

-x -6 9 -4 4 3 3 -4 S 1 6 -4 9 -S S -2 S -5 5 4 1 -5 2 3 0

Sd 0 2 0 3 0 2 0 2 2 S 5 6

c=J H A R V E S T I N G T R A N S E C T S

11 E X F E R I M E N T A L T R A N S E C T S

A F F R O X I M A T E W E E D L I N E

I

t middot

I I I I I I I I 1 5

gt-[ 0 r- 0 Z I LU J LU deg 1 00 o a CIl I IU 0 O LU 0( W J X IJ deg I

LAKE OKEECHOBEE

o rum 9 i

-

N O R T H L A K E

S H O A L

F i g ure 6 1 Loc a t i on o f s i x s ta t i on s s amp l ed for commu n i ty meta bo l i sm

5 2 o l c nso on y L e l i cr th ud te o

D i s s o l ve d O xyg e n - S u rfa c e 1 6---------------------------------------------------------- H a rvested

Veg etated

1 2

4

0 0 0 0 0 0 0 0 0 0 0 0 N 00 I) -- N 0 0 -

Ti m e

Figure 6 3 Surface oxygen values over the 2 4 hour mon itoring period for a l l s ix mon itoring stat ions

D i s s o lv e d O xyg e n - Botto m 1 0-----------------------------------------------------------

8

6

4

2

a a a CI

a a CI a

Ti m e

a a co a

a a I) -

H a rvested

Veg etated

Figure 6 4 Bottom dissolved oxygen values over the 2 4 hour monitoring period for a l l s ix mon itor ing s tat ions

M e a n D i s s o l v e d O xyg e n 1 2--------------------------------------------------------

1 0

8

CJ1 6 E

4

2

0 0 0 0 0 0 0 0 0 0 0 r 0 N to I) - N 0 0 -

Ti m e

H a rvested

Veg etated

F igure 6 5 Mean surface d i ssolved oxygen for harvested versus control stat i ons

VII SEDIMENT CHEMI STRY

V I I A INTRODUCTION

Analyses of nutri ent content of the sed i ments of lake Okeechobee

i nd i cate that more than 35 of the phosphorus and more than 20 of the

n i trogen l oad to the l ake rema i ns wi thi n the l ake e i ther i n the

sed i ments or i n assoc i at i on wi th bi ol og i cal materi al wh i ch contri butes to

the detri tal port i on of the sed i ments Trans fer of water col umn

phosphorus to sed i ment appears to be extremely rap i d i n shal l ow areas

wi th more than 50 of amounts added to the water be i ng sequestered by

sed i ment wi th i n 10 days

Ut i l i zati on of sed i ment nutri ents has been demon strated for rooted

submerged macrophytes For phosphorus uptake by Euras i an mi 1 fo i l i n

part i cul ar sed i ment uptake i s preferent i al unt i l water col umn

concentrat i ons exceed a threshol d val ue Sed i ment chemi stri es may

demonstrate measurabl e d i fferences i n areas where Hydri l l a has been

harvested and i s act i vel y regrowi ng al though these changes i f detected

s houl d be sl i ght i n rel ati on to bul k concentrat i ons and shou l d remai n

fa i rly l oc al i zed

Basel i ne sed i ment anal ysi s i s underway to asses s the comparabi l i ty

of control and harvested areas and can resol ve questi ons about gross

vari ati on s i n substratum that coul d substant i al l y affect regrowth of

Hydri l l a The same n i ne (9 ) control stat i ons i denti fi ed i n the water

qual i ty task are be i ng sampl ed together wi th three ( 3 ) stat ions i n the

experi mental transect

V I I B METHODS

V I I I B 1 Sampl i ng

The Basel i ne and Fi rst Post Operat i onal tasks of sed i ment

chemi stry were conducted concurrentl y on November 2 1987 between 0830

and 1600 hrs Duri ng thi s sampl i ng effort there were NE wi nds of 1 5 -

7- 1

20 kts a 2 ft chop i n exposed areas ( Stat i on 13 ) and i ntermi ttent ra i n

squal l s throughout the day

Core sampl es were col l ected i n tr i pl i cate to permi t stat i st i cal

ana l yses from each of 12 stat i ons ( F i gure 7 1 ) u s i ng a boat operated

p i ston - type corer approx imately 7 6cm i n d i ameter equ i pped wi th a check

val ve to rel ease overl yi ng water and a serrated edge to penetrate the

detri tal l ayer ( F i gure 7 2 ) Maxi mum core depth was 20 -25 cm as a very

hard substratum was encountered bel ow 15-20cm of sed i ment Al l cores

penetrated to a sed i ment depth of at l east 1 5cm Us i ng a Beckman 21 i n

1i1Y meter and an i on - spec i fi c probe oxi dat i on -reduct i on potent i al was

measured through ports i n the sampl er at 2cm Scm and 1 5cm hori zon s

wh i l e the sed i ment remai ned i n the corer After measurement of redox

potent i al s the sed i ment was extruded i nto a pl ast i c tub Promi nent

hori zons were noted and any overl y i ng detr itus and rh i zomes were removed

The sed i ment above 15cm was then wel l m i xed transferred to pol yethyl ene

conta i ners and ma i ntai ned on i ce for transport to MML

VI I B 2 Anal Ys i s

A total of 36 cores were processed Total Kje ldahl n i trogen and

total phosphoru s were anal yzed from the f i el d-mo i st sampl es (ma i nta i ned

at 40C ) w i t h i n one week of col l ect i on Methods uti l i zed were from Pl umb

( 1981 ) Kjel dahl d i gest i on i n a bl ock d i gester of 0 5 -2 0g of sed i ment

was fol l owed by sampl e reconsti tut i on automated d i l ut i on and

col or i metr i c determi nat i on of ammoni a and phosphate by Techn i con

AutoAnal yzer I I The resul tant n i trogen and phosphoru s concentrati ons

were converted to a dry we i ght bas i s u s i ng percent mo i sture

determi nat i ons and d i gested sampl e we i ghts

Percent mo i sture was determi ned on al l sampl es al so accord i ng to

methods g i ven in the above reference Sampl es were dri ed at 103 - 1050C

and the dri ed mater i al empl oyed i n percent organ i cs and potass i um

anal yses Procedures for the potass i um anal ysi s are deri ved from the

AOAC Methods of Anal ys i s 13th Ed i t i on 1 980 Less than L Og of dri ed

ground sed i ment was d i gested wi th perchl ori c and hydrofl uor i c ac i ds

d i l uted and anal yzed by atom i c absorpti on

7-2

Gra i n s i ze anal yses were performed on the sed i ment fract i on and

i ncl uded dry s i ev i ng through whol e phi s i ze s i eves together wi th p i pette

anal ys i s and s i ze fract i onat i on of the ltO 063nvn materi al Gra i n s i ze

d i stri but i ons and descri pt i ve stat i st i cs (mean med i an gra i n s i ze

sort i ng skewness and kurtosi s ) were cal cul ated

VI I C INTERIM RESULTS AND DISCUSSION

Tabl es 7 1 l i sts stat i on means of sel ected parameters for sed i ment

sampl es col l ected on November 2 1987 Append i x 7A conta i n s al l

i nd i v i dual anal yt i cal resul ts Al l resul ts are on the basi s of dry

we i ghts and gra i n s i ze i n format i on i s presented i n ph i un i ts ( the

negat i ve l og base 2 of the part i cl e d i ameter i n mi l l i meters )

Measurements of oxidat i on -reduct i on potent i al ( ORP) were corrected to a

standard hydrogen el ectrode and appear i n mi l l i vol t s

Sed iments across the study s i te were remarkabl e for the

heterogenei ty between stat i on s and to onl y a sl i ght1y l esser degree

between the repl i cates at a s 1 ngl e stat i on I n phys i cal appearance

i nd i v i dual sampl es ranged from a dark organ i c and sl i ght ly gel at i nous

con s i stency ( Stat i on 1 2 ) to a grey fi ne textured cl ay s i zed materi al

(Stat i on 2 ) A shel l hash was al so observed in a d i screte l ayer bel ow 15

cm at Stat i on 1 6 Not al l stat i on s or even al l repl i cates at a stat i on

conta i ned v i s i bl e hori zons Root fragment s were present i n many core

sect i on s typi cal l y above 5 cm The detri tal l ayer of unconsol i dated

decompos i ng but recogn i zab1 e vegetat i on fragments was general l y 1 ess

than 2 cm t h i c k and was absent approximately 50 of the t i me The

predomi n ant materi al at the s i t e coul d be descri bed as a fi ne textured

dark grey or brown sand s i zed fracti on Tabl e 7 2 l i sts the cores and

qual i tat i ve fiel d notes descri bi ng them

Intra- stat i on vari at i on i s al so apparent i n the ORP data large

standard dev i at i ons make the detect i on of d i fferences between stat i ons

d i ffi cul t because a d i fference between means of over 200 mv i s requ i red

before stat i ons cou l d be con s i dered to be s i gn i fi cant l y d i fferent at any

one dept h Cons ideri ng the s i te as a whol e average potent i al s at 2 5

and 1 5 cm were 1 22 95 and 83 mv respect i vel y Sul fi des were present i n

7 - 3

some sampl es ( qual i tat i ve determi nat i on ) predomi nant l y those wi th

v i s i bl e vegetat i on fragments

Combi ned resul ts from the study s i te i nd i cated sed iments conta i ned

approximate l y 4 fi ne sand ( 0 1 25 to 0 25 mm part i cl e s i ze d i ameter) and

20 very fi ne sand ( 0 0625 to 0 125 mm di ameter) by we i ght Sampl es

averaged s l i ghtly over 3 s i l t-cl ay content ( l ess than 0 0625 mm

d i ameter) wi th Stat i ons 2 1 5 and 1 2 havi ng more than 10 s i l t -c l ay

Percent organ i c content (determi ned by i gn i t i on ) was typi cal l y l ow

averag i ng 0 7 wi th most repl i cates between 0 3 and 1 0 Stat i ons 2

1 2 1 3 1 5 and 1 6 had more than 1 organ i c content and Stat i on 1 3 had

1 6 organ i c content

Al most 6 of the sed iment was i n granul es ( l arger than 2mm) Mean

and medi an part i cl e s i ze expressed i n phi un i ts were 2 28 and 2 3 5

respect i ve l y As a whol e sampl es were moderatel y t o poorly sorted

( st andard dev i ati ons were h i gh ) and sort i ng coeffi c i ents were between

0 70 and 2 00 In compl ement measures of kurtosi s ( the degree of spread

i n the t ai l s of i nd i v i dual frequency di str i but i on s ) averaged 1 27 Most

i nd i v i du al sampl es ranged between 1 00 and 1 40 wh i ch i s normal to

1 eptokurt i c Di stri but i ons contai ned a sl i ght excess of fi ne materi al and

an average skewness coeffi c i ent of -0 03 I nd i vidual skewness val ues

were predomi nantl y between -0 10 to 0 10 ph i Percent mo i sture averaged

approxi mately 25 and was s l i ght ly h igher at those stat i ons wi th hi gher

percent organ i c content ( Stat ion 12 and 13 contai ned 34 and 30 moi sture

respect i vely)

Total phosphorus content of the sed iments was not excess i ve and

averaged 0 08 mgg across the study s i te Analyses of vari ance detected

no s i gn i fi cant d i fferences between stat i ons for total phosphorus content

e i t her by stat i ons or by treatments Vari abi l i ty between stat i on

repl i cates requi red stat i on means to d i ffer by over 0 07 mgg before

d i fferences were s i g n i fi cant The hi ghest stat i on means were sl ight1 y

greater than 0 1 mgg at Stat i ons 1 1 2 and 13 wh i l e at Stat i ons 8 and 9

concentrati ons were both l ess than 0 06 mgg

Total Kjel dah1 n i trogen al so di spl ayed the same heterogenei ty as

other sed iment parameters The s i te average of 0 27 mgg compares

unfavorabl y wi th the 0 45 mgg requi red for s i gn i fi cant stati on to

7-4

stat i on d i fferences Desp i te th i s several stat i ons d i d exh i bi t

d i fferences Stat i ons 1 2 and 1 3 be i ng s i gni fi cantly h i gher than many

others wi th 0 66 and 0 64 mgg respect ivel y (These two stat i ons were

the same two contai n i ng the h i ghest percentages of organ i cs ) Stat i ons

8 9 10 and 11 al l had concentrat i ons l ess than 0 1 5 mgg al though no

d i fferences were attri butabl e to harvest i mpacts

Potas si um content averaged 0 49 mgg across the s i te wi th Stat i on

1 3 be i ng noteworthy for l evel s of 1 28 mgg Val ues be l ow 0 4 mgg were

recorded at Stati ons 2 3 1 1 and 16 Only Stat i on 13 was s i gn i fi cantly

d i fferent and from al l rema i n i ng stat i ons To be s i gn i fi can t stat i ons

means needed to d i ffer by 0 35 mgg or greater due to the wi th i n stat i on

vari abi l i ty

N i trate -n i tri te -n i trogen content of the sed iments was ch i efl y

remarkabl e for the extremely l ow l evel s The average contri but i on t o the

total n i trogen profi l e was l ess than 0 4 and the hi ghest concentrat i on

observed at Stat i on 8 was onl y 0 001 mgg or about 1 of the total

Stat i on 8 was s i gn i fi cant l y d i fferent from 2 7 and 1 0 but no

d i fferences attri butabl e to treatment were apparent

Rat i os of sed i ment total n i trogen to total phosphorous (TN TP)

were cal cul ated on a we i ght to we ight bas i s and stat i on means are

presented i n Tabl e 7 3 Stat i on means ranged from 1 7 to 6 1 ( s i te

average of 3 1 ) i n compari son to water col umn TN TP rat i os of

approxi matel y 17 (Sect i on I V WATER QUALITY IMPACTS ) over the course of

the study and vegetat i on rat i os (Sect i on I I I BIOMASS ) of approxi matel y

1 1 Those stati ons wi th the hi gher percentages of organ i cs al so recorded

h i gher TN TP rat i os The i mpl i cat i on i s that n i trogen i s preferent i al ly

mobi l i zed from the sed iments ei ther by preferent i al uptake of the

i norgan i c n i trogen decompos i t i on products or by the more refractory

nature of phosphorous Th i s i s i n compl ement to the n i trogen - l imi tat i on

apparent i n the water col umn at the study s i te

VI I D QUALITY ASSURANCE

Tabl e 7 4 deta i l s the prec l s l on and accuracy resul ts obtai ned

duri ng the anal ys i s of sed i ment from Lake Okeechobee Al l data sets were

7 - 5

generated wi th suffi c i ent numbers of dupl i cates and sp i ke recoveri es

wi th i n the target l i mits spec i fi ed

VI I E CONCLUSIONS AND RECOMMENDATIONS

Sed iments i n the study area were extremely heterogeneous both

between and wi th i n stat i ons In phys i cal appearance these ranged from a

fi ne-gra i ned grey cl ay to a gel at i nous organ i c materi al The overl yi ng

detr i tal l ayer ( not i ncl uded i n chemi cal analyse s ) was typ i ca l l y l ess

than 2 cm th i ck i f present As a resu l t of wi th i n stati on vari at i on few

s t at i on - to - s t at i on d i fferences were judged to be stat i sti cal l y

s i gn i fi cant

Ni trogen phosphorous and organ i c contents were l ow overal l and

fi ne to very fi ne sands were the predomi nant sedi ments s i zes

Phosphorous content averaged 0 08 mgg (dry wei ght ) and n i trogen content

averaged 0 27 mgg N i trate-n i tri te content of the sed i ments represented

l ess than 1 of the total present Potass i um content averaged 0 49 mgg

Stat i ons contai n i ng h igher percentages of organ i c s were al so those

el evated for n i trogen content ( Stat i ons 12 and 1 3 ) Sed i ment averages of

total n i trogen phosphorous rat i os were only sl i ghtl y over 3 0 i n contrast

to water col umn TN TP rat i os averag i ng 17 and b i omass TN TP rat i os of 1 1

Th i s wou l d i mp ly that n i trogen i s e i ther ut i l i zed preferent i al l y andor

that phosphorou s i s more refractory As the water qual i ty i mpacts

sect i on of th i s report found the water col umn to be n i trogen-l i mi ted

based on i norgan i c d i ssol ved nutri ent spec i es the assumpt i on i s that the

n i trogen compounds rel eased by decompos i ng organ i c matter i n the

sed i ments are rapi dl y uti l i zed

Because sed iment heterogene i ty prevented detect i on of sed i ment

chemi stry di fferences between harvested and control areas and because

n i trate -n i tri te-n i trogen represented such a smal l fracti on of the total

present recommendati ons i ncl ude a) i ncrease the col l ect i on of sed i ment

cores from three ( 3 ) to fi ve ( 5 ) b) ana1 yzi ng total Kje 1dah1 n i trogen

and total phosphorus on l y on the two add i t i onal cores Thi s i ncrease i n

rep1 i cates per stat i on shoul d permi t detect i on of d i fferences at l ower

concentrat i on s and could be coupl ed wi th vegetat i ve surveys for

7 - 6

i nformati on on regrowth The support for th i s proposed effort coul d be

obta i ned by del et i on of oxidat i on -reduct i on potent i al and n i trateshy

n i tri te - n i trogen determi n at i on s at al l stat i on s

7 - 7

Table 7 1 Sediment dlemisby station means Lake OksectdJee NovElJi)er 1987

Total Nitrate- Median Kjeldahl Nitrite Total Grain emgt emgt emgt Nitrogen NitJt)gen Hlosphorus kJtassium Size silt-

STATIOO (Dgq) (Dgq) (Dgq) (Dgq) ltJisture organics (pU) Clay 2an SaD 15aD

1 0 24 0 0008 0 11 0 59 25 7 0 5 2 72 2 5 - 7 12 41

2 0 16 0 0003 0 06 0 39 22 1 1 1 2 4 5 15 2 124 96 84

3 0 19 0 0006 0 07 0 38 23 9 0 5 1 93 1 6 201 184 115

7 0 23 0 0003 0 09 0 45 20 1 0 6 1 73 2 1 214 215 -145

8 0 11 0 0012 0 05 0 28 22 5 0 3 2 47 1 4 85 28 48

9 0 09 0 0006 0 05 0 42 23 5 0 2 2 58 0 9 104 65 81

10 0 14 0 0003 0 07 0 49 23 2 0 4 2 42 0 6 151 135 181

11 0 11 0 0008 0 05 0 33 22 9 0 3 2 44 0 6 69 38 38

12 0 66 0 0007 0 12 0 47 34 0 1 2 2 46 5 9 85 90 110

13 0 64 0 0008 0 11 1 28 30 6 1 6 3 01 3 5 110 112 8

15 0 25 0 0005 0 10 0 44 24 8 1 0 1 76 7 1 116 51 49

16 0 42 0 0008 0 07 0 35 26 6 0 8 2 25 2 3 209 112 92

Table 7 2

STATION

1

2

3

7

8

9

10

11

12

13

15

16

Sediment core descriptions lake Okeecbdlee Naveniler 1987

REPLICATE

1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J

CDRE DESCRIPIIONS

lBrk in oolor m horizaS t UI1CXlnSOlidated lBrk in oolor m horizaS t UI1CXlnSOlidated ptrk very urplOSOlidated gray sani below 7 gn lBrk in oolor gray clay below 15 5 an roots tubers lBrk in oolor gray clay below 12 an roots tubers [)ark in oolor gray clay below 12 an roots tubers bull

lBrk in oolor m visible horizons lBrk in oolor 5 an horizal roots tubers ptrk in oolor 5 an horizCl1 roots tubers bull lBrk IIDre sani below 6 an lBrk DDre sand below 6 an [)ark JrPre sand below 6 an bull

lBrk brown sand darker in oolor below 5 an lBrk brown sani horizal at 3 an [)ark brown sani horizon at 3 an bull lBrk brown sand gray sand below 6 an roots lBrk brown sand gray sam below 6 an roots ptrk brown sam gray sanl below 6 en roots bull

lBrk sand light colored sam below 7 an fBil roots

lBrk sand light colored sand below 7 an fBil roots [)ark sani light oolored sam below 7 an fBil roots bull

lBrk sediment lighter color below 3 an roots

lBrk sediment lighter oolor below 3 an roots

[)ark sedilrent lighter color below 3 an roots bull Very UI1CXlIIlSOlidated dark sediment gelatinous medium sand below 6 an Very UI1CXlIIlSOlidated dark sec1iment gelatirxlus neiium sand below 6 an Very urpJlSOlidated dark sec1iment gelatinous medium sani below 6 an bull lBrk sediment horizon at 10 an lBrk sediment horizon at 2 an arrl 10 en

Icxsely packed no horizons bull Ioosely packed no horizons lBrk sediment sand horizal 5-10 an gray clay below 10 an ptrk sediITent sand horizon below 5 an gray Clay below 15 an bull Dllk sand lighter sarrl below 8 an roots

No horizons Dirk sarrl lighter sarrl below 5 an shell hash below 15 an roots bull

Tabl e 7 3

Stat i on

1

2

3

7

8

9

10

1 1

1 2

13

15

16

Sed i ment total n i trogen total phosphorus rat i o s Lake Okeechobee November 2 1987

TN TP

I SO

2 4 1 0

2 6 0 7

3 0 1 2

2 4 0 7

2 0 1 5

1 7 0 5

2 0 0 8

2 2 0 5

5 3 1 6

6 1 3 9

3 1 2 2

6 0 1 4

Table 7 4 sediJnent analyses quality assurarxe targets am results Lake Okeecildlee

Precisian Aauracy Precision Aauracy PARAMErER (x RSO SO) (x RSO SO) (n 2 RSO SO) (n 5( RSO SO)

Total Kjeldahl Nitrogen 8 12 100 9 9 9 8 7 1 6 103 9 5 7

Total IbosJtlOros 7 8 104 12 6 9 3 4 3 6 100 0 5 4

Rgttassium 7 5 100 9 5 5 1 4 8 5 88 1 6 3

Percent loklisture 2 1 6 2 0 1 5

Mean Grain Size 5 3 6 5 6 7 1

Percent Organics 5 3 5 1 7

Percent Siltltlay (pipette analysis) 6 15 0 2 9

10 H A R V E S T I N G T R A N S E C T S

1=== 1 E X P E R I M E N T A L T R A N S E C T S

A P P R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

1

D r n 1 a l e i I U I

lii I

11 middot 5 I I I I

- 1 3

I I r= I

- -- 1 6

N O R T H L A K E

S H O A L

gt- deg 0 zl w =gt w 0 1 III 0 0 ClJ I W 0 o LIJ laquo W J I yen

() 0

1CAl( J bullbull

_ bull Jr-= - _ _ _w _ bull bull -_ bull bull -- u middot _ bull w _ _ raquo -- -

F i gu re 7 1 Sed iment c hemi s try s ta t i o n l ocati o ns November 2 19 87

______ p v C Handle

____ Handle bolt

Valve release

_J4-______ Flapper valve

F i gu re 7 2 Sedi men t cori ng dev i ce

_---- O5mm mesh

--__ -Epoxy sealer

1Jt--______ 75 em aluminum pipe

V I I I BENTH I C FAUNA IMPACTS

VI I I A INTRODUCTION

Benth ic macrofauna ( an i mal s reta i ned on a O Snvn s i eve) can be

separated i nto two bas ic components 1 ) epi fauna con s i st i ng of the

organ i sms l i v i ng on the surface of the substratum and the surfaces of the

macrophytes and detri t al materi al l y i ng on or attached to the substratum

and 2 ) i n fauna con s i st i ng of the organ i sms l i v i ng wi th i n the confi nes of

the substratum The epi fauna of freshwater systems pr i mari ly cons i sts of

mot i l e and sess i l e i n sect s (predomi nantly l arvae) crust aceans and

ga stropod s Ot her groups such as Pl atyhel mi nthes ( fl atworms )

Coel enterata ( hydro i d s ) Pori fera ( sponges ) and H i rud i nea ( l eaches) may

al so be present al though i n fewer numbers The i n fauna are general l y

domi nated by ol i gochaetes i n sect l arvae b i val ve s and cru staceans

Spec i es composi t i on of the benth ic communi ty i s dependent on substrate

type presence or absence of macrophyte s l evel of detri tus and organ i cs

and water qual i ty

Wh i l e there i s l i ttl e i n format i on concern i ng d i rect effects of

phosphoru s n i trates and n i tr i tes on benth i c organ i sms gross organ i c

pol l ut i on ( eutroph i cat i on ) i mpoveri shes the l i ttoral fauna of l akes

Spec i e s of Chi ronomi dae Psychod i dae Cul i c idae and Ol i gochaeta often

predom i n ate under such cond i t i on s whereas spec i es of Tri choptera

Ephemero pte a and other groups typ i cal of unpol l uted cond i ti ons are

usual l y absent ( Resh and Rosenberg 1984 ) The aquat i c vegetat i on i n

normal unpol l uted l akes i s an important source of pri mary product i v i ty

and habi tat for aquat ic i n sects and other i nvertebrates

Benth i c fauna pl ay an i mportant rol e i n the normal breakdown of

detri tal materi al s suppl i ed from both terrestri al and aquat i c sources

I n turn they prov ide an abundant and d i vers i fi ed source of prey i tems

for secondary and terti ary consumer organ i sms such as fi sh frog s

turtl e s crayfi sh etc many o f wh i ch are commerci al l y i mportant to man

Excess i ve amounts of detri tu s as from aquat i c weeds s i gn i fi cantly al ter

the normal benth ic fauna i n favor of spec i es tol erant of l ow l eve l s of

d i s sol ved oxygen h i gh l evel s of fi ne part i cul ates and el evated organ i c

8- 1

compos i t i on The benth i c fauna of Lake Okeechobee general l y exh i bi t l ow

d i vers i ty the domi nant organi sms be i ng ol i gochaetes i nsect l arvae

amph i pods and the pel ecypod Corbicyl a (Dav i s and Marshal l 1975) It i s

expected that both short and l ong term al terat i ons of the benth ic

epi fauna and i nfauna wi l l contri bute to the eval uati on of the success or

fa i l ure of the experi mental treatments ( e g weed harvest i ng) of thi s

study

Chi ronomi d assembl ages have been found to be useful i nd i c ators of

troph i c cond i t i ons and have been used to cl ass i fy l akes ( Saether 1975

1979 ) Warwi ck ( 1980 ) has ass i gned troph i c i ndex numbers to ch i ronomid

assoc i at i ons These assoc i at i ons have been correl ated wi th mean

concen t r at i o ns of tota l phos phorusmean depth or wi th total

chl orophyl l mean depth i n many North Ameri can and European l akes

(W i derhol m 1979 1980 Saether 1980 ) Some aquat i c ol i gochaete spec i es

are al so known to be i nd i cators of substratum and water qual i ty

( Bri n khurst and Jamieson 197 1 ) Spec i es of Tubi f ic i dae are part i cul arl y

cORlllon i n sed i ments exh i bi t i ng h i gh organ i c content and l ow d i ssol ved

oxygen l evel s

V I II B METHODS

V I I I B 1 Study Locat i onExperi mental Design

The experi mental des i gn for the study of benth i c i mpacts i s based

upon compari son of control versus impacted stat i ons Three control

stat i ons were l ocated adjacent to the experimental transect and study

areas ( F i gure 8 1 ) The control stat i ons are essent i al for separat i ng

spat i al and temporal vari at i ons from experimental i mpacts An earl y MML

reconna i ssance survey i n Apri l 1987 i nd i cated the sed i ments of the study

area were rel at i ve ly homogeneous cons i st i ng of fi ne fl occul ent muddy

sands wi th l arge amounts of detri tal materi al Subsequent deta i l ed

sampl i ng efforts have i nd i c ated greater spat i al vari at i on i n sed i ment

types Di ver observat i on s however i nd i cate that the surface sed i ments

( I - Scm) for al l benth i c stat i ons except 12 are general l y s i mi l ar i n

8- 2

texture and appearance These d i fferences are d i scussed 1 ater i n the

report

Basel i ne Study

On August 24 1987 10 days pri or to the actual cutt i ng of the

experimental transect the benth i c stat i on l ocati ons were confi rmed and

sampl ed for basel i ne cond i t i ons A total of 72 s ampl es were col l ected

for macrobenthos and 48 were processed No Hester-Dendy sampl es were

col l ected at thi s t ime

Post -Operat i onal

On September 18 1987 one day after the experi mental transect was

h arvested the fi rst post -harvest benth i c s ampl i ng took pl ace S i nce

weed harvest i ng was expected to exh i bi t the most pronounced effects on

the benthos shortly after harves t stat i ons wl l l be s ampl ed at compl et i on

( t i me 0 ) then agai n at 2 4 6 1 2 1 8 and 24 weeks post-harvest No

gra i n s i ze or percent organ ics sampl es wi l l be taken at these t i mes The

sampl i ng reg i me and rel at i ve age of the stat i ons for each sampl i ng are

i l l ustrated i n F igure 8 2

Hester-Dendy s ampl ers pos i t i oned i mmed i atel y after harvest were

co 1 1 ected at each samp 1 i ng and fresh ones depl oyed at each subsequent

sampl i ng

A second harvest was conducted i n December 1 987 Two add i t i onal

sampl i ng l ocati ons 7A and lOA were establ i shed between stati ons 7 and 8

and 10 and 1 1 respect i vel y for poss i bl e add i t i onal eval uat i on

VI I I B 2 F i el d Col l ect i ons

An i m portant cons i derat i on for properl y sampl i ng benth i c

commun i t i es i s the type o f s ampl i ng dev i ce used Many types o f devi ces

are currentl y i n use and the i r meri ts and drawbacks have been eval uated

(Hol me and Mc Intyre 1984 Pennak 1953 Thayer et al 1975 Tyl er and

Shackl ey 1978 ) Many stud i es have focused excl u s i vel y on the

effect i veness of certai n s ampl ers or have made s i de by s i de compari sons

of several d i fferent sampl ers (Chri st i e 1975 Paterson and Fernando

8-3

1971 Mi l bri nk and Wi ederhol m 1973 ) Cori ng devi ces are presently

con s i dered the most appropri ate method for shal l ow water sampl i ng be i ng

repeated l y quant i tati ve wi th a h i gh l evel of prec i s i on for a vari ety of

bottom types both vegetated and unvegetated Recent l y a comprehen s i ve

compari son of three d i fferent s i zed benth i c corers i nd i cated that

rel ati vel y smal l d i ameter cores are most effi ci ent in sampl i ng benth i c

macrofauna ( Lewi s and Stoner 1981 ) I n contrast most 1 i ghtwei ght

grabs i ncl ud i ng the pet i te Ponar grab (commonl y used i n Fl ori da

freshwater stud i es ) do not penetrate to a uni form depth i n al l substrate

types and may not operate at al l i n dense vegetat i on Th i s observati on

was confi rmed on Apri l 8 1987 duri ng a fi el d reconnai ssance of Lake

Okeechobee by MML personnel A peti te Ponar grab was found unsu i tabl e to

sampl e most areas of the study s i te

Benth i c i nfauna was col l ected us i ng a PVC cori ng devi ce wh i ch

sampl es an area of 45 4 cm2 bull The devi ce i s a mod i fi cat i on of a s i mi l ar

corer devel oped by Ci ty of Tampa personnel to quant i tat i vel y sampl e the

sed i ments of H i l l sborough Bay ( C i ty of Tampa personal commun i cat i on )

The core i s fi tted wi th a one -way check val ve wh i ch reta i ns the sampl e by

suct i on I t i s attached to the end of a l ength of p i pe and i s depl oyed

from the sampl i ng vessel The sampl i ng dev i ce i s easy to operate and

obtai ns a un i form samp l e s i ze for vari ous sed i ment types to depths of

25 ft

Twel ve repl i cate sampl es were col l ected at each stati on Based

upon past experi ence of the study team i t was fel t that 8 or fewer

repl i cates wou l d adequatel y characteri ze the fauna Budget i ng and

manpower esti mates were based upon 8 repl i cate core sampl es at each

stat i on The four rema i n i ng cores were used for backup and archi val

sampl es

Each core was s i eved throug a 0 5mm mesh s i eve ( 35 U S

stand ard ) wh i ch has proved to be of proper s i ze for quant i tati vel y

sampl i ng benthos ( Re i sh 1959 Bi rkett and Mc Intyre 1971 Lewi s and

Stoner 1981 ) Sampl es were s i eved i n the fi el d the an i ma l s were

narcoti zed w i th a 10 magnes i um sul fate sol ut i on and preserved wi th 1 0

buffered formal i n to wh i ch rose bengal sta i n had been added i n order to

fac i l i tate accuracy of sort i ng Sampl es rema i ned i n 10 formal i n for 48 -

8-4

72 hrs to i nsure proper fixat i on they were then transferred to 70

i sopropyl al cohol for storage pri or to l aboratory proces s i ng

VI I I B 3 Laboratory Methods

In the l aboratory al l organi sms were fi rst rough sorted i nto major

taxonomi c groups ( i e ol i gochaetes i nsects mol l uscs crustace a etc )

by use of a 7 -40X stereozoom d i ssect i ng mi croscope Ident i fi cat i ons to

the l owest practi cal taxonomi c l evel (genus and spec i es i n most cases )

was performed by exper i enced taxonomi sts

Mod i fi ed Hester-Dendy art i fi c i al substrate sampl ers were ut i l i zed

to mon i tor epi faunal col on i zati on pri mari l y the aquat i c i nsect l arvae

Th i s method i s approved as an i nvertebrate col l ect i ng tech n i que by the

U S EPA (Weber 1 973 ) and has been sati sfactori l y used by other

i nvesti gators (Tsu i and Breedl ove 1 978 Beak et al 1 973 Ful l ner

1971 ) Two separate sampl ers per stat i on were l eft i n pos i t i on at m id

depth from one macro i nfaunal sampl ing to the next ( e i ther 2 or 6 weeks )

After retri eval the sampl ers were pl aced i nto a 10 buffered formal i n

sol ut i on i n the fi el d for preservat i on of attached fauna I n the

1 aboratory one of each pai r of sampl ers was taken apart and the fauna

scraped from the pl ates then i dent i fi ed to the l owest pract i cal

taxonomi c l evel The second sampl er was used as a backup andor arch i ve

sampl e

Data Anal yses Impact Asses sment

The assessment of env i ronmental i mpacts on the benthos from

spec i fi c d i sturbances (wi th i n reasonabl e constrai nts of a manageabl e and

cost effect i ve sampl i ng program) poses d i ffi cul t stat i st i ca l probl ems

The assessment of effects of an impact by ANOVA or other proced ures of

i nferen t i al stat i st ics cannot be val i dl y used to test for the i mpact of a

po i nt - source of pol l ut i on or i mpact on spec i fi c areas I t can onl y

demonstrate s i gn i fi cant d i fferences between areas wh i ch may often occur

natural l y Therefore the probl em becomes one of eval uati ng recovery by

compari sons of impacted versus non - i mpacted control s i tes Hurl bert

( 1984 ) descri bes i n deta i l the common p i tfal l s made by i nvest igators

8-5

concern i ng the appl i cat i on of conventi onal parametri c stat i st i cs Most

parametric stat i st ics requ i re randoml y appl i ed treatments to mul t i pl e

s i tes that area al so randoml y d i spersed Because such s i tuat i ons are not

read i l y ava i l abl e for envi ronmental i mpact stud i es i t does not

necessari l y fol l ow that envi ronmental impact cannot be rel i abl y measured

Rather a d i fferent approach i s necessary Al l an Stewart -Oaten et al

( 1986 ) descri bed a rat i onal e for the eval uat i on of env i ronmental i mpact

assessment based upon the magn itude of vari ati on between control and

affected areas before and after impact

For any habi tat there are vari ati ons i n spec i es compos i t i on

faunal d i stri but i on gra i n s i ze d i stri but i ons RPD l ayer methane vo ids

etc even over very smal l d i stances In add i t i on temporal changes can

al ter these parameters i n an unpred i ctabl e manner However the

mag n i t ude of the vari at i on of these parameters about a mean val ue wi l l

often be characteri st i c for a habi tat type Furthermore the magni tude

of the vari ati on i s general l y l ow i n very homogeneous areas The

stat i st i cal object i ves of thi s task are to

1 ) Descri be and measure the vari ous sed iment and benth i c faunal

parameters of the study area

2 ) Obtai n an esti mate of the vari at i on of these parameters at

i nd i v i dual stat i ons about the mean val ue for the study area

3 ) Ident i fi cat i on of i mpacted and control stat i ons ( un i mpacted )

4 ) Eval uate the effect of weed harvest by compari ng the control to

i mpacted stat i ons and measuri ng the vari at i on of the sed i ment and

faunal parameters

Anal yses used for the data from the August and October s ampl i ng

peri ods i ncl udes spec i es ri chness (countsstat i on ) faunal dens i t i es (no

organ i smsm2 ) Shannon -Weaver d i vers i ty H ( Shannon and Weaver 1 963 )

P i el ou s equ i tabi l i ty J ( P i el ou 1975 ) Spec i es s aturat i on curves

(Hol me 1953 Gl eason 1922) wi l l be generated to determi ne the

appropri ate number of sampl es necessary to adequatel y descri be the fauna

of each stat i on Upon compl et i on of the project add i t i onal anal yses

wi l l i ncl ude mul t i vari ate quant i fi cat i on and cl uster anal ys i s (Al l en et

8-6

a1 1977 Bl oom et a1 1980 ) and Mori s i ta s i ndex of faunal s i mi l ar i ty

(Mori s i ta 1 959 )

V I I I C INTERIM RESULTS

YI I I C 1 Faunal Compos i t i on

Two sampl i ng peri od s were analyzed for th i s report the basel i ne

sampl i ng event (August 24 1987 ) and a post- harvest i ng sampl i ng event

(October 16 1987 ) Data for the benth i c core analyses are presented

here i n No Hester-Dendy sampl es were col l ected for August and resul ts

for Hester- Dendy anal ys i s for October wi l l be presented i n subsequent

reports

A total of 59 taxa was col l ected duri ng the two sampl i ng peri ods

compri s i ng seven phyl a Arthropoda Annel i d a Mol l usca Hydrozoa

Endoprocta Pl atyhel mi nt hes and Nematoda Tabl e 8 1 l i sts the taxa

recovered duri ng these sampl i ngs in phyl ogenet i c order and the occurrence

at control or harvested stat i on s

The most spec i es ri ch phyl um was Arthropoda composed primari l y of

the subphyl um Insecta pri nc i pal l y the Ch i ronomidae ( Di ptera) represented

by 1 5 tax a Three add i t i onal fami l i es of l arval d i pterans were al so

e n c o u n t e red each re presented by a s i ng1 e taxa Chaoboridae

Ceratopogon i dae and Tabani dae The orders Hemi ptera Tri choptera and

Col l umbo1 a were al l represented by a s i ng l e taxa respect i vel y Other

than the Di ptera only the Odonata was represented by more than one

taxon

The Crustacea were the second most spec i es r ich cl ass of

Arthropod s represented by 4 orders each with a s i ng l e taxon Ostracod a

I sopod a Amph i pod a and Decapod a

The l east abundant cl ass o f arthropods represented by a s i ng l e

taxon Hydracari na was i nfrequentl y encountered

Anne1 i d a ( represented on l y by 01 i gochaetes ) was the second most

spec i es ri ch assembl age Two fami l i es were encountered i n the study

area Nai d i dae was the most d i verse fami ly w ith n i ne taxa The pri mary

mode of reproduct i on for the spec i es i n th i s fam i l y s asexual

8 -7

consequent ly thei r popul at i on s can be very s porad i c i n occurrence

per i od i cal l y resul t i ng i n very h igh numbers

The second fami l y of ol i gochaetes i n the study area Tubi fi c i dae

was compri sed of only two speci es Au1 0dri 1 us piguet i cou l d be

i dent i fi ed from i mmature specimens however the other spec i es

l1mnodril us hoffmeisteri can only be i dent i fi ed as mature i nd i v i dual s

As a resul t the i mmature worms were separated i nto two groups - - those

s pec i mens wi thout cap i 1 1 i form setae and those wi th cap i 1 1 i form s etae

The fi rst group was probably compri sed enti rel y of i mmature l1mndri 1 us

hoffme i steri A1 though no mature spec i mens of the 1 atter group were

encountered they were probabl y I] odri 1 ys tamo1 eton i

Mol l usca was the thi rd most d i verse phyl um represented by s i x

spec i es o f g astropods Al though many of the s ampl es contai ned h i gh

numbers of dead shel l s both bi val ves and gastropods l i ve mol l uscs were

i nfrequentl y encountered

Four mi scel l aneous phyl a were occas i onal l y col l ected Cn i d ari a

and Endoprocta contai ned the col on i al organi sms Cordy1 0ohora 1 acustri s

and Urnatel l a graci l i s wh i ch coul d not be quant i fi ed s o onl y the i r

presence was noted The Phy1 um Nematoda was frequently present i n the

s ampl es and was occas i onal l y the domi nant taxa However because of

the i r smal l s i ze they were general l y cons i dered as me i ofauna and wi l l

not be i ncl uded i n th i s d i scuss i on

VI I I C 2 Compari son of Stat ion Commun i t i es

Three pai rs of stat i ons were s ampl ed The fi rst pa i r (Stat i ons 7

and 10 ) was cl osest to shore Stat i ons 9 and 12 were farthest from s hore

and Stat i ons 8 and 1 1 were i ntermed i ate Each pai r o f stat i ons i ncl uded

a control ( unharvested Stat i ons 10 1 1 1 2 ) and an experimental

( h arvested Stat i ons 7 8 9 ) l ocat i on Tabl e 8 2 summari zes the

commun i ty parameters of each stat i on for both sampl i ng events I ndex

val ues were not computed for stat i ons hav i ng f i ve or fewer taxa

Tabl e 8 3 presents data for each stat i on wi th total counts mean

per repl i cate and i nd i v i dual and cumul ati ve percentage compos i t i on

8-8

Control Transect

Duri ng both samp1 i ng per iods the greatest number of taxa and

h i g hest dens i t i es on the control transect were found at the i nshore

stat i on ( 10 ) and decreased with d i stance from shore At Stat i on 10 the

number of taxa i ncreased sl i ght l y from August to October ( from 18 to 2 1 )

01 i gochaeta was the domi nant taxa fol l owed by Ch i ronomi dae However

the basel i ne sampl i ng peri od exh ib i ted a sl ightly h i g her faunal dens i ty

than the postharvesti ng

The i ntermedi ate stat i on ( 1 1 ) had the second h i ghest number of

taxa and faunal dens i t i es duri ng both sampl i ng peri ods Unl i ke Stat i on

1 0 however both dens i t i es and speci es ri chness i ncreased substant i al l y

from August to October ( from 13 organi sms represented by 4 taxa to 44

organ i sms represented by 1 2 taxa ) 01 igochaetes predomi nated i n both

August and October

The farthest offshore control l ocat i on ( Stat i on 1 2 ) cons i stent l y

exh i b i ted both the l owest dens i t ies and number o f taxa i n the study area

Onl y two taxa were encountered duri ng each s ampl i ng peri od one i nsect

1 arva and one ol i gochaete i n August and 7 ostracods ( Crustacea ) and 6

gastropods i n October However the hi ghest dens i ty of the gastropod

P 1 anorbel l a duryi was found at thi s l ocat i on As d i scussed i n the

Commun i ty Metabol i sm sect i on Stat i on 12 exh i bi ted d i fferences in other

parameters due to a fi ne f1 0ccu1 ant sed i ment

Exper i mental Transect

The experi mental stati ons exh i b i ted the same trend as the control

transect a tendency toward decreased faunal dens i ty and speci es ri chness

with i ncreased d i stance from shore

As i n i ts counterpart ( Control Stat i on 10 ) Stat i on 7 had the

h i ghest number of taxa on i ts respect ive transect duri ng both sampl i ng

events The number of taxa i ncreased substanti a l l y at thi s l ocat i on from

10 i n August to 43 i n October In October th i s stat i on had the h i g hest

number of taxa and dens i ty of any stat i on at any t i me 01 i gochaetes

predomi nated at Stat i on 7 dur i ng both sampl i ng peri ods However wh i l e

c h i ronom ids were absent i n August they represented the second most

abundant and d i verse macro i nvertebrates group i n October In August the

8- 9

spec i es ri chness at control Stat i on 10 was greater ( 18 t axa) than at the

experi mental stat i on 7 ( 10 taxa ) The l ack of i nsect l arvae duri ng

August was respons i bl e for the l ow number of taxa For October however

there were 43 taxa col l ected at Stat i on 7 and only 2 1 at Stat i on 10

The i ntermed i ate stat i on on the experi mental transect ( Stat i on 8 )

refl ected the same trends as i ts correspond i ng control stat i on (Stat i on

1 1 ) the second h i ghest dens i ty and number of taxa on i ts transect duri ng

respect i ve sampl i ng peri ods As at Stat i on 1 1 few taxa were col l ected

i n August wi th a total absence of ch i ronomi d ( i nsect ) l arvae However

i n October the dens i ty and number of taxa i ncreased substant i al l y ( from 3

to 1 9 respect i vely ) pri mari l y d ue to the appearance of chi ronomid

l arvae and an i ncrease in the Nai d i dae (Ol i gochaeta ) popu l at i on I n

August Stati ons 8 and 1 1 had a comparabl e commun i ty structure Because

of the i ncreased number of chi ronomids and ol i gochaetes i n October the

faunal dens i ty at Stat i on 8 was much greater than at Stat i on 1 1 ( 24 1 vs

44 organ i sms )

Stat i on 9 the most offshore l ocat i on cons i stent l y had the l owest

number of taxa on the experi mental transect As wi th the other stati ons

on th i s transect the number of taxa and dens i t i es exh i bi ted a dramat i c

i ncrease from August to October The number of taxa i ncreased from onl y

2 spec i es of ol igochaetes i n August to a commun i ty of 10 taxa domi nated

by ch i ronomids i n October wh i l e th i s stati on s counterpart (Control

Stat i on 12 ) exh i bi ted only a sl i ght change between these samp l i ng events

The sudden occurrence of i nsect l arvae i n October was respons i bl e for the

substant i al i ncrease in faunal den s i ty

V I I I D SUMMARY

1 A total of 59 benth i c macroi nvertebrate taxa was co 1 1 ected

duri ng the basel i ne (August 24 1987 ) and postharvest i ng (October 1 6

1 987 ) s ampl i ng peri ods

2 Ch i ronomi dae ( I nsecta Di ptera) and Ol i gochaeta (Anne l i da )

were the most abundant and d i verse taxa throughout the study area

3 Gastropoda Crustacea and mi scel l aneous I nsecta general l y

compri sed the rema i n i ng taxa

8 - 10

4 Both the control and exper imental transects exh i b i ted a

decrease i n faunal dens i ty and spec i es ri chness wi th i ncreas i ng d i stance

from shore

5 The number of s pec i es and faunal dens i ty general l y i ncreased

at each stat i on between the basel i ne and postharvesti ng sampl i ng per i ods

6 Correspond i ng control and experi mental stat i ons exhi bi ted

s i mi l ar faunal dens i t i es and spec i es ri chness duri ng the basel i ne survey

7 Faunal dens i t i es and s pec i es ri chness were substant i al l y

greater a t the exper i mental stat i ons than a t the i r control counterpart

duri ng the postharvest i ng survey

8 An i ncrease i n the abundance and ri chness of the ch i ronomid

and ol i gochaete commun i t i es was pri mari l y respons i bl e for the changes i n

communi ty structure and abundance between the basel i ne and postharvest i ng

sampl i ng s

8- 1 1

LITERATURE C ITED

Al l en T F H S M Bartel l and J F Koonce 1977 Mul t i p l e stabl e configurat i ons i n ord i nati on of phytopl ankton commun i ty change rates Ecol ogy 58 1 076- 1084

Beak T W T C Gri ffi ng and A G Appl eby 1 973 Use of art i fi c i al substrate sampl ers to assess water pol l ut i on In B i ol og i cal methods for the assessment of water qual i ty Am Soc Test Mat ASTM STP 528 227 -241

B i rkett L and A D Mc Intyre 1971 Treatment and sort i ng of sampl es p 1 56- 168 In N A Hol me and A D Mc Intyre (eds ) Methods for the study of mari ne benthos IBP Handbook No 16 Bl ackwel l Sci ent i fi c Oxford

Bl oom S A S L Santos and J G F i el d 1977 A package of computer programs for benth i c commun i ty anal yses Bul l Mar Sci 27 ( 3 ) 577-580

Bri nkhurst R O and B G H Jami eson 1971 Aquat i c 0 1 i gochaetes of the worl d Uni v of Toronto Press 860 p

Chri st i e N D 1975 Rel ati onsh i p between sed i ment texture speci es ri chness and vol ume of sed i ment sampl ed by a grab Mar Bi ol 30 89-96

Dav i s F E and M L Marshal l 1975 Chemi cal and b i ol og i cal i nvest i gat i ons of Lake Okeechobee January 1973 -June 1974 Interi m Rept Tech Publ 75 - 1 Resource Pl an Dept So Fl a Water Mgmt D i stri ct West Pal m Beach FL

Ful l ner R W 1971 A compari son of macroi nvertebrates col l ected by basket and mod i fi ed mul t i pl e- pl ate sampl ers J Water Pol l Ctrl Fed 43 494 -499

Gl eason H A 1922 On the rel at i on between spec i es and area Ecol ogy 3 1 58- 162

Ho l me N A 1953 The bi omass of the bottom fauna i n the Engl i sh Channel off P l ymouth J Mar Bi ol Assoc ( U Kraquo 32 1 -49

Hol me N A and A D Mc Intyre 1984 Method s for the study of mar i ne benthos I BP Handbook 1 6 Bl ackwel l Sci Publ Oxford 387 p

Hurl bert S H 1 984 Pseudorepl i cat i on and the des i gn of ecol og i cal fi el d experi ments Ecol Monographs 54 187 - 2 1 1

Lewi s F G and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 1 6 - 1 24

Mi l br n k G and T Wi ederhol m 1 973 Sampl i ng effi c i ency of four types of mud bottom sampl ers Oi kos 24 479-4

8- 12

Mor i s i ta M 1959 Measuri ng of i nterspec i fi c assoc i at i on and s i mi l ari ty between commun i t i es Mem Fac Sci Kyushu Un i v Ser e I ( Bi ol ) 3 ( 1 ) 65-80

Paterson G C and C H Fernando 1971 A compari son o f a s i mpl e corer and an Eckman grab for sampl i ng shal l ow-water benthos J F i sh Res Bd Can 28 365-368

Penna k R W 1953 Freshwater 1 nvertebrates o f the Un i ted States Ronal d Press Co NY p 497 -664

P i el ou E C 1975 Ecol og i cal D i vers i ty W i l ey Intersc 1 ence NY 1 65 p

Re i sh D J 1959 A d i scuss i on o f the i mportance of screen s i ze i n wash i ng quant1 tati ve mar1 ne bottom sampl es Ecol ogy 40 307-309

Resh V H and D M Rosenberg ( eds ) 1 984 The Ecol ogy of Aquat i c Insects Praeger Press 625 p

Saether O A 1980 The 1 n fl uence of eutroph i cati on on deep l ake bent h i c i nvertebrate commun i t i es Prog Water Tech 1 2 161 - 180

Saether O A 1 979 Chi ronom1 d communi t i es as water qual i ty i nd i cators Hol arct i c Ecol 2 65-74

Saether O A 1 975 Nearct 1 c ch 1 ronom ids as i nd i cators of l ake typol ogy Internat i onal e Verei negung fur Theoret i sche and Angewandte L i mno l og i e Verhandl ungen 1 9 3 127-3 133

Shannon C E and W Weaver 1 963 The mathemat i cal theory of communi cat 1 0n s Uni v of I l l Press Urban a 1 1 7 p

Thayer G W R B Wi l l i ams T J Pri ce and D R Col by 1 975 A l arge corer for quant i tat i vel y sampl i ng benthos i n shal l ow water L i mnol Oceanogr 20 ( 3 ) 474-481

Tsu i P T P and B W Breedl ove 1978 Use of the mul t i pl e -p l ate sampl er i n b i ol og i cal mon i tori ng of the aquat i c envi ronment Fl a Sc i 4 1 ( 2 ) 1 1 0 - 1 1 6

Tyl er P and S E Shackl ey 1978 Compari son effi c i ency o f the Day and Smi th-Mc i ntyre grabs Estuar Coast Mar Sci 6 439-445

Warwi c k W F 1980 Pasqua Lake southeastern Saskatchewan a prel i mi nary assessment of troph i c status and contami nati on based on the Ch i ronomi dae (D i ptera) p 255-267 In D A Murray ( ed ) Ch i ronom i dae Ecol ogy Systemat i cs Cytol ogy and Phys i ol ogy Oxford Press Pergamon 3 54 p

8- 13

J

t middot I I I r I 1 I I 5 gt-1 deg

I- () j W =gt W Or eo

c=J () deg

H A R V E S T I N G T RA N S E C T S W () ffiITTIill E X P E R IM E N T A L T R A N S E C T S

c[ w laquo W

A P P R O X I MA T E w E E D L I N E J I lt1 1 deg

9

LAKE OKEECHOBEE

N O R T H LAK E S H O A L

F i g u re 8 1 Study s i te s howi ng l ocat i o n of ben thi c samp l i ng s tati o n s

C O NT ROL S T AT I O N S

bull

bull

bull

E X l IM r A L H A R V E S T T R A N S E C T D A Y S

1 4 R E L A T IV E A G F OF S T A T I O N S ( D A Y S P O S T H A R V E ST) -

1 3 ) ) gt- gt gt gt

bull 1 2 1 3 2 6 4 0 5 4 9 6 1 3 8 1 8 0 -

1 I I-1 0

I-9

r- )II-711 ) ) ) 8 8 2 1 3 5 4 9 9 1 1 3 3 1 7 5 bull I-7

I-6

I-5

I-4 ) ) gt- gt- gt- gt-I-3 4 1 7 3 1 4 5 8 7 1 2 9 1 7 1 bull -2

l-I r I I I I I I

2 4 6 1 2 1 8 2 4

P O S T H A R V E S T S A M P L ING

-J (1) - S A M P L I N G T I M E S C A L E ( W E E K S ) w W laquo (I) gt 0 laquo q-en I -

Figure 8-2 S chem a t i c of weed h a rvest tra nsect a n d a s s o c i a t e d b e n t h i c s a mp l i ng s t a t i o n s E i g ht s a mpl i n g e v e n t s a re I nd i c a t e d a s v e r t i c a l l i n e s on h o r i zont a l axi s R e l a t i v e p os t h a rve s t a g e of e a c h s t a t i o n Is pre s e n t e d bull

bull Ind i c a t e s H e s t e r - De nd y r e t r i e v a l S a mp l e rs woul d be p l a c e d I n f i e l d d ur ing t h e p r i o r s a mp l i ng eve n t

Table 8 1 Rlylcqenetic species listixg for all taxa encamtered in oollecticns for AlqUst ani october 1987 frail lake Okeedlclbee Hydrilla remval demonstratioo project site

SPEXIIS

0fIJl1RIA HYIRgtZ01

CDrdylgtpra lacustris Hydra sp

PIATYHEIMINIHES lURBEIlARIA

Dlgesia tigrina NEMAIODA

Nematoda ampW

llNOOIRXTA Urnatella gracilis

K)U1JSCA GAS1K)JOIl

AImioola ampW

Ancylidae ampW

Gyraulus parvus Hydrcbiidae sp A Laevipex fusca Planorbella dutyi

ANNELIDe OLIGOCHAErA NAIDID1ampE

Allonais pectinata Bratislavia unidentata nero diqitata nero furcata nero nivea Naididae sp elinruis Pristina leidyi Pristina lorgiseta Pristina prdxlscidea Stevenoniana trivanlrana

lUBIFICID1ampE lJnietennined sp (wo) Urrletennined sp (with) Aulodrilus piqueti Limncxlrilus hoffmeisteri

X

X

X X

X X X

X

X X X X

X

X

X X X X

X

X X X X

x

X

X

X X

X X X

X

X X

X

X X

x X

X

X

X

X X X X

X

X X X X

X

X X X

X

X X

Table 8 1 oontirrued

ARllroRgtDA ARAaINIIl Hydracarina sp CKJSTACFA

0SIRACX)(li ostracxXJa sp

ISOIODt cyathura polita

AMRIIIODt Hyalella azteca

Palaeoonetes paludosus Palaemonidae sp

COIUMOOIA

Q)lleniJola sp OIXNATA

IJhellulidae Bradwmesia sp

Libellulidae sp ltoenagrianidae COenagrianidae sp

HEHIIIlmA Q)rixidae

Q)rixidae sp TridlocXgtrixa sp

DIPlERA Olaoboridae

Olaeborus pmctipennis Tanypcldinae

Tanypcldinae spp CoelotanyJus spp

Tanmlif 5R) ORIH)CAI)IINAE

Orthocladiinae spp CriCXtotJs spp Thienemanniella spp

Olironaninae sp

x

x x

x

x x

x x

x

x x x

x

x x

x x x

x x x

x

x x x

x

x

Table 8 1 continued

SPECIES

CllilOllCDlS sp Dicroterrlipes sp nr Einfeldia spa Paradlironcrrus sp Iblypedilum spa

TANYlARSINAE Cladgtanytarsus sp Nimbocera spa Rheotanytarsus sp Tanytarsus spa

CERAIDKXnUDtE CeratqxxJonidae sp

TABANIDAE Tabanidae spa

lRIaDPlERA IEPIOCERIDAE

Peoetis sw PlERA

caenis sp

x

X

X

x

X

X X

X

x X X X X

X X X X

X

X

X

Table 8 2 SUDIDary of OmIImity Parameters for bIo sauplinJ events at thJee CXlIltrol statioos (7 8 9) anl thJee harvested statialS (10 11 U) for the stuly area

lOIAL Nl OF em SffANNCN sm TAXA IND rrJ2 -wEAVER SIMPSCN GlNI

08-24-87 7 10 147 4047 l o ll 0 48 1 80 504 496 08-24-87 8 3 5 138 NA NA NA NA NA 08-24-87 9 2 6 165 NA NA NA NA NA 08-24-87 10 18 196 5396 1 97 0 68 3 22 204 796 08-24-87 11 5 14 385 NA NA NA NA NA 08-24-87 U 2 2 55 NA NA NA NA NA

10-16-87 7 44 5U 14097 2 89 0 76 6 89 087 913 10-16-87 8 19 241 6635 129 0 44 3 28 433 567 10-16-87 9 10 139 3827 1 11 0 48 1 82 537 463 10-16-87 10 22 199 5479 2 02 0 65 3 97 247 753 10-16-87 11 U 44 U11 2 00 0 80 2 91 170 830 10-16-87 U 2 13 358 NA NA NA NA NA

Ta 8 -- Ber d fOI h i iOl

- r t - anl - cbE - 987 lplj eve

station 7 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 9 12 7 14 15 13 17 15 102 U 75 69 39 69 39 LIMNOpoundIUI1JS IDFFMEISTERI 2 1 6 1 3 4 1 3 21 2 63 14 29 8367 AIJID[JUI1JS PIQJErI 1 0 3 0 2 0 1 1 8 1 00 544 89 U DER) DIGITATA 1 1 2 0 0 0 2 0 6 75 4 08 93 20 lUBIFICIDAE Dff 0 0 0 0 0 0 1 3 4 50 2 72 95 92 COlUMOOIA SP 0 0 0 0 0 0 0 2 2 25 1 36 97 28 PIANORBELIA IlJRYI 0 0 1 0 0 0 0 0 1 13 68 97 96 URNATEI1A GRACILIS 0 0 0 0 0 0 0 1 1 13 68 98 64 DER) FURCATA 0 0 1 0 0 0 0 0 1 13 68 99 32 BRATSIAVIA UNIIDllATA 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 13 14 20 15 20 17 22 26 147

Station 8 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHAOBRJS RlNClIPEHlIS 0 1 0 0 1 0 0 0 2 25 4000 4000 DERO DIGITATA 0 0 0 0 0 2 0 0 2 25 66 67 66 67 AItLIIAIS 0 0 0 0 0 0 0 1 1 13 100 00 100 00

Totals -gt 0 1 0 0 1 2 0 1 5

Station 9 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 0 0 0 4 0 0 1 0 5 63 83 33 83 33 PRISTINA IEIDY 0 0 1 0 0 0 0 0 1 13 16 67 100 00

Totals -gt 0 0 1 4 0 0 1 0 6

Ta- - 8 -ont L_ - 3d

station 10 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

NEHAlOIlZ SP 0 71 0 0 1 0 3 0 75 9 38 38 27 3827 lUBIFICIDaE IMM Wrur 3 9 5 0 1 6 1 7 32 4 00 16 33 54 59 DERO DIGITATA 1 6 3 2 3 2 3 4 24 3 00 12 24 6684 LlMN()[JUllJS IDFFMEISTERI 2 8 4 2 0 0 0 6 22 2 75 11 22 78 06 AUIDtRIllJS PI(JJErI 0 3 2 2 0 0 3 2 12 1 50 6 12 84 18 BRATSIAVIA UNIDENrATA 0 3 0 0 5 1 0 0 9 1 13 4 59 8878 SP 0 0 4 0 0 0 1 1 6 75 3 06 91 84 IAEVAmX FUSWS 0 2 0 0 2 0 0 0 4 50 2 04 93 88 PIANORBEUA WRY 0 0 0 0 0 2 0 0 2 25 102 94 90 NAIDIDtE SP 0 0 0 0 0 0 2 0 2 25 1 02 95 92 LIBELWLIDtE Spp 0 1 0 0 0 0 0 0 1 13 51 96 43 BRAltlIYMESIA SP 0 0 1 0 0 0 0 0 1 13 51 96 94 OOENAGRIOOIDAE SP 0 0 0 1 0 0 0 0 1 13 51 97 45 URNATELIA GRACILIS 0 0 0 0 1 0 0 0 1 13 51 97 96 lUBIFICIDaE MM 0 1 0 0 0 0 0 0 1 13 51 9847 DERO FURCATA 0 1 0 0 0 0 0 0 1 13 51 98 98 OOEWlANYlUS SP 0 0 1 0 0 0 0 0 1 13 51 99 49 NR EINFEIDIA SP 0 0 0 0 1 0 0 0 1 13 51 100 00

Totals -gt 6 105 20 7 14 11 13 20 196

station 11 Aug 24 1987 Replicate Cllm

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

DERO DIGrrATA 4 3 0 0 0 0 0 0 7 88 50 00 so 00 NEHAIDpoundllIL SP 0 0 0 0 1 0 2 0 3 38 21 43 7143 CHAOooms RJNCrIPmNIS 0 0 0 0 0 1 1 0 2 25 14 29 85 71 BRATISIAVIA UNIDENrATA 0 0 0 0 0 0 1 0 1 13 7 14 92 86 OOEWlANYlUS SP 0 1 0 0 0 0 0 0 1 13 7 14 10000

Totals -gt 4 4 0 0 1 1 4 0 14

station 12 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

OECElIS SP 0 0 1 0 0 0 0 0 1 13 50 00 50 00 AUIDtRIllJS PI(JJErI 0 0 0 0 0 1 0 0 1 13 50 00 100 00

Totals -gt 0 0 1 0 0 1 0 0 2

Ta 8 Dnt d

station 7 oct 16 1987 Replicate OlIn

Taxa 1 2 3 4 5 6 7 8 Total Mean PeI1ent Percent

NAIS ELINGUIS 2 51 22 2 0 13 1 6 97 12 13 18 95 18 95 lUBIFICIDAE IMM Wrur 7 14 17 0 12 4 8 5 67 8 38 13 09 32 03 IJID DIGITATA 12 16 10 12 0 11 1 5 67 8 38 13 09 45 12 oomAOOIlt SP 0 12 6 4 2 2 10 0 36 4 50 7 03 52 15 LIMNOIlUIlJS HlFFMEISTERI 1 5 14 1 1 4 0 0 26 3 25 5 08 57 23 mISTINA IJHISRrA 0 17 1 2 0 3 0 0 23 2 88 4 49 61 72 AMNICOIA SP 2 7 1 1 1 6 0 2 20 2 50 3 91 65 63 CHIRaDIJS SP 3 1 6 2 2 3 1 0 18 2 25 3 52 69 14 JHlmMANNIEI1 SP 0 12 3 0 0 3 0 0 18 2 25 3 52 72 66 BRATISIAVIA tJNIDmlATA 1 2 2 5 1 1 1 5 18 2 25 3 52 76 17 SP 4 0 3 5 3 0 0 2 17 2 13 3 32 79 49 OOLYPEDIIIM SP 3 0 1 4 1 1 0 1 11 1 38 2 15 81 64 mISTINA mgtB6CIDFA 0 5 1 2 0 0 0 3 11 1 38 2 15 83 79 P SP 0 6 4 0 0 0 0 0 10 1 25 1 95 85 74 DICHJIElIDlPES SP 0 6 0 0 0 0 0 0 6 75 1 17 86 91 NIMBXERA SP 0 1 2 1 1 0 0 1 6 75 1 17 88 09 STEllJANSCIUA lRlVANIIWUt 0 0 0 3 0 1 1 1 6 75 1 17 89 26 HYAUEIA AZlEXA 0 1 1 1 0 2 0 0 5 63 98 9023 IrllEA SP 0 1 1 1 0 0 0 1 4 50 78 91 02 NR EINFEIDIA SP 1 0 0 0 0 0 1 2 4 50 78 9180 RHEXJrANYTARSUS SP 0 1 0 1 1 1 0 0 4 50 78 92 58 auroroRJS SP 0 2 1 0 0 1 0 0 4 50 78 93 36 AlJIOIIUIIE PIGJErI 2 0 0 1 0 0 0 1 4 50 78 94 14 lUBIFICIIlfE IMM 0 0 1 1 1 1 0 0 4 50 78 94 92 URNATELIA GRACILIS 1 0 0 0 0 0 1 1 3 38 59 9551 COEIDrANYIUS SP 1 0 0 0 0 0 0 2 3 38 59 96 09 NEMAIODA SP 0 1 0 0 0 0 0 1 2 25 39 96 48 SP 0 0 0 0 1 0 0 1 2 25 39 96 88 ANCYJLI1llE SP 1 0 0 0 0 0 0 0 1 13 20 97 07 HilRgtBIID7E SP A 0 1 0 0 0 0 0 0 1 13 20 97 27 ruESIA TIGRINA 0 0 1 0 0 0 0 0 1 13 20 97 46 PIANORBEIlA IlJRYI 0 0 0 1 0 0 0 0 1 13 2 0 97 66 D7E SP 0 0 0 1 0 0 0 0 1 13 20 97 85 OORDYIDRIgtRA IACDSlRIS 0 0 0 0 0 0 0 1 1 13 20 98 05 OECElIS SP 0 0 0 0 1 0 0 0 1 13 20 98 24 JlU(B)())())RJXA SP 0 0 0 0 0 1 0 0 1 13 20 98 44 BRACHYMESIA SP 0 0 0 0 0 1 0 0 1 13 20 98 63 ltHIRaDfIDIE SP 0 1 0 0 0 0 0 0 1 13 20 98 83 ORIBXlADIlNAE SP 0 1 0 0 0 0 0 0 1 13 20 99 02 TANYRJS SP 0 1 0 0 0 0 0 0 1 13 20 99 22 OIAOBlRJS RJNCr1PlHaS 0 0 1 0 0 0 0 0 1 13 20 99 41

TaO bull 8 - cor Jed

statim 7 oct 16 1987 continued Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHIBHlfiNAE SP (RJPAE) 0 0 0 0 0 0 0 1 1 13 20 99 61 JER) JiURCAI7 0 0 0 1 0 0 0 0 1 13 20 99 80 JER) NIVEA 0 0 1 0 0 0 0 0 1 13 20 100 00

Totals -gt 41 165 100 52 28 59 25 42 512

statim 8 oct 16 1987 Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

0IIl0DU3 SP 4 5 17 48 17 31 19 8 149 18 63 6183 61 83 JER) mGlTAl1 1 3 0 33 4 4 4 4 53 6 63 2199 83 82 SP 0 0 1 8 2 2 3 0 16 2 00 6 64 9046 TANYIUS SP 0 4 0 0 0 0 0 0 4 50 1 66 92 12 NIM8XERA SP 0 0 0 1 0 0 1 1 3 38 1 24 93 36 PIARlRBELIA IlJRYI 0 2 0 0 0 0 0 0 2 25 83 94 19 NAIS ELINGUIS 0 0 0 2 0 0 0 0 2 25 83 95 02 NEWaODA SP 1 0 0 0 0 0 0 0 1 13 41 95 44 ANCYlLtDAE SP 0 1 0 0 0 0 0 0 1 13 41 95 85 GYRAUIIJS PAIME 0 1 0 0 0 0 0 0 1 13 41 96 27 CyenMHlRA lOLITA 0 0 0 1 0 0 0 0 1 13 41 9668 HYAIlEIA AZTErA 0 0 0 1 0 0 0 0 1 13 41 97 10 IMEACARINA SP 0 0 0 0 0 0 1 0 1 13 41 97 51 IJMNCOUIDS l)FFMEISllU 0 0 0 0 0 0 1 0 1 13 41 97 93 lUBIFICIIl7E IMM Wrur 0 0 1 0 0 0 0 0 1 13 41 98 34 AIJlDIRII1JS PlGUE1I 0 0 0 0 0 0 0 1 1 13 41 98 76 TANYIODlINAE SP 1 0 0 0 0 0 0 0 1 13 41 99 17 CERAIO SP 0 0 0 1 0 0 0 0 1 13 41 99 59 TANYTARSUS SP 0 0 0 1 0 0 0 0 1 13 41 100 00

Totals -gt 7 16 19 96 23 37 29 14 241

Tal 8 3 can led

statim 9 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent Paloent

CHrRHHlS SP 4 20 18 8 18 13 12 15 108 13 50 73 97 73 97 NDWlODi SP 0 4 1 1 0 1 1 1 9 1 13 616 80 14 IER) DIGrrATA 0 3 0 0 2 1 1 1 8 1 00 548 85 62 NIMBJCERA SP 0 3 0 0 0 4 0 0 7 88 4 79 9041 PARAaIllUICHS SP 0 3 0 0 2 0 0 0 5 63 3 42 93 84 CIAJOrANrr SP 0 0 1 0 3 0 0 0 4 50 2 74 96 58 anRHJIINAE SP 0 0 0 0 1 0 1 0 2 25 1 37 97 95 CAENIS SP 1 0 0 0 0 0 0 0 1 13 68 98 63 PIAtIlRBEUA IlJRYI 0 0 0 0 0 1 0 0 1 13 68 99 32 NR EINFEIDIA SP 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 5 33 20 9 26 20 15 18 146

statim 10 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent PeIcent

NDWlODi SP 3 3 4 3 0 2 49 28 92 1150 4623 4623 IER) DIGrrATA 2 3 3 1 6 7 8 0 30 3 75 1508 61 31 CIAJOrANrr SP 1 0 1 0 1 9 3 0 15 1 88 7 54 6884 AIJaUUS 0 0 1 0 0 6 5 0 12 1 50 6 03 74 87 00TRACXgtIlt SP 0 1 0 0 0 0 0 6 7 88 3 52 78 39 lUBIFICI DM WClJI 0 5 1 0 0 0 1 0 7 88 3 52 8191 mISTINA UUISFrA 0 1 1 0 0 2 1 0 5 63 2 51 84 42 HYAIlEIA 0 0 1 0 0 0 0 3 4 50 2 01 8643 BRATSIAVIA tJNIIlENmTA 0 0 1 1 0 2 0 0 4 50 2 01 88 44 NIMBXERA SP 0 0 1 1 0 2 0 0 4 50 2 01 9045 CXlRDYIOHIlRA IAaJSDUS 0 1 0 0 0 1 1 0 3 38 1 51 91 96 PIAlIlRBEIlA IlJRYI 0 0 0 1 0 2 0 0 3 38 1 51 93 47 LIMNOlIUllJS JDFFMEISTERI 0 1 0 0 1 0 0 0 2 25 1 01 94 47 AIJIDIlllIm PIGOErI 0 1 0 0 0 1 0 0 2 25 1 01 95 48 CHrRHHlS SP 0 0 0 1 1 0 0 0 2 25 1 01 96 48 IAEVAPEX FUSaJS 1 0 0 0 0 0 0 0 1 13 50 9698 CXgtRIXIDtE SP 0 0 0 0 1 0 0 0 1 13 50 97 49 mISTINA FROBlSEIIEA 0 0 0 0 0 0 1 0 1 13 50 97 99 NAIS EIllDJIS 0 0 0 0 1 0 0 0 1 13 50 9849 TA8ANIDtE SP 0 1 0 0 0 0 0 0 1 13 50 98 99 auoororus SP 0 0 0 0 0 0 1 0 1 13 50 99 50 PARAClIIRHHJS SP 0 0 0 0 0 0 1 0 1 ll 50 100 00

lbtals -gt 7 17 14 8 11 34 71 37 199

Til 8 crd d

station 11 oct 16 1987 Replicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

DER) DIGITATA 3 0 2 3 4 1 1 0 14 175 3182 31 82 NEMAlOJl SP 0 0 2 7 0 1 0 1 11 1 38 25 00 56 82 C8IRA(X)[) SP 3 0 0 1 0 0 0 0 4 50 909 65 91 atIRNHlS SP 0 0 1 0 3 0 0 0 4 50 909 75 00 PAIAEHImlAE SP 0 0 0 0 0 0 0 2 2 25 4 55 79 55 PRISTINA 0 0 0 2 0 0 0 0 2 2 5 4 55 94 09 IJMOOllUIlS Jl)FFMEISlmI 0 0 0 0 1 0 1 0 2 25 4 55 88 64 PIANORBEUA IlJRYI 0 0 1 0 0 0 0 0 1 13 2 27 9091 GYRNJIIJS PARVUS 0 0 1 0 0 0 0 0 1 13 2 27 93 18 PAIAEHImrES PAIIJJXl9US 0 0 0 0 1 0 0 0 1 13 2 27 9545 lUBIFICIDAE DII WaJl 0 0 0 0 0 0 1 0 1 13 2 27 97 73 PARAClIIlODIJS SP 0 1 0 0 0 0 0 0 1 13 2 27 100 00

Totals -gt 6 1 7 13 9 2 3 3 44

station 12 oct 16 1987 Rsplicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

C8IRA(X)[) SP 2 2 0 3 0 0 0 0 7 88 53 85 53 85 PIANORBEUA IlJRYI 0 5 0 1 0 0 0 0 6 75 46 15 100 00

Totals -gt 2 7 0 4 0 0 0 0 13

IX LARVALJUVENILE F I SH TASK

IXA INTRODUCTION

The i mportance of aquat i c macrophytes i n enhanci ng f i sh

popul at i ons by prov i d i ng protect i on and forage for smal l fi shes has been

d i scussed by many authors ( Lantz et al 1 965 Barnett et al 1 974

Rozas and Odum 1987a 1 987b ) However dense Hydri l l a i n festat i on has

been reported to have del eteri ous effects on gamefi sh popul at i on s by

reduc i ng gamefi sh forage ( Lantz et al 1 965 Col l e et al 1 980 and

Macci na 1 985 ) and yet i mpacts on fi sh popul at i ons have al so been

associ ated wi th the removal of nui sance aquat i c weeds ( Hal l er Sh i reman

and Durant 1 980 and Mi kol 1985 ) Luxuri ant stands of vegetat i on al so

ser i ous ly hamper the fi el d bi ol og i sts attempts to quanti fy fi sheri es

resources Therefore the methodol og i es and the s ampl i ng l ocati ons must

address the compl i cat i ons of dense aquati c macrophyte growth

Th i s task has been speci fi cal l y des igned to exam i ne the effects of

mechan i cal h arvest i ng of Hydr1 l l a i n Lake Okeechobee Top ics of

i nvest igat i on i ncl ude

o removal of eggs and l arvae entrapped i n the weed harvest

operat i on

o exami nat ion of the Redge effectR ( i ncrease i n area of edge of weed

I mats ) on d i stri but i on of l arval fi she s

o rel ati ve abundance of l arvae i n und i sturbed weed areas and open

l ake weed edge waters as compared wi th new weed edge created by

harvest i ng and open water over harvested weed and to open 1 ake

waters beyond the weed fri nge

IX B METHODS ANP MATERIALS

IX B l Sampl i ng Strategy

Sampl es were taken us i ng three methods Phy s i cal removal of egg s

and 1 arvae v i a removal o f harvested Hydri 1 l a was quanti fi ed by the

exami nat i on of sampl es of the harvester s l oad col l ected as i t was

9 - 1

transferred from the transport vessel to trai l er The eggs of those

organi sms wh i ch ut i l i ze Hydrjl l a as a sUbstratum for egg - l ay i ng or as

physi cal protect i on were expected to be represented in these sampl es

Fi ve stati ons were sampl ed to address the abundances of l arval

fi sh and the i r utl l i zat i on of var i ous habi tat s wi th i n the study s i te

Both nocturnal l i ght traps and nocturnal pl ankton tows were empl oyed the

sel ect i on depend i ng upon weed dens i ty Surface pl an kton tows were used

pri mari l y at open water s i tes li ght traps at both surface and bottom

were used to address gradi ents wi th i n the water col umn as wel l as

d i fferences between harvested and unharvested areas li ght traps l ocated

at the bottom were expected to y i el d the greatest catch s i nce most o f

t h e i mportant sport and commerci al fi shes - -Centrarchi dae ( bass )

Perc i dae ( perch ) Ictal uridae ( catfi shes ) and Cypri n i dae (mi nnows

sh i nners carp ) - - have demersal early l i fe stages ( Hardy 1978 Jones

Mart i n and Hardy 1 978)

I X B2 Station Sel ecti on

For the l i ght trap and pl ankton tows fi ve stat i ons representi ng

five d i fferent habi tats were exami ned Control s i tes cons i sted of a

vegetated area a natural weed -edge- habi tat and a natural open water

habi tat The northern hal f of Transect 4 ( 1 52 4 x 545 5m) was the

experi mental transect for l i ght trap and pl ankton tow sampl es ( F i g ure

9 1 ) Two stati on types were sampl ed wi th i n the experimental transect- shy

a n open waterover harvested area and a newl y harvested edge ( F i gures

9 2 and 9 3 ) Stat i on l ocati ons were as fol l ows

Stat i on 1 ( vegetated ) area heav i ly i nfested by Hydri 1] a just

outsi de Transect 4

Stat i on 2 ( harvested ) recentl y harvested area i n Transect 4

Stat i on 3 ( harvested edge ) recently harvested edge of Transect 4

Stati on 4 (natural edge ) edge between an unharvested area and the open

water

Stat i on 5 ( open water ) open water area just outs i de Transect 4

Weed harvest sampl es were col l ected on the fi rst 454 5m ( 1 500 ft) of

Transect 3 ( F i gure 9 1 )

9 - 2

IX B 3 Sampl i ngs

The above descri bed stat i ons were sampl ed on September 23 and 30

1 987 and January 5 1988 Duri ng each quarter four repl cate pl ankton

tows and bottom l i ght trap sampl es were taken at Stat i ons 2 - 5 Both

methods prov ided i n formati on on the d i stri but i on of l arvae and juveni l es

wi th i n the water col umn The pl ankton net served pri mar i l y as a surface

col l ect i ng dev i ce wh i l e the l i ght traps served as a bottom col l ect i ng

dev i ce Pl ankton tows were not poss i bl e at Stat i on 1 therefore l i ght

trap sampl es were taken at both surface and bottom A total of 16

pl ankton tows ( 4 repl icates 4 stat i ons ) and 1 5 l i ght traps ( bottom - 3

rep l i cates 5 stat i ons ) were co 1 1 ected on September 23 1 987 8 l ght

trap sampl es ( 4 s urface and 4 bottom repl i cates 1 stat i on ) were

co 1 1 ected on September 3 0 1987 and 1 6 pl ankton tows ( 4 rep 1 i cates 4

stat i ons ) and 24 l i ght traps ( 20 bottom 4 surface ) sampl es ( 4

repl i cates 5 stat i ons ) were col l ected o n January 5 1 988 Duri ng

Quarter I a combi nati on of both towed and trapped sampl es resul ted i n a

total of 39 sampl es col l ected and anal yzed whi l e Quarter I I col l ect i ons

resul ted i n 40 sampl es col l ected and anal yzed

Three 1 14 l i ter ( 30 gal ) weed harvest sampl es were col l ected

preserved and processed duri ng each quarter L i ght trap and pl ankton

tows were co 1 1 ected from ca 1 hr after sunset to ca 1 hr before

s unri se Weed harvest sampl es were col l ected from the harvester at 1400

hrs ( 2 00 PM)

Weather cond i t i ons were more favorabl e duri ng the Quarter I

sampl i ng s than duri ng Quarter I I sampl i ngs In September a i r temperature

was approx i matel y 270C (800F ) water temperature was 280C (820F ) the

wi nd was l ess than 5 knots and the l ake was cal m In January the a i r

temperature was approx i mately 130C ( 55 40F ) water temperatu re was 160C

( 60 80F ) w i nd was approx imatel y 1 5 - 20 knots and the wave height on the

l ake was approx i mate ly 0 3m ( 1 0 ft )

9 - 3

Harvested Hvdri 1 1 a

For each s ampl i ng of harvested Hvdri 1 1 a three 1 14 l i ter (30 gal )

a l i quots of t ightly packed pl ant materi al were col l ected from several

l ocat i ons wi th i n the harvester l oad Drai ned wet we i ghts were recorded

to u se i n conjunct i on wi th bi omass data The rel at i ve appearance of each

al i quot was descri bed ( tops stems etc ) and the presence of other

vegetat i on was noted

Samp1 es were then careful ly ri nsed to free entra i ned organi sms or

l oose ly attached materi a l and the col l ected wash water was s i eved

through three succe ss i vely smal l er mesh s i zes The resul t i ng three

fract i ons per s ampl e consti tuted those organ i sms and materi al s l arger

than l Z 7nm ( lZ- ) 4 _ (316- ) and 0 363mm ( 1 100- ) Al l s ampl es

were preserved in 10 buffered formal i n and transported to the l aboratory

for further process i ng

pl ankton Tows

Open water and mi 1 d 1 y weeded areas were s ampl ed wi th two 30cm

mouth d i ameter 363u mesh con i cal s i de-mounted con i cal p1 ankton nets

( F i gure 9 4 ) Cal i brated General Oceani cs D ig i tal f1 0wmeters were

pos i t i oned i n the midd1 e of each net aperture to measure the s amp1 ed

water vol ume Four repl i cates were taken at each stat i o n each

represent i ng a 3 mi nute tow A thi rd fl owmeter was al so mounted on the

s i de of the boat to mon i tor net cl ogg i ng by prov i d i ng a measure of the

i deal water vol ume samp1 ed Al l samp1 es were co1 1 ected at n i ght to

mi n imi ze avoi dance of the gear by l arval fi sh

Light Traps

HeaVi l y weeded areas were sampl ed u s i ng rectangul ar (40 6cm x

30 Scm x I S 9cm) p1 exi g1 ass l i ght traps ( F igure 9 5 ) The l i ght traps

were fi tted wi th Tekna- L i te Z underwater fl ashl i ghts and SOSu mesh

sl eeves l ead i ng to quart s ampl i ng j ars L i ght traps were fi shed for

approx i mately one hour Both surface and bottom s ampl es were col l ected

at Stat i on 1 Al l other l i ght trap sampl es were taken at the bottom

Temperature ( 0C ) pH and conducti vi ty (rmnhos ) were measured at

the surface of stat i ons where nets and traps were depl oyed us i ng a

9-4

cal i bra ted Martek Mark 7 meter Oi sso 1 ved oxygen (mg1 ) was measured

us i ng a YS I Model 57 oxygen meter Th i s method i n conjunct i on wi th the

pl ankton tows prov i ded i nformati on to assess both spat i al and

experimental l y i nduced vari at i on i n i chthyop1 ankton fauna

IX B Sampl e Anal ys i s

For each sampl i ng method used the catch per un i t effort ( CPUE ) and

spec i es compos i t i on of the col l ected l arvae per habi tat for each quarter

was reported

Catch per uni t effort for each methodol ogy used was reported as

fol l ows

Harvested Hydri l 1 a the number o f organ i sms caught per 100 kg of

Hydri l l a removed

L i ght traps

Pl ankton tows

the number of organ i sms caught per trap- hour fi shed

the number of organ i sms caught per 100m3 of water

For each pl ankton net samp 1 1 ng event the number of organ i sms co 1 1 ected

was cal cu l ated to a standard number per 100m3 of water Because of

rel at i ve un i formi ty of depth i n th i s port i on of the l ake l arval

dens i t i es (no100m3 ) were converted to no hectare of l ake surface The

depths used i n convert i ng no 100m3 to no hectare were l Om i n the

September sampl i ng and 2 0m i n the January sampl i ngs

Analyses of vari ance (ANOYA S ) were cal cul ated us i ng the CPUE s to

determi ne s i mi l ar i t i es or d i fferences i n s pec i es d i versi ty between

habi tats for each methodol ogy (Tabl e 9 1 ) Student t - tests anal yses

cal cul ated from mean number of fi sh per repl i cate were used to determi ne

s i mi l ar i t i es or d i fferences i n rel ati ve abundance of fi sh between

stat i on s for each methodol ogy (Tabl e 9 2 )

IX C RESULTS

Many terms may be used to descri be the 1 arval stages of fi sh

(Snyder 1 983 ) In thi s study the term pro1 arvae deS i gnates those fi sh

wh i c h have just hatched and sti l l retai n a yol k sac The term

postl arvae i s used for al l stages of l arval devel opment fol l owi ng yol k

9-5

sac absorpt i on yet pri or to attai nment of ful l adul t fi n compl ement

- Larvae - i s used i n referri ng col l ect i vel y to both pro1 arvae and

post1 arvae The term -juveni l e- refers to those organi sms wh i ch have the

ful l adul t fi n compl ement but have not yet attai ned sexual maturi ty

Di s sol ved oxygen (DO) temperature pH and conducti v i ty were

measured at the surface at each s i te (Tabl e 9 3 ) Water temperature and

d i ssol ved oxygen were s i mi l ar at al l stat i ons for each sampl i ng date but

were qui te d i fferent between September and January The average water

temperature ranged from 28 10C i n September to 1 6 90C i n January

Average DO ranged from 4 8 mg1 i n September t o 8 4 mg1 i n January

A total of 996 fi sh representi ng 19 speci es was col l ected at Lake

Okeechobee duri ng September and January combi ned Spec i es l i sts for each

sampl i ng date and for total sampl i ng efforts are presented i n Tabl es 9 4

9 5 and 9 6 respect i ve l y Heterandria formosa ( l east ki l l i fi sh ) was

the domi nant spec i es col l ected accounti ng for 41 of the total catch

Lepomis sp ( sunfi s h ) and Gambusi a affi ni s (mosqu i tofi s h ) accounted for

13 8 and 1 2 8 respect i vel y of the total catch Of t he 996 fi sh

col l ected 0 2 were pro1 arvae 46 5 were post1 arvae and 53 3 were

j uveni l es Gambusi a affi n is and Heterandri a formosa were the onl y

speC i es col l ected as adul ts ( 0 3) L i vebearers (H formosa affi n i s

and Poecll i a 1 at i pi nna) al ong wi th ki l l i fi sh (Jordanell a f1 0ri dae and

lucan i a parva) accounted for 55 of the fi sh co1 1 ected The percent

compos i t i on of 1 i vebearers and ki l l i fi sh for each stat i on i s presented i n

Fi gure 9 6 Centrarch i d eggs represented 77 of the 5 932 eggs

col l ected

Catch per un i t effort (CPUE) of each spec i es per stat i on per

s amp1 i ng date for the p1 ankton tows 1 i ght traps and weed harvest are

presented i n Tabl es 9 7 9 8 and 9 9 respect i vel y A majori ty of the

uni dent i fi ed fi sh reported appeared to be cypri n i ds (mi nnows and carp )

F i nal veri fi cat i ons are be i ng cond ucted by Dr W R Courteney ( Fl ori da

Atl anti c Uni vers i ty) Mr 1 S i mon ( Large Ri vers Larval Research

Stat i on ) and Mr D E Snyder ( Larval F i sh Laboratory) and are not yet

ava i l abl e

I n the pl ankton tows for al l stat i ons combi ned 1 2 of the 19

reported spec i es were col l ected of wh i ch 97 5 were post1 arvae Leoomi s

9-6

spp ( sunfi sh ) was the domi nant spec i e s mean abund ance was 465 8

i nd i v i dual shectare i n September and 2 262 i nd i v i dual shectare i n

January Wh i l e Leoomi s spp was most abundant at the open water stat i o n

i t was al so abundant a t the harvested edge and natural edge stat i ons

The smal l er spec i es such as poeci l 1 id s ( l i vebearers ) cypr i nodonti ds

( ki l l i fi sh ) and the cypri n i d s were most abundant at the harvested

stat i on The l arger i nd i vi dual s of these spec i e s were al so col l ected i n

l ower numbers at the harvested edge and natural edge stati ons The

harvested area exh i bi ted the greatest speci e s d i versi ty ( 8 spec i e s ) and

the second h i ghest abundance ( 2 656 i nd i v idual shectare ) i n September

I n January fi sh were most abundant at the open water stat ion ( 5 918

i nd i v i d ual shectare ) but th i s stat i on al so exh i bi ted the l owest speci es

d i vers i ty ( 2 speci es ) Total abundance at th i s stat i on was affected by

the spawn i ng of Lepomis spp whi ch accounted for 4 608 of the 5 918

i nd i v i dual shectare predomi nantly i n the l arval stages Fi sh col l ected

by the pl ankton net method accounted for 28 4 of the total catch

Wi th respect to the eggs col l ected i n the pl ankton tows

centrarch ids were the domi nant speci es (97 eggshectare) The number of

egg s reported i n the pl ankton tows represented only 0 05 of al l eggs

co l l ected

The l i ght traps Igtredomi nantl y attracted juven i l es ( 63 1)

represent i ng 1 5 of the 19 speci es col l ected Heterandri a formosa was the

domi nant spec i es (mean bull 4 5 fi shhour) and Gambusi a affi n i s was the

second most abundant spec i es ( mean bull 1 6 fi shhour) The h i ghest CPUE

for both of these spec i es occurred at the vegetated stat i o n ( 18 03

fi shhour for Heterandri a formosa and 7 03 fi shhour for Gambusi a

affi n i s ) The vegetated and the harvested stat i on s demonstrated the

h i g hest spec i es ri chness each with 8 d i fferent speci es The l arger

spec i es atheri n i ds ( s i l vers ides ) and gobi es were not general l y confi ned

to one habi tat They were present i n the open water and edge habi tats

a s wel l a s the harvested stati on Spec i es of the fami l y Perc idae ( perch)

appeared onl y i n the 1 i g ht trap sampl es at the harvested and harvested

edge stat i on s Few f i sh eggs were col l ected i n l i ght traps

F i sh col l ected i n the weed harvest sampl es accounted for 50 3 of

the total f i sh catch and represented 10 of the 1 9 spec i es reported

9 - 7

Heterandri a formosa and i affin i s were the two predomi nant s peci es

numberi ng 492 3 fi shlOa kg of weed and 1 51 6 fi shlOa kg respect i vel y

O f the total number o f f1 sh col l ected i n the weed harvest 9 9 were

col l ected i n September and 78 of those were j uveni l es W i th the

excepti on of one ki l l i fi sh the 1 i vebearers were the onl y spec i es

col l ected as juven i l es Lepomi s spp was col l ected i n very l ow numbers

and onl y i n the post1 arva1 stage

Eggs col l ected i n the weed harvest sampl e s represented 99 of al l

eggs col l ected Centrarch id eggs wh i ch were col l ected onl y i n January

were the domi nant spec i es of eggs wi th an average of 8 899 eggsl Oa kg

Hydri 1 1 a sampl es exh i b i ted two markedly d i fferent appearance One type

was very 1 eafy wi th short i nternodu1 e spaces the other was l ong and

stri ngy wi th fewer l eaves and l onger i nternodu1 e d i stances Repl i cate

3 of the September samp 1 i ng and rep 1 i cates 2 and 3 of the January

samp l i ng cons 1 sted mai nl y of the l ong stri ngy Hydrill a A greater

number of eggs were col l ected i n the l eafi er Hydri 1 1 a

IX D DISCUSSION

IXD l Effects of Weather

The January sampl i ng resul ted i n l ow speci es ri chness and

abundance A total of 8 f1 sh representi ng 4 speci es were co 1 1 ected i n

the l i ght trap and weed harvest sampl es combi ned These l ow numbers are

most evident i n the January l i ght trap data presented i n Tabl e 9 8 I t

i s bel i eved the adverse weather and l ake cond i t i ons prev i ousl y menti oned

were the primary reasons for these l ow numbers rather than effects of

spawn i ng act i v i ty or mechani cal harvesti ng One specul at i on may be that

the strong wi nd caused a strong current wh i ch may have effecti vel y

h i ndered the swimmi ng abi l i ty of the weaker swimmi ng post1 arvae and smal l

j uven i l e s Consequently these organ i sms became more or l ess pl ankton i C

Another suppos i t i on may be that the strong currents caused by the w i nd

sti rred u p the water enough to cause a decrease i n water c l ari ty Th i s

woul d a l so resu1 t i n a decrease i n 1 i ght trap effect i veness Adverse

9-8

weather cond i t i ons i n January may have al tered the effecti veness of both

sampl i ng method and techn i ques

IX D 2 Sampl i ng Effec1 encv

Prev i ous stud i es (Ager 1 97 1 F l ori da Game amp Fresh Water Fi sh

Commi ss i on 1956 ) reveal ed that at l east 48 fi sh speci es i nhabi t Lake

Okeechobee Duri ng the present study 2 1 spec i es or 44 of those found

i n the l ake have been col l ected thus far

Speci es saturati on curves wh i ch address sampl i ng effi c i ency do not

appl y to i chthyofaunal analys i s due to such factors as act i ve movement of

organ i sms wi thi n and through an area di fferences i n seasonal spawn i ng

and d i verse uti l i zati on o f a habi tat by di fferent 1 i festages wi th i n a

spec i es An esti mate of sampl i ng effi c i ency can be obta ined by compari ng

the number of spec i es col l ected i n our study duri ng a g i ven season ( or

month) to the number of speci es known to spawn i n that season i n Lake

Okeechobe e

Spawn i ng seasons of 3 2 o f the 48 known speci es have been

documented Spawn i ng seasons for the remai nder of the spec i es are

unknown or have not been reported Of the 32 speci es wi th known

spawn i ng seasons there are approxi mate ly 1 5 l ate summer to fal l

spawners 1 4 l ate fal l to wi nter spawners and 2 5 spri ng and sununer

spawners At l east 4 of these speci es seem to spawn al l year around

U s i ng these numbers as a basel i ne for compari son an approxi mate

percentage of speci es col l ected per season ( or month) can be cal cul ated

I n our September sampl i ng whi ch represented l ate summer to fal l

spawners 10 of the 1 5 known speci es (or 66) were col l ected In our

January sampl i ng representi ng l ate fal l to wi nter spawners 10 of the 1 4

known spec i es ( or 7 1) were col l ected Most o f the fi sh spec i es i n Lake

Okeechobee are spri ng and summer spawners ( 7) consequentl y our

spec i es l i st i s expected to i ncrease i n Quarter I I I due to th i s i ncrease

i n spawn i ng act i v i ty

The number o f t i mes a n area i s sampl ed wi thi n a season i s as

i mportant a factor i n col l ect i ng adequate data as i s the number of

repl i cates taken Due to fund i ng constra i nts onl y one sampl i ng event

9-9

per season was schedu led Typ i cal l y i chthyofaunal s ampl i ngs are

conducted on a monthl y or b imonthl y schedu l e Th i s resul ts i n an

i ncrease i n novel speci es over t i me wh i ch l essens the i nfl uence of

prev i ou s l y ment i oned factors that i nh i bi t anal ys i s

The spec i es represented i n our study coi nc i de wi th the s pec i es

known to i nhabi t Lake Okeechobee The same spec i es were col l ected w i th

al l methods uti l i zed i nd i cat i ng there was very l i ttl e d i fference i n

spec i es d i vers i ty between methods empl oyed

IX D 3 Methodol ogy ys Li festage

Pl ankton tows most effect i vel y catch organi sms moved by currents

( pl ankton ) and l i ght traps attract free-swi mmi ng organ i sms As a resu l t

nearl y al l the postl arvae were col l ected i n pl ankton tows wh i l e

juven i l es were taken i n l i ght traps I n order for the l i ght traps to be

successfu l fi sh 1 arvae must be attracted to a l i ght source Some

spec i es of fi sh are attracted to l i ght some are repel l ed wh i l e others

are unaffected Whi l e onl y spec i es that were pos i t i vel y phototroph i c

were captured i n the l i ght trap sampl es those same spec i es were al so

captured i n the pl ankton tows and weed harvest sampl es These s pec i es

were not excl us i ve to any one methodol ogy The eggs wh i ch were reported

i n l i ght trap sampl es were probabl y fl oat i ng i n the water col umn and

carri ed i n to the trap by currents The greatest number of eggs were

removed by the weed harvester when the 1 eafi er type of Hydri l l a was

harvested Some adul t fi sh spawn i n areas of dense Hydri l l a i nfestat i on

( Chubb and L i ston 1 986 Pal l er 1987 ) Therefore the l eafi er Hydri l l a

i s most l i kel y the preferred area for attachment and protect i on due to

the h i gher surface area

Onl y the smal l er spec i es were col l ected as adul ts i n al i quots of

harvested weeds Presumabl y these smal l er s pec i es seek Hydri l l a for

protect i on and are subsequentl y removed al ong wi th the Hydr i l l a by the

harvester S i nce no adul ts of l arge spec i es were col l ected i n the weed

harvest sampl es i t i s poss i bl e they are abl e to swi m out of the

i mmedi ate area to avo i d removal wi th the Hydri l l a

9- 10

IXO4 Aqyat i c Vegetati on and Spec i es Cond i t i on

Prev i ous stud i es (Hal l er Shi reman and DuRant 1980 ) i nd i cated

that few adul t fi shes are actual l y harvested i n conj unct i on w ith Hydri l l a

removal Therefore no fi el d demonstrat i on act i v i t i e s were pl anned

duri ng the present study

Stud i es have shown that changes i n areal coverage of submerged

vegetat i on have a d i rect effect on spec i es ut i l i zat i on of habi tats and

d i stri but i on between habi tats (Col l e and Sh i reman 1980 Rozas and Odum

1987 ) Hydri l J a prov i des shel ter for l arge numbers of forage fi sh In

areas of th ick HydrjJ l a i nfestati on s acces s i bi l i ty i s reduced resul t i ng

i n decreased feed i ng effi c i enci es of forag i ng fi sh Macci na and Shi reman

( 1982 ) reported dense Hydri l l a i nfestat i ons coupl ed w ith reduced forage

fi sh av a i l ab i l i ty appeared to restri ct bl ack crapp i e ( Pomoxi s

nigromacyl atys) growth S imi l arl y Bai l ey ( 1978) reported an i mprovement

i n both growth and cond i t i on of sunfi shes after the removal of dense

aquat i c vegetat i on Col l e and Shi reman ( 1980 ) reported the amount of

Hydri l l a i n the water had a greater i n fl uence on the cond i t i on of

bl ueg i l l and sunfi sh than did percent cover As more of the water col umn

becomes i nfested with Hvdri l l a the cond i t i on of these speci es decreases

The degree of change 1 5 spec ies spec i fi c and rel ated to food usage

Hydri l l a growth affects the cond i t i on factors of l arger gamefi sh before

i t affects cond i t i on factors of smal l er gamefi sh Th i s i s probabl y due

to prey-capture effi c i ency

El i mi nati ng Hydril l a compl etely from an area 1 5 al so detri mental

to f1 sh popul at i on s ( Col l e and Shi reman 1 980 ) Th i s woul d resul t i n a

decrease i n avai l abl e refuge for the forage fi sh renderi ng them read i ly

suscepti bl e to predat i on U l t i matel y the decrease i n forage fi sh

ava i l abi l i ty wou l d l ead to a decrease i n popul ati on of p i sci vorous fi sh

An i ncrease i n edge avai l abi l i ty due to harvest i ng i ncreases food

ava i l abi l i ty by al l owi ng forag i ng al ong a greater open water-vegetat i on

gradi ent Th i s i n turn resul ts i n more favorabl e cond i t i on factors for

gamefi sh Increas i ng the edge avai l abi l i ty i n our study seems to have

had no short term effects on l arval f1 sh popul at i ons such as al ter i ng

spec i es ut i l i zati on or abundance i n the area

9 - 1 1

rhe above menti oned studi es and others (Hi ko1 1985 Gregory and

Powl e s 1985 Lantz et a1 1 965) i l l ustrated that aquat i c vegetat i on

growth wi th i n l i m its prov ides an ava i l abl e suppl y of forage fi sh

essent i al to favorabl e sport fi sh popul ati on growth

IXD S Hab i tat Uti l i zation

rhe vegetated habi tat i n our study seems to be uti l i zed mos t by

post1 arvae and j uven i l es of the 1 i vebearers and ki l l i fi sh The domi nance

of these two spec i es groups at the vegetated stat i on i s cl early

i l l u strated i n F i gure 9 6 Al though the catch per un i t effort was

h i ghest for these smal l er speci es the ANOYA resul ts i nd i c ate l arval

stages of the l arger spec i es were uti l i zi ng the h abi tat as wel l It

seems that al most al l of the spec i es col l ected use the vegetati on as

protect i on from the l arge foragi ng fi sh at some t i me duri ng the i r l i fe

ANOYA resul t s showed there were no s i gni fi cant d i fferences i n spec i es

d i vers i ty between the vegetated surface ( X - 1 42 ) 1 i ght trap s ampl es

T - tests i nd i cated ( plt OS) there were al so no s ign i fi cant d i fferences i n

number of fi sh col l ected from the surface ( X-27 7) and bottom ( X 23 9 )

s ampl es These resul ts impl y there was no strat i fi c at i on i n the vert i cal

d i s tri but i on of fi sh wi thi n the vegetated habi tat

The open water habi tat i s most ly ut i l i zed by the l arger spec i es

Lepomi s spp and gobi es wh ich were probably u s i ng the area as a forag i ng

s i te

S i mi l ari t i es or d i fferences i n spec i es d i vers i ty and abundance

betwee n t h e vegetated and open water habi tat s were exami ned

stat i st i cal l y Al though CPUE s for the l arger spec ies were qu i te

d i fferent from the CPUE s of the smal l er spec i e s ANOVAS i nd i cate there

were no s i gni fi cant d i fferences i n spec i es d i vers i ty between these two

stat i ons ( p-O OS ) The j uveni l es of the smal l er spec i es must be

ut i l i z i ng the open water areas as foragi ng s i tes al so T-tests on the

number of total fi sh i n the l ight traps reveal ed there was a

stat i st i cal ly s i gn i fi cant d i fference between the number of fi sh i n the

vegetated habi t at (X-23 9 ) and those i n the open water hab i tat (X38 4)

Th i s d i fference was expected s i nce 96 of the j uven i l es were col l ected

9 - 1 2

i n l i ght traps and 9 of those were col l ected i n the vegetated habi tat

There were more j uven i l es i n the harvested area than i n the open water

consequent l y the l i ght trap woul d have attracted more fi sh i n the

harvested are a Most o f these j uven i l es col l ected were l i vebearers and

ki l l i fi sh The d i fference i n fi sh numbers was probably i nfl uenced more

by spec i es ut i l i zati on and methodol ogy rather than by harvester i mpacts

The harvested edge and natural edge habi tats i n our study were

predomi nantly uti l i zed by l arger spec i es CPU E s were very s i mi l ar among

spec i es between these two stat i ons There was no stat i st i cal ly

s i gn i fi cant d i fference i n speci es d i vers i ty between the harvested edge

and natural edge T-tests i ndi cated there was no stat i st i cal l y

s i gn i fi cant d i fference i n fi sh abundance between these two stati ons

( harvested edge X-27 9 natural edge X-33 6) Evi dentl y the harvest i ng

of Hydrl l J a has had no s igni fi cant short term i mpact on e i ther

d i stri but i on or abundance of fi sh i n these two areas

As wi th other s i mi l ar stud i es ( Rozas and Odum 1 987 Barnett and

Schne i der 1 974 Pal l er 1987) MML s vegetated and h arvested stati ons

were ut i l i zed by the smal l er spec ies (sect affi n i s H formosa and 1

parva) whi l e open water and edge stati ons were frequented by 1 arger

spec i es ( Lepomj s spp sect robustum and H qul osus ) Recent stud i es have

shown that vegetated areas prov ide protect i on for smal l fi sh by reduci ng

the foragi ng effi ci ency of l arge predators ( Rozas and Odum 1 987 Macc i na

and Sh i reman 1 982 ) In add i t i on to provid i ng refuge Hydri l l a al so

supports a high number of i nvertebrates wh i ch may be an i mportant food

source for smal l fi sh ( Pal l er 1987 Rozas and Odum 1987) Some l arge

open water forag i ng fi shes may demonstrate fl exi bl e habi tat requ i rements

I t was found that bl ueg l 1 l s foraged effecti vel y on vegetat i on-dwel l i ng

prey i n areas of submerged vegetati on as wel l as i n open water areas

(Werner and Hal l 1 977 Col l e and Shi reman 1980 ) The use of habi tat by

Lepomi s s p i n Lake Okeechobee seems to paral l el the fi nd i ngs of these

stud i es Lepomi s spp appear to ut i l i ze al l fi ve habi tats for spec i fi c

purposes and t o a d i fferent extent The vegetated and harvested areas

are probabl y used for protect i on and spawn i ng the harvested and natural

edges and open waters were probabl y forag i ng s i tes

9- 13

Ana1 ysi s of the eggs and 1 arvae entrai ned by the weed harvest

program wi l l al l ow est i mates of total egg and l arval stocks of the study

area Th i s method wi l l not quanti fy al l stocks present due to escape of

l arvae back i nto the waters by runoff from the barge avo idance of weed

h arvesters etc It wi l l however quant i fy h arvester i mpacts and al l ow

a rough compari son of abundance est imates to those generated by the l i ght

trap and net methodol og i es El i mi nati ng Hydri 1 1 a compl etel y from an area

i s al s o detri mental to fi sh popul at i ons (Col l e and Sh i reman 1 980 ) Th i s

woul d resul t i n a decrease i n ava i l abl e refuge for the forage fi s h

renderi ng them read i l y suscepti bl e t o predat i on Ul t i matel y the

decrease i n forage fi sh ava i l abl 1 i ty wou1 d 1 ead to a decrease i n

popul ati on of pi sci vorous fi sh

Al though thi s study was not des i gned to determine the total

percent of fi sh and fi sh egg s bei ng removed by the weed harvester from

lake Okeechobee the rel at i ve abundance of fi sh and fi sh eggs bei ng

removed w ith the Hydrl 1 1 a can be determi ned Th i s can be accompl i shed by

compari ng the percent of fi sh and fi sh egg s col l ected i n the weed h arvest

sampl es to the percent of fi sh and fi sh eggs col l ected i n the pl ankton

tows and 1 1 ght traps Of the three methodo l og i es empl oyed the weed

harvest sampl es contai ned the greatest abundance of organ i sms The weed

h arvester removed 50 3 of al l fi sh and 99 of al l egg s col l ected to

date The pl ankton tow sampl es represented 28 4 of al l fi sh and 0 of

al l eggs col l ected ( Figure 9 7) These data i nd i cate a l arge number of

fi sh and fi s h egg s are bei ng removed wi th the Hydri 1 1 a The avai l ab i l i ty

of an i mportant habi tat for spec i es uti l i zat i on i s al so be i ng removed

Data col l ected thus far suggest there are no stat i st i cal l y

s i g n i f i cant short- term i mpacts on spec i es abundance or d i stri buti o n on

l arval and j uven i l e fi sh i n lake Okeechobee due to mechani cal h arvest i ng

However the avai l ab i l i ty of an i mportant habi tat i s bei ng removed

Consequentl y more extens i ve short- term and l ong -term stud i es shoul d be

conducted over a broad t ime span

9 - 1 4

IX E SUMMARY ANP CONCLUSIONS

1 Heterandria formosa Leoomis sp and Gambusi a affi n i s were

the three most abundant fi sh spec i es wh1 1 e centrarchi d eggs were the

most abundant egg spec i es col l ected

2 Thus far 2 1 speci es ( or 44) of those found i n the l ake have

been col l ected

3 Nearly al l the post1 arvae were col l ected i n pl ankton tows and

weed harvest s ampl es whi l e juven i l es were taken i n l i ght traps

4 The weed harvest s ampl es contai ned the greatest abundance of

organ i sms

5 There seems to be no strati fi cati on i n the veri t i cal

d i stri buti on of fi sh wi th i n the vegetated habi tat

6 There was a stati sti cal l y s igni fi cant d i fference between the

number of fi sh in the vegetated habi tat and those i n the open water

hab i tat

7 There was no stati sti cal l y s i gn i fi cant d i fference i n speci es

d i vers i ty between the harvested edge and natural edge

8 Leoomis s p appear to uti l i ze al l five habi tats for speci fi c

purposes and to a d i fferent extent

9 Mechan i cal harvesti ng seems to have had no stati sti ca l l y

s i gn i f icant short-term impacts on spec i es abundance or d i stri but i on on

l arval and juven i l e fi sh in Lake Okeechobee thus far

10 The avai l ab i l i ty of an i mportant habi tat i s be l ng removed by

the weed harvester

9 - 1 5

LITERATURE C ITED

Bai l ey W M 1 978 A compari son of fi sh popul at i ons before and after extens i ve gass carp stocki ng Trans Am F i s h Soc 1 07 181 - 206

Barnett B S and R W Schne i der 1 974 F i sh popul ati ons i n dense submersed pl ant commun i t i es Hyac i nt h Contr J 1 2 1 2 - 1 4

Chubb S L 1986 Dens i ty and d i stri but i on o f l arval fi shes i n Pentwater Marsh a coastal wetl and on Lake M ich i gan J Great Lakes Res 1 2 ( 4 ) 332-343

Col l e D E and J Y Shi reman 1980 Coeffi c i ents of cond i t i on for l argemouth bas s bl ueg i l l and redear sunfi sh i n Hydri l l a - i nfested l akes Trans Am Fi sh Soc 109 52 1 - 53 1

Gregory R S and P M Powl es 1 985 Chronol ogy d i stri but i on and s i zes of l arval fi sh samp l ed by l i ght traps i n macrophyte Chenung Lake Can J Zool 63 2569 -2577

Hal l er W T 1 980 F i sh harvest resul t i ng from mechan i cal control of Hydri l l a Trans Am Fi sh Soc 109 51 7 -520

Lantz K E J T Daves J S Hughes and H E Schafer Jr 1 965 Water l evel fl uctuat i on - - i ts effects on vegetat i on control and fi sh popul at i on management Proc Annual Conf SE Assoc Game amp F i sh Comm 1 8 483-495

Macc i n a M J and J Y Shi reman 1 982 I nfl uence on dense Hydrl l l a i nfestat i on on bl ack crappi e growth Proc Ann Conf SE Assoc F i sh amp W i l dl Agenc i es 36 394 -402

Mi kol G F 1 985 Effects of harvest i ng on aquat i c veget at i on and j uven i l e fi sh popul at i ons at Saratoga Lake New York J Aquat Pl ant Mgt 23 59 -63

Pal l er M H 1 987 Di stri but i on of l arval fi sh between macrophyte beds and open channel s i n a southeastern fl oodpl a i n swamp J Freshwater Ecol 4 ( 2 ) 1 9 1 - 200

Rozas L P and W E Odum 1 987a F i sh and mi crocrustacean use of submerged pl ant beds in t i dal freshwater marsh creeks Mar Ecol Prog Ser e 38 10 1 middot 108

Rozas L P and W E Odum 1987b Use of t idal freshwater marshes by fi shes and mcrofaunal crustaceans al ong a marsh stream-order grad ent Estuari es 10 ( 1 ) 36 -43

Snyder D E 1 983 F i sh eggs and l arvae I n L A N i el sen and D L Johnson ( eds ) F i sher i es Techn i ques Southern Pri nti ng Co I nc Bl ackburg VA p 166 - 167

9 - 16

Tabl e 9 1 Ana l yses of vari ance ca l cu l ated for pl ankto n tows and l i ght trap s amp l es for September and January s amp l ings

S t mb r 23 1 987

S t at i ) n

CQIJ n t Hi-an S t j DiIv

S t j E r r Vr- i n c C ) i- r r Vr M i n imum M alt i m IJ m

1 -WoiY ANOW

Troiltill1i n t Er l or-

Tot a T

F-t e s t Rat i o

Li 9 h t Tri o Simo T

C IJ nt M in

S t middotj CIiV S t d E I r

V i r i in c C )i r f VJr

Mi n i mlJm

Ma( i m um

1 -WJY ANI)VA

71-=03 t mi n t

Er r o rmiddot

25 1 1 1 7 1 73

57 24 24il l 58 1

53 578

l s

4 2 7 1)6 -

-

bull bull j-4 90

1 52 84

33 1 3 03

-r c T -

J

7 2c2 7 1 1 63 06

63 52 2245 32 i 1

3 43

SS

1 48092 3

2572

26 1 1664

1

1 42

2 45 -

-

5 3 1 7 1 63

1

7 3 1

SS

66 13 3 1 5 4)

38 1 53

4

6 383 1 7 65 1 4

230 72 3 1 lt0337

1 47 49 4lt

1 506

DF

3 23

26

2

3 99

1 49 bull oJ

2 22 1 49 86

- - 4 (3

OF co J

co oJ

5 3 1 Be) 330 53 1 5 1 bull 6 1 1 53 1 2

8 67 e J

75 1

MS

49364 12 107 1 1 1 a

3

3 73 17 bull 1 C) 03

23 i3 53

83

Mshy

D 23 7 86

4 II w

37 bull 3 43 e bull J (

1 7 middot _ bull 1 3 3 1

43 34 6(1 36 - I 0

1 4 1 7

Tabl e 9 1 conti nued

3 4 oJ

CrIJ nt 4- 5 3 4 M rl 4 1 5 01) 548 00 7)4 67 1 562 00

5 t j D 1 520 60 643 23 03 I 2053 65

S t j Er r 261) 30 287 6 46( 33 1 026 33 Voir- h r c -o 27 1 025 4 1 33 1 4 653middot25 42 1 7476 C Hd f VJr 1 25 45 1 1 7 39 1 1 4 76 1 3 1 43

Mi n i mlJIT fr oJ) 3 54 330 11a(imJm l 1 S8 1 642 1 6 1 0 4608

l -W y ANQVA

S5 OF MS

r tme n t 32601 7 1 3 1 086724

Er r o r 1 6423671 12 1369056

iot Jl 1 1638342 1

F-t est R t i ) 71

Tabl e 9 2 Student t -tests analyses cal cul ated for p l ankton tows and 1 i ght trap sampl es for September and January sampl i ngs

t -Gear Stati on Habi tat Mean S D Stat i st i c plt0 05

L ight trap 1 bottom vegetated 23 88 6 252 L i ght trap 5 open water 8 35 0 495 3 308

Light trap 1 surface vegetated 27 70 24 13 L i ght trap 1 bottom vegetated 23 88 6 25 0 307 NS

Pl ankton tows 3 harvested edge 27 89 6 92

Pl ankton tows 4 natural edge 33 57 1 5 06 -0 685 NS

Pl ankton tows 2 harvested 34 88 9 74 5 open water 50 82 26 42 - 1 133 NS

Tabl e 9 3 Temperature ( OC) pH ( standard un i ts ) conducti v i ty (lIIIIhos ) and d i ssol ved oxygen (mgl ) for fi sheri es Stat i ons 1 - 5 September and January sampl i ng s

SeDtember

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( OC ) 28 03 28 02 27 93 28 32

pH 7 83 7 84 7 96 8 1 2

Conduct i v i ty (nmhos ) 0045 0039 0038 004 1

D O (mgl ) 4 3 4 0 5 3 5 4

January

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( oC ) 16 99 16 97 16 85 16 74 16 80

pH 7 10 7 1 7 7 07 7 1 3 7 1 0

Conduct i v i ty (nmhos ) 0018 0020 00 18 00 16 00 16

D O ( mgl ) 8 1 8 6 8 4 8 6 8 4

Tabl e 9 4 L i st of fi sh spec i es from Lake Okeechobee September s ampl e s

Engraul i dae Anchovi e s

Anchoa mi tchi l1 1

Cypr i n i d ae

Notemigonys crysol eucas NotroDi s sp

Cypri nodont f dae

Jordane1 ] a fl oridae Lycania Darva

Poeci 1 i i dae

Gambys1a affinis Heterandr i a formosa poec1 l ia l atjpi nna

Atheri n i dae

Menid i a s p

Centrarchi dae

LeDomi s macroch1 rys LeDomi s s p

Gob i i dae

Gobiosoma robystym Microgob1 ys gyl osys

bay anchovy

Carps amp M i nnows

gol den shi ner s h i ner

Ki 1 1 i fi shes

f1 agfi sh rai nwater ki l l i fi sh

Li vebearers

mosqu i tofi sh 1 east ki l l i fi sh s a i l fi n mol l y

S1 1 vers i de s

s i l versi de

Sunfi shes

bl uegi l l sunfi sh

Gob i es

code goby cl own goby

Tabl e 9 S Li st o f fi sh speci es from Lake Okeechobee January sampl es

SDec1 es Common Name

Cypr i n idae carps and minnows

HotroDi s s p sh i ners

Poec l l i l dae l l vebearers

Gambusi a aff1 n 1 s mosqu l tofi sh Heterandri a formosa l east kl l l i fi sh

Ather i n idae s l l vers ides

Centrarch l dae sunfl shes

LeDom1 s sp sunfi sh

Percl dae perches

Gob1 1 d ae gob l es

Tabl e 9 6 li st of al l fi sh spec i es col l ected to date i n lake Okeechobee sampl es

Species Common Name

Engrau1 i dae anchov i es

Anchoa mi tch ll 1 i

Cypr i n i dae

Notemigonus cryso1 eucas Hotropi s s p

Cypri nodont 1 dae

Jordane1 ]a f] ori dae lucan i a parva

Poec l 1 i l dae

Gambysi a affi n i s Heterandri a formosa poec1 l i a l atpi nna

Ather1 n 1 dae

Meni d ia sp

Centrarch idae

LeDomis macroch i rus LIPomis s p

Perc i dae

Gob1 i dae

ampobiosoma robustum M1crogobiys gu l osus

bay anchovy

carps and mi nnows

gol d en s h i ner sh i ner

ki l l i fi sh

f1 agfi sh rai nwater ki l l i f1 sh

l i vebearers

mosqui tofi sh l east ki l l i fi sh sai l f1 n mol l y

s i 1 versi des

si 1 versi de

sunfi shes

bl ueg i l l sunfi sh

perches

gobi es

code goby cl own goby

Tabl e 9 7 Mean number of i nd i v i dual s ( per s peci es ) per hectare at each habi tat for September and January pl ankton tows ( No pl ankton tows i n unharvested weeded areas )

SEPTEMBER 1987

F I SH

Cypr i n i dae NotroDi s sp Lucani a Darya Gambysi a affin i s Heterandri a formosa Men l di a spp Centrarch idae Lepomi s s p Gobi osoma robystum Mi crogobi ys gyl osys Un i denti fied

TOTAL HECTARE TOTAL SPEC I ES

fGGS

ANJABY laa

F I SH

Cypri n idae Cypri nodonti dae Gambysa affi ni s Atheri n idae Centrarch i dae lepomi s s p Uni dent i fi ed

TOTAL HECTARE TOTAL SPEC I ES

Centrarchidae spp Uni dent i fi ed

Harvested ( hec )

1 27 0 3 1 7 0 204 0 199 0 58 0

268 0 578 0 413 0

492 0

2656 0 8

Harvested ( hec)

56 0

230 0

1 188 0 186 0

1652 0 3

Harvested Edge

( hec)

39 0 6 1 0

439 0 395 0 281 0

6 1 0 143 0

1419 0 6

Harvested Edge

( hec )

380 0 1642 0 548 0

2570 0 2

58 0 1 1 2 0

Natural Open Edge Water

( hec) ( hec )

46 0 74 0

400 0 340 0 139 0 751 0

1 506 0 735 0 162 0 46 0 59 0

2299 0 1959 0 5 4

Natural Open Edge Water

( hec ) ( hec)

330 0 54 0

1610 0 4608 0 450 0 980 0

21 1 4 0 5918 0 2 2

330 0

Tabl e 9 8 Average number o f i nd i vi dual s caught per hour fi shed per habi tat i n l i g ht trap sampl es for September and January sampl i ng s ()

Veg a Veg a Harvested Harvested Natural Open Water Surf Bottom Bottom Edge Edge

eEtIE I s 1 2 3 4 5 Surface

Cypri n i dae 0 37 0 83 0 70 0 30 2 2 Notemogonus

crysol ecas 1 07 1 07 Notropi s S P a 1 68 1 01 0 27 2 95 Cypri nodont i dae 0 19 0 19 Lucan i a parva 0 33 0 37 0 70 Heterandri a

formosa 18 03 7 81 0 70 0 53 27 07 Gambusi a affi n i s 7 03 1 7 1 0 67 9 4 1 Men i d i a SP a 4 63 0 83 1 40 0 30 7 16 Centrarchi dae 1 70 1 70 Lepomi s macroch i rus 0 57 0 57 Lepomi s SP a 0 37 0 37

( 0 58) Perci dae (0 30) ( 0 28) Gobi idae 0 76 0 76 Gobi osoma robustum 0 39 0 27 0 37 0 87 1 90 Mi c rogobi u s gul osus 0 97 1 40 1 33 3 70 Un i denti fi ed 0 33 0 19 0 70 1 22

(0 25) fill Anchoa mi tchl 1 l i 0 1 9 Atheri n i dae 0 33

Tabl e 9 9 Total number o f fi sh per spec i es per 100 kg o f Hydri l l a i n the weed harvest sampl es for September and J anuary

Total Rep 1 Rep 2 Rep 3 PEtIE Organ i sms 100 kg 1 00 kg 100 kg

SEPTEMBER

Notrop i s sp 32 5 1 7 27 5 77 5 52 2 Jordanel l a fl ori dana 1 4 0 6 0 3 3 Lucan 1 a p arva 9 27 8 4 6 6 0 12 8 Poec i l l idae 1 4 6 1 5 Gambus i a affi n i s 92 1 1 5 2 1 19 2 220 5 1 5 1 6 Heterandri a formosa 309 500 6 380 4 595 9 492 3 Poec i l i a l at i p i nn a 5 9 2 1 7 9 9 0 Lepomi s sp 2 9 2 3 1 Un ident i fi ed 45 55 6 4 1 2 1 3 1 1 227 9

Ess1 Ather i n i dae 20 1 1 9 50 4 35 8 32 7 Un i den t i fi ed 1 1 1 5 9 9 2 29 8 1 8 3

JANUARY

Notropi s sp 1 5 8 1 9 Heterandri a formosa 1 5 8 1 9

W1 Centrarchi dae 4562 26660 8 36 1 8899 0 Un i dent i fi ed 1 334 7801 2 2600 4

APPROXI MATE W E E D LINE

LAKE OKEECHOBEE

f

1 _middot-

NORTH LAK E S H OAL

-

Fi gure S l S i t e of c ht hyopl a n kton sampl i n g a l o ng ha rve s ted transect 3 a n d 4 Tra n s e c t 3 wa s the a rea of harves ted Hydri l l a col l e c ti o n a nd Tra n s e c t4 wa s the area of p l a n k to n tow a nd li g ht trap col l ec ti o n

O P E N L A K E

bull bull bull

2 5

3

WEEDED AREA

Fi gure 9 4 S chema t i c o f I c h t hyopl ankton samp l i n g s t a t l ons

middot

Fi g u re 9 3 Ap proxima te s ta ti o n area de s i g na ti o ns for l i g h t tra p and p l a n k to n tows a l ong tran sect 4

middot F i gure A Drawi ng of the s i de-moun ted appa ra tus conta i n i ng two JOcm mouth J6Ju mes h coni ca l

p l ankton nets

Waterproof Flashlight

P lastic Colec tion Jar

505u Mesh Plankton Netting

Collar

r---c------i I----+----Hinge

Collection Funnels

Monofilament Handle for Rope and Bouy Attachment

Fi gure 9 5 Schema t i c of l i ght trap used a t the surface of S tation 1 a nd bottom a t Stati ons 1 - 5

(J) a U a lt U a L1 2 (J) - -U LL -c j z Q o z Ci5 lt 0 a 0 () rJl

Figure 96 Numbers of Llvebearers and Killifish 8S percent of total number collected by habitat for September and January samplings c ombined

1 00 -

8 0-

6 0-

4 0-

2 0-

a VE G

( 1 5 1 )

I I I I HARVESTED HARVESTED NAT U R A L

EDGE EDGE

( 5 9 7) ( 7 5) ( 7 5)

H A B ITAT

( TOT AL FIS H COLLECT E D )

OPEN W AT E R

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igure 97 Tota l of fish larvae (pro post juv) and fish eggs by methodology use d for

Lake Okeechobee 0 I and 0 2 samplings combined (Total of fish = 9 9 6 Total of eggs =5 9 3 I )

6 0 0- 6 000

5 0 0- 5 0 0 0

0 w 0 lampJ

4 0 0- J 4000 J 0 0 C) CJ 0 bJ

3 0 0- IL 3 0 0 0

-

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0 0 1- Z en I- en 0 w en 0 = I c w w 1- 0 O lt gt 1-

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J I-lt lt I J c

M ET H O D O L O G Y

0 1- Z en w en 0 = W IJJ 1- 0 gt I-0 lt lt I J c

M ET H O D O L O G Y

I- en I c o lt - 0 J I-

X BENEFITCOST ANALYSIS

X A INTRODUCTION

The economi c feas i bi l i ty of impl ement i ng a l ake-wi de mechan i cal

weed harvesti ng program for Lake Okeechobee can be determi ned by

compari ng the economi c costs of weed harvest i ng wi th the economic

benefi ts as soci ated wi th weed removal and val ue of by- products from

harvested aquati c weeds Thi s sect i on of the Hi d- Course Summary Report

provi des a bri ef overvi ew of the prel imi nary efforts i n devel opi ng an

economi c deci s i on framework

X B ECONOMIC DECISION FRAMEWORK

B l BenefitCost Analysis

The i n i t i al scope o f work for phosphorus removal i n Lake

Okeechobee i ncl uded more than one techn i que for reduc i ng the phos phoru s

content of the l ake Based on the orig i nal scope of work the economi c

anal ys i s for thi s project woul d i nvol ve devel opi ng an economi c deci s i on

framework i n wh i ch the vari ous techn i ques ( L e mechani cal weed

harvest i ng sediment removal ) and the various methods of di sposal ( i e

feedstock l and d i sposal so i l amendment b i omass -to-energy ) wou ld be

presented i n a matr i x format resul t i ng i n a number of al ternat i ves The

benefi t and cost anal ys i s woul d be performed u s i ng a net present worth

approach i n whi ch future benefi t and cost fl ows wou ld be converted to

1988 base dol l ar val ues Then the al ternati ves woul d be ranked by thei r

net present worths

Because o f the d i ffi cul ty i n obtai n i ng the necess ary permi ts

( e g FDER dredge and fi l l ) and budgetary restri cti ons sed iment removal

was el i mi nated as a phosphorus removal techni que i n the fi nal work pl an

Consequentl y the benefi t and cost anal ys i s has been s i mpl i fi ed to

cons i st of onl y one techn i que of phosphorus removal ( i e mechan i cal

weed harves t i ng ) The probl em can be further s i mpl i fi ed by treati ng the

economi c benefi ts of by-product uti l i zati on as negati ve costs Thi s

10- 1

resul t s i n h av i ng only i ntri ns i c val ues ( i e phosphorus removal

aesthet i cs i mproved water qual i ty i ncreased recreat i on ) to eval uate on

the benefi ts s i de of the equat i on Consequentl y the economi c analys i s

can be reduced t o a probl em that can be sol ved by the cost - effect i veness

method

Cost -effect i veness i s a method of eval uat i ng al ternat i ve projects

for wh i ch the benefi t s cannot be eval uated i n economi c terms I n thi s

part i cul ar case the benefi ts assoc i ated w i th aquat i c weed removal are

i ntri n s i c and not eas i l y quant i fi ed The economi cal l y effi c i ent sol ut i on

i s the method of d i sposal whi ch mi n i mi zes the costs of weed harvest i ng

The method o f d i sposal t hat ach i eves the greatest benefi t s per un i t cost

or i n th i s case the l east cost per uni t benefi t woul d be preferred

B2 Financi al Feasibi l i ty

Thi s economi c dec i s ion framework assumes that the South Fl ori da

Water Management Di stri ct has al ready determi ned that phosphorus removal

by mechan i cal weed harvest i ng i s the Di stri ct s goal and that the

obj ect i ve i s to mi n i mi ze the costs assoc i ated wi th ach i ev i ng that goal

However the Di str ict has not yet coitted the funds to cont i nue the

weed harvest i ng proj ect Therefore it woul d be advantageous to eval uate

vari ous al ternat i ves i ncl udi ng the Di stri ct s purchasi ng i ts own

equ i pment

The fi nal work product of the econom ic anal ys i s wi l l i nc l ude

est i mated costs i n dol l ars per acre and per ton of Hydri 1 1 a harvested

Because phosphorus removal i s a key aspect of th i s proj ect cost per

pound of phosphorus on a per acre bas i s wi l l al so be determi ned

Est i mated cost per pound of phosphorus per acre wi l l be cal cul ated us i ng

t o t a l h arvest i ng costs and ranges of phosphorus content for

representat i ve areas of the Hydr1 l l a mat

The factors that contri bute to h arvest i ng costs i nc l ude both fi xed

and vari abl e cost s F i xed costs are those costs that do not change wi th

quant i ty of output and cons i st of cap i t al costs ( i e major equ i pment

purchases bu i l d i ngs and l and) wages of sal ari ed personnel and i n i t i al

start -up costs Vari abl e costs are those costs that change w ith quant i ty

1 0 - 2

of output and i ncl ude the cost of operat i ng suppl i e s wages of hourl y

personne 1 fuel consumpt i on and other costs assoc i ated wi th operat i ng

the equi pment

Approxi mate l i st pri ces for the harvest i ng equ i pment used by the

contractor for the weed harvest i ng demonstrat i on on Lake Okeechobee are

presented i n Tabl e 1 Estimated operati ng costs such as fuel consumpt i on

and mai ntenance costs for these i tems are d i scussed i n the fol l owi ng

paragraphs

The two HIO800 harvesters are the 1 argest harvesters made by

Aquamari ne and represent current technol ogy Th i s part i cul ar model has a

Kubota d i esel eng i ne that uses an esti mated 0 5 gal l on of fuel per hour

Wi th proper preventi ve ma i ntenance the equ i pment shoul d be operat i onal

for 1 0 000 hours Based on an operati ng year of 1 000 hours mai ntenance

costs are estimated to be approxi mately S 1 00 per hour Contractorshy

speci fi ed mod i fi cati ons for the harvesters i ncl ude snake screens and

represent rel ati vel y mi nor changes that are i ntended more for safety of

the operator than for operat i onal effi c i ency

The h i gh- speed HS12 - I4000 transporters are a new product offered

by Aquamari ne The S25 000 pr i ce add -on i s due to the subst i tut ion of

two Vol vo i nboardoutboard eng i nes for a total horsepower of up to 275

Fuel consump t i on i s estimated by the manufacturer to be two to fi ve

g al l ons an hour (maximum consumpti on) when both eng i nes are runn i ng

The two TC 800M trai l er conveyors are speci al -order i tems wi th

mod i fi cat i ons that i ncl ude a gooseneck h i tch for a tractor Aquamari ne

makes a smal l er model that l i sts for approxi matel y S6 000 However for

thi s part i cul ar weed harvesti ng demonstrat i on i t i s i mportant to note

that the bed capac i t i es of the harvesters the transporter and the

trai l er conveyors are the same (800 cubi c feet ) and thus transfer t i me

i s mi n im i zed

These costs represent a substanti al capi tal expend i ture for e i ther

a publ i c agency or a pri vate fi rm In order to arri ve at a standard i zed

cost for equ i pment these costs suppl i ed by Aquamari ne wi l l be

suppl emented wi th cost data from other manufacturers of comparabl e

equ i pment The dec i s i on on whether to i nvest i n equ i pment can be

eva 1 uated us i ng the present d i scounted val ue approach That i s the

10-3

current val ue of the i nvestment wi l l take i nto account the effect of the

d i scount rate Because the d i scount rate i s somewhat arbi trary and even

a smal l change i n the d i scount rate can have a 1 arge effect on the

present d i scounted val ue a sens i t i v i ty analys i s wi l l be performed on the

cal cul at i on

A rev i ew of l i terature on mechani cal weed h arvest i ng d i d not

produce cost document at i on on Hydr11 1 a but i nstead reveal ed that t he

majori ty of publ i shed research on aquat i c weed harvest i ng concerns other

aquat i c weeds such as water hyac i nth and mi 1 foi 1 For exampl e Koega1 11

11 est i mated that the cost per acre of harvesti ng aquati c weeds

( unspec i fi ed ) for two projects i n Wi sconsi n from 1 972 to 1 973 was $68 4 1

Th i s cost fi gure may or may not be representat i ve of Hydri 1 1 a

Therefore i n order to arri ve at reasonabl y accurate harvesti ng costs for

Hydr1 1 1 a i t wi l l be necessary to obtai n from ISampT the fol l owi ng dat a

o fuel consumpt i on

o number of l oads harvested

o operati ng hours

o downtimeprevent i ve mai ntenance hours

o wage rates for both sal ari ed and hourl y personnel

o number of empl oyees by type and

o costs associ ated wi th the purchase of suppl i es

Uni t costs on a short middotterm bas i s ( i e the t i me l ength of t he

demonstrat i on project) wi l l be extremel y h i gh due to the l arge cap i tal

costs i ncurred Therefore the project w1 1 1 al so be eval uated on a l ongmiddot

term bas i s ( i e the l i fe of the equ i pment ) for wh i ch the un i t costs

wi l l decrease consi derabl y

I n sUlllllary the fi nal work product for t he economi c anal ys i s

port i on of th i s project wi l l cons i st of a cost-effect i veness study and a

f i nanc i al feas i bi l i ty study The cost-effect i veness study wi l l focus on

methods of d i sposal The fi nanc i al feas i bi 1 i ty study wi l l i nvol ve

eval uat i ng the project on a cost per pound of phosphorus on a per acre

bas i s

1 0 -4

Tabl e 10 1 Approxi mate Cost of Major Equ i pment Used i n the lake Okeechobee Weed Harvest i ng Demonstrat i on

Quant i ty

2

2

1

Name

Harvestors

Conveyors

Transporter

Model

HIO800

TC800M

HS1 2 - 1 4000

li st Pri ce (each)

spec i al mod i fi cati on requested by contractor

Made-to -Order Pri ce (each )

$87 000

$20 000

$60 000

$30 000

$85 000

Source Personal Commun i cat i on wi th Todd Rathkamp Aqua Mar i ne D i v i s i on o f Erectowel d I nc 1 988

DSA Group Inc 1 988

  • MRT 123 Pt 1-3 69p
  • MRT 123 Pt 4 59p
  • MRT 123 Pt 5-6 81 p
  • MTR 123 Pt 7-10 76p

EVALUATION AND RESEARCH OF IMPACTS

OF MECHAN I CAL WEED HARVEST I NG I N LAKE OKEECHOBEE

I EXECUT IVE SUMMARY - MID-COLIRSE REPORT

Mote Mari ne Laboratory assi sted by DSA

Envi ronmental Qual i ty Laboratory i s mi dway through

research project conducted for the South Fl ori da

Grou p I nc and

an eval uat i on and

Water Management

D i str i ct to assess the envi ronmental i mpacts of mechani cal harvest i ng of

Hydri l l a The harvest i ng and subsequent upl and d i sposal of materi al are

be i ng performed as a demonstrat i on project to eval uate the nutri ent

( part i cul arl y phosphorus ) removal potent i al and operati onal costs of th i s

techn i que The study s i te ( F i gure 1 1) i s on the northwestern shore of

Lake Okeechobee where approxi mate ly 1000 acres of Hydri 1 1 a are to be

harvested by I nternat i onal Sc i ence and Technol ogy I nc together wi th

L a ke Weed Cutt i ng Serv i ce I nc Spec i f i c i mpacts and s i te

characteri stics to be eval uated incl ude s i te b i omass water qual i ty

phytopl ankton and pri mary product i v i ty cOlMlun i ty metabol i sm sed i ment

chemi stry benth i c i nfauna and ep i phyte commun i t i es and l arval and

juven i l e f i sh popu l at i on s In add i tion a cost benefi t anal ysi s i s to be

performed address i ng the harvest i ng vari abl es and poss i bl e products to

opt i m i ze the cost effect i veness of harvesti ng A l i terature survey of

pert i nent top i cs i s al so i ncl uded as a separate tas k and the enti re

project i s conducted under the auspi ces of a Qual i ty Assurance program

des i gned to ensure the prec i s i on accuracy representat i veness and

compl eteness of al l data

The l i terature survey i s compl ete and over 400 annotated documents

have been comp i l ed i nto a cOlMlercial l y avai l abl e b i bl i ograph i c retri eval

system by key words Task members are abl e to request searches of th i s

database for i nformati on on top i cs spec i f i c to the i r tas k I n add i t i on

summari es o f i nformat i on on sel ected keywords such as Hydri l l a

phosphorous and others have been prepared a s Lake Fact Sheetsmiddot

The bi omass sampl i ng (August 19B7) was del i beratel y conducted i n

a wide range of growth cond i t i ons for eval uat i on of Hvdri l l a dens i t i es

and nutri ent content A cond i t i on i ndex was devel oped to eval uate pl ant

1-1

maturi ty Hvdri l l a senescence and peri phyton i nfestat i on was accompan i ed

by an areal decl i ne i n both bi omass and nutri ent content Max i mum

n i trogen and phosphorus t i ssue concentrat i ons were associ ated with ful l y

mature pl ants pri or t o senescence The presence o f other macrophytes was

respons i bl e for most wi thi n- stati on vari ati on Th i s task i nc i dental l y

d i scovered l arge seasonal d i fferences i n Hydr i l l a phosphorus and n i trogen

content Sampl es col l ected at the study s i te by ISampT duri ng J anuary

1988 were roughly f i ve t i mes h i gher i n phosphorus content than the

materi al col l ected by thi s project duri ng August 1987

Water qual i ty wi thi n the s i te represented an extremel y dynami c

system The i n fl uence of the Ki s s immee Ri ver and any other l ocal

d i sch arges produced d i l ut i on grad i ents across the s i te Vari at i ons i n

qual i ty were apparent between sampl i ng dates Numerous v i ol at i ons of the

i nstantaneous d i ssol ved oxygen cri ter ion (5 0 mgl ) were recorded

part i cu l arl y near the lake bottom Damp i ng of d i urnal oxygen extremes

was observed i n the harvested transects Al l n i trogen spec i es and total

phosphorous were h igher i n the unharvested transect waters than i n the

harvested transect The d i fference may be due e i ther to nutri ent

ut i l i zat i on i n the regrowth areas or to the rel ease of nutri ents from the

senescent Hydr i l l a mat present i n harvested areas The ent i re study s i te

was n i trogen l i mi ted wi th N P rat i os ( by we i ght ) of 3 0 i n the harvested

areas and 9 4 i n the unharvested control s

li ght penetrati on of the water at al l harvested stat i ons was

demonstrated to be s i gn i fi cantl y h i gher than at the unharvested control s

duri ng September onl y By January regrowth of Hvdri l l a produced

s l i ghtl y smal l er compensat i on depths on the harvested transect

Grad i ents i n l i ght penetrat i on were al so apparent wi th i n the experi mental

transect and may be rel ated to t ime s i nce harvest Vert i cal grad i ents

for in 1i1Y data were part i cul arly apparent at the weeded stat i ons

Bl ue-green al gae were the domi nant phytopl an kton taxa at al l

stat i ons d uri ng the September sampl i ngs Thi s domi nance was much reduced

duri ng J anuary when more green al gae were present Di vers i ty and number

of tax a i ncreased at four of the s i x stat i ons i n January but no

cons i stent pattern was apparent for e i ther harvested or control stat i ons

I n add i t i on there were no systemat ic d i fferences between harvested and

1 - 2

unharvested areas on the bas i s of spec i es compos i t i on Vari at i ons i n

chl orophyl l content al so were affected more by seasonal cond i t i ons than

by harvest i ng

The conunun i ty metabol i sm measurements conducted durlng September

1 987 i nd i cate probabl e d i fferences i n oxygen budgets for control and

harvested areas al though i n i t i al stat i st i cal methods d i d not establ i sh

the s i gni f i cance of such d i fferences Th i s was attri buted to anomal ous

data col l ected at a stat i on with unusual sed iment character i s t i cs ( h i ghly

organ i c unconsol idated f i ne grai ned mater i al in contrast to f i ne

grai ned sand ) Add i t i onal data analyses wi l l excl ude thi s stat i on from

cons i derat i on and future sampl i ngs wi l l be conducted at al ternate

l ocat i ons Di fferences by treatment duri ng the January sampl i ng were not

as pronounced as i n September and i nd i cate that regrowth of Hvdri 1 1 a with i n t hat peri od had offset harvest i ng e ffects

Sed i ment heterogenei ty was marked wi th i n the s i te with organ i c

w ith nutri ent content were fa i rl y l ow Organ i c content averaged 0 7

n i trogen 0 27 mgg total phosphorous 0 08 mgg and potass i um 0 49 mgg

on a dry we ight basi s Ni trate-n i tri te -n i trogen concentrati ons were l ess

than 1 of the total present Total n i trogen tota1 phosphorous rat i os

averaged 3 1 and were markedl y l ower than comparabl e rat i os i n e i ther t he

water col umn or the bi omass sampl es refl ect i ng a preferenti al

mobi l i zati on of n i trogen from s i te sed iments Few stat i st i cal l y

s i gn i f i cant d i fferences were detected a s a resul t o f w ith i n - stat i on

vari ati ons and the col l ect i on of more total phosphorus and total n i trogen

val ues are proposed for the second effort of th i s tas k

Data anal yses t o date for benth i c i nfauna i ncl ude preharvest and

postharvest cond i t i ons duri ng August and October respect i vel y The

August fauna was notabl y depauperate both i n taxa and numbers of

i nd i v i dual s wh i l e pronounced i ncreases in both were observed for

October D i urnal l y oxygen - poor cond i t i ons part i cul arl y duri ng August

may l i mi t benth i c fauna Spati al grad i ents were al so noted w ith

decreas i ng s pec i es ri chness and faunal dens i ti es at the southern end of

the study area Experimental and control stat i ons exh i bi ted s i mi l ar

faunal densi t i es and spec i es richness pri or to harvest wh i l e both

1 -3

parameters were substant i al ly greater at the harvested stat i ons duri ng

the October sampl i ng

Based on sampl i ngs i n September and J anuary the l arval and

juven i l e f i sh task col l ected 44 ( 2 1 ) of al l spec i es prev i ously reported

for Lake Okeechobee F i ve habi tats represent i ng both natural and

harvested edges and open water as wel l as heav i ly vegetated areas

were sampl ed Heterandria formosa LeDomi s sp and Gambus i a aff i nis

were the most abundant spec i es Centrarch i ds were the most abundant eggs

recovered The col l ect i on methods were f a i rly specif i c for part i cul ar

l i fe stage juven i l es were taken primari ly i n l i g ht trap sampl es whereas

postl arvae and eggs were taken i n pl ankton tows and Hvdri l l a sampl es

col l ected by the harvester LeDomi s s p appears to ut i l i ze al l fi ve

hab i tats dependent on l i festage No vert i cal strat i fi cat i on of organ i sms

was detected i n the weeded hab i tat and spec i es d i vers i t i es were

equ i val ent at both natural and harvested RedgesR of the Hydri l l a mat No

stat i s t i ca l ly s i gn i f i cant short term i mpacts of harvesti ng on spec i es

abundance or d i str i buti on are apparent

The cost-benefi t analys i s i s restri cted to eval uati ng mechan i cal

harvest i ng al one Benefi ts of thi s techni que wi th the except i on of

sal eabl e byproducts or costs assoc i ated wi th harvested mater i al are

pr i mari l y non -quanti fi abl e ( i mproved habi tat and water qual i ty boater

access nutri ent removal ) Therefore ranges of econom i c parameters wi l l

be ut i 1 i zed together wi th operat i ona 1 data from harvest i ng and

env i ronmental vari abl es from th i s project to present an economi cal l y

opt im i zed harvest i ng pl an to the Di stri ct

I n sunvnary no catastroph i c impacts due to mechan ical harvest i ng

have been detected i n the foregoi ng categori es al though subtl e

d i fferences have been determi ned by the study des ign Harvest i ng reduces

the amount of oxygen stress i n the study area and the nutri ent content of

the water col umn i s l ower i n the harvested than the unharvested areas

The s i te i s n i trogen l i mi ted based on water col umn sed i ment and pl ant

t i ssue anal yses Seasonal vari at i ons are l arge wi th respect to

d i fferences between harvested and unharvested areas for a l gal and l arval

fi sh popUl at i ons Spati al grad i ents were apparent i n many parameters

1 -4

The qual i ty assurance program associ ated wi th thi s project has

thus far conducted a systems aud i t for the pl an of study and at l east one

performance aud i t on f i e l dwork A Qual i ty Assurance Project Pl an has

been prepared and i s i n use as a project control document Aud i ts of

data management and anal ysi s are pl anned for the fi nal report i ng phase

At mi d -course sampl i ng anal yses and del i verabl es are on

schedul e and the project is operati ng wi th i n the budget No probl ems are

foreseen to prevent t imely compl eti on of the remai nder of the schedul ed

work Where al terati ons to speci f ic tasks have been recommended the

support for these efforts wi l l be obtai ned by real l ocati on of funds

wi th i n the project rather than by add i t i onal fund i ng

1-5

o 18 bullbull UNnar tllllllllI UINL UNnan

_ bull 0111 II wilD LlMi

lAKE (J(EECH08EE

Figure 11 Stu dy site l ocation Evaluation and research of impacts o f mechanical harves ting in Lake Okeechobee

I

I I LAKE OKEECHOBEE LITERATURE REV I EW

I I A INTRODUCTION

A 1 i terature rev i ew was conducted as a d i screte task of the

research project The Eval uat i on and Research of Impacts of Aquat i c Weed

Harvest i ng Demonstrat i on i n Lake Okeechobee cond ucted by Mote Mari ne

Laboratory The purpose of the l i terature rev i ew was to provide project

team members wi th economi c geol og i c hydrol og i c chemi cal and

b i ol og i cal i nformat i on on Lake Okeechobee wi th part i cu l ar emphas i s on

water qual i ty probl ems concern i ng phosphorus storage and cycl i ng between

the water col umn sed i ments and aquat i c weeds

I I B METHODS

Three techn i cal el ements were undertaken i n compl et i ng the

l i terature rev i ew 1) ident i fy i ng and search i ng i nformat i on 2) creat i ng

f i l es and 3 ) devel opi ng outputs

I nformati on was obtai ned by rev i ewi ng journal s for art i cl es

search i ng card catal ogs of area l i brar ies contact i ng major authors

conduct i ng research and request i ng key word searches of avai l abl e

computer l i brari es Journal s searched i ncl uded The Journal of Aquat i c

Pl ant Management Quarterly Journal o f the Fl ori da Academy o f Sci ences

( and Fl ori da Sc i ent i st ) L i mnol ogy and Oceanography Hydrobi ol og i a and

North Amer i can Journal of F i sher i es Management L i brari es vi s i ted

i ncl uded Un i vers i ty of South Fl or ida Uni vers i ty of Fl orid a Mote Mari ne

Laboratory Southwest Fl or ida Reg i onal Pl ann i ng Counci l South Fl ori da

Water Management D i str i c t and the Okeechobee off i ce of the Fl ori da Game

and Freshwater Fi sh Commi ss i on Key word l i terature searches were

c o n d u c t e d on d i qu at Lake O keechobee Hyd r i l l a and

nutr i entsaquat i c pl ants u s i ng searches avai l abl e from the Fl ori da

Department of Env i ronmental Regul at i on the Un i vers i ty of Fl ori da Aquati c

Weed Program and the U S Fi sh and Wi l d l i fe Servi ce

2-1

I I C PRODUCT

After rev i ew each publ icat i on was cited keyworded and annotated

u s i ng ARTF I LE vers i on 3 02 software for l i brar i es and b i bl i ographic

storage

Two outputs were devel oped from the comp i l ed i nformat i on 1 )

annotated c i tation s of each i nd i v i dual report and 2 ) Lake Fact Sheets

wh ich summari ze ava i l abl e i nformat i on on a spec i fic top ic requested by

members of t he study team Lake Fact Sheets and keyword b i bl i ographies

were d i stri buted t hroughout the course of the study as requested by

i nd i vi dual project members Lake Fact Sheets and a key word l i st

fol l ow Annotated c i tat i ons appear i n Append i x 2 A

2-2

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on AQUATIC PLANTS

Entri es i n Bi bl i ography 69

( For more deta i l s on spec i fic top ics pl ease see other fact sheets i e

hydri l l a b i omass harvest i ng etc )

Types of stud i es noted

- -Aquat ic pl ant ecol ogy (Moss 1980 23 Lugo and Snedaker 1971 113

Bl ackburn n 11 1968 128 Canfi el d et J 1983 260 Cassan i and

Caton 1985 352 Marshal l 1984 386)

- -Informat i on on aquat i c pl ant communi t i e s as habi tat (Wi l ey etI 1984

34 Durocher niI 1984 38 Mi l l eson nI 1980 40 Watki ns et I

1983 45 Ager and Kerce 1974 190 Sav i no et il 1985 196 Richard

n iI 1985 262)

- -Aquatic pl ant and sed i ment rel ati onsh i ps (Engel and N ichol s 1984 44

Barko and Smart 1986 106 Barko et 11 1983 147 L i et I 1974

108)

- -Aquat i c p l ant management ( Fl or ida DER nI 1986 415)

- - Nutrjent removal by aquat i c pl ants ( Reddy and DeBusk 1985 132)

- -Stud i es on harvest i ng aquat i c pl ants and the effects of harvest i ng

( Carpenter and Adams 1978 17 Sabol 1987 37 Mi ko l 1985 41

Wi l e 1978 57 Neel n 11 1973 114 N ichol s 1974 115

Smal l et

I 1985 130 Wi l e 1975 135)

- -Stud i es on chemical and other control s of aquat i c pl ants ( H i l t i bran n

J 1972 105 Ganstad 1978 110 deNoyel l es and Kett l e 1980 118

M i l on n 11 1986 119 Smal l et I 1985 130 Sutton and Vand i ver

1986 139 Lesl i e and Kobyl i nsk i 1985 255 Langel and and DeMont

1986 227 Barrett 1981 342 Barrett and Murphy 1982 344 Cl ayton

and Tanner 1982 355 Frank and Comes 1967 364 Graham 1976 369

Hughes and McCol l 1980 377 Richard et I 1984 426)

- -Aquat i c pl ant chem i s try and phys i ol ogy ( LaLonde 1970 107 Gerl off

1978 111 Gerl off 1973 112 Bri stow and Wh i tcombe 1971 136)

- - Chl orophyl l a concentrat i ons and aquat i c macrophytes ( Canfi e l d et I

1984 263)

2-3

Produced by Mote Marine Laboratory for South Florida Water Management District

- -B i omass stud i es and methods ( Schl oesser and Manny 1984 14 Mace i n a

J il 1984 33)

- -Uses for aquat i c weed s such as cattl e s i l age ( Bagnal l n l 1978

18) and compost (Wi l e g1 Jl 1978 19)

--Stud i es concern i ng Hydrilla vertic1llata ( Bagnal l 1980 18 Bol e and

Al l an 1978 15 P i erterse J il 1984 42 Bruner and Batterson 1984

43 Bowes 11 il 1979 47 Sutton 1982 52 Sutton and Port i er 1985

53 Sutton and Port i er 1983 57 McGhehee 1979 57 Bal c i unas 1985

116 Mart i n 1983 146 Johnston n Jl 1983 36 Canfi el d et l

1983 265 Mace i n a and Shi reman 1982 281 Hodgson and Carter 1982 423)

2-4

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fa c t She e t on BIOMASS

Entri es i n B i bl i ography 14

Types of stud i es noted

- -A troph i c state i ndex for l akes based on al gal bi omass (Carl son 1977

2)

- -Chl orophyl l -b i omas s - nutri ent rel ati onsh i ps for phytopl ankton (Canfi el d

et gl 1985 4)

--An assessment of bi omass control for water qual i ty management (Wong et

li 1979 9) --Methodol og ies for est imat i ng or measuri ng bi omass (Schl oesser and

Manny 1984 14 Mace i na g1 li 1984 33)

--Effects of harvest i ng or other weed control methods on aquat i c

vegetat i on b i omass (Mi kol 1985 41 Wi l e 1978 57 Cassani and Caton

1985 352 Hughes 1974 378 Sch i l l er 1983 398)

--B i omass measurements rel ati ng seasonal and b i otype vari at i ons i n

Hydr i l l a (Bowes et 11 1979 47 Steward 1987 408)

--Seasonal b i omas s of sel ected spec i es (Bowes et li 1979 47 Dewey et

l 19a1 266)

SUMMARY

Several stud i es use b iomass as a measure of aquat i c pl ant control

and as part of overal l assessments of water qual i ty management Mi ko 1

(1985) uses total pl ant bi omass measurements to asses s the effects of

mechan i cal harvesti ng on aquat i c vegetati on Wi l e (1978) al so presents

bi omass data as part of an assessment of envi ronmental effects of

mechan i cal harvesting Cassine and Caton (1985) asses s the same for

chem i cal and b i ol og i cal weed control Mace i na et li (1984) present a

method for est i mat i ng submersed pl ant bi omass by us i ng a record i ng

fathometer The i r data showed that the tech n i que i s not equal l y rel i abl e

for al l water bod i es However accurate b iomass determi nat i ons cou l d be

obt ai ned i f fathometer traci ngs are cal i brated w i th actual b i omas s data

Add i t i onal b iomass data for aquat i c p l ants are presented by Hughes

2-5

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

( 1974) Sch i l l er ( 1983 ) and Steward ( 1987 ) Bowes n il ( 1979) and

Steward ( 1987 ) present bi omass data for Hydri l l a i n Fl ori da

Canfi e l d et il ( 1985 ) address chl orophyl l - bi omass - nutri ent

rel at i onsh i ps for n atural assembl ages of Fl ori da phytopl ankton Carl son

( 1977 ) presents a troph i c state i ndex for l akes and uses al gal b i omass as

a parameter for the i ndex

2-6

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STU DY

Fact Sheet on D IQUAT

Entr i es i n B i bl i ography 84

Types of stud i es noted

- -Taxi c i ty data ( Mayer and El l ers i eck 1986 270 Berry and Schreck

1976 346 Funderburk and Lawrence 1967 366 Howe and Wri gt 1965

376 Kam W i ng and Furtado 1977 381 Naqui et Ai 1980 390)

- - Effects of d i quat on aquat i c commun i t i es ( H i l t i bran I 1972 105

Berry sl 1964 347 Cas san i and Caton 1985 352 Cal derban k 1972

351 C l ayton 1986 356 Dan i el 1972 358 G i l derhus 1967 368

Haag 1986 370 H i l senhoff 1966 372 Hughes and McCol l 1980 377

Joyce and Thayer 1986 379 Marshal l 1984 386 M i chaud 1979 387)

- -General chem i cal control gu i des and control of spec i fi c aquat i c

pl ants (Abery 1986 339 Barrett 1981 342 Barrett and Murphy 1982

344 Barrett and Logan 1982 345 Chevron Chemi cal Corp 1978 354

Hi l t i bran 1971 373 H i mel n li 1981 375 Ki l l gore 1984 383

Mac kenz i e 1966 385 Mobl ey n il 1971 388)

- -Di quat accumul ati on i n pl ants and sed i ments ( B i rmi ngham and Colman

1983 348 Dav i s and Seaman 1968 359 Frank and Comes 1967 364

Langeland and Warner 1986 384)

- - Experi mental data on herb i c i de treatments (Bri t i sh Col umbi a 1975

350 Clayton and Tanner 1982 355 Dunn et I 1983 362 Hal l er

1982 371 K i l l gore 1981 382 Newroth and L i m 1980 392)

- -Di quat u se wi th other types of control s (Charudattan 1986 353 Frank

AI 1979 365 Ganstad 1986 367 Graham 1976 369 Newroth

1974 391)

SUMMARY

I n add i t i on to the above noted stud i es three l i terature summari es and

rev i ews prov ide good i nformat i on on d i quat stud i es

Joyce and Ramey (1986) prov ide a good annotated rev i ew of 1 i terature

concern i ng research on the fate of aquat i c herb i c i de s i n water w i th

emphas i s on Fl ori d a s freshwater ecosystems Tucker (1980) rev i ews 50

c i tat i ons on d i quat c i tat i ons and prov ides a deta i l ed summary on the

2-7

Produced by Mote Marine Laboratory for South Florida Water Management District

foll ow i ng aspects of d i quat env i ronmental chemi stry adsorpt i on by so il

and cl ay mi neral s aerob i c and anaerob i c soi l stud i es soi l stud i es under

fi el d cond i t i ons aquat i c studi es soi l l eaching stud i es rotat i onal crop

stud i es photochem i cal degradat i on stud i es and mi croorgan i sm stud i es

Langel and and DeMont ( 1986 ) prov i de a thorough rev i ew of the l i terature

on the detect i on tox i c i ty and pers i stence of d i quat endotha1 1 and

f1 uri done They al so present speci fi c data on stud i es of the pers i stence

of d i quat endothal l and f1 uridone i n North Carol i na ponds and water

movement patterns i n Lake Wheel er North Carol i na

2-8

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on EUTROPHICATION

Entr i es i n Bi bl i ography 12

Types of stud i es noted

- -Eval uati ons of nutri ents i n eutroph i c l akes (Canfi el d 1983 5

Schi ndl er 1971 131 Michaud n ll 1979 387 Lee and Jones 1980

175)

- -Aquati c pl ant probl ems i n eutroph i c l akes (Graham 1976 369 Hughes

and McCol l 1980 377)

--Assess i ng eutroph i cati on based on water qual i ty stud i es ( Federi co et

Al 1981 67)

--Troph i c structure assessments and changes i n eutroph i c l akes ( Gayl e

1975 181 US Envi ronmental Protect i on Agency 1975 161)

SUMMARY

A number of stud i es address eutroph i cati on i n Lake Okeechobee

US Env i ronmental Protect i on Agency (1975 161) reports on Lake

Okeechobee as part of the Nat i onal Eutroph i cat i on Survey and a number of

state gency commi ttee stud i es and eng i neeri ng reports provi de anal yses

of Lake Okeechobee eutroph i cati on (MacGl l n AI 1976 174 Bl ack Crow

Ei dsness Inc 1976 185 Lee and Jone s 1980 175)

Us i g seven years of water qual i ty data Federi co et it 1 (1981

67) i dent i fy annual and seasonal l mnet i c water qual i ty trends exami ne

the re l at i o n s hi p to t r i but ary i n fl ow s i d en tify trends and

quali tyd i scharge rel ati onsh i p s cal cul ate annual l ake materi al budgets

for each year and assess the trophi c status of the 1 ake Gayl e (1975

181) presents a systems model for understanding eutrophicat i on i n Lake

Okeechobee

2-9

Produced by Mote Marine Laboratory for South Flori da Water Management District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on HARVESTING

Entr i es i n B i bl i ography 15

Types of stud i es noted

--Effects of harvesti ng aquat i c pl ants on nutr i ent removal ( Bol e and

Al l an 1978 15 Wi l e 1978 57 Neel et AI 1973 114)

--Compari sons of mechan ical and b i ol og i cal harvest i ng wi th herbi c i de

control ( Carpenter and Adams 1978 17 Smal l et AI 1985 130

Sch i l l er 1983 398)

--Di sposal of and uses for harvested hydri l l a ( Bagnal l et AI 1978 18

Sabol 1987 37)

--Harvest i ng effects on aquat i c fl ora and fauna (Mi kol 1985 41 Wi l e

1978 57 N i chol s 1974 115 Wi l e 1975 135 Schramm et AI 1985

212 Lesl i e and Kobyl i nsk i 1985 255)

- - Economi c s of mechani cal harvest i ng (McGhehee 1979 57)

- - Phys i cal propert i es of hydri l l a for harvesti ng ( Bagnal l 1980 59)

SUMMARY

Most of the stud i es address the effects of mechan i cal ly harvest i ng

aquat i c pl ants Bol e and Al l an (1978) report that the harvest i ng of

Hydr i l la vert i c illata woul d result i n the d i rect transfer of onl y a smal l

amount of phosphorus i n the soi l i nto the water and the organ i cal l y-bound

phosphorus removed i n harvested pl ants woul d be deri ved l argely from the

sed i ment and not the water body W i l e (1978) and Neel n AI (1973)

present data and anal yses on l ake nutri ent dynam i cs resul t i ng from

harvest i ng aquat i c pl ants W i l e (1978) al so presents data on al gae

phytopl an kton fi sh and water qual i ty changes

A number of other stud i es address harvest i ng affects on fl ora and

fauna Mi kol (1985) reports that harvest i ng pl ants al so removed from 2-

8 of the total stand i ng crop of juven i l e fi sh Lesl i e and Kobyl i ns ki

(1985) address benth i c macro i nvertebrate response to aquat i c vegetat i on

removal wh il e Sabol (1087) addresses the env i ronmental effects of aquat i c

d i sposal o f chopped hydr i l l a

2-10

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

Compar i sons of mechan i cal harvest i ng and herbi c i des address

phosphorus cycl i ng (Carpenter and Adams 1 978) and Smal l et Jl ( 1 985)

report that herbi c i des reduced aquat i c vegetat i on but d i d not el i mi nate

i t Us i ng grass carp as bi ol og i cal control s el im i nated or red uced the

vegetat i on depend i ng on the stocki ng rat i o ( Smal l et AI 1985 )

2-11

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on Hydrjlla vertic11l ata

Entri es i n B i bl i ography 37

Spec i fi c stud i es on hydri l l a i n Lake Okeechobee i ncl ude a

compari son of dens i ty data for Lake Okeechobee and three other areas of

Fl ori da wi th stud i es spec i fi c to the speci a l i zed reproducti ve structures

of hydri l l a (Sutton and Port i er 1985 53) and an ana lys i s of potass i um

n i trogen and phosphorus content i n hydri 11 a from Lake Okeechobee and

three other areas of Sout h Fl ori da ( Sutton and Porti er 1983 56)

Pl ants from Lake Okeechobee had the h i ghest concentrat i on s of each

Other types of stud i e s on hydri l l anoted

--Phys i cal and mechani cal propert i es of hydri l l a (Bagnal l 1980

59)

--Nutri ent uptake stud i es of hydri l l a (Bol e and Al l an 1978 15)

--Us i ng hydri l l a for s i l age ( Bagnal l et Al 1978 18)

--Methods for determi n i ng or est i mat i ng pl ant biomass (Maceina et

li 1984 33)

--Growth reproduct i on and l i fe hi story of hydril l a ( Langel and and

Sutto 1980 35 Bruner and Batterson 1984 43 Spencer et li 1987

48 Sutton 1982 52)

--Habi tat i mportance and ecol ogy of hydril l a communit i es and

al terations to hydril l a communities (Watkins et li 1983 45middot

Bowes et

li 1979 47 Bl ackburn et li 1968 128 Sutton and Vandiver 1986

139 Can f i el d n Al 1983 265 Mace i na and Sh i reman 1982 281

R i chard i1 Al 1985 396)

--Biol ogical control s of hyd ri l l a (Bal ciunas and Minno 1985 46

Bal ciunas 1985 116 Johnston et li 1983 36 Cas sani and Caton

1985 352)

--Mechanical control s of hydril l a (McGhehee 1979 57)

--Chemical control of hydri l l a (Martin 1983 146 Cassani and

Caton 1985 352 Frank et li 1979 365 Hughes 1974 378 Small et

Al 1985 404 Steward 1972 405 Steward 1982 406 Steward 1976

407 Steward 1987 408 Van 1985 419 Van et Al 1987 420)

2-12

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

SUMMARY

Most of the stud i es deal w ith ways to control Hydr i l l a

verticilJata as a nui sance weed The effects of harvest i ng Hydri l l a i s

frequent l y addressed wi th mi xed resul ts Bol e and Al l an ( 1978) report

that the harvest i ng of Hydri 1 1 a woul d resul t i n the d i rect transfer of

onl y a smal l amount of phosphorus in the so i l i nto the water and the

organ i cal ly-bound phosphorus removed i n the harvested pl ants woul d be

deri ved l argel y from the sed i ment and not the water body

Johnston g1 il ( 1 983 ) report on the recol oni zat i on of a smal l pond

wi th aquat i c vegetat i on where grass carp have been used to control

Hydrill a They demonstrate the feas i b i l i ty o f reduc i ng the compet i t i ve

advantage of Hydri l l a i n order to l l ow other spec i es to become

establ i shed but al so note that care must be exerc i sed i n sel ect i ng

repl acement spec i es Other aquat i c pl ants may grow as prol i fi cal l y as

the Hydri 1 1 a bei ng repl aced

Sabol ( 1 987) and Langel and and Sutton ( 1 980 ) report on the

regrowth of fragmented Hydri l 1 a w i th confl i ct i ng resul t s In f iel d

stud i es Sabol ( 1 987) tested the re -growth potent i al of chopped Hydri 1 1 a

and found that a very smal l port i on of fragments cou1 d produce new

g rowth Conversely Langel and and Sutton ( 1980 ) under control l ed

l aboratory and f i e l d cond i t i ons demonstrated that 40 of the pl ant

fragments wi th one or two nodes were capabl e of vegetat i ve reproduct i o n

Bagnal l 11 il ( 1984 ) eval uated the feas i b i l i ty o f us i ng Hydri l 1 a

for cattl e feed and Macei na 1 il ( 1 984 ) present a method for pred i cti ng

pl ant b i omass us i ng a record i ng fathometer

2-13

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on N ITROGEN

Entri es i n B i bl i ography 27

Types of stud i es noted

- - Land userunoff rel at i onsh i ps w i th nutri ents i ncl ud i ng n i trogen

( Feder i c o 1 977 3 )

- - Nutri ent i n fluences on aquat i c pl ants and phytopl ankton (Canfi el d et

li 1985 4 Can fi el d 1 983 5 Davi s 1980 20 Dav i s 1 982 27

P i eterse 1 984 42 Sutton and Port i er 1 983 56 Bl ac kburn et il

1 968 1 28 Reddy and DeBus k 1 985 13 2 Jones and Federi co 1 984 1 )

- - Water qual i ty stud i es that i ncl ude nitrogen parameters ( Lutz 1 977a

7 Lutz 1 977b 16 M i l ler 1 980 20 Mi l l er et li 1982 26 Dav i s

and Marshal l 1 975 65 Peverl y and Johnson 1 979 394 Jones 1 983

9 )

- - Nutri ent rel at i onsh i ps w i th the troph i c structure of l akes (Henri kson

11 il 1 980 32 Dye 11 il 1975 138)

- - N i trogen and other water qual i ty data for Lake Okeechobee ( Di c kson et

li 1978 66 Davi s and Marshal l 1975 65 Federi co g1 li 1981 67

Fre i betger 1972 69 Mi l l er 1975 70 Jones and Federi co 1984 1

Jones 1 983 9)

- -N i t rogen i nputs and l ake eutroph i cat i on ( Sch i ndl er 197 1 13 1

Feder i co et il 1981 67 Canfi el d 1 983 5 )

- -Den i tri ficat i on i n Lake Okeechobee (Messer et li 1979 1 43 Messer

and Brezon i c 1 984 1 58)

- -Geochemi cal exchanges across the sed i ment -water i nterface ( Burton et

il 1975 1 45 Messer and Brezon i c 1984 158 )

- -Model s pred i ct i ng n i t rogen concentrat i ons (Jones 1983 9 )

SUMMARY

Several stud i es prov i de data on n i trogen for Lake Okeechobee

(M i l l er 1 980 20 Di c kson et li 1978 66 ) Many of these prov ide

n i trogen data as part of l arger studies for i nstance Federi co et li

( 1981 67 ) summari ze seven years of water qual i ty data i n order to

ident i fy annual and seasonal trends cal cu l ate annual budgets and assess

2-14

Produced by Mote Marine Laboratory for South Florida Water Management District

the troph i c state of the l ake Two stud ies ( Fre i berger 1 972 69

Mi l l er 1 97 5 70) i ncl ude lake Okeechobee as part of l arger wet and dry

season nutri ent surveys of South Fl ori d a

Jones ( 1 983 9 ) eval uates the qual i ty o f d i scharges t o Lake

Okeechobee nutr i ent concentrat i ons affects of var i ous changes i n l ake

l evel s and the abi l i ty of var i ous model s to accuratel y pred i ct n i trogen

and phosphorus concentrat i ons Jones and Federi co ( 1984 I) al so apply

nutr i ent model smiddot to Lake Okeechobee Dav i s and Marshal l ( 1 975 65)

present i nformat i on on areal and seasonal vari at i on s of n i trogen l evel s

nutri ent l oad i ngs and budgets for Lake Okeechobee and other chemi stry

d ata

Sutton and Port i er ( 1 983 56) eval uate the potass i um n i trogen

and phosphorus content of Hydri l l a from fi ve l ocat i on s i n South F l ori da

Sampl es were eval uated for wi th i n 1 ocat i on vari abi l i ty and for between

l ocat i on vari abi l i ty and resul ts showed that pl ants from lake Okeechobee

had h i gher concentrat i ons of nutri ents than pl ants from other areas

2-15

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHOSPHORUS

Entr ies i n Bi bl i ography 135

Phosphorus stud i es speci fi c to Lake Okeechobee i ncl ude

- -An anal ys i s o f the effect o f reduced nutri ent l oad i ngs on Lake

Okeechobe chl orophyl l (Jones and Feder i co 1984 )

- -An eval u at i on of the qual i ty of d i scharges to l ake nutri ent

concentrat i on s (Jones 1983 )

- -An analys i s of the abi l i ty of vari ous model s to accurately pred i ct

phosphorus concentrat i on s (Jones 1983 )

- -A comp ari son of phosphorus content i n hydri l l a from Lake Okeechobee and

four other l ocat i ons (Sutton and Porter 1 983 )

- -Aer i a 1 and seasonal vari at i ons of phosphoru s 1 eve 1 s i n Lake Okeechobee

(Davi s and Marshal l 1975 )

-A survey of total ortho p l us aci d - hydrol yzabl e phosphorus ( P- P04)

dur i ng a peri od of h igh water and a peri od of l ow water at 1 1 stat i on s i n

Lake Okeechobee and several stat i ons el sewhere i n South Fl or1 da

(Fre i berger 1972 )

- -An anal ys i s of l i mi t i ng factors based on al gal assays on water sampl es

from 30 s i tes i n the Ki s s i mmee R i ver- Lake Okeechobee Bas i n (Dye tl AI

1 975 )

- - Stud i es on nutri ent exchange across the sed i ment-water i nterface

(Burton et il 1975 )

Add i t i onal l y spec i fi c phosphorus d ata for Lake Okeechobee and i t s

watershed are presented i n a number o f reports (Jones and Feder i co 1984

Jones 1983 Mil l er 1980 Davi s and Marshal l 1975 Fre i berger 1 972

Messer et il 1 979 Dye et il 1975 Burton et Al 1975 Lee and Jones

1975 Lutz 1 977 Mi l l er et il 1982 Di ckson et Al 1978 M i l l er 1975)

Regard i ng management pl an s for phosphorus l evel s t he Lake

Okeechobee Techni cal Commi ttee ( 1 986 ) recommended to reduce phosphorus

l oads by at l east 40 (based on the mod i fi ed Vol l enwe i der nutri ent

l oad i ng model s ) through a program of d i vers i ons and treatment

2-16

Produced by Mote Marine Laboratory for South Florida Water Management District

Stud i es out s i de the lake Okeechobee area wh i ch prov i de i nformat i on

val uabl e to the study of phosphorus i ncl ude

- - Uptake of phosphorus from sed i ment and the water col umn by pl ants ( Bol e

and Al l an 1978 Dav i s 1984 Dav i s 1982 Reddy and DeBus k 1985 Dav i s

and Harri s n d li i1 Al 1974)

- -The i nfl uence of 1 and use patterns and other control s on phosphorus

l evel s ( Federi co 1977 Mi chal ski i1 Al 1975)

- -The correl at ion of nutri ent l evel s w i th chl orophyl l and phytopl ankton

l evel s ( Canfi el d i1 Al 1985 )

- - I ndexi ng and model l i ng techn i ques for l akes us i ng phosphorus and

rel ated data ( Carl son 1977 Canfi el d 1983 Meri cas and Mal one 1984)

- - Data on removal of phosphorus by mechan i ca l l y harvest i ng pl ants

( Carpenter and Adams 1978 Wi l e 1978 )

- -Rel ati on sh i p between nutri ents and b i ol og i cal parameters ( Henri kson g1

Al 1980 Pi eterse 1984 Enn i s 197 5 Re i nertsen 1 986 )

- - Phosphorussed i ment i nteract i ons (Twi nch and Peters 1984 li et li

1 97 1

- -laboratory and other control l ed stud i es on the propert i es of phosphorus

( Shannon and lee 1966 li et li 197 1 )

--Other l i terature stud i es ( Sch i ndl er et Al 197 1 )

2-17

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHYTOPLANKTON

Entr i es i n B i bl i ography 8

Types of stud i es noted

- - Phytopl ankton stud i es for Lake Okeechobee (Marshal l 1977 1 2 Dav i s

and Marshal l 1975 65 Marshal l 1977 424 Jones and Federi co 1 984

1 )

- - Phytopl anktonnutri entl ake eutroph i cat i on rel at i onsh i ps (Canfi el d et

AI 1985 4 Sch i ndl er 1971 13 1 Hughes and McCol l 1 980 377 Jones

and Federi co 1 984 1 )

- - Phytopl ankton pri mary producti on methodol ogy ( Schearer et AI 1985

278)

--Phytopl ankton responses to aquat i c pl ant removal (R i chard et AI 1985

426)

SUMMARY

Dav i s and Marshal l ( 1975 65) present 2 - 12 years of

phytopl an kton dens i ty data for Lake Okeechobee as wel l as i nformat i on on

n i trogn and phosphorus l evel s ( areal and season al vari at i on s ) pri mary

product i v i ty changes in al gal popul at i on s nutr i ent l oad ings and

budgets ra i n fal l chemi stry dat a regress i on anal yses on bi ol og i cal

act i v i ty and chemi cal or phys i cal propert i e s and trophic state

Marshal l s ( 1 977 1 2 ) phytopl ankton dens i ty data for 1974 show peaks i n

May and September i n Lake Okeechobee Marshal l concl udes that Lake

Okeechobee exh i b i t s seasonal patterns and peri od i c i ty typ i cal of

temperate l akes al though the seasonal vari at i on i n den s i t i es i s typi cal

of a trop i cal l ake

Jones and Federi co ( 1984 1 ) present over four years of d ata on

chl orophyl l a pri mary product i v i ty phytopl ankton dens i t i es and domi nant

species They al so an al yze the effect of reduced nutri ent l oad i ng s on

L a ke Okeechobee chl orophyl l and concl ude that chl orophyl l and

product i v i ty l evel s have not changed substanti al l y dur i ng the study

peri od except that peak val ues were h i gher i n 1981

2-18

Produced by Mote Marine Laboratory for South Florida Water Management District

Canfi el d n li ( 1985 4) col l ected data from 165 Fl ori da l akes

and reported a s i gn i fi cant correl at i on between chl orophyl l a

concentrat i ons and phytopl ankton bi omass Mul t i pl e repress i on anal yses

i nd i cated that phytopl ankton bi omass was dependent on both the total

phosphorus and total n i trogen concentrati on Nutri ent-phytopl ankton and

Secch i - phytopl ankton rel ati onsh i ps for the Fl orida l akes had h i gher

coeffi c i ents of determi nat i on i f chl orophyl l a concentrat i ons rather than

bi omass data were used

2-19

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fa ct Sheet on PRIMARY PRODUCTIVITY

Entries in Bibl iography 11

Types of studies noted

- -General ecol ogy studies incl uding primary productivity (Fontaine and

Ewe l 1981 31)

- -Trophic studies of l akes (Henrikson it 11 1980 32)

--Nutrient infl uences on primary productivity (Davis and Harris no date

141)

- -Primary production methodol ogy (Shearer l1 11 1985 278)

--Primary production data in Fl orida (Odum 1974 169 Brezonic et 11

1979 155 Jones and Federico 1984 1 Davis and Marshal 1975 65

Marshal l 1974 424)

- -Seasonal primary productivi ty cycl es (Comita 1985 1195 Marshal l

1974 424)

SUMMARY

Severa 1 stud i es concern primary production in Lake Okeechobee

Brezonjc l1 11 (1979 155) report to the Fl orida Sugar Cane League on

factors affect i ng primary product ion n Lake Okeechobee Jones and

Federico (1984 1) present primary productivity data on Lake Okeechobee

for 1974-76 and 1979-82 as wel l as information on chl orophyl l a

phytop 1 ankton dens i ties and domi nant spec 1 es and an anal ys s of the

effect of reduced nutrient l oadings Their report concl udes that

ch l orophyl l and productivity l evel s have not c hanged substantial l y during

the study period except for peak val ues that were higher in 1981 and

overal l val ues were higher In the Lake s north end Marshal l (1974

424) add resses seasonal changes for primary productivity and

phytopl ankton He concl udes that considering primary productivity and

other factors Lake Okeechobee phytopl ankton dynamics resembl e temperate

l akes Davis and Marshal l (1975 65) present over two years of data on

chemical and biol ogical investigations of Lake Okeechobee incl uding

primary productivity

2-20

Produced by Mote Marine Laboratory for South Florida Water ManaQement District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet o n SED IMENTS

E ntr i es i n B i bl i ography 21

Types of stud i es noted

Most of the stud i es i nvol ve sedi ment nutr i ent ava i l abi l i ty fl uxes

and uptake by pl ants These i ncl ude reports on

-- Laboratory experiments to determi ne phosphorus uptake from the

sed i ments by Myri ophyl l ym and Hydri l l a ( Bol e and Al l an 1978 1 5 )

- - Phosphate exchange i n l ake sed i ments (Twi nch and Peters 1984 295 L i

et l 197 1 1 49 li Al 1973 )

- -Ava i l ab i l i ty of sedi ment phosphorus for macrophytes ( L i et l 1974

108)

- - Phosphorus fl uxes i n south Fl ori da marshes (Dav i s and Harri s no date

143 )

- -The i mportance of den i tr i fi cati on i n lake Okeechobee (Messer et l

1979 1 43 )

- -Geochemi cal exchanges across the sed i ment -water i nterface i n the

Ki s s i mmee Ri ver- Lake Okeechobee watershed ( Burton g1 l 1975 145)

- - lak sed i ment den i tri f i cat ion model s (Messer and Brezon i c 1 984 1 58)

There are al so a number of stud i es concern i ng the rel at i onsh i p of

sedi ment type and other factors to pl ant growth ( Bruner and Batterson

1984 43 Mart i n 1983 146 Barko et il 1983 147 Engel and

N i chol s 1 984 44 Barko and Smart 1986 106) pest i c i de and other

chemi cal res i dues i n sedi ments ( Pfeuffer 1985 298 Hughes and McCol l

1980 377 S i ms i man and Chesters 1976 402 )

SUMMARY

BUrton et l ( l979) documents the rol e of sed i ments i n determi n i ng

water qual i ty i n the Ki s s immee Ri ver-lake Okeechobee watershed wi th an

emphas i s on nutri ent exchange across the sed i ment -water i nterface They

a l so prov ide survey i nformat i on on sediment d i str i but i on and transport

Mes ser et l ( 1979) summari zes the i mportance of den i tr if i cat i on i n lake

Okeechobee i ncl ud i ng a d i scuss i on on the rol e of sedi ments i n the

2-21

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

den i tr i fi cat i on process

eval uat i on o f l ake sed i ment

Lake Okeechobee

Messer and Brezon i c ( 1 984 ) present an

den i tri fi cat i on model s and i ncl ude data from

Dav i s and Harri s ( n d ) provi de est i mates of phosphorus fl uxes

wh i ch d i rectly contri bute to uptake through pl ant growth and to retent i on

through pl ant detri tus sed i mentat i on for the Evergl ades Conservat i on Area

2

2-22

LAKE OKEECHOBEE LITERATURE REVIEW

LIST OF KEY WORDS

ABUNDANCE ( 2 ) ADSORPTION ( 2 ) AGE (1) AGRICULTURE (1) ALGAE (14) ALGAL BIOASSAY (1) ALGICIDES ( 2 ) ALKALI N I TY (1) ALKALOIDS (1) ALTERNANTHERA ( 2 ) ALTERNATHERA (1) AMMONIA (1) AMPH I PODS (1) ANALYSIS OF COVARIANCE (1) ANIMAL BEHAVIOR (1) ANIMALS ( 2 ) AQUATHOL (1) AQUATIC PLANT CHEMISTRY (1) AQUATIC PLANTS (76) AQUATIC ORGANISMS ( 2 ) AQUATIC ( 1 ) AQUIFER ( 2 ) ARGULUS ( 1 ) ARTHROPODS ( 1 ) ATHERINE FISH (1) BACKPUMPING ( 2 ) BACTERIA ( 3 ) BASS (18) BEACH HAB ITATS ( 2 ) BEHAVIOR ( 2 ) BENTHOS (9 ) BEST MANAGEMENT PRACTICES (1) B IOACCUMULATION (1) BIOASSAY (1) BIOLOGICAL CONTROL (8) BIOLOGY ( 6 ) BIOMASS (15) BIOTIC ASSESSMENT (1) BIOTYPES (1) BIRDS ( 2 ) BLACK CRAPPIE (19) BLACK BULLHEADS (1) BLUEGILL ( 1 2 ) BODY FORM ( 2 ) BREEDING (1) BROMAC I L (1) BROOK SILVERSIDE (1) CABOMBA (1)

2-23

CADDISFLIES (1) CADMIUM (1) CALLITRICHE (1) CALOOSAHATCHEE RIVER (5) CANALS ( 2 ) CARBON (1) CARBONATE ROCKS (1) CARBOXYLASE (1) CAREX (1) CATTAI LS (1) CATTLE FEED (1) CENTRARCHIDS (5) CERATOPHYLLUM (5) CHAIN PICKEREL ( 1 ) CHANN ELS ( 1 ) CHAOBORUS (1) CHARA ( 6 ) CHEMICAL CONTROL ( 66 ) CHEMISTRY (10) CHIRONOMID LARVAE (1) CHIRONOMIDS (1) CHLORIDE (4) CHLORINATED HYDROCARBONS (1) CHLOROPHYLL (11) CLADIUM ( 2 ) CLASSIFICATION (1) COEFFICIENT OF DETERMINATION (1) COMMERCIAL FISHERY (2 ) COMMUNI TIES (1) COMMUNITY STRUCTURE ( 7 ) COMPETITION ( 3 ) COMPOST (1) COMPUTER MODELS (1) CONFINING BEDS (1) CONTOUR MAPPING (1) CONTROLLED RELEASE (1) COPEPODS (1) COPPER ( 9 ) COPPER SULFATE (1) CORE SAMPLER (1) COST BENEFIT ANALYSIS (1) CRUSTACEANS ( 2 ) CTENOPHARYNGODON IDE (2 ) CULTURAL CONTROL ( 2 ) CYANATRYN (1) DALAPON (4) DEGRADATION ( 3 ) DEMOGRAPHY (1)

DENITRIFICATION (1) DENSITY (6) DESORPTION (1) DETENTIONRETENTION ( 1 ) DETRITUS (1) DEVELOPMENT (2) DIATOMS (1) DICHLOBENIL (2) DIPOTASSIUM ENDOTHAL ( 1 ) DIQUAT (89) DISCHARGE ( 1 ) DISPERS ION (1) DISSOLVED OXYGEN (14) DISSO LVED SOLIDS (2) DISTRIBUTION (16) DIURNAL (1) DRAINAGE (4) DREDGING (1) DYSTROPHIC (1) EARLY DEVELOPMENT (2) ECOLOGY (15) ECONOMIC ANALYSIS (1) ECONOMICS (1) ECOSYSTEM (1) EFFLUENT REDUCTION (1) EFFLUENT (1) EGERIA (6) EICHHORNIA (13) ELODEA (20) EMBRYO ( 1 ) ENDOTHAL-POTASSIUM ( 1 ) ENDOTHALL (20) ENTRAINMENT (2) EPIPHYTES (1) EUTROPHICATION (12) EVERGLADES ( 9 ) EVERGLADES COUNTY (1) EXOGENOUS FEEDING (2) EXPLORATION (2) FAUNA (2) FEEDING ( 9 ) FEEDING RELATIONSHIPS (2) FENAC (5) FIRST YEAR SURVIVAL ( 1 ) FISH (130) FLOOD CONTROL (1) FLOODING ( 1 ) FLORIDA (31) FLORIDA EVERGLADES (1) FLORIDA LAKES (4) FLORIDA DUCK (1) FLORIDAN AQUIFER (2)

2-24

F LOW RATES (1) F LURIDONE (9) FOOD CHA I NS (1) FOOD HABITS (2) FOOD (6) FORAGE ( 1 ) FORAGING ( 1 ) FREQUENCY ANALYSIS (1) FRESHWATER SPECIES (1) FRESHWATER DISCHARGE ( 1 ) FRESHWATER (27) FRESHWATER MARSH (1) GEOLOGY ( 9 ) GERMINATION (1) GIZZARD F I SH (1) GIZZARD SHAD (2) GLADES COUNTY (9) GLYPHOSATE ( 6 ) GRAPNEL SAMPLER (3) GRASS CARP (8 ) GREAT BRITAIN ( 6 ) GROUNDWATER (5) GROWTH (11) GROWTH INHIBITORS (1) HABITAT (2) HABITAT PARTITION ING (1) HARVESTING (7) HAUL SEINE ( 1 ) HENDRY COUNTY (9) HERBICIDES (47) HEXAZINONE ( 1 ) HIGHlANDS COUNTY (1) HISTORY (3) HOST SPECIFICITY (1) HYDRILLA (42) HYDROCARBONS (1) HYDROCOTYLE (1) HYDROGEOLOGY (2) HYDROLOGY (17) HYDROPERIOD CHANGES (1) HYGROPHILA (1) HYPERmiddotEUTROPHIC (1) ICHTHYOFAUNA (1) ICHTHYOPLANKTON (2) IDENTIFICATION KEY (1) IDENTIFICATION GUIDE (10) IMAZAPYR (1) IMPOUNDMENTS (3) IMPROVING CATCH (1) INDICATOR SPECIES (1) INORGANIC PHOSPHATE (1) INSECT CONTROL (1)

INSECTS (4) INVERTEBRATES (9) IRON (2) IRON CHELATE (1) IRR IGAT ION (2) ISOPODS (1) JASM INE (1) JUNCUS (2) JUVEN ILE F ISH (5) K ISS IMMEE R IVER (11) LABORATORY STUD IES (1) LAGAROS I PHON (3) LAKE LEVELS (2) LAKE WANAKA (1) LAKE CONWAY (1) LAKE OKEECHOBEE (89) LAKE DRAWDOWN (1) LAKES (75) LAND USE (6) LARGEMOUTH BASS (16) LARVAE (1) LARVAL F ISH (25) LEAF PRODUCTION (1) LEMNA (8 ) LEPOMIS (1) L IFE HISTORY ( 9 ) L IGHT INTENSITY (1) L IGHT TRAPS (1) L IMNOLOGY (2) LI MNO PH I LA (1) L ITERATURE SURVEY (5) L ITHOLOG IC ANALYSIS (3) L ITTORAL (12) L ITTORAL ZONE (9) LOTAC (3) MACRO INVERTEBRATES (12) MACROPHYTES (18) MANAGEMENT PLAN (3) MANGANESE (3) MARION COUNTY (3) MARSH PLANTS (3) MARTIN COUNTY (27) MASS BALANCE MODEL (3) MATERIAL BUDGET (3) MATHEMAT ICAL MODELLING (3) MATHEMATICAL MODELS (3) MECHAN ICAL CONTROL (15) MECHANICAL HARVEST ING (24) METHODS ( 9 ) M ICROBES (3) MICROPTERUS (6) MINERAL RETENTION (3)

2-25

MINERAL ADSORPTION (3) M INERAL NUTRITION (3) MINERALIZATION (3) M ISS ISSI PPI S ILVERSIDE (3) MODELING (6) MODELS (12) MOLLUSKS (3) MONITOR ING (15) MORPHOLOGY (3) MORTALITY (12) MOTHS (3) MOWING (3) MYOMERE NUMBERS (3) MYR IOPHYLLUM (84) MYSIDS (3) NAIDIDAE (3) NAJAS (18) NEKTON (3) NEMATODES (3) NEOCHETINA (6) NETS (6) N ICKEL (3) N ITRATES (3) N ITROGEN (81) NORTHERN P IKE (3) NUPHAR ( 9 ) NUTR IENTS (141) OCALA GROUP (3) OKEECHOBEE COUNTY (33) OKLAWAHA R IVER (3) OL IGOCHAETES (3) OLIGOTHROPHIC (6) ORANGE LAKE (3) ORGANIC MATTER (3) OSCEOLA COUNTY (3) OXYGEN (9) PALAEOLIMNOLOGY (3) PALM BEACH COUNTY (30) PAN ICUM (67) PARAQUAT (39) PARTICULATE MATTER (3) PASPALUM (3) PATHOGENS (3) PERI PHYTON (3) PERSISTENCE (9) PESTICIDES (27) PH ( 9 ) PHOSPHATE (15) PHOSPHORUS (135) PHOTOSYNTHES IS (12) PHYS IOLOGY (12) PHYTOPLANKTON (27)

PHYTOTOXICITY (3) PIKE (3) PISCIVOROUS FISH ( 6 ) PISTIA (15) PLANKTON (15) PLANNING (3) PLANT SUCCESSION (9) PLANT HARVESTING (9) PLANT ABUNDANCE ( 6 ) PLANT DENSITY (3) PLANT COMMUNITIES (9) PLANT SURVEY TECHNIQUES (9) PLANT COMPOSITION (9) PLANT NUTRITION (3) PLANT GROWTH ( 6 ) PLANT BIOMASS (3) POLLUTION (3) POLLUTION CONTROL (3) POLYCHAETES (3) POLYMER ( 6 ) POMACEA (3) POHOXIS ( 6 ) PONAR GRAB SAMPLER (9) PONDS ( 6 ) POPULATION DYNAMICS (9) POPULATION (21) POTAMOGETON (57) POTASSIUM (9) PREDATION (3) PREDATOR - PREY (15) PRIMARY PRODUCTION (36 ) PROPAGU1ES (3) PUMP STATIONS (3) PUMPING (3) RADAR (3) RADIOPHOSPHORUS (3) RAINFALL (18) RANUNCULUS ( 6 ) RATS (3) RECLAMATION ( 3 ) RECORDING FATHOMETER (3) RECRUITMENT (3) REDBREAST SUNFISH (3) REDEAR SUNFISH (3) REFERENCES (3) REGRESSION ANALYSIS (15) RELEASE RATES (3) REMOTE SENSING (3) REPRODUCTION (12) RESERVOIRS (51) RESIDUES (27) RESOURCE PARTITIONING (9)

2-26

RESPIRATION (3) REVIEW (3) RIVERS (42) RUNOFF (33) SAGITTARIA (3 ) SALVINIA (18) SAMPLING (15) SAMPLING METHODS ( 6 ) SAMPLING GEAR (3) SCIRPUS (3) SEA LEVEL RISE (3) SEASONAL EFFECTS (12) SEASONAL SUCCESSION (3 ) SEASONAL (9) SECCHI DISK (9) SEDIMENTARY ROCKS (3 ) SEDIMENTS (78) SEEPAGE (12) SEWAGE DISCHARGES (3) SHAD (15) SHINERS (3) SHOREFLIES (3) SHORELINE AREAS (3 ) SILICA (3) SILICON (3) SIZE CLASS ( 6 ) SNAILS (3) SODIUM ALGINATE ( 6 ) SODIUM (3) SOILS (9) SOUTH FLORIDA (24) SPARGANIUM (3 ) SPAWNING (21) SPECIES DIVERSITY (3 ) SPECIES COMPOSITION (3 ) SPECIFIC CONDUCTANCE (15) SPOTTED BASS (3 ) ST LUCIE ESTUARY (3 ) ST JOHNS RIVER (3 ) ST LUCIE COUNTY (3 ) STANDING CROP (15) STOCHASTIC LAKE MODELS (3 ) STORHWATER (3) STRATIGRAPHY ( 6 ) STREAMS (9) SUNFISH (18) SURFACE DISCHARGES (3) SURFACE WATER (21) SURFACTANTS ( 6 ) SURVIVAL ( 3 ) SUSPENDED SOLIDS (3 ) SWIM PROGRAM ( 3)

TAYLOR CREEK (6) TAYLOR CREEK WATERSHED (3) TEMPERATURE (9) TENNESSEE (6) TERRESTRIAL (6) THREADFIN SHAD (15) TILAPIA (3) TOXICITY (36) TRACE METALS (3) TRANSMISSIBILITY (3) TRANSPARENCY (6) TROPHIC STRUCTURE (30) TUBER PRODUCTION (3) TUBER DENSITY (3) TURBIDITY (12) TURION (9) TYPHA (9) UPPER TAYLOR CREEK (3) USGS (3) UTILIZATION (3) UTRICULARIA (3) VALLISNERIA (15) VAUCHERIA (3) VEGETATED HABITATS (3) VEGETATION (15) VEGETATIVE PROPAGULES (3) VEGETATIVE REPRODUCTION (6) VELOCITY (3) VERTEBRATES (3) WASTELOAD ALLOCATION (6) WASTEWATER TREATMENT (6) WASTEWATER (3) WATER SUPPLY (12) WATER RECYCLING (3) WATER LEVELS (6) WATER CONSERVATION AREA 2A (3) WATER CHEMISTRY (21) WATER QUALITY (Ill) WATER MANAGEMENT (6) WATER LEVEL (9) WATER CIRCULATION (3) WATER BUDGET (3) WATERSHED ANALYSIS (3) WEIGHT DISTRIBUTION (3) WEIR BOX (3) WET AND DRY SEASON (9) WETLANDS (9) WHITE CRAPPIE (6) WILDLIFE (3) WITHLACOOCHEE RIVER (6) WOLFFIA (3) XYLENE (6)

2-27

ZINC (3) ZOOLOGY (3) ZOOPLANKTON (21)

I I I BIOMASS - M ID-COURSE SUMMARY

I I I A INTRODUCT ION

The experimental removal of Hydr i l l a vert i c i 1 1 ata R i s bei ng

conducted to prov ide removal of nutr i ents phosphorus i n part icul ar from

Lake Okeechobee as wel l as the anc i l l ary benefi ts of i ncreased fi sh

hab i tat and nav igat i onal acces s To determi ne benefi ts and costs of

removal an i ndependent est i mate of both b i omass and nutri ent content of

vert i ci l l ata has been conducted

The bi omass sampl i ng effort was conducted i n August 1987 and was

compl eted pri or to the actual harvest i ng Stat i ons were concentrated i n

the area of the Hydri l l a mat but some non -Hydr i 1 1 a spec i es were al so

col l ected Sampl i ng l ocat i ons were sel ected on the bas i s of qual i tat i ve

cl ass i ficati ons of Hydri l l a growth character i s t ics

Based on fi e l d reconna i ssance i n Aprll and Ju l y 1987 a

s ubstant i al amount of spati al nonhomogene i ty i n both weed dens i ty and

spec i es compos i t i on was observed throughout the proposed s tudy s i te A

vari ety of env i ronmental factors such as substrate compos i t i on water

qual i ty and to a l es ser degree l i ght penetrat i on and water depth may

have been respons i bl e for these observed d i fferences Any past

appl icat i on and poss i bl e res i dual effects of weed control herb ic i des may

al so be contr i buti ng envi ronmental factors As growth character i st ics

w i th i n th i s area were not un i form i t was assumed un l i ke ly that nutri ent

content was evenly d i stri buted To quanti fy these area -wi de var i ati ons

a s ampl i ng scheme emphas iz i ng the range of Hydril l a growth cond i t i ons was

des i gned

III B MATER IALS AND METHODS

I I I B 1 Sampl e Col l ecti on

Prec i s i on measurement of Hydri l l a bi omass i s h igh l y dependent upon

the representat i veness of the sampl es as wel l as evenness of growth

character i st ics wi thi n the study s i te As di fferences i n dens i ty had

3 - 1

been observed duri ng reconnai ssance surveys fi ve Hydri l l a cond i t i on

factors were establ i shed ( see Tabl e 3 1 ) Stat i ons were apport i oned

among these fi ve categor i es rat i ng sel ected s i tes accord i ng to these

cond i t i on factors to i nsure that comparabl e representat i ve sampl es were

col l ected

As a resul t fi fteen ( 1 5 ) stat i ons were establ i shed wi th i n the

weed harvest i ng area ( Fi gure 3 1 ) Sampl i ng l ocat i ons were fi xed and

recorded i n the fi e l d us i ng Loran C (Apel co model DXL -6000 ) Sampl e

col l ect i on at each stat i on con s i sted of three repl i cated cl i pped - pl ots of

Hydri l l a removed from wi thi n a 202Sm2 sampl i ng dev i ce pl aced on the

substrate The sampl i ng box was constructed of steel pl ate 3 mm th ick

The overal l des i gn was s imi l ar to that descri bed by Mart i n and Sherman

( 1979 ) The top of the box however was covered by a d i amond pattern

screen wi th an attached hook to fac i l i tate l i ft i ng the sampl er wh i ch

contai ned the Hydr i l l a sampl e i nto the boat

The sampl er was l owered to the substrate and the Hydri l l a adjacent

to the edge of the box was cut by the d i ver wi th a kn i fe The bottom

sl i d i ng pl ate was then i nserted to conta i n the Hydri l l a sampl e and the

sampl er was then retri eved to the surface

Onl y the above- substrate port i ons of the pl ant were col l ected

s i nce thi s was cons i dered to be the port i on of the pl ant subject to

removal by the mechan i cal harvester Unconsol i d ated detri tal materi al

and roots were not col l ected Any non -Hydri J 1 a macrophytes col l ected

were separated from the Hydri l l a sampl es and treated as d i screte sampl es

Each l abel l ed repl i cate sampl e was we i ghed separatel y to the nearest gram

to determ i ne fresh wet we i ght s The i nd i v i dual repl i cates were then

i ced and shi pped to the l aboratory for dry we ight and nutr i ent content

analys i s

Add i t i onal fi el d procedures i ncl uded a near-fi el d and obl i que

photograph taken at each bi omass sampl i ng stat i on

3-2

I I I B 2 Anal yt i cal Methods

Percent mo i sture was determi ned on al l sampl es Sampl es were

dri ed at 103 - 1050C and the dri ed materi al was used i n n i trogen

phosphorus and potass i um anal yses A total of 52 sampl es were processed

(45 Hydri l l a and 7 non - Hydrjl l a fract i ons ) by MML Total Kjel dahl

n i t rogen and total phosphorus were analyzed from dri ed ground pl ant

materi al Methods ut i l i zed were from the AOAC Methods of Anal ysi s 13th

Ed i t i on 1980 Kjel dahl d i gesti on i n a bl ock d i gester of l ess than O lg

pl ant materi al was fol l owed by sampl e reconst i tut i on automated d i l ut i on

and col ori metri c determi nati on o f amon i a and phosphate by Techn i con

AutoAnal yzer II The resul tant n i trogen and phosphorus concentrat i ons

were converted to a dry we i ght basi s

Procedures for the potass i um anal ysi s are deri ved from the AOAC

Methods of Ana lys i s 13th Ed i t i on 1980 Less than 0 3g of dri ed ground

p l ant materi al was d i gested wi th n i tr ic and perchl ori c ac i ds d l l utjed

wi th 1+1 hydrochl ori c ac i d and anal yzed by atomi c adsorpt i on

1 1 1 B 3 Dat a Management

B i omass data col l ected duri ng thi s study was used to generate the

fol l ow i ng types of data

o Wet and dry wei ghts of Hydri l l a expressed as gm2

o Nutri ents [n i trogen ( N ) phosphorous ( P) potas s i um (K ) ]

per we i ght of Hydri l l a

I I I C I NTERMIM RESULTS - BIOMASS

I I I C l B IOMASS ANALYSIS

Monocul tures of Hydri l l a were present except at Stat i ons 1 2 5

9 and 13 At these fi ve l ocat i ons i nc i dental col l ect i ons of

Ceratoohyl l um sp were made I n i t i al process i ng of these sampl es

cons i sted of separat i ng Hydril l a and non -Hydri l l a spec i es and anal yzi ng

and eval uati ng each fract i on as a d i screte sampl e Once the eval uati on

3 -3

was compl eted b i omass val ues from both sets of sampl es were combi ned to

represent the overal l b i omass harvested from the study are a

B i omass val ues (dry we ights a l l spec i es combi ned ) ranged from

1 9 33 gm2 ( 02 kgm2 ) to 3 1 7 67 gmm2 (0 32 kgm2 ) (Tabl e 3 2 ) The

l ower b i omass val ues were found at stat i ons 1 and 2 wh i ch were nearshore

stat i ons The h i ghest b i omass general l y occurred at the stati ons l ocated

i n the central port i ons of the Hydri 1 1 a mat The range i n wet and dry

b i omass val ues wi th i n a confi dence i nterval of 1 plusmn standard dev i at i on

( SO ) are graph i cal l y presented i n F i gures 3 2 and 3 3 The cons iderabl e

var i at i on i n b i omass val ues among the stati ons i s rel ated to onshy

shoreoff-s hore d i fferences in stat i on l ocat i on and var i at i on in b i omass

maturi ty wh i ch i s descri bed by the prev i ous ly l i sted cond i t i on factors

rhe Hydri 1 1 a cond i t i on factors have been devel oped to prov ide an

i nd i cat i on of the vari abi l i ty of pl ant maturi ty and were used to prov ide

a prel i mi nary eval uati on of the rel ati onsh i p between pl ant maturi ty and

nutrient content The cond i t i on factors recorded at each stat i on dur i ng

b i omass sampl i ng are summari zed i n Tabl e 3 3

The Hydr i 1 1 a b i omass val ues for each sampl i ng stat i on were grouped

accord i ng to the i r respecti ve cond i t i on factor and pl otted ( F i gure 3 4 )

The resul ts of th i s group i ng dep i cts a cl ear pattern of the d i stri but i on

of b i omass versus p 1 ant maturi ty or cond i t i on factor The new growth

cond i t i ons (1 and 2) had the l owest mean bi omass val ues whi l e cond i t i on

4 (mature cond i t i on ) had the h i ghest val ue and cond i t i on 5 (senescence )

i nd i cated a decl i n i ng b i omass of the Hydri 1 1 a mat at the stati on

l ocat i ons The stat i ons sampl ed and the study area were pr i mari l y

con s idered to be represented by a mature growth cond i t i on duri ng the

August col l ecti on Cond i t i on factors ( pl ant maturi ty) are al so rel ated

to nutri ent content as i s subsequently d i scussed

A gross esti mate of b i omass i n terms of areal extent was projected

us i ng the wei ghtarea rat i o for each stat i on and then averag i ng the

rat i os It shoul d be noted however that stat i on sel ect i on for thi s

task was not random and stat i ons were del i beratel y chosen wh i ch

refl ected a range of growth cond i t i ons By the same l og i c l ocat i ons of

transects to be harvested were not random and were chosen i n an attempt

to sel ect maxi mum dens i t i es of Hydri l l a Wi th these qual i fi ers the

3 -4

average b i omass sampl ed ranged from l ess than 1 to over 14 tons per acre

and averaged 7 tonsacre Esti mates for tons of b i omass i n fres h both

wet and dry cond i ti ons al so appear i n Tabl e 3 2 The wet b i omass val ues

represent we ights of the pl ant materi al after surface water has been

removed from the pl ant by bl ott i ng wi th a dry med i um Because of t h i s

handl i ng procedure a d i rect compari son wi th the harvest contractor s

fi el d est i mates (of merely dra i ned materi al ) are not val i d s i nce the

water associ ated wi th the Hydri l 1 a cou l d add a con s i derabl e but unknown

amount to the esti mated total we ight

B iomass sampl i ng i n the study area has been l i mi ted to a s i ng l e

event and the resul t s of the samp l i ng effort do not refl ect seasonal

vari at i ons However Bowes et al ( 1 979) i nvest i g ated the seasonal

Hydri lJ a b i omass product i on of three Fl ori da l akes Lake Trafford

Orange and Jackson Thei r study i ndi cated that the t i me for seasonal

peaks i n bi omass vari ed wi th the southern most 1 ake Lake Trafford

produc i ng the max i mum Hydri l l a bi omass i n August wh i l e the more northern

l akes Orange and Jackson produced more Hydri l l a b i omass i n Novernber

I 1 I C 2 NUTRI ENT REMOVAL

Phosphorus content of Hydri 1 1 a and the potent i al for removi ng

phosphorus from the l ake system was the pri mary focus of the data

anal ys i s Secondary aspects were quant i fyi ng n i trogen and potass i um as

they rel ate to the overal l nutri ent content of the study area and

prov i d i ng i nformat i on for any poss i bl e uses for the harvested materi a l

Tabl e 3 4 summari zes the analyti cal data for bi omass sampl es

col l ected Hydri l l a and total b i omass are tabul ated separatel y s i nce

Hydri l J a i s the target spec i es of the harvest i ng program and i t compri ses

the majori ty of the pl ant materi al i n the study area Inter-spec i fi c

d i fferences i n pl ant chemi cal compos i t i on are al so reported by Boyd

( 1978) as the greatest source of vari at i on i n characteri zat i on stud i es of

aquat i c macrophytes

3 - 5

I I I C 2 1 Phosphorus

Total phosphorus ranged from 9 1 mgg to 2 68 mgg for al l spec i es

comb i ned and 91 mgg to 2 67 mgg for Hvdrill a only (Tabl e 3 4) The

comb i ned data wi th confidence i nterval s ( 1plusmn SO) are shown i n F i gure 3 5

The somewhat h i gher var i at i on i n phosphorus content at Stat i on s 2 5 9

and 13 i s est imated to occur as a resul t of the presence of non -Hvdri l l a

spec i e s at these l ocat i ons Therefore the presence of other spec i es i n

the sampl es ( i f not separated ) i s ant i c i pated to produce data that have a

greater vari abi l i ty and consequently are not as rel i abl e an est i mate of

nutri ent content as des i red for management dec i s i ons

Coeffi c i ents of var i at i on I n phosphorus content were cal cul ated

and pl otted by stat i on for comb i ned pl ants and for Hydr i l l a on l y ( F i gures

3 6 and 3 7) A compari son o f F i gures 3 6 and 3 7 however i ndi cates

that a rel at i vely smal l amount of the vari at i on observed can be

attri buted to the presence of two spec i es at a s i ngl e stat i on F i gure

3 7 demonstrates an i mportant con s iderat i on for any future sampl i ng and

asses sment effort s Sampl es o f Hydri l l a from the extremes of the

cond i t i on factors i e 1 and 5 produce data that may vary from 20 to

more than 30 i n est i mates of phosphorus content

The comb inat i on of cond i t i on factors and means for phos phorous

content at each stat i on i ndi cate a rel ati onsh i p between cond i t i on i e

re l at i ve maturi ty and phosphorus content ( F i gure 3 8) Stati ons wh i ch

cons i st pr imari ly of new pl ant growth (cond i t i on 1 ) contai n the l east

amount of phosphorus on a mgg (p l ant mater i al ) bas i s wh i l e stati on s

wi th pl ants that are descri bed as bei ng i n cond i t i on 4 (mature) have the

greatest amount of phosphorous A dec 1 i ne in phosphorus content al so

apparently accompan i es pl ant senescence

RegreSS i on anal ys i s was conducted to determ i ne the rel at i onsh i p

between b i omass and phosphorus content Because onl y one i ndependent

vari abl e (b i omas s ) was used i n the regress i on mode i t is necessary to

report only the resul ts of the two-tai l ed test u s i ng Student s t shy

stat i ons The nul l hypothes i s for the two -tai l ed test i s that there i s

no rel at i onsh i p between the dependent vari abl e and a spec i fi c i ndependent

vari abl e namel y bi omas s The t -stati st ic generated by the model

3-6

i nd i cated that b i omass s i gn i fi cantly effects phosphorus content at a 43

confidence l evel That i s there i s a 57 chance of i nd i cat i ng there i s

no rel ati onsh i p between b i omass and phosphorus i f the nul l hypothes i s i s

rejected

Add i t i onal stat i st i cal model i ng and an al ys i s i nd i cated that

b i omass at stati ons categori zed as Cond i t i on 4 were s i gn i fi cant ly rel ated

to phosphorous content at onl y a 75 confi dence l evel or a 25 chance

that a re 1 at i onshi p between b i omass and phosphorous content does not

exi st The h i gher confi dence l evel provi des some support for the use of

Hydrj 1 1 a cond i t i on factors part i cul arl y cond i t i on 4 for est i mat i ng the

nutri ent content of Hydri 1 1 a

To prov i de some prel i mi nary est i mates of potent i al phosphorous

removal rel ated to Hydri 1 1 a matur i ty each sampl i ng stat i on s phosphorous

we i ght to area rat i o was determi ned (Tabl e 3 5 ) These rat ios were then

averaged by cond i t i on factor The resu1 tant overal l phosphorus content

ranged from 16 1 bacre (cond i t i on 1 ) to 3 40 1 bacre (cond i t i on 4) and

dupl i cated the trend observed i n the b i omass data ( F i gure 3 4 )

The range of Hydri 1 1 a cond i t i ons factors and the presence o f other

macrophyte spec i es wi thi n the harvest area i nd i cates that further

defi n i t i on of the nutri ent removal est i mates are requ i red Th i s further

quant i fi cati on can be accompl i shed i n part through the use of aeri al

photographs The i nter im report by 15ampT ( 1 987 ) i nd i cates that sca1 ed

true col or and fa1 se col or i nfrared photographs of the study area have

been rout i ne1 y fl own Cop i es of these photographs and vegetat i on maps

wi 1 1 be requested from 15ampT The vegetati on maps produced from these

photographs by 15ampT wi l l be computer d i g i t i zed and acreage measurements

cal cul ated I t shoul d be noted that remote resource sens i ng techn i ques

part i cul arl y stud i es i nvol v i ng submerged pl ants have l i mi tati ons rel ated

primari l y to water depth and cl ari ty These 1 im i tati ons restri ct the

quant i ficat i on of i mmature Hydri 1 1 a represent i ng cond i t i on factors 1 and

2 because i t i s unl i ke1 y these p1 ants can be detected due to thei r

submerged cond i t i on Hydri ll a exh i bi t i ng cond i t i on factors 3 4 and 5

shoul d be v i s i bl e i n the l ate summer aeri al photographs as emergent mats

The fal se col or i nfrared aeri al photographs wi l l al so be anal yzed to

3 - 7

further separate the area i nto cond i t i on factors (3 4 and 5 ) These

refi ned est imates wi l l be i ncl uded in the fi nal report

An i ntegrated seasonal data base on nutri ent content of Hydri l l a

i n Lake Okeechobee i s l acki ng However recent data ( 1 5ampT 1988 )

i nd i cates there may be a pronounced seasonal d i fference i n t he chemi cal

compos i t i on of Hydrll l a from the l ake Hydri l l a sampl es col l ected by

15ampT duri ng January 1988 had phosphorus and n i trogen val ues that were

two to t hree t i mes h igher than the val ues reported for Aug ust 1987

(Tabl e 3 6 )

Spl i t sampl es anal yzed by the same l aboratory wh i ch prov i ded the

I SampT data provi ded veri fi cati on for the August phosphorus data reported

i n th i s study Therefore i t appears to be reasonabl e to assume that an

i ncrease i n Hydri l l a nutri ent content has occurred between August 1 987

and January 1988 The spec i fi c causes for th i s i ncrease are present ly

unknown but Federi co et al 1981 have suggested a nutri ent i nput

mechan i sm for the l ake based on l ake management W i th the fal lwi nter

i ncrease i n l ake surface area nutri ents conta i ned i n the l i ttoral zone

cou l d be transported l ake-ward by the fl ood i ng of the l i ttoral zone

Water qual i ty data from the present study does i n fact i nd i cate an

i ncrease i n i norgan i c phosphorus (P04- P ) from August 1 987 to January

1988 I t may be specul ated that i ncreased nutri ent avai l ab i l i ty may have

produced t h i s i ncrease i n Hydri l l a nutri ent content I t shoul d al so be

noted however that a seasonal i ncrease i n Hydri l l a phosphorus and

n i trogen content may occur i ndependent of any l ake management reg i me

Th i s seasonal vari at i on i n Hydri l l a nutri ent content has i mportant

rami fi cat i ons for any cont i nued or future harvest i ng programs I t al so

creates some add i t i onal quest i ons For exampl e i s th i s Hydri l l a

nutri ent i ncrease a l akewi de phenomenon or i s i t a near fi el d effect that

might be rel ated to the recent harvest i ng I f th i s i s a l akewide

i ncrease i n nutri ent content does it al so produce a correspond i ng

i ncrease i n bi omass so that phosphorus removal per acre cou l d be

max i mi zed I f th i s were true then the seasonal t i m i ng of any future

harvest i ng efforts need s to be careful l y cons i dered

Converse l y i f the wi nter i ncrease i n phosphorus content i s a near

fi el d effect rel ated to harvest i ng then perhaps harvest i ng des i gn i e

3 - 8

n umber and widths of harvested l anes needs to be re -exami ned and t i mi ng

of the harvest i ng may become l ess i mportant S i nce Hydri l l a i s a

n u i s ance spec i es al l prev i ous harvest i ng strateg i es have been a i med

toward weed el i mi nat i on for n av igat i onal purposes Because of th i s

nu i sance status management strateg i es have not been dev i sed or tested to

ut i l i ze Hydrj l l a as a nutri ent removal middotcrop middot For exampl e a seri es of

narrow but cl osely spaced cuts may be v i ewed as crop th i nn i ng wh i ch may

resul t i n greater nutri ent uptake by the adjacent unthi nned port i on of

the middotcrop middot Th i s act i on cou l d al so be coord i nated wi th n av i gat i onal

concerns and where appropri ate habi tat restorat i on or ma i ntenance

1 1 1 C 2 2 Ni trogen

As previ ous l y noted n i trogen has al so been eval uated as part of

the nutri ent analys i s N i trogen (TKN) ranged from 13 45 mgg to 26 34

mgg for al l spec i es combi ned and 13 45 mgg to 26 1 5 mgg for Hydri l l a

onl y (Tabl e 3 4) I ts d i stri but i on among stat i ons ( F i gure 3 9 ) fol l owed

the pattern prev i ousl y d i scussed for phosphorus Thi s pattern i ncl uded

the h i gh vari at i on attri buted to the presence of other spec i es ( F i gures

3 10 and 3 1 1 ) as wel l as the cond i t i on factornutri ent content

rel ati onsh i p of Hydri l l a ( F i gure 3 1 2 )

1 1 1 C 2 3 Potas s i um

The rema l n l ng nutri ent i ncl uded i n the anal ys i s was potass i um

wh i ch vari ed from 10 20 mgg to 26 28 mgg for al l spec i es combi ned and

10 20 mgg to 26 28 mgg for Hydri 1 1 a (Tabl e 3 4) Wi th several mi nor

except i ons potass i um content was a more vari abl e pl ant nutri ent than

e i ther phosphorus or n i trogen ( Fi gure 3 13 ) Thi s vari abi l i ty i n

potass i um content has al so been prev i ousl y reported by Sutton and Port i er

( 1983 )

A c o n s i d erabl e amou n t of the vari abi l i ty i n potas s i um

concentrat i ons was attri buted to the presence of other spec i es ( F i gures

3 1 4 and 3 1 5 ) but even when monocul tures of Hydri l l a are con s i dered a

h i gh amount of vari abi l i ty st i l l exi sts Kl opatek ( 1978) suggests that

3 - 9

vari at i on i n potass i um l evel s i n aquat i c macrophytes may refl ect h i gh

metabol i c demand duri ng the peri od of rap i d growth and that potass i um i s

not stored by pl ants s i nce th i s nutri ent i s read i l y avai l abl e from most

soi 1 s When grouped by cond i t i on factor the h i ghest potass i IJm contents

occurred i n the new or rapi d ly growi ng pl ants (cond i t i ons 1 2 and 3 )

( F i gure 2 - 1 6 ) Potass i um content decreases i n the l atter growth stages

assoc i ated wi th cond i t i on factors 4 and 5

I I I D CONCLUS IONS

The Hydri l l a b i omassnutri ent data anal yzed to date i nd i cates that

there are several important factors to be cons idered for future or

conti nued Hydri l l a harvest i ng programs

o Recogn i t i on and categori zati on of the rel ati ve maturi ty

state (cond i t i on factor) of the Hydri l l a mat i s i mportant

to sel ect sampl i ng l ocat i ons for nutri ent ana lys i s

o Anal ysi s of the nutri ent content of Hydri l l a i s most

preci se i e l owest sampl e vari at i on when col l ected from

areas of the mature mat The extremes of growth cond i t i on

new growth and senescence produced more vari abl e data

requ i ri ng l arger numbers of sampl es for rel i abl e mean

determi nat i ons

o Further testi ng of season a 1 d i fferences i n Hydri 1 1 a

nutri ent content and coup 1 i ng wi th harvest j ng-management

strateg i es cou l d s ign i ficantl y opt i m i ze the amount of

nutri ents removed through mechan i cal harvest i ng

I I I E RECOMMENDATIONS

Based on the data col l ected and anal yzed to date the fol l owi ng i s

the recommended course of act i on

Add i t i onal quant i tat i ve sampl i ng of Hydri l l a i n Lake Okeechobee i s

recommended Th i s add i t i onal sampl i ng effort shou l d be conducted at

3 - 10

1 ocat i ons both wi th i n the present study area as wel l as some 1 ocat i ons

out s i de of the study area Th i s general i zed pl an wi l l test for near

fi el d effects i e those effects that m ight be rel ated to harvest i ng

vs l akewi de effects Th i s sampl i ng effort shou l d be conducted quarterl y

to i nvest i gate the apparent seasonal changes i n Hydri l l a nutri ent

content Sampl i ng shou l d dupl i cate earl i er efforts and shou l d be

conducted at e i ght l ocat i on s four wi th i n and four outs i de of the present

study area

I I I F QUALITY ASSURANCE RESULTS

Tabl e 3 7 deta i l s the prec i s i on and accuracy of anal yt i cal resul ts

of dr i ed pl ant t i ssue Al l data were generated i n groups wi th

sat i sfactory qual i ty assurance cri teri a

3 - 1 1

LITERATURE CITED

Bowes G A S Hol aday W T Hal l er 1979 Seasonal vari ati on i n the b i omas s tuber dens i ty and photosynthet i c metabol i sm of Hydr i l l a i n three Fl ori d a l akes J Aquat i c Pl ant Mgt 17 61-65

Boyd C E 1978 Chemi cal Compos i t i on of Wetl and Pl ants IN Freshwater Ecol ogical Processes and Management Potenti al eds R E Good D F Wh i gham R L S i mpson C G Jackson J r Academi c Pres s N Y 378p

Freder i co A C K G D i c kson C R Kratzer F E Davi s 1981 Lake Okeechobee Water Qual i ty Stud i es and Eutroph i cat i on Assessment Techn i cal Publ i cati on 181-2 May 1981 Resource Pl ann i ng Department South Fl ori da Water Management D i stri c t West Pal m Beach FL 270pp + App

Kl opatek J M 1978 Nutri ent Dynami cs of Freshwater R i ver i ne Marshes and the Rol e of Emergent Macrophytes IN Freshwater Ecol og i cal Processes and Management Potent i al eds R E Good D F Wh i gham R L S i mpson C G Jackson Jr Academi c Press N Y 378p

ISampT 1987 Letter to Mr Ed Terczak dated Sep t 3 1987 Subj ect Chemi cal Anal yses resul ts of sampl es of Hydri l l a and mi crodeus

ISampT 1988 Letter to Mr Ed Terczak dated Jan 25 1988 Subj ect Compari son of nutri ent content i n Hydri l l a and water hyaci nth sampl es from the Demonstrat i on Project study area

Sutton D L and K H Port i e r 1983 Var i ati on of n i trogen phosphorus and potass i um contents of Hydri 1 l a i n South Fl orida J Aquat i c Pl ant Mgt 2 1 87 -92

3-12

Tabl e 3 1

Cond i t i on 1

Cond i t i on 2

Cond i t i on 3

Cond i t i on 4

Cond i t i on 5

Hvdrll l a Cond i t i on Factors to Descri be Pl ant Maturi ty i n the Lake Okeechobee Study Area

Areas of new pl ant growth rooted pl ants are l ess

than a foot h i g h

Pl ant growt h i s v igorou s but does not extend to the

surface P l ant s extend from 12 to 34 of the water

col umn i n height

Pl ant growth i s v igorous reaches the surface not

matted or at l east not brown and dyi ng on the

surface

Pl ant g rowth i s matted at the surfac e fl oat i ng

pl ants trapped s i gns of earl y decompos i t i on

P l ant mats are senescent and some open water i s

evident under mat

Source DSA Group I nc 1988

T-- 3 BiJS s_ bull aty 6 Sct irg 1tilt in _ Ia1 kee--gtee OJ --l l

my WEI lOOS lOOS

station GM2 so KGM2 so ArnE GM2 so KGM2 so ArnE

1 19 33 17 10 0 02 0 02 0 09 197 00 188 04 0 20 0 19 0 88

2 32 00 12 53 0 03 0 01 0 14 364 67 127 36 0 36 0 13 1 63

3 67 00 18 19 0 07 0 02 0 30 636 00 191 01 0 64 0 19 2 84

4 155 00 72 75 0 16 0 07 0 69 1660 33 733 09 1 66 0 73 7 41

5 195 33 85 82 0 20 0 09 0 86 1757 00 720 00 176 0 72 7 84

6 166 33 37 58 0 17 0 04 0 74 1695 33 335 67 1 70 0 34 7 56

7 263 33 56 70 0 26 0 06 1 18 2158 67 538 68 2 16 0 54 9 63

8 67 33 4067 0 07 0 04 0 30 676 33 302 63 0 68 0 30 3 02

9 184 67 94 85 0 18 0 09 0 77 1765 66 719 58 1 77 0 72 7 88

10 317 67 155 28 0 32 0 16 1 42 3165 33 1379 28 3 17 1 38 14 12

11 205 67 82 37 0 21 0 08 0 92 1716 00 500 11 1 72 0 50 7 66

12 200 67 47 60 0 20 0 05 0 90 2192 00 554 43 2 19 0 55 9 78

13 188 67 49 17 0 19 0 05 0 84 2326 00 492 11 2 33 0 49 10 38

14 116 00 29 82 0 12 0 03 0 52 1228 33 334 60 123 0 33 5 48

15 234 67 66 29 0 23 0 07 1 05 1997 33 527 08 2 00 0 53 8 91

Notes GM2= Grams Per Meter Square

SD= staOOald Deviation 1lGM2= Kilograms Per Meter Square

Dlta Ioolules Nan-Hydrilla Values for lhese stations

SOlllCe DSA Group Inc 1988

Tabl e 3 3

Cond i t i on

1

2

3

4

5

Sununary of Hydr i l l a Cond i t i on Factor by stat i on for the Lake Okeechobee study area August 18- 21 1987

Hydri 1 1 a Stat i ons

lt1 h i gh 1 2

12middot34 water col umn i n hei ght 2

at surface not matted 8 1 4 1 5

matted earl y decompos i t i on 4 6 7 1 0 1 1 1 2 1 3

senescent open water 5 9

Source DSA Group I nc 1987

Table 3 4 SUImlary ot Hyt1rllla Nl11rlent conumt nan Ole JaKe UKeeCnacee -oxty AJea 11

--- --------- - - ----- - -

Hydrilla Total Hydrilla Total Hydrilla Total p P TlltN TlltN K K

station I-CG so I-CG so I-CG so I-CG so I-CG so I-CG so

1 1 20 0 35 1 20 0 35 13 45 4 66 13 45 4 66 20 78 9 78 20 78 9 78

2 1 55 0 53 1 40 0 35 15 02 4 80 16 39 2 83 2156 12 06 16 45 6 23

3 1 43 0 06 1 43 0 06 15 78 1 37 15 78 1 37 19 66 6 19 19 66 6 19

4 2 36 0 27 2 36 0 27 20 67 2 76 20 67 2 76 20 57 4 81 20 57 4 81

5 1 28 0 14 1 47 0 30 16 49 0 88 16 93 1 10 19 09 2 11 18 99 1 98

6 1 60 0 02 1 60 0 02 17 16 028 17 16 0 28 23 56 5 57 23 56 5 57

7 0 91 0 07 0 91 0 07 15 58 0 38 15 58 0 38 10 20 0 53 10 20 0 53

8 1 37 0 15 1 37 0 15 13 60 2 50 13 60 2 50 26 28 8 25 26 28 8 25

9 1 45 0 36 1 48 0 39 17 60 2 38 17 73 2 56 18 34 5 30 18 59 5 35

10 1 96 0 14 1 96 0 14 21 35 1 69 21 35 1 69 18 71 2 73 18 71 2 73

11 1 63 0 13 1 63 0 13 16 71 0 37 16 71 0 37 16 60 5 06 16 60 5 06

12 1 81 0 12 1 81 0 12 21 97 1 04 21 97 1 04 14 43 1 37 14 43 1 37

13 2 67 0 27 2 68 25 26 15 2 29 26 34 1 97 15 89 4 52 15 89 4 52

14 2 14 0 09 2 14 0 09 20 68 1 12 20 68 1 12 23 68 1 72 23 68 1 72

15 1 33 0 11 1 33 0 11 14 01 0 47 14 01 0 47 15 82 1 99 15 82 1 99

Note All Values Expressed as Milligrams Per Gram of Dry Weight

50ur0e DSA Group Inc 1988

Tabl e 3 6

Sampl i ng Peri od Pl ant

August 1987

Tops

Steins

Whol e Pl ants

August 1987

Whol e P l ants

+January 1988

Who l e Pl ants

A Compari son of Hydri l l a Nutri ent Content for Samp l i ng Periods Conducted i n August 1987 and January 1987 i n t he Lake O keechobee Study Area

N i trogen Phosphorous (mgg-dry wei ght) (mgg-dry wei ght)

19 5 3 21

10 4 1 49

16 3 1 53

13 45 - 26 15 91 - 2 67

31 2 - 35 2 6 9 - 9 2

Source IST Augu s t 1987 Source DSA HHL August 1987

+Source IST January 1988

Tabl e 3 7 Bi omass anal ys i s qual i ty assurance resul ts

Prec i s i on Accuracy Parameter ( n X RSO SO) ( n X RSO SO)

Total phosphorus 6 3 8 1 4 4 1 0 1 7 6 5

Tota l Kje l dahl n i trogen 8 3 2 2 2 4 1 06 6 1 1 2

Potas s i um 6 3 1 1 8 5 12 1 2 43 5

zB

Figure middot3- 1 BIOMASS SAMPLING LOCATIONS

_c liOn Aalill LAaoaATOAV bullbull DA OAOb INC 18 bull

EVALUATION OF AQUATIC WEED HARVESTING DEMONSTRATION

IN LAKE OKEECHOBEE

Cl M EANS

B I O MAS S WET WE IG HT GRAS METER SQUARE

5--------------------------------------------------

45

4

3 5

3

25

1 5

1

05

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFIDENCE STATION

o LOWER COIJADENCE

re 3 2

w a 4 J a tJ) lr w-ti

o M EANS

500

450-

40

350

300

2 50

20

1 50

1 00

50

0

1 2 3 4

+ UPPER CONfIDB-JCE

_ GPnl IP INC

81 0M-ASS D RY WEIGHT CRAMS METER SQUARE

-1-5 e 7 8 sa 1 0 1 1 1 2 1 3 1 4 1 5

STAriON o LOWER (ONlDENCE

ure 3 - 3

________________________________________________________ -____ G

c- -0 (I) (I) -laquo l 0 m J 0 I-

TOTAL BI O MASS VS HYDRI LLA C ONDITIO N DRY WEIGHT GlA2

3 00--------------------------------------------

2 80

1 80

1 60

1 40

1 20

1 00

80

6 0

40

20

middot0 1 2 3

CONDITION FACTOR IS I GM2 DRY NEIGHT

4 6

Figure 3-4

J laquo It w -It 0 L-a 0 -CL lt)

o M EAtJS

M I LLI G RAM S O F TOTA L P H O S PH O RUS

3--------------------------------------------

1

1 4

1 2

1

08 -1 2 3 4

+ UPPER CONFID ENCE

5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION gt LOWER CONFlDENCE

Figure 3-

z o tr 4 gt IL o

w o b IL W o o

C O EFFI C I ENT OF VARI ATION

TOTAL PHOSFHORUS 1 00-----------------------------------------------

90

80

70

60

50

40

30

2 0

1 0-

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION

i

z o ti gt b o

w o b h W o o

CO EFFIC I ENT OF VARIATION TOTAL PHOSA-lORUS (HtDRILLA ONLY)

I OO------------------------------------------------

90

80

70

60

50

40

30

20

1 0

1

IS I CONDlllON FACTORS STATION

9 1 0 1 1 1 2 1 3 1 4 1 5

Figure 3 -7

c - t) 2 0 -1 0 I-

TOTAL PH O S PH U RS VS H YDR I LLA C O N DITI ON

3--------------------------------------------

28

2

2

1 8

1 6 1 4

1

1 2 3

CONOrTJOt FACTOR -I I MGG my yenEIGHT

4 5

ure 3-8

J laquo cr

2 2 w l-e )- 20 (( 0 b 1 8 0 (-

z 1 6 t= 1 4

1 2

1 0

8

o M EANS

M ILLIGRAMS O F TOTAL KJELDAHL NITROGEN

1 2 3 4

+ UPPER CONFDE1CE

----r f 5 bull 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION ltgt LOWER COtADENCE

-ltlilirA 3-9

z 0

gt La 0

I-Z w

0 La La w

0 0

CO EFFIC I ENT OF VARI ATION

TOTAL l1ltJtJ

4

30

2

1 0

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

IS I CONDITlON FACTOR kZ 1 CV ()

Figure 3-1 0

z o t( tr laquo gt L o

tshyZ W o L L W o o

middot

CO EFFIC I ENT O F VARIATIO N 1lltN (HfDRlliA ONLY)

1 00-----------------------------------------------

90

80

70

80

50

40-

30

20

1 0

IS I CONDlllON FACTORS STATION WJ CV(7) 3- 1 1

0 -lt- z a

I--1 0 I-

30

28

28

24

22

2

1 8

1 8

1

1

2

0 1

TOTAL TKN VS HYDRI LLA CON DITION

2 3

CONDITION FACTOR r ] GG CRY WEIGHT

3- 1 2

-oJ ( tr W gt-cr n L 0 Cl - Cl E

o M EANS

M I LL IG RA M S O F TOTAL POTASSI U M

38---------------------------------------------

2

1

8--------------------- 1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFDENCE STATION

ltgt LCJWER CONFIDENCE

z o n 4 gt LL o

I-shyZ bJ o LL LL W o o

1 00

90

80

70

80

50

40

30

20

1 0

0 -

CO EFFIC I ENT O F VARIATION POTASSIUU

-- _-_------ ------

1 2 3 4 5 8 7 8 1

IS I CONDITION FACTOR STATION ---

l2 J cv(-)

1 4 1 5

3- 1 4

z 0 t a oC gt Iamp-0

--

It

r z w 0 lamp-Iamp-w 0 0

C O EFFIC I ENT O F VARI ATION

POTASSlUA (HfffiILLA 011 Y) 1 00 - - - - - - -- - ---- - - - -- - -- - - - ---- --- - -- - - - - - - - - - - -- - - - - -

90

80

70

60

50

40

30 -

20

-

1 0

0 - 1 2 3 4

IS I CONDIllON FACTORS

l 7

J

r t

I 10 1 1 1 2 13

STATON LUd CV ( )

3- 1 5

TOTAL P OTASS I U M VS HYD RI L LA CON DITI ON

30------------------------------------------

28

28

1 2 3

CONDfTION FACTOR 1 I GG y WEIGHT

4 5

3- 1 8

IV WATER QUALITY SURVEYS

IV A INTRODUCTION

Concerns for water qual i ty i n Lake Okeechobee are pr i mar i l y

focused on nutri ent storage and cycl i ng between the water col umn

sedi ments and bi omass and the impl i cat i ons of these processes for the

current and future troph i c state of the l ake The harvest i ng

demonstrat i on project undertaken by the South Fl ori da Water Management

Di strict and conducted by I nternat i onal Sci ence and Technol ogy I nc

( ISampT) i s one of the remed i al measures proposed to arrest the apparently

i ncreas i ng troph i c state The harvest i ng and subsequent upl and d i sposal

of Hydrj l l a i s bei ng u sed to effect the removal of total nutri ents

( phos phorus in part i cul ar) from the aquat i c system The Di str i ct s

eval u at i on and research project ( EampR) conducted by Mote Mari ne Laboratory

(MML) was des i gned to del i neate other env i ronmental i mpacts and cost

benefi ts associ ated wi th mechan i cal weed removal

The goal of the water qual i ty task of the EampR s tudy was to

del i neate changes that cou l d be attri buted to the removal of dense stands

of Hydri l l a vert i c i l l ata ( Fi gure 4 1 ) Al though the i mmed i ate i mpacts of

weed harvest i ng on water qual i ty may be substant i al those wh i ch

perS i sted over a peri od of t i me were expected to be fai rl y smal l and

l ocal i zed due to the advect i ve barri er of the Hydri l l a mat Accord i ngl y

i n order t o resol ve these changes from background vari abi l i ty grad i ents

of water qual i ty were assumed to exi st across the s i te al though they may

be wea k

The sampl i ng program was desi gned t o al l ow the stat i st i c al

eval uat i on of water qual i ty d i fferences between stat i ons at any one poi nt

i n t i me prov id i ng enough anal yt i cal data to produce mean i ngful

compari sons As a resu l t a mi n i mum of tri pl i cate col l ect i on s per

stat i on were necessary Th i s approach was preferabl e to more frequent

sampl i ngs because i t centered on quant i fy i ng i mpacts at part i cul ar

i nstances rather than on a conti nu i ng bas i s when seasonal processes i n

the study area woul d compl i cate anal yses of data

4 - 1

Water qual i ty i nformati on i s al so necessary for the i nterpretat i on

and anal ys i s of many of the other tasks Phytopl ankton and pri mary

product i v i ty stud i es i n part i cul ar are heavi l y dependent on t h i s task and

wi l l exami ne ava i l abl e nutri ents tox i c compounds ( copper) as wel l as

phys i cal data produced by thi s tas k Accord i ng l y sampl i ngs for water

qual i ty were conducted on each of the days that Envi ronmenta 1 Qual i ty

Laboratory ( EQL) depl oyed primary producti v i ty equ i pment In add i t i on

certa i n parameters (d i ssol ved s i l i cates col or and i norgan i c carbon )

were added to the analyti c al su i te at stat i ons where product i v i ty was

be i ng determi ned Water qual i ty sampl i ngs were al so conducted wi th i n 24

hours of the communi ty metabol i sm task fi el d efforts and wi th i n two weeks

of l arval and juven i l e fi sh sampl i ngs

IV B METHODS

IV B l Water Qual i tv Stat i on locat i ons

The northern 1 200-m (4000 ft ) of Transect 3 was des i gnated as the

experimental transect where a majori ty of the tasks focused the i r

efforts Th i s harvested area was sel ected based upon central 1 ocat i on

wi th i n the study s i te representati veness of the study s i te as a whol e

wi th respect to depth fetch shore proxi mi ty and speci es compos i t i on

and the dens i ty of the Hydri l l a mat of the area

Stat i on l ocat i ons for most sampl i ng s of the water qual i ty task

were i l l ustrated i n F igure 4 2 a superi mposed on the Loran C l i nes mapped

for the study s i te dur i ng the August 1 987 reconnai ssance A tabul at i on

of Loran coordi nates of these stat i ons appears i n Tabl e 4 1 Stat i ons

were establ i shed to defi ne any ex i st i ng water qual i ty grad i ents across

the s i te as wel l as i mpacts due to harvest i ng and so extend beyond the

boundari es of the area schedul ed for harvest Stat i ons 1 2 3 13 1 5

and 1 6 represented the perimeter o f the study s i te Stat i ons 7 - 9 were

l ocated on the northern hal f of Transect 3 the experi mental transect

and represented the treatment stat i ons the treatment be i ng harvest i ng

Control ( unharvested ) stat i on 10- 1 2 were adj acent to the

experi mental transect i n the unharvested l ane between Transects 3 and 4

4 -2

( Stat i ons 4 -6 were al ternate control stati ons to be used onl y i f unusual

cond i t i ons at Stat i ons 10- 1 2 i nd i cated that they woul d not represent

und i sturbed cond i t i ons These stat ions have not been occup i ed to date )

Stat i ons 7 - 1 2 were al so the same areas sampl ed for phytopl ankto n benth i c

i nfauna and sed i ment chemi stry Stat i on 1 5 was or i g i nal l y establ i s hed

beyond the southern end of Transects 6 and 7 However dense growths of

Amer i can Lotus i n the area made i t l i kel y that water exchange was

mi n i mi zed wi th the rest of the study area Th i s stat i on was accord i ng l y

moved t o the north but kept between transects s o that i t represented

unharvested cond i t i ons

I V B 2 Parameters

In liY i nstrumentat i on (Hartek Hark V I I ) was used to determi ne

depth profi l es (at 0 2 and 0 5 meter i ncrements from the surface and at

bottom) of temperature conduct i v i ty pH and ox idat i on-reduct i on

potent i a l (ORP) bull Di ssol ved oxygen ( DO) meters ( YS I 57 pol arographi c

el ectrodes equ i pped wi th st i rrers ) were used to measure DO at the same

depths Heters ( and i nstruments ava i l abl e as backup equ i pment ) had been

bench cal i brated aga i nst known standards or phys i ca l constants pri or to

each sampl i ng Cal i brat i ons of the meters empl oyed were repeated

fol l owi ng each sampl i ng L i -Cor i ntegrat i ng photometers were ut i l i zed to

quant i fy i nc i dent and penetrant l i ght Care was taken i n performi ng

these measurements to mi n i mi ze weed d i sturbance i n l oweri ng the

i nstruments and ext i nct i on coeffic i ents were cal cul ated from both the

upper ( 0 5 m) and l ower ( bottom) read i ngs to provi de est i mates of both

weed mass and water col umn l i ght attenuati on Water sampl es were

col l ected for l aboratory analys i s outs ide of the i nfl uence of any meter

d i sturbances

Sampl es were secured us i ng a non -metal l i c i mpel l er-type pump wi th

a weed excl ud i ng cage mesh s i ze of 1 mm ( F i gure 9 3 ) The cage was

l owered wi th a mi n i mum of d i sturbance to the weed mat to prevent

resuspens i on and entrai nment of l oose ly attached al ga l materi al or other

pl ant debri s Th i s col l ecti on techn i que was empl oyed for al l sampl i ngs

Chemi cal parameters i ncl uded al l standard n i trogen and phosphorus

4-3

spec i es Inorgan i c forms - -orthophosphorus ammon i a- n i trate- and

n i tri te -n i trogen - - were determi ned on fi l tered sampl es ( 0 45 micon

effect i ve pore s i ze ) to ascerta i n the ava i l abl e amounts most mean i ngfu l

for b i ol og i cal assessments Potass i um and sodi um were quant i f i ed on a

fi l tered sampl e Trace metal concentrat i ons copper ( Cu ) and i ron ( Fe )

al so were determi ned o n fi l tered sampl es due t o the affi n i ty of these

e l ements for suspended part i cul ates

Total organ i c carbon total Kjel dahl n i trogen total phosphorus

and al kal i n i t i es were determi ned on unfi l tered s ampl es as was

bi ochem ica l oxygen demand Turb i d i ty and suspended l oads were quant i fi ed

and total col i form was analyzed by the membrane fi l ter techni que The

analys i s of sampl es for sod i um chl ori de and fl uori de concentrat i ons was

performed to permi t water mass cal cul at i ons and determi nat i on of water

qual i ty grad i ents across the s i te Anal yses necessary for the pri mary

product i v i ty task were col or d i ssol ved s i l i ca and i norgan i c carbon

Water qual i ty anal yt i ca 1 methods used were those approved by the

Envi ronmental Protect ion Agency ( EPA ) and the Fl orida Department of

Envi ronmental Regul ati on ( FDER) Method references anal yt i cal hol d i ng

t i mes and preservati ves are detai l ed i n Tabl e 4 2

Lake l evel s for spec i fi c dates were obtai ned from the Di stri ct and

represent 1 ake wide averages of stage recorders operated by both the

Di stri ct and the u s Army Corps of Eng i neers

IV B 3 Sampl i ng

There were four types of water qual i ty sampl i ngs each vary i ng i n

the numbers of stat i ons sampl ed t imi ng of col l ecti ons or parameters

anal yzed The s ampl i ngs were enti tl ed basel i ne short - term impacts

quarterl y and fi el d demonstrati on Col l ect i ons were focused around the

experimental transect Analyti cal sui tes i nc l uded both phys i cal and

chemi cal parameters Sampl i ngs performed to date appear i n Tabl e 4 3

4 -4

Basel i ne Sampl i ng

Basel i ne sampl i ng was conducted on August 18 1 987 pri or to any

harves t i ng act i v i ty wi t h i n the s i te The day was cl ear hot and cal m

Average l ake l evel for the day was 4 22 m ( 13 85 ft ) A total of n i ne

( 9 ) l ocati ons ( Figure 4 2 ) was sampl ed to establ i sh a grid of control

stat i ons ( Stat i ons sampl ed were 1 2 3 10 1 1 12 13 1 5 and 16 )

These stat i ons were al l i n areas where no harvest i ng act i v i t i es were

schedul ed Stat i ons 10 1 1 and 1 2 were l ocated i n a heavi l y weeded

area whi l e the rema i n i ng control stat i ons were outs i de the area to be

harvested and were i n comparati vely open water At each stati on a total

of three separate sampl es was col l ected from a depth of 0 2 m for

l aboratory analys i s

At Stati ons 1 3 13 and 16 sampl es were al so sec ured from 0 8

of the overal l depth Water depth ranged from 0 9 to 2 0 meters at al l

stat i on s These corners of the study si te represented the spat 1 a1

extremes and water qual i ty data from surface and at depth were used as

i nd i cat i ons of verti cal gradi ents over the s i te

One add i t i onal stat i on at the mouth of the K i s s i mmee R i ver

( Stati on 20) was sampl ed at the surface (0 2m ) The effect of thi s

tri butary on l ake nutri ent l oad i ng and resul tant spat i al grad i ents may

thus be cons i dered Th i s s i ng l e sampl e however was not i ncl uded i n

stat i st i cal anal yses

A total of fourteen ( 14) stati on-depths resul ted from thi s

sampl i ng for a total of forty ( 40 ) sampl es for anal ys i s In ll1Y and

l aboratory analyses i ncl uded al l wi th the except i on of col or s i l i cates

and org an i c carbon as no phytopl ankton sampl i ng was conducted duri ng

th i s epi sod e Sampl es for total col i form were col l ected from Stat i ons

10 1 1 and 1 2 onl y ( n i ne sampl es)

Short Term Impacts Sampl i ng

Two short term impacts water qual i ty sampl i ngs were conducted

i mmed i atel y after and approx i matel y one week fol l owi ng the compl et i on

of harvest on the exper imental transect These sampl i ngs were i n

4 - 5

conjunct i on wi th and on the same day as phytopl ankton and pr i mary

product i v i ty sampl i ngs Sampl es were col l ected from Stati ons 10 1 1 and

1 2 the control stat i ons and from Stat i ons 7 8 and 9 the experi mental

stat i ons ( F1 gure 4 5 ) Experimental stat i ons were l ocated approxi mately

150m 600m 1070m ( 500 ft 2000 ft and 3500 ft ) from the northern end of

the transect and were approximate ly 75 m ( 250 ft ) from e i ther edge of the

harvested area Contro 1 stat i ons were pa i red wi th each experi mental

stat i on and were adj acent approx1mate1y mi dway between Transect 3 and 4

1 n the center o f the unharvested are a Sampl es were col l ected from 0 2m

depth onl y

Aquat i c weed harvest1 ng on the experi mental transect began

September 3 1987 and the northern 1 220 m was compl eted on September 1 7

Dur1 ng th i s and the succeed 1 ng dayt 1 me sampl i ng events the ongo i ng

harvest of weeds cont i nued nearby An MHl fi el d crew conducted sampl i ng

on September 1 7 a hot cal m and cl ear day when l ake l evel s averaged 4 13

m ( 13 56 ft ) Th 1ck Hvdri 1 1 a growth was v 1 s i b1 e at depth w1 th i n the

tran sect Another sampl i ng occurred on September 22 1987 ( l ake l evel

4 1 2 m ( 1 3 51 ft raquo under s imi l ar cond i t i ons Regrowth of Hydri 1 1 a i n the

experiment al transect was extens ive by th i s date Sampl es were col l ected

near the mouth of the Ki s s immee Ri ver on both occas i ons Seven ( 7 )

stat i on depths resul ted 1 n the col l ect1 0n o f n i neteen ( 1 9 ) sampl es on

eah date Al l in si tu parameters and l aboratory anal yses were i nc l uded

Quarterl y Sampl i ng

As wi th the i mmed i ate i mpacts sampl i ng s quarterl y sampl i ngs were

conducted i n conjunct i on wi th phytopl ankton work Stat i ons sampl ed

i nc l uded 1 2 3 7 8 9 10 1 1 1 2 13 1 5 and 16 at 0 2m depth

( F i gure 4 2 ) and Stat i ons 1 3 1 3 and 16 at 0 8m overal l dept h

S i xteen ( 16 ) stat i on depth s pl us one ri ver sampl e resul ted i n at l east

49 sampl es duri ng each of the four efforts In s i tu and 1 aboratory

parameters i ncl uded al l those l i sted wi th the except i on that total

col i form d i s sol ved s i l i cates col or and i norgan i c carbon were anal yzed

on l y on sampl es from Stat i ons 7 8 9 1 0 1 1 and 12 onl y ( the

exper i mental stat i ons and the i r control pa i rs )

4 -6

Quarterly sampl i ngs took pl ace on September 30 1 987 and January

1 3 1 988 wi th the rema i n i ng sampl i ngs schedul ed for Apr i l and June 1988

Lake l evel s were 4 1 4 and 4 90m ( 1 3 60 and 16 07 ft ) i n September and

January respect i vel y The September event was conducted o n a bl ustery

day (wi nds from the west at 5- 10 kts ) wh i ch l ater produced a dr i v i ng

rai nstorm Vi s i b i l i ty both in and above the l ake was obscured currents

were al so noted Li ght and vari abl e w i nds from the NE to W were noted

duri ng the January sampl i ng Hydrilla had regrown to t he surface i n some

cases by th i s date but otherwi se was not often vi s I b1 e due to i ncreased

l ake l evel s

The northern 180m of the experi mental transect was reharvested

duri ng December 1987 Stati ons 7 and 10 were sampl ed i n January and thus

represented a t h i rd treatment ( 1 e harvested twi ce ) In order to

ma i nta i n a bal anced des i gn for stat i st i cal anal yses however two ( 2 )

stati ons were added t o the sampl i ng schedul e The pos i t i on of Stat i on

7 5 was just south of the mowed sect i on and another control ( 10 5 ) was

added i n a comparabl e l ocat i on south of Stat i on 1 0 Stat i ons 7 5 8 and

9 then became the experimental group to be consi dered i n data analyses

F i el d Demonstrat i on Sampl i ng

Water qua 1 i ty impacts duri ng the actual harvest i ng process were

expected to be pri mari l y a product of turbul ence generated by harvest i ng

These effects were al so expected to be fa i rl y l ocal i zed due to the

dens i ty of the weed mat Any temporary resuspen s i on of organ i c detr i tus

or el evat i on of sol i ds or nutri ent concentrati ons wou l d be establ i shed by

an i ntens i ve t i me seri es wh i ch woul d exami ne the degree and durat i on of

any d i sturbance

The fi el d demonstrat i on water qual i ty samp l l ng was conducted on

October 28-29 1 987 when l ake l evel s were at 14 26 ft Three pai rs of

stat i ons approxi matel y 100 ft apart were establ i shed at the northern edge

of the wi nd fence or harvested area l ocated between Tran sects 2 and 3

( Fi gure 4 6 ) Subsequent to preharvest sampl i ng a harvester made two

passe s each approx i mately 100m l ong A smal l barri er of Hydri l l a ( ca

3m w ide ) was l eft i ntact between the harvested area of Transect 2 and the

4 - 7

RharvestedR area for th i s study Stat i ons were i dent i fi ed as Rcut R (Cl

C2 C3 ) or R uncut R (UCl UC2 UC3 ) duri ng th i s effort

Fol l owi ng the two passes of the harvester over the experi mental

swath no more harvest i ng occurred in that area for at l east 24 hours A

t i me seri es of sampl es were col l ected from -each of the s i x ( 6 ) stat i ons

Data were to be compared from each of the two stat i on types for

quant i fyi ng i mpacts and traci ng the i r durat i o n

Sampl es were col l ected a t 0 2m and 0 8m o f the overal l depth us i ng

the pump and the weed excl ud i ng cage to el imi nate the l argest Hydri l l a

fragments from the sampl e Col l ect i ons took pl ace i mmedi atel y pri or to

the passage of the harvester immedi atel y subsequent to the harvest of

the experimental stat i ons (wi th i n approxi matel y 0 5 hr) and then aga i n

at roughl y 2 5 10 and 24 h r i nterval s after the harvest Sampl es were

not col l ected i n tri pl i cate i nstead the three stat i ons i n each

treatment type formed the basi s for stati sti cal compari son A total of

twel ve ( 1 2 ) stat i on depths and s i x (6) col l ect i ons resul ted i n seventyshy

two sampl es for ana lys i s The s i x col l ect i ons were i dent i fi ed as rounds

1 -6 i n data pri ntouts In 11Y parameters to be determi ned i ncl uded al l

l i sted with the except i on of l i ght penetrat i on and secchi depth

measurements Total col i form was not anal yzed due to the extremel y short

hol d i ng t i me of that parameter nor were repet i ti ve l i ght measurements

wh i ch have a h i gh potenti al for d i sturbance of the water mass due to the

actual sampl i ng process Suspended l oad and turbi d i ty anal yses were

ut i l i zed for est imates of l i ght attenuat i on S i l i cates col or and

i norgan i c carbon were not anal yzed as no phytopl ankton work was

conducted at th i s t i me

IV C INTER IM RESULTS

Al l water qual i ty data col l ected through the m idpo i nt of thi s

project appear i n Append i x 4 A and i ncl ude in s i tu and chemi cal anal yses

from the sampl i ngs performed on August 18 September 1 7 September 22

September 30 and October 28-29 1 987 and January 13 1 988 Means of

al l parameters measured i n the study s i te are presented i n Tabl es 4 4

and 4 5 by date but wi thout regard to treatment stat i on or depth

4 -8

The most notabl e of the in ll1Y parameters i s di ssol ved oxygen

More than 32 of al l observat i ons made were i n v i ol ati on of t he 5 0 mg1

i nstantaneous d i s so 1 ved oxygen cri teri on for C1 ass I waters and 20 of

a l l observat i ons were bel ow 4 0 mg1 (Tabl e 3 4 ) Samp1 i ng t i mes were

skewed toward the morn i ng hours and were thus abl e to record the effects

of pre-dawn resp i rati on of aquat i c vegetat i on at the s i t e

Surface sampl es were al so col l ected i n the Ki s s i mmee Ri ver

approximatel y midway between the S R 78 bri dge and Lake Okeechobee i n

add i t i on t o those sampl es spec i fi ed by the scope of work (Tabl e 4 6 )

Ion content ( sod i um potass i um chl ori de al kal i n i ty s i l i cates )

typi cal l y was l ower i n the ri ver than the s i te waters and i ncreased

sod i um and chl oride concentrat i ons were observed i n the southern port i on

of the study area The ri ver was general l y l ess turbi d ( turbid i ty total

suspended sol ids ) hi gher in col or and apparent ly represented a source

of d i ssol ved i ron to the area

Both throughout the s i te and i n the Ki ss immee Ri ver d i ssol ved

copper l evel s i f detected were only sl i ghtl y above the l i m its of

detect i on The same was true of n i trite-ni trogen wi th the excepti on of

the January sampl i ng On th i s date concentrati ons at the Ki ss inunee

stat i on were h i gher (0 027 mg1 ) than the rema i nder of the stat i on s and

concentrat i on grad i ents were apparent across the study s i te Data on

col or si l i cates and i norgan i c carbon al though presented i n the

append i x wi l l not be extens i vel y analyzed i n thi s sect i on as such data

were pri mari l y col l ected for use i n i nterpretat i on of phytopl ankton

anal yses

IV D DATA REDUCTIONS

Stati sti cal anal yses of i n s i ty and chemi cal data empl oyed one and

two-way analyses of vari ance where treatment effects ( harvested non shy

harvested stat i ons depths ) were consi dered as fi xed (Model I ANOVA)

Two-way anal yses were conducted empl oyi ng the same assumpt i ons when the

rel at i ve magni tude of effects was of i nterest S ign i fi cance l evel s were

set at 0 05 ( P 95) Except where noted anal yses ut i l i zed the

untransformed val ues of the vari ous parameters Log ( base e) data

4-9

trans format i ons were usual ly used to approxi mate normal d i stri but i ons

Parameters trans formed for analys i s i ncl uded orthophosphate ammoni a

n i trate -n i tri te-n i trogen potass i um i ron BOD turbi d i ty TSS and

sod i um

When vari ances among groups were s i gni fi cant i nd i v i dual means

were contrasted us i ng e i ther Student t-tests or Tukey s Student i zed Range

Test wh i ch computes the smal l est HSD ( honestly s ig n i fi cant d i fference )

for determi n i ng d i fferences Both were ap pl i ed at the P - 95 l evel

IV E DISCUSSION

IYr E I In 1i1Y Parameters

D i ssol ved oxygen l evel s and percent s aturat i on of d i ssol ved oxygen

were expected to show the most change from harvest i ng act i v i ti es W ide

d i urna 1 swi ngs shoul d be damped by the removal of 1 arge amounts of

Hydril l a D i urnal pH cycl es and to a l esser extent ORP woul d be

expected to fol l ow thi s pattern as l ess vegetat i on woul d be present to

con sume carbon d i ox ide Seasonal cycl es were expected i n temperature

data however d i urnal cycl es and verti cal thermal grad i ents were l ess

l i kely 1 n areas where dense stands of fl oat i ng Hydri l l a had been removed

For al l parameters wi nd generated m ix i ng i n harvested areas shou ld

1 es sen the degree of al l surface-to-bottom grad i ents Any changes i n

conduct i v i ty at a part i cul ar l ocat i on as a resul t of harvesti ng woul d be

i nd i rect and woul d l i kel y refl ect al terat i ons i n current structure by

removal of the Hvdri l1a mat and the i ncreased fl ush i ng i n harvested

areas

Due to the obv ious d i fferences between sampl i ngs anal yses of i n

tliY data empl oyed two -way ANOVAs usi ng date and treatment ( harvested

Stat i ons 7 8 and 9 and non-harvested Stati ons 10 1 1 and 1 2 ) as

factors Further as vert i cal grad i ents for some parameters appeared

substant i al data sets were al so subd i v i ded i nto surface and bottom

readi ngs and exami ned separately Data were anal yzed from the sampl i ngs

of September 1 7 22 and 30 and January 13 As ant ic i pated sampl i ng

date was a h i ghl y s i gn i fi cant factor for al l i n s i tu parameters

4 - 10

conduct i v i ty ORP pH temperature DO and percent saturat i on Those

parameters exh i bi t i ng d i fferences attri butabl e to harvest i ng impact were

DO and percent saturat i on at both surface and bottom and pH at bottom

No i nteract i ve terms were s i gn i fi cant i nd icat i ng a consi stent and

pred i ctabl e pattern of d i fferences

Di ssol ved oxygen l evel s averaged between 0 5 and 3 6 mgl h i g her

i n the experi mental ( harvested ) transect than i n the adj acent control

stat i ons Th i s pattern was general ly most ev i dent from read i ngs at the

bottom of the water col umn Overal l i ncreases i n percent saturat i on were

approxi mately 20

It shoul d be noted that the majori ty of these data were col l ected

before 1000 ( EST ) and that th i s t i mi ng affected both the magni tude and

the d i rect i on of d i fferences i n DO l evel s Had sampl i ng been conducted

predomi nantly dur i ng mid- to l ate afternoon i t i s most probabl e that the

unharvested and heav i l y weeded areas would have had s i gn i fi cant ly h i gher

DO val ues than the adj acent harvested areas The observed pattern i s

cons i stent wi th an enhanced pre-dawn DO middot sag middot i n areas wi th h i gher

dens i t i es of aquati c vegetat i on (control s ) To ensure that no bi as was

i ntroduced by sequence of sampl i ng on each date stat i ons were ranked by

t i me of sampl i ng the ranks summed by treatment and compared Duri ng that

sampl i ng with the most d i screpancy between treatment rank sums September

30 DO l evel s i ndi cated that thi s was not a seri ous factor

The overal l s i gni fi cance of date i n the previ ous anal yses was due

predomi nantl y to the i ncl us i on of the January data set as can be deduced

from the means presented i n Tabl e 4 4 W i th removal of th i s data set and

reanal ys i s of the three September sampl i ngs the onl y parameters where

date was a s i g n i fi cant factor were pH and ORP I n attempt i ng to quant i fy

the i mmed i ate i mpacts of harvest i ng the removal of the January data set

can be j ust i fi ed on the bas i s that the regrowth of Hydri l l a was

essent i al l y compl ete by th i s sampl i ng and that there were no obv i ous

d i fferences between experi mental and control stat i ons The s i gn i fi cant

d i fferences between experimental and control s for DO percent saturat i on

and bottom pH however were essent i al l y the same i n th i s reanal ysi s

i mpl y i ng that the i mpacts were most marked e i ther wi th i n the th i rty days

of harves t or duri ng that part i cul ar port i on of the growi ng season

4- 1 1

The i ntens i ve fi e l d demonstrat i on sampl i ng carr i ed out on October

28 and 29 1 987 to del 1 neate the invned i ate impacts of harvest i ng was

pr i mari ly desi gned to measure turbid i ty associ ated parameters or

nutri ents rel eased from the sed iments as a resul t of the passage of the

harvester The in 1iY data co 1 1 ected however were subjected to an

ana l ys i s s i mi l ar to the above (Tabl e 4 7 ) D i fferences between harvested

and unharve sted areas were s i gn i fi cant here for a l l parameters but

pri mar i l y for the val ues at depth D i ssol ved oxygen duri ng - th i s

samp 1 1 ng however was l ower overa 1 1 i n the harvested area As water

col umn oxygen demand (BOD ) was comparabl e between transects reference to

sampl i ng t imes the majori ty after 1000 EST cl ari fy thi s apparent

d i screpancy These d i urnal cycl es are apparent i n F i gure 3 7

Duri ng the i mmedi ate impacts sampl i ng conduct i v i t i es were

s i gn i fi cant ly h i gher i n the experimental area than at the control

stat i ons wi th i n one hour of the passage of the harvester ( F i gure 4 6)

Cond i t i ons i n both areas had been comparabl e just pri or to the harvest

Th i s may i l l ustrate the rap id i ty wi th wh i ch fl ush i ng rates are i ncreased

Al l other in 1i1Y parameters wi th the except i on of percent saturat i on

exh i b i ted s ign i f i cant changes over t ime part i cul arly a t the bottom of

the water col umn These are i l l u strated for the rema i n i ng parameters i n

F i gures 3 9 through 3 1 1 where subtl e di fferences produced by harvest i ng

are superi mposed upon d i urnal cycl es The magni tude and s i gn of

d i fferences for many parameters in add i t i on to DO between harvested and

control stat i ons were heav i l y dependent on the t i me of day

Vert i cal grad i ents i n vari ous parameters were expected to be

reduced as a resul t of the removal of the advect i ve barri er of the

Hydri l l a mat and the consequent i ncrease i n wi nd -generated mi x i ng

Anal yses of vari ance of surface mi nus bottom in s i tu val ues as a s i ng l e

vari abl e were performed wi th stati ons

( harvested ) and control ( unharvested

comparat i ve ly non -weeded stat i ons ) Of

categori zed i nto experi mental

i ncl ud i ng both weeded and

the s i x sampl i ngs anal yzed i n

th i s manner surface to bottom grad i ents were most often observed for pH

DO and percent satura t i on Surface DO val ues ranged between 0 3 and 3 8

mgl h i gher (4 -46 saturat i on ) and surface pH between 0 04 and 0 2 SU

h i gher

4 - 1 2

Surface to bottom grad i ents were a 1 so apparent i n both

experi mental and control areas duri ng the immed i ate i mpacts sampl i ng of

October 28 and 29 Except for conduct i v i ty vert i cal grad i ents for these

two treatments were not stat i st i cal l y d i fferent from one another when the

fi ve post -harvest sampl i ng rounds were consi dered as a un i t Thi s

s i mi l ari ty i n grad i ents however shoul d not be confused wi t h the

d i fferences previ ousl y demonstrated between treatment areas for th i s

sampl i ng as the grad i ent anal ys i s i s concerned onl y wi th the d i fference

between surface and bottom val ues and makes no statement concern i ng the

rel ati ve posi t i ons of i nd i v i dual val ues

The fact that gradi ents were present at al l i n the harvested area

duri ng October may impl y that the d i mensi ons of the pl ot from wh i ch

HydrjJ l a was removed ( approxi matel y 6 by 1 20 meters ) were i nsuffi c i ent

for exi st i ng wi nd d i rect i on and vel oc i ty to cause substanti al mix i ng

Water depths ranged between 1 2 and I Sm These grad i ents were present

for pH DO and percent saturat i on agai n for the January sampl i ng i n both

control and experi mental transects wh i ch i s not surpri s i ng i n l i ght of

the degree of regrowth over four months s i nce harvest and the phys i cal

s imi l ari ty of stat i ons at th i s t i me

E2 Chemical Parameters

The anal ys i s of chemi cal data was desi gned to answer the fol l owi ng

questi ons for the sampl i ngs to date

o Are there detectabl e water qual i ty d i fferences between the

experimental and control stat i ons

o If there are was thi s ei ther d i rect l y or i nd i rect ly a product of

harvest i ng act i v i ty or i s i t the byproduct of stat i on l ocat i on

and the resul t of natural d i l ut i on grad i ents ( i e l oad i ng from

the Ki s s immee Ri ver or other sources )

o I f there are no s ign i fi cant d i fferences between harvested and

unharvested areas were d i fferences to be expected on the bas i s of

water mass compos i t i on

4 - 13

Where chemi cal spec i es are not d i rect ly correl ated wi th a d i st i nct

water mass or where i nputs to the water col umn are d i ffuse enough to

prevent the ma i ntenance of a spat i a 1 grad i ent or the detect i on of a

s i ngl e sourc e data analysi s i s s i mpl i fi ed to a compari son of treatment s

experimenta1 s agai nst control s Seasonal trend s i f present can be

factored i nto the stat i st i cal ana lys i s A s i mpl e compari son of harvested

aga i nst unharvested area chemi stry can al so be performed shoul d i on

content and rat i os i ndi cate that these water masses were i denti cal duri ng

sampl e col l ect i on and that d i l ut i on grad i ents can be i gnored

However when nutri ents or other spec i es are i ntroduced i nto a

system a ssoc i ated wi th a di sti nct water mass and when d i l ut i on with

ex i st i ng waters produces detectabl e gradi ents the quest i on s become more

compl ex In add i t i o n b i ol og i cal uptake wi l l produce non - l i near

rel a t i on sh i ps and the separati on of harvesti ng impacts from expected

gradi ents becomes more d i ffi cul t

The compl ex i ty of these questi ons i n the presence of d i l ut i on

grad i ents can be i l l ustrated graph i cal l y by reference to Fi gure 4 1 2

where hypotheti cal data appear In the fi rst part parameter X i s a

l i near func t i on of sod i um or i n other word s X i s a l so a con servati ve

parameter so i ts absol ute l evel i s affected onl y by d i l uti on wh i ch

mai nta i n s a constant X Sod i um rat i o Th i s regress i on would be devel oped

u s i ng one day s data from the ent i re gri d of n i ne control stat i ons across

the study s i te The hypothet ical data from a harvested stat i on (Stat i on

7 ) and the control (Stat i on 10 ) are al so pl otted It i s apparent that

wh i l e the l evel s of parameter X at the harvested and control stat i on

shown are probabl y not stat i st i cal l y d i fferent from one another the

harvested stat i on c l earl y fal l s outside of the 95 confi dence i nterval of

the X Sod i um regress ion for thi s data set and d i fferences from the l evel s

expected may refl ect harvest i ng i mpacts

In the second port i on of Figure 4 1 2 an al ternate s i tuat i on i s

i l l ustrated where the 1 eve1 s of parameter X at h arvested and control

stat i ons are shown to be c l earl y d i fferent However it i s apparent that

the water mass at the harvested stat i on i s sl i ghtl y more d i l ute and that

the correspond i ngl y l ower l evel s of parameter X are to be expected I n

4 - 14

both s i tuat i ons any b i ol og i cal processes affect i ng parameter X wi l l

produce even more compl ex rel at i onsh i ps

Sod i um and chl ori de were fi rst exami ned for i ns i g ht i nto water

mass movement and d i l ut i on processes occurri ng across the study s i te

The sum of these two i ons ( i n mi l l i equ i va1ent s ) was empl oyed a s an

approxi mat i on of total i on content They were both assumed to be

conservat i ve i e not part i ci pat i ng to any substant i al degree i n

b i ol og i cal processes where they might be sequestered or added to t he

water col umn F i gure 4 13 i l l ustrates thi s d i l ut i on process as i t occurs

across the study s i te The rat i o of sod i um to chl oride was al so

cal cul ated as an i dent i fy i ng feature of a part i cul ar stat i on

The gri d of ni ne control stat i ons was sampl ed on three occas i ons

August 1 8 September 30 1987 and January 13 1988 These data were

exami ned as t hey represented the 1 argest spat i a 1 area Anal yses of

vari ance i nd i cated that both total i on content and sod i um ch1 0r ide rati os

vari ed s ign i fi cant ly wi th respect to sampl i ng date I n l i ght of the

seasonal pattern of preci p i tat i on and the i nfl uence of ri ver d i scharge on

the area th i s was not surpri s i ng I n add i t i on however stat i on was

h i gh l y s i gn i f icant as a factor In the case of sod i um pl us chl ori de

th i s represents a change i n total i on content or d i l ut i on occurri ng

across a spat i al grad i ent ( Fi gure 4 14 ) I n the case of sod i um ch 1 0r i de

rat i os the fact that rat i os are di fferent at d i fferent stat i ons impl i es

that two or more separate water bod ies are represented across the s i te

( F i gure 4 1 5) I nteract i ve terms were al so s i gn i fi cant for each

parameter i nd i cat i ng that d i fferences were not cons i stent across t i me or

space Th i s i s apparent i n compari ng Fi gure 4 13 wi th Fi gure 4 14

As the mi xi ng of more than two water masses together woul d make

ana l ys i s of the rema i n i ng parameters extreme ly mathemat i cal l y compl ex

regress i ons of sodi um aga i n st chl ori de were performed for al l control

stat i ons on the three sampl i ng dates On each date correl at i ons for

l i near rel at ionshi ps were s ign i fi cant at pgt99 9 Th i s resul t al l owed

the use of the assumpt i on that onl y two water masses were mi x i ng across

the s i te Parameters associ ated wi th one of the two water masses coul d

therefore be detected by regress i ons on sod i um or some other conservat i ve

parameter

4 - 1 5

Anal yses of water qual i ty impacts were i n i t i al l y restri cted to

four sampl i ngs September 1 7 22 and 30 1 987 and January 13 1 988

Stat i ons 7 - 9 for experimental and Stat i ons 10 - 1 2 for control s (Stat i on

7 5 and 10 5 were used for the J anuary data set as an area wh i ch

i nc l uded Stat i on 7 had been reharvested shortl y before the sampl i ng )

S i gn i fi cant amounts of vari ati on between experi mental (Stat i on s 7

8 9 ) and control s ( Stati ons 1 0 1 1 1 2 ) as groups were found us i ng

two-way ANOVAs wi th date and treatment as factors (Tabl e 4 8 ) Al l

n i trogen and phosphorus spec i es (wi th the except i on of orthophosphate )

conta i ned s i gn i fi cant amounts of vari at i on d i stri buted between the

harvested and unharvested control stat i ons In add i t i on for BOD

turb id i ty and total suspended sol i d s d i fferences were present as wel l

As expected potassi um fl uoride chl ori de and sod i um d i d not d i spl ay

s i gn i fi cant vari ati ons between data from harvested and unharvested

stat i ons I ron copper total organ i c carbon and al kal i n i ty were al so

not s i gn i fi cant ly d i fferent between treatments

As d i scussed above however d i fferences between harvested and

unharvested areas are strai ghtforward onl y i f I water masses i n each of

the two treatment areas were identi cal or 2 the anal yzed parameter has

no s i gn i fi c ant rel ati onsh i p to a part i cul ar water mas s or to sod i um

Al though n o s ign i fi cant d i fferences i n sod i um o r chl ori de

concentrat i ons were observed between harvested and unharvested stat i ons

as a group di 1 ut i on grad i ents of these parameters were present wh i ch

paral l el ed the axi s of the harvested transects ( Fi gure 4 1 4 ) As a

resul t the data envel ope for the stati ons of a s i ngl e treatment was

l arge i n compar i son to any subtl e d i fferences between transects (F i gure

4 16 ) The fact that any di fferences were detected between experi mental

and control transects (Tabl e 4 8) impl i ed that they were substanti al

enough to overr ide the wi th i n -treatment vari abi l i ty expected from the

sod i um grad i ent S i gn i fi cance of i nteract i ve tems i n these model s

i nd i cated that d i fferences were not cons i stent from sampl i ng to sampl i ng

To d i rect l y compare harvested and non-harvested water qual i ty the

water of the two treatments must represent i dent i cal d i l ut i ons of source

and rece i v i ng waters As d i l ut i on gradi ents were roughly paral l el to the

transect axes stat i ons were pa i red and the d i fferences of experimental s

4 - 1 6

l ess control s cal cul ated for each pa i r of sod i um and chl ori de data

( Stat i ons 7 - 1 0 8- 1 1 9 - 1 2 Tabl es 4 9 4 10 ) The mean d i fferences

computed for al l sampl i ngs or for each date were on no occas i on d i fferent

from zero ( t - tests ) I n add i t i on no cons i stent pattern of d i fferences

was observed The conc1 us i on was that wh l l e di fferences 1 n the water

mass were present between stat i ons w ith i n a s i ngl e treatment harvested

stat i ons and t he i r adjacent control pai rs represented i dent i cal waters on

each date w i th respect to d i l ut i on

As water masses were i dent i cal the d i fferences i n parameter

concentrat i ons were cal cul ated for each stat i on pa i r as for sod i um and

chl ori de above These d i fferences are summari zed i n Tabl e 4 1 1 for those

parameters for wh i ch treatment was a s i gn i f icant factor i n the two-way

ANOVAs descri bed above (Tabl e 4 8 ) The magn i tudes of the d i fferences on

i nd i v i dual dates when not stat i st i cal l y equ i val ent to zero are al so

presented

Us i ng the pai red compari sons of stat i ons al l n i trogen s peci es and

total phosphorus exh i bi ted s i gn i fi cant al though subtl e d i fferences

between harvested and unharvested areas for the sampl i ngs to date (The

only date where orthophosphorus showed treatment d i fferences was on

September 22 and on th i s occas i on the magni tude was onl y 0 002 11191

1 ess than the 1 im i t of detect i on ) These d i fferences are most notabl e

for n i trate and ammon i a n i trogen and are i n add i t i on to any d i l ut i on

grad i ents across the s i te They can be presumed to refl ect the i mpacts

e i ther d i rect or i nd i rect of harvest i ng

Concentrat i ons where d i fferent were typi cal l y l arger i n the

unharvested control transect Th i s may be attri buted to e i ther uptake by

regrowth at harvested stat i ons or to the rel ease of nutri ents by

senescent macrophytes or peri phyton at the unharvested l ocat i ons

Fl oat i ng mats of Hydrj 1 1 a i n vari ous cond i t i ons were present through the

September 30 sampl i ng

B i ochemi cal oxygen demand turbi d i ty and suspended sol i d s al so

showed d i fferences us i ng stat i on pa i rs al though i n the i n stance of

suspended sol i ds concentrat i ons were sl i ghtl y h i gher at the harvested

stat i ons Wi nd -generated sed i ment resuspensi on i n harvested areas and

suspended senescent pl ant materi al i n the unharvested areas (contri but i ng

4- 1 7

to turbi d i ty and oxygen demand but wi th rel at i vely l i ttl e dry we i ght ) are

postul ated to account for these d i fferences Th i s i s supported

c i rcumstant i al l y by the l argest d i fference i n suspended sol ids be i ng

observed on September 30 when w i nd cond i t i ons were the most extreme of

any of the days sampl ed

The l argest number of parameters d i fferent between harvested and

weeded areas was al so observed on September 30 wh i l e the fewest were

seen on January 1 3 1 988 Whether th i s d i stri but i on across t ime i s a

res ul t of 1 ) vary ing nutri ent uptake rates throughout the growi ng season

2 ) the essent i al l y compl eted regrowth observed by the January s ampl i ng

3 ) the h i gher l ake l evel s and l ack of a fl oati ng mat of Hydri l l a perhaps

reduc i ng res idence t i mes of water across the s i te duri ng January or

4) the h i gher January nutri ent l evel s maki ng d i fferences more d i ff icul t

to d i scern i s i mposs i bl e to resol ve

Another techn i que for data anal ys i s was empl oyed on the September

30 and January 13 data sets for those parameters wh i ch were associ ated

wi th d i l ut i on grad i ents across the s i te Bri efl y i f the grid of control

stat i on s d i spl ayed s i gn i fi cant regress i ons with sod i um theoret ical

parameter concentrat i ons were cal cul ated for al l control and experimental

stati ons based on the observed sod i um data and that funct i on wi th the

h i ghest regress i on coeffi ci ent Res i dual s (V i - V hat) were then

compared by t - tests between means of experimental and control groups to

determi ne i f popul ati ons were the s ame (no impacts F i gure 3 1 2B) or

d i fferent ( i mpacts Fi gure 4 1 2A)

L i sted i n Tabl e 4 1 2 by date are the regres s i on types and

coeffi c i ents of the vari ous parameter concentrat i ons wi th sod i um Onl y

surface data from control stat i ons were used The vari ed nature of i nputs

to the s i te i s exempl i fi ed by F igures 4 1 7 and 4 18 dep i cti ng the vast l y

d i fferent d i stri buti ons of orthophosphorus between September and January

Whi l e rel at i vel y few parameters were apparentl y associ ated wi th

d i l ut i on duri ng the August sampl i ng the h i gher l oads i n September and

January perhaps coupl ed with sl owed uptake and growth rates duri ng the

l atter part of the year may produce l onger water col umn res idence t i mes

for nutri ent spec i es and permi t the detect i on of d i l ut i on grad i ents i n

4 - 18

these parameters Chl ori de and potas s i um and any other parameter onl y

s l ightl y affected by bi ol og i cal act i v i ty shoul d certa i nl y produce

s i gn i fi cant rel ati onsh i ps (The l ack of s i gn i fi cance of fl uor i de wi th

res pect to sod i um i s attri buted to the extremel y l ow l evel s encountered

e g concentrat i ons at or bel ow the l i mi t of detect i on for th i s

parameter )

Overal l the res i dual s anal ys i s of sod i um dependency proved l es s

sens i t i ve than that o f the pai red stat i ons anal yses O f the twenty-two

parameter-date combi nati ons where a s i gn i fi cant regress i on wi th sod i um

was obtai ned res i dual s of experimental stat i ons were s i gn i fi cant ly

d i fferent from res i dual s from control stat i ons for onl y three parameters

- - orthophosphorus and al kal i n i ty duri ng September 30 1 987 and n i tri teshy

n i trogen dur i ng January 13 1 988 Figure 4 19 superimposes the

experi mental stat i on orthophosphorus concentrati ons upon the rel at i onsh i p

devel oped for control stati ons i n September I t can be seen here that

the experimental stat i ons (X) are not evenl y d i stri buted around the

regress i on l i ne

Orthophosphorus concentrat i ons on th i s occas i on were l ower i n

the experi mental transect but onl y by 0 002 mgl l ess than the l i mi t of

detect i on Al kal i n i t i es at these stat i on s were h i gher than sod i um

concentrat i on s mi ght pred i ct by about 9 mgl as CaC03 Duri ng January

n i tri te - n i trogen was al so l ower at the harvested stat i ons than woul d be

expected on the bas i s of d i l ut i on al one but aga i n by l ess than the l imi t

of detect i on

As troph i c states and nutri ent l i mi tati ons wi thi n Lake Okeechobee

area of concern rati os of d i ssol ved and i norgan i c n i trogen to phosphorus

spec i es were cal cul ated and summari zed i n Tabl e 4 1 3 On a we ight bas i s

systems wi th rat i os l ess than 1 0 are typ i cal l y cons i dered n i trogen

1 i mi ted wh i l e phosphorus 1 im i tat i ons occur at rat i os greater than 1 7

( Sakamoto 1 966) Wi th th i s cr i teri on the waters o f the study s i te are

cl earl y n i trogen l imi ted i n contrast to al gal assays performed i n the

v i c i n i ty duri ng 1 974 and 1 975 ( Dye et al 1975 ) These resul ts have the

most consequences for phytopl ankton popul ati ons rather than macrophytes

as the rooted pl ants are capabl e of extracti ng at l east some i f not the

majori ty of thei r requ i red nutri ents from the hydroso i l

4 - 19

The stati st i cal anal yses d i scussed earl i er for the i ndi vi dual

parameters determi ned i norgan i c ni trogen spec i es to be h i gher i n the

unharvested control stat i ons and orthophosphorus to be s l i ghtl y l ower

ANaYA s of N P rat i os al so found s i gni fi cant d i fferences The treatment

( harvested or unharvested ) or stat i on was more important than date i n

account i ng for vari ati on Al l September and January sampl i ngs combi ned

produced mean N P rat i os for the harvested stat i ons ( 7 - 9 ) of 3 0 and for

the unharvested d i fferences coul d be attri buted e i ther to uptake by

act i vel y growi ng p l ants or to rel ease of nutri ents by senescent p l ant

materi a 1 Oi fferences between harvested and nonharvested areas were

l east apparent duri ng the January sampl i ng when ri s i ng l ake l evel and

Hydri l l a regrowth combi ned to i ncrease stat i on to stat i on phys i cal

s i m i l ari t i es

E 2 Bacteri ol ogi cal Parameters

Resul ts of total col i form anal yses (membrane fi l ter techn i que) of

sampl es col l ected on August 18 September 1 7 22 30 1987 and January 13

1 988 appear in Tabl es 4 1 4 After the August fi e ld effort sampl es were

col l ected i n conjuncti on wi th the phytopl ankton work and al l sampl es were

anal yzed by EQL Overal l bacteri ol ogi cal qual i ty was qu i t e good wi th

on ly a s i ngl e sampl e exceed i ng the 1000 counts per 100 ml cri teri on for

Cl ass I waters Th i s s i ngl e val ue of 5000 (Stat i on 1 1 September 30

1 987 ) was cl as sed as a stat i st i cal outl i er for the study as a whol e The

other two val ues from sampl es col l ected s i mul taneously were 900 and

100100 ml Most stat i on means were bel ow 200 countslOa ml

Stat i st i cal anal yses of these data empl oyed natural l og

transformat i on s Two way ANaYA s (by date and treatment and by date and

s t at i o n ) prod uced s i gn i fi cant terms for date and i nteract i ve

rel at i onsh i ps however nei ther harvesti ng nor stat i on accounted for

s ign i fi cant amounts of vari at i on Further anal yses cons i sted of mul t i pl e

l i near regress i ons of l og transformed total col i form counts aga i nst BOD

turb i d i ty total suspended sol i d s sod i um and chl ori de content ( as water

mass i ndi cators ) col or and s i l i cates A s i gn i fi cant regress i on model

whi ch i ncl uded BOD col or and TSS was obtai ned (r2 = 0 255 n 72) A

4 -20

d i rect rel ati onsh i p wi th BOD was not surpri s i ng The vari at i on wi th

col or val ues may be support for runoff control l ed bacteri a l evel s in the

l ake i ncreas i ng duri ng peri ods of h i gh d i scharge or backpump i ng (wh ich

are themsel ves characteri zed by i ncreased col or l evel s from t he

accumul ated surface waters An i nverse rel at i onsh i p w i th TSS l evel s was

l ess amenabl e to i nterpretat i on and i s l i kely to have been an art i fact of

some other control l i ng i nfl uence

IV E WATER QUALITY IMPACTS - QUALITY ASSURANCE OBJECTIVES

Prec i s i on and accuracy targets and resul ts for in ll1Y water

qual i ty parameters are presented in Tabl e 4 1 5 Prec i s i on est i mates were

based on dupl i cate in 1iY determi nat i ons expressed as percent rel ati ve

standard devi at i on (S RSD) Measurements at one stat i on per day were

typ i cal l y repl i cated i n thi s fash i on Prec i s i on est i mates for fi el d

measurements necessari l y i nc l uded the representati veness of the sampl i ng

as any non - homogene i ty of the s i te bei ng sampl ed appeared i n these

resul t s

Accuracy was determi ned from both pre- and post - sampl i ng

cal i brat i on of i nstrumentati on and where appl i cabl e the s i mu l taneous

col l ect i on of sampl es for l aboratory analysi s wi th al ternate procedures

or equ i pment Thi s was expressed as percent recovery ( R) of

f i el dl aboratory val ues t i mes 1 0 Col l ect i on of sampl es for

veri f icat i on was typi cal l y conducted at a rate of 1 for every 1 0 stati ons

samp l ed For th i s project di ssol ved oxygen and conducti v i ty were so

veri fi ed

Comparabi l i ty o f data was veri fi ed duri ng the pre- and postshy

sampl i ng cal i brati ons of i nstrumentat i on aga i nst standard sol ut i ons or

phys i c al constants Compl eteness of in 1iY data was esti mated to be

greater than 88 throughout the sampl i ngs to date

The qual i ty assurance object i ves for l aboratory anal yses were

anal ogous to those d i scussed for the i n s i tu parameters and are l i sted i n

Tabl e 4 14 Prec i s i on esti mates were determi ned from the anal yt i cal

resul ts and SRSD between the concentrati ons of two al i quots of a s i ng l e

conta i ner Dupl i cate analyses were performed at a rate of at l east one

4 - 2 1

for every ten sampl es The RSD between sampl es only sl i ghtly above the

l i mi t of detect i on i s often qu i te h i gh al though the analys i s i s

extremel y prec i se ( L e 0 001 and 0 002 11191 47 1 RSD ) Some mean

tRSD val ues and SD val ues are skewed by these seemi ngl y i mprec i se

dupl i cates that are actual l y wi th i n QA l i mi ts Accuracy of analyses was

assessed by the analys i s of sampl es to wh i ch known amounts of standard

materi al s had been added

IVG I NTERIM SUMMARY AND CONCLUSIONS

The study area i mmedi ately south of the entrance of the Ki s s 1mee

R i ver i nto Lake Okeechobee represents a compl ex combi nat i on of factors

wi t h regard to water qual i ty Vari at i ons with t i me were observed for

almost al l parameters measured D i ssol ved oxygen v i ol at i ons of the 5 0

11191 i nstantaneous cri teri on were common and d i urnal cycl es of DO and

rel ated parameters were apparent The skew i n sampl i ng t i mes toward the

morn i ng hours undoubtedly i ncreased the number of observed v i ol at i ons

a l though sampl i ng l ater i n the afternoon woul d i ncrease the percent

saturat i on of d i ssol ved gases and val ues i n excess of the 1 10 cri terion

wou l d have resul ted

In li1Y parameters were i n i t i al l y eval uated for stat i st i cal

d i fferences between harvested and unharvested stat i ons as a grou p

Di fferences i n DO percent saturat i on and p H were observed and were most

marked at the bottom of the water col umn and duri ng the September

sampl i ngs Pred i ct abl y harvesti ng reduced the ampl i tude of the d i urnal

DO cycl e such that DO concentrat i ons were h i gher i n the harvested

transect i n the morn i ng hours and l ower duri ng the afternoon Both the

magn i tude and the d i rect i on of the observed d i fferences were therefore a

funct i on of the t i me of sampl i ng

A rap i d change i n water masses was al so observed at harvested

stat i ons and th i s was attri buted to the i ncreased fl ush i ng potent i al

produced by Hydri l l a removal Inten s i ve surveys detected vert i cal

grad i ents of s i mi l ar magn i tudes for i n s i tu parameters at both harvested

and control stati ons The s i ze of the harvested transect may have been

too smal l to al l ow wi nd-generated vert i cal mi xi ng to be effect i ve

4-22

Bacteri ol og i cal water qual i ty at the s i te was good overal l wel l

wi th i n the 1000 1100 ml cri teri on and correl at i ons w ith col or BOD and

TSS were present Col or rel at i onshi ps i ndi cate a functi onal rel at i onsh i p

of total col i form wi th d i scharge i nto the l ake whi l e the rel at i onsh i p

wi th TSS was i nverse

Chemi cal water qual i ty d i stri but i ons at the s i te were a l so qu i te

compl ex Spat i al and d i l uti on grad i ents produced by the i nfl uence of the

K i s s i mmee Ri ver were qu i t e apparent as determi ned by conservat i ve

parameters such as sod i um and chl ori de The d i l ut i on grad i ents were

roughl y paral l el wi th the l ong axi s of the harvested transects such that

a progress i on of i ncreas i ng strengths of Lake Ri ver d i l ut i ons were

observed al ong both the experimental harvested transect and the adjacent

unharvested control transect Thi s transl ated to a h i gh wi th i n -treatment

va ri a b n i ty of water masses compared to the between- treatment

vari abi l i ty wh i ch i n turn may obscure d i fferences between harvested and

unharvested areas i n stra ightforward stat i st i cal compari sons

Overal l stat i sti cal techni ques were sat i sfactory because the

number of sampl es adequate for determi ni ng di fferences i n concentrat i ons

was at or near the analyt i cal l imi ts of detect i on The three stat i st i cal

anal yses were 1 ) d i rect compari sons (means test i ng and ANOVA s ) of

harvested to unharvested data sets 2) ana lys i s by d i fference of stat i on

pa i rs ( harvested l ess the adjacent control stati on) and whether

d i fferences were stat i sti cal l y d i fferent from zero and 3) res i dual s

anal ysi s of those parameters wi th a s ign i fi cant rel at i onsh i p w i th sod i um

and whether the popul ati on of res i dual s from control stati ons was

equ i val ent to those from the harvested stati ons

Ana lys i s of harvested versus unharvested data groups by parameter

reveal ed s i gn i fi cant d i fferences between treatments for al l n i trogen

spec i es total phosphorus BOD turb id i ty and total suspended sol i ds

These d i fferences are i n sp i te of the broad envel ope i n water qual i ty

conta i ned wi th i n each treatment type However d i rect compari sons and

correct est i mati on of the magni tude of harvest i ng impacts are poss i bl e

onl y where the water masses of the two treatments can be assumed to

represent equ i val ent po i nts on the d i l ut i on grad i ent

The d i fference i n sod i um and chl ori de concentrat i ons between each

harvested stat i on and i ts adjacent unharvested stat i on was cal cul ated

For al l dates these d i fferences were equ i val ent to zero mean i ng that

the water mass was i dent i cal at Stati ons 7 and 10 at Stat i ons 8 and 1 1

and at Stat i ons 9 and 1 2 The d i fferences i n concentrat i ons between the

stat i on pai rs cou l d then be calcul ated Al l n i trogen spec i es and total

phosphorus concentrat i ons were typ i cal l y h i gher i n the unharvested

transect On the one occas i on where orthophosphorus d i ffered between

treatments i t was s l i ghtl y h i gher i n the harvested transect Turbid i ty

and BOD were al so h i gher at the control stat i ons wh i l e total suspended

sol i ds were sl ightly l ess Uptake by macrophytes i n act i ve regrowth

rel ease o f nutri ents by senescent and matted pl ant mater i al and wi nd shy

generated resuspens i on may account for thi s pattern

Ana lys i s of those parameters associ ated wi th d i l u t i on and of those

wi th s i gn i fi cant correl at i ons wi th sod i um proved l ess sens i t i ve for

detect i ng d i fferences Al though many parameters d i spl ayed s i gn i f icant

rel at i onsh i ps the i r d i stri but i on around the regress i on l i ne was

cons i derabl e and res i dual popul at i ons were s i gn i fi cantly d i fferent

between treatments for only three parameters

The s i te as a whol e appeared to be n i t rogen 1 i mi ted based on

we i g ht r at i os of i norgan i c n i trogen forms to orthophosphorus

O i fferences between harvested and unharvested areas were apparent here

al so w i th average rat i o s of 3 0 and 9 4 respect i vely

IVG RECOMMENDATIONS - FINAL REPORT

For the rema i n i ng two quarterly sampl i ngs i n th i s task a

real l ocat i on of effort i s proposed wh i ch woul d del ete copper and fl uori de

from the anal yt i cal su i tes These two parameters were e i ther at or near

the 1 im i ts of analyt i cal detect i on for al most al l s ampl es and

stat i sti cal analyses were not effect i ve i n determi n i ng any d i fferences

attri butabl e to harvest i ng at these l ow concentrat i ons N i tri teshy

n i trogen however shoul d be reta i ned Al though l evel s were l ow they

are i mportant i n th i s n i trogen 1 i mi ted system and d i fferences between

treatments were apparent The Ki ss i mmee R i ver stat i on shou l d cont i nue to

4-24

be sampl ed and another stat i on shou l d be added to the west of Stat i on 1

toward Buckhead Ridge as an i ntermi ttent nutri ent i nput may be present

there Mon i tori ng of these two add i t i onal stat i ons shou l d cont i nue for

al l parameters In pl ace of copper and fl uor ide anal yses d i ssol ved

cal c i um i s suggested as a repl acement to prov ide a bas i s of compari son

wi th other work done prev i ously i n the l ake and to exam i ne i ts behav i or

across the s i te The poss i b i l i ty of mov i ng the exper imental and control

stat i on pai rs ( Stat i ons 7 - 1 2 ) to the most recently harvested area for the

subsequent sampl i ng i s currentl y be i ng d i scussed wi th the task l eaders of

the i nter-rel ated tasks

Future data exami nat i ons wh i ch wi 1 1 be conducted for the fi nal

report of th i s project i ncl ude the deta i l ed assessment of l i ght

penetrat i on profi l es and the effect of the weed mat upon these The data

from the 24 hour fi el d demonstrat i on sampl i ng wi l l be eval uated w ith

regard to chemi cal parameters and the i mmedi ate effects produced by

harvest i ng S i l i cates col or and i norgan i c carbon data wi l l be

processed as wi l l the rema i n i ng parameters for d i fferences between

experi mental and control stat i on s and a further anal ys i s of d i ssol ved

oxygen wi th cons i derat i ons for t i me of day vegetat i on and even sed i ment

type wi l l be conducted

4-25

LITERATURE CITED

Dye C W D A Jones L T Ros s R L Wi l l more 1 975 L imi t i ng nutri ents i n the Ki ss i llll1ee Ri ver - Lake Okeechobee Bas i n based on al gal assay techni ques Fl a Dept Envi ronmental Regul at i on Sakamoto H 1 966 Pri mary product i on by phytopl ankton conununi ty i n some Japanese l akes and i ts dependence on l ake depth Arch Hydrobi ol 62 1 - 28

4-26

Table 4 1 Mean IDran coordinates of water quality staticns

STATIOO NO

1 2 3 7 7 5 8 9 10 10 5 11 12 13 15 16

Ipound)RAN 1 JPRAN 2

14313 2 45453 2 14312 6 43449 1 14312 4 43445 9 14313 6 43449 1 14313 4 43448 2 14313 2 43447 7 14312 9 43446 1 14313 7 43448 5 14313 5 43447 7 14313 4 43447 3 14312 9 43445 7 14315 1 43444 6 14313 9 43443 2 143109 43437 8

Table 4 2 water Quality parameters methods ard holdirq times

Parameter

TeJlFerature Corrluctivity pi ORP Dissolved Oxygen Light Penetratim Secxhl laboratory 0rthqil0spl0rus (D) Total AlosJtIorus (D) AImalia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrogen (D) Total Kjeldahl Nitrogen ium (D) Ccgler (D) Iran (D) Total OJgan1c carbon Alkalinity Biochemical Oxygen DeuanI lu1)idity SUspenled Solids Ibtal Ollifonn auoride Scdium Fluoride Color silicates (D) Inorganic Cartlon

MetbodlInstrument

Martek Mark VII Martek Mark VII Martek Mark VII Martek Mark VII YSI 57 LiOlr Secxhl Disk (LiDngtlogical)

EPA 365 1 365 3 EPA 365 3 365 4 SM 417F EPA 350 3 EPA 353 3 353 3 EPA 353 2 353 3 EPA 351 2 SM 30lA SM 303A B SM 303A B EPA 415 1 8M 403 4C EPA 3102 EPA 405 1 EPA 180 1 SM 2090 8M 908A 909A SM 4070 EPA 325 3 SM 303A EPA 3402 SM 204A B EPA 370 1 SM 425C EPA 415 1

Holdirg TimePreservative Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable

Filter iDmSdiately 48 hrs4Oc 28 daYSH2S04 to pllt2 40c Filter bImadiately 28 daYSH2S04 to pllt2 40c Filter bImadiately 48 hrsH4 to pllt2 40c Filter iDmSdiately 28 daYSH4 to pHlt2 40c 28 daYSH2S04 to pllt2 40c Filter iDmSdlately 6 1IDSIftll) to pllt2 40c Filter iDmSdiately 6 1IDSIftll) to pllt2 40c Filter inmediately 6 1IDSIftll) to pHlt2 40c 28 daYSH2S04 to pIlt2 40c 14 days4oC 48 hrs4Oc 48 hrs4Oc 7 days4Oc 6 hrs4Oc 28 days4Oc Filter inmdiately 6 lOOIlthslftll) to pIlt2 40c 28 days4Oc 48 hrs4Oc 28 days4Oc 28 days4Oc

EPA = EPA 6004-7920 Methods for OJemical Analysis of water ard wastes SM = stanIard Methods for the Examination of water ard wastewater 15th Fdition 1980 (D) = Dissolved

Tabl e 4 3

Date

Aug 18 1987

Sept 17 1987

Sept 22 1987

Sept 30 1987

Oct 28-29 1987

Jan 13 1988

Sampl i ng efforts and dates Water Qual i ty Tas k

Sampl i ng Type

Basel i ne

Short Term Impacts

Short Term Impacts

Quarterly

F i el d Demonstrat i on

Quart erly

No of Stat i ons

9

6

6

12

6

12

No of V i al s

1

1

1

1

6

1

Table 4 4 site averages of in situ parameters by sanplirg date all stations all depths

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 28 18 18 36 144 68

2 SD 2 S D 2 S D S( S D S( S D 2 SD

onluctivity 0 5350 0661 0 5397 0351 0 5074 0550 0 4985 0517 0 3921 0731 0 3017 0895

ORP 493 109 441 42 298 77 293 47 295 31 247 55

Pi 8 02 0 55 8 27 0 34 7 56 027 7 47 043 7 72 0 51 7 59 0 30

lenperature 28 95 144 27 34 0 50 27 23 054 26 67 041 23 11 099 16 67 078

Dissolved Oxygen (00) 5 02 3 20 3 51 2 20 2 87 1 32 5 11 2 28 664 2 25 8 16 1 58

PeJta1t SaturatiCBl 66 1 42 9 44 4 27 9 36 3 16 7 64 0 28 6 77 8 269 84 0 16 7

00 cbs lt1 0 nql 128 318 218 336 0144 168

00 cbs lt4 0 nql 1428 U18 1318 936 14144 168

00 cbs lt5 0 ugII 1428 1218 1618 1536 41144 268

Table 4 5 Site averages of water quality parameters by sanplirg date all stations all depths

1987 l2sectsect AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 39 18 18 48 7 3 54 K SD K SD I SD K S D K SD K SD

0rthqil0sJil0 0 019 0 007 0 017 0 005 OOll 0 003 O OlS 0 014 0 033 0 011 0 082 0 045 Total rus 0 07 0 11 0 10 0 01 0 08 0 01 0 09 0 03 0 12 0 06 0 15 0 05

Anrncnia-nitrogen 0 039 0 018 0 04 5 0 042 0 017 0 012 0 012 0 017 0 040 0 029 0 04 6 0 036 Nitrite-nitrogen 0 004 0 001 0 005 0 004 0 004 0 001 0 003 0 003 0 004 0 001 0 008 0 004 Nitrate-nitrite-nitrogen 0 009 0 003 0 034 0 036 0 039 0 021 0 048 0 046 0 038 Q 019 0 190 0 039 Total Kjeldahl nitrogen 1 52 0 26 1 75 0 15 1 55 0 28 1 47 0 18 1 29 0 20 1 20 0 17 Potassium 4 4 0 9 4 7 0 3 4 5 0 3 4 2 1 0 2 9 0 5 3 9 1 0

Cqpar 0 003 0 002 0 003 0 002 0 003 0 001 0 002 0 001 0 001 0 001 0 002 0 002 Iron 0 002 0 002 0 014 0 007 0 014 0 007 0 015 0 019 0 048 0 018 0 090 0 031 ampxlium 4 8 9 7 6 47 3 4 6 46 9 4 7 49 0 9 4 31 0 8 9 28 2 8 1 Olloride 8 5 8 13 1 79 6 6 4 76 5 8 6 76 2 10 0 55 9 14 9 48 2 16 7 Fluoride 0 3 0 03 0 3 0 05 0 3 0 03 0 3 0 04 0 1 0 03 0 2 0 03 lbtal organic carlxln 2 1 7 1 6 17 9 0 9 18 1 0 8 18 4 1 0 19 7 2 5 18 4 3 0 Alkalinity 105 14 117 5 113 8 1U 10 7 3 15 68 lS Biochemical oxygen deHard 1 9 1 0 2 7 1 3 2 2 0 6 2 3 1 2 1 5 0 7 1 1 0 6 lubidi ty 2 4 1 9 4 2 0 9 4 1 1 5 4 0 2 9 3 1 2 5 3 7 2 1 Total susperded solids 3 3 3 3 6 0 2 3 5 7 2 4 6 3 4 7 4 5 3 9 3 1 4 1 Oller 61 5 66 9 81 9 113 10 silicates 12 8 2 2 13 1 2 2 12 0 3 0 5 4 0 5 Inorganic carlon 17 4 4 3 19 9 2 8 20 4 4 4 11 9 5 2

11=18

Table 4 6 site averages of water quality parameters for the KissiJulse River by sanpling date

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 JAN 13

0 032 0 096 0 12 7 0 116 0 063 Total (ilcsphorus 0 09 0 18 0 20 0 20 0 12 Almalia-nitrcgen 0 021 0 036 lt0 005 0 017 0 069 Nitrite-nitrcgen lt0 005 lt0 005 lt0 005 lt0 005 0 027 Nitrate-nitrite-nitrogen 0 012 0 009 0 072 0 188 0 151 Total Kje1dahl nitrogen 0 51 1 39 1 40 1 12 1 08 Ibtassium 3 7 3 6 3 5 2 9 3 2

((gler 0 003 0 003 0 004 0 001 lt0 001 Iron 0 008 0 085 0 095 0 172 0 225 Sodium 3 3 4 2 6 5 24 2 2 1 0 15 0 Olloride 60 6 47 8 4 1 9 38 7 23 7 Fluoride 0 3 0 3 0 3 0 2 0 2 Total organic cartxn 19 6 19 5 19 9 18 8 17 4 Alkalinity 89 7 3 66 57 34 Biochemical oxygen daDaM 2 4 3 0 1 5 1 3 0 5 lJnbidity 3 0 3 9 2 7 2 3 2 3 Total suspenied solids J 9 4 8 4 0 2 5 2 0 Color 110 130 130 125 Silicates 6 58 6 42 5 67 3 17 Iooxganic carbon 4 4 9 6 7 2 1 1

Tabl e 4 7 S i g n i f icant F middot test rat i os for two-way ANOVA s by treatment and samp 1 1 ng round for in illY data co 1 1 ected duri ng fi el d demonstrat i on samp l i ng October 28-29 1987

FmiddotTET RAT IOS

TREATMENI ROUND INTERACTION (Exp vs control ) (1-5 only ) (Treatment x Round )

CONDUCTI V lTV Surface 25 99 1 14 56 Bottom 28 3 5 4 26 1 6 73

ORP Surface 2 1 10 Bottom 5 35

pH Surface 32 67 33 10 Bottom 1 1 1 5 4 5 1 4 48

Temperature Surface 104 64 Bottom 21 95 1 1 73 8 17

D i s sol ved Surface Oxygen Bottom 14 1 5 7 98 5 20

Saturat i on Surface Bottom 7 66 3 87

df df error bull 20 F 0 05 [df 20 ] bull

1

4 35

4

2 87

4

2 87

Table 4 8 Significant F-test ratios fnD two way analysis of variane by date ani treatment statiCllS 7-12 only Septedler 17 22 30 1987 ani JanJaIY 13 1988 data

rus dissolved Total pnsphorus Anroonia-nitrogen di ssolved Nitrite-nitrogen dissolved Nitrate-nitrite-nitrogen dissolved Total Kjeldahl nitrogen RltassilDU di ssel ved Cqpr di ssolved Iron dissolved Total organic car1xXl Alkalinity Biochemical oxygen demard TUlbidi ty Total suspenied solids Chloride SOdilDU Fluoride

Degrees of freedaD

Degrees freedan of error = 64

F 0 05 [df 60]

595 12 31 05

4 09 96 71 51 06 31 28

225 02 6 34

424 47 23 36 18 32 28 69

171 46 145 71

49 55

3

2 76

lREMMENl ( vs cxmR)L)

10 24 4 81

17 59 12 57

6 75

6 31 24 03 22 36

1

4 00

3 89

4 64 4 94 5 08

3

2 76

Table 4 9

09-17-87

09-22-87

09-30-87

01-13-88

x = -0 1778 S = 2 7444

Scxtium statioo means Harvested ani unharvested statioo pairs

ScxUum station Means Difference

ExIJerirental COntrol (E-C)

44 5000 42 4000 2 1000 44 3667 4 8 9000 -4 5333 4 9 9667 53 6000 -3 6333

4 3 3000 4 3 9333 -0 6333 4 6 7333 4 2 4000 4 3333 53 1667 51 9333 1 2334

4 1 7667 4 2 5333 -0 7666 4 2 4333 46 0333 -3 6000 4 5 9333 44 2000 1 7333

2 3 4000 2 1 6667 1 7333 25 8667 24 3667 1 5000 26 4333 28 0333 -1 6000

Units are rrgJl

Sn-l

-2 0222 3 5982

2 1611 2 4800

-0 8778 2 6684

0 5444 1 8608

Table 4 10 Chloride statioo means Harvested ani Ulharvested statioo pairs units are ugll

Chloride station Means Difference

Experimental orttrol (E-C)

09-17-87 74 8000 75 4000 -0 6000 78 5000 74 5667 3 9333 0 1444 3 4769 85 5667 88 4667 -2 9000

09-22-87 67 8000 77 0667 -3 2667 74 2000 71 0333 3 1667 1 5778 4 2774 89 9333 85 1000 4 8333

09-30-87 70 1333 71 0667 -0 9334 71 5667 72 3000 -0 7333 -0 4333 0 7000 7 3 3000 72 9333 0 3667

01-13-87 38 2667 3 6 8000 1 4667 44 2000 40 7000 3 5000 1 6556 1 7576 4 3 7000 43 7000 0 0000

Table 4 11 Magnitude of significant differerrss between means of experimental ani onbol transects CCI1igtined ani tri individual dates Units are Dgl

All dates 091787 092287 091087 011388

dissolved 0 002 Total (i1osIi1oros -0 010 -0 024 Almalia-ni trogen

dissolved -0082 -0 060 -0 016 Nitrite-nitrogen di sselved -o OOl -0 004 -0 002 -0 005 -0 001 Nitrate-nitrite-nitrogen -0 029 -oOl2 -0 077 Total Kjeldahl nitrogen -0 10 -020 Potassium di ssel ved -ol Copper dissolved Ian d j ssel ved Total otganic carbal Alkalinity Biodlemical oxygen demand -05 -1 7 llrbidi ty -1 5 -1 l -l 6 Total suspenJed solids 4 7 4 7 4 8 7 0 2 5 OJloride 17 Sodium Fluoride OOl

nql as caC03 NIU

Table 4 12 Reqressioo type ani oorrelatioo ooefficients (r) of sodium vs parameters listed by date r 95 = 0 381 r 99 == 0 48 7

dissolved Ibtal rus Anmlnia-nitnlgen di ssolved Nitrite-nitnlgen dissolved Nitrate-nitrite-nitroqen di ssolved Ibtal Kjeldahl nitroqen RgttassilDU djssolved Qgler di ssolved Iron di ssolvEd Ibtal organic carbon Alkalinity Bioci1emical oxygen demard llrbidity Ibtal suspeOOed solids Q1loride Sodium dissolved Fluoride

L - Linear IN - lDgarithmic E - Exponential P - IOwer

AOO 18 1987

[

E 0 4941

L 0 4816

p -0 8711

E -0 6102

p 0 9460

E 0 3801

SEP 30 1987 JNf 13 1988

[ r

IN -0 8223 L 0 9093 E -0 8675 L 0 8980

L 0 6168 IN -0 4739 E -0 6466

E -0 4185 L 0 8998 L 0 4144 L 0 9056

L -0 3802 IN -0 4440 E -0 3971 L 0 7797 IN 0 6093 IN 0 9617 E -0 5350 E -0 8068 E -0 7956 L 0 9608 IN 0 9619

n == 27

Tabl e 4 13

STA

7

8

9

10

1 1

1 2

Mean N i trogen Phosphorus rat i os by date for experimental and control stat i ons Inorgan i c and d i ssol ved spec i es only Un i ts are mgNmgP n-3 for each mean

SEP 1 7 SEP 22 SEP 30 JAN 1 3 II S D II S D II S D II S D

1 90 1 06 2 12 0 1 1 1 64 0 82 3 97 0 25

3 00 3 46 4 1 2 1 3 1 1 96 0 76 3 27 0 03

2 94 4 06 1 90 1 03 4 69 0 75 3 77 0 04

7 25 3 30 4 88 0 49 2 94 0 51 4 0 1 0 1 3

6 28 2 30 8 92 2 27 9 85 3 08 3 38 0 14

7 94 4 35 1 2 25 0 22 28 3 1 8 94 4 00 0 18

Table 4 14 Quality assuraJICIe targets and nasults for precision and aouracy lake Okeechobee

(D) Total Ftloeqilorus Al1mlnia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrite-

Nitrogen (D) lbtal Kjeldahl Nitrogen Rltassium (D) Cqpar (D) Iron (D) Total Organic carlxln Alkalinity Biochemical OXygen Demand l1rbidi ty Total SUspenled Solids Olloride Sodium (D) Fluoride Silicates (D) Inoxqanic carlxln Color Dissolved OXygen Carrlucti vi ty Tenperature PI

Precisicra

x RSD S D

3 5 3 5 5 6 7 8 1 2 5 7 4 5

2 4 4 5 7 8 3 3 3 3 12 13 2 2 4 5 13 11 1 2 4 5 3 2 5 6 2 3 4 4 2 2 3 2 3 4 13 11 1 2 3 5 5 8 5 4 2 3

Aauracy x Recovery SD

93 6 - 97 6 94 8 - 102 8 99 5 - 957 98 8

99 8 - 98 8 111 17 111 18 100 4 101 5 101 8 106 11

97 11 1004

99 6 99 7 104 5

98 12 96 8 97 11

102 7 101 12 102 5

99 4 99 3

RESUIIIS Precisicra Accuracy

n x RSD SD n x - Recovery

31 2 7 3 4 19 92 5 35 3 1 2 9 20 94 0 20 4 6 6 9 22 97 1 21 0 9 4 4 18 98 8

28 3 1 3 7 26 96 1 31 2 2 2 5 22 107 4 30 3 3 3 0 32 1002 34 4 7 7 0 23 100 3 18 3 9 3 0 23 98 1 86 3 1 2 6 26 98 3 24 98 2 1 95 33 1 1 71 6 3 10 9 28 2 4 2 5 29 8 6 6 1 30 0 26 0 5 19 96 3 3 3 1 9 2 3 31 93 7 30 2 6 2 2 17 1009 14 52 07 8 98 7 62 4 8 3 1 6 105 2 10 0 3 0 6 6 102 9

6 3 1 3 5 16 102 6 9 1 3 1 3 16 99 2

10 0 54 0 62 6 100 1 10 1 18 1 35 12 1007

SD

3 1 6 0

10 0 3 3

6 7 8 7

16 5 3 1

20 6 16 8

1 4

6 0 14 0 11 2

3 9 7 5

11 2 9 2 1 71 1 94 3 99

I I

1

H A R V E S T I N G T R A N S E C T S (l m E X P E R I M E N T AL T RA N S E C T S

middot middot middot middot middot middot middot middot middot middot A PP R OX I M A T E W E E D L I N E

I - I t middot I I I I I )-I t-I sect )- 0

f- 0 Z LIJ J LIJ 01 a o 0 C) l LlJ O degl LIJ laquo LIJ J1 w 0

middot

middot middot

1111 111 bull

m

middot

middot

middot

LAKE OKEECHOBEE

-

N O R T H L A K E S HO A L

F i g u re 4 1 P ro p o sed harves t i ng a rea La ke O keechbee Demo n s t ra t i on Proj ec t

Fi g u re 4 2 Proposed harvest i ng a rea Lake Okeechobee Demonstra t i on Area

M A R K E D S U P PORT ---- t

LIN E

OUTER POLYETHY L E N E

S C R E EN (COA R S E)

TYGON I-----TUBING

)----- CLA M P

INNER POLYETHYL E N E

S C R E E N (093 0 m m MESH)

RoH----- PVC BODY AND END CAPS

-----OPT IONAL W E IGHT

F i gure 4 3 Weed excl uding device for water samp l e col l ection

[=J H A R V E S T I N G T R A N S E C T S 1 1 E X P E R I M E N T A L T R A N S E C T S A PP R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

middotmiddot 1 I middot D r nnn I 2 - I UUU I

1 I-

I I I I I I sect

gt- 1 0 I- 0 ZI UJ l UJ degl aJ o 0 en I UJ 0 Cl UJ laquo UJ -J I (I 0

-

N O R T H L A K E S H O A L

Fig ure 4 4 Bas e l ine sam p l ing S tation locations Aug u s t 18 1987

H A RV E S T IN G T R A N S E C T S

Im1 E X P E R I M E N T A L T R A N S E C T S

A P PR O X I M A T E W E E D L I N E

J 1

t middot I I I I f I 1 )shyI I-I

)- 1 0 I- U zl LaJ J LaJ degl aJ U 0 ClJI J LaJ U c lIJ ct lIJ

-I I 0 () O

LAKE OKEECHOBEE

u middot

N O R T H L A K E

S H O A L

( t _ _ -J--=--=r= _ _ _ C_OJlt bull bull t== a _ 1 _ ___ - _

_ If-_r-=-

-

F i gu re 4 5 Immed i ate i mpacts s amp l i ng S ta ti o n l ocati on s September 1 7 22 1 987

U C I bull

UC2 bull

U C 3 bull

Fi gu re 4 6 Fi e l d demons tra ti o n samp l i ng Sta t i on l oc a t i ons Oc tober 2 8 29 1987

Di sso lved Oxyg e n 1 4--------------------------------------------------------

1 2

1 0

8 -

6 middot

2--------_----------_-------------------------- 1 2 3 4 5 6

Ro u n d

-e- C 1 - S u rface o C 1 - Bottom

bull UC 1 -Su rface UC 1 -Bottom

F i g u re 4 7 Fiel d demons trati on samp l i ng Di ssol ved oxygen a t ha rvested (C) a nd unha rvested ( UC ) sta ti ons over a 24 hr peri od Uni ts are rug l

C on d u ctivity 6 bull CJ - S u rfa ce

B CJ-Bottom

bull UCJ-Surface

55 lIP U C3 -8ottom

5

45 -

4 --

35

3-----------1r----------r-------------------------

1 2 4 5 6

R o u n d F i gure 4 8 F i e l d demons tra ti on samp l i ng Conduc t i v i ty a t harve s ted ( C ) a nd u nha rves ted ( UC ) s ta t i on s over

a 24 hour peri od Un i ts a re mmho scm

2 6 Tem p e ratu re

C3- Surface

B C 5 -Bottom

-- UC3-Surlace

25 UC3- Bottom

2 4

w-------- 23

2 2

2 1

20+-----------------------------------------------

1 2 5 4 5 6

Rou n d F i gure 4 9 F i e l d demonstra t i o n sampl i ng Tempe ra tu re a t ha rves ted ( C ) a nd unha rvested ( UC) s t a t i o n s

over a 24 hou r per i od Uni t s a re degrees C

O R P 350 bull C2-Surfoce

D C2- BoUom

bullbull bull UC2-Surfo ce

bull U C2 - BoUom

300 -

250

2 00

1 50+-------T------------------------------------- 1 2 3 4 5 6

R o u n d F i g u re 4 1 0 F i e l d demo n s t ra t i on samp l i ng Oxi da t i o n re duc ti o n potenti a l a t ha rve s t ed ( C ) a n d u n h a rve s ted ( UC )

sta t i o ns over a 24 hou r peri o d Uni ts a re mv

pH 9----------------------------------------------------------

8 5

e

7 5 -

7

6 5 -

------II------bull -

-----

6-------------------------------------------------- 1 2 3 4 5 6

R o u n d

bull C 2 - Su rioce

D C 2 Bottom

- U C 2 - S u rfa ce

UC2- Bottom

Fi gure 4 1 1 F i e l d demo ns t ra t i on samp l i ng pH a t harves ted ( C ) a nd unha rve s ted ( UC ) sta t i o n s over a 24 hou r per i o d Un i ts are s ta nda rd u n i t s

A

8

x c cu

cu

E tU shy

tU a

x c cu

cu

E tU shy

tU a

- 9 5 96 e J

- 95 96 CJ

bull Unharvested (control) station

x Harvested (experimenta I) station

bull Control station adjacent to harvested station

F i g u re 4 12 Hyp o t he t i ca l da ta i l l u s tra t t ng s od i um dependence of pa rameter X a n d p o s s i b l e e r ro r s i f u s i ng mea n s tes ti ng a l one fo r i mp a c t

d e termi na t i o n

F i g u re 4 1 3 D i s t r i bu ti on o f s od i um concen tra ti o n s Ja n 1 3 1988 Un i t s a re mg l

40

20

2 5

Fi gure 4 1 4 Sum of sodi um and chl ori de co ncentrati ons Sep 30 198 7 Un i ts are mi l l i shyequi va l ents l i ter

40

F i gu re 4 1 5 Di s tri bu t i on of sod i um c h l or i d e ra t i o s Sep t 30 1987

095

095

3

bull 1 2

0 x 9 x 8 IC) E 2 -J laquoI bull I I Z

x 7 bull 1 0

2 Experimental Control

F i g u re 4 1 6 Sta t i on mea ns of middot so d i um c o ncentra t i o n s for e x pe r i me n t a l ( ha rv e s ted ) a nd control ( u n ha rve sted) s ta t i o n s J a nuary 1 3 1988

Q en E

024

020

0 1 6

J a O 1 2 I

o a

008

004

000

bull control I harvested

bull bull

bull bull

------------------r---------------1 5 25 3 5 4 5 5 5 6 5 75

Na (mg()

F i g u re 4 1 1 Regre s s i on of sod i um vs o rthophospha te for con t ro l stati ons September 3 0 1 987

o 0) E

02 4

020

0 1 6

a 0 1 2 I v

o a

008

004

bull control l( harvested

ooo------------------------------------ 1 5 25 3 5 45 5 5 65 75

Na (mg l)

Figure 4 1 8 Reg res s i on of sod i um vs o rthophosphate for contro l s ta t i ons Janua ry 1 3 1988

Q -

0)

E

024

020

0 f 6

-

CL 0 1 2 I q

o a

008

004

bull control )I harvested

bull

bull bull

bull bull

000+---------1r------1 5 25 35 4 5 5 5 6 5 75

Na (mgI)

F i gure 4 1 9 Re gre s s i o n o f sodi um v s ort hophospha te for control s tati o ns with ha rvested s ta t i on data supe r i mpo sed Septembe r 30 1 987

V PHYTOPLANKTON I PRIMARY PRODUCTIV ITY STUDIES

V A INTRODUCTION

The experimenta l des i g n of th i s port i on of the i nvesti gati ons u t i l i zes

three pa i rs of stati ons to compare popu l at i ons and product i v i ty i n the

heavy vegetated versus harvesteq areas Thi s des i gn was sel ected to

i denti fy both the di fferences between harvested and vegetated areas as

we l l as responses to grad i ents ( rel ati ng to vegetati on andor water

qual i ty ) that may ex i s t a l ong the approx i mate two mi l e path of the

transect Under und i sturbed cond i ti ons d i sti nct d i fference between

heav i ly vegetated areas and open water mi ght be expected wi th regards to

both pri mary producti on and spec i es compos i ti on Such patterns cou l d be

expected to resu l t from the combi ned i nfl uences of reducted 1 i g h t a nd

i ncreased habi tat for peri phyton i n areas heav i ly vegetated by emergent and

submergent vegetati on

The sel ected sampl i ng strategy for assess i ng

phytopl ankton communi ti es empl oys a two-fol d approach

i nfl uences on

Three sets of

i ni ti a l sampl i ngs were made a t approxi mately one wee k i nterva l s i n

September 1987 ( the 17th 22nd a nd 30th ) i mmedi ately fo l l owi ng harves t i ng

of the transect to assess s hort-term affects These are to be fo l l owed and

compl emented by three seasona l l y based sampl i ng peri ods The seasonal

sampl i ng t imes were se l ected to correl ate wi th the peri ods of l ow

temperatu re and l i ght (January - 13th ) the nonna l Spri ng phytopl ankton

i ncrease (Apri l ) and h i gh l i ght a nd temperature (June ) These three

sampl i ng t imes wi l l prov i de the seasona l ly i mportant po i nts i n the a nnua l

cycl e of producti v i ty

5 - 1

The fol l owi ng observed qual i tat ive di fferences i n vegetati on patterns

between s tati ons and sampl i ng dates shou l d be noted when eva l uati ng

measured quant i tati ve d i fferences

1 ) l arge amounts of part i c u l ate matter ( probab ly resu l ti ng from the harvesti ng wh i ch was occurri ng in immedi ately adj acent areas ) was present i n the water col umn on September 17th and 22nd and to a somewhat l es ser degree on September 30th

2 ) regrowth of the harvested transect was a l ready apparent by September 30th Thi s comb i ned wi th the the norma l w i nter d ie-bac k of vegetati on i n the untreated control area s resu l ted i n l i ttl e apparent d i fference i n aquatic weeds between harves ted and non-harvested areas by January 13th

3 ) when station 7 was acc i dently harvested a second t ime s tat i on 7 5 was added i n a comparabl e l ocati on a l ong the treatment transect wh i ch had only been harvested once

Analysi s of popu l at i on s tructure based on i dent i fi cati on to the genus

( or l ower) l eve l are bei ng conducted i n conjuct i on wi th primary

producti v i ty measurements Di fferences i n phytop l ankton communi t i es

between vegetated and harvested areas were expected due to d i ffering

hab i tat Major changes were a l so ant i c i pated between the seasona l sampl i ng

peri ods as changi ng l i ght temperature and nutrient l evel s mi ght be

expected to affect both the structural re l at i ons h i ps ( d i atomgreenbl ue

green ) as wel l as the producti v i ty of the phytopl ankton popu l at i ons

I n order to quan t i fy t he wi th i n stati on vari abi l i ty of water qual i ty

chem i stry sampl es were col l ected i n tri pl i cate a t each samp l e s i te

V B METHOOS

B 1 Si tu Profi l es of Phys ical Parameters

Depth temperatu re d i s sol ved oxygen conduct i v i ty a nd pH were

measured i n s i tu wi th a Hydro l abtrade

Model 8000 sys tem or Surveyor Model

I I system Profi l es were made from the surface to the bottom i n O Sm

5 - 2

i ncrements at each sampl i ng s tati on l ocat ion Depth measurements were

determi ned on the bas i s of pre-measured marks on the u n i t s cabl e

Pre-sampl i ng i nstrument cal i brati ons were conducted wi th i n 24

hours pri or to use Temperature was measured wi th a l i near res i stance

thermi s tor factory ca l i brated and accurate to wi th i n plusmn0 2degC

Di s sol ved oxygen ( D O ) was measured wi th a temperature-compensated

pas s i ve pol arogra ph i c cel l whi ch meas ures the parti a l pressure of

oxygen as parts per m i l l i on ( ppm or mg l ) of oxygen plusmn0 2 ppm The

probe were cal i brated u s i ng the oxygen ten s i on of water-saturated a i r

( temperature corrected ) a s a standard

The conduct i v i ty probes are s i x e l ectrode cel l s and were

cal i brated aga i nst a KC l sol ut ion of known conducti v i ty Probe

response i s then tested w i th a sol ut ion of known l ow conducti v i ty to

ensure that the read i ng i s plusmn1 0 of the range sel ected The probes

are automati ca l ly temperature compensated to prov i de conducti v i ty at

25 degC

The Hydrol abtrade

pH probes a re g l as s KCl fi l l ed wi th s i l ver s i l ver

chl ori de reference e l ectrodes and refi l l abl e juncti ons They are

automati cal ly temperature compensated Two buffer cal i brat i on

procedures elllp l oyed s tandard commerc i al buffer sol ut i ons of 7 0 and

10 0 pH un i ts to wi thi n plusmn 0 1 the cal i l brati on accuracy of the probe

Ox i dati on-reducti on potenti al (ORP ) was measured u s i ng a

pl ati num-ti pped g l ass ORP probe and standard pHORP s i l ver s i l ver

chl ori de reference probe Convers i on of these ORP val ues to those of

a standard hydrogen el ectrode can be approx i mated by add i ng 200 mV to

the resu l ts from the s i l ve r s i l ver chl ori de e l ectrode

5 -3

B 2 Light Profi l es

L i ght i ntens i ty profi l es were conducted at each s tati on u s i ng a

LI -COR ( Model L I - 185B ) quantumrad i ometer photometer equ i pped wi th a n

underwater L I - 1925B quantum sensor to measure photosynthet ica l l y

act i ve rad i at ion L i ght i ntens i ti es (m icroei nstei nsm2

sec ) were

measured i n the a i r j u s t above the water surface aga i n just bel ow the

surface and at s i x sel ected depths ( 20 40 50 60 80 and 100 cm )

B 3 Primary Producti v i ty Incubati ons

F ive subsurface water samp l es were col l ected i n the area of each

stat i on l ocat i on These were randomly col l ected to account for

phytopl ankton patc h i ness The subsurface sampl es were pl aced i n f ive

repl i cate l i ght ll and two ( bl ac k pl ast i c d i pped ) II darkll ac i d-ri nsed

450 ml g l ass i ncuba t i on bottl es Each bott l e was then i nnocu l ated

wi th 10 mi crocuri es of trace meta l -free 14C ( to obta i n counts of

approx i matel y ten thousand counts per mi nute or CPM depend i ng on

phytop l an kton l evel s ) and then qu i ck ly repl aced to be i ncuba ted i n

s i tu at a depth of 0 2 meters for two hours ( see Fi gure 5 1 ) Al l

i ncuba t i on s were conducted wi th i n two hou rs of apparent noon to

standard i ze for known patterns of d i urnal peri odi c i ty i n phytopl ankton

product ion Cumu l at i ve l i ght l evel s duri ng the i ncuba t i on peri ods

were recorded us i ng a LI -COR i ntegrati ng quantum photometer After

i ncubati on al l s ampl es were pl aced i n the dark i n cool i ce ches ts and

qu i c k ly returned to a n on-s i te l aboratory fac i l i ty and prepared for

sci nt i l l a ti on count i ng

5 -4

FIGURE 5 1

u

If srru IfCUBATION RACKS

8 4 Pri mary Product i v i ty - 14C uptake

The fol l owi ng procedures were underta ken to determi ne the overa l l

rates of 14C f i xa t i on as wel l as those proport i ons attri butabl e to

the pi co- ( 1 ess than 5 mi cron ) nanno- ( 1 ess than 20 mi cron ) and

net-pl ankton ( g reater than 20 mi cron ) as wel l as the rel ati ons h i ps

between 14C uptake b i omass estimates and l i ght quanta Three

separate subsampl es were taken from each of the l i ght samp l e bott l e s

and processed as fol l ows

1 ) 50 ml i s fi l tered through a 2 4 cm Whatman GFC g l ass fi ber fi l ter us i ng l ow vacuum ( l ess than 2 PSI ) The wet fi ber fi l ter i s then pl aced i n a sc i nt i l l ati on v i a l and frozen unti l ready for ana lys i s To beg i n analys i s 0 5 ml of 0 1 NHC l i s added to each v i a l and a l l owed

5 -5

to stand for 3 hours before the add i t i on of 10 0 ml of s c i nti l l at i on fl uor 2 ) A second su bsampl e i s prepared i n the same manner as the fi rs t except pri or to fi l teri ng the 50 ml subsampl e i s passed throug h a 20 mi cron N i tex screen 3 ) The th i rd subsamp l e i s prepared i n a l i kewi se manner but passed throug h a 5 m i cron N i tex screen pri or to fi l teri ng Dark bottl es are fi l tered on ly as i n the fi rst exampl e Three corres pondi ng fl l ter bl anks for each s tati on are prepared by addi ng ten mi c rocur ies to a 450 ml i ce stored water sampl e ta ken at the same stat ion and then i mmedi atel y tak i ng three 50 ml subsampl es These are fi l tered as i n ( 1 ) above 4 ) After the add i t ion of the sc i nt i l l at i on fl uor the v i al s are a l lowed to dark adapt for at l east 24 hours before bei ng counted 5 ) Pri or to runni ng each set of sampl es background and known 1 4C standards are ru n to check and val i date the performance of the l aboratory s Pac4rd l i qu i d sc i nt i l l at ion system Veri fi cati on of the acti vi ty of the C i nnocu l a t i on sol ution is a l so made 6 ) Each sampl e i s cou nted for 30 mi nutes or unti l the CPM i n spectral reg i on A have a standard dev i at i on of l ess than 0 2 Counts per m i nute are then converted to d i s i ntegrati ons per mi nute us i ng the fi l ter s tandardi zat i on channel s rat io method

8 5 Ch l orophyl l a

Chlorophy l l a measurements have been wi dely used to est imate

phytopl a nkton b iomass For the purpose of these i nvesti gati ons

chl orophyl l l evel s of the 1 ) greater than 20 micron 2 ) l ess tha n

20 mi c ron and 3 ) l ess than S micron s i ze fracti ons were determi ned

on sampl es col l ected s imu l taneou s l y wi th those for pri mary

producti v i ty i ncubat ions Th i s procedure prov i ded comparabl e

estimates of both the b i omass and producti v i ty rates of each of the

three s i ze fract i on s

8 6 Wa ter Chem i stry

Surface water sampl es were co l l ected for analys i s at each of the

phytop l ankton primary product i v i ty stati ons Water i s col l ected i n

pre-l abel ed one l i ter po lyethyl ene conta i ners Chl orophyl l samp l es

5 -6

conta i ne rs were fi rst ri nsed and then qu i ck ly resubmerged bel ow the

s urface w i th the mouth fac i ng upcurrent Bacteri a sampl es were

col l ected i n pre-autocl aved 250 ml polyethyl ene contai ne rs a s above

except that samp l e conta i ne rs were not pre-r i nsed Al l sampl es were

stored on i ce and i n the dark and returned to the l aboratory fol l ow i ng

s tandard c ha i n of custody and qual i ty assurance procedures

Chl orophyl l was determi ned both uncorrected and corrected for

pheophyt i n u s i ng a Turner fl orometer Total col i form bacteri a were

determi ned u si ng the fi l ter membrane method ( APHA 909 b c ) Resul ts

were reported as l es s than a g i ven val ue based on d i l ut i ons when

actual f i l ter counts were zero

B 7 Popu l a t i on Structure

Sampl e s for determi nat i on of phytopl ankton communi ty structure were

col l ected i n conj uncti on wi th those taken for primary producti v i ty

measurements One l i te r polyethyl ene sampl e contai ners were

i mmedi atel y fi xed w i th 4 1111 of Lugol s sol ut ion Lugol s genera l ly

be i ng prefe rabl e for the p reservati on of sampl es wh i c h may i nc l ude

fl agel l ates The sampl es were p l aced on i ce i n the dark for

transportati on back to the l aboratory where they are he l d at 4degC

unti l prepared for counti n g I n i ti al l y a thorough i nventory and

taxonomi c analys i s of pos s i b l e taxa whi ch mi ght be expected to be

present was compl eted (Append i x C ) When a thoroug h taxonom i c basi s

has been assembl ed sampl es were prepared for observati on us i ng a

Ze i ss i nverted mi c roscope and a comb i nati on of s tandard centri fugation

a nd settl i ng procedures as fol l ows

5 -7

1 Sampl es are removed from the refri gera tor and gently shaken to assure resuspens i on of a l l materi al 2 Randomly sel ected subsampl es tota l i ng 50-100 ml ( dependi ng on the concentrat ion of the materi a l i n the sampl es ) are wi thdrawn and pl aced i n a 50 ml con i ca l g l as s centri fuge tubes 3 The tubes a re spun at a pprox imatel y 50 x g for 45 mi nutes Three to four drops of i od i ne so l uti on i s added at the top of the tubes whi ch w i l l then be a l l owed to s tand for at l east 24 hrs 4 ) At the end of the fi rs t settl i ng peri od the sett l ed materi a l i n the bottom 2 5 ml and a ny cel l s adheri ng to the surface ten s i on of each centri fuge tube i s drawn off a nd p l aced i n a 10 ml Ze i ss i nverted mi croscope settl i ng chamber 5 Two drops o f i od i ne sol u t i on wi l l be added to promote settl i ng and the compos i te sampl es i s aga i n be a l l owed to stand und i s turbed for another 24 hrs 6 Taxonomi c determi nati ons to the l owest pract ica l taxonom i c l evel were conducted from random fi el ds u s i ng a Zei ss i nverted mi croscope and a mod i fi ed s tri p method to ensure that counts i ncl uded representati ve areas of the counti ng chamber To determi ne commun i ty s tructu re at l east 500 cel l s are i denti f ied primari ly u s i ng 500x and 1000x objecti ves a nd 16x wi de fi el d ocul ars 7 After hav i ng recorded the taxonomi c determi nati ons of 500 cel l s add i t i ona l notes on each sampl e are comp i l ed us i ng a combi nati on of l ow and h i gh power objecti ves 8 Determi nati on of the number of cel l s per un i t vol ume wa s conducted for the same samp l es by enumerati ng cel l dens i t i es of randomly sel ected fiel ds aga i n u s i ng a mod i fi ed s tri p method and mak i ng appropri a te d i l uti on cal cul ati ons

v c INTERIM RESULTS

A more thorough a nd comprehens i ve summary of the resu l ts of the

phytopl an kton stud i es i nc l u d i ng seasonal and between stati on compari sons

of carbon uptake rates wi l l be i nc l uded i n the fi nal report Such a fi nal

surnna ry ana lys i s wi l l a l s o i nc l ude a detenlli nati on of the i nteract i ons

between phys i cal factors ( such as l i ght temperature ) a nd ambient nutri ent

concentrati ons on observed seasonal l eve l s primary producti on and commun i ty

s tructure The fol l owi ng s ummari zes the resu l ts to date

C 1 Phys i cal Parameters - The resu l ts of the i n s i tu Hydrol ab and l i gh t

5 -8

cast profi l es by date and stat i on are conta i ned i n Append i x A The

reported resu l ts for the l i ght profi l e analyses i nc l ude

1 ) regress i on of the l og of observed l i ght l evel s vs depth a l ong wi th the resu l tant coeff i c i ents for the l i ne and R squared val ues

2 ) based on the ca lcu l ated regress i on l i ne expected vs observed va l ues are pl otted (The i nfl uences of aqua t i c weeds i n reduc i ng l i ght l evel s can c l early be seen by compari ng such p lots for control a nd havested s tati ons )

3 ) an ext i nct ion coeffi c i ent based on the regress i on l i ne i s cal cul ated a s i s a pred i cted one percent l i ght depth ( m)

4 ) pred i cted l i ght and percent of surface i rrad i at i on l evel s as se l ected representati ve depths are determi ned

An effect i ve method of eva l uati ng the l i ght penetrati on

characteri st i cs i s to compare the computed depth where only 1 of

surface l i ght rema i ns ( th i s va l ue i s often assumed to be the

approx i mate compensati on depth where phytopl a nkton photosynthes i s =

phytopl ankton respi rat i on )

One Percent L ight Depth (m)

Stati on Sept 17 Sept 22 Sept 30 Ja n 13

7 1 84 1 2 1 1 23 1 57

8 2 33 2 36 1 90 1 37

9 2 65 2 6 1 2 09 1 46

10 0 42 0 42 0 76 1 70

11 0 36 0 39 0 36 1 6 1

12 0 44 0 36 0 57 1 67

7 5 1 59

These resu l ts c l early show that duri ng each of the three sampl i ng

dates i n September water c l ari ty a l ong the ha rvested transect

5 -9

i ncreased waterward from s tati on 7 to 9 At the same time l i ght

l evel s of the profi l es taken at the weed covered control s tati ons

( 10 1 1 12 ) decl i ned rap i d ly Tabl e 5 1 s tati s ti ca l ly compares the one

percent l i ght depth between the harvested ( E ) for experimental and

the control ( C ) stati ons grouped by date On each of the three

September dates the mean depth of the one percent l i ght l evel was

s i gn i fi cantly g reater for the harvested transect I n January 1988

weed cover a t a l l stations was apprOX i mately the same and nei ther of

the two above patterns were observed wi th the depth of the one

percent l i ght l evel bei ng s l i ghtly but stat i sti ca l ly l ess a l ong the

harvested transec t

The fol l owi ng tab l e s umma ri zes observed top and bottom d i s sol ved

oxygen l evel s by sta t i on and date Du ri ng each of the September

sampl i ngs bottom d i s sol ved oxygen l evel s at the control stations were

much l ower than a l ong the harvested transect Top and bottom

d i ssol ved oxygen l evel s i n January show the i nfl uences of cool er water

temperatures and emphas i z e the even d i s tri but ion of aquat ic weeds over

the study area

5 - 1 0

Di ssol ved Oxygen Level s ppm ( topbottom)

Stati on Sept 1 7 Sept 22 Sept 30 Jan 1 3

7 8 0 6 7 5 2 9 1 3 9 4 2 2 7 7 2

8 6 4 5 5 5 6 9 8 3 9 4 8 5 5 7 3

9 7 6 6 4 5 5 9 5 6 4 6 0 5 4 7 8

10 8 1 6 5 6 0 8 8 0 2 1 9 0 1 7 4

1 1 1 1 0 4 9 9 0 8 8 1 6 2 0 5 3 7 4

12 6 9 6 2 7 9 8 6 1 7 2 5 2 2 8 5

7 5 9 2 6 9

These resul ts are stat i st i ca l l y summari zed i n Tabl e 5 2 Aga i n E middotI

val ues represent means for the harvested stati ons and C a re for the

correspond i ng control s

C 2 B i omass - Chl orophyl l resul ts of the 1 ) whol e sampl e ( A ) 2 ) l ess

than 20 mi crons i n s i ze ( B ) and 3 ) l ess than 5 mi crons ( C ) for the

tri pl i cate sampl es taken on each date at each stat i on are presented i n

Append i x B Val ues are reported both as uncorrected and corrected for

phaeophyti n However i t shou l d be noted that correcti ng for

phaeophyti n may be i naccurated us i ng the fl uorometri c method when

s i 9n1 fi cant numbers of green a l gae are present due to 1 nterference

wi th chl orophyl l pound Mean val ues for the whol e s i ze fra c t i ons

( uncorrected ) are s ummari zed in the fol l owi ng tab l e

5 -1 1

Chl orophyl l a (mgm3 )

Stat ion S ept 1 7 Sept 22 S ept 30 Jan 13

7 5 5 22 4 29 90 9 73

8 46 5 34 0 34 95 10 98

9 66 7 45 7 53 45 10 36

10 1 2 8 107 6 65 25 8 63

1 1 68 0 128 4 64 09 4 48

12 17 8 1 1 1 2 98 76 5 14

7 5 9 82

The o n l y defi n i ti ve pattern appears to be seasonal Stati sti ca l

compari sons between the experimental ( harves ted ) and control s tati ons

by date are presented i n Tabl e 5 3

C 3 Taxonomi c Ident i fi cati on - The work i ng l i s t wh i ch formed the bas i s

o f the taxonomi c determi nati ons i s presented i n Tabl e 5 4 The

resu l ts of the taxonomi c determi nati ons of phytopl ankton conmnun i ty

structure are conta ined i n Appendi x C The number o f cel l s i dent if i ed

are l i s ted by taxonomi c groups Co l on i al forms were counted as fi ve

or ten i nd i v i dua l s depend i ng on the s i ze of the col ony The rel at i ve

d i stri but i ons of the four major taxonomi c groups ( Green Al gae

Di atoms D i nofl agel l ates and Bl ue-Greens ) by date and sta t i on are

summari zed i n F i gure 5 2 The patterns are c l earl y evi dent

1 ) Bl ue-Green a l gae were domi nant at a l l stati ons duri ng each o f the three sampl i ng dates i n September

2 ) Th i s domi nance o f Bl ue-Green a l gae over the other major taxonomi c

5 - 1 2

groups showed a ma rked dec l i ne duri ng the January samp l i ng peri od 3 ) Wi th in samp l i ng dates there were no apparent systemat ic

d i fferences between the harvested and control stat i ons when they were summari zed on the bas i s of the compos i t i on of thei r major taxonomi c c l as s i fi cat i ons

C 4 Analys i s o f Communi ty Structure - Di vers i ty and s im i l ari ty

i nd i ces ( see Tab l e 5 5 for equa ti ons ) have been wi del y ut i l i zed i n

ana lyz i ng communi t i es structure Such i nd ices a l l ow l a rge amounts of

informati on rel evant to the ri chness and equ i tabi l i ty of s pecies

wi th i n a communi ty to be organi zed and reduced i nto a s i ng l e

quanti tat i ve expres s i o n Two properties s hou l d cha racteri z e a

d i vers i ty i nd i ce i n order to accompl i s h thi s accuratel y 1 ) the i ndex

shou l d atta i n i ts max imum val ue when al l s pec i es are equal l y

d i stri buted and 2 ) i f al l spec i es wi th i n two samp l es are equa l ly

di stri buted the va l ue of the i ndex shou l d be greater for the

popul ation wi th the l arger number of s pec i es A second va l ue termed

lIevennes s can be ca l cu l ated for a number of the most commonl y

app l i ed d i vers i ty i ndi ces Evenness i s the- rat i o of observed

di vers i ty to the max i mum di vers i ty for a sampl e of a gi ven s i ze and

number of taxa and as such i s often useful i n determi ni ng the

re l ati ve deg ree of domi nance between a group of samp l es The

Shannon-Wi ener i ndex ( P i el ou base e ) was proposed as a method of

determi ni ng the rel ati ve amou nt of i nformati on wi th i n a popul ati on as

an express i on of the uncerta i nty of pred i ct ing the i dent i ty of any

gi ven i nd i v i dua l sel ected at random On a theoret i ca l l evel th i s may

be v i ewed as oppos i te from the bas i s of the S i mpson i ndex wh ich can

be vi ewed as the probab i l i ty that any two i nd i v i dual s sel ected at

random from wi th i n a samp l e bel ong to the same taxon When compa red

5 - 1 3

to the Shannon i ndex S impson tends to accentuate the presence of

common taxa over rare and thus i s often usefu l as a rel at i ve measure

of domi nance w i th i n a cOlTlfluni ty The Mc I ntosh i nd i ces ut i l i ze a

un iquely d i fferent means of measuri ng d i vers i ty and evenness by

eva l uati ng commun i ty s tructure by coord i nate d i sta nces Conceptua l l y

they measure u n i formi ty wi th i n an S -d i me ns i onal hyperspace

Unfortunatel y no s i ng l e or even group of i nd i ces have atta i ned any

degree of un i versa l acceptance Therefore i t i s often d i fficul t or

impos s i bl e to correl ate d i rect ly stud ies of s im i l ar communi t ies

because of re l i a nce u pon d i fferent i nd i ces The i nd i ces reported here

were chosen both because of the varyi ng degree of emphas i s each pl aces

upon d i fferent a s pects of communi ty structu re and because of the i r

rel at i ve l y frequent usage

The b i o l og i ca l va l i d i ty

cri ti c i zed if a ttempts

of d i vers i ty

are made to

i nd i ces

extend

can readi ly be

the mathemat ica l

characteri st i c s a nd l aws of i nformati on theory conta i ned wi th i n such

i nd i ces to commu n i ty s tructure However if these mathematical

express i ons are v i ewed mere ly as conven i ent methods for condens i ng

compl ex data i nto s i mp l e descri ptive stati sti cs we i g ht i ng both the

number and d i s tri but i on of i nd i vi dua l s among taxa then the i r

appl i cat ion becomes i mportant

Append i x 0 conta i ns the resu l ts of the mathemat i ca l reduction of each

stati on by sampl i ng date The fol l owi ng summari zes the d i versi ty

( P iel ou base e ) and the numbser of observed taxa by date and stati on

5 -14

Sampl e Di vers i tyNumber of Taxa

Stati on Sept 17 Sept 22 Sept 30 Jan 13

7 2 46 2 88 2 45 2 98 33 36 32 42

8 2 52 2 84 2 28 3 38 37 38 30 48

9 2 39 2 05 2 33 2 08 32 24 29 30

10 2 42 2 44 2 75 3 22 36 26 35 44

1 1 2 48 2 38 2 39 2 93 32 27 28 38

12 2 44 2 69 2 22 2 60 34 33 25 34

7 5 2 88 4 1

Both the d i vers i ty and number of taxa at stati ons 7 8 10 and 1 1

i ncreased i n January rhe l ack of a s i mi l ar re sponse at stati ons 9

and 12 i n Janua ry may have been cau sed by the heavi er aquati c

vegetati on whi ch was present A stati stical compari son of the

di vers i ty of taxa be tween harves ted and url harves ted areas by date i s

presented i n Tabl e 5 6 The resul ts i ndi cated no si gnifi cant

d i fferences

C 4 Communi ty Simi l a ri ty - Fi gu re 5 7 contai ns for each sampl i ng date

an ordered matr i x of the s imi l ari ty i nd i ce C l ambda lh i s i ndex

a l so know as the Mori s i ta-Ono i ndex i s w i de ly used as a measurement

of s imi l ari ty wei ghti ng both the presence of spec i es and the rel ati ve

5 -1 5

abundance d i stri but i on of each spec i es between sampl es Th i s

s imi l ari ty i ndex i s conceptua l l y unamb i guous i n that anal ogous to a

probab i l i ty or corre l at i on coeffi c i ent i ts va l ues vary from 0 0 to

1 0 Zero representi ng tota l d i ss i mi l ari ty a nd one perfect i denti ty

Val ues from 0 0 to 0 4 are general l y ta ken to denote sampl es from

hi gh ly d i fferent commun i t i es wh i l e val ues from 0 4 to 0 6 resu l t from

compari ng the d i s tri buti on s of taxa from col l ecti ons of i ntennedi ate

l i kenes s and val u es of 0 6 to 1 0 characteri ze samp l es taken from

i ncreas i ng ly s i mi l ar or i dent i ca l communi ti es Unordered matri ces of

such a s i mi l ari ty measurement though useful may often be confus i ng

I n devel opi ng these tabl es the unordered matri ces were rearranged by

the fol l owi ng cri teri a The s i te wi th the l owes t affi n i ty ( val ues ) to

a l l the other s i tes was p l aced at the top of the Y ax i s Bel ow th i s

was pos i ti oned the s i te wi th the h i ghest affi n i ty to the fi rs t s i te

Ranked i n the th i rd pos i ti on was the s i te wi th the greatest s imi l ari ty

to the second s i te not a l ready l i sted Th i s procedure was fol l owed

unti l al l s i tes had been l i s ted i n a comparati ve ord i nat i on a l ong the

Y ax i s Each matri x was then compl eted by reversi ng the ranked order

of the s i tes a l ong the X axi s By th i s method each tabl e was

constructed i n such a ma nner that the affi ni ty val ues genera l l y

i ncrease both from top to bottom and from l eft t o ri ght Thi s resu l ts

i n the c l usteri ng of areas of h i g h s i mi l ari ty separated by areas of

l ow affi n i ty a l ong the d i agona l marg i n

rh i s ana l ys i s of p hytop l a nkton communi ty s tructure shows no c l ear

d i sti ncti ons between harves ted and unharvested stati ons I n genera l

the s i mi l ari ty among stati ons was hi gh on the September 30th samp l i ng

5 -16

date and much l ower on January 13th The other two sampl i ng dates

show i ntermedi ate l eve l s of affi n i ty between stati ons

C s Summary of Stati sti cal Analys i s - The fol l owi ng summari zes the

resu l ts of the procedi ng stati st i ca l analys i s for vari ous physi cal and

b i ol og i ca l parameters

DO Top Bot

1 Depth

Chl a

Di v

I

Stati sti ca l Compari son of Means for Control vs Harvested Transects

Sept 17 Sept 22 Sept 30 Jan 13

T -test Wi l coxon T -tes t Wi l coxon T-test Wi l coxon T- tes t Wi l coxon

NS NS NS NS 067 05 02 046 02 04 0 1 05 NS NS NS NS

001 049 01B 05 014 05 03B 0 5

N S N S 0007 05 0 5 05 033 05

NS NS NS NS NS NS NS NS

Di ssol ved oxygen l evel s were s i gn i fi cantly h i g her on the bottom

a l ong the harvested transect on the 17th and 22nd of September

Th i s was a s hort term effect cau sed by the harvest i ng of aquati c

vegetation a l ong the transect

2 Su rface di ssol ved oxygen was l ower a l ong the experimenta l transect

on September 30th ( due to product ion by the vegetat i on al ong the

control ) and hi gher i n January

3 ) The one percent l i ght depth was greater a l ong the harvested

transect except i n January Th i s ta ken wi th the January pattern

5 -17

i n d i sso l ved oxygen g i ve s some i nd i cati on that i n January there

was more aquat i c vegetat i on a l ong the harvested than the contro l

4 ) Chl orophyl l a was probably heav i ly i nfl uenced by smal l part i cu l ate

mater ia l i n the water caused by harvest i ng and peri phyton on

submerged vegetat i on Wi th i n s i te variabi l i ty was sma l l when

compared wi th the vari ati ons between s tati ons

V D FINAL REPORT-ANALYSES

The f i na l report wi l l i ncorporate the fi na l two sampl i ng dates i nto

the above vari ous types of ana l ys i s I n add i t i on

1 ) Rates o f pr imary production for a l l s ampl i ng dates wi l l be reported and compared

2 ) Rates of primary product i on wi l l be ana lyzed to determi ne the rel at ive i nfl uences of water qual i ty and physi cal parameters

3 ) Cl uster anal ys i s w i l l be ut i l i zed to further i nvest i gate patterns of taxonomi c assoc i at i ons

I t shou l d be noted however that g i ven the patterns of the f i rs t four

sampl i ng dates and the apparent regrowth of aquat ic vegetati on al ong the

harvested transect the on l y further d i fferences i n the phytopl an kton

port i on of the study s hou l d be s easonal No add i ti onal d i fferences between

the harvested and unharvested transects are expected

5 - 18

FIGURE 5 1

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 5 22666667 0 084083333

E C

3 2 2 7333333 3 0 40666667 F Value

62 16 1 Prob gt F

0 0014

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Con t i nui ty Correction of 5 )

S- 15 0000 z- 1 74574

T-Test approx Signi ficance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vall i s Tes t (Chi -Square Approximation) CBISO- 3 8571 DF- 1 Prob gt CBISOa 0 0495

Mean Score

5 0 2 0

rIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BENEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 4 18335000 0 279200000

E C

3 2 06000000 3 0 39000000 F Value

14 983 Prob gt F

0 0 180

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Test (Normal Approximation) (wi th Continui ty Correct ion of 5 )

S- 15 0000 z- 1 74574

T-Tes t approx Signi ficance -

Prob ) I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Ch i - Square Approximat ion ) CBISQ 3 857 1 DF- 1 Prob gt CBISQ= 0 0495

Hean Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analys is of Variance

N Hean Among HS Vi thin HS 2 0768 1667 0 1 22066667

E C

3 1 bull 74000000 3 0 56333333 F Value

1 7 014 Prob gt F

0 0 146

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 128785 6 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continui ty Correction of 5 )

S - 1 5 0000 z- 1 74574

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Chi - Square Approximat ion) CHISOz 3 857 1 OF- 1 Prob gt CHI SO- 0 0495

He an Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BEMEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

N Mean Among HS Vi thin HS

E C

0 056066667 0 006066667 3 1 46666667 3 1 bull 66000000 F Value

9 242

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Expected Std Dev Scores Under HO Under HO

6 0 10 5000000 2 29128785 15 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Test (Normal Approximat ion ) ( wi th Continui ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

Prob gt F 0 0384

Hean Score

2 0 5 0

T-Test approx Signi ficance bull

Prob gt I z l middot 0 0809

0 1413

Kruskal-Vallis Test (Chi -Square Approximat ion ) CHISO 3 857 1 DF 1 Prob gt CBISO- 0 0495

FIGURE 5 2

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SBPTBKBBR 1987

Analysi s of Variance

SURFACE

N Mean Among HS Vi thin HS 2 66666667 2 56833333

E 3 7 33333333 C 3 8 66666667 F Value Prob gt F

1 038 0 3658

BOTTOH

N Mean Among HS Vi thin HS 1 9 08 16667 1 39333333

B 3 4 73333333 C 3 1 16666667 P Value Prob gt P

1 3 695 0 0208 Average Scores were used for Ties

FIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Vilcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

Hean Score

E 3 8 0 1 0 5000000 2 29128785 2 66666667 C 3 1 3 0 1 0 5000000 2 29128785 4 33333333

E C

Vilcoxon 2 -Sample Tes t (Normal Approximat ion ) (wi th Con t inu i ty Correct ion o f 5 )

S- 8 00000 z- - 872872

T-Tes t approx S igni ficance -

Prob ) I Z I - 0 3827

0 4227

Rruskal-Vallis Tes t (Chi-Square Approxima tion ) CBISO- 1 1 905 DF- 1 Prob ) CBISOz 0 2752

BonOH

SUII of Expected Std Dev N Scores Under BO Under BO

3 15 0 10 5000000 2 2583 1 796 3 6 0 10 5000000 2 2583 1 796

Average Scores were used for Ties

Vi lcoxon 2 - Sample Tes t (Normal Approximation ) (wi th Con t inui ty Correct ion o f 5 )

So 15 0000 Z- 1 77123

T-Tes t approx Signifi cance -

Prob ) I Z I - 0 0765

0 1 367

Kruskal-Vallis Tes t (Chi - Square Approximation) CBISO= 3 9706 DP- 1 Prob ) CBISO= 0 0463

He an Score

5 0 2 0

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVBEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Mean Among KS Vl tbln KS 0 1 66666667 0 556666667

E 3 6 20000000 C 3 5 86666667 F Value Prob gt F

0 299 0 6 1 34

BOTTOK

N Kean Among KS Vl tbln KS 1 5 3600000 0 755000000

E 3 5 00000000 C 3 1 80000000 F Value Prob gt F

20 344 0 0107

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

E 3 1 2 0 1 0 5000000 2 2 9 1 28785 C 3 9 0 10 5000000 2 29 1 28785

Vi lcoxon 2- Sample Tes t (Normal Approximation ) (vi th Continui ty Correction o f 5)

S- 1 2 0000 z- 0 436436

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 6625

0 6807

Kruskal -Vallis Tes t (Chi -Square Approximation) CHISO- 0 42857 OF- 1 Prob gt CBISa- 0 5 127

E C

N

3 3

Sum of Scores

BOTTOH

Expec ted Under BO

S td Dev Under BO

15 0 10 5000000 2 29128785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (vi th Cont inui ty Correc t ion of 5 )

S- 1 5 0000 Z- 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t ( Chi-Square Approxima tion ) CHI SO- 3 857 1 OF- 1 Prob gt CBISO= 0 0495

Mean Score

4 0 3 0

Hean Score

5 0 2 0

PIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 7 26000000 1 17333333

E 3 5 43333333 C 3 7 63333333 F Value Prob gt F

6 187 0 0677

BOTTOM

N Mean Among MS Vi thin KS 6 00000000 4 68333333

E 3 4 53333333 C 3 2 53333333 F Value Prob gt F

1 281 0 3209

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

llilcoxon Scores (Rank Sums )

SURFACE

Sum o f Bxpected Std Dev N Scores Under BO Under BO

E 3 6 0 1 0 5000000 2 29 1 28 785 C 3 1 5 0 1 0 5000000 2 29 128785

ll i lcoxon 2-Sample Tes t ( Normal Approximat ion ) (wi th Cont inuity Correct i on of 5 )

S - 6 00000 zmiddot - 1 74574

T-Test approx Significance bull

Prob gt I Z I middot 0 0809

0 14 13

Kruskal-llallis Tes t (Chi-Square Approximat ion) CBISO- 3 857 1 DF- 1 Prob gt CHISO= 0 0495

N

BOTlOM

Sum o f Expec ted Scores bull Under BO

Std Dev Under BO

Mean Score

2 0 5 0

Mean Score

B C

3 3

14 0 10 5000000 2 29128785 4 66666667 7 0 10 5000000 2 29128785 2 33333333

llilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continuity Correct i on of 5 )

S- 1 4 0000 Zmiddot 1 3093 1

T-Tes t approx Significance bull

Prob gt I Z I - 0 1 904

0 2474

Kruskal-llallis Tes t ( Chi-Square Approximat ion) CBISO= 2 3333 DF= 1 Prob gt CHISO= 0 1 266

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

E C

E C

Analys is of Variance

SURFACE

N Hean Among HS Vi thin HS 0 806666667 0 068333333

3 9 46666667 3 8 73333333 F Value

N

3 3

1 1 805 Average Scores were used for Ties

BOTlOH

Hean Among HS 0 166666667

7 43333333 7 76666667 F Value

0 658 Average Scores were used for Ties

Prob gt F 0 0264

Vi thin HS 0 253333333

Prob gt F 0 4628

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIHENTAL SITES ON 1 3 JANUARY 1 988

N

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Hean Score

E 3 15 0 10 5000000 2 258 3 1 796 5 0 2 0 C 3 6 0 10 5000000 2 258 3 1 796

E C

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approximation ) ( wi th Continui ty Correction o f 5 )

Smiddot 1 5 0000 zmiddot 1 77 1 23

T-Tes t approx Signi fi cance -

Prob gt I Z I middot 0 0765

0 1367

Kruskal -Vallis Tes t (Chi -Square Approximation) CBISO- 3 9706 DF- 1 Prob gt CBISO= 0 0463

N

BOTrOH

Sum of Scores

Expected Under BO

Std Dev Under BO

Hean Score

3 3

8 0 10 5000000 2 2583 1 796 2 66666667 1 3 0 10 5000000 2 2583 1 796 4 33333333

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approxima t ion ) ( wi th Continui ty Correct ion o f 5 )

S- 8 00000 Z- - 8856 15

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 3758

0 4 164

Kruskal -Vallis Tes t (Chi-Square Approximation ) CBISO- 1 2255 DF= 1 Prob gt CBISO= 0 2683

fiGURE 5 3

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Ii C

E C

N

3 3

N

3 3

Analysis of Variance

SURFACE

Mean Among MS 67 5808907

39 5866667 32 8744444 F Value

0 07 1

Vilcoxon Scores (Rank Sums )

Sum o f Scores

Expec ted Under BO

S td Dev Under BO

Vi thin MS 952 908207

Prob gt F 0 8032

Mean Score

1 0 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 1 0 5000000 2 29 1 28785 3 66666667

Vilcoxon 2 -Sampie Tes t (Normal Approximation ) (wi th Con tinu i ty Correc t i on o f 5 )

Smiddot 1 0 0000 zmiddot o

T-Test approx Signi f i cance bull

Prob gt I Z I middot 0 9999

0 9999

Kruskal-Vallis Tes t ( Chi-Square Approximation ) CBISO- 0 04762 DF- 1 Prob gt CBISO- 0 8273

FIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEBN THE CONTROL AND BXPERIMENTAL SITES ON 22 SEPTBMBER 1 987

Analysi s of Variance

SURFACE

N Mean Among MS Vi thin MS 10416 6667 1 13 777778

B C

3 33 666667 3 1 1 7 000000 F Value

9 1 553 Prob gt F

0 0007

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Bxpected Under 00

Std Dev Under 00

6 0 10 5000000 2 29128785 1 5 0 10 5000000 2 29 128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inu i ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I 0 0809

0 1413

Kruskal-Vallis Tes t (Chi-Square Approximat ion ) COlSQ- 3 8571 DF- 1 Prob gt CHlSQ= 0 0495

Mean Score

2 0 5 0

FIGURE 5 3 ( cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Hean Among HS Vi thin HS 2009 2 1 800 270 667459

E 3 39 4322222 C 3 76 03 1 1 1 1 1 F Value Prob gt F

E C

N

3 3

7 423

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

6 0 10 5000000 2 29 1 28785 15 0 10 5000000 2 29 1 28785

Vilcoxon 2 -Sample Test (Normal Approximat ion) (wi th Con t inui ty Correc tion of 5 )

S- 6 00000 z- - 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vallis Tes t (Chi -Square Approxima t ion)

0 0527

Mean Score

2 0 5 0

CBISO- 3 857 1 OF- 1 Prob gt COISO- 0 0495

PIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LBVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

SURFACE

N Mean Among HS ii thin HS 27 4205630 2 68287963

E C

3 1 0 3588889 3 6 0833333 F Value

10 22 1 Prob gt F

0 0330

E C

N

3 3

ii lcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

ii lcoxon 2 -Sample Tes t (Normal Approximat ion) (vi th Cont i nui ty Correc tion of 5)

S- 1 5 0000 zmiddot 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I - 0 0809

0 1413

Iruskal-iallis Tes t (Chi -Square Approximation) CBISOa 3 857 1 DFa 1 Prob gt CHrSO- 0 0495

Hean Score

5 0 2 0

TABLE 54 VORKING LIST

LAKE OKEECHOBEE PHYTOPLANKTON

Chlorophyta (Green Algae )

I II

001 0 1 001 02 002 0 1 003 0 1 003 02 004 0 1 005 0 1 005 02 006 0 1 007 0 1 008 0 1 009 0 1 0 1 0 0 1 0 1 1 0 1 0 1 2 0 1 0 1 2 02 012 03 012 04 0 1 2 05 012 06 0 1 3 0 1 0 1 3 02 014 0 1 0 1 4 02 015 0 1 0 1 5 02 016 0 1 0 1 6 02 017 0 1 0 1 8 0 1 0 1 9 0 1 020 0 1 02 1 0 1 022 0 1 023 0 1 024 0 1 024 02 024 03 025 01 025 02 026 0 1 027 0 1 028 0 1 029 0 1 030 0 1

Ankis trodesmus falcatus Ankis trodesmus spiralis Ar throdesmus sp As terococcus spinulosus As terococcus sp Carteria cordi formis Chlamydomonas polypyrenoideum Chlamydomonas sp Chlorella sp Chlorococcum s p Chlorogonium sp Chodatella (Lagerhemia) subsalsa Clos teridium lunula Clos teriopsis longissima Clos terium curvaceum Closterium graci le Clos terium kutzingi i f sigmoides Clos terium setaceum Clos terium venus Clos terium s p Coelastrum cambricum Coelastrum microporum Cosmarium circulare Cosmarium s p Crucigenia apiculata Crucigenia quadrata Dictyosphaerium ehrenbergianum Dictyosphaerium pulchellum Elakatothrix gelat inosa Euas trum s p Eudorina elegans Geminella interrupta Golenkinia radiata Gonium pectorale Beteromas t ix angulata Kirchneriella contor ta Kirchneriella obesa Kirchneriella sp bull bull Lagerhemia citri formis Lagerhemia subsalsa Lepocinclis s p Hougeot ia s p Oocystis sp Ourococcus bicaudatus Pandorina morum

031 0 1 031 02 03 1 03 03 1 04 03 1 05 03 1 06 03 1 07 032 0 1 033 0 1 034 0 1 035 0 1 036 0 1 037 0 1 038 0 1 039 0 1 039 02 039 03 039 04 039 05 039 06 039 07 039 08 040 0 1 04 1 0 1 042 0 1 042 02 042 03 042 04 043 0 1 043 02 043 03 043 04 043 05 043 06 043 07 044 0 1 045 0 1 046 0 1 047 01 048 0 1 049 0 1 050 0 1 051 0 1 052 0 1 053 0 1 054 0 1 055 0 1 056 0 1

Pedias trum biradiatum Pedias trum boryanum Pediastrum duplex v grac ilimum Pedias trum duplex v ret i culatum Pedias trum simplex Pedias trum s implex v duodenarium Pedias trum tetras Pedinomonas minor Phacotus lent icularis Platydoriana caudata Polyedriopsis spinulosa Pseudotetraedron neglec tum P teromonas aculeata Quadrigula clos teroides Scenedesmus abundans Scenedesmus acuminatus Scenedesmus arcuatus v platydisca Scenedesmus bij uga Scenedesmus denticulatus Scenedesmus d imorphus Scenedesmus opoliens is Scenedesmus quadricauda Schroderia setigera Spermatozops is exultans S taurastrum cuspidatum S taurastrum limne t icum Stauras trum s p 1 1 Stauras trum sp 12 Tetraedron cauda tum Tetraedron gracile Tetraedron limne t i cum Te traedron lobulatum Tetraedron minimum Tetraedron mut icum Tetraedron trigonum Tetras trum s taurogeniaeforme Treubaria crassispina Volvulina s tein i i Ves tella bo tryoides Unknown 1 1 (unicellular green ) Spyrogyra sp Tetmemoris sp Oedogonium s p Unknown Unknown Unknown Unknown Unknown

Chrysophyta

Class Bacillariophyceae (Diatoms)

057 0 1 057 02 058 0 1 059 0 1 060 0 1 06 1 0 1 062 0 1 062 02 062 03 063 0 1 064 0 1 064 02 064 03 064 04 065 0 1 066 0 1 067 0 1 068 0 1 069 0 1 070 0 1 070 02 070 03 070 04 070 05 070 06 070 07 070 08 07 1 0 1 0 7 2 0 1 073 0 1 074 0 1 074 02 074 03 074 04 074 05 074 06 075 0 1 075 02 075 03 075 04 075 05 075 06 075 07 076 0 1 076 02 076 03 076 04 076 05 076 06

Achnanthes exigua v heterovalve Achnanthes sp Amphora ovali s v l i byca Biddulphia laevi s Calonei s amphisbaena Campylodiscus sp Cocconeis dimi nu ta Cocconei s hus t ed t i i Cocconeis placentula Coscinodiscus rothii Cyclotella glomerata Cyclotella kutzi ngiana Cyclotella menghiniana Cyclotella s telligera Cylindrotheca s p Cymatopleura solea Cymbella ventricosa Denticula s p Diplonei s oblongella Fragilaria brevis t riata Fragilaria capucina Fragilaria cons truens Fragilaria cons truens v subsalina Fragi laria construens v ven ter Fragilaria cro tonensi s Fragilaria pinna ta Fragilaria vaucheria Frus tul1a sp Gomphonema graci le Gyrosigma nodiferum Melosira ambigua Melosi ra granulata Melosira granulata v angus tissima fo spiralis Melosi ra granulata muzzanensis Melosira i talica Melosi ra sp Navicula accomoda Navi cula cincta Navicula cryp tocephala Navicula exigua Navi cula pupula Navi cula rhynococephala v germani i Navi cula s p Ni tzschia aci cularis Ni tzschia amphi bia Ni tzschia api culata Ni tzschia augus tata Ni tzschia cons trl c ta Ni tzschia dissipa ta

076 07 076 08 076 09 076 10 076 1 1 076 1 2 076 1 3 076 1 4 076 1 5 076 1 6 076 1 7 077 0 1 078 0 1 079 01 080 01 08 1 01 082 01 083 01 083 02 084 01 085 01 085 02 086 01 087 01 088 01 089 01 090 01 09 1 01 092 01 093 0 1 094 0 1 095 0 1 096 0 1 097 01 098 01 099 01 100 01

Ni tzschia fili formis Nitzschia frus tulum Ni t zschia holos t ica Ni tzschia hungarica Ni tzschia lanceolata v minima Ni tzschia linearis Ni tzschia lorenziana Nitzschia paradoxa Nitzschia punc tuata v coarctata Nitzschia trybilionella v victoriae Ni tzschia sp Opephora mar tyi Pinnularia maior Pleurosigma salinarium v boyeri Rhopalodia gibba Skeletonema Cos tatum Stauroneis s p Stephanodiscus as trae v minutula Stephanodiscus invisi tatus Surirella robusta v splendida Synedra actinas tro ides Synedra ulna Tabellaria sp Tetracyclus lacus tris Thalassios i ra sp Buno tia 1 s p Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Other Chrysophycea

185 01 186 01

Dinobryon sp Synura s p

Cyanophyta (Blue-green Algae)

101 0 1 102 0 1 102 02 102 03 103 0 1 104 0 1 105 0 1 105 02 106 0 1 106 02 107 0 1 108 0 1 109 0 1 109 02 1 10 0 1 I I I 0 1 I I I 02 1 12 01 1 13 0 1 1 13 02 1 14 01 1 15 01 1 15 02 1 15 03 1 15 04 1 1 6 01 1 16 02 1 16 03 1 1 7 0 1 1 18 0 1 1 18 02 1 18 03 1 19 01 120 0 1 1 2 0 02 1 20 03 1 2 1 01 122 01 1 23 0 1 1 23 02 1 24 0 1 1 24 02 1 24 03 1 25 0 1 1 2 6 0 1 127 0 1 128 0 1 1 29 0 1 130 0 1 1 3 1 0 1 1 32 0 1 133 0 1

Agmenellum quadruplicatum Anabaena bornet i ana Anabaena sphaerica Anabaena spiroides Anacyst i s s p (Gloeo thece) Aphanizomenon flos -aquae Aphanocapsa delicatiss ima Aphanocapsa pulchra Aphano thece s tagnina Aphano thece pras ina Arthrospira gomontiana Aulosi ra infuxa Chroococcus planctonica Chroococcus turgidus Coccochloris s p Coelosphaerium naegelianum Coelosphaerium s p Eucapsis alpina Gomphosphaeria aponina Gamphosphaeria lacus tris Bolopedium i rregulare Lyngbya contorta Lyngbya limne t ica Lyngbya tenuis Lyngbya sp Herismopedia elegans Herismopedia glauca Herismopedia punctata H icrocoleus lyngbyaceus Hicrocys tis aeruginosa Hicrocys tis flos -aquae Hicrocys t i s incerta Nodularia spumigena Oscillatoria tenuis Oscillatoria terebriformis Osci llatoria sp Phormidium autumnale Raphidiops i s curvata Schlzo thrix calciola Schlzothrix sp Spirulina laxissima Spi rulina subsalsa Splrul1na sp Glaucocys tis sp Anabaenopsls sp Nos toc sp Unknown Unknown Unknown Unknown Unknown Unknown

1 34 0 1 1 35 01 136 0 1 1 37 01 1 38 0 1 1 39 0 1

Unknown Unknown Unknown Unknown Unknown Unknown

Buglenophy ta

140 0 1 1 4 1 0 1 141 02 141 03 141 04 141 05 141 06 141 07 141 08 141 09 141 1 0 1 4 1 1 1 141 1 2 1 4 2 0 1 142 02 143 0 1 144 0 1 144 02 144 03 144 04 1 44 05 144 06 144 07 145 01 145 02 145 03 145 04 146 0 1 1 46 02 1 46 03 148 0 1 149 01 150 0 1 1 5 1 0 1 1 52 0 1 153 01 154 0 1 155 0 1

As tasia klebesi i Euglena acus Euglena deses Euglena gracilis Euglena hematodes

-Euglena minuta Euglena oxyuris Euglena polymorpha Euglena spiroides Euglena subehrenbergi i Euglena t ripteris Euglena viridis Euglena s p Lepocinclis ovum Lepocinclis texta Petalomonas sp Phacus curvicauda Phacus longicauda Phacus pleuronectes Phacus pyrum Phacus tor ta Phacus triqueter Phacus sp St rombomonas giardiana S t rombomonas giardiana v glabra S trombomonas tambovika S trombomonas sp Trachelomonas crebea Trachelomonas cylindrica Trachelomonas volvocina Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Pyrrhophyta

Class Cryptophyceae

156 0 1 157 0 1 158 0 1 158 02 158 03 158 04 159 0 1 160 0 1 160 02 161 0 1 162 0 1 163 0 1 164 0 1 165 0 1 166 0 1 167 0 1 168 0 1 169 0 1

Chilomonas paramecium Chroomonas acuta Cryptomonas erosa Cryptomonas marssoni Cryp tomonas ovata Cryp tomonas s p Billea sp Rhodomonas lucus tris Rhodomonas sp Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Class Dinophyceae (dinoflagellates )

1 70 0 1 1 70 02 1 7 1 0 1 172 0 1 1 73 0 1 1 74 0 1 1 74 02 1 75 0 1 175 02 1 75 03 175 04 176 0 1 177 0 1 178 0 1 179 0 1 180 0 1 181 0 1 182 0 1 183 0 1 184 0 1

Cerat ium brachyceros Cerat ium hirundinella fa furcoides Diplopsali s lent icula + Glenodinium gymnodinium Gonyaulax sp Gymnodinium aeruginosum Gymnodinium neglectum Peridinium inconspicuum Peridinium umbonatum Peridinium viscons inense Peridinium sp Prorocentrum micans Dinoflagellate cys ts Unknown Dino 1 Unknown Dino 2 Unknown Unknown Unknown Unknown Unknown

+ may be Peridiniopsis acuta

Denotes Genus Comput er Codes Denotes Species Computer Codes

Tentat ive Iden t i f ications

TABLE 55

bull

D I V E R S IT Y

ielou lise di versi ty (H ) bull

-1 I t l oge t

ielou 81se e evenness (J I ) bull

( -1 I 1 l oge 1 ) l og 5

Margl l ev dtversi ty bull

( - 1) log bull bull

ielou Is 10 diverst bull

-1 I 1 l agl0 1

11ou lis 10 IYlnness bull

( -1 I 1 lag l0 1 ) 10110 S

2 Sipson Di vers i ty bull 1 I 1

5 ipson Evenness bull ( 1 - I t2

) ( 1 - ( 1 5raquo

5heldon Evenness bull bull H middot I 5

H middot He t p Evenness bull ( - 1 ) I (5 - 1 )

S I M I LARITY

Mountford bull Z ( 51 + 5Z - 51Z) I ( Z I 5 1 I 5Z -

laquo 51 + 5Z (51 + 5Z - 51 Zraquo

Z Cl t ffordmiddot5tephenson bull 1 - t (lt - Zt )

Mh1ttlker PS I bull 1 - (t l l t - Z1 1 I Z )

Clnberrl Metrtc bull 1 - (t ( ) ft1 t - ftz1 1 I (n11 + nZ1 I IZ )

SIMI bull [(PI I I 21 ) I ( EPIIZ I rP2tZ)

MDrl sltl bull (2Enl 1 I n21 ) I laquo ( E( nl1 I nIl bull 1 ) I ( Nl I Nl - 1) )

+ ( [21 I 21 bull 1 ) I (2 I 2 bull 1 ) ) I 1 I 2)

nIt bull number of Indlv1dulls in sample 1 of 1th tlxa

I bull totll number of Individulls in sample 1

512 bull total nunber of tlXI tn both samples 1 and 2

51 bull umber of tXI t n sample 1

Pt bull percent t th taxa represents of the totll sle (nt )

p bull geome t r i c me an

DISTRIBUTION OF MAJOR TAXONOMIC GROUPS BY DATE AND STATION

1$ $ $I GREEN AUlAE STATION

emggg DIATOMS

FIGURE 5 1

DINOFLAGELLATES __ BLUE-GREEN AL8AE

FIGURE 5 6

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVBBN THE CONTROL AND EXPERIMENTAL SITES ON 17 SEPTEMBER 1 987

E C

E C

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 0 000 150000 0 002583333

3 2 45666667 3 2 44666667 F Value

0 058 Prob gt F

0 82 1 4

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

Mean Score

1 1 0 10 5000000 2 29128785 3 66666667 10 0 10 5000000 2 29 1 28785 3 33333333

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inui ty Correction of 5 )

S- 1 1 0000 z- o

T-Tes t approx Signi f i cance -

Prob gt I Z I - 0 9999

0 9999

Kruskal-Vallis Tes t (Chi -Square Approxima tion ) CBISQ= 0 04762 DP= 1 Prob gt CBISQ= 0 8273

FIGURE 5 6 (cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analys is of Variance

SURFACE

N Mean Among KS Vi thin KS 0 0 1 1 266667 0 1 23066667

E C

3 2 59000000 3 2 50333333 P Value

0 092 Prob gt P

0 7773

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

S td Dev Under BO

1 2 0 10 5000000 2 29 128785 9 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

s- 1 2 0000 z- 0 436436

T-Tes t approx Significance -

Prob gt I Z I - 0 6625

0 6807

Rruskal-Vallis Tes t (Ch i -Square Approxima t ion) CBISO- 0 42857 DP- 1 Prob gt CBISO= 0 5 127

Hean Score

4 0 3 0

PIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BBTVIEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SBPTBHBBR 1987

E C

E C

Analysis of Variance

N Hean Among HS Vi tbin HS 0 0 15000000 0 040433333

3 2 35333333 3 2 45333333 P Value

0 37 1 Prob gt F

0 5754

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

Hean Score

10 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 10 5000000 2 29 1 28785 3 66666667

Vilcoxon 2-Sample Tes t (Normal Approxima tion) (wi th Continui ty Correction of 5 )

S - 10 0000 z- o

T-Test approx Signif i cance -

Prob gt I Z I - 0 9999

0 9999

lruskal-Vallis Tes t (Cbi -Square Approximation ) CBISQ- 0 04762 DF- 1 Prob gt CHISQ- 0 8273

FIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1988

Analys is of Variance

N Mean Among MS Vi thin MS 0 0160 1 6667 0 269783333

E C

3 2 8 1 333333 3 2 9 1 666667 F Value

0 059 Prob gt F

0 8 1 95

E C

N

3 3

Vi lcoxon Scores (Rank Sums)

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Mean Score

1 1 0 1 0 5000000 2 29 128785 3 66666667 10 0 10 5000000 2 29128785 3 33333333

Vi lcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

S - 1 1 0000 z- o

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 9999

0 9999

Kruskal -Vallis Tes t (Chi -Square Approximat ion) CBISa- 0 04762 DF- 1 Prob gt CBrSQ= 0 8273

FIGURE 5 7

ORDERED C LAMBDA MATRICES

8

SEPT 1 7TH

9 1 0 7 1 1

1 2 [ 0 7 1 0 61 0 35 0 54 0 87 [

1 1 [ 0 7 1 0 73 0 60 0 77 [

7 [ 0 84 0 89 0 9 1 [

10 [ 0 72 0 76 [

9 [ 0 90 [

SEPT 30TH

8 9 7 1 2 1 1

10 [ 0 58 0 60 0 69 0 64 0 73 [

1 1 [ 0 9 1 0 91 0 93 0 95 [

12 [ 0 91 0 90 0 93 [

7 [ 0 94 0 94

[ 9 [ 0 99

[

SEPT 22ND

7 8 1 2 1 1 10

9 [ 0 48 0 58 0 37 0 43 0 64 [

10 [ 0 65 0 75 0 73 0 90 [

1 1 [ 0 55 0 54 0 64 [

12 [ 0 54 0 66

[ 8 [ 0 88

[

JAN 1 3TH

8 7 9 1 2 7 5 10

1 1 [ 0 38 0 39 0 35 0 42 0 40 0 57 [

10 [ 0 74 0 57 0 34 0 61 0 74 [

7 5 [ 0 68 0 57 0 50 0 86 [

12 [ 0 58 0 63 0 80

( 9 [ 0 37 0 53

[ 7 [ 0 65

[

VI COMMUNITY METABOLISM

V I A I NTRODUCTION

Convnun i ty metabol i sm as measured by the d i el oxygen mon i tor i ng

techn i que (Odum and Hask i n 1958 Odum and Wi l son 1962 Odum 1967 ) i s

a methodol ogy used to est imate gross system product i on by cal cul ati ng the

rate of b i o l og i cal l y med i ated oxygen c hanges i n a water col umn over a 24

hour peri od Many factors contri bute to the oxygen budget of aquat i c

systems d i ffus i on from the atmosphere photosynthes i s and resp i rat i on

rates of submerged macrophytes phytopl ankton and peri phyton benth i c

oxygen demand resp i rat i on of ani mal s i n the water col umn and BOD al l

pl ay a ro l e i n regul ati ng oxygen l evel s i n the water These factors are

i n turn regu l ated by the energy i nputs i nto the system sun l i g ht

detr i tus and d i s sol ved nutri ents

Odum ( 1 957 ) suggested that gross product i on of an ecosystem may

i nc rease l i nearly wi th i ncreas i ng l i ght i ntens i ty even thoug h the gross

product i on of an i nd i v i dual pl ant woul d exh i b i t a hyperbol i c response to

i ncreas i ng l ig ht i ntens i ty A study of Li ttl e Lake Conway ( near Orl ando)

re vea l ed that photosynthet i c effi c i ency actual l y decreased wi th

i ncreas i ng 1 ight i nten s i ty ( Fontai ne and Ewel 1981 ) Th i s same study

al so noted that the contri but i on of submerged macrophytes and assoc i ated

epi phytes probabl y accounted for seasonal peaks i n product i on s i nce

pl ankton gross product i on rema i ned essent i al l y constant throughout the

year Th i s emphas i zes the need for mu l t i pl e methods when i nvesti gat i ng

convnun i ty product i v i ty and metabol i sm

The fi rst convnun i ty metabol i sm mon i tori ng was conducted over a 2 4

hr peri od o n September 30 and October 1 1987 Measurements o f water

temperature d i s sol ved oxygen content and l i ght penetrat i on were

conducted as descr i bed bel ow Sampl i ng was concl uded wi thout any

i nc i dent and al l pl anned parameters were measured

6- 1

VI B METHODS

Convnuni ty metabol i sm was measured by the d i el oxygen mon i tori ng

techn i que (Odum and Haski n 1958 Odum and Wi l son 1962 Odum 1967 ) a

methodol ogy used to est i mate gross system product i on by cal cul at i ng the

rate of b i ol og i cal l y med i ated oxygen changes i n a water col umn over a 24

hour peri od

Convnun i ty metabol i sm measurements were made at the same stat i ons

on the same sampl i ng date as phytopl ankton pri mary product i v i ty to

prov ide as compl ete a set of overal l product i v i ty and met abol i sm val ues

as pos s i bl e Data were gathered from the three control and three

experi menta l stat i ons for the Hvdr11l a harvest mon i tori ng and used to

d i fferent i ate harvested from non middot harvested areas locat i ons of stat i ons

are i l l ustrated i n F igure 6 1 Subsequent sampl i ngs wi l l enabl e seasonal

vari at i ons of convnun i ty met abol i sm to be asses sed

As requ i red surface ( 0 2 ) and bottom (0 8 of total depth )

measurements of d i ssol ved oxygen and temperature were made at al l s i x

stat i ons over a 24 hour per iod I n add i t i on a nearl y compl ete set of

data was col l ected for mid depth ( 50 of stat i on depth ) The add i t i onal

data prov i de a more compl ete perspect i ve of commun i ty metabol i sm

funct i ons Rates for gross and net pri mary product i on and resp i rat i on

were then cal cul ated Rates of oxygen change were cal cul ated for each

stat i on and depth over the 24 middothr mon i tori ng peri od To a l l ow the

detect i on of any vert i ca 1 d i fferences i n the water col umn O i e 1 net

product i on for each stat i on an depth was determi ned by summat i on of

oxygen change val ues over the 24 middothr peri od Dayt i me net product i on ( P

net ) was cal cul ated by sunvnat i on of oxygen concentrat i on changes between

sunri se and sunset Net n i ght t i me respi rat i on ( R n i ght ) was cal cul ated

by sunvnat i on of oxygen concentrat i on changes between sunset and sunri se

An est i mate of gross pri mary product i on ( P gross ) was then cal cul ated

from the equat i on

dayl ight hours [ Rn ight x n ight hours ]

6 middot 2

An est i mate of res p i rati on for a 24-hrs per i od can be made by the

equat i on

( 24- hr ) hours of ni ght

The same est i mates of gross product i on and res p i rat i on were used to y i e l d

est i mates o f metabol i sm per un i t area o f water col umn by cal cul at i ng

d i el changes i n total oxygen content of the water col umn at a stat i on per

square meter

Normal sol ar i n sol at i on was recorded by a pyrhel i ometer pl aced at

the harvester offl oad ramp By i ntegrat i on of the area under the

i n sol at i on traces val ues for total Kcalm2day of avai l abl e energy were

determ i ned In add i t i on to measuri ng total i n sol at i on Li Cor i n s i tu

photometer read i ngs were made duri ng dayl ight hours at each stati ondepth

to determi ne the amount of energy avai l abl e i n the photosyntheti cal ly

act i ve wave l ength s The ext i nct i on coeffi ci ent of l i ght for each

stat i on was cal cul ated by the equati on

E - ( I n l dl s ) -d

where l d - l i ght at depth (d) l s bull l i ght at surface and d depth of

read i ng

VI C I NTER IM RESULTS

Tabl e 6 1 l i sts the data for temperature and d i s sol ved oxygen as

wel l as the hourly changes i n val ues over the 24-hr record i ng peri od

For the date of sampl i ngs the 1987 NOAA sunri sesunset tabl es g i ve

sunri se at 0651 hrs and sunset as 1850 hrs ( standard t i me) or 1 1 hrs 59

m i n utes o f dayl i ght and 12 hrs 1 mi nute of darkness For purposes of

cal cul at i ons dayl i ght vs darkness are therefore cons idered equ i val ent

Tabl e 6 2 l i sts the val ues obtai ned for i nc i dent sunl i ght (deck un i t ) and

l i ght penetrati on at the surface 0 5m and 1 0m depths Un i t s are mi croshy

e i nste i nsm2sec Sol ar i nsol ati on for September 30 October 1 and a

port i on of October 2 are shown as chart record s i n F igure 6 2

Cons i derabl e cl oud i ness for these three days i s ev i denced by the

traci ng s L i ght penetrat i on i nto the water col umn i s represented by data

6-3

i n Tabl e 6 3 Val ues for surface l i ght ( approximate ly 2 cm bel ow

surface) and l i ght at 0 5 m and 1 0 m were recorded The percentage of

avai l abl e surface l i ght and the ext i nct i on coeffi c i ents for 0 5 m and

1 0 m were al so cal cul ated Val ues for percentage l i ght penetrat i on and

ext i nct i on coeffi c i ents were qui te vari abl e but general l y there was much

l ess l i ght penetrat i on to the 0 5m and 1 0m l evel s at the vegetated

stat i ons refl ect i ng the Hvdri 1 1 a coverage L i ght l evel s at these

stat i ons too were vari abl e depend i ng on the rel at i ve th i ckness of the

Hydri 1 1 a mat

There was a l arge amount of vari at i on i n d i ssol ved oxygen val ues

over the course of the 24-hr data col l ect i on peri od Surface and bottom

00 val ues are graph i cal ly represented for each stati on i n F i gures 6 3

and 6 4 F i gure 6 5 exh i b i t s the overal l trends for the harvested vs

vegetated stat i ons for surface d i ssol ved oxygen val ues averaged for al l

three stat i ons of each transect Al l stat i ons fol l owed the same typi cal

trend of r i s i ng 00 val ues for dayl i ght hours peaki ng i n l ate afternoon

and fal l i ng val ues after sun set Thi s trend i s al so seen i n Tabl e 6 4

wh i ch represents the percent saturati on for surface mi d and bottom

depths Aga i n the general trend i s for greatest l evel of percent

saturat i on to occur dur i ng afternoon hours and l owest percentages dur i ng

the early pre-dawn hours The most notab1 e d i fferences occurred for

bottom 00 val ues at Stati on 12 wh i ch appeared to be much l ower overal l

D i ver observat i ons made on December 1 1 1 987 reveal ed that thi s stat i on

has a th i ck l ayer (+0 3m) of very fi ne sed i ments The water- sed iment

boundary was very d i ffi cu1 t to l ocate due to the f1 occu1 ent nature of

t h i s sed i ment It seems probabl e that the very l ow val ues obtai ned at

t i mes at Stati on 12 were probabl y the resu l t of part i al l y l oweri ng the

probe i nto thi s turb i d i ty l ayer

Tabl e 6 5 presents the daytl me net product i on and net n i ght t i me

resp i rat i on as the sum of changes i n oxygen val ues during dayl i ght

( produc t i on ) and n i ght t i me (respi rat i on ) Product i on val ues ranged from

- 0 3 ppm ( Stati on 7 mid depth) to 1 2 0 ppm 02 product i on ( Stat i on 1 1

surface ) Overal l the control stati ons exh i b i ted greater product i vi ty

wi th a mean val ue of 4 4 ppm 02 product i on compared to 2 8 ppm for the

harvested transect For i nd i vi dual compar i sons between harvested and

6-4

comparabl e control 7 of the n i ne comb i nat i ons (3 stat i on pai rs x 3

depths ) exh i bi ted greater val ues for the control s i tes Thi s d i fference

i n product i v i ty i s expected s i nce the Hydri l l a was removed from Stat i ons

7 8 and 9 For net n i ght res p i rat i on Stat i on 1 1 exh i b i ted the

greatest oxygen demand ( -4 4 ppm 02) and Stat i on 12 the l owest demand

( - 1 4 ppm 02 ) However th i s i ncl udes an anomal ous val ue for the bottom

l ocat i on of Stat i on 12 (+1 8 ppm 02 ) For al l but three compari sons

( Stat i ons 7 and 10) control stat i ons exh i bi ted a greater resp i rat i on

demand than the harvested stati ons The trend of reduced resp i rati on at

harvested stati ons woul d be expected due to weed removal

Tabl e 6 6 l i sts the d i el net product i on val ues for each stat i on

for the 24-hr moni tori ng peri od Only one stat i on ( 7 ) exh i b i ted a

negat i ve net product i on val ue as an average for the total water col umn

Th i s i nd i cates a net consumpti on of oxygen over what i s produced by the

photosynthet i c act i v i ty Whi l e there appear to be d i fferences between

stations and overal l transect val ues these were not stat i s t i cal l y

s i gn i fi cant when tested wi th a I -way ANOVA Est i mates of gross primary

product i on are i l l ustrated i n Tabl e 6 7 For the harvested transect

val ues ranged from -7 3 at mi d-depth of Stat i on 7 to 1 2 at the surface

of Stati on 9 For the control transect val ues ranged from -2 8 (mi dshy

depth Stat i on 1 1 ) to 2 3 at Stat i on 12 The val ues for Stat i on 12 need

to be vi ewed wi th caut i on due to the nature of the fi ne sed i ments at thi s

stat i on as prev i ously stated Overal l Stat i on 7 exh i bi ted the l owest

product i v i ty (x bull -4 7 ) fol l owed by Stat i ons 8 (x bull - 1 9) 1 1 (x bull - 1 7 )

10 ( X bull -0 2 ) 1 2 ( X bull 0 2 ) and 9 (X bull 0 6 ) Whi l e the harvest transect

stati ons exh i bi ted l ower overal l pri mary producti on val ues there was no

s i gn i fi cant d i fference between the control vs harvest transects

Tabl e 6 8 presents esti mates of total resp i rati on for a 24-hr

per i od for each stati on Val ues ranged from - 1 2 0 for the surface of

Stat i on 1 1 to -3 2 for surface and middl e val ues of Stati on 7 The

pos i t i ve 3 6 val ue for the bottom of Stat i on 12 i s an anomal y due to the

nature of sed i ments at th i s stati on Data for Stati on 12 wi l l be

reval u ated to determi ne i f appropri ate correct i ons can be mad e There

were no stati st i cal l y s i gn i fi cant d i fferences between val ues of control

versus harvest transects

6 -5

Vl tO t FINAL REPORT ANALYSES

Data anal ys i s for the i nter im report has not been exten s i ve s i nce

onl y data from one event has been eval uated A second mon i tor i ng was

conducted on January 13 and 1 4 1988 for wh i ch data reduct i on i s not yet

compl eted There i s some i nd i cat i on that there may be a d i fference i n

the parameters measured for the SeptemberOctober sampl i ng between the

control and harvest transects These d i fferences were not stat i st i cal l y

detectabl e based upon anal yses o f the fi rst data set Prel i mi nary rev i ew

of data generated by the January sampl i ng i nd i cate fewer d i fferences

between stat i ons than were found i n SeptemberOctober Subsequent

sampl i ngs may enhance the poss i bi l i ty of detect i ng l ow l evel d i fferences

between control and harvest stat i ons i f such d i fferences actual ly occur

Hvdri l l a regrowth was very rapi d w ith i n the harvest transect As

a resul t of th i s rap id return to basel i ne cond i t i ons i t i s unl i ke1 y

that Quarter I I I and IV cORlllun i ty metabo 1 i sm measurements wi 1 1

d i fferent i ate between control versus harvested stat i ons Thus the

harvest i ng i mpacts on commun i ty metabol i sm appear to be most pronounced

i mmed i ate ly after harvest The fi rst quarterl y col l ect i on showed a l arge

vari ance i n data that i s poss i bl y maski ng d i fferences between harvest and

control stati ons The sampl i ng strategy for the th i rd and fourth

sampl i ngs cou ld be restructured to repl i cate the cond i t i ons of Quarters I

and I I Th i s wou ld prov i de a second set of data to prov i de i nformat i on

on max i mum i mpact for a d i fferent harvest season Seasonal growth

di fferences of Hydri 1 1 a and the Okeechobee peri phyton commun i ty can be

expected to resul t i n seasonal patterns of commun i ty metabol i sm Th i s

wou ld entai l a reharvest of the experi mental transect

As ment i oned i n the resul t s the data from Stat i on 1 2 were qu i te

d i fferent from al l other stat i ons due to the very organ i c substratum

For the fi nal report Stat i on 1 2 data wi l l be del eted and the data set

reanal yzed In add i t i on anal ys i s of pa i red stati on combi nati ons (e g

7 - 10 8 - 1 1 9 - 1 2 ) may enabl e a more prec i se d i fferent i at i on of

d i fferences between control versus harvested stati ons

6-6

LITERATURE CITED

Fonta i ne 1 0 I I I and K C Ewel 1981 Metabol i sm of a Fl ori da USA l ake ecosystem L i mnol Oceanog 26 (4 ) 754 - 763

Lewi s F G I I I and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 16-124

Odum H T 1957 Troph i c structure and product i v i ty of S i l ver Spri ngs Fl ori da Ecol Monographs 27 55- 1 1 2

Odum H T 1967 B i ol og i cal c i rcu i ts and the mari ne ecosystems of Texas p 99 - 157 In I A Ol son and F J Burgess ( eds ) Pol l ut i on and Mari ne Ecol ogy W i l ey I ntersc i ence Publ NY

Odum H T and C M Haski n 1958 Comparat i ve stud i es on the metabol i sm of mar ine waters Publ Inst Mar Sci Texas 5 16-46

Odum H T and R F Wl l son 1962 Further stud i es on reaerat i on and metabol i sm of Texas bays 1958- 1960 Publ Inst Mar Sci Un i v Texas 8 23 - 55

6 -7

Table 11 NOUly trature and di solved oxygen values for th central atat lona ( 10 1 1 12) m three N)dri Ua harvested atat fona at

the Lake Okeechobee study ai te

Irature

Run Statl an I i SUrface Mid BottOM

1

2

3

4

5

6

7

8

9

10

1 1

1 2

13

14

1 5

1 6

1 7

18

19

20

21

22

21

24

2

3

4

5

6

7 1340

7 1 505

7 1608

7 1108

7 1800

7 1908

7 2008

7 2105

7 2200

7 2300

7 2346

7 0049

7 0220

7 0113

7 0412

7 0500

7 0600

7 0700

7 0823

7 0906

7 1 005

7 1 105

7 1 21 3

7 1310

8 1 353

8 1 522

8 1627

8

8 827

8 1934

279 280

28 0 28 2

28 1 28 1

280 280

279 279

280 280

280 280

279 279

275 275

27 5 275

272 272

275 27 5

27 5 273

273 273

270 270

270 270

265 270

26 5 26 5

265

265

265 26 5

270 27 0

275 267

273

277 270

280 280

28 1 28 1

28 0 280

279 279

279 279

280

28 2

28 1

280

279

280

28 0

279

275

27 5

27 2

275

273

27 3

270

270

268

26 5

26 5

265

26 5

26 7

26 7

267

278

28 0

28 1

280

279

279

lenperature 01

SUrface Mid Iottca

DiAOlved OXygen Chle I n Oxygen

Surface Mid IottCIII SUrface M id BottOM

1 2

1 1 - 1

- 1 - 1

1 1

o 0

- 1 - 1

- 4 4

o 0

3 - 3

3 3

o - 2

- 2 0

- 3 - 3

o 0

5 0

8 70 750

2 D 695 680

- 1 A 790 770

- 1 Y 830 740

- 1 720 720

1 720 7 1 0

o 6 70 600

- bull 590 600

- 4 I 7 50 740

o G 660 6 60

- 3 H 700 6 30

3 I 840 820

2 860 930

o 480 4 80

3 430 4 10

o 4 70 460

2 3 70 3 15

o - 5 middot 3 320 3 1 0

3 50 o o o

5 5

5 - 3

2

3

1

- 1

1

1

- 1

- 1 - 1

o 0

o o D 5 40

o A 4 70 4 65

2 Y 630 6 20

o 1 1 00 5 30

o 8 30

590 5 90

2 D 690 680

1 A 7 30 730

- 1 Y 700 7 10

- 1 N 700 730

o 680 6 70

400

615 - 1 75 - 70 275

620 95 90 - 55

640 40 30 20

700 - 1 10 - 20 60

660 00 - 10 - 40

600 - 50 - 1 1 0 - 60

600 - 80 00 00

7 00 1 60 1 40 1 00

650 - 90 - 80 - 50

5 70 40 - 30 - 80

770 1 40 1 90 200

9 0 20 1 10 1 40

480 -380 -450 -430

480 - 50 - 70 00

450 40 50 - 30

3 75 - 1 00 - 85 - 75

320 - 50 - 65 - 55

330 30

460 1 90

430 - 70

500 1 60

340 4 70

4 30 2 70

580 -050

680 1 00

730 40

7 10 bull bull 30

10

1 30

- 30

1 55 70

- 90 - 1 60

90

SO -050

90 1 00

50 50

- 20 - 20

730 00 20 20

6SO - 20 - 60 - 80

Tabl e 11 cont inued

TeIIpeIt Tenpert Ch Run St t i on T i 5 fc Mid lottGl Surfac Mid Botta 5 fce Mid BottGl SUrfac M id lottGl

7

8

9

1 0

1 1

12

11

14

15

16

17

18

19

20

21

22 21

24

1

2

1

4

5

6

7

8

9

1 0

1 1

12

8 2024

8 2124

8 2214

8 211]

8 2402

8 0108

8 0304

8 0346

8 0426

8 05 1 7

8 0612

8 0720

8 0835

8 0920

8 1020

8 1 125

8 1 232

8 1121

9 1409

9 1519

9

9 1 742

9 1848

9 1951

9 2040

9 2142

9 2230

9 2127

9 2420

9 0127

280 278

27 5 275

27 5 275

275 275

272 272

270 270

27 0 270

27 0 270

265 270

265 27 0

26 1 265

26 1 265

265

261 26 1

26 5 265

26 7 26 7

270 270

271

270 272

275 275

276 276

272 272

275 275

27 5 275

27 5 275

270 270

270 270

270 27 0

27 0 270

270 270

278

275

275

275

272

27 0

270

270

270

270

26 5

265

265

261

265

26 7

270

271

270

275

276

272

275

275

275

27 0

27 0

27 0

270

27 0

1 - 1

- 5 - 1

o 0

o 0

- 1 - 1

2 - 2

o 0

o 0

- 5 0

o 0

- 2

o 2

2

2

2

1

1

- 5

o

2

2

1

-1 G 650 640

1 bull 5 80 5 80

o T 6 00 5 90

o 8 00 710

- 1 M 700 6 00

- 2 I 740 750

o G 550 5 50

o 4 60 5 00

o T 4 50 4 40

o 5 00 480

- 5 4 40 4 80

o 1 70 2 80

o D 2 90

- 2 A 2 40 2 40

2 Y 495 4 85

2 5 90 5 70

1 570 5 40

1 640

- 1 - 1 4 20 4 10

5 1 5 D 6 25 575

1 1 1 A 690 670

- 4 - 4 - 4 Y 5 20 5 30

1 1

o 0

o 0

- 5 - 5

o 0

o 0

o 0

o 0

1 5 50 5 10

o bull 6 50 620

o I 6 50 630

- 5 G 7 50 760

o 670 660

o T 5 50 5 70

o 700 1 80

o 9 00 870

630 - 30 - 30 - 20

580 - 70 - 60 - 50

5 70 20 10 - 10

600 200 1 40 10

590 - 1 00 - 1 30 - 1 0

590 40 1 50 00

5 20 - 1 90 - 2 00 - 70

5 00 - 90 - 50 20

4 30 - 1 0 - 60 - 70

480 50 40 50

4 10

2 60

2 80

2 15

485

5 50

5 40

630

- M 00 - 70

- 70 -200 - 1 50

- 80 20

- 50 - 45

2 55 2 45 2 50

95 85 65

- 20 - 30 - 1 0

70 90

410 -2 20 -2 20

5 80 2 05 1 65 1 70

690 65 95 1 10

5 20 - 1 70 - 1 40 - 1 70

5 40 30 00 20

6 10 1 00 90 70

600 00 10 - 1 0

760 1 00 1 30 1 60

640 - 80 - 1 00 - 1 20

4 60 1 20 - 90 - 1 80

680 1 50 - 1 90 2 20

850 2 00 490 1 70

Table 1 1 cont inued

Tenperature

Run Stat i on T ime Surface Mid Botta

13

1 4

1 5

1 6

1 7

1 8

1 9

20

21

22

23

24

1

2

3

4

5

6

7

8

9

1 0

1 1

1 2

1 3

1 4

15

1 6

1 7

9 0318

9 0358

9 0439

9 0535

9 0624

9 0742

9 0850

9 0926

9 1 036

9 1 145

9 1 251

9 1 ]40

10 1419

10 1514

1 0 1618

10 1 716

1 0 1 81 5

10 1 92 1

10 201 7

10 2 1 1 3

10 2207

10 2305

10 2355

10 0057

10 0247

10 Oll8

10 0418

10 0508

10 0605

268 268

265 265

263 265

265 265

26 0 263

260 263

260

26 0 260

26 3 263

265 265

270

273

278 laO

la O la O

la 1 la 1

la 28 1

laO 280

28 0 laO

28 0 278

275 275

272 275

275 27 9

275 275

27 1 27 1

270 273

265 27 0

26 5 270

270 27 0

263 265

268

265

265

26 5

263

263

260

26 0

263

265

27 0

27 0

28 0

28 0

281

28 1

28 0

28 0

278

279

27 5

280

275

27 1

273

27 0

270

27 0

26 7

Tenperature Change Surf-=e Mid Iotta

Di ssolved Oxygen Charae In OXygen

Surface Mid Botten SUrf-=e Mid BottOll

2 2

- 3 - _ 3

- 2 0

2 0

- 5 - 2

o 0

o o

3 3

2 2

5

3

2

1

o

o 1

o

- 1 - 1

o 0

o - 2

- 5 - 3

- 3 0

3 4

o - 4

4 - 4

- 1 2

- 5 - 3

o 0

- 2 bull 450 450

- 3 I 360 355

o G 3lD 360

o H 365 370

T

- 2 365 340

o 210 200

- 3 D 1 10

o A 240 2 1 0

3 Y 4 40 495

2 5 60 5 45

5 600

o 700

580 520

o D 790 790

1 A 890 730

o y 650 630

- 1 880 8 1 0

o 650 680

- 2 600 600

1 N 430 420

- 4 I 3 30 430

5 G 4 1 0 4 60

- 5 H 4 50 5 50

- 4 T 830 820

2 630 7 1 0

- 3 4 40 460

o 420 4 30

5 0 0 4 10 3 90

- 7 - 5 - 3 3 10 360

4 50 -450 -420 -4 00

395 - 90 - 95 - 55

300 - 30 05 - 95

340 35 10 40

335 00 - lD - 05

2 00 - 1 55 - 1 40 - 1 35

1 40 - 40 - 60

2 10 70 70

4 10 200 285 260

4 80 1 20

5 60 40

5 0 1 0

80

670 1 00 1 1 0

5 40

590 2 1 0 270 50

5 90 1 00 - 60 00

6 50 -2 40 - 1 00 60

6 00 2 30 1 80 - 50

620 -2 30 - 1 lD 20

5 90 - 50 - 80 - 30

4 50 - 1 70 - 1 80 - 1 40

4 00 - 1 00 10 - 50

4 20 80 lD 20

4 80 40 90 60

8 10 3 80 2 70 330

730 -200 - 1 10 - 80

4 55 - 1 90 -250 -2 75

440 - 20 - 30 - 1 5

3 95 - 1 0 - 40 - 45

3 60 - 40 - _30 - 35

Table 81 cont inued

Teaprature Teaperature QUI D f ssol ved IlXWen Chqe In Oxygen Ral Stat i on T i_ Surface Mfd BoU_ SUrface M i d IIOtt_ Surface Mid Batt_ SUrface Mid Bott_

11

1 9

20

21

22

23

24

2

3

4

5

6

7

I 9

1 0

1 1

1 2

1 3

1 4

1 5

16

1 7

1 1

1 9

20

21

22

23

1 0 0712

10 0821

10 0912

10 1 01 0

10 1 11 2

10 1 Z20

10 1 316

1 1 1455

11 1521

11 1641

11 1 732

11 18lO

1 1 1938

1 1 2029

1 1 2130

1 1 2Z20

1 1 2311

1 1 2408

1 1 0116

1 1 0310

11 0350

1 1 0430

1 1 0524

1 1 0617

1 1 0729

084 1

1 1 0926

1 1 1026

11 1 131

11 1238

263 265

263

265 265

265 265

273 26 5

285 270

277

271 271

280 271

280 280

280 280

275 280

275 275

275 275

275 271

275 275

272 275

270 27 1

270 27 0

261 270

261 270

270 270

260 265

260 263

263 265

263

263 263

265 265

280 270

293 273

26 7

26 5

26 5

26 5

26 5

270

26 7

271

271

210

210

21 0

275

27 5

271

275

27 2

27 1

270

270

270

270

26 7

26 5

26 5

26 5

263

26 5

26 7

270

o o

2

o 1

1 2

- 1

o

o o

5

o 390

- 2 D 4 75

o A 5 15

o y 640

o 900

5 1 1 00

- 3 1040

390

4 80

3 80

4 30

5 80

1 1 1 1 00 520

2 0 0 D 150 600

o 2 2 A 160 5 70

o 0 0 Y 900 660

-5 0 0 650 680

o - 5 - 5 660 630

o 0 0 5 50 5 80

o 3 3 M 560 550

o 3 - 3 I 5 10 5 00

middot 3 0 - 3 G 5 90 5 50

- 2 - 4 - 1 H 620 5 90

o - 1 - 1 T 710 690

- 2 0 0

0 0 0

2 0 0

- 1 5 - 3

4 20 430

3 75 3 70

360 350

3 00 295

o 3

o o

2

1 5

1 3

2

2

2

5

3

- 2 280

o 4 1 0

o 5 85

- 2 D 650

2 A 720

2 Y 1360

3 1 540

2 70

4 1 0

5 40

5 70

100

740

410

4 00

4 1 0

290

360

4 10

290

20 30 50

15 - 1 0

40 1 0

1 25 - 1 00 -1 20

2 60 50 70

200 1 50 1 1 0

- 60 -1 80

525 -240 235

6 00 50 80 75

500 1 0 - 30 -1 00

650 40 90 1 50

660 -250 20 1 0

600 1 0 - 50 60

560 - 1 1 0 - 50 - 40

5 50 1 0 - 30 - 10

490 - 50 - 50 - 60

410 80 50 - 20

600 30 40 1 30

640 _90 1 00 40

4 40 -290 -260 -200

400 - _45 - 60 - 40

3 50 - 1 5 - 20 - 50

300 - 60 - 55 - 50

3 00

4 25

5 15

495

480

680

610

- 20

1 30

1 75

65

70

640

1 80

- 25

1 40

30

230

- 60

00

1 25

90

- 20

- 15

200

- 1 0

Table e 1 cont l nuacl

leaperature leaptrature Change

Rill Statten I I Surface Mfd lottca SUrface Mid Bottca surface Mid Bottca SUrface Mid Bottca

24

1

2

]

4

5

6

7

8

9

10

1 1

1 2

1 ]

14

15

16

17

18

19

20

21

22

2]

24

1 1 1329

12 1 4]]

12 1546

12 1 655

1 2 1 752

1 2 1857

12 1 957

12 2045

12 2141

1 2 2214

12 2]]]

12 2426

12 0133

12 0122

12 0401

1 2 044]

12 0542

12 0629

12 0746

12 855

12 941

12 1 045

12 1 150

12 1255

12 1 344

29]

27] 275

27 5 271

276 275

272 275

275 275

270 270

27 1 275

270 272

275 275

270 27 0

270 270

270 27 0

265 265

26 ] 265

26 ] 26 5

26 5 26 5

260 26 ]

26 ]

260

26 0 260

26 7 26 ]

27] 26 ]

277

29 0

270

275

275

275

27 1

275

27 0

27 1

270

270

27 0

27 0

270

261

26 5

26 7

265

265

26]

260

26 0

26]

26]

26 5

27]

o

2 ]

o 1 4 00

4 50 220

o D 6 SO 5 60

1 - ] 0 A 100 4 50

- 4 0 - 4 5 10 4 90

] 0

5 - 5

1 5

- 1 ]

5 ]

5 - 5

o 0

o 0

- 5 5

- 2 0

o 0

2 0

- 5 2

]

- ]

o 7 ]

6 0

4

1 ]

4 4 60 440

5 4 80 4 70

1 450 5 00

1 II 790 690

o I ]90 ]90

o G 620 5 20

o N 580 5 50

o I 730 750

- 2 4 10 400

-] ]60 ] 55

2 260 2 70

2 2]5 2 ]0

o 280 2 50

2 1 10

] D 1 60

o A 1 60 1 ]0

] 690 220

o 920 ] 60

2 630

8 1 0 00

640 1 40 - ]0

1 90

4 1 0 200 ] 40 220

400 1 50 1 10 - 1 0

40 -2]0 40 middot]60

440 -1 10 - 50 400

480 20 30 40

10 - ]0 30 - 4 1 0

]20 ] 40 1 90 250

]00 -400 -]00 - 20

]00 2]0 1 30 00 2 1 0 - 40 30 - 90

400 1 50 200 1 90

90 -] 20 -]50 -] 1 0

1 00 - 50 bull bull 45 1 0

240 - 1 00 - 85 1 40

220 - 25 - 40 - 20

230 45 20 1 0

07 - 1 70 -221

10 50 61

50 00 - 20

]50 5 ]0 90 ] 00

290 2 ]0 1 40 - 60

240 -290 - 50

490 ] 70 2 50

Table 12 PhotaDet ry values for surface i d and bot tca depths for a l l stat ions for the 24 hour

Rlni tori peri od of Septeri)er 30 through October 1 1981 Deck lIIi t readings are used as a

llleasure of the var i a t i on i n incident sllll f t comi t fons (Uni ts icroei nste i nssec )

Rln Stat i on

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

1

1

1

1

1

1

1

1

1

1

1

1

1

9

9

9

9

9

Time

1340

1 501

1606

1 709

1800

1906

100

823

906

1 005

1 105

1213

1310

1 341

1521

1621

1 124

1826

1932

120

835

920

1 020

1 125

1 232

1 323

1409

1 531

165 1

1 142

1846

Slbners

Deck 1 Deck 2 Deck 3 Deck 4 eel ib Surface 05 bull 1 0 bull

195

140

910

410

183

1 0 5

3 2

210

580 620

1 700

2100

410

195

660 630

310

93

o 1 5

440

410

140

1 000

2100

2100

228

500

650

190

61

201

130 1020

460

180

102

3 3

210

510

560

1800

2200

500

195

650

810

300

1 1 1

o 14

420

360

570

1200

2200

2200

234

510

640

1 70

61

201

130

1 140

400

168

93

34

o o

460 1 700

2100

o

198

640

660 310

18 o

14

o 400

1300

110

2100

o

246

530

650

160

41

201

130 1 11

440

165

81

34

230 540

790 1100

2200

550

201

610

520

320

75 o

14

560

410

110

560

2200

2200

246

520

600

141

41

189

580 61 0

290 123

9

59

160

440

450

1600

1600

350

186

510

480 200

54

o 4 2

3 1 0

300

560

650

1500

1500

231

430

430

180

55

156

450

490

210

1 1 1

96

8 1

1 30

340

360 1 1 00

100

300

1 11

420

450

168

51

o 14

210

240

320

500

1400

1200

195

350

360

140

33

54

225

144

12 39

66

18

o o

55

500

650

o

99 111

195

60

1 1 1

o 1 2

o 140

310

180

320

o

108

129

120

54

14 1

38 59

51

1 1 1

1 2 3

5 5

1 6

1 1

88

35

55

19 5 1

16

16

54

26

15

o

65

11

90

40

300

250

12

58

1 3 5

1 9

1

lIble 82 cont inued

R Sut i on

6

18

19

20

21

22

23

24

1

2

3

4

5

6

18

1 9

20

21

22

23

24

2

3

4

5

6

18

19

20

21

23

24

9

9

9

9

9

9

9

9

10

10

10

10

10

10

10

10

10

10

10

10

10

11

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

742

850

936 1038

1 145

1251

1 340

1419

1 51 3

1616

1 716

1815

1919

712

828

91 2

1010

1 1 12

1220

1 316

1455

1527

1639

1 730

1835

n9

841

926

1 026

1 238

1329

SlbIRrl

0ec1r 1 0ec1r 2 0ec1r 3 0ec1r 4 Cal l b Sw-flce 0 5 1 0 bull

o 52

280 430

1 100

520

590

2100

330

730

760

420

126

4 6

42

230

320

1600

1 100

1 200

590

750

580

780 260

60 o

20

600

280

1400

1 100

2100

o 52

280

390

1000

530

570

2100

350

740

750

400

126

41

4 1

230 280 750

1700

850

540

77D 570

720 260

60

o 20

360 220

1200

800

1900

o 0

55 57

o ]40

350 320

1000 780 680 660

o 62000 o 600

360 390

730 730 71 0 690

370 360 120 1 14

33 29

4 3 4 6

o 280

530 330

850 1400

1900 1800

1 400 1900

o 530

810 850

550 540

no 690 330 260

60 60

o 0

23 26

o 350

220 240

1500 1500

no 2000

o 700

o 42

210

310

7DO 370

420

1600

300

540

570

280 87

58

64

220

250

700

1400

800

420

550

460 660 240

54

o 19

400

230

1 100

700

1500

o 37

190

250

460 300

330

1300

270

500

410

220

81

6 7

78

90

150

150

800

280

150

420

400

550

200

28

o 13

80

130

650

500

900

o 23

o 130

150

210

o o

66 45

24

99 78

54

76

o 68

69

73

71

o

52

54

1 5

9

69

o 84

o 7 1

7

5 1

o

o 14

1 1

37

10

55

91

61

66 45

30

84

78

5 2

76

73

72

68

7

69

43

490

55

144

84

66

o 83

88

7

69

5 3

4 6

Table 12 cont lrued

SbDe

RIII Stat ion Deck 1 Deck 2 Deck 3 Deck 4 Cal l b surface 05 bull 1 0 bull

12 1433 550 570 600 650 480 420 540 52

2 12 1545 490 480 490 490 410 350 46 41

3 12 1658 400 430 430 440 4 1 0 350 105 350

4 12 1748 180 180 171 1 74 150 126 81 84

5 12 1 856 29 29 25 lJ 27 1 5 6 1 61

6 12 0 0 0 0 0 0 0 0

18 12 746 64 62 0 7l 49 27 0 7

19 1 2 155 230 230 0 290 180 1 50 0 69

20 12 941 320 300 380 360 240 180 21 7

2 1 12 1045 1 400 1400 1 200 1300 1 200 900 69 75

23 12 1255 2100 2100 0 20000 1600 710 0 4 8

24 12 1144 2100 2100 0 700 1600 1300 0 4

Table 83 Light penetration parameters SUrface light (awroximately 2an below water surface) light at o 5m anl 1 Om as well as the peJOeJ1tage of the surface value anl extintion coefficient for eadl station are represented

SUrface (0 5 Meter) (1 0 Meter) Run Time Light Light Percent Ext Q)ef Light Percent Ext Q)ef

station 7 1 1340 156 0 54 0 34 6 2 12 38 0 24 4 1 41 2 1507 4500 225 0 50 0 1 39 59 0 13 1 2 03 3 1606 490 0 144 0 29 4 2 45 57 0 11 6 2 15 4 1709 210 0 72 0 34 3 2 14 11 1 5 3 2 94 5 1800 111 0 39 0 35 1 2 09 12 3 11 1 2 20 6 1906 9 6 6 6 68 8 75 5 5 57 3 56

18 700 8 1 7 8 96 3 08 7 6 93 8 06 19 823 130 0 11 0 8 5 2 47 20 906 340 0 8 8 2 6 3 65 21 1005 360 0 55 0 15 3 3 76 35 0 9 7 2 33 22 1105 1100 0 500 0 45 5 1 58 55 0 5 0 3 00 23 1213 700 0 650 0 92 9 15 79 0 11 3 2 18 24 1310 300 0 5 1 1 7 4 07

station 8 1 1347 171 0 99 0 57 9 1 09 76 0 44 4 81 2 1521 420 0 177 0 42 1 173 76 0 18 1 1 71 3 1627 450 0 195 0 43 3 1 67 54 0 12 0 2 12 4 1724 168 0 60 0 35 7 2 06 26 0 15 5 1 87 5 1826 51 0 17 1 33 5 2 19 7 5 14 7 1 92

18 720 14 0 12 0 85 7 31 1 0 7 1 2 64 19 835 210 0 65 0 31 0 1 17 20 920 240 0 140 0 58 3 1 08 77 0 32 1 1 14 21 1020 320 0 370 0 115 6 - 29 90 0 28 1 1 27 22 1125 5000 180 0 36 0 2 04 40 0 8 0 2 53 23 1232 1400 0 320 0 22 9 2 95 300 0 21 4 1 54 24 1323 1200 0 250 0 20 8 1 57

Table 8a continued

statioo 9 1 2 3 4 5

18 19 20 21 22 23 24

statioo 10 1 2 3 4 5 6

18 19 20 21 22 23 24

surface Time Light

1409 1950 1537 350 0 1651 360 0 1742 140 0 1846 33 0

742 37 0 850 190 0 936 250 0

1038 460 0 1145 300 0 1251 330 0 1340 1300 0

1419 270 0 1513 500 0 1616 410 0 1716 220 0 1815 81 0 1919 6 7 712 7 8 828 90 0 912 150 0

1010 150 0 1112 800 0 1220 280 0 1316 150 0

(0 5 Meter) Light PeJoent EKt Qlef

108 0 55 4 1 18 129 0 36 9 2 00 120 0 33 3 2 20

54 0 38 6 1 91 14 1 42 7 1 70 23 0 62 2 95

0 130 0 52 0 1 31 150 0 32 6 2 24 210 0 70 0 71

66 0 24 4 2 82 45 0 9 0 4 82 24 0 5 9 5 68 99 0 45 0 1 60

7 8 9 6 4 68 5 4 80 6 43 7 6 97 4 05

6 8 4 5 6 19 6 9 4 6 6 16 7 3 9 9 39 7 1 2 5 7 35

( 1 0 Meter) Light Percent EKt Qlef

72 0 36 9 1 00 58 0 16 6 1 80 13 5 3 8 3 28 19 0 13 6 2 00 7 0 21 2 1 55

14 0 37 8 97 11 0 5 8 2 85 37 0 14 8 1 91 10 0 2 2 3 83 55 0 18 3 1 70 91 0 27 6 1 29 61 0 4 7 3 06

66 0 24 4 141 45 0 9 0 2 41 30 0 7 3 2 61

8 4 3 8 3 27 7 8 9 6 2 34 5 2 77 6 25 7 6 97 4 03 7 3 8 1 2 51 7 2 4 8 3 04 6 8 4 5 3 09 7 0 9 4 74 6 9 2 5 3 70 4 3 2 9 3 55

Table 83 continued

SUrface Time Light

statioo 11 1 1455 420 0 2 1527 400 0 3 1639 5500 4 1730 2000 5 1835 28 0

18 729 13 0 19 841 80 0 20 926 130 0 21 1026 6500 23 1238 500 0 24 1329 9000

statioo 12 1 1433 420 0 2 1545 350 0 3 1658 3500 4 1748 126 0 5 1856 15 0

18 746 27 0 19 855 1500 20 941 180 0 21 1045 900 0 23 1255 710 0 24 1344 13000

(0 5 Meter) Light Feroent Ext Q)ef

52 0 12 4 4 18 54 0 13 5 4 00 15 0 2 7 7 20

9 0 4 5 6 20 69 24 6 2 80 8 4 64 6 87

7 1 5 5 5 81 7 0 1 1 9 06 5 1 1 0 9 17

540 0 128 6 -50 46 0 13 1 4 06 10 5 3 0 7 01

8 1 6 4 5 49 6 1 407 1 80

21 0 11 7 4 30 6 9 8 9 74

(1 0 Meter) Light Peloent Ext Q)ef

490 0 1167 - 15 55 0 13 8 1 98 14 4 2 6 3 64

8 4 4 2 3 17 6 6 23 6 1 45 8 3 63 8 45 8 8 11 0 2 21 7 0 54 2 92 6 9 1 1 4 55 5 3 1 1 4 55 4 6 5 5 28

52 0 12 4 2 09 41 0 117 2 14

350 0 100 0 00 8 4 6 7 2 71 6 1 407 90 7 0 25 9 1 35 6 9 4 6 3 08 7 0 3 9 3 25 7 5 8 4 79 4 8 7 500 4 0 3 578

Tabl e t

Run Stat i on - - _ - - -

1 7 2 7 3 7 4 7 5 7

6 7 7 7 8 7 9 7

1 0 7 1 1 7 1 2 7 13 7 14 7 IS 7 16 7 1 7 7

1 8 7 19 7 20 7 2 1 7 22 7 23 7 24 7

1 8 2 8 3 8 4 8

5 8 6 8 7 8 8 8 9 8

1 0 8 1 1 8 1 2 8 1 3 8 14 8 1 5 8

01 sso 1 ved oxygen va 1 ues expressed as percentages of s aturat i on for each stat i on over the 24 hour mon tori ng peri od

Percent Saturati on - Di ssol ved Oxygen T i me Surface Mid Bottom

- - - - - - - - - - - - _ - - -

1340 1 1 1 25 96 1 5 1 2 1 505 89 03 87 4 86 8 1608 10 1 38 98 8 79 6 1 708 106 33 94 8 82 0 1800 92 07 92 1 89 5

1908 92 24 9 1 0 84 5 N I GHT 2008 85 83 76 9 76 9 2 1 05 75 45 76 7 76 7 2200 95 23 94 0 88 9 2300 83 80 83 8 82 5 2346 88 40 79 6 72 0 0049 106 65 1 04 1 97 8 0220 109 19 1 1 7 7 1 1 5 1 0333 60 73 60 7 60 7 04 1 2 54 1 1 5 1 6 60 4 0500 59 14 57 9 56 6 0600 46 14 47 2 47 0

0700 39 9 1 38 7 39 9 DAY 0823 43 65 4 1 2 0906 67 34 57 4 1005 58 61 58 0 53 6 1 105 79 28 78 0 62 6 1 21 3 139 67 66 3 42 6 1 3 10 1 05 01 53 8

1353 75 18 74 2 74 0 1 522 88 39 87 1 87 1 1627 93 68 93 7 93 7

89 67 9 1 0 9 1 0

1827 89 51 93 4 93 4 N I GHT 1 934 86 96 85 7 83 1 2024 83 27 8 1 7 80 4 2 1 24 73 64 73 6 73 6 22 14 76 18 74 9 72 4 231 3 101 58 92 7 76 2 2402 88 40 75 8 74 5 0 108 93 12 94 4 74 2 0304 69 21 69 2 65 4 0346 57 88 62 9 62 9 0426 56 12 55 4 54 1

Tabl e 84 cont i nued

Run Stat i on

16 8

1 7 8 18 8 1 9 8 20 8 2 1 8 22 8 23 8 24 8

1 9 2 9 3 9 4 9

5 9 6 9 7 9 8 9 9 9

10 9 1 1 9 1 2 9 13 9 14 9 1 5 9 16 9

1 7 9 18 9 1 9 9 20 9 2 1 9 22 9 23 9 24 9

1 10 2 10 3 1 0 4 10

Percent Saturati on - Di ssol ved Oxygen T i me Surface M id Bottom

051 7 62 35 60 4 60 4

06 12 54 67 59 9 51 1 0720 45 97 34 9 32 4 0835 36 16 34 9 0920 29 82 29 8 29 2 1020 6 1 73 60 5 60 5 1 1 25 73 84 71 3 68 8 1232 71 73 68 0 68 0 1323 80 97 79 7

1409 52 85 51 8 51 6 1539 79 36 73 0 73 6

87 77 85 2 87 8 1 742 65 67 66 9 65 7

1848 69 83 67 3 68 6 1953 82 53 78 7 77 5 2040 82 53 80 0 76 2 2 142 94 38 95 6 95 6 2230 84 3 1 83 1 80 5 2327 69 2 1 7 1 7 57 9 2420 88 08 47 8 85 6 0127 1 13 25 109 5 107 0 03 18 56 42 56 4 56 4 0358 44 89 44 3 49 3 0439 4 1 00 44 9 37 4 0535 45 52 46 1 42 4

0624 45 10 42 2 4 1 6 0742 25 95 24 9 24 9 0850 21 0 1 1 7 3 0926 29 66 26 0 26 0 1036 54 67 61 5 58 4 1 145 69 83 68 0 59 9 1 25 1 7 5 50 70 5 1340 88 56 84 3

14 19 74 04 66 6 69 2 1 5 14 101 20 101 2 7 5 6 1 6 18 1 14 22 93 7 75 7 1 7 16 83 42 80 8 83 4

DAY

N IGHT

DAY

Tabl e SA conti nued

Run Stat i on

5 1 0 6 10 7 1 0 8 1 0 9 1 0

1 0 1 0 1 1 1 0 1 2 10 1 3 10 14 10 1 5 1 0 1 6 1 0 1 7 1 0

1 8 1 0 19 10 20 1 0 2 1 1 0 22 10 23 1 0 24 10

1 1 1 2 1 1 3 1 1 4 1 1

5 1 1 6 1 1 7 1 1 8 1 1 9 1 1

1 0 1 1 1 1 1 1 1 2 1 1 1 3 1 1 1 4 1 1 1 5 1 1 1 6 1 1

1 7 1 1 18 1 1 19 1 1 20 1 1

Percent Saturat i on - Di ssol ved Oxygen T ime Surface Hi d Bottom

18 15 1 12 73 103 8 76 9 192 1 83 27 87 1 79 4 201 7 76 86 76 6 75 3 2 1 1 3 54 60 53 3 57 5 2207 41 68 54 6 50 8 2305 52 06 58 8 53 8 2355 57 14 69 8 60 9 0057 1 04 63 1 03 4 1 02 1 0247 79 28 89 8 92 4 0338 54 87 57 9 57 3 041 8 52 38 54 1 55 4 0508 5 1 59 49 1 49 7 0605 45 97 44 9 45 1

07 1 2 48 46 48 6 5 1 3 0828 59 02 49 9 09 1 2 64 22 59 9 5 1 1 10 10 79 8 1 47 4 36 2 1 1 12 1 13 86 53 6 44 9 1 220 142 1 7 73 0 59 1 1 3 16 132 52 36 3

1455 102 1 2 66 4 67 0 1 528 1 08 89 76 6 76 6 1641 1 10 1 7 73 0 64 1 1 732 1 1 5 29 84 5 83 3

82 53 87 1 84 5 1938 83 80 80 0 76 2 2029 69 83 73 6 7 1 1 2130 7 1 10 70 2 70 2 2220 64 75 63 5 62 2 23 18 74 51 69 8 59 4 2408 78 02 74 4 75 6 0 1 16 89 34 86 8 80 5 03 1 0 52 66 54 1 55 4 0350 47 02 46 6 50 3 0430 45 30 44 0 44 0 0524 37 07 36 8 37 5

061 7 34 60 33 5 37 4 0729 50 94 5 1 1 53 0 0841 72 69 64 2 0926 80 76 67 1 6 1 5

N IGHT

DAY

N I GHT

DAY

Tabl e SA con t i nued

Run Stati on

2 1 1 1 22 1 1 23 1 1 24 1 1

1 1 2 2 1 2 3 1 2 4 1 2

5 1 2 6 1 2 7 1 2 8 1 2 9 1 2

10 12 1 1 1 2 1 2 1 2 1 3 1 2 1 4 1 2 1 5 1 2 16 1 2

1 7 1 2 18 12 19 12 20 12 2 1 1 2 2 2 1 2 23 1 2 2 4 1 2

Percent Saturat ion - D i s sol ved Oxygen Ti me Surface Mid Bottom

1 026 89 79 7 1 1 59 9 1 13 1 174 22 1 00 7 85 1 1 238 201 84 93 6 84 3 1329 183 50 80 5

1 433 56 93 27 9 24 1 1 546 82 53 71 5 52 1

10 1 76 57 1 50 8 7 1 98 62 2 5 0

1 857 58 41 55 9 55 9 1957 60 40 59 1 60 4 2045 56 73 63 5 8 8 2 148 99 41 87 1 40 3 2234 49 52 49 5 37 8 2333 78 02 65 4 37 8 2426 72 98 69 2 26 4 0133 91 86 94 4 50 3 0322 5 1 13 49 9 1 1 3 040 1 44 73 44 3 1 2 5 0443 32 3 1 33 7 30 0 0542 29 3 1 28 7 27 4

0629 34 60 3 1 1 28 7 0746 1 3 67 9 0855 19 77 8 7 094 1 19 77 1 6 1 6 2 1045 86 36 27 3 43 5 1 150 1 16 39 44 7 36 0 1 255 80 28 29 9 1344 1 30 38 62 0

NI GHT

DAY

Table 6 5

surface

Midlle

Bottan

X

Sd

Die net production (P i = 00 CNer 24 hrl for each station expressed as parts per millim dissolved equivalent to an oxygen per m3 of water) bull

Harvest Area Olntrol Site Oerall

7 8 9 S d 10 11 12 S d S d

-0 4 0 5 2 8 0 96 1 65 4 6 6 0 1 8 4 1 2 1 2 5 2 4

-3 8 -0 1 1 3 -0 87 2 64 -0 3 0 9 2 6 1 1 1 5 0 1 2 2

0 3 0 5 2 6 1 13 1 27 -2 5 1 2 0 5 -0 3 2 0 04 1 7

-1 3 0 3 2 2 0 4 1 9 0 6 2 7 1 6

2 2 0 3 0 8 3 6 2 9 1 1

Table 6 6 Dlytime net productioo (00 sunrise to sunset) tqgt ani net night time respiratioo (00 sunset to sunrise) bottan for eadl statioo expressed as IPD productionutilization

Harvest Area CCXltrol site OVerall

7 8 9 X S d 10 11 12 S d x S d

surface 3 1 2 5 4 4 3 3 1 0 7 0 12 0 5 2 8 1 3 5 5 7 3 5

Miane -03 2 2 2 9 1 6 1 7 2 1 4 6 5 2 4 0 1 6 2 8 2 0

Bottan 3 6 2 8 4 4 3 6 0 8 0 1 4 7 -1 3 1 2 3 1 2 4 2 4

x 2 1 2 5 3 9 2 8 1 4 3 1 7 1 3 0 4 4 3 9 3 6 3 0

S d 2 1 0 3 0 9 3 6 4 2 3 8

Net Night Time Respiration

Harvest Area Cbntrol site OVerall

7 8 9 Sd 10 11 12 x Sd S d

surface -3 5 -2 0 -1 6 -2 4 1 0 -2 4 -6 0 -3 4 -3 9 1 9 -3 2 1 6

Miane -3 5 -2 3 -1 6 -2 5 1 0 -2 4 -3 7 -2 6 -2 9 07 -2 7 0 8

Bottan -3 3 -2 3 -1 8 -2 5 0 8 -2 6 -3 5 1 8 -1 4 2 8 -2 0 1 9

x -3 4 -2 2 -1 7 -2 4 0 8 -2 5 -4 4 -14 -2 8 2 0 -2 6 1 5

Sd 0 1 0 2 0 1 0 1 1 4 2 8

Table 6 7 Estimates of gross primary production () for each station

Harvest Area COntrol site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -3 9 -1 5 1 2 -1 4 2 3 2 1 0 0 -1 6 0 5 1 6 -07 2 2

Middle -7 3 -2 4 -0 3 -3 3 3 6 -2 7 -2 S 0 0 -l o S 1 6 -2 6 2 6

Bottan -3 0 -l o S O S -1 3 1 9 0 0 -2 3 2 3 0 0 2 3 -07 2 0

-x -4 7 -1 9 0 6 -2 0 2 6 -0 2 -1 7 0 2 -0 6 1 9 -1 3 2 3

S d 2 3 0 5 O S 2 4 1 5 2 0

Table 6 8 Estimates of total respiration for a 24 hem period for each amptatioo

Harvest Area Control site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -7 0 -4 0 -3 2 -4 7 2 0 -4 S -12 0 -6 S -7 9 3 7 -6 3 3 2

Middle -7 0 -4 6 -3 2 -4 9 1 9 -4 S -7 4 -5 2 -5 S 1 4 -5 4 1 6

Bottan -6 6 -4 6 -3 6 -4 9 1 5 -5 2 -7 0 3 6 -2 9 5 7 -3 9 3 4

-x -6 9 -4 4 3 3 -4 S 1 6 -4 9 -S S -2 S -5 5 4 1 -5 2 3 0

Sd 0 2 0 3 0 2 0 2 2 S 5 6

c=J H A R V E S T I N G T R A N S E C T S

11 E X F E R I M E N T A L T R A N S E C T S

A F F R O X I M A T E W E E D L I N E

I

t middot

I I I I I I I I 1 5

gt-[ 0 r- 0 Z I LU J LU deg 1 00 o a CIl I IU 0 O LU 0( W J X IJ deg I

LAKE OKEECHOBEE

o rum 9 i

-

N O R T H L A K E

S H O A L

F i g ure 6 1 Loc a t i on o f s i x s ta t i on s s amp l ed for commu n i ty meta bo l i sm

5 2 o l c nso on y L e l i cr th ud te o

D i s s o l ve d O xyg e n - S u rfa c e 1 6---------------------------------------------------------- H a rvested

Veg etated

1 2

4

0 0 0 0 0 0 0 0 0 0 0 0 N 00 I) -- N 0 0 -

Ti m e

Figure 6 3 Surface oxygen values over the 2 4 hour mon itoring period for a l l s ix mon itoring stat ions

D i s s o lv e d O xyg e n - Botto m 1 0-----------------------------------------------------------

8

6

4

2

a a a CI

a a CI a

Ti m e

a a co a

a a I) -

H a rvested

Veg etated

Figure 6 4 Bottom dissolved oxygen values over the 2 4 hour monitoring period for a l l s ix mon itor ing s tat ions

M e a n D i s s o l v e d O xyg e n 1 2--------------------------------------------------------

1 0

8

CJ1 6 E

4

2

0 0 0 0 0 0 0 0 0 0 0 r 0 N to I) - N 0 0 -

Ti m e

H a rvested

Veg etated

F igure 6 5 Mean surface d i ssolved oxygen for harvested versus control stat i ons

VII SEDIMENT CHEMI STRY

V I I A INTRODUCTION

Analyses of nutri ent content of the sed i ments of lake Okeechobee

i nd i cate that more than 35 of the phosphorus and more than 20 of the

n i trogen l oad to the l ake rema i ns wi thi n the l ake e i ther i n the

sed i ments or i n assoc i at i on wi th bi ol og i cal materi al wh i ch contri butes to

the detri tal port i on of the sed i ments Trans fer of water col umn

phosphorus to sed i ment appears to be extremely rap i d i n shal l ow areas

wi th more than 50 of amounts added to the water be i ng sequestered by

sed i ment wi th i n 10 days

Ut i l i zati on of sed i ment nutri ents has been demon strated for rooted

submerged macrophytes For phosphorus uptake by Euras i an mi 1 fo i l i n

part i cul ar sed i ment uptake i s preferent i al unt i l water col umn

concentrat i ons exceed a threshol d val ue Sed i ment chemi stri es may

demonstrate measurabl e d i fferences i n areas where Hydri l l a has been

harvested and i s act i vel y regrowi ng al though these changes i f detected

s houl d be sl i ght i n rel ati on to bul k concentrat i ons and shou l d remai n

fa i rly l oc al i zed

Basel i ne sed i ment anal ysi s i s underway to asses s the comparabi l i ty

of control and harvested areas and can resol ve questi ons about gross

vari ati on s i n substratum that coul d substant i al l y affect regrowth of

Hydri l l a The same n i ne (9 ) control stat i ons i denti fi ed i n the water

qual i ty task are be i ng sampl ed together wi th three ( 3 ) stat ions i n the

experi mental transect

V I I B METHODS

V I I I B 1 Sampl i ng

The Basel i ne and Fi rst Post Operat i onal tasks of sed i ment

chemi stry were conducted concurrentl y on November 2 1987 between 0830

and 1600 hrs Duri ng thi s sampl i ng effort there were NE wi nds of 1 5 -

7- 1

20 kts a 2 ft chop i n exposed areas ( Stat i on 13 ) and i ntermi ttent ra i n

squal l s throughout the day

Core sampl es were col l ected i n tr i pl i cate to permi t stat i st i cal

ana l yses from each of 12 stat i ons ( F i gure 7 1 ) u s i ng a boat operated

p i ston - type corer approx imately 7 6cm i n d i ameter equ i pped wi th a check

val ve to rel ease overl yi ng water and a serrated edge to penetrate the

detri tal l ayer ( F i gure 7 2 ) Maxi mum core depth was 20 -25 cm as a very

hard substratum was encountered bel ow 15-20cm of sed i ment Al l cores

penetrated to a sed i ment depth of at l east 1 5cm Us i ng a Beckman 21 i n

1i1Y meter and an i on - spec i fi c probe oxi dat i on -reduct i on potent i al was

measured through ports i n the sampl er at 2cm Scm and 1 5cm hori zon s

wh i l e the sed i ment remai ned i n the corer After measurement of redox

potent i al s the sed i ment was extruded i nto a pl ast i c tub Promi nent

hori zons were noted and any overl y i ng detr itus and rh i zomes were removed

The sed i ment above 15cm was then wel l m i xed transferred to pol yethyl ene

conta i ners and ma i ntai ned on i ce for transport to MML

VI I B 2 Anal Ys i s

A total of 36 cores were processed Total Kje ldahl n i trogen and

total phosphoru s were anal yzed from the f i el d-mo i st sampl es (ma i nta i ned

at 40C ) w i t h i n one week of col l ect i on Methods uti l i zed were from Pl umb

( 1981 ) Kjel dahl d i gest i on i n a bl ock d i gester of 0 5 -2 0g of sed i ment

was fol l owed by sampl e reconsti tut i on automated d i l ut i on and

col or i metr i c determi nat i on of ammoni a and phosphate by Techn i con

AutoAnal yzer I I The resul tant n i trogen and phosphoru s concentrati ons

were converted to a dry we i ght bas i s u s i ng percent mo i sture

determi nat i ons and d i gested sampl e we i ghts

Percent mo i sture was determi ned on al l sampl es al so accord i ng to

methods g i ven in the above reference Sampl es were dri ed at 103 - 1050C

and the dri ed mater i al empl oyed i n percent organ i cs and potass i um

anal yses Procedures for the potass i um anal ysi s are deri ved from the

AOAC Methods of Anal ys i s 13th Ed i t i on 1 980 Less than L Og of dri ed

ground sed i ment was d i gested wi th perchl ori c and hydrofl uor i c ac i ds

d i l uted and anal yzed by atom i c absorpti on

7-2

Gra i n s i ze anal yses were performed on the sed i ment fract i on and

i ncl uded dry s i ev i ng through whol e phi s i ze s i eves together wi th p i pette

anal ys i s and s i ze fract i onat i on of the ltO 063nvn materi al Gra i n s i ze

d i stri but i ons and descri pt i ve stat i st i cs (mean med i an gra i n s i ze

sort i ng skewness and kurtosi s ) were cal cul ated

VI I C INTERIM RESULTS AND DISCUSSION

Tabl es 7 1 l i sts stat i on means of sel ected parameters for sed i ment

sampl es col l ected on November 2 1987 Append i x 7A conta i n s al l

i nd i v i dual anal yt i cal resul ts Al l resul ts are on the basi s of dry

we i ghts and gra i n s i ze i n format i on i s presented i n ph i un i ts ( the

negat i ve l og base 2 of the part i cl e d i ameter i n mi l l i meters )

Measurements of oxidat i on -reduct i on potent i al ( ORP) were corrected to a

standard hydrogen el ectrode and appear i n mi l l i vol t s

Sed iments across the study s i te were remarkabl e for the

heterogenei ty between stat i on s and to onl y a sl i ght1y l esser degree

between the repl i cates at a s 1 ngl e stat i on I n phys i cal appearance

i nd i v i dual sampl es ranged from a dark organ i c and sl i ght ly gel at i nous

con s i stency ( Stat i on 1 2 ) to a grey fi ne textured cl ay s i zed materi al

(Stat i on 2 ) A shel l hash was al so observed in a d i screte l ayer bel ow 15

cm at Stat i on 1 6 Not al l stat i on s or even al l repl i cates at a stat i on

conta i ned v i s i bl e hori zons Root fragment s were present i n many core

sect i on s typi cal l y above 5 cm The detri tal l ayer of unconsol i dated

decompos i ng but recogn i zab1 e vegetat i on fragments was general l y 1 ess

than 2 cm t h i c k and was absent approximately 50 of the t i me The

predomi n ant materi al at the s i t e coul d be descri bed as a fi ne textured

dark grey or brown sand s i zed fracti on Tabl e 7 2 l i sts the cores and

qual i tat i ve fiel d notes descri bi ng them

Intra- stat i on vari at i on i s al so apparent i n the ORP data large

standard dev i at i ons make the detect i on of d i fferences between stat i ons

d i ffi cul t because a d i fference between means of over 200 mv i s requ i red

before stat i ons cou l d be con s i dered to be s i gn i fi cant l y d i fferent at any

one dept h Cons ideri ng the s i te as a whol e average potent i al s at 2 5

and 1 5 cm were 1 22 95 and 83 mv respect i vel y Sul fi des were present i n

7 - 3

some sampl es ( qual i tat i ve determi nat i on ) predomi nant l y those wi th

v i s i bl e vegetat i on fragments

Combi ned resul ts from the study s i te i nd i cated sed iments conta i ned

approximate l y 4 fi ne sand ( 0 1 25 to 0 25 mm part i cl e s i ze d i ameter) and

20 very fi ne sand ( 0 0625 to 0 125 mm di ameter) by we i ght Sampl es

averaged s l i ghtly over 3 s i l t-cl ay content ( l ess than 0 0625 mm

d i ameter) wi th Stat i ons 2 1 5 and 1 2 havi ng more than 10 s i l t -c l ay

Percent organ i c content (determi ned by i gn i t i on ) was typi cal l y l ow

averag i ng 0 7 wi th most repl i cates between 0 3 and 1 0 Stat i ons 2

1 2 1 3 1 5 and 1 6 had more than 1 organ i c content and Stat i on 1 3 had

1 6 organ i c content

Al most 6 of the sed iment was i n granul es ( l arger than 2mm) Mean

and medi an part i cl e s i ze expressed i n phi un i ts were 2 28 and 2 3 5

respect i ve l y As a whol e sampl es were moderatel y t o poorly sorted

( st andard dev i ati ons were h i gh ) and sort i ng coeffi c i ents were between

0 70 and 2 00 In compl ement measures of kurtosi s ( the degree of spread

i n the t ai l s of i nd i v i dual frequency di str i but i on s ) averaged 1 27 Most

i nd i v i du al sampl es ranged between 1 00 and 1 40 wh i ch i s normal to

1 eptokurt i c Di stri but i ons contai ned a sl i ght excess of fi ne materi al and

an average skewness coeffi c i ent of -0 03 I nd i vidual skewness val ues

were predomi nantl y between -0 10 to 0 10 ph i Percent mo i sture averaged

approxi mately 25 and was s l i ght ly h igher at those stat i ons wi th hi gher

percent organ i c content ( Stat ion 12 and 13 contai ned 34 and 30 moi sture

respect i vely)

Total phosphorus content of the sed iments was not excess i ve and

averaged 0 08 mgg across the study s i te Analyses of vari ance detected

no s i gn i fi cant d i fferences between stat i ons for total phosphorus content

e i t her by stat i ons or by treatments Vari abi l i ty between stat i on

repl i cates requi red stat i on means to d i ffer by over 0 07 mgg before

d i fferences were s i g n i fi cant The hi ghest stat i on means were sl ight1 y

greater than 0 1 mgg at Stat i ons 1 1 2 and 13 wh i l e at Stat i ons 8 and 9

concentrati ons were both l ess than 0 06 mgg

Total Kjel dah1 n i trogen al so di spl ayed the same heterogenei ty as

other sed iment parameters The s i te average of 0 27 mgg compares

unfavorabl y wi th the 0 45 mgg requi red for s i gn i fi cant stati on to

7-4

stat i on d i fferences Desp i te th i s several stat i ons d i d exh i bi t

d i fferences Stat i ons 1 2 and 1 3 be i ng s i gni fi cantly h i gher than many

others wi th 0 66 and 0 64 mgg respect ivel y (These two stat i ons were

the same two contai n i ng the h i ghest percentages of organ i cs ) Stat i ons

8 9 10 and 11 al l had concentrat i ons l ess than 0 1 5 mgg al though no

d i fferences were attri butabl e to harvest i mpacts

Potas si um content averaged 0 49 mgg across the s i te wi th Stat i on

1 3 be i ng noteworthy for l evel s of 1 28 mgg Val ues be l ow 0 4 mgg were

recorded at Stati ons 2 3 1 1 and 16 Only Stat i on 13 was s i gn i fi cantly

d i fferent and from al l rema i n i ng stat i ons To be s i gn i fi can t stat i ons

means needed to d i ffer by 0 35 mgg or greater due to the wi th i n stat i on

vari abi l i ty

N i trate -n i tri te -n i trogen content of the sed iments was ch i efl y

remarkabl e for the extremely l ow l evel s The average contri but i on t o the

total n i trogen profi l e was l ess than 0 4 and the hi ghest concentrat i on

observed at Stat i on 8 was onl y 0 001 mgg or about 1 of the total

Stat i on 8 was s i gn i fi cant l y d i fferent from 2 7 and 1 0 but no

d i fferences attri butabl e to treatment were apparent

Rat i os of sed i ment total n i trogen to total phosphorous (TN TP)

were cal cul ated on a we i ght to we ight bas i s and stat i on means are

presented i n Tabl e 7 3 Stat i on means ranged from 1 7 to 6 1 ( s i te

average of 3 1 ) i n compari son to water col umn TN TP rat i os of

approxi matel y 17 (Sect i on I V WATER QUALITY IMPACTS ) over the course of

the study and vegetat i on rat i os (Sect i on I I I BIOMASS ) of approxi matel y

1 1 Those stati ons wi th the hi gher percentages of organ i cs al so recorded

h i gher TN TP rat i os The i mpl i cat i on i s that n i trogen i s preferent i al ly

mobi l i zed from the sed iments ei ther by preferent i al uptake of the

i norgan i c n i trogen decompos i t i on products or by the more refractory

nature of phosphorous Th i s i s i n compl ement to the n i trogen - l imi tat i on

apparent i n the water col umn at the study s i te

VI I D QUALITY ASSURANCE

Tabl e 7 4 deta i l s the prec l s l on and accuracy resul ts obtai ned

duri ng the anal ys i s of sed i ment from Lake Okeechobee Al l data sets were

7 - 5

generated wi th suffi c i ent numbers of dupl i cates and sp i ke recoveri es

wi th i n the target l i mits spec i fi ed

VI I E CONCLUSIONS AND RECOMMENDATIONS

Sed iments i n the study area were extremely heterogeneous both

between and wi th i n stat i ons In phys i cal appearance these ranged from a

fi ne-gra i ned grey cl ay to a gel at i nous organ i c materi al The overl yi ng

detr i tal l ayer ( not i ncl uded i n chemi cal analyse s ) was typ i ca l l y l ess

than 2 cm th i ck i f present As a resu l t of wi th i n stati on vari at i on few

s t at i on - to - s t at i on d i fferences were judged to be stat i sti cal l y

s i gn i fi cant

Ni trogen phosphorous and organ i c contents were l ow overal l and

fi ne to very fi ne sands were the predomi nant sedi ments s i zes

Phosphorous content averaged 0 08 mgg (dry wei ght ) and n i trogen content

averaged 0 27 mgg N i trate-n i tri te content of the sed i ments represented

l ess than 1 of the total present Potass i um content averaged 0 49 mgg

Stat i ons contai n i ng h igher percentages of organ i c s were al so those

el evated for n i trogen content ( Stat i ons 12 and 1 3 ) Sed i ment averages of

total n i trogen phosphorous rat i os were only sl i ghtl y over 3 0 i n contrast

to water col umn TN TP rat i os averag i ng 17 and b i omass TN TP rat i os of 1 1

Th i s wou l d i mp ly that n i trogen i s e i ther ut i l i zed preferent i al l y andor

that phosphorou s i s more refractory As the water qual i ty i mpacts

sect i on of th i s report found the water col umn to be n i trogen-l i mi ted

based on i norgan i c d i ssol ved nutri ent spec i es the assumpt i on i s that the

n i trogen compounds rel eased by decompos i ng organ i c matter i n the

sed i ments are rapi dl y uti l i zed

Because sed iment heterogene i ty prevented detect i on of sed i ment

chemi stry di fferences between harvested and control areas and because

n i trate -n i tri te-n i trogen represented such a smal l fracti on of the total

present recommendati ons i ncl ude a) i ncrease the col l ect i on of sed i ment

cores from three ( 3 ) to fi ve ( 5 ) b) ana1 yzi ng total Kje 1dah1 n i trogen

and total phosphorus on l y on the two add i t i onal cores Thi s i ncrease i n

rep1 i cates per stat i on shoul d permi t detect i on of d i fferences at l ower

concentrat i on s and could be coupl ed wi th vegetat i ve surveys for

7 - 6

i nformati on on regrowth The support for th i s proposed effort coul d be

obta i ned by del et i on of oxidat i on -reduct i on potent i al and n i trateshy

n i tri te - n i trogen determi n at i on s at al l stat i on s

7 - 7

Table 7 1 Sediment dlemisby station means Lake OksectdJee NovElJi)er 1987

Total Nitrate- Median Kjeldahl Nitrite Total Grain emgt emgt emgt Nitrogen NitJt)gen Hlosphorus kJtassium Size silt-

STATIOO (Dgq) (Dgq) (Dgq) (Dgq) ltJisture organics (pU) Clay 2an SaD 15aD

1 0 24 0 0008 0 11 0 59 25 7 0 5 2 72 2 5 - 7 12 41

2 0 16 0 0003 0 06 0 39 22 1 1 1 2 4 5 15 2 124 96 84

3 0 19 0 0006 0 07 0 38 23 9 0 5 1 93 1 6 201 184 115

7 0 23 0 0003 0 09 0 45 20 1 0 6 1 73 2 1 214 215 -145

8 0 11 0 0012 0 05 0 28 22 5 0 3 2 47 1 4 85 28 48

9 0 09 0 0006 0 05 0 42 23 5 0 2 2 58 0 9 104 65 81

10 0 14 0 0003 0 07 0 49 23 2 0 4 2 42 0 6 151 135 181

11 0 11 0 0008 0 05 0 33 22 9 0 3 2 44 0 6 69 38 38

12 0 66 0 0007 0 12 0 47 34 0 1 2 2 46 5 9 85 90 110

13 0 64 0 0008 0 11 1 28 30 6 1 6 3 01 3 5 110 112 8

15 0 25 0 0005 0 10 0 44 24 8 1 0 1 76 7 1 116 51 49

16 0 42 0 0008 0 07 0 35 26 6 0 8 2 25 2 3 209 112 92

Table 7 2

STATION

1

2

3

7

8

9

10

11

12

13

15

16

Sediment core descriptions lake Okeecbdlee Naveniler 1987

REPLICATE

1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J

CDRE DESCRIPIIONS

lBrk in oolor m horizaS t UI1CXlnSOlidated lBrk in oolor m horizaS t UI1CXlnSOlidated ptrk very urplOSOlidated gray sani below 7 gn lBrk in oolor gray clay below 15 5 an roots tubers lBrk in oolor gray clay below 12 an roots tubers [)ark in oolor gray clay below 12 an roots tubers bull

lBrk in oolor m visible horizons lBrk in oolor 5 an horizal roots tubers ptrk in oolor 5 an horizCl1 roots tubers bull lBrk IIDre sani below 6 an lBrk DDre sand below 6 an [)ark JrPre sand below 6 an bull

lBrk brown sand darker in oolor below 5 an lBrk brown sani horizal at 3 an [)ark brown sani horizon at 3 an bull lBrk brown sand gray sand below 6 an roots lBrk brown sand gray sam below 6 an roots ptrk brown sam gray sanl below 6 en roots bull

lBrk sand light colored sam below 7 an fBil roots

lBrk sand light colored sand below 7 an fBil roots [)ark sani light oolored sam below 7 an fBil roots bull

lBrk sediment lighter color below 3 an roots

lBrk sediment lighter oolor below 3 an roots

[)ark sedilrent lighter color below 3 an roots bull Very UI1CXlIIlSOlidated dark sediment gelatinous medium sand below 6 an Very UI1CXlIIlSOlidated dark sec1iment gelatirxlus neiium sand below 6 an Very urpJlSOlidated dark sec1iment gelatinous medium sani below 6 an bull lBrk sediment horizon at 10 an lBrk sediment horizon at 2 an arrl 10 en

Icxsely packed no horizons bull Ioosely packed no horizons lBrk sediment sand horizal 5-10 an gray clay below 10 an ptrk sediITent sand horizon below 5 an gray Clay below 15 an bull Dllk sand lighter sarrl below 8 an roots

No horizons Dirk sarrl lighter sarrl below 5 an shell hash below 15 an roots bull

Tabl e 7 3

Stat i on

1

2

3

7

8

9

10

1 1

1 2

13

15

16

Sed i ment total n i trogen total phosphorus rat i o s Lake Okeechobee November 2 1987

TN TP

I SO

2 4 1 0

2 6 0 7

3 0 1 2

2 4 0 7

2 0 1 5

1 7 0 5

2 0 0 8

2 2 0 5

5 3 1 6

6 1 3 9

3 1 2 2

6 0 1 4

Table 7 4 sediJnent analyses quality assurarxe targets am results Lake Okeecildlee

Precisian Aauracy Precision Aauracy PARAMErER (x RSO SO) (x RSO SO) (n 2 RSO SO) (n 5( RSO SO)

Total Kjeldahl Nitrogen 8 12 100 9 9 9 8 7 1 6 103 9 5 7

Total IbosJtlOros 7 8 104 12 6 9 3 4 3 6 100 0 5 4

Rgttassium 7 5 100 9 5 5 1 4 8 5 88 1 6 3

Percent loklisture 2 1 6 2 0 1 5

Mean Grain Size 5 3 6 5 6 7 1

Percent Organics 5 3 5 1 7

Percent Siltltlay (pipette analysis) 6 15 0 2 9

10 H A R V E S T I N G T R A N S E C T S

1=== 1 E X P E R I M E N T A L T R A N S E C T S

A P P R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

1

D r n 1 a l e i I U I

lii I

11 middot 5 I I I I

- 1 3

I I r= I

- -- 1 6

N O R T H L A K E

S H O A L

gt- deg 0 zl w =gt w 0 1 III 0 0 ClJ I W 0 o LIJ laquo W J I yen

() 0

1CAl( J bullbull

_ bull Jr-= - _ _ _w _ bull bull -_ bull bull -- u middot _ bull w _ _ raquo -- -

F i gu re 7 1 Sed iment c hemi s try s ta t i o n l ocati o ns November 2 19 87

______ p v C Handle

____ Handle bolt

Valve release

_J4-______ Flapper valve

F i gu re 7 2 Sedi men t cori ng dev i ce

_---- O5mm mesh

--__ -Epoxy sealer

1Jt--______ 75 em aluminum pipe

V I I I BENTH I C FAUNA IMPACTS

VI I I A INTRODUCTION

Benth ic macrofauna ( an i mal s reta i ned on a O Snvn s i eve) can be

separated i nto two bas ic components 1 ) epi fauna con s i st i ng of the

organ i sms l i v i ng on the surface of the substratum and the surfaces of the

macrophytes and detri t al materi al l y i ng on or attached to the substratum

and 2 ) i n fauna con s i st i ng of the organ i sms l i v i ng wi th i n the confi nes of

the substratum The epi fauna of freshwater systems pr i mari ly cons i sts of

mot i l e and sess i l e i n sect s (predomi nantly l arvae) crust aceans and

ga stropod s Ot her groups such as Pl atyhel mi nthes ( fl atworms )

Coel enterata ( hydro i d s ) Pori fera ( sponges ) and H i rud i nea ( l eaches) may

al so be present al though i n fewer numbers The i n fauna are general l y

domi nated by ol i gochaetes i n sect l arvae b i val ve s and cru staceans

Spec i es composi t i on of the benth ic communi ty i s dependent on substrate

type presence or absence of macrophyte s l evel of detri tus and organ i cs

and water qual i ty

Wh i l e there i s l i ttl e i n format i on concern i ng d i rect effects of

phosphoru s n i trates and n i tr i tes on benth i c organ i sms gross organ i c

pol l ut i on ( eutroph i cat i on ) i mpoveri shes the l i ttoral fauna of l akes

Spec i e s of Chi ronomi dae Psychod i dae Cul i c idae and Ol i gochaeta often

predom i n ate under such cond i t i on s whereas spec i es of Tri choptera

Ephemero pte a and other groups typ i cal of unpol l uted cond i ti ons are

usual l y absent ( Resh and Rosenberg 1984 ) The aquat i c vegetat i on i n

normal unpol l uted l akes i s an important source of pri mary product i v i ty

and habi tat for aquat ic i n sects and other i nvertebrates

Benth i c fauna pl ay an i mportant rol e i n the normal breakdown of

detri tal materi al s suppl i ed from both terrestri al and aquat i c sources

I n turn they prov ide an abundant and d i vers i fi ed source of prey i tems

for secondary and terti ary consumer organ i sms such as fi sh frog s

turtl e s crayfi sh etc many o f wh i ch are commerci al l y i mportant to man

Excess i ve amounts of detri tu s as from aquat i c weeds s i gn i fi cantly al ter

the normal benth ic fauna i n favor of spec i es tol erant of l ow l eve l s of

d i s sol ved oxygen h i gh l evel s of fi ne part i cul ates and el evated organ i c

8- 1

compos i t i on The benth i c fauna of Lake Okeechobee general l y exh i bi t l ow

d i vers i ty the domi nant organi sms be i ng ol i gochaetes i nsect l arvae

amph i pods and the pel ecypod Corbicyl a (Dav i s and Marshal l 1975) It i s

expected that both short and l ong term al terat i ons of the benth ic

epi fauna and i nfauna wi l l contri bute to the eval uati on of the success or

fa i l ure of the experi mental treatments ( e g weed harvest i ng) of thi s

study

Chi ronomi d assembl ages have been found to be useful i nd i c ators of

troph i c cond i t i ons and have been used to cl ass i fy l akes ( Saether 1975

1979 ) Warwi ck ( 1980 ) has ass i gned troph i c i ndex numbers to ch i ronomid

assoc i at i ons These assoc i at i ons have been correl ated wi th mean

concen t r at i o ns of tota l phos phorusmean depth or wi th total

chl orophyl l mean depth i n many North Ameri can and European l akes

(W i derhol m 1979 1980 Saether 1980 ) Some aquat i c ol i gochaete spec i es

are al so known to be i nd i cators of substratum and water qual i ty

( Bri n khurst and Jamieson 197 1 ) Spec i es of Tubi f ic i dae are part i cul arl y

cORlllon i n sed i ments exh i bi t i ng h i gh organ i c content and l ow d i ssol ved

oxygen l evel s

V I II B METHODS

V I I I B 1 Study Locat i onExperi mental Design

The experi mental des i gn for the study of benth i c i mpacts i s based

upon compari son of control versus impacted stat i ons Three control

stat i ons were l ocated adjacent to the experimental transect and study

areas ( F i gure 8 1 ) The control stat i ons are essent i al for separat i ng

spat i al and temporal vari at i ons from experimental i mpacts An earl y MML

reconna i ssance survey i n Apri l 1987 i nd i cated the sed i ments of the study

area were rel at i ve ly homogeneous cons i st i ng of fi ne fl occul ent muddy

sands wi th l arge amounts of detri tal materi al Subsequent deta i l ed

sampl i ng efforts have i nd i c ated greater spat i al vari at i on i n sed i ment

types Di ver observat i on s however i nd i cate that the surface sed i ments

( I - Scm) for al l benth i c stat i ons except 12 are general l y s i mi l ar i n

8- 2

texture and appearance These d i fferences are d i scussed 1 ater i n the

report

Basel i ne Study

On August 24 1987 10 days pri or to the actual cutt i ng of the

experimental transect the benth i c stat i on l ocati ons were confi rmed and

sampl ed for basel i ne cond i t i ons A total of 72 s ampl es were col l ected

for macrobenthos and 48 were processed No Hester-Dendy sampl es were

col l ected at thi s t ime

Post -Operat i onal

On September 18 1987 one day after the experi mental transect was

h arvested the fi rst post -harvest benth i c s ampl i ng took pl ace S i nce

weed harvest i ng was expected to exh i bi t the most pronounced effects on

the benthos shortly after harves t stat i ons wl l l be s ampl ed at compl et i on

( t i me 0 ) then agai n at 2 4 6 1 2 1 8 and 24 weeks post-harvest No

gra i n s i ze or percent organ ics sampl es wi l l be taken at these t i mes The

sampl i ng reg i me and rel at i ve age of the stat i ons for each sampl i ng are

i l l ustrated i n F igure 8 2

Hester-Dendy s ampl ers pos i t i oned i mmed i atel y after harvest were

co 1 1 ected at each samp 1 i ng and fresh ones depl oyed at each subsequent

sampl i ng

A second harvest was conducted i n December 1 987 Two add i t i onal

sampl i ng l ocati ons 7A and lOA were establ i shed between stati ons 7 and 8

and 10 and 1 1 respect i vel y for poss i bl e add i t i onal eval uat i on

VI I I B 2 F i el d Col l ect i ons

An i m portant cons i derat i on for properl y sampl i ng benth i c

commun i t i es i s the type o f s ampl i ng dev i ce used Many types o f devi ces

are currentl y i n use and the i r meri ts and drawbacks have been eval uated

(Hol me and Mc Intyre 1984 Pennak 1953 Thayer et al 1975 Tyl er and

Shackl ey 1978 ) Many stud i es have focused excl u s i vel y on the

effect i veness of certai n s ampl ers or have made s i de by s i de compari sons

of several d i fferent sampl ers (Chri st i e 1975 Paterson and Fernando

8-3

1971 Mi l bri nk and Wi ederhol m 1973 ) Cori ng devi ces are presently

con s i dered the most appropri ate method for shal l ow water sampl i ng be i ng

repeated l y quant i tati ve wi th a h i gh l evel of prec i s i on for a vari ety of

bottom types both vegetated and unvegetated Recent l y a comprehen s i ve

compari son of three d i fferent s i zed benth i c corers i nd i cated that

rel ati vel y smal l d i ameter cores are most effi ci ent in sampl i ng benth i c

macrofauna ( Lewi s and Stoner 1981 ) I n contrast most 1 i ghtwei ght

grabs i ncl ud i ng the pet i te Ponar grab (commonl y used i n Fl ori da

freshwater stud i es ) do not penetrate to a uni form depth i n al l substrate

types and may not operate at al l i n dense vegetat i on Th i s observati on

was confi rmed on Apri l 8 1987 duri ng a fi el d reconnai ssance of Lake

Okeechobee by MML personnel A peti te Ponar grab was found unsu i tabl e to

sampl e most areas of the study s i te

Benth i c i nfauna was col l ected us i ng a PVC cori ng devi ce wh i ch

sampl es an area of 45 4 cm2 bull The devi ce i s a mod i fi cat i on of a s i mi l ar

corer devel oped by Ci ty of Tampa personnel to quant i tat i vel y sampl e the

sed i ments of H i l l sborough Bay ( C i ty of Tampa personal commun i cat i on )

The core i s fi tted wi th a one -way check val ve wh i ch reta i ns the sampl e by

suct i on I t i s attached to the end of a l ength of p i pe and i s depl oyed

from the sampl i ng vessel The sampl i ng dev i ce i s easy to operate and

obtai ns a un i form samp l e s i ze for vari ous sed i ment types to depths of

25 ft

Twel ve repl i cate sampl es were col l ected at each stati on Based

upon past experi ence of the study team i t was fel t that 8 or fewer

repl i cates wou l d adequatel y characteri ze the fauna Budget i ng and

manpower esti mates were based upon 8 repl i cate core sampl es at each

stat i on The four rema i n i ng cores were used for backup and archi val

sampl es

Each core was s i eved throug a 0 5mm mesh s i eve ( 35 U S

stand ard ) wh i ch has proved to be of proper s i ze for quant i tati vel y

sampl i ng benthos ( Re i sh 1959 Bi rkett and Mc Intyre 1971 Lewi s and

Stoner 1981 ) Sampl es were s i eved i n the fi el d the an i ma l s were

narcoti zed w i th a 10 magnes i um sul fate sol ut i on and preserved wi th 1 0

buffered formal i n to wh i ch rose bengal sta i n had been added i n order to

fac i l i tate accuracy of sort i ng Sampl es rema i ned i n 10 formal i n for 48 -

8-4

72 hrs to i nsure proper fixat i on they were then transferred to 70

i sopropyl al cohol for storage pri or to l aboratory proces s i ng

VI I I B 3 Laboratory Methods

In the l aboratory al l organi sms were fi rst rough sorted i nto major

taxonomi c groups ( i e ol i gochaetes i nsects mol l uscs crustace a etc )

by use of a 7 -40X stereozoom d i ssect i ng mi croscope Ident i fi cat i ons to

the l owest practi cal taxonomi c l evel (genus and spec i es i n most cases )

was performed by exper i enced taxonomi sts

Mod i fi ed Hester-Dendy art i fi c i al substrate sampl ers were ut i l i zed

to mon i tor epi faunal col on i zati on pri mari l y the aquat i c i nsect l arvae

Th i s method i s approved as an i nvertebrate col l ect i ng tech n i que by the

U S EPA (Weber 1 973 ) and has been sati sfactori l y used by other

i nvesti gators (Tsu i and Breedl ove 1 978 Beak et al 1 973 Ful l ner

1971 ) Two separate sampl ers per stat i on were l eft i n pos i t i on at m id

depth from one macro i nfaunal sampl ing to the next ( e i ther 2 or 6 weeks )

After retri eval the sampl ers were pl aced i nto a 10 buffered formal i n

sol ut i on i n the fi el d for preservat i on of attached fauna I n the

1 aboratory one of each pai r of sampl ers was taken apart and the fauna

scraped from the pl ates then i dent i fi ed to the l owest pract i cal

taxonomi c l evel The second sampl er was used as a backup andor arch i ve

sampl e

Data Anal yses Impact Asses sment

The assessment of env i ronmental i mpacts on the benthos from

spec i fi c d i sturbances (wi th i n reasonabl e constrai nts of a manageabl e and

cost effect i ve sampl i ng program) poses d i ffi cul t stat i st i ca l probl ems

The assessment of effects of an impact by ANOVA or other proced ures of

i nferen t i al stat i st ics cannot be val i dl y used to test for the i mpact of a

po i nt - source of pol l ut i on or i mpact on spec i fi c areas I t can onl y

demonstrate s i gn i fi cant d i fferences between areas wh i ch may often occur

natural l y Therefore the probl em becomes one of eval uati ng recovery by

compari sons of impacted versus non - i mpacted control s i tes Hurl bert

( 1984 ) descri bes i n deta i l the common p i tfal l s made by i nvest igators

8-5

concern i ng the appl i cat i on of conventi onal parametri c stat i st i cs Most

parametric stat i st ics requ i re randoml y appl i ed treatments to mul t i pl e

s i tes that area al so randoml y d i spersed Because such s i tuat i ons are not

read i l y ava i l abl e for envi ronmental i mpact stud i es i t does not

necessari l y fol l ow that envi ronmental impact cannot be rel i abl y measured

Rather a d i fferent approach i s necessary Al l an Stewart -Oaten et al

( 1986 ) descri bed a rat i onal e for the eval uat i on of env i ronmental i mpact

assessment based upon the magn itude of vari ati on between control and

affected areas before and after impact

For any habi tat there are vari ati ons i n spec i es compos i t i on

faunal d i stri but i on gra i n s i ze d i stri but i ons RPD l ayer methane vo ids

etc even over very smal l d i stances In add i t i on temporal changes can

al ter these parameters i n an unpred i ctabl e manner However the

mag n i t ude of the vari at i on of these parameters about a mean val ue wi l l

often be characteri st i c for a habi tat type Furthermore the magni tude

of the vari ati on i s general l y l ow i n very homogeneous areas The

stat i st i cal object i ves of thi s task are to

1 ) Descri be and measure the vari ous sed iment and benth i c faunal

parameters of the study area

2 ) Obtai n an esti mate of the vari at i on of these parameters at

i nd i v i dual stat i ons about the mean val ue for the study area

3 ) Ident i fi cat i on of i mpacted and control stat i ons ( un i mpacted )

4 ) Eval uate the effect of weed harvest by compari ng the control to

i mpacted stat i ons and measuri ng the vari at i on of the sed i ment and

faunal parameters

Anal yses used for the data from the August and October s ampl i ng

peri ods i ncl udes spec i es ri chness (countsstat i on ) faunal dens i t i es (no

organ i smsm2 ) Shannon -Weaver d i vers i ty H ( Shannon and Weaver 1 963 )

P i el ou s equ i tabi l i ty J ( P i el ou 1975 ) Spec i es s aturat i on curves

(Hol me 1953 Gl eason 1922) wi l l be generated to determi ne the

appropri ate number of sampl es necessary to adequatel y descri be the fauna

of each stat i on Upon compl et i on of the project add i t i onal anal yses

wi l l i ncl ude mul t i vari ate quant i fi cat i on and cl uster anal ys i s (Al l en et

8-6

a1 1977 Bl oom et a1 1980 ) and Mori s i ta s i ndex of faunal s i mi l ar i ty

(Mori s i ta 1 959 )

V I I I C INTERIM RESULTS

YI I I C 1 Faunal Compos i t i on

Two sampl i ng peri od s were analyzed for th i s report the basel i ne

sampl i ng event (August 24 1987 ) and a post- harvest i ng sampl i ng event

(October 16 1987 ) Data for the benth i c core analyses are presented

here i n No Hester-Dendy sampl es were col l ected for August and resul ts

for Hester- Dendy anal ys i s for October wi l l be presented i n subsequent

reports

A total of 59 taxa was col l ected duri ng the two sampl i ng peri ods

compri s i ng seven phyl a Arthropoda Annel i d a Mol l usca Hydrozoa

Endoprocta Pl atyhel mi nt hes and Nematoda Tabl e 8 1 l i sts the taxa

recovered duri ng these sampl i ngs in phyl ogenet i c order and the occurrence

at control or harvested stat i on s

The most spec i es ri ch phyl um was Arthropoda composed primari l y of

the subphyl um Insecta pri nc i pal l y the Ch i ronomidae ( Di ptera) represented

by 1 5 tax a Three add i t i onal fami l i es of l arval d i pterans were al so

e n c o u n t e red each re presented by a s i ng1 e taxa Chaoboridae

Ceratopogon i dae and Tabani dae The orders Hemi ptera Tri choptera and

Col l umbo1 a were al l represented by a s i ng l e taxa respect i vel y Other

than the Di ptera only the Odonata was represented by more than one

taxon

The Crustacea were the second most spec i es r ich cl ass of

Arthropod s represented by 4 orders each with a s i ng l e taxon Ostracod a

I sopod a Amph i pod a and Decapod a

The l east abundant cl ass o f arthropods represented by a s i ng l e

taxon Hydracari na was i nfrequentl y encountered

Anne1 i d a ( represented on l y by 01 i gochaetes ) was the second most

spec i es ri ch assembl age Two fami l i es were encountered i n the study

area Nai d i dae was the most d i verse fami ly w ith n i ne taxa The pri mary

mode of reproduct i on for the spec i es i n th i s fam i l y s asexual

8 -7

consequent ly thei r popul at i on s can be very s porad i c i n occurrence

per i od i cal l y resul t i ng i n very h igh numbers

The second fami l y of ol i gochaetes i n the study area Tubi fi c i dae

was compri sed of only two speci es Au1 0dri 1 us piguet i cou l d be

i dent i fi ed from i mmature specimens however the other spec i es

l1mnodril us hoffmeisteri can only be i dent i fi ed as mature i nd i v i dual s

As a resul t the i mmature worms were separated i nto two groups - - those

s pec i mens wi thout cap i 1 1 i form setae and those wi th cap i 1 1 i form s etae

The fi rst group was probably compri sed enti rel y of i mmature l1mndri 1 us

hoffme i steri A1 though no mature spec i mens of the 1 atter group were

encountered they were probabl y I] odri 1 ys tamo1 eton i

Mol l usca was the thi rd most d i verse phyl um represented by s i x

spec i es o f g astropods Al though many of the s ampl es contai ned h i gh

numbers of dead shel l s both bi val ves and gastropods l i ve mol l uscs were

i nfrequentl y encountered

Four mi scel l aneous phyl a were occas i onal l y col l ected Cn i d ari a

and Endoprocta contai ned the col on i al organi sms Cordy1 0ohora 1 acustri s

and Urnatel l a graci l i s wh i ch coul d not be quant i fi ed s o onl y the i r

presence was noted The Phy1 um Nematoda was frequently present i n the

s ampl es and was occas i onal l y the domi nant taxa However because of

the i r smal l s i ze they were general l y cons i dered as me i ofauna and wi l l

not be i ncl uded i n th i s d i scuss i on

VI I I C 2 Compari son of Stat ion Commun i t i es

Three pai rs of stat i ons were s ampl ed The fi rst pa i r (Stat i ons 7

and 10 ) was cl osest to shore Stat i ons 9 and 12 were farthest from s hore

and Stat i ons 8 and 1 1 were i ntermed i ate Each pai r o f stat i ons i ncl uded

a control ( unharvested Stat i ons 10 1 1 1 2 ) and an experimental

( h arvested Stat i ons 7 8 9 ) l ocat i on Tabl e 8 2 summari zes the

commun i ty parameters of each stat i on for both sampl i ng events I ndex

val ues were not computed for stat i ons hav i ng f i ve or fewer taxa

Tabl e 8 3 presents data for each stat i on wi th total counts mean

per repl i cate and i nd i v i dual and cumul ati ve percentage compos i t i on

8-8

Control Transect

Duri ng both samp1 i ng per iods the greatest number of taxa and

h i g hest dens i t i es on the control transect were found at the i nshore

stat i on ( 10 ) and decreased with d i stance from shore At Stat i on 10 the

number of taxa i ncreased sl i ght l y from August to October ( from 18 to 2 1 )

01 i gochaeta was the domi nant taxa fol l owed by Ch i ronomi dae However

the basel i ne sampl i ng peri od exh ib i ted a sl ightly h i g her faunal dens i ty

than the postharvesti ng

The i ntermedi ate stat i on ( 1 1 ) had the second h i ghest number of

taxa and faunal dens i t i es duri ng both sampl i ng peri ods Unl i ke Stat i on

1 0 however both dens i t i es and speci es ri chness i ncreased substant i al l y

from August to October ( from 13 organi sms represented by 4 taxa to 44

organ i sms represented by 1 2 taxa ) 01 igochaetes predomi nated i n both

August and October

The farthest offshore control l ocat i on ( Stat i on 1 2 ) cons i stent l y

exh i b i ted both the l owest dens i t ies and number o f taxa i n the study area

Onl y two taxa were encountered duri ng each s ampl i ng peri od one i nsect

1 arva and one ol i gochaete i n August and 7 ostracods ( Crustacea ) and 6

gastropods i n October However the hi ghest dens i ty of the gastropod

P 1 anorbel l a duryi was found at thi s l ocat i on As d i scussed i n the

Commun i ty Metabol i sm sect i on Stat i on 12 exh i bi ted d i fferences in other

parameters due to a fi ne f1 0ccu1 ant sed i ment

Exper i mental Transect

The experi mental stati ons exh i b i ted the same trend as the control

transect a tendency toward decreased faunal dens i ty and speci es ri chness

with i ncreased d i stance from shore

As i n i ts counterpart ( Control Stat i on 10 ) Stat i on 7 had the

h i ghest number of taxa on i ts respect ive transect duri ng both sampl i ng

events The number of taxa i ncreased substanti a l l y at thi s l ocat i on from

10 i n August to 43 i n October In October th i s stat i on had the h i g hest

number of taxa and dens i ty of any stat i on at any t i me 01 i gochaetes

predomi nated at Stat i on 7 dur i ng both sampl i ng peri ods However wh i l e

c h i ronom ids were absent i n August they represented the second most

abundant and d i verse macro i nvertebrates group i n October In August the

8- 9

spec i es ri chness at control Stat i on 10 was greater ( 18 t axa) than at the

experi mental stat i on 7 ( 10 taxa ) The l ack of i nsect l arvae duri ng

August was respons i bl e for the l ow number of taxa For October however

there were 43 taxa col l ected at Stat i on 7 and only 2 1 at Stat i on 10

The i ntermed i ate stat i on on the experi mental transect ( Stat i on 8 )

refl ected the same trends as i ts correspond i ng control stat i on (Stat i on

1 1 ) the second h i ghest dens i ty and number of taxa on i ts transect duri ng

respect i ve sampl i ng peri ods As at Stat i on 1 1 few taxa were col l ected

i n August wi th a total absence of ch i ronomi d ( i nsect ) l arvae However

i n October the dens i ty and number of taxa i ncreased substant i al l y ( from 3

to 1 9 respect i vely ) pri mari l y d ue to the appearance of chi ronomid

l arvae and an i ncrease in the Nai d i dae (Ol i gochaeta ) popu l at i on I n

August Stati ons 8 and 1 1 had a comparabl e commun i ty structure Because

of the i ncreased number of chi ronomids and ol i gochaetes i n October the

faunal dens i ty at Stat i on 8 was much greater than at Stat i on 1 1 ( 24 1 vs

44 organ i sms )

Stat i on 9 the most offshore l ocat i on cons i stent l y had the l owest

number of taxa on the experi mental transect As wi th the other stati ons

on th i s transect the number of taxa and dens i t i es exh i bi ted a dramat i c

i ncrease from August to October The number of taxa i ncreased from onl y

2 spec i es of ol igochaetes i n August to a commun i ty of 10 taxa domi nated

by ch i ronomids i n October wh i l e th i s stati on s counterpart (Control

Stat i on 12 ) exh i bi ted only a sl i ght change between these samp l i ng events

The sudden occurrence of i nsect l arvae i n October was respons i bl e for the

substant i al i ncrease in faunal den s i ty

V I I I D SUMMARY

1 A total of 59 benth i c macroi nvertebrate taxa was co 1 1 ected

duri ng the basel i ne (August 24 1987 ) and postharvest i ng (October 1 6

1 987 ) s ampl i ng peri ods

2 Ch i ronomi dae ( I nsecta Di ptera) and Ol i gochaeta (Anne l i da )

were the most abundant and d i verse taxa throughout the study area

3 Gastropoda Crustacea and mi scel l aneous I nsecta general l y

compri sed the rema i n i ng taxa

8 - 10

4 Both the control and exper imental transects exh i b i ted a

decrease i n faunal dens i ty and spec i es ri chness wi th i ncreas i ng d i stance

from shore

5 The number of s pec i es and faunal dens i ty general l y i ncreased

at each stat i on between the basel i ne and postharvesti ng sampl i ng per i ods

6 Correspond i ng control and experi mental stat i ons exhi bi ted

s i mi l ar faunal dens i t i es and spec i es ri chness duri ng the basel i ne survey

7 Faunal dens i t i es and s pec i es ri chness were substant i al l y

greater a t the exper i mental stat i ons than a t the i r control counterpart

duri ng the postharvest i ng survey

8 An i ncrease i n the abundance and ri chness of the ch i ronomid

and ol i gochaete commun i t i es was pri mari l y respons i bl e for the changes i n

communi ty structure and abundance between the basel i ne and postharvest i ng

sampl i ng s

8- 1 1

LITERATURE C ITED

Al l en T F H S M Bartel l and J F Koonce 1977 Mul t i p l e stabl e configurat i ons i n ord i nati on of phytopl ankton commun i ty change rates Ecol ogy 58 1 076- 1084

Beak T W T C Gri ffi ng and A G Appl eby 1 973 Use of art i fi c i al substrate sampl ers to assess water pol l ut i on In B i ol og i cal methods for the assessment of water qual i ty Am Soc Test Mat ASTM STP 528 227 -241

B i rkett L and A D Mc Intyre 1971 Treatment and sort i ng of sampl es p 1 56- 168 In N A Hol me and A D Mc Intyre (eds ) Methods for the study of mari ne benthos IBP Handbook No 16 Bl ackwel l Sci ent i fi c Oxford

Bl oom S A S L Santos and J G F i el d 1977 A package of computer programs for benth i c commun i ty anal yses Bul l Mar Sci 27 ( 3 ) 577-580

Bri nkhurst R O and B G H Jami eson 1971 Aquat i c 0 1 i gochaetes of the worl d Uni v of Toronto Press 860 p

Chri st i e N D 1975 Rel ati onsh i p between sed i ment texture speci es ri chness and vol ume of sed i ment sampl ed by a grab Mar Bi ol 30 89-96

Dav i s F E and M L Marshal l 1975 Chemi cal and b i ol og i cal i nvest i gat i ons of Lake Okeechobee January 1973 -June 1974 Interi m Rept Tech Publ 75 - 1 Resource Pl an Dept So Fl a Water Mgmt D i stri ct West Pal m Beach FL

Ful l ner R W 1971 A compari son of macroi nvertebrates col l ected by basket and mod i fi ed mul t i pl e- pl ate sampl ers J Water Pol l Ctrl Fed 43 494 -499

Gl eason H A 1922 On the rel at i on between spec i es and area Ecol ogy 3 1 58- 162

Ho l me N A 1953 The bi omass of the bottom fauna i n the Engl i sh Channel off P l ymouth J Mar Bi ol Assoc ( U Kraquo 32 1 -49

Hol me N A and A D Mc Intyre 1984 Method s for the study of mar i ne benthos I BP Handbook 1 6 Bl ackwel l Sci Publ Oxford 387 p

Hurl bert S H 1 984 Pseudorepl i cat i on and the des i gn of ecol og i cal fi el d experi ments Ecol Monographs 54 187 - 2 1 1

Lewi s F G and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 1 6 - 1 24

Mi l br n k G and T Wi ederhol m 1 973 Sampl i ng effi c i ency of four types of mud bottom sampl ers Oi kos 24 479-4

8- 12

Mor i s i ta M 1959 Measuri ng of i nterspec i fi c assoc i at i on and s i mi l ari ty between commun i t i es Mem Fac Sci Kyushu Un i v Ser e I ( Bi ol ) 3 ( 1 ) 65-80

Paterson G C and C H Fernando 1971 A compari son o f a s i mpl e corer and an Eckman grab for sampl i ng shal l ow-water benthos J F i sh Res Bd Can 28 365-368

Penna k R W 1953 Freshwater 1 nvertebrates o f the Un i ted States Ronal d Press Co NY p 497 -664

P i el ou E C 1975 Ecol og i cal D i vers i ty W i l ey Intersc 1 ence NY 1 65 p

Re i sh D J 1959 A d i scuss i on o f the i mportance of screen s i ze i n wash i ng quant1 tati ve mar1 ne bottom sampl es Ecol ogy 40 307-309

Resh V H and D M Rosenberg ( eds ) 1 984 The Ecol ogy of Aquat i c Insects Praeger Press 625 p

Saether O A 1980 The 1 n fl uence of eutroph i cati on on deep l ake bent h i c i nvertebrate commun i t i es Prog Water Tech 1 2 161 - 180

Saether O A 1 979 Chi ronom1 d communi t i es as water qual i ty i nd i cators Hol arct i c Ecol 2 65-74

Saether O A 1 975 Nearct 1 c ch 1 ronom ids as i nd i cators of l ake typol ogy Internat i onal e Verei negung fur Theoret i sche and Angewandte L i mno l og i e Verhandl ungen 1 9 3 127-3 133

Shannon C E and W Weaver 1 963 The mathemat i cal theory of communi cat 1 0n s Uni v of I l l Press Urban a 1 1 7 p

Thayer G W R B Wi l l i ams T J Pri ce and D R Col by 1 975 A l arge corer for quant i tat i vel y sampl i ng benthos i n shal l ow water L i mnol Oceanogr 20 ( 3 ) 474-481

Tsu i P T P and B W Breedl ove 1978 Use of the mul t i pl e -p l ate sampl er i n b i ol og i cal mon i tori ng of the aquat i c envi ronment Fl a Sc i 4 1 ( 2 ) 1 1 0 - 1 1 6

Tyl er P and S E Shackl ey 1978 Compari son effi c i ency o f the Day and Smi th-Mc i ntyre grabs Estuar Coast Mar Sci 6 439-445

Warwi c k W F 1980 Pasqua Lake southeastern Saskatchewan a prel i mi nary assessment of troph i c status and contami nati on based on the Ch i ronomi dae (D i ptera) p 255-267 In D A Murray ( ed ) Ch i ronom i dae Ecol ogy Systemat i cs Cytol ogy and Phys i ol ogy Oxford Press Pergamon 3 54 p

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P O S T H A R V E S T S A M P L ING

-J (1) - S A M P L I N G T I M E S C A L E ( W E E K S ) w W laquo (I) gt 0 laquo q-en I -

Figure 8-2 S chem a t i c of weed h a rvest tra nsect a n d a s s o c i a t e d b e n t h i c s a mp l i ng s t a t i o n s E i g ht s a mpl i n g e v e n t s a re I nd i c a t e d a s v e r t i c a l l i n e s on h o r i zont a l axi s R e l a t i v e p os t h a rve s t a g e of e a c h s t a t i o n Is pre s e n t e d bull

bull Ind i c a t e s H e s t e r - De nd y r e t r i e v a l S a mp l e rs woul d be p l a c e d I n f i e l d d ur ing t h e p r i o r s a mp l i ng eve n t

Table 8 1 Rlylcqenetic species listixg for all taxa encamtered in oollecticns for AlqUst ani october 1987 frail lake Okeedlclbee Hydrilla remval demonstratioo project site

SPEXIIS

0fIJl1RIA HYIRgtZ01

CDrdylgtpra lacustris Hydra sp

PIATYHEIMINIHES lURBEIlARIA

Dlgesia tigrina NEMAIODA

Nematoda ampW

llNOOIRXTA Urnatella gracilis

K)U1JSCA GAS1K)JOIl

AImioola ampW

Ancylidae ampW

Gyraulus parvus Hydrcbiidae sp A Laevipex fusca Planorbella dutyi

ANNELIDe OLIGOCHAErA NAIDID1ampE

Allonais pectinata Bratislavia unidentata nero diqitata nero furcata nero nivea Naididae sp elinruis Pristina leidyi Pristina lorgiseta Pristina prdxlscidea Stevenoniana trivanlrana

lUBIFICID1ampE lJnietennined sp (wo) Urrletennined sp (with) Aulodrilus piqueti Limncxlrilus hoffmeisteri

X

X

X X

X X X

X

X X X X

X

X

X X X X

X

X X X X

x

X

X

X X

X X X

X

X X

X

X X

x X

X

X

X

X X X X

X

X X X X

X

X X X

X

X X

Table 8 1 oontirrued

ARllroRgtDA ARAaINIIl Hydracarina sp CKJSTACFA

0SIRACX)(li ostracxXJa sp

ISOIODt cyathura polita

AMRIIIODt Hyalella azteca

Palaeoonetes paludosus Palaemonidae sp

COIUMOOIA

Q)lleniJola sp OIXNATA

IJhellulidae Bradwmesia sp

Libellulidae sp ltoenagrianidae COenagrianidae sp

HEHIIIlmA Q)rixidae

Q)rixidae sp TridlocXgtrixa sp

DIPlERA Olaoboridae

Olaeborus pmctipennis Tanypcldinae

Tanypcldinae spp CoelotanyJus spp

Tanmlif 5R) ORIH)CAI)IINAE

Orthocladiinae spp CriCXtotJs spp Thienemanniella spp

Olironaninae sp

x

x x

x

x x

x x

x

x x x

x

x x

x x x

x x x

x

x x x

x

x

Table 8 1 continued

SPECIES

CllilOllCDlS sp Dicroterrlipes sp nr Einfeldia spa Paradlironcrrus sp Iblypedilum spa

TANYlARSINAE Cladgtanytarsus sp Nimbocera spa Rheotanytarsus sp Tanytarsus spa

CERAIDKXnUDtE CeratqxxJonidae sp

TABANIDAE Tabanidae spa

lRIaDPlERA IEPIOCERIDAE

Peoetis sw PlERA

caenis sp

x

X

X

x

X

X X

X

x X X X X

X X X X

X

X

X

Table 8 2 SUDIDary of OmIImity Parameters for bIo sauplinJ events at thJee CXlIltrol statioos (7 8 9) anl thJee harvested statialS (10 11 U) for the stuly area

lOIAL Nl OF em SffANNCN sm TAXA IND rrJ2 -wEAVER SIMPSCN GlNI

08-24-87 7 10 147 4047 l o ll 0 48 1 80 504 496 08-24-87 8 3 5 138 NA NA NA NA NA 08-24-87 9 2 6 165 NA NA NA NA NA 08-24-87 10 18 196 5396 1 97 0 68 3 22 204 796 08-24-87 11 5 14 385 NA NA NA NA NA 08-24-87 U 2 2 55 NA NA NA NA NA

10-16-87 7 44 5U 14097 2 89 0 76 6 89 087 913 10-16-87 8 19 241 6635 129 0 44 3 28 433 567 10-16-87 9 10 139 3827 1 11 0 48 1 82 537 463 10-16-87 10 22 199 5479 2 02 0 65 3 97 247 753 10-16-87 11 U 44 U11 2 00 0 80 2 91 170 830 10-16-87 U 2 13 358 NA NA NA NA NA

Ta 8 -- Ber d fOI h i iOl

- r t - anl - cbE - 987 lplj eve

station 7 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 9 12 7 14 15 13 17 15 102 U 75 69 39 69 39 LIMNOpoundIUI1JS IDFFMEISTERI 2 1 6 1 3 4 1 3 21 2 63 14 29 8367 AIJID[JUI1JS PIQJErI 1 0 3 0 2 0 1 1 8 1 00 544 89 U DER) DIGITATA 1 1 2 0 0 0 2 0 6 75 4 08 93 20 lUBIFICIDAE Dff 0 0 0 0 0 0 1 3 4 50 2 72 95 92 COlUMOOIA SP 0 0 0 0 0 0 0 2 2 25 1 36 97 28 PIANORBELIA IlJRYI 0 0 1 0 0 0 0 0 1 13 68 97 96 URNATEI1A GRACILIS 0 0 0 0 0 0 0 1 1 13 68 98 64 DER) FURCATA 0 0 1 0 0 0 0 0 1 13 68 99 32 BRATSIAVIA UNIIDllATA 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 13 14 20 15 20 17 22 26 147

Station 8 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHAOBRJS RlNClIPEHlIS 0 1 0 0 1 0 0 0 2 25 4000 4000 DERO DIGITATA 0 0 0 0 0 2 0 0 2 25 66 67 66 67 AItLIIAIS 0 0 0 0 0 0 0 1 1 13 100 00 100 00

Totals -gt 0 1 0 0 1 2 0 1 5

Station 9 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 0 0 0 4 0 0 1 0 5 63 83 33 83 33 PRISTINA IEIDY 0 0 1 0 0 0 0 0 1 13 16 67 100 00

Totals -gt 0 0 1 4 0 0 1 0 6

Ta- - 8 -ont L_ - 3d

station 10 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

NEHAlOIlZ SP 0 71 0 0 1 0 3 0 75 9 38 38 27 3827 lUBIFICIDaE IMM Wrur 3 9 5 0 1 6 1 7 32 4 00 16 33 54 59 DERO DIGITATA 1 6 3 2 3 2 3 4 24 3 00 12 24 6684 LlMN()[JUllJS IDFFMEISTERI 2 8 4 2 0 0 0 6 22 2 75 11 22 78 06 AUIDtRIllJS PI(JJErI 0 3 2 2 0 0 3 2 12 1 50 6 12 84 18 BRATSIAVIA UNIDENrATA 0 3 0 0 5 1 0 0 9 1 13 4 59 8878 SP 0 0 4 0 0 0 1 1 6 75 3 06 91 84 IAEVAmX FUSWS 0 2 0 0 2 0 0 0 4 50 2 04 93 88 PIANORBEUA WRY 0 0 0 0 0 2 0 0 2 25 102 94 90 NAIDIDtE SP 0 0 0 0 0 0 2 0 2 25 1 02 95 92 LIBELWLIDtE Spp 0 1 0 0 0 0 0 0 1 13 51 96 43 BRAltlIYMESIA SP 0 0 1 0 0 0 0 0 1 13 51 96 94 OOENAGRIOOIDAE SP 0 0 0 1 0 0 0 0 1 13 51 97 45 URNATELIA GRACILIS 0 0 0 0 1 0 0 0 1 13 51 97 96 lUBIFICIDaE MM 0 1 0 0 0 0 0 0 1 13 51 9847 DERO FURCATA 0 1 0 0 0 0 0 0 1 13 51 98 98 OOEWlANYlUS SP 0 0 1 0 0 0 0 0 1 13 51 99 49 NR EINFEIDIA SP 0 0 0 0 1 0 0 0 1 13 51 100 00

Totals -gt 6 105 20 7 14 11 13 20 196

station 11 Aug 24 1987 Replicate Cllm

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

DERO DIGrrATA 4 3 0 0 0 0 0 0 7 88 50 00 so 00 NEHAIDpoundllIL SP 0 0 0 0 1 0 2 0 3 38 21 43 7143 CHAOooms RJNCrIPmNIS 0 0 0 0 0 1 1 0 2 25 14 29 85 71 BRATISIAVIA UNIDENrATA 0 0 0 0 0 0 1 0 1 13 7 14 92 86 OOEWlANYlUS SP 0 1 0 0 0 0 0 0 1 13 7 14 10000

Totals -gt 4 4 0 0 1 1 4 0 14

station 12 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

OECElIS SP 0 0 1 0 0 0 0 0 1 13 50 00 50 00 AUIDtRIllJS PI(JJErI 0 0 0 0 0 1 0 0 1 13 50 00 100 00

Totals -gt 0 0 1 0 0 1 0 0 2

Ta 8 Dnt d

station 7 oct 16 1987 Replicate OlIn

Taxa 1 2 3 4 5 6 7 8 Total Mean PeI1ent Percent

NAIS ELINGUIS 2 51 22 2 0 13 1 6 97 12 13 18 95 18 95 lUBIFICIDAE IMM Wrur 7 14 17 0 12 4 8 5 67 8 38 13 09 32 03 IJID DIGITATA 12 16 10 12 0 11 1 5 67 8 38 13 09 45 12 oomAOOIlt SP 0 12 6 4 2 2 10 0 36 4 50 7 03 52 15 LIMNOIlUIlJS HlFFMEISTERI 1 5 14 1 1 4 0 0 26 3 25 5 08 57 23 mISTINA IJHISRrA 0 17 1 2 0 3 0 0 23 2 88 4 49 61 72 AMNICOIA SP 2 7 1 1 1 6 0 2 20 2 50 3 91 65 63 CHIRaDIJS SP 3 1 6 2 2 3 1 0 18 2 25 3 52 69 14 JHlmMANNIEI1 SP 0 12 3 0 0 3 0 0 18 2 25 3 52 72 66 BRATISIAVIA tJNIDmlATA 1 2 2 5 1 1 1 5 18 2 25 3 52 76 17 SP 4 0 3 5 3 0 0 2 17 2 13 3 32 79 49 OOLYPEDIIIM SP 3 0 1 4 1 1 0 1 11 1 38 2 15 81 64 mISTINA mgtB6CIDFA 0 5 1 2 0 0 0 3 11 1 38 2 15 83 79 P SP 0 6 4 0 0 0 0 0 10 1 25 1 95 85 74 DICHJIElIDlPES SP 0 6 0 0 0 0 0 0 6 75 1 17 86 91 NIMBXERA SP 0 1 2 1 1 0 0 1 6 75 1 17 88 09 STEllJANSCIUA lRlVANIIWUt 0 0 0 3 0 1 1 1 6 75 1 17 89 26 HYAUEIA AZlEXA 0 1 1 1 0 2 0 0 5 63 98 9023 IrllEA SP 0 1 1 1 0 0 0 1 4 50 78 91 02 NR EINFEIDIA SP 1 0 0 0 0 0 1 2 4 50 78 9180 RHEXJrANYTARSUS SP 0 1 0 1 1 1 0 0 4 50 78 92 58 auroroRJS SP 0 2 1 0 0 1 0 0 4 50 78 93 36 AlJIOIIUIIE PIGJErI 2 0 0 1 0 0 0 1 4 50 78 94 14 lUBIFICIIlfE IMM 0 0 1 1 1 1 0 0 4 50 78 94 92 URNATELIA GRACILIS 1 0 0 0 0 0 1 1 3 38 59 9551 COEIDrANYIUS SP 1 0 0 0 0 0 0 2 3 38 59 96 09 NEMAIODA SP 0 1 0 0 0 0 0 1 2 25 39 96 48 SP 0 0 0 0 1 0 0 1 2 25 39 96 88 ANCYJLI1llE SP 1 0 0 0 0 0 0 0 1 13 20 97 07 HilRgtBIID7E SP A 0 1 0 0 0 0 0 0 1 13 20 97 27 ruESIA TIGRINA 0 0 1 0 0 0 0 0 1 13 20 97 46 PIANORBEIlA IlJRYI 0 0 0 1 0 0 0 0 1 13 2 0 97 66 D7E SP 0 0 0 1 0 0 0 0 1 13 20 97 85 OORDYIDRIgtRA IACDSlRIS 0 0 0 0 0 0 0 1 1 13 20 98 05 OECElIS SP 0 0 0 0 1 0 0 0 1 13 20 98 24 JlU(B)())())RJXA SP 0 0 0 0 0 1 0 0 1 13 20 98 44 BRACHYMESIA SP 0 0 0 0 0 1 0 0 1 13 20 98 63 ltHIRaDfIDIE SP 0 1 0 0 0 0 0 0 1 13 20 98 83 ORIBXlADIlNAE SP 0 1 0 0 0 0 0 0 1 13 20 99 02 TANYRJS SP 0 1 0 0 0 0 0 0 1 13 20 99 22 OIAOBlRJS RJNCr1PlHaS 0 0 1 0 0 0 0 0 1 13 20 99 41

TaO bull 8 - cor Jed

statim 7 oct 16 1987 continued Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHIBHlfiNAE SP (RJPAE) 0 0 0 0 0 0 0 1 1 13 20 99 61 JER) JiURCAI7 0 0 0 1 0 0 0 0 1 13 20 99 80 JER) NIVEA 0 0 1 0 0 0 0 0 1 13 20 100 00

Totals -gt 41 165 100 52 28 59 25 42 512

statim 8 oct 16 1987 Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

0IIl0DU3 SP 4 5 17 48 17 31 19 8 149 18 63 6183 61 83 JER) mGlTAl1 1 3 0 33 4 4 4 4 53 6 63 2199 83 82 SP 0 0 1 8 2 2 3 0 16 2 00 6 64 9046 TANYIUS SP 0 4 0 0 0 0 0 0 4 50 1 66 92 12 NIM8XERA SP 0 0 0 1 0 0 1 1 3 38 1 24 93 36 PIARlRBELIA IlJRYI 0 2 0 0 0 0 0 0 2 25 83 94 19 NAIS ELINGUIS 0 0 0 2 0 0 0 0 2 25 83 95 02 NEWaODA SP 1 0 0 0 0 0 0 0 1 13 41 95 44 ANCYlLtDAE SP 0 1 0 0 0 0 0 0 1 13 41 95 85 GYRAUIIJS PAIME 0 1 0 0 0 0 0 0 1 13 41 96 27 CyenMHlRA lOLITA 0 0 0 1 0 0 0 0 1 13 41 9668 HYAIlEIA AZTErA 0 0 0 1 0 0 0 0 1 13 41 97 10 IMEACARINA SP 0 0 0 0 0 0 1 0 1 13 41 97 51 IJMNCOUIDS l)FFMEISllU 0 0 0 0 0 0 1 0 1 13 41 97 93 lUBIFICIIl7E IMM Wrur 0 0 1 0 0 0 0 0 1 13 41 98 34 AIJlDIRII1JS PlGUE1I 0 0 0 0 0 0 0 1 1 13 41 98 76 TANYIODlINAE SP 1 0 0 0 0 0 0 0 1 13 41 99 17 CERAIO SP 0 0 0 1 0 0 0 0 1 13 41 99 59 TANYTARSUS SP 0 0 0 1 0 0 0 0 1 13 41 100 00

Totals -gt 7 16 19 96 23 37 29 14 241

Tal 8 3 can led

statim 9 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent Paloent

CHrRHHlS SP 4 20 18 8 18 13 12 15 108 13 50 73 97 73 97 NDWlODi SP 0 4 1 1 0 1 1 1 9 1 13 616 80 14 IER) DIGrrATA 0 3 0 0 2 1 1 1 8 1 00 548 85 62 NIMBJCERA SP 0 3 0 0 0 4 0 0 7 88 4 79 9041 PARAaIllUICHS SP 0 3 0 0 2 0 0 0 5 63 3 42 93 84 CIAJOrANrr SP 0 0 1 0 3 0 0 0 4 50 2 74 96 58 anRHJIINAE SP 0 0 0 0 1 0 1 0 2 25 1 37 97 95 CAENIS SP 1 0 0 0 0 0 0 0 1 13 68 98 63 PIAtIlRBEUA IlJRYI 0 0 0 0 0 1 0 0 1 13 68 99 32 NR EINFEIDIA SP 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 5 33 20 9 26 20 15 18 146

statim 10 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent PeIcent

NDWlODi SP 3 3 4 3 0 2 49 28 92 1150 4623 4623 IER) DIGrrATA 2 3 3 1 6 7 8 0 30 3 75 1508 61 31 CIAJOrANrr SP 1 0 1 0 1 9 3 0 15 1 88 7 54 6884 AIJaUUS 0 0 1 0 0 6 5 0 12 1 50 6 03 74 87 00TRACXgtIlt SP 0 1 0 0 0 0 0 6 7 88 3 52 78 39 lUBIFICI DM WClJI 0 5 1 0 0 0 1 0 7 88 3 52 8191 mISTINA UUISFrA 0 1 1 0 0 2 1 0 5 63 2 51 84 42 HYAIlEIA 0 0 1 0 0 0 0 3 4 50 2 01 8643 BRATSIAVIA tJNIIlENmTA 0 0 1 1 0 2 0 0 4 50 2 01 88 44 NIMBXERA SP 0 0 1 1 0 2 0 0 4 50 2 01 9045 CXlRDYIOHIlRA IAaJSDUS 0 1 0 0 0 1 1 0 3 38 1 51 91 96 PIAlIlRBEIlA IlJRYI 0 0 0 1 0 2 0 0 3 38 1 51 93 47 LIMNOlIUllJS JDFFMEISTERI 0 1 0 0 1 0 0 0 2 25 1 01 94 47 AIJIDIlllIm PIGOErI 0 1 0 0 0 1 0 0 2 25 1 01 95 48 CHrRHHlS SP 0 0 0 1 1 0 0 0 2 25 1 01 96 48 IAEVAPEX FUSaJS 1 0 0 0 0 0 0 0 1 13 50 9698 CXgtRIXIDtE SP 0 0 0 0 1 0 0 0 1 13 50 97 49 mISTINA FROBlSEIIEA 0 0 0 0 0 0 1 0 1 13 50 97 99 NAIS EIllDJIS 0 0 0 0 1 0 0 0 1 13 50 9849 TA8ANIDtE SP 0 1 0 0 0 0 0 0 1 13 50 98 99 auoororus SP 0 0 0 0 0 0 1 0 1 13 50 99 50 PARAClIIRHHJS SP 0 0 0 0 0 0 1 0 1 ll 50 100 00

lbtals -gt 7 17 14 8 11 34 71 37 199

Til 8 crd d

station 11 oct 16 1987 Replicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

DER) DIGITATA 3 0 2 3 4 1 1 0 14 175 3182 31 82 NEMAlOJl SP 0 0 2 7 0 1 0 1 11 1 38 25 00 56 82 C8IRA(X)[) SP 3 0 0 1 0 0 0 0 4 50 909 65 91 atIRNHlS SP 0 0 1 0 3 0 0 0 4 50 909 75 00 PAIAEHImlAE SP 0 0 0 0 0 0 0 2 2 25 4 55 79 55 PRISTINA 0 0 0 2 0 0 0 0 2 2 5 4 55 94 09 IJMOOllUIlS Jl)FFMEISlmI 0 0 0 0 1 0 1 0 2 25 4 55 88 64 PIANORBEUA IlJRYI 0 0 1 0 0 0 0 0 1 13 2 27 9091 GYRNJIIJS PARVUS 0 0 1 0 0 0 0 0 1 13 2 27 93 18 PAIAEHImrES PAIIJJXl9US 0 0 0 0 1 0 0 0 1 13 2 27 9545 lUBIFICIDAE DII WaJl 0 0 0 0 0 0 1 0 1 13 2 27 97 73 PARAClIIlODIJS SP 0 1 0 0 0 0 0 0 1 13 2 27 100 00

Totals -gt 6 1 7 13 9 2 3 3 44

station 12 oct 16 1987 Rsplicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

C8IRA(X)[) SP 2 2 0 3 0 0 0 0 7 88 53 85 53 85 PIANORBEUA IlJRYI 0 5 0 1 0 0 0 0 6 75 46 15 100 00

Totals -gt 2 7 0 4 0 0 0 0 13

IX LARVALJUVENILE F I SH TASK

IXA INTRODUCTION

The i mportance of aquat i c macrophytes i n enhanci ng f i sh

popul at i ons by prov i d i ng protect i on and forage for smal l fi shes has been

d i scussed by many authors ( Lantz et al 1 965 Barnett et al 1 974

Rozas and Odum 1987a 1 987b ) However dense Hydri l l a i n festat i on has

been reported to have del eteri ous effects on gamefi sh popul at i on s by

reduc i ng gamefi sh forage ( Lantz et al 1 965 Col l e et al 1 980 and

Macci na 1 985 ) and yet i mpacts on fi sh popul at i ons have al so been

associ ated wi th the removal of nui sance aquat i c weeds ( Hal l er Sh i reman

and Durant 1 980 and Mi kol 1985 ) Luxuri ant stands of vegetat i on al so

ser i ous ly hamper the fi el d bi ol og i sts attempts to quanti fy fi sheri es

resources Therefore the methodol og i es and the s ampl i ng l ocati ons must

address the compl i cat i ons of dense aquati c macrophyte growth

Th i s task has been speci fi cal l y des igned to exam i ne the effects of

mechan i cal h arvest i ng of Hydr1 l l a i n Lake Okeechobee Top ics of

i nvest igat i on i ncl ude

o removal of eggs and l arvae entrapped i n the weed harvest

operat i on

o exami nat ion of the Redge effectR ( i ncrease i n area of edge of weed

I mats ) on d i stri but i on of l arval fi she s

o rel ati ve abundance of l arvae i n und i sturbed weed areas and open

l ake weed edge waters as compared wi th new weed edge created by

harvest i ng and open water over harvested weed and to open 1 ake

waters beyond the weed fri nge

IX B METHODS ANP MATERIALS

IX B l Sampl i ng Strategy

Sampl es were taken us i ng three methods Phy s i cal removal of egg s

and 1 arvae v i a removal o f harvested Hydri 1 l a was quanti fi ed by the

exami nat i on of sampl es of the harvester s l oad col l ected as i t was

9 - 1

transferred from the transport vessel to trai l er The eggs of those

organi sms wh i ch ut i l i ze Hydrjl l a as a sUbstratum for egg - l ay i ng or as

physi cal protect i on were expected to be represented in these sampl es

Fi ve stati ons were sampl ed to address the abundances of l arval

fi sh and the i r utl l i zat i on of var i ous habi tat s wi th i n the study s i te

Both nocturnal l i ght traps and nocturnal pl ankton tows were empl oyed the

sel ect i on depend i ng upon weed dens i ty Surface pl an kton tows were used

pri mari l y at open water s i tes li ght traps at both surface and bottom

were used to address gradi ents wi th i n the water col umn as wel l as

d i fferences between harvested and unharvested areas li ght traps l ocated

at the bottom were expected to y i el d the greatest catch s i nce most o f

t h e i mportant sport and commerci al fi shes - -Centrarchi dae ( bass )

Perc i dae ( perch ) Ictal uridae ( catfi shes ) and Cypri n i dae (mi nnows

sh i nners carp ) - - have demersal early l i fe stages ( Hardy 1978 Jones

Mart i n and Hardy 1 978)

I X B2 Station Sel ecti on

For the l i ght trap and pl ankton tows fi ve stat i ons representi ng

five d i fferent habi tats were exami ned Control s i tes cons i sted of a

vegetated area a natural weed -edge- habi tat and a natural open water

habi tat The northern hal f of Transect 4 ( 1 52 4 x 545 5m) was the

experi mental transect for l i ght trap and pl ankton tow sampl es ( F i g ure

9 1 ) Two stati on types were sampl ed wi th i n the experimental transect- shy

a n open waterover harvested area and a newl y harvested edge ( F i gures

9 2 and 9 3 ) Stat i on l ocati ons were as fol l ows

Stat i on 1 ( vegetated ) area heav i ly i nfested by Hydri 1] a just

outsi de Transect 4

Stat i on 2 ( harvested ) recentl y harvested area i n Transect 4

Stat i on 3 ( harvested edge ) recently harvested edge of Transect 4

Stati on 4 (natural edge ) edge between an unharvested area and the open

water

Stat i on 5 ( open water ) open water area just outs i de Transect 4

Weed harvest sampl es were col l ected on the fi rst 454 5m ( 1 500 ft) of

Transect 3 ( F i gure 9 1 )

9 - 2

IX B 3 Sampl i ngs

The above descri bed stat i ons were sampl ed on September 23 and 30

1 987 and January 5 1988 Duri ng each quarter four repl cate pl ankton

tows and bottom l i ght trap sampl es were taken at Stat i ons 2 - 5 Both

methods prov ided i n formati on on the d i stri but i on of l arvae and juveni l es

wi th i n the water col umn The pl ankton net served pri mar i l y as a surface

col l ect i ng dev i ce wh i l e the l i ght traps served as a bottom col l ect i ng

dev i ce Pl ankton tows were not poss i bl e at Stat i on 1 therefore l i ght

trap sampl es were taken at both surface and bottom A total of 16

pl ankton tows ( 4 repl icates 4 stat i ons ) and 1 5 l i ght traps ( bottom - 3

rep l i cates 5 stat i ons ) were co 1 1 ected on September 23 1 987 8 l ght

trap sampl es ( 4 s urface and 4 bottom repl i cates 1 stat i on ) were

co 1 1 ected on September 3 0 1987 and 1 6 pl ankton tows ( 4 rep 1 i cates 4

stat i ons ) and 24 l i ght traps ( 20 bottom 4 surface ) sampl es ( 4

repl i cates 5 stat i ons ) were col l ected o n January 5 1 988 Duri ng

Quarter I a combi nati on of both towed and trapped sampl es resul ted i n a

total of 39 sampl es col l ected and anal yzed whi l e Quarter I I col l ect i ons

resul ted i n 40 sampl es col l ected and anal yzed

Three 1 14 l i ter ( 30 gal ) weed harvest sampl es were col l ected

preserved and processed duri ng each quarter L i ght trap and pl ankton

tows were co 1 1 ected from ca 1 hr after sunset to ca 1 hr before

s unri se Weed harvest sampl es were col l ected from the harvester at 1400

hrs ( 2 00 PM)

Weather cond i t i ons were more favorabl e duri ng the Quarter I

sampl i ng s than duri ng Quarter I I sampl i ngs In September a i r temperature

was approx i matel y 270C (800F ) water temperature was 280C (820F ) the

wi nd was l ess than 5 knots and the l ake was cal m In January the a i r

temperature was approx i mately 130C ( 55 40F ) water temperatu re was 160C

( 60 80F ) w i nd was approx imatel y 1 5 - 20 knots and the wave height on the

l ake was approx i mate ly 0 3m ( 1 0 ft )

9 - 3

Harvested Hvdri 1 1 a

For each s ampl i ng of harvested Hvdri 1 1 a three 1 14 l i ter (30 gal )

a l i quots of t ightly packed pl ant materi al were col l ected from several

l ocat i ons wi th i n the harvester l oad Drai ned wet we i ghts were recorded

to u se i n conjunct i on wi th bi omass data The rel at i ve appearance of each

al i quot was descri bed ( tops stems etc ) and the presence of other

vegetat i on was noted

Samp1 es were then careful ly ri nsed to free entra i ned organi sms or

l oose ly attached materi a l and the col l ected wash water was s i eved

through three succe ss i vely smal l er mesh s i zes The resul t i ng three

fract i ons per s ampl e consti tuted those organ i sms and materi al s l arger

than l Z 7nm ( lZ- ) 4 _ (316- ) and 0 363mm ( 1 100- ) Al l s ampl es

were preserved in 10 buffered formal i n and transported to the l aboratory

for further process i ng

pl ankton Tows

Open water and mi 1 d 1 y weeded areas were s ampl ed wi th two 30cm

mouth d i ameter 363u mesh con i cal s i de-mounted con i cal p1 ankton nets

( F i gure 9 4 ) Cal i brated General Oceani cs D ig i tal f1 0wmeters were

pos i t i oned i n the midd1 e of each net aperture to measure the s amp1 ed

water vol ume Four repl i cates were taken at each stat i o n each

represent i ng a 3 mi nute tow A thi rd fl owmeter was al so mounted on the

s i de of the boat to mon i tor net cl ogg i ng by prov i d i ng a measure of the

i deal water vol ume samp1 ed Al l samp1 es were co1 1 ected at n i ght to

mi n imi ze avoi dance of the gear by l arval fi sh

Light Traps

HeaVi l y weeded areas were sampl ed u s i ng rectangul ar (40 6cm x

30 Scm x I S 9cm) p1 exi g1 ass l i ght traps ( F igure 9 5 ) The l i ght traps

were fi tted wi th Tekna- L i te Z underwater fl ashl i ghts and SOSu mesh

sl eeves l ead i ng to quart s ampl i ng j ars L i ght traps were fi shed for

approx i mately one hour Both surface and bottom s ampl es were col l ected

at Stat i on 1 Al l other l i ght trap sampl es were taken at the bottom

Temperature ( 0C ) pH and conducti vi ty (rmnhos ) were measured at

the surface of stat i ons where nets and traps were depl oyed us i ng a

9-4

cal i bra ted Martek Mark 7 meter Oi sso 1 ved oxygen (mg1 ) was measured

us i ng a YS I Model 57 oxygen meter Th i s method i n conjunct i on wi th the

pl ankton tows prov i ded i nformati on to assess both spat i al and

experimental l y i nduced vari at i on i n i chthyop1 ankton fauna

IX B Sampl e Anal ys i s

For each sampl i ng method used the catch per un i t effort ( CPUE ) and

spec i es compos i t i on of the col l ected l arvae per habi tat for each quarter

was reported

Catch per uni t effort for each methodol ogy used was reported as

fol l ows

Harvested Hydri l 1 a the number o f organ i sms caught per 100 kg of

Hydri l l a removed

L i ght traps

Pl ankton tows

the number of organ i sms caught per trap- hour fi shed

the number of organ i sms caught per 100m3 of water

For each pl ankton net samp 1 1 ng event the number of organ i sms co 1 1 ected

was cal cu l ated to a standard number per 100m3 of water Because of

rel at i ve un i formi ty of depth i n th i s port i on of the l ake l arval

dens i t i es (no100m3 ) were converted to no hectare of l ake surface The

depths used i n convert i ng no 100m3 to no hectare were l Om i n the

September sampl i ng and 2 0m i n the January sampl i ngs

Analyses of vari ance (ANOYA S ) were cal cul ated us i ng the CPUE s to

determi ne s i mi l ar i t i es or d i fferences i n s pec i es d i versi ty between

habi tats for each methodol ogy (Tabl e 9 1 ) Student t - tests anal yses

cal cul ated from mean number of fi sh per repl i cate were used to determi ne

s i mi l ar i t i es or d i fferences i n rel ati ve abundance of fi sh between

stat i on s for each methodol ogy (Tabl e 9 2 )

IX C RESULTS

Many terms may be used to descri be the 1 arval stages of fi sh

(Snyder 1 983 ) In thi s study the term pro1 arvae deS i gnates those fi sh

wh i c h have just hatched and sti l l retai n a yol k sac The term

postl arvae i s used for al l stages of l arval devel opment fol l owi ng yol k

9-5

sac absorpt i on yet pri or to attai nment of ful l adul t fi n compl ement

- Larvae - i s used i n referri ng col l ect i vel y to both pro1 arvae and

post1 arvae The term -juveni l e- refers to those organi sms wh i ch have the

ful l adul t fi n compl ement but have not yet attai ned sexual maturi ty

Di s sol ved oxygen (DO) temperature pH and conducti v i ty were

measured at the surface at each s i te (Tabl e 9 3 ) Water temperature and

d i ssol ved oxygen were s i mi l ar at al l stat i ons for each sampl i ng date but

were qui te d i fferent between September and January The average water

temperature ranged from 28 10C i n September to 1 6 90C i n January

Average DO ranged from 4 8 mg1 i n September t o 8 4 mg1 i n January

A total of 996 fi sh representi ng 19 speci es was col l ected at Lake

Okeechobee duri ng September and January combi ned Spec i es l i sts for each

sampl i ng date and for total sampl i ng efforts are presented i n Tabl es 9 4

9 5 and 9 6 respect i ve l y Heterandria formosa ( l east ki l l i fi sh ) was

the domi nant spec i es col l ected accounti ng for 41 of the total catch

Lepomis sp ( sunfi s h ) and Gambusi a affi ni s (mosqu i tofi s h ) accounted for

13 8 and 1 2 8 respect i vel y of the total catch Of t he 996 fi sh

col l ected 0 2 were pro1 arvae 46 5 were post1 arvae and 53 3 were

j uveni l es Gambusi a affi n is and Heterandri a formosa were the onl y

speC i es col l ected as adul ts ( 0 3) L i vebearers (H formosa affi n i s

and Poecll i a 1 at i pi nna) al ong wi th ki l l i fi sh (Jordanell a f1 0ri dae and

lucan i a parva) accounted for 55 of the fi sh co1 1 ected The percent

compos i t i on of 1 i vebearers and ki l l i fi sh for each stat i on i s presented i n

Fi gure 9 6 Centrarch i d eggs represented 77 of the 5 932 eggs

col l ected

Catch per un i t effort (CPUE) of each spec i es per stat i on per

s amp1 i ng date for the p1 ankton tows 1 i ght traps and weed harvest are

presented i n Tabl es 9 7 9 8 and 9 9 respect i vel y A majori ty of the

uni dent i fi ed fi sh reported appeared to be cypri n i ds (mi nnows and carp )

F i nal veri fi cat i ons are be i ng cond ucted by Dr W R Courteney ( Fl ori da

Atl anti c Uni vers i ty) Mr 1 S i mon ( Large Ri vers Larval Research

Stat i on ) and Mr D E Snyder ( Larval F i sh Laboratory) and are not yet

ava i l abl e

I n the pl ankton tows for al l stat i ons combi ned 1 2 of the 19

reported spec i es were col l ected of wh i ch 97 5 were post1 arvae Leoomi s

9-6

spp ( sunfi sh ) was the domi nant spec i e s mean abund ance was 465 8

i nd i v i dual shectare i n September and 2 262 i nd i v i dual shectare i n

January Wh i l e Leoomi s spp was most abundant at the open water stat i o n

i t was al so abundant a t the harvested edge and natural edge stat i ons

The smal l er spec i es such as poeci l 1 id s ( l i vebearers ) cypr i nodonti ds

( ki l l i fi sh ) and the cypri n i d s were most abundant at the harvested

stat i on The l arger i nd i vi dual s of these spec i e s were al so col l ected i n

l ower numbers at the harvested edge and natural edge stati ons The

harvested area exh i bi ted the greatest speci e s d i versi ty ( 8 spec i e s ) and

the second h i ghest abundance ( 2 656 i nd i v idual shectare ) i n September

I n January fi sh were most abundant at the open water stat ion ( 5 918

i nd i v i d ual shectare ) but th i s stat i on al so exh i bi ted the l owest speci es

d i vers i ty ( 2 speci es ) Total abundance at th i s stat i on was affected by

the spawn i ng of Lepomis spp whi ch accounted for 4 608 of the 5 918

i nd i v i dual shectare predomi nantly i n the l arval stages Fi sh col l ected

by the pl ankton net method accounted for 28 4 of the total catch

Wi th respect to the eggs col l ected i n the pl ankton tows

centrarch ids were the domi nant speci es (97 eggshectare) The number of

egg s reported i n the pl ankton tows represented only 0 05 of al l eggs

co l l ected

The l i ght traps Igtredomi nantl y attracted juven i l es ( 63 1)

represent i ng 1 5 of the 19 speci es col l ected Heterandri a formosa was the

domi nant spec i es (mean bull 4 5 fi shhour) and Gambusi a affi n i s was the

second most abundant spec i es ( mean bull 1 6 fi shhour) The h i ghest CPUE

for both of these spec i es occurred at the vegetated stat i o n ( 18 03

fi shhour for Heterandri a formosa and 7 03 fi shhour for Gambusi a

affi n i s ) The vegetated and the harvested stat i on s demonstrated the

h i g hest spec i es ri chness each with 8 d i fferent speci es The l arger

spec i es atheri n i ds ( s i l vers ides ) and gobi es were not general l y confi ned

to one habi tat They were present i n the open water and edge habi tats

a s wel l a s the harvested stati on Spec i es of the fami l y Perc idae ( perch)

appeared onl y i n the 1 i g ht trap sampl es at the harvested and harvested

edge stat i on s Few f i sh eggs were col l ected i n l i ght traps

F i sh col l ected i n the weed harvest sampl es accounted for 50 3 of

the total f i sh catch and represented 10 of the 1 9 spec i es reported

9 - 7

Heterandri a formosa and i affin i s were the two predomi nant s peci es

numberi ng 492 3 fi shlOa kg of weed and 1 51 6 fi shlOa kg respect i vel y

O f the total number o f f1 sh col l ected i n the weed harvest 9 9 were

col l ected i n September and 78 of those were j uveni l es W i th the

excepti on of one ki l l i fi sh the 1 i vebearers were the onl y spec i es

col l ected as juven i l es Lepomi s spp was col l ected i n very l ow numbers

and onl y i n the post1 arva1 stage

Eggs col l ected i n the weed harvest sampl e s represented 99 of al l

eggs col l ected Centrarch id eggs wh i ch were col l ected onl y i n January

were the domi nant spec i es of eggs wi th an average of 8 899 eggsl Oa kg

Hydri 1 1 a sampl es exh i b i ted two markedly d i fferent appearance One type

was very 1 eafy wi th short i nternodu1 e spaces the other was l ong and

stri ngy wi th fewer l eaves and l onger i nternodu1 e d i stances Repl i cate

3 of the September samp 1 i ng and rep 1 i cates 2 and 3 of the January

samp l i ng cons 1 sted mai nl y of the l ong stri ngy Hydrill a A greater

number of eggs were col l ected i n the l eafi er Hydri 1 1 a

IX D DISCUSSION

IXD l Effects of Weather

The January sampl i ng resul ted i n l ow speci es ri chness and

abundance A total of 8 f1 sh representi ng 4 speci es were co 1 1 ected i n

the l i ght trap and weed harvest sampl es combi ned These l ow numbers are

most evident i n the January l i ght trap data presented i n Tabl e 9 8 I t

i s bel i eved the adverse weather and l ake cond i t i ons prev i ousl y menti oned

were the primary reasons for these l ow numbers rather than effects of

spawn i ng act i v i ty or mechani cal harvesti ng One specul at i on may be that

the strong wi nd caused a strong current wh i ch may have effecti vel y

h i ndered the swimmi ng abi l i ty of the weaker swimmi ng post1 arvae and smal l

j uven i l e s Consequently these organ i sms became more or l ess pl ankton i C

Another suppos i t i on may be that the strong currents caused by the w i nd

sti rred u p the water enough to cause a decrease i n water c l ari ty Th i s

woul d a l so resu1 t i n a decrease i n 1 i ght trap effect i veness Adverse

9-8

weather cond i t i ons i n January may have al tered the effecti veness of both

sampl i ng method and techn i ques

IX D 2 Sampl i ng Effec1 encv

Prev i ous stud i es (Ager 1 97 1 F l ori da Game amp Fresh Water Fi sh

Commi ss i on 1956 ) reveal ed that at l east 48 fi sh speci es i nhabi t Lake

Okeechobee Duri ng the present study 2 1 spec i es or 44 of those found

i n the l ake have been col l ected thus far

Speci es saturati on curves wh i ch address sampl i ng effi c i ency do not

appl y to i chthyofaunal analys i s due to such factors as act i ve movement of

organ i sms wi thi n and through an area di fferences i n seasonal spawn i ng

and d i verse uti l i zati on o f a habi tat by di fferent 1 i festages wi th i n a

spec i es An esti mate of sampl i ng effi c i ency can be obta ined by compari ng

the number of spec i es col l ected i n our study duri ng a g i ven season ( or

month) to the number of speci es known to spawn i n that season i n Lake

Okeechobe e

Spawn i ng seasons of 3 2 o f the 48 known speci es have been

documented Spawn i ng seasons for the remai nder of the spec i es are

unknown or have not been reported Of the 32 speci es wi th known

spawn i ng seasons there are approxi mate ly 1 5 l ate summer to fal l

spawners 1 4 l ate fal l to wi nter spawners and 2 5 spri ng and sununer

spawners At l east 4 of these speci es seem to spawn al l year around

U s i ng these numbers as a basel i ne for compari son an approxi mate

percentage of speci es col l ected per season ( or month) can be cal cul ated

I n our September sampl i ng whi ch represented l ate summer to fal l

spawners 10 of the 1 5 known speci es (or 66) were col l ected In our

January sampl i ng representi ng l ate fal l to wi nter spawners 10 of the 1 4

known spec i es ( or 7 1) were col l ected Most o f the fi sh spec i es i n Lake

Okeechobee are spri ng and summer spawners ( 7) consequentl y our

spec i es l i st i s expected to i ncrease i n Quarter I I I due to th i s i ncrease

i n spawn i ng act i v i ty

The number o f t i mes a n area i s sampl ed wi thi n a season i s as

i mportant a factor i n col l ect i ng adequate data as i s the number of

repl i cates taken Due to fund i ng constra i nts onl y one sampl i ng event

9-9

per season was schedu led Typ i cal l y i chthyofaunal s ampl i ngs are

conducted on a monthl y or b imonthl y schedu l e Th i s resul ts i n an

i ncrease i n novel speci es over t i me wh i ch l essens the i nfl uence of

prev i ou s l y ment i oned factors that i nh i bi t anal ys i s

The spec i es represented i n our study coi nc i de wi th the s pec i es

known to i nhabi t Lake Okeechobee The same spec i es were col l ected w i th

al l methods uti l i zed i nd i cat i ng there was very l i ttl e d i fference i n

spec i es d i vers i ty between methods empl oyed

IX D 3 Methodol ogy ys Li festage

Pl ankton tows most effect i vel y catch organi sms moved by currents

( pl ankton ) and l i ght traps attract free-swi mmi ng organ i sms As a resu l t

nearl y al l the postl arvae were col l ected i n pl ankton tows wh i l e

juven i l es were taken i n l i ght traps I n order for the l i ght traps to be

successfu l fi sh 1 arvae must be attracted to a l i ght source Some

spec i es of fi sh are attracted to l i ght some are repel l ed wh i l e others

are unaffected Whi l e onl y spec i es that were pos i t i vel y phototroph i c

were captured i n the l i ght trap sampl es those same spec i es were al so

captured i n the pl ankton tows and weed harvest sampl es These s pec i es

were not excl us i ve to any one methodol ogy The eggs wh i ch were reported

i n l i ght trap sampl es were probabl y fl oat i ng i n the water col umn and

carri ed i n to the trap by currents The greatest number of eggs were

removed by the weed harvester when the 1 eafi er type of Hydri l l a was

harvested Some adul t fi sh spawn i n areas of dense Hydri l l a i nfestat i on

( Chubb and L i ston 1 986 Pal l er 1987 ) Therefore the l eafi er Hydri l l a

i s most l i kel y the preferred area for attachment and protect i on due to

the h i gher surface area

Onl y the smal l er spec i es were col l ected as adul ts i n al i quots of

harvested weeds Presumabl y these smal l er s pec i es seek Hydri l l a for

protect i on and are subsequentl y removed al ong wi th the Hydr i l l a by the

harvester S i nce no adul ts of l arge spec i es were col l ected i n the weed

harvest sampl es i t i s poss i bl e they are abl e to swi m out of the

i mmedi ate area to avo i d removal wi th the Hydri l l a

9- 10

IXO4 Aqyat i c Vegetati on and Spec i es Cond i t i on

Prev i ous stud i es (Hal l er Shi reman and DuRant 1980 ) i nd i cated

that few adul t fi shes are actual l y harvested i n conj unct i on w ith Hydri l l a

removal Therefore no fi el d demonstrat i on act i v i t i e s were pl anned

duri ng the present study

Stud i es have shown that changes i n areal coverage of submerged

vegetat i on have a d i rect effect on spec i es ut i l i zat i on of habi tats and

d i stri but i on between habi tats (Col l e and Sh i reman 1980 Rozas and Odum

1987 ) Hydri l J a prov i des shel ter for l arge numbers of forage fi sh In

areas of th ick HydrjJ l a i nfestati on s acces s i bi l i ty i s reduced resul t i ng

i n decreased feed i ng effi c i enci es of forag i ng fi sh Macci na and Shi reman

( 1982 ) reported dense Hydri l l a i nfestat i ons coupl ed w ith reduced forage

fi sh av a i l ab i l i ty appeared to restri ct bl ack crapp i e ( Pomoxi s

nigromacyl atys) growth S imi l arl y Bai l ey ( 1978) reported an i mprovement

i n both growth and cond i t i on of sunfi shes after the removal of dense

aquat i c vegetat i on Col l e and Shi reman ( 1980 ) reported the amount of

Hydri l l a i n the water had a greater i n fl uence on the cond i t i on of

bl ueg i l l and sunfi sh than did percent cover As more of the water col umn

becomes i nfested with Hvdri l l a the cond i t i on of these speci es decreases

The degree of change 1 5 spec ies spec i fi c and rel ated to food usage

Hydri l l a growth affects the cond i t i on factors of l arger gamefi sh before

i t affects cond i t i on factors of smal l er gamefi sh Th i s i s probabl y due

to prey-capture effi c i ency

El i mi nati ng Hydril l a compl etely from an area 1 5 al so detri mental

to f1 sh popul at i on s ( Col l e and Shi reman 1 980 ) Th i s woul d resul t i n a

decrease i n avai l abl e refuge for the forage fi sh renderi ng them read i ly

suscepti bl e to predat i on U l t i matel y the decrease i n forage fi sh

ava i l abi l i ty wou l d l ead to a decrease i n popul ati on of p i sci vorous fi sh

An i ncrease i n edge avai l abi l i ty due to harvest i ng i ncreases food

ava i l abi l i ty by al l owi ng forag i ng al ong a greater open water-vegetat i on

gradi ent Th i s i n turn resul ts i n more favorabl e cond i t i on factors for

gamefi sh Increas i ng the edge avai l abi l i ty i n our study seems to have

had no short term effects on l arval f1 sh popul at i ons such as al ter i ng

spec i es ut i l i zati on or abundance i n the area

9 - 1 1

rhe above menti oned studi es and others (Hi ko1 1985 Gregory and

Powl e s 1985 Lantz et a1 1 965) i l l ustrated that aquat i c vegetat i on

growth wi th i n l i m its prov ides an ava i l abl e suppl y of forage fi sh

essent i al to favorabl e sport fi sh popul ati on growth

IXD S Hab i tat Uti l i zation

rhe vegetated habi tat i n our study seems to be uti l i zed mos t by

post1 arvae and j uven i l es of the 1 i vebearers and ki l l i fi sh The domi nance

of these two spec i es groups at the vegetated stat i on i s cl early

i l l u strated i n F i gure 9 6 Al though the catch per un i t effort was

h i ghest for these smal l er speci es the ANOYA resul ts i nd i c ate l arval

stages of the l arger spec i es were uti l i zi ng the h abi tat as wel l It

seems that al most al l of the spec i es col l ected use the vegetati on as

protect i on from the l arge foragi ng fi sh at some t i me duri ng the i r l i fe

ANOYA resul t s showed there were no s i gni fi cant d i fferences i n spec i es

d i vers i ty between the vegetated surface ( X - 1 42 ) 1 i ght trap s ampl es

T - tests i nd i cated ( plt OS) there were al so no s ign i fi cant d i fferences i n

number of fi sh col l ected from the surface ( X-27 7) and bottom ( X 23 9 )

s ampl es These resul ts impl y there was no strat i fi c at i on i n the vert i cal

d i s tri but i on of fi sh wi thi n the vegetated habi tat

The open water habi tat i s most ly ut i l i zed by the l arger spec i es

Lepomi s spp and gobi es wh ich were probably u s i ng the area as a forag i ng

s i te

S i mi l ari t i es or d i fferences i n spec i es d i vers i ty and abundance

betwee n t h e vegetated and open water habi tat s were exami ned

stat i st i cal l y Al though CPUE s for the l arger spec ies were qu i te

d i fferent from the CPUE s of the smal l er spec i e s ANOVAS i nd i cate there

were no s i gni fi cant d i fferences i n spec i es d i vers i ty between these two

stat i ons ( p-O OS ) The j uveni l es of the smal l er spec i es must be

ut i l i z i ng the open water areas as foragi ng s i tes al so T-tests on the

number of total fi sh i n the l ight traps reveal ed there was a

stat i st i cal ly s i gn i fi cant d i fference between the number of fi sh i n the

vegetated habi t at (X-23 9 ) and those i n the open water hab i tat (X38 4)

Th i s d i fference was expected s i nce 96 of the j uven i l es were col l ected

9 - 1 2

i n l i ght traps and 9 of those were col l ected i n the vegetated habi tat

There were more j uven i l es i n the harvested area than i n the open water

consequent l y the l i ght trap woul d have attracted more fi sh i n the

harvested are a Most o f these j uven i l es col l ected were l i vebearers and

ki l l i fi sh The d i fference i n fi sh numbers was probably i nfl uenced more

by spec i es ut i l i zati on and methodol ogy rather than by harvester i mpacts

The harvested edge and natural edge habi tats i n our study were

predomi nantly uti l i zed by l arger spec i es CPU E s were very s i mi l ar among

spec i es between these two stat i ons There was no stat i st i cal ly

s i gn i fi cant d i fference i n speci es d i vers i ty between the harvested edge

and natural edge T-tests i ndi cated there was no stat i st i cal l y

s i gn i fi cant d i fference i n fi sh abundance between these two stati ons

( harvested edge X-27 9 natural edge X-33 6) Evi dentl y the harvest i ng

of Hydrl l J a has had no s igni fi cant short term i mpact on e i ther

d i stri but i on or abundance of fi sh i n these two areas

As wi th other s i mi l ar stud i es ( Rozas and Odum 1 987 Barnett and

Schne i der 1 974 Pal l er 1987) MML s vegetated and h arvested stati ons

were ut i l i zed by the smal l er spec ies (sect affi n i s H formosa and 1

parva) whi l e open water and edge stati ons were frequented by 1 arger

spec i es ( Lepomj s spp sect robustum and H qul osus ) Recent stud i es have

shown that vegetated areas prov ide protect i on for smal l fi sh by reduci ng

the foragi ng effi ci ency of l arge predators ( Rozas and Odum 1 987 Macc i na

and Sh i reman 1 982 ) In add i t i on to provid i ng refuge Hydri l l a al so

supports a high number of i nvertebrates wh i ch may be an i mportant food

source for smal l fi sh ( Pal l er 1987 Rozas and Odum 1987) Some l arge

open water forag i ng fi shes may demonstrate fl exi bl e habi tat requ i rements

I t was found that bl ueg l 1 l s foraged effecti vel y on vegetat i on-dwel l i ng

prey i n areas of submerged vegetati on as wel l as i n open water areas

(Werner and Hal l 1 977 Col l e and Shi reman 1980 ) The use of habi tat by

Lepomi s s p i n Lake Okeechobee seems to paral l el the fi nd i ngs of these

stud i es Lepomi s spp appear to ut i l i ze al l fi ve habi tats for spec i fi c

purposes and t o a d i fferent extent The vegetated and harvested areas

are probabl y used for protect i on and spawn i ng the harvested and natural

edges and open waters were probabl y forag i ng s i tes

9- 13

Ana1 ysi s of the eggs and 1 arvae entrai ned by the weed harvest

program wi l l al l ow est i mates of total egg and l arval stocks of the study

area Th i s method wi l l not quanti fy al l stocks present due to escape of

l arvae back i nto the waters by runoff from the barge avo idance of weed

h arvesters etc It wi l l however quant i fy h arvester i mpacts and al l ow

a rough compari son of abundance est imates to those generated by the l i ght

trap and net methodol og i es El i mi nati ng Hydri 1 1 a compl etel y from an area

i s al s o detri mental to fi sh popul at i ons (Col l e and Sh i reman 1 980 ) Th i s

woul d resul t i n a decrease i n ava i l abl e refuge for the forage fi s h

renderi ng them read i l y suscepti bl e t o predat i on Ul t i matel y the

decrease i n forage fi sh ava i l abl 1 i ty wou1 d 1 ead to a decrease i n

popul ati on of pi sci vorous fi sh

Al though thi s study was not des i gned to determine the total

percent of fi sh and fi sh egg s bei ng removed by the weed harvester from

lake Okeechobee the rel at i ve abundance of fi sh and fi sh eggs bei ng

removed w ith the Hydrl 1 1 a can be determi ned Th i s can be accompl i shed by

compari ng the percent of fi sh and fi sh egg s col l ected i n the weed h arvest

sampl es to the percent of fi sh and fi sh eggs col l ected i n the pl ankton

tows and 1 1 ght traps Of the three methodo l og i es empl oyed the weed

harvest sampl es contai ned the greatest abundance of organ i sms The weed

h arvester removed 50 3 of al l fi sh and 99 of al l egg s col l ected to

date The pl ankton tow sampl es represented 28 4 of al l fi sh and 0 of

al l eggs col l ected ( Figure 9 7) These data i nd i cate a l arge number of

fi sh and fi s h egg s are bei ng removed wi th the Hydri 1 1 a The avai l ab i l i ty

of an i mportant habi tat for spec i es uti l i zat i on i s al so be i ng removed

Data col l ected thus far suggest there are no stat i st i cal l y

s i g n i f i cant short- term i mpacts on spec i es abundance or d i stri buti o n on

l arval and j uven i l e fi sh i n lake Okeechobee due to mechani cal h arvest i ng

However the avai l ab i l i ty of an i mportant habi tat i s bei ng removed

Consequentl y more extens i ve short- term and l ong -term stud i es shoul d be

conducted over a broad t ime span

9 - 1 4

IX E SUMMARY ANP CONCLUSIONS

1 Heterandria formosa Leoomis sp and Gambusi a affi n i s were

the three most abundant fi sh spec i es wh1 1 e centrarchi d eggs were the

most abundant egg spec i es col l ected

2 Thus far 2 1 speci es ( or 44) of those found i n the l ake have

been col l ected

3 Nearly al l the post1 arvae were col l ected i n pl ankton tows and

weed harvest s ampl es whi l e juven i l es were taken i n l i ght traps

4 The weed harvest s ampl es contai ned the greatest abundance of

organ i sms

5 There seems to be no strati fi cati on i n the veri t i cal

d i stri buti on of fi sh wi th i n the vegetated habi tat

6 There was a stati sti cal l y s igni fi cant d i fference between the

number of fi sh in the vegetated habi tat and those i n the open water

hab i tat

7 There was no stati sti cal l y s i gn i fi cant d i fference i n speci es

d i vers i ty between the harvested edge and natural edge

8 Leoomis s p appear to uti l i ze al l five habi tats for speci fi c

purposes and to a d i fferent extent

9 Mechan i cal harvesti ng seems to have had no stati sti ca l l y

s i gn i f icant short-term impacts on spec i es abundance or d i stri but i on on

l arval and juven i l e fi sh in Lake Okeechobee thus far

10 The avai l ab i l i ty of an i mportant habi tat i s be l ng removed by

the weed harvester

9 - 1 5

LITERATURE C ITED

Bai l ey W M 1 978 A compari son of fi sh popul at i ons before and after extens i ve gass carp stocki ng Trans Am F i s h Soc 1 07 181 - 206

Barnett B S and R W Schne i der 1 974 F i sh popul ati ons i n dense submersed pl ant commun i t i es Hyac i nt h Contr J 1 2 1 2 - 1 4

Chubb S L 1986 Dens i ty and d i stri but i on o f l arval fi shes i n Pentwater Marsh a coastal wetl and on Lake M ich i gan J Great Lakes Res 1 2 ( 4 ) 332-343

Col l e D E and J Y Shi reman 1980 Coeffi c i ents of cond i t i on for l argemouth bas s bl ueg i l l and redear sunfi sh i n Hydri l l a - i nfested l akes Trans Am Fi sh Soc 109 52 1 - 53 1

Gregory R S and P M Powl es 1 985 Chronol ogy d i stri but i on and s i zes of l arval fi sh samp l ed by l i ght traps i n macrophyte Chenung Lake Can J Zool 63 2569 -2577

Hal l er W T 1 980 F i sh harvest resul t i ng from mechan i cal control of Hydri l l a Trans Am Fi sh Soc 109 51 7 -520

Lantz K E J T Daves J S Hughes and H E Schafer Jr 1 965 Water l evel fl uctuat i on - - i ts effects on vegetat i on control and fi sh popul at i on management Proc Annual Conf SE Assoc Game amp F i sh Comm 1 8 483-495

Macc i n a M J and J Y Shi reman 1 982 I nfl uence on dense Hydrl l l a i nfestat i on on bl ack crappi e growth Proc Ann Conf SE Assoc F i sh amp W i l dl Agenc i es 36 394 -402

Mi kol G F 1 985 Effects of harvest i ng on aquat i c veget at i on and j uven i l e fi sh popul at i ons at Saratoga Lake New York J Aquat Pl ant Mgt 23 59 -63

Pal l er M H 1 987 Di stri but i on of l arval fi sh between macrophyte beds and open channel s i n a southeastern fl oodpl a i n swamp J Freshwater Ecol 4 ( 2 ) 1 9 1 - 200

Rozas L P and W E Odum 1 987a F i sh and mi crocrustacean use of submerged pl ant beds in t i dal freshwater marsh creeks Mar Ecol Prog Ser e 38 10 1 middot 108

Rozas L P and W E Odum 1987b Use of t idal freshwater marshes by fi shes and mcrofaunal crustaceans al ong a marsh stream-order grad ent Estuari es 10 ( 1 ) 36 -43

Snyder D E 1 983 F i sh eggs and l arvae I n L A N i el sen and D L Johnson ( eds ) F i sher i es Techn i ques Southern Pri nti ng Co I nc Bl ackburg VA p 166 - 167

9 - 16

Tabl e 9 1 Ana l yses of vari ance ca l cu l ated for pl ankto n tows and l i ght trap s amp l es for September and January s amp l ings

S t mb r 23 1 987

S t at i ) n

CQIJ n t Hi-an S t j DiIv

S t j E r r Vr- i n c C ) i- r r Vr M i n imum M alt i m IJ m

1 -WoiY ANOW

Troiltill1i n t Er l or-

Tot a T

F-t e s t Rat i o

Li 9 h t Tri o Simo T

C IJ nt M in

S t middotj CIiV S t d E I r

V i r i in c C )i r f VJr

Mi n i mlJm

Ma( i m um

1 -WJY ANI)VA

71-=03 t mi n t

Er r o rmiddot

25 1 1 1 7 1 73

57 24 24il l 58 1

53 578

l s

4 2 7 1)6 -

-

bull bull j-4 90

1 52 84

33 1 3 03

-r c T -

J

7 2c2 7 1 1 63 06

63 52 2245 32 i 1

3 43

SS

1 48092 3

2572

26 1 1664

1

1 42

2 45 -

-

5 3 1 7 1 63

1

7 3 1

SS

66 13 3 1 5 4)

38 1 53

4

6 383 1 7 65 1 4

230 72 3 1 lt0337

1 47 49 4lt

1 506

DF

3 23

26

2

3 99

1 49 bull oJ

2 22 1 49 86

- - 4 (3

OF co J

co oJ

5 3 1 Be) 330 53 1 5 1 bull 6 1 1 53 1 2

8 67 e J

75 1

MS

49364 12 107 1 1 1 a

3

3 73 17 bull 1 C) 03

23 i3 53

83

Mshy

D 23 7 86

4 II w

37 bull 3 43 e bull J (

1 7 middot _ bull 1 3 3 1

43 34 6(1 36 - I 0

1 4 1 7

Tabl e 9 1 conti nued

3 4 oJ

CrIJ nt 4- 5 3 4 M rl 4 1 5 01) 548 00 7)4 67 1 562 00

5 t j D 1 520 60 643 23 03 I 2053 65

S t j Er r 261) 30 287 6 46( 33 1 026 33 Voir- h r c -o 27 1 025 4 1 33 1 4 653middot25 42 1 7476 C Hd f VJr 1 25 45 1 1 7 39 1 1 4 76 1 3 1 43

Mi n i mlJIT fr oJ) 3 54 330 11a(imJm l 1 S8 1 642 1 6 1 0 4608

l -W y ANQVA

S5 OF MS

r tme n t 32601 7 1 3 1 086724

Er r o r 1 6423671 12 1369056

iot Jl 1 1638342 1

F-t est R t i ) 71

Tabl e 9 2 Student t -tests analyses cal cul ated for p l ankton tows and 1 i ght trap sampl es for September and January sampl i ngs

t -Gear Stati on Habi tat Mean S D Stat i st i c plt0 05

L ight trap 1 bottom vegetated 23 88 6 252 L i ght trap 5 open water 8 35 0 495 3 308

Light trap 1 surface vegetated 27 70 24 13 L i ght trap 1 bottom vegetated 23 88 6 25 0 307 NS

Pl ankton tows 3 harvested edge 27 89 6 92

Pl ankton tows 4 natural edge 33 57 1 5 06 -0 685 NS

Pl ankton tows 2 harvested 34 88 9 74 5 open water 50 82 26 42 - 1 133 NS

Tabl e 9 3 Temperature ( OC) pH ( standard un i ts ) conducti v i ty (lIIIIhos ) and d i ssol ved oxygen (mgl ) for fi sheri es Stat i ons 1 - 5 September and January sampl i ng s

SeDtember

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( OC ) 28 03 28 02 27 93 28 32

pH 7 83 7 84 7 96 8 1 2

Conduct i v i ty (nmhos ) 0045 0039 0038 004 1

D O (mgl ) 4 3 4 0 5 3 5 4

January

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( oC ) 16 99 16 97 16 85 16 74 16 80

pH 7 10 7 1 7 7 07 7 1 3 7 1 0

Conduct i v i ty (nmhos ) 0018 0020 00 18 00 16 00 16

D O ( mgl ) 8 1 8 6 8 4 8 6 8 4

Tabl e 9 4 L i st of fi sh spec i es from Lake Okeechobee September s ampl e s

Engraul i dae Anchovi e s

Anchoa mi tchi l1 1

Cypr i n i d ae

Notemigonys crysol eucas NotroDi s sp

Cypri nodont f dae

Jordane1 ] a fl oridae Lycania Darva

Poeci 1 i i dae

Gambys1a affinis Heterandr i a formosa poec1 l ia l atjpi nna

Atheri n i dae

Menid i a s p

Centrarchi dae

LeDomi s macroch1 rys LeDomi s s p

Gob i i dae

Gobiosoma robystym Microgob1 ys gyl osys

bay anchovy

Carps amp M i nnows

gol den shi ner s h i ner

Ki 1 1 i fi shes

f1 agfi sh rai nwater ki l l i fi sh

Li vebearers

mosqu i tofi sh 1 east ki l l i fi sh s a i l fi n mol l y

S1 1 vers i de s

s i l versi de

Sunfi shes

bl uegi l l sunfi sh

Gob i es

code goby cl own goby

Tabl e 9 S Li st o f fi sh speci es from Lake Okeechobee January sampl es

SDec1 es Common Name

Cypr i n idae carps and minnows

HotroDi s s p sh i ners

Poec l l i l dae l l vebearers

Gambusi a aff1 n 1 s mosqu l tofi sh Heterandri a formosa l east kl l l i fi sh

Ather i n idae s l l vers ides

Centrarch l dae sunfl shes

LeDom1 s sp sunfi sh

Percl dae perches

Gob1 1 d ae gob l es

Tabl e 9 6 li st of al l fi sh spec i es col l ected to date i n lake Okeechobee sampl es

Species Common Name

Engrau1 i dae anchov i es

Anchoa mi tch ll 1 i

Cypr i n i dae

Notemigonus cryso1 eucas Hotropi s s p

Cypri nodont 1 dae

Jordane1 ]a f] ori dae lucan i a parva

Poec l 1 i l dae

Gambysi a affi n i s Heterandri a formosa poec1 l i a l atpi nna

Ather1 n 1 dae

Meni d ia sp

Centrarch idae

LeDomis macroch i rus LIPomis s p

Perc i dae

Gob1 i dae

ampobiosoma robustum M1crogobiys gu l osus

bay anchovy

carps and mi nnows

gol d en s h i ner sh i ner

ki l l i fi sh

f1 agfi sh rai nwater ki l l i f1 sh

l i vebearers

mosqui tofi sh l east ki l l i fi sh sai l f1 n mol l y

s i 1 versi des

si 1 versi de

sunfi shes

bl ueg i l l sunfi sh

perches

gobi es

code goby cl own goby

Tabl e 9 7 Mean number of i nd i v i dual s ( per s peci es ) per hectare at each habi tat for September and January pl ankton tows ( No pl ankton tows i n unharvested weeded areas )

SEPTEMBER 1987

F I SH

Cypr i n i dae NotroDi s sp Lucani a Darya Gambysi a affin i s Heterandri a formosa Men l di a spp Centrarch idae Lepomi s s p Gobi osoma robystum Mi crogobi ys gyl osys Un i denti fied

TOTAL HECTARE TOTAL SPEC I ES

fGGS

ANJABY laa

F I SH

Cypri n idae Cypri nodonti dae Gambysa affi ni s Atheri n idae Centrarch i dae lepomi s s p Uni dent i fi ed

TOTAL HECTARE TOTAL SPEC I ES

Centrarchidae spp Uni dent i fi ed

Harvested ( hec )

1 27 0 3 1 7 0 204 0 199 0 58 0

268 0 578 0 413 0

492 0

2656 0 8

Harvested ( hec)

56 0

230 0

1 188 0 186 0

1652 0 3

Harvested Edge

( hec)

39 0 6 1 0

439 0 395 0 281 0

6 1 0 143 0

1419 0 6

Harvested Edge

( hec )

380 0 1642 0 548 0

2570 0 2

58 0 1 1 2 0

Natural Open Edge Water

( hec) ( hec )

46 0 74 0

400 0 340 0 139 0 751 0

1 506 0 735 0 162 0 46 0 59 0

2299 0 1959 0 5 4

Natural Open Edge Water

( hec ) ( hec)

330 0 54 0

1610 0 4608 0 450 0 980 0

21 1 4 0 5918 0 2 2

330 0

Tabl e 9 8 Average number o f i nd i vi dual s caught per hour fi shed per habi tat i n l i g ht trap sampl es for September and January sampl i ng s ()

Veg a Veg a Harvested Harvested Natural Open Water Surf Bottom Bottom Edge Edge

eEtIE I s 1 2 3 4 5 Surface

Cypri n i dae 0 37 0 83 0 70 0 30 2 2 Notemogonus

crysol ecas 1 07 1 07 Notropi s S P a 1 68 1 01 0 27 2 95 Cypri nodont i dae 0 19 0 19 Lucan i a parva 0 33 0 37 0 70 Heterandri a

formosa 18 03 7 81 0 70 0 53 27 07 Gambusi a affi n i s 7 03 1 7 1 0 67 9 4 1 Men i d i a SP a 4 63 0 83 1 40 0 30 7 16 Centrarchi dae 1 70 1 70 Lepomi s macroch i rus 0 57 0 57 Lepomi s SP a 0 37 0 37

( 0 58) Perci dae (0 30) ( 0 28) Gobi idae 0 76 0 76 Gobi osoma robustum 0 39 0 27 0 37 0 87 1 90 Mi c rogobi u s gul osus 0 97 1 40 1 33 3 70 Un i denti fi ed 0 33 0 19 0 70 1 22

(0 25) fill Anchoa mi tchl 1 l i 0 1 9 Atheri n i dae 0 33

Tabl e 9 9 Total number o f fi sh per spec i es per 100 kg o f Hydri l l a i n the weed harvest sampl es for September and J anuary

Total Rep 1 Rep 2 Rep 3 PEtIE Organ i sms 100 kg 1 00 kg 100 kg

SEPTEMBER

Notrop i s sp 32 5 1 7 27 5 77 5 52 2 Jordanel l a fl ori dana 1 4 0 6 0 3 3 Lucan 1 a p arva 9 27 8 4 6 6 0 12 8 Poec i l l idae 1 4 6 1 5 Gambus i a affi n i s 92 1 1 5 2 1 19 2 220 5 1 5 1 6 Heterandri a formosa 309 500 6 380 4 595 9 492 3 Poec i l i a l at i p i nn a 5 9 2 1 7 9 9 0 Lepomi s sp 2 9 2 3 1 Un ident i fi ed 45 55 6 4 1 2 1 3 1 1 227 9

Ess1 Ather i n i dae 20 1 1 9 50 4 35 8 32 7 Un i den t i fi ed 1 1 1 5 9 9 2 29 8 1 8 3

JANUARY

Notropi s sp 1 5 8 1 9 Heterandri a formosa 1 5 8 1 9

W1 Centrarchi dae 4562 26660 8 36 1 8899 0 Un i dent i fi ed 1 334 7801 2 2600 4

APPROXI MATE W E E D LINE

LAKE OKEECHOBEE

f

1 _middot-

NORTH LAK E S H OAL

-

Fi gure S l S i t e of c ht hyopl a n kton sampl i n g a l o ng ha rve s ted transect 3 a n d 4 Tra n s e c t 3 wa s the a rea of harves ted Hydri l l a col l e c ti o n a nd Tra n s e c t4 wa s the area of p l a n k to n tow a nd li g ht trap col l ec ti o n

O P E N L A K E

bull bull bull

2 5

3

WEEDED AREA

Fi gure 9 4 S chema t i c o f I c h t hyopl ankton samp l i n g s t a t l ons

middot

Fi g u re 9 3 Ap proxima te s ta ti o n area de s i g na ti o ns for l i g h t tra p and p l a n k to n tows a l ong tran sect 4

middot F i gure A Drawi ng of the s i de-moun ted appa ra tus conta i n i ng two JOcm mouth J6Ju mes h coni ca l

p l ankton nets

Waterproof Flashlight

P lastic Colec tion Jar

505u Mesh Plankton Netting

Collar

r---c------i I----+----Hinge

Collection Funnels

Monofilament Handle for Rope and Bouy Attachment

Fi gure 9 5 Schema t i c of l i ght trap used a t the surface of S tation 1 a nd bottom a t Stati ons 1 - 5

(J) a U a lt U a L1 2 (J) - -U LL -c j z Q o z Ci5 lt 0 a 0 () rJl

Figure 96 Numbers of Llvebearers and Killifish 8S percent of total number collected by habitat for September and January samplings c ombined

1 00 -

8 0-

6 0-

4 0-

2 0-

a VE G

( 1 5 1 )

I I I I HARVESTED HARVESTED NAT U R A L

EDGE EDGE

( 5 9 7) ( 7 5) ( 7 5)

H A B ITAT

( TOT AL FIS H COLLECT E D )

OPEN W AT E R

( 1 00)

0 W I-0 W J J 0 0

en IL IL 0

igure 97 Tota l of fish larvae (pro post juv) and fish eggs by methodology use d for

Lake Okeechobee 0 I and 0 2 samplings combined (Total of fish = 9 9 6 Total of eggs =5 9 3 I )

6 0 0- 6 000

5 0 0- 5 0 0 0

0 w 0 lampJ

4 0 0- J 4000 J 0 0 C) CJ 0 bJ

3 0 0- IL 3 0 0 0

-

OO- 2 0 0

1 0 0- 1 0 00

0 0 1- Z en I- en 0 w en 0 = I c w w 1- 0 O lt gt 1-

- 0 0 Z

J I-lt lt I J c

M ET H O D O L O G Y

0 1- Z en w en 0 = W IJJ 1- 0 gt I-0 lt lt I J c

M ET H O D O L O G Y

I- en I c o lt - 0 J I-

X BENEFITCOST ANALYSIS

X A INTRODUCTION

The economi c feas i bi l i ty of impl ement i ng a l ake-wi de mechan i cal

weed harvesti ng program for Lake Okeechobee can be determi ned by

compari ng the economi c costs of weed harvest i ng wi th the economic

benefi ts as soci ated wi th weed removal and val ue of by- products from

harvested aquati c weeds Thi s sect i on of the Hi d- Course Summary Report

provi des a bri ef overvi ew of the prel imi nary efforts i n devel opi ng an

economi c deci s i on framework

X B ECONOMIC DECISION FRAMEWORK

B l BenefitCost Analysis

The i n i t i al scope o f work for phosphorus removal i n Lake

Okeechobee i ncl uded more than one techn i que for reduc i ng the phos phoru s

content of the l ake Based on the orig i nal scope of work the economi c

anal ys i s for thi s project woul d i nvol ve devel opi ng an economi c deci s i on

framework i n wh i ch the vari ous techn i ques ( L e mechani cal weed

harvest i ng sediment removal ) and the various methods of di sposal ( i e

feedstock l and d i sposal so i l amendment b i omass -to-energy ) wou ld be

presented i n a matr i x format resul t i ng i n a number of al ternat i ves The

benefi t and cost anal ys i s woul d be performed u s i ng a net present worth

approach i n whi ch future benefi t and cost fl ows wou ld be converted to

1988 base dol l ar val ues Then the al ternati ves woul d be ranked by thei r

net present worths

Because o f the d i ffi cul ty i n obtai n i ng the necess ary permi ts

( e g FDER dredge and fi l l ) and budgetary restri cti ons sed iment removal

was el i mi nated as a phosphorus removal techni que i n the fi nal work pl an

Consequentl y the benefi t and cost anal ys i s has been s i mpl i fi ed to

cons i st of onl y one techn i que of phosphorus removal ( i e mechan i cal

weed harves t i ng ) The probl em can be further s i mpl i fi ed by treati ng the

economi c benefi ts of by-product uti l i zati on as negati ve costs Thi s

10- 1

resul t s i n h av i ng only i ntri ns i c val ues ( i e phosphorus removal

aesthet i cs i mproved water qual i ty i ncreased recreat i on ) to eval uate on

the benefi ts s i de of the equat i on Consequentl y the economi c analys i s

can be reduced t o a probl em that can be sol ved by the cost - effect i veness

method

Cost -effect i veness i s a method of eval uat i ng al ternat i ve projects

for wh i ch the benefi t s cannot be eval uated i n economi c terms I n thi s

part i cul ar case the benefi ts assoc i ated w i th aquat i c weed removal are

i ntri n s i c and not eas i l y quant i fi ed The economi cal l y effi c i ent sol ut i on

i s the method of d i sposal whi ch mi n i mi zes the costs of weed harvest i ng

The method o f d i sposal t hat ach i eves the greatest benefi t s per un i t cost

or i n th i s case the l east cost per uni t benefi t woul d be preferred

B2 Financi al Feasibi l i ty

Thi s economi c dec i s ion framework assumes that the South Fl ori da

Water Management Di stri ct has al ready determi ned that phosphorus removal

by mechan i cal weed harvest i ng i s the Di stri ct s goal and that the

obj ect i ve i s to mi n i mi ze the costs assoc i ated wi th ach i ev i ng that goal

However the Di str ict has not yet coitted the funds to cont i nue the

weed harvest i ng proj ect Therefore it woul d be advantageous to eval uate

vari ous al ternat i ves i ncl udi ng the Di stri ct s purchasi ng i ts own

equ i pment

The fi nal work product of the econom ic anal ys i s wi l l i nc l ude

est i mated costs i n dol l ars per acre and per ton of Hydri 1 1 a harvested

Because phosphorus removal i s a key aspect of th i s proj ect cost per

pound of phosphorus on a per acre bas i s wi l l al so be determi ned

Est i mated cost per pound of phosphorus per acre wi l l be cal cul ated us i ng

t o t a l h arvest i ng costs and ranges of phosphorus content for

representat i ve areas of the Hydr1 l l a mat

The factors that contri bute to h arvest i ng costs i nc l ude both fi xed

and vari abl e cost s F i xed costs are those costs that do not change wi th

quant i ty of output and cons i st of cap i t al costs ( i e major equ i pment

purchases bu i l d i ngs and l and) wages of sal ari ed personnel and i n i t i al

start -up costs Vari abl e costs are those costs that change w ith quant i ty

1 0 - 2

of output and i ncl ude the cost of operat i ng suppl i e s wages of hourl y

personne 1 fuel consumpt i on and other costs assoc i ated wi th operat i ng

the equi pment

Approxi mate l i st pri ces for the harvest i ng equ i pment used by the

contractor for the weed harvest i ng demonstrat i on on Lake Okeechobee are

presented i n Tabl e 1 Estimated operati ng costs such as fuel consumpt i on

and mai ntenance costs for these i tems are d i scussed i n the fol l owi ng

paragraphs

The two HIO800 harvesters are the 1 argest harvesters made by

Aquamari ne and represent current technol ogy Th i s part i cul ar model has a

Kubota d i esel eng i ne that uses an esti mated 0 5 gal l on of fuel per hour

Wi th proper preventi ve ma i ntenance the equ i pment shoul d be operat i onal

for 1 0 000 hours Based on an operati ng year of 1 000 hours mai ntenance

costs are estimated to be approxi mately S 1 00 per hour Contractorshy

speci fi ed mod i fi cati ons for the harvesters i ncl ude snake screens and

represent rel ati vel y mi nor changes that are i ntended more for safety of

the operator than for operat i onal effi c i ency

The h i gh- speed HS12 - I4000 transporters are a new product offered

by Aquamari ne The S25 000 pr i ce add -on i s due to the subst i tut ion of

two Vol vo i nboardoutboard eng i nes for a total horsepower of up to 275

Fuel consump t i on i s estimated by the manufacturer to be two to fi ve

g al l ons an hour (maximum consumpti on) when both eng i nes are runn i ng

The two TC 800M trai l er conveyors are speci al -order i tems wi th

mod i fi cat i ons that i ncl ude a gooseneck h i tch for a tractor Aquamari ne

makes a smal l er model that l i sts for approxi matel y S6 000 However for

thi s part i cul ar weed harvesti ng demonstrat i on i t i s i mportant to note

that the bed capac i t i es of the harvesters the transporter and the

trai l er conveyors are the same (800 cubi c feet ) and thus transfer t i me

i s mi n im i zed

These costs represent a substanti al capi tal expend i ture for e i ther

a publ i c agency or a pri vate fi rm In order to arri ve at a standard i zed

cost for equ i pment these costs suppl i ed by Aquamari ne wi l l be

suppl emented wi th cost data from other manufacturers of comparabl e

equ i pment The dec i s i on on whether to i nvest i n equ i pment can be

eva 1 uated us i ng the present d i scounted val ue approach That i s the

10-3

current val ue of the i nvestment wi l l take i nto account the effect of the

d i scount rate Because the d i scount rate i s somewhat arbi trary and even

a smal l change i n the d i scount rate can have a 1 arge effect on the

present d i scounted val ue a sens i t i v i ty analys i s wi l l be performed on the

cal cul at i on

A rev i ew of l i terature on mechani cal weed h arvest i ng d i d not

produce cost document at i on on Hydr11 1 a but i nstead reveal ed that t he

majori ty of publ i shed research on aquat i c weed harvest i ng concerns other

aquat i c weeds such as water hyac i nth and mi 1 foi 1 For exampl e Koega1 11

11 est i mated that the cost per acre of harvesti ng aquati c weeds

( unspec i fi ed ) for two projects i n Wi sconsi n from 1 972 to 1 973 was $68 4 1

Th i s cost fi gure may or may not be representat i ve of Hydri 1 1 a

Therefore i n order to arri ve at reasonabl y accurate harvesti ng costs for

Hydr1 1 1 a i t wi l l be necessary to obtai n from ISampT the fol l owi ng dat a

o fuel consumpt i on

o number of l oads harvested

o operati ng hours

o downtimeprevent i ve mai ntenance hours

o wage rates for both sal ari ed and hourl y personnel

o number of empl oyees by type and

o costs associ ated wi th the purchase of suppl i es

Uni t costs on a short middotterm bas i s ( i e the t i me l ength of t he

demonstrat i on project) wi l l be extremel y h i gh due to the l arge cap i tal

costs i ncurred Therefore the project w1 1 1 al so be eval uated on a l ongmiddot

term bas i s ( i e the l i fe of the equ i pment ) for wh i ch the un i t costs

wi l l decrease consi derabl y

I n sUlllllary the fi nal work product for t he economi c anal ys i s

port i on of th i s project wi l l cons i st of a cost-effect i veness study and a

f i nanc i al feas i bi l i ty study The cost-effect i veness study wi l l focus on

methods of d i sposal The fi nanc i al feas i bi 1 i ty study wi l l i nvol ve

eval uat i ng the project on a cost per pound of phosphorus on a per acre

bas i s

1 0 -4

Tabl e 10 1 Approxi mate Cost of Major Equ i pment Used i n the lake Okeechobee Weed Harvest i ng Demonstrat i on

Quant i ty

2

2

1

Name

Harvestors

Conveyors

Transporter

Model

HIO800

TC800M

HS1 2 - 1 4000

li st Pri ce (each)

spec i al mod i fi cati on requested by contractor

Made-to -Order Pri ce (each )

$87 000

$20 000

$60 000

$30 000

$85 000

Source Personal Commun i cat i on wi th Todd Rathkamp Aqua Mar i ne D i v i s i on o f Erectowel d I nc 1 988

DSA Group Inc 1 988

  • MRT 123 Pt 1-3 69p
  • MRT 123 Pt 4 59p
  • MRT 123 Pt 5-6 81 p
  • MTR 123 Pt 7-10 76p

maturi ty Hvdri l l a senescence and peri phyton i nfestat i on was accompan i ed

by an areal decl i ne i n both bi omass and nutri ent content Max i mum

n i trogen and phosphorus t i ssue concentrat i ons were associ ated with ful l y

mature pl ants pri or t o senescence The presence o f other macrophytes was

respons i bl e for most wi thi n- stati on vari ati on Th i s task i nc i dental l y

d i scovered l arge seasonal d i fferences i n Hydr i l l a phosphorus and n i trogen

content Sampl es col l ected at the study s i te by ISampT duri ng J anuary

1988 were roughly f i ve t i mes h i gher i n phosphorus content than the

materi al col l ected by thi s project duri ng August 1987

Water qual i ty wi thi n the s i te represented an extremel y dynami c

system The i n fl uence of the Ki s s immee Ri ver and any other l ocal

d i sch arges produced d i l ut i on grad i ents across the s i te Vari at i ons i n

qual i ty were apparent between sampl i ng dates Numerous v i ol at i ons of the

i nstantaneous d i ssol ved oxygen cri ter ion (5 0 mgl ) were recorded

part i cu l arl y near the lake bottom Damp i ng of d i urnal oxygen extremes

was observed i n the harvested transects Al l n i trogen spec i es and total

phosphorous were h igher i n the unharvested transect waters than i n the

harvested transect The d i fference may be due e i ther to nutri ent

ut i l i zat i on i n the regrowth areas or to the rel ease of nutri ents from the

senescent Hydr i l l a mat present i n harvested areas The ent i re study s i te

was n i trogen l i mi ted wi th N P rat i os ( by we i ght ) of 3 0 i n the harvested

areas and 9 4 i n the unharvested control s

li ght penetrati on of the water at al l harvested stat i ons was

demonstrated to be s i gn i fi cantl y h i gher than at the unharvested control s

duri ng September onl y By January regrowth of Hvdri l l a produced

s l i ghtl y smal l er compensat i on depths on the harvested transect

Grad i ents i n l i ght penetrat i on were al so apparent wi th i n the experi mental

transect and may be rel ated to t ime s i nce harvest Vert i cal grad i ents

for in 1i1Y data were part i cul arly apparent at the weeded stat i ons

Bl ue-green al gae were the domi nant phytopl an kton taxa at al l

stat i ons d uri ng the September sampl i ngs Thi s domi nance was much reduced

duri ng J anuary when more green al gae were present Di vers i ty and number

of tax a i ncreased at four of the s i x stat i ons i n January but no

cons i stent pattern was apparent for e i ther harvested or control stat i ons

I n add i t i on there were no systemat ic d i fferences between harvested and

1 - 2

unharvested areas on the bas i s of spec i es compos i t i on Vari at i ons i n

chl orophyl l content al so were affected more by seasonal cond i t i ons than

by harvest i ng

The conunun i ty metabol i sm measurements conducted durlng September

1 987 i nd i cate probabl e d i fferences i n oxygen budgets for control and

harvested areas al though i n i t i al stat i st i cal methods d i d not establ i sh

the s i gni f i cance of such d i fferences Th i s was attri buted to anomal ous

data col l ected at a stat i on with unusual sed iment character i s t i cs ( h i ghly

organ i c unconsol idated f i ne grai ned mater i al in contrast to f i ne

grai ned sand ) Add i t i onal data analyses wi l l excl ude thi s stat i on from

cons i derat i on and future sampl i ngs wi l l be conducted at al ternate

l ocat i ons Di fferences by treatment duri ng the January sampl i ng were not

as pronounced as i n September and i nd i cate that regrowth of Hvdri 1 1 a with i n t hat peri od had offset harvest i ng e ffects

Sed i ment heterogenei ty was marked wi th i n the s i te with organ i c

w ith nutri ent content were fa i rl y l ow Organ i c content averaged 0 7

n i trogen 0 27 mgg total phosphorous 0 08 mgg and potass i um 0 49 mgg

on a dry we ight basi s Ni trate-n i tri te -n i trogen concentrati ons were l ess

than 1 of the total present Total n i trogen tota1 phosphorous rat i os

averaged 3 1 and were markedl y l ower than comparabl e rat i os i n e i ther t he

water col umn or the bi omass sampl es refl ect i ng a preferenti al

mobi l i zati on of n i trogen from s i te sed iments Few stat i st i cal l y

s i gn i f i cant d i fferences were detected a s a resul t o f w ith i n - stat i on

vari ati ons and the col l ect i on of more total phosphorus and total n i trogen

val ues are proposed for the second effort of th i s tas k

Data anal yses t o date for benth i c i nfauna i ncl ude preharvest and

postharvest cond i t i ons duri ng August and October respect i vel y The

August fauna was notabl y depauperate both i n taxa and numbers of

i nd i v i dual s wh i l e pronounced i ncreases in both were observed for

October D i urnal l y oxygen - poor cond i t i ons part i cul arl y duri ng August

may l i mi t benth i c fauna Spati al grad i ents were al so noted w ith

decreas i ng s pec i es ri chness and faunal dens i ti es at the southern end of

the study area Experimental and control stat i ons exh i bi ted s i mi l ar

faunal densi t i es and spec i es richness pri or to harvest wh i l e both

1 -3

parameters were substant i al ly greater at the harvested stat i ons duri ng

the October sampl i ng

Based on sampl i ngs i n September and J anuary the l arval and

juven i l e f i sh task col l ected 44 ( 2 1 ) of al l spec i es prev i ously reported

for Lake Okeechobee F i ve habi tats represent i ng both natural and

harvested edges and open water as wel l as heav i ly vegetated areas

were sampl ed Heterandria formosa LeDomi s sp and Gambus i a aff i nis

were the most abundant spec i es Centrarch i ds were the most abundant eggs

recovered The col l ect i on methods were f a i rly specif i c for part i cul ar

l i fe stage juven i l es were taken primari ly i n l i g ht trap sampl es whereas

postl arvae and eggs were taken i n pl ankton tows and Hvdri l l a sampl es

col l ected by the harvester LeDomi s s p appears to ut i l i ze al l fi ve

hab i tats dependent on l i festage No vert i cal strat i fi cat i on of organ i sms

was detected i n the weeded hab i tat and spec i es d i vers i t i es were

equ i val ent at both natural and harvested RedgesR of the Hydri l l a mat No

stat i s t i ca l ly s i gn i f i cant short term i mpacts of harvesti ng on spec i es

abundance or d i str i buti on are apparent

The cost-benefi t analys i s i s restri cted to eval uati ng mechan i cal

harvest i ng al one Benefi ts of thi s techni que wi th the except i on of

sal eabl e byproducts or costs assoc i ated wi th harvested mater i al are

pr i mari l y non -quanti fi abl e ( i mproved habi tat and water qual i ty boater

access nutri ent removal ) Therefore ranges of econom i c parameters wi l l

be ut i 1 i zed together wi th operat i ona 1 data from harvest i ng and

env i ronmental vari abl es from th i s project to present an economi cal l y

opt im i zed harvest i ng pl an to the Di stri ct

I n sunvnary no catastroph i c impacts due to mechan ical harvest i ng

have been detected i n the foregoi ng categori es al though subtl e

d i fferences have been determi ned by the study des ign Harvest i ng reduces

the amount of oxygen stress i n the study area and the nutri ent content of

the water col umn i s l ower i n the harvested than the unharvested areas

The s i te i s n i trogen l i mi ted based on water col umn sed i ment and pl ant

t i ssue anal yses Seasonal vari at i ons are l arge wi th respect to

d i fferences between harvested and unharvested areas for a l gal and l arval

fi sh popUl at i ons Spati al grad i ents were apparent i n many parameters

1 -4

The qual i ty assurance program associ ated wi th thi s project has

thus far conducted a systems aud i t for the pl an of study and at l east one

performance aud i t on f i e l dwork A Qual i ty Assurance Project Pl an has

been prepared and i s i n use as a project control document Aud i ts of

data management and anal ysi s are pl anned for the fi nal report i ng phase

At mi d -course sampl i ng anal yses and del i verabl es are on

schedul e and the project is operati ng wi th i n the budget No probl ems are

foreseen to prevent t imely compl eti on of the remai nder of the schedul ed

work Where al terati ons to speci f ic tasks have been recommended the

support for these efforts wi l l be obtai ned by real l ocati on of funds

wi th i n the project rather than by add i t i onal fund i ng

1-5

o 18 bullbull UNnar tllllllllI UINL UNnan

_ bull 0111 II wilD LlMi

lAKE (J(EECH08EE

Figure 11 Stu dy site l ocation Evaluation and research of impacts o f mechanical harves ting in Lake Okeechobee

I

I I LAKE OKEECHOBEE LITERATURE REV I EW

I I A INTRODUCTION

A 1 i terature rev i ew was conducted as a d i screte task of the

research project The Eval uat i on and Research of Impacts of Aquat i c Weed

Harvest i ng Demonstrat i on i n Lake Okeechobee cond ucted by Mote Mari ne

Laboratory The purpose of the l i terature rev i ew was to provide project

team members wi th economi c geol og i c hydrol og i c chemi cal and

b i ol og i cal i nformat i on on Lake Okeechobee wi th part i cu l ar emphas i s on

water qual i ty probl ems concern i ng phosphorus storage and cycl i ng between

the water col umn sed i ments and aquat i c weeds

I I B METHODS

Three techn i cal el ements were undertaken i n compl et i ng the

l i terature rev i ew 1) ident i fy i ng and search i ng i nformat i on 2) creat i ng

f i l es and 3 ) devel opi ng outputs

I nformati on was obtai ned by rev i ewi ng journal s for art i cl es

search i ng card catal ogs of area l i brar ies contact i ng major authors

conduct i ng research and request i ng key word searches of avai l abl e

computer l i brari es Journal s searched i ncl uded The Journal of Aquat i c

Pl ant Management Quarterly Journal o f the Fl ori da Academy o f Sci ences

( and Fl ori da Sc i ent i st ) L i mnol ogy and Oceanography Hydrobi ol og i a and

North Amer i can Journal of F i sher i es Management L i brari es vi s i ted

i ncl uded Un i vers i ty of South Fl or ida Uni vers i ty of Fl orid a Mote Mari ne

Laboratory Southwest Fl or ida Reg i onal Pl ann i ng Counci l South Fl ori da

Water Management D i str i c t and the Okeechobee off i ce of the Fl ori da Game

and Freshwater Fi sh Commi ss i on Key word l i terature searches were

c o n d u c t e d on d i qu at Lake O keechobee Hyd r i l l a and

nutr i entsaquat i c pl ants u s i ng searches avai l abl e from the Fl ori da

Department of Env i ronmental Regul at i on the Un i vers i ty of Fl ori da Aquati c

Weed Program and the U S Fi sh and Wi l d l i fe Servi ce

2-1

I I C PRODUCT

After rev i ew each publ icat i on was cited keyworded and annotated

u s i ng ARTF I LE vers i on 3 02 software for l i brar i es and b i bl i ographic

storage

Two outputs were devel oped from the comp i l ed i nformat i on 1 )

annotated c i tation s of each i nd i v i dual report and 2 ) Lake Fact Sheets

wh ich summari ze ava i l abl e i nformat i on on a spec i fic top ic requested by

members of t he study team Lake Fact Sheets and keyword b i bl i ographies

were d i stri buted t hroughout the course of the study as requested by

i nd i vi dual project members Lake Fact Sheets and a key word l i st

fol l ow Annotated c i tat i ons appear i n Append i x 2 A

2-2

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on AQUATIC PLANTS

Entri es i n Bi bl i ography 69

( For more deta i l s on spec i fic top ics pl ease see other fact sheets i e

hydri l l a b i omass harvest i ng etc )

Types of stud i es noted

- -Aquat ic pl ant ecol ogy (Moss 1980 23 Lugo and Snedaker 1971 113

Bl ackburn n 11 1968 128 Canfi el d et J 1983 260 Cassan i and

Caton 1985 352 Marshal l 1984 386)

- -Informat i on on aquat i c pl ant communi t i e s as habi tat (Wi l ey etI 1984

34 Durocher niI 1984 38 Mi l l eson nI 1980 40 Watki ns et I

1983 45 Ager and Kerce 1974 190 Sav i no et il 1985 196 Richard

n iI 1985 262)

- -Aquatic pl ant and sed i ment rel ati onsh i ps (Engel and N ichol s 1984 44

Barko and Smart 1986 106 Barko et 11 1983 147 L i et I 1974

108)

- -Aquat i c p l ant management ( Fl or ida DER nI 1986 415)

- - Nutrjent removal by aquat i c pl ants ( Reddy and DeBusk 1985 132)

- -Stud i es on harvest i ng aquat i c pl ants and the effects of harvest i ng

( Carpenter and Adams 1978 17 Sabol 1987 37 Mi ko l 1985 41

Wi l e 1978 57 Neel n 11 1973 114 N ichol s 1974 115

Smal l et

I 1985 130 Wi l e 1975 135)

- -Stud i es on chemical and other control s of aquat i c pl ants ( H i l t i bran n

J 1972 105 Ganstad 1978 110 deNoyel l es and Kett l e 1980 118

M i l on n 11 1986 119 Smal l et I 1985 130 Sutton and Vand i ver

1986 139 Lesl i e and Kobyl i nsk i 1985 255 Langel and and DeMont

1986 227 Barrett 1981 342 Barrett and Murphy 1982 344 Cl ayton

and Tanner 1982 355 Frank and Comes 1967 364 Graham 1976 369

Hughes and McCol l 1980 377 Richard et I 1984 426)

- -Aquat i c pl ant chem i s try and phys i ol ogy ( LaLonde 1970 107 Gerl off

1978 111 Gerl off 1973 112 Bri stow and Wh i tcombe 1971 136)

- - Chl orophyl l a concentrat i ons and aquat i c macrophytes ( Canfi e l d et I

1984 263)

2-3

Produced by Mote Marine Laboratory for South Florida Water Management District

- -B i omass stud i es and methods ( Schl oesser and Manny 1984 14 Mace i n a

J il 1984 33)

- -Uses for aquat i c weed s such as cattl e s i l age ( Bagnal l n l 1978

18) and compost (Wi l e g1 Jl 1978 19)

--Stud i es concern i ng Hydrilla vertic1llata ( Bagnal l 1980 18 Bol e and

Al l an 1978 15 P i erterse J il 1984 42 Bruner and Batterson 1984

43 Bowes 11 il 1979 47 Sutton 1982 52 Sutton and Port i er 1985

53 Sutton and Port i er 1983 57 McGhehee 1979 57 Bal c i unas 1985

116 Mart i n 1983 146 Johnston n Jl 1983 36 Canfi el d et l

1983 265 Mace i n a and Shi reman 1982 281 Hodgson and Carter 1982 423)

2-4

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fa c t She e t on BIOMASS

Entri es i n B i bl i ography 14

Types of stud i es noted

- -A troph i c state i ndex for l akes based on al gal bi omass (Carl son 1977

2)

- -Chl orophyl l -b i omas s - nutri ent rel ati onsh i ps for phytopl ankton (Canfi el d

et gl 1985 4)

--An assessment of bi omass control for water qual i ty management (Wong et

li 1979 9) --Methodol og ies for est imat i ng or measuri ng bi omass (Schl oesser and

Manny 1984 14 Mace i na g1 li 1984 33)

--Effects of harvest i ng or other weed control methods on aquat i c

vegetat i on b i omass (Mi kol 1985 41 Wi l e 1978 57 Cassani and Caton

1985 352 Hughes 1974 378 Sch i l l er 1983 398)

--B i omass measurements rel ati ng seasonal and b i otype vari at i ons i n

Hydr i l l a (Bowes et 11 1979 47 Steward 1987 408)

--Seasonal b i omas s of sel ected spec i es (Bowes et li 1979 47 Dewey et

l 19a1 266)

SUMMARY

Several stud i es use b iomass as a measure of aquat i c pl ant control

and as part of overal l assessments of water qual i ty management Mi ko 1

(1985) uses total pl ant bi omass measurements to asses s the effects of

mechan i cal harvesti ng on aquat i c vegetati on Wi l e (1978) al so presents

bi omass data as part of an assessment of envi ronmental effects of

mechan i cal harvesting Cassine and Caton (1985) asses s the same for

chem i cal and b i ol og i cal weed control Mace i na et li (1984) present a

method for est i mat i ng submersed pl ant bi omass by us i ng a record i ng

fathometer The i r data showed that the tech n i que i s not equal l y rel i abl e

for al l water bod i es However accurate b iomass determi nat i ons cou l d be

obt ai ned i f fathometer traci ngs are cal i brated w i th actual b i omas s data

Add i t i onal b iomass data for aquat i c p l ants are presented by Hughes

2-5

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

( 1974) Sch i l l er ( 1983 ) and Steward ( 1987 ) Bowes n il ( 1979) and

Steward ( 1987 ) present bi omass data for Hydri l l a i n Fl ori da

Canfi e l d et il ( 1985 ) address chl orophyl l - bi omass - nutri ent

rel at i onsh i ps for n atural assembl ages of Fl ori da phytopl ankton Carl son

( 1977 ) presents a troph i c state i ndex for l akes and uses al gal b i omass as

a parameter for the i ndex

2-6

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STU DY

Fact Sheet on D IQUAT

Entr i es i n B i bl i ography 84

Types of stud i es noted

- -Taxi c i ty data ( Mayer and El l ers i eck 1986 270 Berry and Schreck

1976 346 Funderburk and Lawrence 1967 366 Howe and Wri gt 1965

376 Kam W i ng and Furtado 1977 381 Naqui et Ai 1980 390)

- - Effects of d i quat on aquat i c commun i t i es ( H i l t i bran I 1972 105

Berry sl 1964 347 Cas san i and Caton 1985 352 Cal derban k 1972

351 C l ayton 1986 356 Dan i el 1972 358 G i l derhus 1967 368

Haag 1986 370 H i l senhoff 1966 372 Hughes and McCol l 1980 377

Joyce and Thayer 1986 379 Marshal l 1984 386 M i chaud 1979 387)

- -General chem i cal control gu i des and control of spec i fi c aquat i c

pl ants (Abery 1986 339 Barrett 1981 342 Barrett and Murphy 1982

344 Barrett and Logan 1982 345 Chevron Chemi cal Corp 1978 354

Hi l t i bran 1971 373 H i mel n li 1981 375 Ki l l gore 1984 383

Mac kenz i e 1966 385 Mobl ey n il 1971 388)

- -Di quat accumul ati on i n pl ants and sed i ments ( B i rmi ngham and Colman

1983 348 Dav i s and Seaman 1968 359 Frank and Comes 1967 364

Langeland and Warner 1986 384)

- - Experi mental data on herb i c i de treatments (Bri t i sh Col umbi a 1975

350 Clayton and Tanner 1982 355 Dunn et I 1983 362 Hal l er

1982 371 K i l l gore 1981 382 Newroth and L i m 1980 392)

- -Di quat u se wi th other types of control s (Charudattan 1986 353 Frank

AI 1979 365 Ganstad 1986 367 Graham 1976 369 Newroth

1974 391)

SUMMARY

I n add i t i on to the above noted stud i es three l i terature summari es and

rev i ews prov ide good i nformat i on on d i quat stud i es

Joyce and Ramey (1986) prov ide a good annotated rev i ew of 1 i terature

concern i ng research on the fate of aquat i c herb i c i de s i n water w i th

emphas i s on Fl ori d a s freshwater ecosystems Tucker (1980) rev i ews 50

c i tat i ons on d i quat c i tat i ons and prov ides a deta i l ed summary on the

2-7

Produced by Mote Marine Laboratory for South Florida Water Management District

foll ow i ng aspects of d i quat env i ronmental chemi stry adsorpt i on by so il

and cl ay mi neral s aerob i c and anaerob i c soi l stud i es soi l stud i es under

fi el d cond i t i ons aquat i c studi es soi l l eaching stud i es rotat i onal crop

stud i es photochem i cal degradat i on stud i es and mi croorgan i sm stud i es

Langel and and DeMont ( 1986 ) prov i de a thorough rev i ew of the l i terature

on the detect i on tox i c i ty and pers i stence of d i quat endotha1 1 and

f1 uri done They al so present speci fi c data on stud i es of the pers i stence

of d i quat endothal l and f1 uridone i n North Carol i na ponds and water

movement patterns i n Lake Wheel er North Carol i na

2-8

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on EUTROPHICATION

Entr i es i n Bi bl i ography 12

Types of stud i es noted

- -Eval uati ons of nutri ents i n eutroph i c l akes (Canfi el d 1983 5

Schi ndl er 1971 131 Michaud n ll 1979 387 Lee and Jones 1980

175)

- -Aquati c pl ant probl ems i n eutroph i c l akes (Graham 1976 369 Hughes

and McCol l 1980 377)

--Assess i ng eutroph i cati on based on water qual i ty stud i es ( Federi co et

Al 1981 67)

--Troph i c structure assessments and changes i n eutroph i c l akes ( Gayl e

1975 181 US Envi ronmental Protect i on Agency 1975 161)

SUMMARY

A number of stud i es address eutroph i cati on i n Lake Okeechobee

US Env i ronmental Protect i on Agency (1975 161) reports on Lake

Okeechobee as part of the Nat i onal Eutroph i cat i on Survey and a number of

state gency commi ttee stud i es and eng i neeri ng reports provi de anal yses

of Lake Okeechobee eutroph i cati on (MacGl l n AI 1976 174 Bl ack Crow

Ei dsness Inc 1976 185 Lee and Jone s 1980 175)

Us i g seven years of water qual i ty data Federi co et it 1 (1981

67) i dent i fy annual and seasonal l mnet i c water qual i ty trends exami ne

the re l at i o n s hi p to t r i but ary i n fl ow s i d en tify trends and

quali tyd i scharge rel ati onsh i p s cal cul ate annual l ake materi al budgets

for each year and assess the trophi c status of the 1 ake Gayl e (1975

181) presents a systems model for understanding eutrophicat i on i n Lake

Okeechobee

2-9

Produced by Mote Marine Laboratory for South Flori da Water Management District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on HARVESTING

Entr i es i n B i bl i ography 15

Types of stud i es noted

--Effects of harvesti ng aquat i c pl ants on nutr i ent removal ( Bol e and

Al l an 1978 15 Wi l e 1978 57 Neel et AI 1973 114)

--Compari sons of mechan ical and b i ol og i cal harvest i ng wi th herbi c i de

control ( Carpenter and Adams 1978 17 Smal l et AI 1985 130

Sch i l l er 1983 398)

--Di sposal of and uses for harvested hydri l l a ( Bagnal l et AI 1978 18

Sabol 1987 37)

--Harvest i ng effects on aquat i c fl ora and fauna (Mi kol 1985 41 Wi l e

1978 57 N i chol s 1974 115 Wi l e 1975 135 Schramm et AI 1985

212 Lesl i e and Kobyl i nsk i 1985 255)

- - Economi c s of mechani cal harvest i ng (McGhehee 1979 57)

- - Phys i cal propert i es of hydri l l a for harvesti ng ( Bagnal l 1980 59)

SUMMARY

Most of the stud i es address the effects of mechan i cal ly harvest i ng

aquat i c pl ants Bol e and Al l an (1978) report that the harvest i ng of

Hydr i l la vert i c illata woul d result i n the d i rect transfer of onl y a smal l

amount of phosphorus i n the soi l i nto the water and the organ i cal l y-bound

phosphorus removed i n harvested pl ants woul d be deri ved l argely from the

sed i ment and not the water body W i l e (1978) and Neel n AI (1973)

present data and anal yses on l ake nutri ent dynam i cs resul t i ng from

harvest i ng aquat i c pl ants W i l e (1978) al so presents data on al gae

phytopl an kton fi sh and water qual i ty changes

A number of other stud i es address harvest i ng affects on fl ora and

fauna Mi kol (1985) reports that harvest i ng pl ants al so removed from 2-

8 of the total stand i ng crop of juven i l e fi sh Lesl i e and Kobyl i ns ki

(1985) address benth i c macro i nvertebrate response to aquat i c vegetat i on

removal wh il e Sabol (1087) addresses the env i ronmental effects of aquat i c

d i sposal o f chopped hydr i l l a

2-10

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

Compar i sons of mechan i cal harvest i ng and herbi c i des address

phosphorus cycl i ng (Carpenter and Adams 1 978) and Smal l et Jl ( 1 985)

report that herbi c i des reduced aquat i c vegetat i on but d i d not el i mi nate

i t Us i ng grass carp as bi ol og i cal control s el im i nated or red uced the

vegetat i on depend i ng on the stocki ng rat i o ( Smal l et AI 1985 )

2-11

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on Hydrjlla vertic11l ata

Entri es i n B i bl i ography 37

Spec i fi c stud i es on hydri l l a i n Lake Okeechobee i ncl ude a

compari son of dens i ty data for Lake Okeechobee and three other areas of

Fl ori da wi th stud i es spec i fi c to the speci a l i zed reproducti ve structures

of hydri l l a (Sutton and Port i er 1985 53) and an ana lys i s of potass i um

n i trogen and phosphorus content i n hydri 11 a from Lake Okeechobee and

three other areas of Sout h Fl ori da ( Sutton and Porti er 1983 56)

Pl ants from Lake Okeechobee had the h i ghest concentrat i on s of each

Other types of stud i e s on hydri l l anoted

--Phys i cal and mechani cal propert i es of hydri l l a (Bagnal l 1980

59)

--Nutri ent uptake stud i es of hydri l l a (Bol e and Al l an 1978 15)

--Us i ng hydri l l a for s i l age ( Bagnal l et Al 1978 18)

--Methods for determi n i ng or est i mat i ng pl ant biomass (Maceina et

li 1984 33)

--Growth reproduct i on and l i fe hi story of hydril l a ( Langel and and

Sutto 1980 35 Bruner and Batterson 1984 43 Spencer et li 1987

48 Sutton 1982 52)

--Habi tat i mportance and ecol ogy of hydril l a communit i es and

al terations to hydril l a communities (Watkins et li 1983 45middot

Bowes et

li 1979 47 Bl ackburn et li 1968 128 Sutton and Vandiver 1986

139 Can f i el d n Al 1983 265 Mace i na and Sh i reman 1982 281

R i chard i1 Al 1985 396)

--Biol ogical control s of hyd ri l l a (Bal ciunas and Minno 1985 46

Bal ciunas 1985 116 Johnston et li 1983 36 Cas sani and Caton

1985 352)

--Mechanical control s of hydril l a (McGhehee 1979 57)

--Chemical control of hydri l l a (Martin 1983 146 Cassani and

Caton 1985 352 Frank et li 1979 365 Hughes 1974 378 Small et

Al 1985 404 Steward 1972 405 Steward 1982 406 Steward 1976

407 Steward 1987 408 Van 1985 419 Van et Al 1987 420)

2-12

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

SUMMARY

Most of the stud i es deal w ith ways to control Hydr i l l a

verticilJata as a nui sance weed The effects of harvest i ng Hydri l l a i s

frequent l y addressed wi th mi xed resul ts Bol e and Al l an ( 1978) report

that the harvest i ng of Hydri 1 1 a woul d resul t i n the d i rect transfer of

onl y a smal l amount of phosphorus in the so i l i nto the water and the

organ i cal ly-bound phosphorus removed i n the harvested pl ants woul d be

deri ved l argel y from the sed i ment and not the water body

Johnston g1 il ( 1 983 ) report on the recol oni zat i on of a smal l pond

wi th aquat i c vegetat i on where grass carp have been used to control

Hydrill a They demonstrate the feas i b i l i ty o f reduc i ng the compet i t i ve

advantage of Hydri l l a i n order to l l ow other spec i es to become

establ i shed but al so note that care must be exerc i sed i n sel ect i ng

repl acement spec i es Other aquat i c pl ants may grow as prol i fi cal l y as

the Hydri 1 1 a bei ng repl aced

Sabol ( 1 987) and Langel and and Sutton ( 1 980 ) report on the

regrowth of fragmented Hydri l 1 a w i th confl i ct i ng resul t s In f iel d

stud i es Sabol ( 1 987) tested the re -growth potent i al of chopped Hydri 1 1 a

and found that a very smal l port i on of fragments cou1 d produce new

g rowth Conversely Langel and and Sutton ( 1980 ) under control l ed

l aboratory and f i e l d cond i t i ons demonstrated that 40 of the pl ant

fragments wi th one or two nodes were capabl e of vegetat i ve reproduct i o n

Bagnal l 11 il ( 1984 ) eval uated the feas i b i l i ty o f us i ng Hydri l 1 a

for cattl e feed and Macei na 1 il ( 1 984 ) present a method for pred i cti ng

pl ant b i omass us i ng a record i ng fathometer

2-13

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on N ITROGEN

Entri es i n B i bl i ography 27

Types of stud i es noted

- - Land userunoff rel at i onsh i ps w i th nutri ents i ncl ud i ng n i trogen

( Feder i c o 1 977 3 )

- - Nutri ent i n fluences on aquat i c pl ants and phytopl ankton (Canfi el d et

li 1985 4 Can fi el d 1 983 5 Davi s 1980 20 Dav i s 1 982 27

P i eterse 1 984 42 Sutton and Port i er 1 983 56 Bl ac kburn et il

1 968 1 28 Reddy and DeBus k 1 985 13 2 Jones and Federi co 1 984 1 )

- - Water qual i ty stud i es that i ncl ude nitrogen parameters ( Lutz 1 977a

7 Lutz 1 977b 16 M i l ler 1 980 20 Mi l l er et li 1982 26 Dav i s

and Marshal l 1 975 65 Peverl y and Johnson 1 979 394 Jones 1 983

9 )

- - Nutri ent rel at i onsh i ps w i th the troph i c structure of l akes (Henri kson

11 il 1 980 32 Dye 11 il 1975 138)

- - N i trogen and other water qual i ty data for Lake Okeechobee ( Di c kson et

li 1978 66 Davi s and Marshal l 1975 65 Federi co g1 li 1981 67

Fre i betger 1972 69 Mi l l er 1975 70 Jones and Federi co 1984 1

Jones 1 983 9)

- -N i t rogen i nputs and l ake eutroph i cat i on ( Sch i ndl er 197 1 13 1

Feder i co et il 1981 67 Canfi el d 1 983 5 )

- -Den i tri ficat i on i n Lake Okeechobee (Messer et li 1979 1 43 Messer

and Brezon i c 1 984 1 58)

- -Geochemi cal exchanges across the sed i ment -water i nterface ( Burton et

il 1975 1 45 Messer and Brezon i c 1984 158 )

- -Model s pred i ct i ng n i t rogen concentrat i ons (Jones 1983 9 )

SUMMARY

Several stud i es prov i de data on n i trogen for Lake Okeechobee

(M i l l er 1 980 20 Di c kson et li 1978 66 ) Many of these prov ide

n i trogen data as part of l arger studies for i nstance Federi co et li

( 1981 67 ) summari ze seven years of water qual i ty data i n order to

ident i fy annual and seasonal trends cal cu l ate annual budgets and assess

2-14

Produced by Mote Marine Laboratory for South Florida Water Management District

the troph i c state of the l ake Two stud ies ( Fre i berger 1 972 69

Mi l l er 1 97 5 70) i ncl ude lake Okeechobee as part of l arger wet and dry

season nutri ent surveys of South Fl ori d a

Jones ( 1 983 9 ) eval uates the qual i ty o f d i scharges t o Lake

Okeechobee nutr i ent concentrat i ons affects of var i ous changes i n l ake

l evel s and the abi l i ty of var i ous model s to accuratel y pred i ct n i trogen

and phosphorus concentrat i ons Jones and Federi co ( 1984 I) al so apply

nutr i ent model smiddot to Lake Okeechobee Dav i s and Marshal l ( 1 975 65)

present i nformat i on on areal and seasonal vari at i on s of n i trogen l evel s

nutri ent l oad i ngs and budgets for Lake Okeechobee and other chemi stry

d ata

Sutton and Port i er ( 1 983 56) eval uate the potass i um n i trogen

and phosphorus content of Hydri l l a from fi ve l ocat i on s i n South F l ori da

Sampl es were eval uated for wi th i n 1 ocat i on vari abi l i ty and for between

l ocat i on vari abi l i ty and resul ts showed that pl ants from lake Okeechobee

had h i gher concentrat i ons of nutri ents than pl ants from other areas

2-15

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHOSPHORUS

Entr ies i n Bi bl i ography 135

Phosphorus stud i es speci fi c to Lake Okeechobee i ncl ude

- -An anal ys i s o f the effect o f reduced nutri ent l oad i ngs on Lake

Okeechobe chl orophyl l (Jones and Feder i co 1984 )

- -An eval u at i on of the qual i ty of d i scharges to l ake nutri ent

concentrat i on s (Jones 1983 )

- -An analys i s of the abi l i ty of vari ous model s to accurately pred i ct

phosphorus concentrat i on s (Jones 1983 )

- -A comp ari son of phosphorus content i n hydri l l a from Lake Okeechobee and

four other l ocat i ons (Sutton and Porter 1 983 )

- -Aer i a 1 and seasonal vari at i ons of phosphoru s 1 eve 1 s i n Lake Okeechobee

(Davi s and Marshal l 1975 )

-A survey of total ortho p l us aci d - hydrol yzabl e phosphorus ( P- P04)

dur i ng a peri od of h igh water and a peri od of l ow water at 1 1 stat i on s i n

Lake Okeechobee and several stat i ons el sewhere i n South Fl or1 da

(Fre i berger 1972 )

- -An anal ys i s of l i mi t i ng factors based on al gal assays on water sampl es

from 30 s i tes i n the Ki s s i mmee R i ver- Lake Okeechobee Bas i n (Dye tl AI

1 975 )

- - Stud i es on nutri ent exchange across the sed i ment-water i nterface

(Burton et il 1975 )

Add i t i onal l y spec i fi c phosphorus d ata for Lake Okeechobee and i t s

watershed are presented i n a number o f reports (Jones and Feder i co 1984

Jones 1983 Mil l er 1980 Davi s and Marshal l 1975 Fre i berger 1 972

Messer et il 1 979 Dye et il 1975 Burton et Al 1975 Lee and Jones

1975 Lutz 1 977 Mi l l er et il 1982 Di ckson et Al 1978 M i l l er 1975)

Regard i ng management pl an s for phosphorus l evel s t he Lake

Okeechobee Techni cal Commi ttee ( 1 986 ) recommended to reduce phosphorus

l oads by at l east 40 (based on the mod i fi ed Vol l enwe i der nutri ent

l oad i ng model s ) through a program of d i vers i ons and treatment

2-16

Produced by Mote Marine Laboratory for South Florida Water Management District

Stud i es out s i de the lake Okeechobee area wh i ch prov i de i nformat i on

val uabl e to the study of phosphorus i ncl ude

- - Uptake of phosphorus from sed i ment and the water col umn by pl ants ( Bol e

and Al l an 1978 Dav i s 1984 Dav i s 1982 Reddy and DeBus k 1985 Dav i s

and Harri s n d li i1 Al 1974)

- -The i nfl uence of 1 and use patterns and other control s on phosphorus

l evel s ( Federi co 1977 Mi chal ski i1 Al 1975)

- -The correl at ion of nutri ent l evel s w i th chl orophyl l and phytopl ankton

l evel s ( Canfi el d i1 Al 1985 )

- - I ndexi ng and model l i ng techn i ques for l akes us i ng phosphorus and

rel ated data ( Carl son 1977 Canfi el d 1983 Meri cas and Mal one 1984)

- - Data on removal of phosphorus by mechan i ca l l y harvest i ng pl ants

( Carpenter and Adams 1978 Wi l e 1978 )

- -Rel ati on sh i p between nutri ents and b i ol og i cal parameters ( Henri kson g1

Al 1980 Pi eterse 1984 Enn i s 197 5 Re i nertsen 1 986 )

- - Phosphorussed i ment i nteract i ons (Twi nch and Peters 1984 li et li

1 97 1

- -laboratory and other control l ed stud i es on the propert i es of phosphorus

( Shannon and lee 1966 li et li 197 1 )

--Other l i terature stud i es ( Sch i ndl er et Al 197 1 )

2-17

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHYTOPLANKTON

Entr i es i n B i bl i ography 8

Types of stud i es noted

- - Phytopl ankton stud i es for Lake Okeechobee (Marshal l 1977 1 2 Dav i s

and Marshal l 1975 65 Marshal l 1977 424 Jones and Federi co 1 984

1 )

- - Phytopl anktonnutri entl ake eutroph i cat i on rel at i onsh i ps (Canfi el d et

AI 1985 4 Sch i ndl er 1971 13 1 Hughes and McCol l 1 980 377 Jones

and Federi co 1 984 1 )

- - Phytopl ankton pri mary producti on methodol ogy ( Schearer et AI 1985

278)

--Phytopl ankton responses to aquat i c pl ant removal (R i chard et AI 1985

426)

SUMMARY

Dav i s and Marshal l ( 1975 65) present 2 - 12 years of

phytopl an kton dens i ty data for Lake Okeechobee as wel l as i nformat i on on

n i trogn and phosphorus l evel s ( areal and season al vari at i on s ) pri mary

product i v i ty changes in al gal popul at i on s nutr i ent l oad ings and

budgets ra i n fal l chemi stry dat a regress i on anal yses on bi ol og i cal

act i v i ty and chemi cal or phys i cal propert i e s and trophic state

Marshal l s ( 1 977 1 2 ) phytopl ankton dens i ty data for 1974 show peaks i n

May and September i n Lake Okeechobee Marshal l concl udes that Lake

Okeechobee exh i b i t s seasonal patterns and peri od i c i ty typ i cal of

temperate l akes al though the seasonal vari at i on i n den s i t i es i s typi cal

of a trop i cal l ake

Jones and Federi co ( 1984 1 ) present over four years of d ata on

chl orophyl l a pri mary product i v i ty phytopl ankton dens i t i es and domi nant

species They al so an al yze the effect of reduced nutri ent l oad i ng s on

L a ke Okeechobee chl orophyl l and concl ude that chl orophyl l and

product i v i ty l evel s have not changed substanti al l y dur i ng the study

peri od except that peak val ues were h i gher i n 1981

2-18

Produced by Mote Marine Laboratory for South Florida Water Management District

Canfi el d n li ( 1985 4) col l ected data from 165 Fl ori da l akes

and reported a s i gn i fi cant correl at i on between chl orophyl l a

concentrat i ons and phytopl ankton bi omass Mul t i pl e repress i on anal yses

i nd i cated that phytopl ankton bi omass was dependent on both the total

phosphorus and total n i trogen concentrati on Nutri ent-phytopl ankton and

Secch i - phytopl ankton rel ati onsh i ps for the Fl orida l akes had h i gher

coeffi c i ents of determi nat i on i f chl orophyl l a concentrat i ons rather than

bi omass data were used

2-19

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fa ct Sheet on PRIMARY PRODUCTIVITY

Entries in Bibl iography 11

Types of studies noted

- -General ecol ogy studies incl uding primary productivity (Fontaine and

Ewe l 1981 31)

- -Trophic studies of l akes (Henrikson it 11 1980 32)

--Nutrient infl uences on primary productivity (Davis and Harris no date

141)

- -Primary production methodol ogy (Shearer l1 11 1985 278)

--Primary production data in Fl orida (Odum 1974 169 Brezonic et 11

1979 155 Jones and Federico 1984 1 Davis and Marshal 1975 65

Marshal l 1974 424)

- -Seasonal primary productivi ty cycl es (Comita 1985 1195 Marshal l

1974 424)

SUMMARY

Severa 1 stud i es concern primary production in Lake Okeechobee

Brezonjc l1 11 (1979 155) report to the Fl orida Sugar Cane League on

factors affect i ng primary product ion n Lake Okeechobee Jones and

Federico (1984 1) present primary productivity data on Lake Okeechobee

for 1974-76 and 1979-82 as wel l as information on chl orophyl l a

phytop 1 ankton dens i ties and domi nant spec 1 es and an anal ys s of the

effect of reduced nutrient l oadings Their report concl udes that

ch l orophyl l and productivity l evel s have not c hanged substantial l y during

the study period except for peak val ues that were higher in 1981 and

overal l val ues were higher In the Lake s north end Marshal l (1974

424) add resses seasonal changes for primary productivity and

phytopl ankton He concl udes that considering primary productivity and

other factors Lake Okeechobee phytopl ankton dynamics resembl e temperate

l akes Davis and Marshal l (1975 65) present over two years of data on

chemical and biol ogical investigations of Lake Okeechobee incl uding

primary productivity

2-20

Produced by Mote Marine Laboratory for South Florida Water ManaQement District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet o n SED IMENTS

E ntr i es i n B i bl i ography 21

Types of stud i es noted

Most of the stud i es i nvol ve sedi ment nutr i ent ava i l abi l i ty fl uxes

and uptake by pl ants These i ncl ude reports on

-- Laboratory experiments to determi ne phosphorus uptake from the

sed i ments by Myri ophyl l ym and Hydri l l a ( Bol e and Al l an 1978 1 5 )

- - Phosphate exchange i n l ake sed i ments (Twi nch and Peters 1984 295 L i

et l 197 1 1 49 li Al 1973 )

- -Ava i l ab i l i ty of sedi ment phosphorus for macrophytes ( L i et l 1974

108)

- - Phosphorus fl uxes i n south Fl ori da marshes (Dav i s and Harri s no date

143 )

- -The i mportance of den i tr i fi cati on i n lake Okeechobee (Messer et l

1979 1 43 )

- -Geochemi cal exchanges across the sed i ment -water i nterface i n the

Ki s s i mmee Ri ver- Lake Okeechobee watershed ( Burton g1 l 1975 145)

- - lak sed i ment den i tri f i cat ion model s (Messer and Brezon i c 1 984 1 58)

There are al so a number of stud i es concern i ng the rel at i onsh i p of

sedi ment type and other factors to pl ant growth ( Bruner and Batterson

1984 43 Mart i n 1983 146 Barko et il 1983 147 Engel and

N i chol s 1 984 44 Barko and Smart 1986 106) pest i c i de and other

chemi cal res i dues i n sedi ments ( Pfeuffer 1985 298 Hughes and McCol l

1980 377 S i ms i man and Chesters 1976 402 )

SUMMARY

BUrton et l ( l979) documents the rol e of sed i ments i n determi n i ng

water qual i ty i n the Ki s s immee Ri ver-lake Okeechobee watershed wi th an

emphas i s on nutri ent exchange across the sed i ment -water i nterface They

a l so prov ide survey i nformat i on on sediment d i str i but i on and transport

Mes ser et l ( 1979) summari zes the i mportance of den i tr if i cat i on i n lake

Okeechobee i ncl ud i ng a d i scuss i on on the rol e of sedi ments i n the

2-21

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

den i tr i fi cat i on process

eval uat i on o f l ake sed i ment

Lake Okeechobee

Messer and Brezon i c ( 1 984 ) present an

den i tri fi cat i on model s and i ncl ude data from

Dav i s and Harri s ( n d ) provi de est i mates of phosphorus fl uxes

wh i ch d i rectly contri bute to uptake through pl ant growth and to retent i on

through pl ant detri tus sed i mentat i on for the Evergl ades Conservat i on Area

2

2-22

LAKE OKEECHOBEE LITERATURE REVIEW

LIST OF KEY WORDS

ABUNDANCE ( 2 ) ADSORPTION ( 2 ) AGE (1) AGRICULTURE (1) ALGAE (14) ALGAL BIOASSAY (1) ALGICIDES ( 2 ) ALKALI N I TY (1) ALKALOIDS (1) ALTERNANTHERA ( 2 ) ALTERNATHERA (1) AMMONIA (1) AMPH I PODS (1) ANALYSIS OF COVARIANCE (1) ANIMAL BEHAVIOR (1) ANIMALS ( 2 ) AQUATHOL (1) AQUATIC PLANT CHEMISTRY (1) AQUATIC PLANTS (76) AQUATIC ORGANISMS ( 2 ) AQUATIC ( 1 ) AQUIFER ( 2 ) ARGULUS ( 1 ) ARTHROPODS ( 1 ) ATHERINE FISH (1) BACKPUMPING ( 2 ) BACTERIA ( 3 ) BASS (18) BEACH HAB ITATS ( 2 ) BEHAVIOR ( 2 ) BENTHOS (9 ) BEST MANAGEMENT PRACTICES (1) B IOACCUMULATION (1) BIOASSAY (1) BIOLOGICAL CONTROL (8) BIOLOGY ( 6 ) BIOMASS (15) BIOTIC ASSESSMENT (1) BIOTYPES (1) BIRDS ( 2 ) BLACK CRAPPIE (19) BLACK BULLHEADS (1) BLUEGILL ( 1 2 ) BODY FORM ( 2 ) BREEDING (1) BROMAC I L (1) BROOK SILVERSIDE (1) CABOMBA (1)

2-23

CADDISFLIES (1) CADMIUM (1) CALLITRICHE (1) CALOOSAHATCHEE RIVER (5) CANALS ( 2 ) CARBON (1) CARBONATE ROCKS (1) CARBOXYLASE (1) CAREX (1) CATTAI LS (1) CATTLE FEED (1) CENTRARCHIDS (5) CERATOPHYLLUM (5) CHAIN PICKEREL ( 1 ) CHANN ELS ( 1 ) CHAOBORUS (1) CHARA ( 6 ) CHEMICAL CONTROL ( 66 ) CHEMISTRY (10) CHIRONOMID LARVAE (1) CHIRONOMIDS (1) CHLORIDE (4) CHLORINATED HYDROCARBONS (1) CHLOROPHYLL (11) CLADIUM ( 2 ) CLASSIFICATION (1) COEFFICIENT OF DETERMINATION (1) COMMERCIAL FISHERY (2 ) COMMUNI TIES (1) COMMUNITY STRUCTURE ( 7 ) COMPETITION ( 3 ) COMPOST (1) COMPUTER MODELS (1) CONFINING BEDS (1) CONTOUR MAPPING (1) CONTROLLED RELEASE (1) COPEPODS (1) COPPER ( 9 ) COPPER SULFATE (1) CORE SAMPLER (1) COST BENEFIT ANALYSIS (1) CRUSTACEANS ( 2 ) CTENOPHARYNGODON IDE (2 ) CULTURAL CONTROL ( 2 ) CYANATRYN (1) DALAPON (4) DEGRADATION ( 3 ) DEMOGRAPHY (1)

DENITRIFICATION (1) DENSITY (6) DESORPTION (1) DETENTIONRETENTION ( 1 ) DETRITUS (1) DEVELOPMENT (2) DIATOMS (1) DICHLOBENIL (2) DIPOTASSIUM ENDOTHAL ( 1 ) DIQUAT (89) DISCHARGE ( 1 ) DISPERS ION (1) DISSOLVED OXYGEN (14) DISSO LVED SOLIDS (2) DISTRIBUTION (16) DIURNAL (1) DRAINAGE (4) DREDGING (1) DYSTROPHIC (1) EARLY DEVELOPMENT (2) ECOLOGY (15) ECONOMIC ANALYSIS (1) ECONOMICS (1) ECOSYSTEM (1) EFFLUENT REDUCTION (1) EFFLUENT (1) EGERIA (6) EICHHORNIA (13) ELODEA (20) EMBRYO ( 1 ) ENDOTHAL-POTASSIUM ( 1 ) ENDOTHALL (20) ENTRAINMENT (2) EPIPHYTES (1) EUTROPHICATION (12) EVERGLADES ( 9 ) EVERGLADES COUNTY (1) EXOGENOUS FEEDING (2) EXPLORATION (2) FAUNA (2) FEEDING ( 9 ) FEEDING RELATIONSHIPS (2) FENAC (5) FIRST YEAR SURVIVAL ( 1 ) FISH (130) FLOOD CONTROL (1) FLOODING ( 1 ) FLORIDA (31) FLORIDA EVERGLADES (1) FLORIDA LAKES (4) FLORIDA DUCK (1) FLORIDAN AQUIFER (2)

2-24

F LOW RATES (1) F LURIDONE (9) FOOD CHA I NS (1) FOOD HABITS (2) FOOD (6) FORAGE ( 1 ) FORAGING ( 1 ) FREQUENCY ANALYSIS (1) FRESHWATER SPECIES (1) FRESHWATER DISCHARGE ( 1 ) FRESHWATER (27) FRESHWATER MARSH (1) GEOLOGY ( 9 ) GERMINATION (1) GIZZARD F I SH (1) GIZZARD SHAD (2) GLADES COUNTY (9) GLYPHOSATE ( 6 ) GRAPNEL SAMPLER (3) GRASS CARP (8 ) GREAT BRITAIN ( 6 ) GROUNDWATER (5) GROWTH (11) GROWTH INHIBITORS (1) HABITAT (2) HABITAT PARTITION ING (1) HARVESTING (7) HAUL SEINE ( 1 ) HENDRY COUNTY (9) HERBICIDES (47) HEXAZINONE ( 1 ) HIGHlANDS COUNTY (1) HISTORY (3) HOST SPECIFICITY (1) HYDRILLA (42) HYDROCARBONS (1) HYDROCOTYLE (1) HYDROGEOLOGY (2) HYDROLOGY (17) HYDROPERIOD CHANGES (1) HYGROPHILA (1) HYPERmiddotEUTROPHIC (1) ICHTHYOFAUNA (1) ICHTHYOPLANKTON (2) IDENTIFICATION KEY (1) IDENTIFICATION GUIDE (10) IMAZAPYR (1) IMPOUNDMENTS (3) IMPROVING CATCH (1) INDICATOR SPECIES (1) INORGANIC PHOSPHATE (1) INSECT CONTROL (1)

INSECTS (4) INVERTEBRATES (9) IRON (2) IRON CHELATE (1) IRR IGAT ION (2) ISOPODS (1) JASM INE (1) JUNCUS (2) JUVEN ILE F ISH (5) K ISS IMMEE R IVER (11) LABORATORY STUD IES (1) LAGAROS I PHON (3) LAKE LEVELS (2) LAKE WANAKA (1) LAKE CONWAY (1) LAKE OKEECHOBEE (89) LAKE DRAWDOWN (1) LAKES (75) LAND USE (6) LARGEMOUTH BASS (16) LARVAE (1) LARVAL F ISH (25) LEAF PRODUCTION (1) LEMNA (8 ) LEPOMIS (1) L IFE HISTORY ( 9 ) L IGHT INTENSITY (1) L IGHT TRAPS (1) L IMNOLOGY (2) LI MNO PH I LA (1) L ITERATURE SURVEY (5) L ITHOLOG IC ANALYSIS (3) L ITTORAL (12) L ITTORAL ZONE (9) LOTAC (3) MACRO INVERTEBRATES (12) MACROPHYTES (18) MANAGEMENT PLAN (3) MANGANESE (3) MARION COUNTY (3) MARSH PLANTS (3) MARTIN COUNTY (27) MASS BALANCE MODEL (3) MATERIAL BUDGET (3) MATHEMAT ICAL MODELLING (3) MATHEMATICAL MODELS (3) MECHAN ICAL CONTROL (15) MECHANICAL HARVEST ING (24) METHODS ( 9 ) M ICROBES (3) MICROPTERUS (6) MINERAL RETENTION (3)

2-25

MINERAL ADSORPTION (3) M INERAL NUTRITION (3) MINERALIZATION (3) M ISS ISSI PPI S ILVERSIDE (3) MODELING (6) MODELS (12) MOLLUSKS (3) MONITOR ING (15) MORPHOLOGY (3) MORTALITY (12) MOTHS (3) MOWING (3) MYOMERE NUMBERS (3) MYR IOPHYLLUM (84) MYSIDS (3) NAIDIDAE (3) NAJAS (18) NEKTON (3) NEMATODES (3) NEOCHETINA (6) NETS (6) N ICKEL (3) N ITRATES (3) N ITROGEN (81) NORTHERN P IKE (3) NUPHAR ( 9 ) NUTR IENTS (141) OCALA GROUP (3) OKEECHOBEE COUNTY (33) OKLAWAHA R IVER (3) OL IGOCHAETES (3) OLIGOTHROPHIC (6) ORANGE LAKE (3) ORGANIC MATTER (3) OSCEOLA COUNTY (3) OXYGEN (9) PALAEOLIMNOLOGY (3) PALM BEACH COUNTY (30) PAN ICUM (67) PARAQUAT (39) PARTICULATE MATTER (3) PASPALUM (3) PATHOGENS (3) PERI PHYTON (3) PERSISTENCE (9) PESTICIDES (27) PH ( 9 ) PHOSPHATE (15) PHOSPHORUS (135) PHOTOSYNTHES IS (12) PHYS IOLOGY (12) PHYTOPLANKTON (27)

PHYTOTOXICITY (3) PIKE (3) PISCIVOROUS FISH ( 6 ) PISTIA (15) PLANKTON (15) PLANNING (3) PLANT SUCCESSION (9) PLANT HARVESTING (9) PLANT ABUNDANCE ( 6 ) PLANT DENSITY (3) PLANT COMMUNITIES (9) PLANT SURVEY TECHNIQUES (9) PLANT COMPOSITION (9) PLANT NUTRITION (3) PLANT GROWTH ( 6 ) PLANT BIOMASS (3) POLLUTION (3) POLLUTION CONTROL (3) POLYCHAETES (3) POLYMER ( 6 ) POMACEA (3) POHOXIS ( 6 ) PONAR GRAB SAMPLER (9) PONDS ( 6 ) POPULATION DYNAMICS (9) POPULATION (21) POTAMOGETON (57) POTASSIUM (9) PREDATION (3) PREDATOR - PREY (15) PRIMARY PRODUCTION (36 ) PROPAGU1ES (3) PUMP STATIONS (3) PUMPING (3) RADAR (3) RADIOPHOSPHORUS (3) RAINFALL (18) RANUNCULUS ( 6 ) RATS (3) RECLAMATION ( 3 ) RECORDING FATHOMETER (3) RECRUITMENT (3) REDBREAST SUNFISH (3) REDEAR SUNFISH (3) REFERENCES (3) REGRESSION ANALYSIS (15) RELEASE RATES (3) REMOTE SENSING (3) REPRODUCTION (12) RESERVOIRS (51) RESIDUES (27) RESOURCE PARTITIONING (9)

2-26

RESPIRATION (3) REVIEW (3) RIVERS (42) RUNOFF (33) SAGITTARIA (3 ) SALVINIA (18) SAMPLING (15) SAMPLING METHODS ( 6 ) SAMPLING GEAR (3) SCIRPUS (3) SEA LEVEL RISE (3) SEASONAL EFFECTS (12) SEASONAL SUCCESSION (3 ) SEASONAL (9) SECCHI DISK (9) SEDIMENTARY ROCKS (3 ) SEDIMENTS (78) SEEPAGE (12) SEWAGE DISCHARGES (3) SHAD (15) SHINERS (3) SHOREFLIES (3) SHORELINE AREAS (3 ) SILICA (3) SILICON (3) SIZE CLASS ( 6 ) SNAILS (3) SODIUM ALGINATE ( 6 ) SODIUM (3) SOILS (9) SOUTH FLORIDA (24) SPARGANIUM (3 ) SPAWNING (21) SPECIES DIVERSITY (3 ) SPECIES COMPOSITION (3 ) SPECIFIC CONDUCTANCE (15) SPOTTED BASS (3 ) ST LUCIE ESTUARY (3 ) ST JOHNS RIVER (3 ) ST LUCIE COUNTY (3 ) STANDING CROP (15) STOCHASTIC LAKE MODELS (3 ) STORHWATER (3) STRATIGRAPHY ( 6 ) STREAMS (9) SUNFISH (18) SURFACE DISCHARGES (3) SURFACE WATER (21) SURFACTANTS ( 6 ) SURVIVAL ( 3 ) SUSPENDED SOLIDS (3 ) SWIM PROGRAM ( 3)

TAYLOR CREEK (6) TAYLOR CREEK WATERSHED (3) TEMPERATURE (9) TENNESSEE (6) TERRESTRIAL (6) THREADFIN SHAD (15) TILAPIA (3) TOXICITY (36) TRACE METALS (3) TRANSMISSIBILITY (3) TRANSPARENCY (6) TROPHIC STRUCTURE (30) TUBER PRODUCTION (3) TUBER DENSITY (3) TURBIDITY (12) TURION (9) TYPHA (9) UPPER TAYLOR CREEK (3) USGS (3) UTILIZATION (3) UTRICULARIA (3) VALLISNERIA (15) VAUCHERIA (3) VEGETATED HABITATS (3) VEGETATION (15) VEGETATIVE PROPAGULES (3) VEGETATIVE REPRODUCTION (6) VELOCITY (3) VERTEBRATES (3) WASTELOAD ALLOCATION (6) WASTEWATER TREATMENT (6) WASTEWATER (3) WATER SUPPLY (12) WATER RECYCLING (3) WATER LEVELS (6) WATER CONSERVATION AREA 2A (3) WATER CHEMISTRY (21) WATER QUALITY (Ill) WATER MANAGEMENT (6) WATER LEVEL (9) WATER CIRCULATION (3) WATER BUDGET (3) WATERSHED ANALYSIS (3) WEIGHT DISTRIBUTION (3) WEIR BOX (3) WET AND DRY SEASON (9) WETLANDS (9) WHITE CRAPPIE (6) WILDLIFE (3) WITHLACOOCHEE RIVER (6) WOLFFIA (3) XYLENE (6)

2-27

ZINC (3) ZOOLOGY (3) ZOOPLANKTON (21)

I I I BIOMASS - M ID-COURSE SUMMARY

I I I A INTRODUCT ION

The experimental removal of Hydr i l l a vert i c i 1 1 ata R i s bei ng

conducted to prov ide removal of nutr i ents phosphorus i n part icul ar from

Lake Okeechobee as wel l as the anc i l l ary benefi ts of i ncreased fi sh

hab i tat and nav igat i onal acces s To determi ne benefi ts and costs of

removal an i ndependent est i mate of both b i omass and nutri ent content of

vert i ci l l ata has been conducted

The bi omass sampl i ng effort was conducted i n August 1987 and was

compl eted pri or to the actual harvest i ng Stat i ons were concentrated i n

the area of the Hydri l l a mat but some non -Hydr i 1 1 a spec i es were al so

col l ected Sampl i ng l ocat i ons were sel ected on the bas i s of qual i tat i ve

cl ass i ficati ons of Hydri l l a growth character i s t ics

Based on fi e l d reconna i ssance i n Aprll and Ju l y 1987 a

s ubstant i al amount of spati al nonhomogene i ty i n both weed dens i ty and

spec i es compos i t i on was observed throughout the proposed s tudy s i te A

vari ety of env i ronmental factors such as substrate compos i t i on water

qual i ty and to a l es ser degree l i ght penetrat i on and water depth may

have been respons i bl e for these observed d i fferences Any past

appl icat i on and poss i bl e res i dual effects of weed control herb ic i des may

al so be contr i buti ng envi ronmental factors As growth character i st ics

w i th i n th i s area were not un i form i t was assumed un l i ke ly that nutri ent

content was evenly d i stri buted To quanti fy these area -wi de var i ati ons

a s ampl i ng scheme emphas iz i ng the range of Hydril l a growth cond i t i ons was

des i gned

III B MATER IALS AND METHODS

I I I B 1 Sampl e Col l ecti on

Prec i s i on measurement of Hydri l l a bi omass i s h igh l y dependent upon

the representat i veness of the sampl es as wel l as evenness of growth

character i st ics wi thi n the study s i te As di fferences i n dens i ty had

3 - 1

been observed duri ng reconnai ssance surveys fi ve Hydri l l a cond i t i on

factors were establ i shed ( see Tabl e 3 1 ) Stat i ons were apport i oned

among these fi ve categor i es rat i ng sel ected s i tes accord i ng to these

cond i t i on factors to i nsure that comparabl e representat i ve sampl es were

col l ected

As a resul t fi fteen ( 1 5 ) stat i ons were establ i shed wi th i n the

weed harvest i ng area ( Fi gure 3 1 ) Sampl i ng l ocat i ons were fi xed and

recorded i n the fi e l d us i ng Loran C (Apel co model DXL -6000 ) Sampl e

col l ect i on at each stat i on con s i sted of three repl i cated cl i pped - pl ots of

Hydri l l a removed from wi thi n a 202Sm2 sampl i ng dev i ce pl aced on the

substrate The sampl i ng box was constructed of steel pl ate 3 mm th ick

The overal l des i gn was s imi l ar to that descri bed by Mart i n and Sherman

( 1979 ) The top of the box however was covered by a d i amond pattern

screen wi th an attached hook to fac i l i tate l i ft i ng the sampl er wh i ch

contai ned the Hydr i l l a sampl e i nto the boat

The sampl er was l owered to the substrate and the Hydri l l a adjacent

to the edge of the box was cut by the d i ver wi th a kn i fe The bottom

sl i d i ng pl ate was then i nserted to conta i n the Hydri l l a sampl e and the

sampl er was then retri eved to the surface

Onl y the above- substrate port i ons of the pl ant were col l ected

s i nce thi s was cons i dered to be the port i on of the pl ant subject to

removal by the mechan i cal harvester Unconsol i d ated detri tal materi al

and roots were not col l ected Any non -Hydri J 1 a macrophytes col l ected

were separated from the Hydri l l a sampl es and treated as d i screte sampl es

Each l abel l ed repl i cate sampl e was we i ghed separatel y to the nearest gram

to determ i ne fresh wet we i ght s The i nd i v i dual repl i cates were then

i ced and shi pped to the l aboratory for dry we ight and nutr i ent content

analys i s

Add i t i onal fi el d procedures i ncl uded a near-fi el d and obl i que

photograph taken at each bi omass sampl i ng stat i on

3-2

I I I B 2 Anal yt i cal Methods

Percent mo i sture was determi ned on al l sampl es Sampl es were

dri ed at 103 - 1050C and the dri ed materi al was used i n n i trogen

phosphorus and potass i um anal yses A total of 52 sampl es were processed

(45 Hydri l l a and 7 non - Hydrjl l a fract i ons ) by MML Total Kjel dahl

n i t rogen and total phosphorus were analyzed from dri ed ground pl ant

materi al Methods ut i l i zed were from the AOAC Methods of Anal ysi s 13th

Ed i t i on 1980 Kjel dahl d i gesti on i n a bl ock d i gester of l ess than O lg

pl ant materi al was fol l owed by sampl e reconst i tut i on automated d i l ut i on

and col ori metri c determi nati on o f amon i a and phosphate by Techn i con

AutoAnal yzer II The resul tant n i trogen and phosphorus concentrat i ons

were converted to a dry we i ght basi s

Procedures for the potass i um anal ysi s are deri ved from the AOAC

Methods of Ana lys i s 13th Ed i t i on 1980 Less than 0 3g of dri ed ground

p l ant materi al was d i gested wi th n i tr ic and perchl ori c ac i ds d l l utjed

wi th 1+1 hydrochl ori c ac i d and anal yzed by atomi c adsorpt i on

1 1 1 B 3 Dat a Management

B i omass data col l ected duri ng thi s study was used to generate the

fol l ow i ng types of data

o Wet and dry wei ghts of Hydri l l a expressed as gm2

o Nutri ents [n i trogen ( N ) phosphorous ( P) potas s i um (K ) ]

per we i ght of Hydri l l a

I I I C I NTERMIM RESULTS - BIOMASS

I I I C l B IOMASS ANALYSIS

Monocul tures of Hydri l l a were present except at Stat i ons 1 2 5

9 and 13 At these fi ve l ocat i ons i nc i dental col l ect i ons of

Ceratoohyl l um sp were made I n i t i al process i ng of these sampl es

cons i sted of separat i ng Hydril l a and non -Hydri l l a spec i es and anal yzi ng

and eval uati ng each fract i on as a d i screte sampl e Once the eval uati on

3 -3

was compl eted b i omass val ues from both sets of sampl es were combi ned to

represent the overal l b i omass harvested from the study are a

B i omass val ues (dry we ights a l l spec i es combi ned ) ranged from

1 9 33 gm2 ( 02 kgm2 ) to 3 1 7 67 gmm2 (0 32 kgm2 ) (Tabl e 3 2 ) The

l ower b i omass val ues were found at stat i ons 1 and 2 wh i ch were nearshore

stat i ons The h i ghest b i omass general l y occurred at the stati ons l ocated

i n the central port i ons of the Hydri 1 1 a mat The range i n wet and dry

b i omass val ues wi th i n a confi dence i nterval of 1 plusmn standard dev i at i on

( SO ) are graph i cal l y presented i n F i gures 3 2 and 3 3 The cons iderabl e

var i at i on i n b i omass val ues among the stati ons i s rel ated to onshy

shoreoff-s hore d i fferences in stat i on l ocat i on and var i at i on in b i omass

maturi ty wh i ch i s descri bed by the prev i ous ly l i sted cond i t i on factors

rhe Hydri 1 1 a cond i t i on factors have been devel oped to prov ide an

i nd i cat i on of the vari abi l i ty of pl ant maturi ty and were used to prov ide

a prel i mi nary eval uati on of the rel ati onsh i p between pl ant maturi ty and

nutrient content The cond i t i on factors recorded at each stat i on dur i ng

b i omass sampl i ng are summari zed i n Tabl e 3 3

The Hydr i 1 1 a b i omass val ues for each sampl i ng stat i on were grouped

accord i ng to the i r respecti ve cond i t i on factor and pl otted ( F i gure 3 4 )

The resul ts of th i s group i ng dep i cts a cl ear pattern of the d i stri but i on

of b i omass versus p 1 ant maturi ty or cond i t i on factor The new growth

cond i t i ons (1 and 2) had the l owest mean bi omass val ues whi l e cond i t i on

4 (mature cond i t i on ) had the h i ghest val ue and cond i t i on 5 (senescence )

i nd i cated a decl i n i ng b i omass of the Hydri 1 1 a mat at the stati on

l ocat i ons The stat i ons sampl ed and the study area were pr i mari l y

con s idered to be represented by a mature growth cond i t i on duri ng the

August col l ecti on Cond i t i on factors ( pl ant maturi ty) are al so rel ated

to nutri ent content as i s subsequently d i scussed

A gross esti mate of b i omass i n terms of areal extent was projected

us i ng the wei ghtarea rat i o for each stat i on and then averag i ng the

rat i os It shoul d be noted however that stat i on sel ect i on for thi s

task was not random and stat i ons were del i beratel y chosen wh i ch

refl ected a range of growth cond i t i ons By the same l og i c l ocat i ons of

transects to be harvested were not random and were chosen i n an attempt

to sel ect maxi mum dens i t i es of Hydri l l a Wi th these qual i fi ers the

3 -4

average b i omass sampl ed ranged from l ess than 1 to over 14 tons per acre

and averaged 7 tonsacre Esti mates for tons of b i omass i n fres h both

wet and dry cond i ti ons al so appear i n Tabl e 3 2 The wet b i omass val ues

represent we ights of the pl ant materi al after surface water has been

removed from the pl ant by bl ott i ng wi th a dry med i um Because of t h i s

handl i ng procedure a d i rect compari son wi th the harvest contractor s

fi el d est i mates (of merely dra i ned materi al ) are not val i d s i nce the

water associ ated wi th the Hydri l 1 a cou l d add a con s i derabl e but unknown

amount to the esti mated total we ight

B iomass sampl i ng i n the study area has been l i mi ted to a s i ng l e

event and the resul t s of the samp l i ng effort do not refl ect seasonal

vari at i ons However Bowes et al ( 1 979) i nvest i g ated the seasonal

Hydri lJ a b i omass product i on of three Fl ori da l akes Lake Trafford

Orange and Jackson Thei r study i ndi cated that the t i me for seasonal

peaks i n bi omass vari ed wi th the southern most 1 ake Lake Trafford

produc i ng the max i mum Hydri l l a bi omass i n August wh i l e the more northern

l akes Orange and Jackson produced more Hydri l l a b i omass i n Novernber

I 1 I C 2 NUTRI ENT REMOVAL

Phosphorus content of Hydri 1 1 a and the potent i al for removi ng

phosphorus from the l ake system was the pri mary focus of the data

anal ys i s Secondary aspects were quant i fyi ng n i trogen and potass i um as

they rel ate to the overal l nutri ent content of the study area and

prov i d i ng i nformat i on for any poss i bl e uses for the harvested materi a l

Tabl e 3 4 summari zes the analyti cal data for bi omass sampl es

col l ected Hydri l l a and total b i omass are tabul ated separatel y s i nce

Hydri l J a i s the target spec i es of the harvest i ng program and i t compri ses

the majori ty of the pl ant materi al i n the study area Inter-spec i fi c

d i fferences i n pl ant chemi cal compos i t i on are al so reported by Boyd

( 1978) as the greatest source of vari at i on i n characteri zat i on stud i es of

aquat i c macrophytes

3 - 5

I I I C 2 1 Phosphorus

Total phosphorus ranged from 9 1 mgg to 2 68 mgg for al l spec i es

comb i ned and 91 mgg to 2 67 mgg for Hvdrill a only (Tabl e 3 4) The

comb i ned data wi th confidence i nterval s ( 1plusmn SO) are shown i n F i gure 3 5

The somewhat h i gher var i at i on i n phosphorus content at Stat i on s 2 5 9

and 13 i s est imated to occur as a resul t of the presence of non -Hvdri l l a

spec i e s at these l ocat i ons Therefore the presence of other spec i es i n

the sampl es ( i f not separated ) i s ant i c i pated to produce data that have a

greater vari abi l i ty and consequently are not as rel i abl e an est i mate of

nutri ent content as des i red for management dec i s i ons

Coeffi c i ents of var i at i on I n phosphorus content were cal cul ated

and pl otted by stat i on for comb i ned pl ants and for Hydr i l l a on l y ( F i gures

3 6 and 3 7) A compari son o f F i gures 3 6 and 3 7 however i ndi cates

that a rel at i vely smal l amount of the vari at i on observed can be

attri buted to the presence of two spec i es at a s i ngl e stat i on F i gure

3 7 demonstrates an i mportant con s iderat i on for any future sampl i ng and

asses sment effort s Sampl es o f Hydri l l a from the extremes of the

cond i t i on factors i e 1 and 5 produce data that may vary from 20 to

more than 30 i n est i mates of phosphorus content

The comb inat i on of cond i t i on factors and means for phos phorous

content at each stat i on i ndi cate a rel ati onsh i p between cond i t i on i e

re l at i ve maturi ty and phosphorus content ( F i gure 3 8) Stati ons wh i ch

cons i st pr imari ly of new pl ant growth (cond i t i on 1 ) contai n the l east

amount of phosphorus on a mgg (p l ant mater i al ) bas i s wh i l e stati on s

wi th pl ants that are descri bed as bei ng i n cond i t i on 4 (mature) have the

greatest amount of phosphorous A dec 1 i ne in phosphorus content al so

apparently accompan i es pl ant senescence

RegreSS i on anal ys i s was conducted to determ i ne the rel at i onsh i p

between b i omass and phosphorus content Because onl y one i ndependent

vari abl e (b i omas s ) was used i n the regress i on mode i t is necessary to

report only the resul ts of the two-tai l ed test u s i ng Student s t shy

stat i ons The nul l hypothes i s for the two -tai l ed test i s that there i s

no rel at i onsh i p between the dependent vari abl e and a spec i fi c i ndependent

vari abl e namel y bi omas s The t -stati st ic generated by the model

3-6

i nd i cated that b i omass s i gn i fi cantly effects phosphorus content at a 43

confidence l evel That i s there i s a 57 chance of i nd i cat i ng there i s

no rel ati onsh i p between b i omass and phosphorus i f the nul l hypothes i s i s

rejected

Add i t i onal stat i st i cal model i ng and an al ys i s i nd i cated that

b i omass at stati ons categori zed as Cond i t i on 4 were s i gn i fi cant ly rel ated

to phosphorous content at onl y a 75 confi dence l evel or a 25 chance

that a re 1 at i onshi p between b i omass and phosphorous content does not

exi st The h i gher confi dence l evel provi des some support for the use of

Hydrj 1 1 a cond i t i on factors part i cul arl y cond i t i on 4 for est i mat i ng the

nutri ent content of Hydri 1 1 a

To prov i de some prel i mi nary est i mates of potent i al phosphorous

removal rel ated to Hydri 1 1 a matur i ty each sampl i ng stat i on s phosphorous

we i ght to area rat i o was determi ned (Tabl e 3 5 ) These rat ios were then

averaged by cond i t i on factor The resu1 tant overal l phosphorus content

ranged from 16 1 bacre (cond i t i on 1 ) to 3 40 1 bacre (cond i t i on 4) and

dupl i cated the trend observed i n the b i omass data ( F i gure 3 4 )

The range of Hydri 1 1 a cond i t i ons factors and the presence o f other

macrophyte spec i es wi thi n the harvest area i nd i cates that further

defi n i t i on of the nutri ent removal est i mates are requ i red Th i s further

quant i fi cati on can be accompl i shed i n part through the use of aeri al

photographs The i nter im report by 15ampT ( 1 987 ) i nd i cates that sca1 ed

true col or and fa1 se col or i nfrared photographs of the study area have

been rout i ne1 y fl own Cop i es of these photographs and vegetat i on maps

wi 1 1 be requested from 15ampT The vegetati on maps produced from these

photographs by 15ampT wi l l be computer d i g i t i zed and acreage measurements

cal cul ated I t shoul d be noted that remote resource sens i ng techn i ques

part i cul arl y stud i es i nvol v i ng submerged pl ants have l i mi tati ons rel ated

primari l y to water depth and cl ari ty These 1 im i tati ons restri ct the

quant i ficat i on of i mmature Hydri 1 1 a represent i ng cond i t i on factors 1 and

2 because i t i s unl i ke1 y these p1 ants can be detected due to thei r

submerged cond i t i on Hydri ll a exh i bi t i ng cond i t i on factors 3 4 and 5

shoul d be v i s i bl e i n the l ate summer aeri al photographs as emergent mats

The fal se col or i nfrared aeri al photographs wi l l al so be anal yzed to

3 - 7

further separate the area i nto cond i t i on factors (3 4 and 5 ) These

refi ned est imates wi l l be i ncl uded in the fi nal report

An i ntegrated seasonal data base on nutri ent content of Hydri l l a

i n Lake Okeechobee i s l acki ng However recent data ( 1 5ampT 1988 )

i nd i cates there may be a pronounced seasonal d i fference i n t he chemi cal

compos i t i on of Hydrll l a from the l ake Hydri l l a sampl es col l ected by

15ampT duri ng January 1988 had phosphorus and n i trogen val ues that were

two to t hree t i mes h igher than the val ues reported for Aug ust 1987

(Tabl e 3 6 )

Spl i t sampl es anal yzed by the same l aboratory wh i ch prov i ded the

I SampT data provi ded veri fi cati on for the August phosphorus data reported

i n th i s study Therefore i t appears to be reasonabl e to assume that an

i ncrease i n Hydri l l a nutri ent content has occurred between August 1 987

and January 1988 The spec i fi c causes for th i s i ncrease are present ly

unknown but Federi co et al 1981 have suggested a nutri ent i nput

mechan i sm for the l ake based on l ake management W i th the fal lwi nter

i ncrease i n l ake surface area nutri ents conta i ned i n the l i ttoral zone

cou l d be transported l ake-ward by the fl ood i ng of the l i ttoral zone

Water qual i ty data from the present study does i n fact i nd i cate an

i ncrease i n i norgan i c phosphorus (P04- P ) from August 1 987 to January

1988 I t may be specul ated that i ncreased nutri ent avai l ab i l i ty may have

produced t h i s i ncrease i n Hydri l l a nutri ent content I t shoul d al so be

noted however that a seasonal i ncrease i n Hydri l l a phosphorus and

n i trogen content may occur i ndependent of any l ake management reg i me

Th i s seasonal vari at i on i n Hydri l l a nutri ent content has i mportant

rami fi cat i ons for any cont i nued or future harvest i ng programs I t al so

creates some add i t i onal quest i ons For exampl e i s th i s Hydri l l a

nutri ent i ncrease a l akewi de phenomenon or i s i t a near fi el d effect that

might be rel ated to the recent harvest i ng I f th i s i s a l akewide

i ncrease i n nutri ent content does it al so produce a correspond i ng

i ncrease i n bi omass so that phosphorus removal per acre cou l d be

max i mi zed I f th i s were true then the seasonal t i m i ng of any future

harvest i ng efforts need s to be careful l y cons i dered

Converse l y i f the wi nter i ncrease i n phosphorus content i s a near

fi el d effect rel ated to harvest i ng then perhaps harvest i ng des i gn i e

3 - 8

n umber and widths of harvested l anes needs to be re -exami ned and t i mi ng

of the harvest i ng may become l ess i mportant S i nce Hydri l l a i s a

n u i s ance spec i es al l prev i ous harvest i ng strateg i es have been a i med

toward weed el i mi nat i on for n av igat i onal purposes Because of th i s

nu i sance status management strateg i es have not been dev i sed or tested to

ut i l i ze Hydrj l l a as a nutri ent removal middotcrop middot For exampl e a seri es of

narrow but cl osely spaced cuts may be v i ewed as crop th i nn i ng wh i ch may

resul t i n greater nutri ent uptake by the adjacent unthi nned port i on of

the middotcrop middot Th i s act i on cou l d al so be coord i nated wi th n av i gat i onal

concerns and where appropri ate habi tat restorat i on or ma i ntenance

1 1 1 C 2 2 Ni trogen

As previ ous l y noted n i trogen has al so been eval uated as part of

the nutri ent analys i s N i trogen (TKN) ranged from 13 45 mgg to 26 34

mgg for al l spec i es combi ned and 13 45 mgg to 26 1 5 mgg for Hydri l l a

onl y (Tabl e 3 4) I ts d i stri but i on among stat i ons ( F i gure 3 9 ) fol l owed

the pattern prev i ousl y d i scussed for phosphorus Thi s pattern i ncl uded

the h i gh vari at i on attri buted to the presence of other spec i es ( F i gures

3 10 and 3 1 1 ) as wel l as the cond i t i on factornutri ent content

rel ati onsh i p of Hydri l l a ( F i gure 3 1 2 )

1 1 1 C 2 3 Potas s i um

The rema l n l ng nutri ent i ncl uded i n the anal ys i s was potass i um

wh i ch vari ed from 10 20 mgg to 26 28 mgg for al l spec i es combi ned and

10 20 mgg to 26 28 mgg for Hydri 1 1 a (Tabl e 3 4) Wi th several mi nor

except i ons potass i um content was a more vari abl e pl ant nutri ent than

e i ther phosphorus or n i trogen ( Fi gure 3 13 ) Thi s vari abi l i ty i n

potass i um content has al so been prev i ousl y reported by Sutton and Port i er

( 1983 )

A c o n s i d erabl e amou n t of the vari abi l i ty i n potas s i um

concentrat i ons was attri buted to the presence of other spec i es ( F i gures

3 1 4 and 3 1 5 ) but even when monocul tures of Hydri l l a are con s i dered a

h i gh amount of vari abi l i ty st i l l exi sts Kl opatek ( 1978) suggests that

3 - 9

vari at i on i n potass i um l evel s i n aquat i c macrophytes may refl ect h i gh

metabol i c demand duri ng the peri od of rap i d growth and that potass i um i s

not stored by pl ants s i nce th i s nutri ent i s read i l y avai l abl e from most

soi 1 s When grouped by cond i t i on factor the h i ghest potass i IJm contents

occurred i n the new or rapi d ly growi ng pl ants (cond i t i ons 1 2 and 3 )

( F i gure 2 - 1 6 ) Potass i um content decreases i n the l atter growth stages

assoc i ated wi th cond i t i on factors 4 and 5

I I I D CONCLUS IONS

The Hydri l l a b i omassnutri ent data anal yzed to date i nd i cates that

there are several important factors to be cons idered for future or

conti nued Hydri l l a harvest i ng programs

o Recogn i t i on and categori zati on of the rel ati ve maturi ty

state (cond i t i on factor) of the Hydri l l a mat i s i mportant

to sel ect sampl i ng l ocat i ons for nutri ent ana lys i s

o Anal ysi s of the nutri ent content of Hydri l l a i s most

preci se i e l owest sampl e vari at i on when col l ected from

areas of the mature mat The extremes of growth cond i t i on

new growth and senescence produced more vari abl e data

requ i ri ng l arger numbers of sampl es for rel i abl e mean

determi nat i ons

o Further testi ng of season a 1 d i fferences i n Hydri 1 1 a

nutri ent content and coup 1 i ng wi th harvest j ng-management

strateg i es cou l d s ign i ficantl y opt i m i ze the amount of

nutri ents removed through mechan i cal harvest i ng

I I I E RECOMMENDATIONS

Based on the data col l ected and anal yzed to date the fol l owi ng i s

the recommended course of act i on

Add i t i onal quant i tat i ve sampl i ng of Hydri l l a i n Lake Okeechobee i s

recommended Th i s add i t i onal sampl i ng effort shou l d be conducted at

3 - 10

1 ocat i ons both wi th i n the present study area as wel l as some 1 ocat i ons

out s i de of the study area Th i s general i zed pl an wi l l test for near

fi el d effects i e those effects that m ight be rel ated to harvest i ng

vs l akewi de effects Th i s sampl i ng effort shou l d be conducted quarterl y

to i nvest i gate the apparent seasonal changes i n Hydri l l a nutri ent

content Sampl i ng shou l d dupl i cate earl i er efforts and shou l d be

conducted at e i ght l ocat i on s four wi th i n and four outs i de of the present

study area

I I I F QUALITY ASSURANCE RESULTS

Tabl e 3 7 deta i l s the prec i s i on and accuracy of anal yt i cal resul ts

of dr i ed pl ant t i ssue Al l data were generated i n groups wi th

sat i sfactory qual i ty assurance cri teri a

3 - 1 1

LITERATURE CITED

Bowes G A S Hol aday W T Hal l er 1979 Seasonal vari ati on i n the b i omas s tuber dens i ty and photosynthet i c metabol i sm of Hydr i l l a i n three Fl ori d a l akes J Aquat i c Pl ant Mgt 17 61-65

Boyd C E 1978 Chemi cal Compos i t i on of Wetl and Pl ants IN Freshwater Ecol ogical Processes and Management Potenti al eds R E Good D F Wh i gham R L S i mpson C G Jackson J r Academi c Pres s N Y 378p

Freder i co A C K G D i c kson C R Kratzer F E Davi s 1981 Lake Okeechobee Water Qual i ty Stud i es and Eutroph i cat i on Assessment Techn i cal Publ i cati on 181-2 May 1981 Resource Pl ann i ng Department South Fl ori da Water Management D i stri c t West Pal m Beach FL 270pp + App

Kl opatek J M 1978 Nutri ent Dynami cs of Freshwater R i ver i ne Marshes and the Rol e of Emergent Macrophytes IN Freshwater Ecol og i cal Processes and Management Potent i al eds R E Good D F Wh i gham R L S i mpson C G Jackson Jr Academi c Press N Y 378p

ISampT 1987 Letter to Mr Ed Terczak dated Sep t 3 1987 Subj ect Chemi cal Anal yses resul ts of sampl es of Hydri l l a and mi crodeus

ISampT 1988 Letter to Mr Ed Terczak dated Jan 25 1988 Subj ect Compari son of nutri ent content i n Hydri l l a and water hyaci nth sampl es from the Demonstrat i on Project study area

Sutton D L and K H Port i e r 1983 Var i ati on of n i trogen phosphorus and potass i um contents of Hydri 1 l a i n South Fl orida J Aquat i c Pl ant Mgt 2 1 87 -92

3-12

Tabl e 3 1

Cond i t i on 1

Cond i t i on 2

Cond i t i on 3

Cond i t i on 4

Cond i t i on 5

Hvdrll l a Cond i t i on Factors to Descri be Pl ant Maturi ty i n the Lake Okeechobee Study Area

Areas of new pl ant growth rooted pl ants are l ess

than a foot h i g h

Pl ant growt h i s v igorou s but does not extend to the

surface P l ant s extend from 12 to 34 of the water

col umn i n height

Pl ant growth i s v igorous reaches the surface not

matted or at l east not brown and dyi ng on the

surface

Pl ant g rowth i s matted at the surfac e fl oat i ng

pl ants trapped s i gns of earl y decompos i t i on

P l ant mats are senescent and some open water i s

evident under mat

Source DSA Group I nc 1988

T-- 3 BiJS s_ bull aty 6 Sct irg 1tilt in _ Ia1 kee--gtee OJ --l l

my WEI lOOS lOOS

station GM2 so KGM2 so ArnE GM2 so KGM2 so ArnE

1 19 33 17 10 0 02 0 02 0 09 197 00 188 04 0 20 0 19 0 88

2 32 00 12 53 0 03 0 01 0 14 364 67 127 36 0 36 0 13 1 63

3 67 00 18 19 0 07 0 02 0 30 636 00 191 01 0 64 0 19 2 84

4 155 00 72 75 0 16 0 07 0 69 1660 33 733 09 1 66 0 73 7 41

5 195 33 85 82 0 20 0 09 0 86 1757 00 720 00 176 0 72 7 84

6 166 33 37 58 0 17 0 04 0 74 1695 33 335 67 1 70 0 34 7 56

7 263 33 56 70 0 26 0 06 1 18 2158 67 538 68 2 16 0 54 9 63

8 67 33 4067 0 07 0 04 0 30 676 33 302 63 0 68 0 30 3 02

9 184 67 94 85 0 18 0 09 0 77 1765 66 719 58 1 77 0 72 7 88

10 317 67 155 28 0 32 0 16 1 42 3165 33 1379 28 3 17 1 38 14 12

11 205 67 82 37 0 21 0 08 0 92 1716 00 500 11 1 72 0 50 7 66

12 200 67 47 60 0 20 0 05 0 90 2192 00 554 43 2 19 0 55 9 78

13 188 67 49 17 0 19 0 05 0 84 2326 00 492 11 2 33 0 49 10 38

14 116 00 29 82 0 12 0 03 0 52 1228 33 334 60 123 0 33 5 48

15 234 67 66 29 0 23 0 07 1 05 1997 33 527 08 2 00 0 53 8 91

Notes GM2= Grams Per Meter Square

SD= staOOald Deviation 1lGM2= Kilograms Per Meter Square

Dlta Ioolules Nan-Hydrilla Values for lhese stations

SOlllCe DSA Group Inc 1988

Tabl e 3 3

Cond i t i on

1

2

3

4

5

Sununary of Hydr i l l a Cond i t i on Factor by stat i on for the Lake Okeechobee study area August 18- 21 1987

Hydri 1 1 a Stat i ons

lt1 h i gh 1 2

12middot34 water col umn i n hei ght 2

at surface not matted 8 1 4 1 5

matted earl y decompos i t i on 4 6 7 1 0 1 1 1 2 1 3

senescent open water 5 9

Source DSA Group I nc 1987

Table 3 4 SUImlary ot Hyt1rllla Nl11rlent conumt nan Ole JaKe UKeeCnacee -oxty AJea 11

--- --------- - - ----- - -

Hydrilla Total Hydrilla Total Hydrilla Total p P TlltN TlltN K K

station I-CG so I-CG so I-CG so I-CG so I-CG so I-CG so

1 1 20 0 35 1 20 0 35 13 45 4 66 13 45 4 66 20 78 9 78 20 78 9 78

2 1 55 0 53 1 40 0 35 15 02 4 80 16 39 2 83 2156 12 06 16 45 6 23

3 1 43 0 06 1 43 0 06 15 78 1 37 15 78 1 37 19 66 6 19 19 66 6 19

4 2 36 0 27 2 36 0 27 20 67 2 76 20 67 2 76 20 57 4 81 20 57 4 81

5 1 28 0 14 1 47 0 30 16 49 0 88 16 93 1 10 19 09 2 11 18 99 1 98

6 1 60 0 02 1 60 0 02 17 16 028 17 16 0 28 23 56 5 57 23 56 5 57

7 0 91 0 07 0 91 0 07 15 58 0 38 15 58 0 38 10 20 0 53 10 20 0 53

8 1 37 0 15 1 37 0 15 13 60 2 50 13 60 2 50 26 28 8 25 26 28 8 25

9 1 45 0 36 1 48 0 39 17 60 2 38 17 73 2 56 18 34 5 30 18 59 5 35

10 1 96 0 14 1 96 0 14 21 35 1 69 21 35 1 69 18 71 2 73 18 71 2 73

11 1 63 0 13 1 63 0 13 16 71 0 37 16 71 0 37 16 60 5 06 16 60 5 06

12 1 81 0 12 1 81 0 12 21 97 1 04 21 97 1 04 14 43 1 37 14 43 1 37

13 2 67 0 27 2 68 25 26 15 2 29 26 34 1 97 15 89 4 52 15 89 4 52

14 2 14 0 09 2 14 0 09 20 68 1 12 20 68 1 12 23 68 1 72 23 68 1 72

15 1 33 0 11 1 33 0 11 14 01 0 47 14 01 0 47 15 82 1 99 15 82 1 99

Note All Values Expressed as Milligrams Per Gram of Dry Weight

50ur0e DSA Group Inc 1988

Tabl e 3 6

Sampl i ng Peri od Pl ant

August 1987

Tops

Steins

Whol e Pl ants

August 1987

Whol e P l ants

+January 1988

Who l e Pl ants

A Compari son of Hydri l l a Nutri ent Content for Samp l i ng Periods Conducted i n August 1987 and January 1987 i n t he Lake O keechobee Study Area

N i trogen Phosphorous (mgg-dry wei ght) (mgg-dry wei ght)

19 5 3 21

10 4 1 49

16 3 1 53

13 45 - 26 15 91 - 2 67

31 2 - 35 2 6 9 - 9 2

Source IST Augu s t 1987 Source DSA HHL August 1987

+Source IST January 1988

Tabl e 3 7 Bi omass anal ys i s qual i ty assurance resul ts

Prec i s i on Accuracy Parameter ( n X RSO SO) ( n X RSO SO)

Total phosphorus 6 3 8 1 4 4 1 0 1 7 6 5

Tota l Kje l dahl n i trogen 8 3 2 2 2 4 1 06 6 1 1 2

Potas s i um 6 3 1 1 8 5 12 1 2 43 5

zB

Figure middot3- 1 BIOMASS SAMPLING LOCATIONS

_c liOn Aalill LAaoaATOAV bullbull DA OAOb INC 18 bull

EVALUATION OF AQUATIC WEED HARVESTING DEMONSTRATION

IN LAKE OKEECHOBEE

Cl M EANS

B I O MAS S WET WE IG HT GRAS METER SQUARE

5--------------------------------------------------

45

4

3 5

3

25

1 5

1

05

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFIDENCE STATION

o LOWER COIJADENCE

re 3 2

w a 4 J a tJ) lr w-ti

o M EANS

500

450-

40

350

300

2 50

20

1 50

1 00

50

0

1 2 3 4

+ UPPER CONfIDB-JCE

_ GPnl IP INC

81 0M-ASS D RY WEIGHT CRAMS METER SQUARE

-1-5 e 7 8 sa 1 0 1 1 1 2 1 3 1 4 1 5

STAriON o LOWER (ONlDENCE

ure 3 - 3

________________________________________________________ -____ G

c- -0 (I) (I) -laquo l 0 m J 0 I-

TOTAL BI O MASS VS HYDRI LLA C ONDITIO N DRY WEIGHT GlA2

3 00--------------------------------------------

2 80

1 80

1 60

1 40

1 20

1 00

80

6 0

40

20

middot0 1 2 3

CONDITION FACTOR IS I GM2 DRY NEIGHT

4 6

Figure 3-4

J laquo It w -It 0 L-a 0 -CL lt)

o M EAtJS

M I LLI G RAM S O F TOTA L P H O S PH O RUS

3--------------------------------------------

1

1 4

1 2

1

08 -1 2 3 4

+ UPPER CONFID ENCE

5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION gt LOWER CONFlDENCE

Figure 3-

z o tr 4 gt IL o

w o b IL W o o

C O EFFI C I ENT OF VARI ATION

TOTAL PHOSFHORUS 1 00-----------------------------------------------

90

80

70

60

50

40

30

2 0

1 0-

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION

i

z o ti gt b o

w o b h W o o

CO EFFIC I ENT OF VARIATION TOTAL PHOSA-lORUS (HtDRILLA ONLY)

I OO------------------------------------------------

90

80

70

60

50

40

30

20

1 0

1

IS I CONDlllON FACTORS STATION

9 1 0 1 1 1 2 1 3 1 4 1 5

Figure 3 -7

c - t) 2 0 -1 0 I-

TOTAL PH O S PH U RS VS H YDR I LLA C O N DITI ON

3--------------------------------------------

28

2

2

1 8

1 6 1 4

1

1 2 3

CONOrTJOt FACTOR -I I MGG my yenEIGHT

4 5

ure 3-8

J laquo cr

2 2 w l-e )- 20 (( 0 b 1 8 0 (-

z 1 6 t= 1 4

1 2

1 0

8

o M EANS

M ILLIGRAMS O F TOTAL KJELDAHL NITROGEN

1 2 3 4

+ UPPER CONFDE1CE

----r f 5 bull 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION ltgt LOWER COtADENCE

-ltlilirA 3-9

z 0

gt La 0

I-Z w

0 La La w

0 0

CO EFFIC I ENT OF VARI ATION

TOTAL l1ltJtJ

4

30

2

1 0

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

IS I CONDITlON FACTOR kZ 1 CV ()

Figure 3-1 0

z o t( tr laquo gt L o

tshyZ W o L L W o o

middot

CO EFFIC I ENT O F VARIATIO N 1lltN (HfDRlliA ONLY)

1 00-----------------------------------------------

90

80

70

80

50

40-

30

20

1 0

IS I CONDlllON FACTORS STATION WJ CV(7) 3- 1 1

0 -lt- z a

I--1 0 I-

30

28

28

24

22

2

1 8

1 8

1

1

2

0 1

TOTAL TKN VS HYDRI LLA CON DITION

2 3

CONDITION FACTOR r ] GG CRY WEIGHT

3- 1 2

-oJ ( tr W gt-cr n L 0 Cl - Cl E

o M EANS

M I LL IG RA M S O F TOTAL POTASSI U M

38---------------------------------------------

2

1

8--------------------- 1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFDENCE STATION

ltgt LCJWER CONFIDENCE

z o n 4 gt LL o

I-shyZ bJ o LL LL W o o

1 00

90

80

70

80

50

40

30

20

1 0

0 -

CO EFFIC I ENT O F VARIATION POTASSIUU

-- _-_------ ------

1 2 3 4 5 8 7 8 1

IS I CONDITION FACTOR STATION ---

l2 J cv(-)

1 4 1 5

3- 1 4

z 0 t a oC gt Iamp-0

--

It

r z w 0 lamp-Iamp-w 0 0

C O EFFIC I ENT O F VARI ATION

POTASSlUA (HfffiILLA 011 Y) 1 00 - - - - - - -- - ---- - - - -- - -- - - - ---- --- - -- - - - - - - - - - - -- - - - - -

90

80

70

60

50

40

30 -

20

-

1 0

0 - 1 2 3 4

IS I CONDIllON FACTORS

l 7

J

r t

I 10 1 1 1 2 13

STATON LUd CV ( )

3- 1 5

TOTAL P OTASS I U M VS HYD RI L LA CON DITI ON

30------------------------------------------

28

28

1 2 3

CONDfTION FACTOR 1 I GG y WEIGHT

4 5

3- 1 8

IV WATER QUALITY SURVEYS

IV A INTRODUCTION

Concerns for water qual i ty i n Lake Okeechobee are pr i mar i l y

focused on nutri ent storage and cycl i ng between the water col umn

sedi ments and bi omass and the impl i cat i ons of these processes for the

current and future troph i c state of the l ake The harvest i ng

demonstrat i on project undertaken by the South Fl ori da Water Management

Di strict and conducted by I nternat i onal Sci ence and Technol ogy I nc

( ISampT) i s one of the remed i al measures proposed to arrest the apparently

i ncreas i ng troph i c state The harvest i ng and subsequent upl and d i sposal

of Hydrj l l a i s bei ng u sed to effect the removal of total nutri ents

( phos phorus in part i cul ar) from the aquat i c system The Di str i ct s

eval u at i on and research project ( EampR) conducted by Mote Mari ne Laboratory

(MML) was des i gned to del i neate other env i ronmental i mpacts and cost

benefi ts associ ated wi th mechan i cal weed removal

The goal of the water qual i ty task of the EampR s tudy was to

del i neate changes that cou l d be attri buted to the removal of dense stands

of Hydri l l a vert i c i l l ata ( Fi gure 4 1 ) Al though the i mmed i ate i mpacts of

weed harvest i ng on water qual i ty may be substant i al those wh i ch

perS i sted over a peri od of t i me were expected to be fai rl y smal l and

l ocal i zed due to the advect i ve barri er of the Hydri l l a mat Accord i ngl y

i n order t o resol ve these changes from background vari abi l i ty grad i ents

of water qual i ty were assumed to exi st across the s i te al though they may

be wea k

The sampl i ng program was desi gned t o al l ow the stat i st i c al

eval uat i on of water qual i ty d i fferences between stat i ons at any one poi nt

i n t i me prov id i ng enough anal yt i cal data to produce mean i ngful

compari sons As a resu l t a mi n i mum of tri pl i cate col l ect i on s per

stat i on were necessary Th i s approach was preferabl e to more frequent

sampl i ngs because i t centered on quant i fy i ng i mpacts at part i cul ar

i nstances rather than on a conti nu i ng bas i s when seasonal processes i n

the study area woul d compl i cate anal yses of data

4 - 1

Water qual i ty i nformati on i s al so necessary for the i nterpretat i on

and anal ys i s of many of the other tasks Phytopl ankton and pri mary

product i v i ty stud i es i n part i cul ar are heavi l y dependent on t h i s task and

wi l l exami ne ava i l abl e nutri ents tox i c compounds ( copper) as wel l as

phys i cal data produced by thi s tas k Accord i ng l y sampl i ngs for water

qual i ty were conducted on each of the days that Envi ronmenta 1 Qual i ty

Laboratory ( EQL) depl oyed primary producti v i ty equ i pment In add i t i on

certa i n parameters (d i ssol ved s i l i cates col or and i norgan i c carbon )

were added to the analyti c al su i te at stat i ons where product i v i ty was

be i ng determi ned Water qual i ty sampl i ngs were al so conducted wi th i n 24

hours of the communi ty metabol i sm task fi el d efforts and wi th i n two weeks

of l arval and juven i l e fi sh sampl i ngs

IV B METHODS

IV B l Water Qual i tv Stat i on locat i ons

The northern 1 200-m (4000 ft ) of Transect 3 was des i gnated as the

experimental transect where a majori ty of the tasks focused the i r

efforts Th i s harvested area was sel ected based upon central 1 ocat i on

wi th i n the study s i te representati veness of the study s i te as a whol e

wi th respect to depth fetch shore proxi mi ty and speci es compos i t i on

and the dens i ty of the Hydri l l a mat of the area

Stat i on l ocat i ons for most sampl i ng s of the water qual i ty task

were i l l ustrated i n F igure 4 2 a superi mposed on the Loran C l i nes mapped

for the study s i te dur i ng the August 1 987 reconnai ssance A tabul at i on

of Loran coordi nates of these stat i ons appears i n Tabl e 4 1 Stat i ons

were establ i shed to defi ne any ex i st i ng water qual i ty grad i ents across

the s i te as wel l as i mpacts due to harvest i ng and so extend beyond the

boundari es of the area schedul ed for harvest Stat i ons 1 2 3 13 1 5

and 1 6 represented the perimeter o f the study s i te Stat i ons 7 - 9 were

l ocated on the northern hal f of Transect 3 the experi mental transect

and represented the treatment stat i ons the treatment be i ng harvest i ng

Control ( unharvested ) stat i on 10- 1 2 were adj acent to the

experi mental transect i n the unharvested l ane between Transects 3 and 4

4 -2

( Stat i ons 4 -6 were al ternate control stati ons to be used onl y i f unusual

cond i t i ons at Stat i ons 10- 1 2 i nd i cated that they woul d not represent

und i sturbed cond i t i ons These stat ions have not been occup i ed to date )

Stat i ons 7 - 1 2 were al so the same areas sampl ed for phytopl ankto n benth i c

i nfauna and sed i ment chemi stry Stat i on 1 5 was or i g i nal l y establ i s hed

beyond the southern end of Transects 6 and 7 However dense growths of

Amer i can Lotus i n the area made i t l i kel y that water exchange was

mi n i mi zed wi th the rest of the study area Th i s stat i on was accord i ng l y

moved t o the north but kept between transects s o that i t represented

unharvested cond i t i ons

I V B 2 Parameters

In liY i nstrumentat i on (Hartek Hark V I I ) was used to determi ne

depth profi l es (at 0 2 and 0 5 meter i ncrements from the surface and at

bottom) of temperature conduct i v i ty pH and ox idat i on-reduct i on

potent i a l (ORP) bull Di ssol ved oxygen ( DO) meters ( YS I 57 pol arographi c

el ectrodes equ i pped wi th st i rrers ) were used to measure DO at the same

depths Heters ( and i nstruments ava i l abl e as backup equ i pment ) had been

bench cal i brated aga i nst known standards or phys i ca l constants pri or to

each sampl i ng Cal i brat i ons of the meters empl oyed were repeated

fol l owi ng each sampl i ng L i -Cor i ntegrat i ng photometers were ut i l i zed to

quant i fy i nc i dent and penetrant l i ght Care was taken i n performi ng

these measurements to mi n i mi ze weed d i sturbance i n l oweri ng the

i nstruments and ext i nct i on coeffic i ents were cal cul ated from both the

upper ( 0 5 m) and l ower ( bottom) read i ngs to provi de est i mates of both

weed mass and water col umn l i ght attenuati on Water sampl es were

col l ected for l aboratory analys i s outs ide of the i nfl uence of any meter

d i sturbances

Sampl es were secured us i ng a non -metal l i c i mpel l er-type pump wi th

a weed excl ud i ng cage mesh s i ze of 1 mm ( F i gure 9 3 ) The cage was

l owered wi th a mi n i mum of d i sturbance to the weed mat to prevent

resuspens i on and entrai nment of l oose ly attached al ga l materi al or other

pl ant debri s Th i s col l ecti on techn i que was empl oyed for al l sampl i ngs

Chemi cal parameters i ncl uded al l standard n i trogen and phosphorus

4-3

spec i es Inorgan i c forms - -orthophosphorus ammon i a- n i trate- and

n i tri te -n i trogen - - were determi ned on fi l tered sampl es ( 0 45 micon

effect i ve pore s i ze ) to ascerta i n the ava i l abl e amounts most mean i ngfu l

for b i ol og i cal assessments Potass i um and sodi um were quant i f i ed on a

fi l tered sampl e Trace metal concentrat i ons copper ( Cu ) and i ron ( Fe )

al so were determi ned o n fi l tered sampl es due t o the affi n i ty of these

e l ements for suspended part i cul ates

Total organ i c carbon total Kjel dahl n i trogen total phosphorus

and al kal i n i t i es were determi ned on unfi l tered s ampl es as was

bi ochem ica l oxygen demand Turb i d i ty and suspended l oads were quant i fi ed

and total col i form was analyzed by the membrane fi l ter techni que The

analys i s of sampl es for sod i um chl ori de and fl uori de concentrat i ons was

performed to permi t water mass cal cul at i ons and determi nat i on of water

qual i ty grad i ents across the s i te Anal yses necessary for the pri mary

product i v i ty task were col or d i ssol ved s i l i ca and i norgan i c carbon

Water qual i ty anal yt i ca 1 methods used were those approved by the

Envi ronmental Protect ion Agency ( EPA ) and the Fl orida Department of

Envi ronmental Regul ati on ( FDER) Method references anal yt i cal hol d i ng

t i mes and preservati ves are detai l ed i n Tabl e 4 2

Lake l evel s for spec i fi c dates were obtai ned from the Di stri ct and

represent 1 ake wide averages of stage recorders operated by both the

Di stri ct and the u s Army Corps of Eng i neers

IV B 3 Sampl i ng

There were four types of water qual i ty sampl i ngs each vary i ng i n

the numbers of stat i ons sampl ed t imi ng of col l ecti ons or parameters

anal yzed The s ampl i ngs were enti tl ed basel i ne short - term impacts

quarterl y and fi el d demonstrati on Col l ect i ons were focused around the

experimental transect Analyti cal sui tes i nc l uded both phys i cal and

chemi cal parameters Sampl i ngs performed to date appear i n Tabl e 4 3

4 -4

Basel i ne Sampl i ng

Basel i ne sampl i ng was conducted on August 18 1 987 pri or to any

harves t i ng act i v i ty wi t h i n the s i te The day was cl ear hot and cal m

Average l ake l evel for the day was 4 22 m ( 13 85 ft ) A total of n i ne

( 9 ) l ocati ons ( Figure 4 2 ) was sampl ed to establ i sh a grid of control

stat i ons ( Stat i ons sampl ed were 1 2 3 10 1 1 12 13 1 5 and 16 )

These stat i ons were al l i n areas where no harvest i ng act i v i t i es were

schedul ed Stat i ons 10 1 1 and 1 2 were l ocated i n a heavi l y weeded

area whi l e the rema i n i ng control stat i ons were outs i de the area to be

harvested and were i n comparati vely open water At each stati on a total

of three separate sampl es was col l ected from a depth of 0 2 m for

l aboratory analys i s

At Stati ons 1 3 13 and 16 sampl es were al so sec ured from 0 8

of the overal l depth Water depth ranged from 0 9 to 2 0 meters at al l

stat i on s These corners of the study si te represented the spat 1 a1

extremes and water qual i ty data from surface and at depth were used as

i nd i cat i ons of verti cal gradi ents over the s i te

One add i t i onal stat i on at the mouth of the K i s s i mmee R i ver

( Stati on 20) was sampl ed at the surface (0 2m ) The effect of thi s

tri butary on l ake nutri ent l oad i ng and resul tant spat i al grad i ents may

thus be cons i dered Th i s s i ng l e sampl e however was not i ncl uded i n

stat i st i cal anal yses

A total of fourteen ( 14) stati on-depths resul ted from thi s

sampl i ng for a total of forty ( 40 ) sampl es for anal ys i s In ll1Y and

l aboratory analyses i ncl uded al l wi th the except i on of col or s i l i cates

and org an i c carbon as no phytopl ankton sampl i ng was conducted duri ng

th i s epi sod e Sampl es for total col i form were col l ected from Stat i ons

10 1 1 and 1 2 onl y ( n i ne sampl es)

Short Term Impacts Sampl i ng

Two short term impacts water qual i ty sampl i ngs were conducted

i mmed i atel y after and approx i matel y one week fol l owi ng the compl et i on

of harvest on the exper imental transect These sampl i ngs were i n

4 - 5

conjunct i on wi th and on the same day as phytopl ankton and pr i mary

product i v i ty sampl i ngs Sampl es were col l ected from Stati ons 10 1 1 and

1 2 the control stat i ons and from Stat i ons 7 8 and 9 the experi mental

stat i ons ( F1 gure 4 5 ) Experimental stat i ons were l ocated approxi mately

150m 600m 1070m ( 500 ft 2000 ft and 3500 ft ) from the northern end of

the transect and were approximate ly 75 m ( 250 ft ) from e i ther edge of the

harvested area Contro 1 stat i ons were pa i red wi th each experi mental

stat i on and were adj acent approx1mate1y mi dway between Transect 3 and 4

1 n the center o f the unharvested are a Sampl es were col l ected from 0 2m

depth onl y

Aquat i c weed harvest1 ng on the experi mental transect began

September 3 1987 and the northern 1 220 m was compl eted on September 1 7

Dur1 ng th i s and the succeed 1 ng dayt 1 me sampl i ng events the ongo i ng

harvest of weeds cont i nued nearby An MHl fi el d crew conducted sampl i ng

on September 1 7 a hot cal m and cl ear day when l ake l evel s averaged 4 13

m ( 13 56 ft ) Th 1ck Hvdri 1 1 a growth was v 1 s i b1 e at depth w1 th i n the

tran sect Another sampl i ng occurred on September 22 1987 ( l ake l evel

4 1 2 m ( 1 3 51 ft raquo under s imi l ar cond i t i ons Regrowth of Hydri 1 1 a i n the

experiment al transect was extens ive by th i s date Sampl es were col l ected

near the mouth of the Ki s s immee Ri ver on both occas i ons Seven ( 7 )

stat i on depths resul ted 1 n the col l ect1 0n o f n i neteen ( 1 9 ) sampl es on

eah date Al l in si tu parameters and l aboratory anal yses were i nc l uded

Quarterl y Sampl i ng

As wi th the i mmed i ate i mpacts sampl i ng s quarterl y sampl i ngs were

conducted i n conjunct i on wi th phytopl ankton work Stat i ons sampl ed

i nc l uded 1 2 3 7 8 9 10 1 1 1 2 13 1 5 and 16 at 0 2m depth

( F i gure 4 2 ) and Stat i ons 1 3 1 3 and 16 at 0 8m overal l dept h

S i xteen ( 16 ) stat i on depth s pl us one ri ver sampl e resul ted i n at l east

49 sampl es duri ng each of the four efforts In s i tu and 1 aboratory

parameters i ncl uded al l those l i sted wi th the except i on that total

col i form d i s sol ved s i l i cates col or and i norgan i c carbon were anal yzed

on l y on sampl es from Stat i ons 7 8 9 1 0 1 1 and 12 onl y ( the

exper i mental stat i ons and the i r control pa i rs )

4 -6

Quarterly sampl i ngs took pl ace on September 30 1 987 and January

1 3 1 988 wi th the rema i n i ng sampl i ngs schedul ed for Apr i l and June 1988

Lake l evel s were 4 1 4 and 4 90m ( 1 3 60 and 16 07 ft ) i n September and

January respect i vel y The September event was conducted o n a bl ustery

day (wi nds from the west at 5- 10 kts ) wh i ch l ater produced a dr i v i ng

rai nstorm Vi s i b i l i ty both in and above the l ake was obscured currents

were al so noted Li ght and vari abl e w i nds from the NE to W were noted

duri ng the January sampl i ng Hydrilla had regrown to t he surface i n some

cases by th i s date but otherwi se was not often vi s I b1 e due to i ncreased

l ake l evel s

The northern 180m of the experi mental transect was reharvested

duri ng December 1987 Stati ons 7 and 10 were sampl ed i n January and thus

represented a t h i rd treatment ( 1 e harvested twi ce ) In order to

ma i nta i n a bal anced des i gn for stat i st i cal anal yses however two ( 2 )

stati ons were added t o the sampl i ng schedul e The pos i t i on of Stat i on

7 5 was just south of the mowed sect i on and another control ( 10 5 ) was

added i n a comparabl e l ocat i on south of Stat i on 1 0 Stat i ons 7 5 8 and

9 then became the experimental group to be consi dered i n data analyses

F i el d Demonstrat i on Sampl i ng

Water qua 1 i ty impacts duri ng the actual harvest i ng process were

expected to be pri mari l y a product of turbul ence generated by harvest i ng

These effects were al so expected to be fa i rl y l ocal i zed due to the

dens i ty of the weed mat Any temporary resuspen s i on of organ i c detr i tus

or el evat i on of sol i ds or nutri ent concentrati ons wou l d be establ i shed by

an i ntens i ve t i me seri es wh i ch woul d exami ne the degree and durat i on of

any d i sturbance

The fi el d demonstrat i on water qual i ty samp l l ng was conducted on

October 28-29 1 987 when l ake l evel s were at 14 26 ft Three pai rs of

stat i ons approxi matel y 100 ft apart were establ i shed at the northern edge

of the wi nd fence or harvested area l ocated between Tran sects 2 and 3

( Fi gure 4 6 ) Subsequent to preharvest sampl i ng a harvester made two

passe s each approx i mately 100m l ong A smal l barri er of Hydri l l a ( ca

3m w ide ) was l eft i ntact between the harvested area of Transect 2 and the

4 - 7

RharvestedR area for th i s study Stat i ons were i dent i fi ed as Rcut R (Cl

C2 C3 ) or R uncut R (UCl UC2 UC3 ) duri ng th i s effort

Fol l owi ng the two passes of the harvester over the experi mental

swath no more harvest i ng occurred in that area for at l east 24 hours A

t i me seri es of sampl es were col l ected from -each of the s i x ( 6 ) stat i ons

Data were to be compared from each of the two stat i on types for

quant i fyi ng i mpacts and traci ng the i r durat i o n

Sampl es were col l ected a t 0 2m and 0 8m o f the overal l depth us i ng

the pump and the weed excl ud i ng cage to el imi nate the l argest Hydri l l a

fragments from the sampl e Col l ect i ons took pl ace i mmedi atel y pri or to

the passage of the harvester immedi atel y subsequent to the harvest of

the experimental stat i ons (wi th i n approxi matel y 0 5 hr) and then aga i n

at roughl y 2 5 10 and 24 h r i nterval s after the harvest Sampl es were

not col l ected i n tri pl i cate i nstead the three stat i ons i n each

treatment type formed the basi s for stati sti cal compari son A total of

twel ve ( 1 2 ) stat i on depths and s i x (6) col l ect i ons resul ted i n seventyshy

two sampl es for ana lys i s The s i x col l ect i ons were i dent i fi ed as rounds

1 -6 i n data pri ntouts In 11Y parameters to be determi ned i ncl uded al l

l i sted with the except i on of l i ght penetrat i on and secchi depth

measurements Total col i form was not anal yzed due to the extremel y short

hol d i ng t i me of that parameter nor were repet i ti ve l i ght measurements

wh i ch have a h i gh potenti al for d i sturbance of the water mass due to the

actual sampl i ng process Suspended l oad and turbi d i ty anal yses were

ut i l i zed for est imates of l i ght attenuat i on S i l i cates col or and

i norgan i c carbon were not anal yzed as no phytopl ankton work was

conducted at th i s t i me

IV C INTER IM RESULTS

Al l water qual i ty data col l ected through the m idpo i nt of thi s

project appear i n Append i x 4 A and i ncl ude in s i tu and chemi cal anal yses

from the sampl i ngs performed on August 18 September 1 7 September 22

September 30 and October 28-29 1 987 and January 13 1 988 Means of

al l parameters measured i n the study s i te are presented i n Tabl es 4 4

and 4 5 by date but wi thout regard to treatment stat i on or depth

4 -8

The most notabl e of the in ll1Y parameters i s di ssol ved oxygen

More than 32 of al l observat i ons made were i n v i ol ati on of t he 5 0 mg1

i nstantaneous d i s so 1 ved oxygen cri teri on for C1 ass I waters and 20 of

a l l observat i ons were bel ow 4 0 mg1 (Tabl e 3 4 ) Samp1 i ng t i mes were

skewed toward the morn i ng hours and were thus abl e to record the effects

of pre-dawn resp i rati on of aquat i c vegetat i on at the s i t e

Surface sampl es were al so col l ected i n the Ki s s i mmee Ri ver

approximatel y midway between the S R 78 bri dge and Lake Okeechobee i n

add i t i on t o those sampl es spec i fi ed by the scope of work (Tabl e 4 6 )

Ion content ( sod i um potass i um chl ori de al kal i n i ty s i l i cates )

typi cal l y was l ower i n the ri ver than the s i te waters and i ncreased

sod i um and chl oride concentrat i ons were observed i n the southern port i on

of the study area The ri ver was general l y l ess turbi d ( turbid i ty total

suspended sol ids ) hi gher in col or and apparent ly represented a source

of d i ssol ved i ron to the area

Both throughout the s i te and i n the Ki ss immee Ri ver d i ssol ved

copper l evel s i f detected were only sl i ghtl y above the l i m its of

detect i on The same was true of n i trite-ni trogen wi th the excepti on of

the January sampl i ng On th i s date concentrati ons at the Ki ss inunee

stat i on were h i gher (0 027 mg1 ) than the rema i nder of the stat i on s and

concentrat i on grad i ents were apparent across the study s i te Data on

col or si l i cates and i norgan i c carbon al though presented i n the

append i x wi l l not be extens i vel y analyzed i n thi s sect i on as such data

were pri mari l y col l ected for use i n i nterpretat i on of phytopl ankton

anal yses

IV D DATA REDUCTIONS

Stati sti cal anal yses of i n s i ty and chemi cal data empl oyed one and

two-way analyses of vari ance where treatment effects ( harvested non shy

harvested stat i ons depths ) were consi dered as fi xed (Model I ANOVA)

Two-way anal yses were conducted empl oyi ng the same assumpt i ons when the

rel at i ve magni tude of effects was of i nterest S ign i fi cance l evel s were

set at 0 05 ( P 95) Except where noted anal yses ut i l i zed the

untransformed val ues of the vari ous parameters Log ( base e) data

4-9

trans format i ons were usual ly used to approxi mate normal d i stri but i ons

Parameters trans formed for analys i s i ncl uded orthophosphate ammoni a

n i trate -n i tri te-n i trogen potass i um i ron BOD turbi d i ty TSS and

sod i um

When vari ances among groups were s i gni fi cant i nd i v i dual means

were contrasted us i ng e i ther Student t-tests or Tukey s Student i zed Range

Test wh i ch computes the smal l est HSD ( honestly s ig n i fi cant d i fference )

for determi n i ng d i fferences Both were ap pl i ed at the P - 95 l evel

IV E DISCUSSION

IYr E I In 1i1Y Parameters

D i ssol ved oxygen l evel s and percent s aturat i on of d i ssol ved oxygen

were expected to show the most change from harvest i ng act i v i ti es W ide

d i urna 1 swi ngs shoul d be damped by the removal of 1 arge amounts of

Hydril l a D i urnal pH cycl es and to a l esser extent ORP woul d be

expected to fol l ow thi s pattern as l ess vegetat i on woul d be present to

con sume carbon d i ox ide Seasonal cycl es were expected i n temperature

data however d i urnal cycl es and verti cal thermal grad i ents were l ess

l i kely 1 n areas where dense stands of fl oat i ng Hydri l l a had been removed

For al l parameters wi nd generated m ix i ng i n harvested areas shou ld

1 es sen the degree of al l surface-to-bottom grad i ents Any changes i n

conduct i v i ty at a part i cul ar l ocat i on as a resul t of harvesti ng woul d be

i nd i rect and woul d l i kel y refl ect al terat i ons i n current structure by

removal of the Hvdri l1a mat and the i ncreased fl ush i ng i n harvested

areas

Due to the obv ious d i fferences between sampl i ngs anal yses of i n

tliY data empl oyed two -way ANOVAs usi ng date and treatment ( harvested

Stat i ons 7 8 and 9 and non-harvested Stati ons 10 1 1 and 1 2 ) as

factors Further as vert i cal grad i ents for some parameters appeared

substant i al data sets were al so subd i v i ded i nto surface and bottom

readi ngs and exami ned separately Data were anal yzed from the sampl i ngs

of September 1 7 22 and 30 and January 13 As ant ic i pated sampl i ng

date was a h i ghl y s i gn i fi cant factor for al l i n s i tu parameters

4 - 10

conduct i v i ty ORP pH temperature DO and percent saturat i on Those

parameters exh i bi t i ng d i fferences attri butabl e to harvest i ng impact were

DO and percent saturat i on at both surface and bottom and pH at bottom

No i nteract i ve terms were s i gn i fi cant i nd icat i ng a consi stent and

pred i ctabl e pattern of d i fferences

Di ssol ved oxygen l evel s averaged between 0 5 and 3 6 mgl h i g her

i n the experi mental ( harvested ) transect than i n the adj acent control

stat i ons Th i s pattern was general ly most ev i dent from read i ngs at the

bottom of the water col umn Overal l i ncreases i n percent saturat i on were

approxi mately 20

It shoul d be noted that the majori ty of these data were col l ected

before 1000 ( EST ) and that th i s t i mi ng affected both the magni tude and

the d i rect i on of d i fferences i n DO l evel s Had sampl i ng been conducted

predomi nantly dur i ng mid- to l ate afternoon i t i s most probabl e that the

unharvested and heav i l y weeded areas would have had s i gn i fi cant ly h i gher

DO val ues than the adj acent harvested areas The observed pattern i s

cons i stent wi th an enhanced pre-dawn DO middot sag middot i n areas wi th h i gher

dens i t i es of aquati c vegetat i on (control s ) To ensure that no bi as was

i ntroduced by sequence of sampl i ng on each date stat i ons were ranked by

t i me of sampl i ng the ranks summed by treatment and compared Duri ng that

sampl i ng with the most d i screpancy between treatment rank sums September

30 DO l evel s i ndi cated that thi s was not a seri ous factor

The overal l s i gni fi cance of date i n the previ ous anal yses was due

predomi nantl y to the i ncl us i on of the January data set as can be deduced

from the means presented i n Tabl e 4 4 W i th removal of th i s data set and

reanal ys i s of the three September sampl i ngs the onl y parameters where

date was a s i g n i fi cant factor were pH and ORP I n attempt i ng to quant i fy

the i mmed i ate i mpacts of harvest i ng the removal of the January data set

can be j ust i fi ed on the bas i s that the regrowth of Hydri l l a was

essent i al l y compl ete by th i s sampl i ng and that there were no obv i ous

d i fferences between experi mental and control stat i ons The s i gn i fi cant

d i fferences between experimental and control s for DO percent saturat i on

and bottom pH however were essent i al l y the same i n th i s reanal ysi s

i mpl y i ng that the i mpacts were most marked e i ther wi th i n the th i rty days

of harves t or duri ng that part i cul ar port i on of the growi ng season

4- 1 1

The i ntens i ve fi e l d demonstrat i on sampl i ng carr i ed out on October

28 and 29 1 987 to del 1 neate the invned i ate impacts of harvest i ng was

pr i mari ly desi gned to measure turbid i ty associ ated parameters or

nutri ents rel eased from the sed iments as a resul t of the passage of the

harvester The in 1iY data co 1 1 ected however were subjected to an

ana l ys i s s i mi l ar to the above (Tabl e 4 7 ) D i fferences between harvested

and unharve sted areas were s i gn i fi cant here for a l l parameters but

pri mar i l y for the val ues at depth D i ssol ved oxygen duri ng - th i s

samp 1 1 ng however was l ower overa 1 1 i n the harvested area As water

col umn oxygen demand (BOD ) was comparabl e between transects reference to

sampl i ng t imes the majori ty after 1000 EST cl ari fy thi s apparent

d i screpancy These d i urnal cycl es are apparent i n F i gure 3 7

Duri ng the i mmedi ate impacts sampl i ng conduct i v i t i es were

s i gn i fi cant ly h i gher i n the experimental area than at the control

stat i ons wi th i n one hour of the passage of the harvester ( F i gure 4 6)

Cond i t i ons i n both areas had been comparabl e just pri or to the harvest

Th i s may i l l ustrate the rap id i ty wi th wh i ch fl ush i ng rates are i ncreased

Al l other in 1i1Y parameters wi th the except i on of percent saturat i on

exh i b i ted s ign i f i cant changes over t ime part i cul arly a t the bottom of

the water col umn These are i l l u strated for the rema i n i ng parameters i n

F i gures 3 9 through 3 1 1 where subtl e di fferences produced by harvest i ng

are superi mposed upon d i urnal cycl es The magni tude and s i gn of

d i fferences for many parameters in add i t i on to DO between harvested and

control stat i ons were heav i l y dependent on the t i me of day

Vert i cal grad i ents i n vari ous parameters were expected to be

reduced as a resul t of the removal of the advect i ve barri er of the

Hydri l l a mat and the consequent i ncrease i n wi nd -generated mi x i ng

Anal yses of vari ance of surface mi nus bottom in s i tu val ues as a s i ng l e

vari abl e were performed wi th stati ons

( harvested ) and control ( unharvested

comparat i ve ly non -weeded stat i ons ) Of

categori zed i nto experi mental

i ncl ud i ng both weeded and

the s i x sampl i ngs anal yzed i n

th i s manner surface to bottom grad i ents were most often observed for pH

DO and percent satura t i on Surface DO val ues ranged between 0 3 and 3 8

mgl h i gher (4 -46 saturat i on ) and surface pH between 0 04 and 0 2 SU

h i gher

4 - 1 2

Surface to bottom grad i ents were a 1 so apparent i n both

experi mental and control areas duri ng the immed i ate i mpacts sampl i ng of

October 28 and 29 Except for conduct i v i ty vert i cal grad i ents for these

two treatments were not stat i st i cal l y d i fferent from one another when the

fi ve post -harvest sampl i ng rounds were consi dered as a un i t Thi s

s i mi l ari ty i n grad i ents however shoul d not be confused wi t h the

d i fferences previ ousl y demonstrated between treatment areas for th i s

sampl i ng as the grad i ent anal ys i s i s concerned onl y wi th the d i fference

between surface and bottom val ues and makes no statement concern i ng the

rel ati ve posi t i ons of i nd i v i dual val ues

The fact that gradi ents were present at al l i n the harvested area

duri ng October may impl y that the d i mensi ons of the pl ot from wh i ch

HydrjJ l a was removed ( approxi matel y 6 by 1 20 meters ) were i nsuffi c i ent

for exi st i ng wi nd d i rect i on and vel oc i ty to cause substanti al mix i ng

Water depths ranged between 1 2 and I Sm These grad i ents were present

for pH DO and percent saturat i on agai n for the January sampl i ng i n both

control and experi mental transects wh i ch i s not surpri s i ng i n l i ght of

the degree of regrowth over four months s i nce harvest and the phys i cal

s imi l ari ty of stat i ons at th i s t i me

E2 Chemical Parameters

The anal ys i s of chemi cal data was desi gned to answer the fol l owi ng

questi ons for the sampl i ngs to date

o Are there detectabl e water qual i ty d i fferences between the

experimental and control stat i ons

o If there are was thi s ei ther d i rect l y or i nd i rect ly a product of

harvest i ng act i v i ty or i s i t the byproduct of stat i on l ocat i on

and the resul t of natural d i l ut i on grad i ents ( i e l oad i ng from

the Ki s s immee Ri ver or other sources )

o I f there are no s ign i fi cant d i fferences between harvested and

unharvested areas were d i fferences to be expected on the bas i s of

water mass compos i t i on

4 - 13

Where chemi cal spec i es are not d i rect ly correl ated wi th a d i st i nct

water mass or where i nputs to the water col umn are d i ffuse enough to

prevent the ma i ntenance of a spat i a 1 grad i ent or the detect i on of a

s i ngl e sourc e data analysi s i s s i mpl i fi ed to a compari son of treatment s

experimenta1 s agai nst control s Seasonal trend s i f present can be

factored i nto the stat i st i cal ana lys i s A s i mpl e compari son of harvested

aga i nst unharvested area chemi stry can al so be performed shoul d i on

content and rat i os i ndi cate that these water masses were i denti cal duri ng

sampl e col l ect i on and that d i l ut i on grad i ents can be i gnored

However when nutri ents or other spec i es are i ntroduced i nto a

system a ssoc i ated wi th a di sti nct water mass and when d i l ut i on with

ex i st i ng waters produces detectabl e gradi ents the quest i on s become more

compl ex In add i t i o n b i ol og i cal uptake wi l l produce non - l i near

rel a t i on sh i ps and the separati on of harvesti ng impacts from expected

gradi ents becomes more d i ffi cul t

The compl ex i ty of these questi ons i n the presence of d i l ut i on

grad i ents can be i l l ustrated graph i cal l y by reference to Fi gure 4 1 2

where hypotheti cal data appear In the fi rst part parameter X i s a

l i near func t i on of sod i um or i n other word s X i s a l so a con servati ve

parameter so i ts absol ute l evel i s affected onl y by d i l uti on wh i ch

mai nta i n s a constant X Sod i um rat i o Th i s regress i on would be devel oped

u s i ng one day s data from the ent i re gri d of n i ne control stat i ons across

the study s i te The hypothet ical data from a harvested stat i on (Stat i on

7 ) and the control (Stat i on 10 ) are al so pl otted It i s apparent that

wh i l e the l evel s of parameter X at the harvested and control stat i on

shown are probabl y not stat i st i cal l y d i fferent from one another the

harvested stat i on c l earl y fal l s outside of the 95 confi dence i nterval of

the X Sod i um regress ion for thi s data set and d i fferences from the l evel s

expected may refl ect harvest i ng i mpacts

In the second port i on of Figure 4 1 2 an al ternate s i tuat i on i s

i l l ustrated where the 1 eve1 s of parameter X at h arvested and control

stat i ons are shown to be c l earl y d i fferent However it i s apparent that

the water mass at the harvested stat i on i s sl i ghtl y more d i l ute and that

the correspond i ngl y l ower l evel s of parameter X are to be expected I n

4 - 14

both s i tuat i ons any b i ol og i cal processes affect i ng parameter X wi l l

produce even more compl ex rel at i onsh i ps

Sod i um and chl ori de were fi rst exami ned for i ns i g ht i nto water

mass movement and d i l ut i on processes occurri ng across the study s i te

The sum of these two i ons ( i n mi l l i equ i va1ent s ) was empl oyed a s an

approxi mat i on of total i on content They were both assumed to be

conservat i ve i e not part i ci pat i ng to any substant i al degree i n

b i ol og i cal processes where they might be sequestered or added to t he

water col umn F i gure 4 13 i l l ustrates thi s d i l ut i on process as i t occurs

across the study s i te The rat i o of sod i um to chl oride was al so

cal cul ated as an i dent i fy i ng feature of a part i cul ar stat i on

The gri d of ni ne control stat i ons was sampl ed on three occas i ons

August 1 8 September 30 1987 and January 13 1988 These data were

exami ned as t hey represented the 1 argest spat i a 1 area Anal yses of

vari ance i nd i cated that both total i on content and sod i um ch1 0r ide rati os

vari ed s ign i fi cant ly wi th respect to sampl i ng date I n l i ght of the

seasonal pattern of preci p i tat i on and the i nfl uence of ri ver d i scharge on

the area th i s was not surpri s i ng I n add i t i on however stat i on was

h i gh l y s i gn i f icant as a factor In the case of sod i um pl us chl ori de

th i s represents a change i n total i on content or d i l ut i on occurri ng

across a spat i al grad i ent ( Fi gure 4 14 ) I n the case of sod i um ch 1 0r i de

rat i os the fact that rat i os are di fferent at d i fferent stat i ons impl i es

that two or more separate water bod ies are represented across the s i te

( F i gure 4 1 5) I nteract i ve terms were al so s i gn i fi cant for each

parameter i nd i cat i ng that d i fferences were not cons i stent across t i me or

space Th i s i s apparent i n compari ng Fi gure 4 13 wi th Fi gure 4 14

As the mi xi ng of more than two water masses together woul d make

ana l ys i s of the rema i n i ng parameters extreme ly mathemat i cal l y compl ex

regress i ons of sodi um aga i n st chl ori de were performed for al l control

stat i ons on the three sampl i ng dates On each date correl at i ons for

l i near rel at ionshi ps were s ign i fi cant at pgt99 9 Th i s resul t al l owed

the use of the assumpt i on that onl y two water masses were mi x i ng across

the s i te Parameters associ ated wi th one of the two water masses coul d

therefore be detected by regress i ons on sod i um or some other conservat i ve

parameter

4 - 1 5

Anal yses of water qual i ty impacts were i n i t i al l y restri cted to

four sampl i ngs September 1 7 22 and 30 1 987 and January 13 1 988

Stat i ons 7 - 9 for experimental and Stat i ons 10 - 1 2 for control s (Stat i on

7 5 and 10 5 were used for the J anuary data set as an area wh i ch

i nc l uded Stat i on 7 had been reharvested shortl y before the sampl i ng )

S i gn i fi cant amounts of vari ati on between experi mental (Stat i on s 7

8 9 ) and control s ( Stati ons 1 0 1 1 1 2 ) as groups were found us i ng

two-way ANOVAs wi th date and treatment as factors (Tabl e 4 8 ) Al l

n i trogen and phosphorus spec i es (wi th the except i on of orthophosphate )

conta i ned s i gn i fi cant amounts of vari at i on d i stri buted between the

harvested and unharvested control stat i ons In add i t i on for BOD

turb id i ty and total suspended sol i d s d i fferences were present as wel l

As expected potassi um fl uoride chl ori de and sod i um d i d not d i spl ay

s i gn i fi cant vari ati ons between data from harvested and unharvested

stat i ons I ron copper total organ i c carbon and al kal i n i ty were al so

not s i gn i fi cant ly d i fferent between treatments

As d i scussed above however d i fferences between harvested and

unharvested areas are strai ghtforward onl y i f I water masses i n each of

the two treatment areas were identi cal or 2 the anal yzed parameter has

no s i gn i fi c ant rel ati onsh i p to a part i cul ar water mas s or to sod i um

Al though n o s ign i fi cant d i fferences i n sod i um o r chl ori de

concentrat i ons were observed between harvested and unharvested stat i ons

as a group di 1 ut i on grad i ents of these parameters were present wh i ch

paral l el ed the axi s of the harvested transects ( Fi gure 4 1 4 ) As a

resul t the data envel ope for the stati ons of a s i ngl e treatment was

l arge i n compar i son to any subtl e d i fferences between transects (F i gure

4 16 ) The fact that any di fferences were detected between experi mental

and control transects (Tabl e 4 8) impl i ed that they were substanti al

enough to overr ide the wi th i n -treatment vari abi l i ty expected from the

sod i um grad i ent S i gn i fi cance of i nteract i ve tems i n these model s

i nd i cated that d i fferences were not cons i stent from sampl i ng to sampl i ng

To d i rect l y compare harvested and non-harvested water qual i ty the

water of the two treatments must represent i dent i cal d i l ut i ons of source

and rece i v i ng waters As d i l ut i on gradi ents were roughly paral l el to the

transect axes stat i ons were pa i red and the d i fferences of experimental s

4 - 1 6

l ess control s cal cul ated for each pa i r of sod i um and chl ori de data

( Stat i ons 7 - 1 0 8- 1 1 9 - 1 2 Tabl es 4 9 4 10 ) The mean d i fferences

computed for al l sampl i ngs or for each date were on no occas i on d i fferent

from zero ( t - tests ) I n add i t i on no cons i stent pattern of d i fferences

was observed The conc1 us i on was that wh l l e di fferences 1 n the water

mass were present between stat i ons w ith i n a s i ngl e treatment harvested

stat i ons and t he i r adjacent control pai rs represented i dent i cal waters on

each date w i th respect to d i l ut i on

As water masses were i dent i cal the d i fferences i n parameter

concentrat i ons were cal cul ated for each stat i on pa i r as for sod i um and

chl ori de above These d i fferences are summari zed i n Tabl e 4 1 1 for those

parameters for wh i ch treatment was a s i gn i f icant factor i n the two-way

ANOVAs descri bed above (Tabl e 4 8 ) The magn i tudes of the d i fferences on

i nd i v i dual dates when not stat i st i cal l y equ i val ent to zero are al so

presented

Us i ng the pai red compari sons of stat i ons al l n i trogen s peci es and

total phosphorus exh i bi ted s i gn i fi cant al though subtl e d i fferences

between harvested and unharvested areas for the sampl i ngs to date (The

only date where orthophosphorus showed treatment d i fferences was on

September 22 and on th i s occas i on the magni tude was onl y 0 002 11191

1 ess than the 1 im i t of detect i on ) These d i fferences are most notabl e

for n i trate and ammon i a n i trogen and are i n add i t i on to any d i l ut i on

grad i ents across the s i te They can be presumed to refl ect the i mpacts

e i ther d i rect or i nd i rect of harvest i ng

Concentrat i ons where d i fferent were typi cal l y l arger i n the

unharvested control transect Th i s may be attri buted to e i ther uptake by

regrowth at harvested stat i ons or to the rel ease of nutri ents by

senescent macrophytes or peri phyton at the unharvested l ocat i ons

Fl oat i ng mats of Hydrj 1 1 a i n vari ous cond i t i ons were present through the

September 30 sampl i ng

B i ochemi cal oxygen demand turbi d i ty and suspended sol i d s al so

showed d i fferences us i ng stat i on pa i rs al though i n the i n stance of

suspended sol i ds concentrat i ons were sl i ghtl y h i gher at the harvested

stat i ons Wi nd -generated sed i ment resuspensi on i n harvested areas and

suspended senescent pl ant materi al i n the unharvested areas (contri but i ng

4- 1 7

to turbi d i ty and oxygen demand but wi th rel at i vely l i ttl e dry we i ght ) are

postul ated to account for these d i fferences Th i s i s supported

c i rcumstant i al l y by the l argest d i fference i n suspended sol ids be i ng

observed on September 30 when w i nd cond i t i ons were the most extreme of

any of the days sampl ed

The l argest number of parameters d i fferent between harvested and

weeded areas was al so observed on September 30 wh i l e the fewest were

seen on January 1 3 1 988 Whether th i s d i stri but i on across t ime i s a

res ul t of 1 ) vary ing nutri ent uptake rates throughout the growi ng season

2 ) the essent i al l y compl eted regrowth observed by the January s ampl i ng

3 ) the h i gher l ake l evel s and l ack of a fl oati ng mat of Hydri l l a perhaps

reduc i ng res idence t i mes of water across the s i te duri ng January or

4) the h i gher January nutri ent l evel s maki ng d i fferences more d i ff icul t

to d i scern i s i mposs i bl e to resol ve

Another techn i que for data anal ys i s was empl oyed on the September

30 and January 13 data sets for those parameters wh i ch were associ ated

wi th d i l ut i on grad i ents across the s i te Bri efl y i f the grid of control

stat i on s d i spl ayed s i gn i fi cant regress i ons with sod i um theoret ical

parameter concentrat i ons were cal cul ated for al l control and experimental

stati ons based on the observed sod i um data and that funct i on wi th the

h i ghest regress i on coeffi ci ent Res i dual s (V i - V hat) were then

compared by t - tests between means of experimental and control groups to

determi ne i f popul ati ons were the s ame (no impacts F i gure 3 1 2B) or

d i fferent ( i mpacts Fi gure 4 1 2A)

L i sted i n Tabl e 4 1 2 by date are the regres s i on types and

coeffi c i ents of the vari ous parameter concentrat i ons wi th sod i um Onl y

surface data from control stat i ons were used The vari ed nature of i nputs

to the s i te i s exempl i fi ed by F igures 4 1 7 and 4 18 dep i cti ng the vast l y

d i fferent d i stri buti ons of orthophosphorus between September and January

Whi l e rel at i vel y few parameters were apparentl y associ ated wi th

d i l ut i on duri ng the August sampl i ng the h i gher l oads i n September and

January perhaps coupl ed with sl owed uptake and growth rates duri ng the

l atter part of the year may produce l onger water col umn res idence t i mes

for nutri ent spec i es and permi t the detect i on of d i l ut i on grad i ents i n

4 - 18

these parameters Chl ori de and potas s i um and any other parameter onl y

s l ightl y affected by bi ol og i cal act i v i ty shoul d certa i nl y produce

s i gn i fi cant rel ati onsh i ps (The l ack of s i gn i fi cance of fl uor i de wi th

res pect to sod i um i s attri buted to the extremel y l ow l evel s encountered

e g concentrat i ons at or bel ow the l i mi t of detect i on for th i s

parameter )

Overal l the res i dual s anal ys i s of sod i um dependency proved l es s

sens i t i ve than that o f the pai red stat i ons anal yses O f the twenty-two

parameter-date combi nati ons where a s i gn i fi cant regress i on wi th sod i um

was obtai ned res i dual s of experimental stat i ons were s i gn i fi cant ly

d i fferent from res i dual s from control stat i ons for onl y three parameters

- - orthophosphorus and al kal i n i ty duri ng September 30 1 987 and n i tri teshy

n i trogen dur i ng January 13 1 988 Figure 4 19 superimposes the

experi mental stat i on orthophosphorus concentrati ons upon the rel at i onsh i p

devel oped for control stati ons i n September I t can be seen here that

the experimental stat i ons (X) are not evenl y d i stri buted around the

regress i on l i ne

Orthophosphorus concentrat i ons on th i s occas i on were l ower i n

the experi mental transect but onl y by 0 002 mgl l ess than the l i mi t of

detect i on Al kal i n i t i es at these stat i on s were h i gher than sod i um

concentrat i on s mi ght pred i ct by about 9 mgl as CaC03 Duri ng January

n i tri te - n i trogen was al so l ower at the harvested stat i ons than woul d be

expected on the bas i s of d i l ut i on al one but aga i n by l ess than the l imi t

of detect i on

As troph i c states and nutri ent l i mi tati ons wi thi n Lake Okeechobee

area of concern rati os of d i ssol ved and i norgan i c n i trogen to phosphorus

spec i es were cal cul ated and summari zed i n Tabl e 4 1 3 On a we ight bas i s

systems wi th rat i os l ess than 1 0 are typ i cal l y cons i dered n i trogen

1 i mi ted wh i l e phosphorus 1 im i tat i ons occur at rat i os greater than 1 7

( Sakamoto 1 966) Wi th th i s cr i teri on the waters o f the study s i te are

cl earl y n i trogen l imi ted i n contrast to al gal assays performed i n the

v i c i n i ty duri ng 1 974 and 1 975 ( Dye et al 1975 ) These resul ts have the

most consequences for phytopl ankton popul ati ons rather than macrophytes

as the rooted pl ants are capabl e of extracti ng at l east some i f not the

majori ty of thei r requ i red nutri ents from the hydroso i l

4 - 19

The stati st i cal anal yses d i scussed earl i er for the i ndi vi dual

parameters determi ned i norgan i c ni trogen spec i es to be h i gher i n the

unharvested control stat i ons and orthophosphorus to be s l i ghtl y l ower

ANaYA s of N P rat i os al so found s i gni fi cant d i fferences The treatment

( harvested or unharvested ) or stat i on was more important than date i n

account i ng for vari ati on Al l September and January sampl i ngs combi ned

produced mean N P rat i os for the harvested stat i ons ( 7 - 9 ) of 3 0 and for

the unharvested d i fferences coul d be attri buted e i ther to uptake by

act i vel y growi ng p l ants or to rel ease of nutri ents by senescent p l ant

materi a 1 Oi fferences between harvested and nonharvested areas were

l east apparent duri ng the January sampl i ng when ri s i ng l ake l evel and

Hydri l l a regrowth combi ned to i ncrease stat i on to stat i on phys i cal

s i m i l ari t i es

E 2 Bacteri ol ogi cal Parameters

Resul ts of total col i form anal yses (membrane fi l ter techn i que) of

sampl es col l ected on August 18 September 1 7 22 30 1987 and January 13

1 988 appear in Tabl es 4 1 4 After the August fi e ld effort sampl es were

col l ected i n conjuncti on wi th the phytopl ankton work and al l sampl es were

anal yzed by EQL Overal l bacteri ol ogi cal qual i ty was qu i t e good wi th

on ly a s i ngl e sampl e exceed i ng the 1000 counts per 100 ml cri teri on for

Cl ass I waters Th i s s i ngl e val ue of 5000 (Stat i on 1 1 September 30

1 987 ) was cl as sed as a stat i st i cal outl i er for the study as a whol e The

other two val ues from sampl es col l ected s i mul taneously were 900 and

100100 ml Most stat i on means were bel ow 200 countslOa ml

Stat i st i cal anal yses of these data empl oyed natural l og

transformat i on s Two way ANaYA s (by date and treatment and by date and

s t at i o n ) prod uced s i gn i fi cant terms for date and i nteract i ve

rel at i onsh i ps however nei ther harvesti ng nor stat i on accounted for

s ign i fi cant amounts of vari at i on Further anal yses cons i sted of mul t i pl e

l i near regress i ons of l og transformed total col i form counts aga i nst BOD

turb i d i ty total suspended sol i d s sod i um and chl ori de content ( as water

mass i ndi cators ) col or and s i l i cates A s i gn i fi cant regress i on model

whi ch i ncl uded BOD col or and TSS was obtai ned (r2 = 0 255 n 72) A

4 -20

d i rect rel ati onsh i p wi th BOD was not surpri s i ng The vari at i on wi th

col or val ues may be support for runoff control l ed bacteri a l evel s in the

l ake i ncreas i ng duri ng peri ods of h i gh d i scharge or backpump i ng (wh ich

are themsel ves characteri zed by i ncreased col or l evel s from t he

accumul ated surface waters An i nverse rel at i onsh i p w i th TSS l evel s was

l ess amenabl e to i nterpretat i on and i s l i kely to have been an art i fact of

some other control l i ng i nfl uence

IV E WATER QUALITY IMPACTS - QUALITY ASSURANCE OBJECTIVES

Prec i s i on and accuracy targets and resul ts for in ll1Y water

qual i ty parameters are presented in Tabl e 4 1 5 Prec i s i on est i mates were

based on dupl i cate in 1iY determi nat i ons expressed as percent rel ati ve

standard devi at i on (S RSD) Measurements at one stat i on per day were

typ i cal l y repl i cated i n thi s fash i on Prec i s i on est i mates for fi el d

measurements necessari l y i nc l uded the representati veness of the sampl i ng

as any non - homogene i ty of the s i te bei ng sampl ed appeared i n these

resul t s

Accuracy was determi ned from both pre- and post - sampl i ng

cal i brat i on of i nstrumentati on and where appl i cabl e the s i mu l taneous

col l ect i on of sampl es for l aboratory analysi s wi th al ternate procedures

or equ i pment Thi s was expressed as percent recovery ( R) of

f i el dl aboratory val ues t i mes 1 0 Col l ect i on of sampl es for

veri f icat i on was typi cal l y conducted at a rate of 1 for every 1 0 stati ons

samp l ed For th i s project di ssol ved oxygen and conducti v i ty were so

veri fi ed

Comparabi l i ty o f data was veri fi ed duri ng the pre- and postshy

sampl i ng cal i brati ons of i nstrumentat i on aga i nst standard sol ut i ons or

phys i c al constants Compl eteness of in 1iY data was esti mated to be

greater than 88 throughout the sampl i ngs to date

The qual i ty assurance object i ves for l aboratory anal yses were

anal ogous to those d i scussed for the i n s i tu parameters and are l i sted i n

Tabl e 4 14 Prec i s i on esti mates were determi ned from the anal yt i cal

resul ts and SRSD between the concentrati ons of two al i quots of a s i ng l e

conta i ner Dupl i cate analyses were performed at a rate of at l east one

4 - 2 1

for every ten sampl es The RSD between sampl es only sl i ghtly above the

l i mi t of detect i on i s often qu i te h i gh al though the analys i s i s

extremel y prec i se ( L e 0 001 and 0 002 11191 47 1 RSD ) Some mean

tRSD val ues and SD val ues are skewed by these seemi ngl y i mprec i se

dupl i cates that are actual l y wi th i n QA l i mi ts Accuracy of analyses was

assessed by the analys i s of sampl es to wh i ch known amounts of standard

materi al s had been added

IVG I NTERIM SUMMARY AND CONCLUSIONS

The study area i mmedi ately south of the entrance of the Ki s s 1mee

R i ver i nto Lake Okeechobee represents a compl ex combi nat i on of factors

wi t h regard to water qual i ty Vari at i ons with t i me were observed for

almost al l parameters measured D i ssol ved oxygen v i ol at i ons of the 5 0

11191 i nstantaneous cri teri on were common and d i urnal cycl es of DO and

rel ated parameters were apparent The skew i n sampl i ng t i mes toward the

morn i ng hours undoubtedly i ncreased the number of observed v i ol at i ons

a l though sampl i ng l ater i n the afternoon woul d i ncrease the percent

saturat i on of d i ssol ved gases and val ues i n excess of the 1 10 cri terion

wou l d have resul ted

In li1Y parameters were i n i t i al l y eval uated for stat i st i cal

d i fferences between harvested and unharvested stat i ons as a grou p

Di fferences i n DO percent saturat i on and p H were observed and were most

marked at the bottom of the water col umn and duri ng the September

sampl i ngs Pred i ct abl y harvesti ng reduced the ampl i tude of the d i urnal

DO cycl e such that DO concentrat i ons were h i gher i n the harvested

transect i n the morn i ng hours and l ower duri ng the afternoon Both the

magn i tude and the d i rect i on of the observed d i fferences were therefore a

funct i on of the t i me of sampl i ng

A rap i d change i n water masses was al so observed at harvested

stat i ons and th i s was attri buted to the i ncreased fl ush i ng potent i al

produced by Hydri l l a removal Inten s i ve surveys detected vert i cal

grad i ents of s i mi l ar magn i tudes for i n s i tu parameters at both harvested

and control stati ons The s i ze of the harvested transect may have been

too smal l to al l ow wi nd-generated vert i cal mi xi ng to be effect i ve

4-22

Bacteri ol og i cal water qual i ty at the s i te was good overal l wel l

wi th i n the 1000 1100 ml cri teri on and correl at i ons w ith col or BOD and

TSS were present Col or rel at i onshi ps i ndi cate a functi onal rel at i onsh i p

of total col i form wi th d i scharge i nto the l ake whi l e the rel at i onsh i p

wi th TSS was i nverse

Chemi cal water qual i ty d i stri but i ons at the s i te were a l so qu i te

compl ex Spat i al and d i l uti on grad i ents produced by the i nfl uence of the

K i s s i mmee Ri ver were qu i t e apparent as determi ned by conservat i ve

parameters such as sod i um and chl ori de The d i l ut i on grad i ents were

roughl y paral l el wi th the l ong axi s of the harvested transects such that

a progress i on of i ncreas i ng strengths of Lake Ri ver d i l ut i ons were

observed al ong both the experimental harvested transect and the adjacent

unharvested control transect Thi s transl ated to a h i gh wi th i n -treatment

va ri a b n i ty of water masses compared to the between- treatment

vari abi l i ty wh i ch i n turn may obscure d i fferences between harvested and

unharvested areas i n stra ightforward stat i st i cal compari sons

Overal l stat i sti cal techni ques were sat i sfactory because the

number of sampl es adequate for determi ni ng di fferences i n concentrat i ons

was at or near the analyt i cal l imi ts of detect i on The three stat i st i cal

anal yses were 1 ) d i rect compari sons (means test i ng and ANOVA s ) of

harvested to unharvested data sets 2) ana lys i s by d i fference of stat i on

pa i rs ( harvested l ess the adjacent control stati on) and whether

d i fferences were stat i sti cal l y d i fferent from zero and 3) res i dual s

anal ysi s of those parameters wi th a s ign i fi cant rel at i onsh i p w i th sod i um

and whether the popul ati on of res i dual s from control stati ons was

equ i val ent to those from the harvested stati ons

Ana lys i s of harvested versus unharvested data groups by parameter

reveal ed s i gn i fi cant d i fferences between treatments for al l n i trogen

spec i es total phosphorus BOD turb id i ty and total suspended sol i ds

These d i fferences are i n sp i te of the broad envel ope i n water qual i ty

conta i ned wi th i n each treatment type However d i rect compari sons and

correct est i mati on of the magni tude of harvest i ng impacts are poss i bl e

onl y where the water masses of the two treatments can be assumed to

represent equ i val ent po i nts on the d i l ut i on grad i ent

The d i fference i n sod i um and chl ori de concentrat i ons between each

harvested stat i on and i ts adjacent unharvested stat i on was cal cul ated

For al l dates these d i fferences were equ i val ent to zero mean i ng that

the water mass was i dent i cal at Stati ons 7 and 10 at Stat i ons 8 and 1 1

and at Stat i ons 9 and 1 2 The d i fferences i n concentrat i ons between the

stat i on pai rs cou l d then be calcul ated Al l n i trogen spec i es and total

phosphorus concentrat i ons were typ i cal l y h i gher i n the unharvested

transect On the one occas i on where orthophosphorus d i ffered between

treatments i t was s l i ghtl y h i gher i n the harvested transect Turbid i ty

and BOD were al so h i gher at the control stat i ons wh i l e total suspended

sol i ds were sl ightly l ess Uptake by macrophytes i n act i ve regrowth

rel ease o f nutri ents by senescent and matted pl ant mater i al and wi nd shy

generated resuspens i on may account for thi s pattern

Ana lys i s of those parameters associ ated wi th d i l u t i on and of those

wi th s i gn i fi cant correl at i ons wi th sod i um proved l ess sens i t i ve for

detect i ng d i fferences Al though many parameters d i spl ayed s i gn i f icant

rel at i onsh i ps the i r d i stri but i on around the regress i on l i ne was

cons i derabl e and res i dual popul at i ons were s i gn i fi cantly d i fferent

between treatments for only three parameters

The s i te as a whol e appeared to be n i t rogen 1 i mi ted based on

we i g ht r at i os of i norgan i c n i trogen forms to orthophosphorus

O i fferences between harvested and unharvested areas were apparent here

al so w i th average rat i o s of 3 0 and 9 4 respect i vely

IVG RECOMMENDATIONS - FINAL REPORT

For the rema i n i ng two quarterly sampl i ngs i n th i s task a

real l ocat i on of effort i s proposed wh i ch woul d del ete copper and fl uori de

from the anal yt i cal su i tes These two parameters were e i ther at or near

the 1 im i ts of analyt i cal detect i on for al most al l s ampl es and

stat i sti cal analyses were not effect i ve i n determi n i ng any d i fferences

attri butabl e to harvest i ng at these l ow concentrat i ons N i tri teshy

n i trogen however shoul d be reta i ned Al though l evel s were l ow they

are i mportant i n th i s n i trogen 1 i mi ted system and d i fferences between

treatments were apparent The Ki ss i mmee R i ver stat i on shou l d cont i nue to

4-24

be sampl ed and another stat i on shou l d be added to the west of Stat i on 1

toward Buckhead Ridge as an i ntermi ttent nutri ent i nput may be present

there Mon i tori ng of these two add i t i onal stat i ons shou l d cont i nue for

al l parameters In pl ace of copper and fl uor ide anal yses d i ssol ved

cal c i um i s suggested as a repl acement to prov ide a bas i s of compari son

wi th other work done prev i ously i n the l ake and to exam i ne i ts behav i or

across the s i te The poss i b i l i ty of mov i ng the exper imental and control

stat i on pai rs ( Stat i ons 7 - 1 2 ) to the most recently harvested area for the

subsequent sampl i ng i s currentl y be i ng d i scussed wi th the task l eaders of

the i nter-rel ated tasks

Future data exami nat i ons wh i ch wi 1 1 be conducted for the fi nal

report of th i s project i ncl ude the deta i l ed assessment of l i ght

penetrat i on profi l es and the effect of the weed mat upon these The data

from the 24 hour fi el d demonstrat i on sampl i ng wi l l be eval uated w ith

regard to chemi cal parameters and the i mmedi ate effects produced by

harvest i ng S i l i cates col or and i norgan i c carbon data wi l l be

processed as wi l l the rema i n i ng parameters for d i fferences between

experi mental and control stat i on s and a further anal ys i s of d i ssol ved

oxygen wi th cons i derat i ons for t i me of day vegetat i on and even sed i ment

type wi l l be conducted

4-25

LITERATURE CITED

Dye C W D A Jones L T Ros s R L Wi l l more 1 975 L imi t i ng nutri ents i n the Ki ss i llll1ee Ri ver - Lake Okeechobee Bas i n based on al gal assay techni ques Fl a Dept Envi ronmental Regul at i on Sakamoto H 1 966 Pri mary product i on by phytopl ankton conununi ty i n some Japanese l akes and i ts dependence on l ake depth Arch Hydrobi ol 62 1 - 28

4-26

Table 4 1 Mean IDran coordinates of water quality staticns

STATIOO NO

1 2 3 7 7 5 8 9 10 10 5 11 12 13 15 16

Ipound)RAN 1 JPRAN 2

14313 2 45453 2 14312 6 43449 1 14312 4 43445 9 14313 6 43449 1 14313 4 43448 2 14313 2 43447 7 14312 9 43446 1 14313 7 43448 5 14313 5 43447 7 14313 4 43447 3 14312 9 43445 7 14315 1 43444 6 14313 9 43443 2 143109 43437 8

Table 4 2 water Quality parameters methods ard holdirq times

Parameter

TeJlFerature Corrluctivity pi ORP Dissolved Oxygen Light Penetratim Secxhl laboratory 0rthqil0spl0rus (D) Total AlosJtIorus (D) AImalia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrogen (D) Total Kjeldahl Nitrogen ium (D) Ccgler (D) Iran (D) Total OJgan1c carbon Alkalinity Biochemical Oxygen DeuanI lu1)idity SUspenled Solids Ibtal Ollifonn auoride Scdium Fluoride Color silicates (D) Inorganic Cartlon

MetbodlInstrument

Martek Mark VII Martek Mark VII Martek Mark VII Martek Mark VII YSI 57 LiOlr Secxhl Disk (LiDngtlogical)

EPA 365 1 365 3 EPA 365 3 365 4 SM 417F EPA 350 3 EPA 353 3 353 3 EPA 353 2 353 3 EPA 351 2 SM 30lA SM 303A B SM 303A B EPA 415 1 8M 403 4C EPA 3102 EPA 405 1 EPA 180 1 SM 2090 8M 908A 909A SM 4070 EPA 325 3 SM 303A EPA 3402 SM 204A B EPA 370 1 SM 425C EPA 415 1

Holdirg TimePreservative Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable

Filter iDmSdiately 48 hrs4Oc 28 daYSH2S04 to pllt2 40c Filter bImadiately 28 daYSH2S04 to pllt2 40c Filter bImadiately 48 hrsH4 to pllt2 40c Filter iDmSdiately 28 daYSH4 to pHlt2 40c 28 daYSH2S04 to pllt2 40c Filter iDmSdlately 6 1IDSIftll) to pllt2 40c Filter iDmSdiately 6 1IDSIftll) to pllt2 40c Filter inmediately 6 1IDSIftll) to pHlt2 40c 28 daYSH2S04 to pIlt2 40c 14 days4oC 48 hrs4Oc 48 hrs4Oc 7 days4Oc 6 hrs4Oc 28 days4Oc Filter inmdiately 6 lOOIlthslftll) to pIlt2 40c 28 days4Oc 48 hrs4Oc 28 days4Oc 28 days4Oc

EPA = EPA 6004-7920 Methods for OJemical Analysis of water ard wastes SM = stanIard Methods for the Examination of water ard wastewater 15th Fdition 1980 (D) = Dissolved

Tabl e 4 3

Date

Aug 18 1987

Sept 17 1987

Sept 22 1987

Sept 30 1987

Oct 28-29 1987

Jan 13 1988

Sampl i ng efforts and dates Water Qual i ty Tas k

Sampl i ng Type

Basel i ne

Short Term Impacts

Short Term Impacts

Quarterly

F i el d Demonstrat i on

Quart erly

No of Stat i ons

9

6

6

12

6

12

No of V i al s

1

1

1

1

6

1

Table 4 4 site averages of in situ parameters by sanplirg date all stations all depths

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 28 18 18 36 144 68

2 SD 2 S D 2 S D S( S D S( S D 2 SD

onluctivity 0 5350 0661 0 5397 0351 0 5074 0550 0 4985 0517 0 3921 0731 0 3017 0895

ORP 493 109 441 42 298 77 293 47 295 31 247 55

Pi 8 02 0 55 8 27 0 34 7 56 027 7 47 043 7 72 0 51 7 59 0 30

lenperature 28 95 144 27 34 0 50 27 23 054 26 67 041 23 11 099 16 67 078

Dissolved Oxygen (00) 5 02 3 20 3 51 2 20 2 87 1 32 5 11 2 28 664 2 25 8 16 1 58

PeJta1t SaturatiCBl 66 1 42 9 44 4 27 9 36 3 16 7 64 0 28 6 77 8 269 84 0 16 7

00 cbs lt1 0 nql 128 318 218 336 0144 168

00 cbs lt4 0 nql 1428 U18 1318 936 14144 168

00 cbs lt5 0 ugII 1428 1218 1618 1536 41144 268

Table 4 5 Site averages of water quality parameters by sanplirg date all stations all depths

1987 l2sectsect AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 39 18 18 48 7 3 54 K SD K SD I SD K S D K SD K SD

0rthqil0sJil0 0 019 0 007 0 017 0 005 OOll 0 003 O OlS 0 014 0 033 0 011 0 082 0 045 Total rus 0 07 0 11 0 10 0 01 0 08 0 01 0 09 0 03 0 12 0 06 0 15 0 05

Anrncnia-nitrogen 0 039 0 018 0 04 5 0 042 0 017 0 012 0 012 0 017 0 040 0 029 0 04 6 0 036 Nitrite-nitrogen 0 004 0 001 0 005 0 004 0 004 0 001 0 003 0 003 0 004 0 001 0 008 0 004 Nitrate-nitrite-nitrogen 0 009 0 003 0 034 0 036 0 039 0 021 0 048 0 046 0 038 Q 019 0 190 0 039 Total Kjeldahl nitrogen 1 52 0 26 1 75 0 15 1 55 0 28 1 47 0 18 1 29 0 20 1 20 0 17 Potassium 4 4 0 9 4 7 0 3 4 5 0 3 4 2 1 0 2 9 0 5 3 9 1 0

Cqpar 0 003 0 002 0 003 0 002 0 003 0 001 0 002 0 001 0 001 0 001 0 002 0 002 Iron 0 002 0 002 0 014 0 007 0 014 0 007 0 015 0 019 0 048 0 018 0 090 0 031 ampxlium 4 8 9 7 6 47 3 4 6 46 9 4 7 49 0 9 4 31 0 8 9 28 2 8 1 Olloride 8 5 8 13 1 79 6 6 4 76 5 8 6 76 2 10 0 55 9 14 9 48 2 16 7 Fluoride 0 3 0 03 0 3 0 05 0 3 0 03 0 3 0 04 0 1 0 03 0 2 0 03 lbtal organic carlxln 2 1 7 1 6 17 9 0 9 18 1 0 8 18 4 1 0 19 7 2 5 18 4 3 0 Alkalinity 105 14 117 5 113 8 1U 10 7 3 15 68 lS Biochemical oxygen deHard 1 9 1 0 2 7 1 3 2 2 0 6 2 3 1 2 1 5 0 7 1 1 0 6 lubidi ty 2 4 1 9 4 2 0 9 4 1 1 5 4 0 2 9 3 1 2 5 3 7 2 1 Total susperded solids 3 3 3 3 6 0 2 3 5 7 2 4 6 3 4 7 4 5 3 9 3 1 4 1 Oller 61 5 66 9 81 9 113 10 silicates 12 8 2 2 13 1 2 2 12 0 3 0 5 4 0 5 Inorganic carlon 17 4 4 3 19 9 2 8 20 4 4 4 11 9 5 2

11=18

Table 4 6 site averages of water quality parameters for the KissiJulse River by sanpling date

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 JAN 13

0 032 0 096 0 12 7 0 116 0 063 Total (ilcsphorus 0 09 0 18 0 20 0 20 0 12 Almalia-nitrcgen 0 021 0 036 lt0 005 0 017 0 069 Nitrite-nitrcgen lt0 005 lt0 005 lt0 005 lt0 005 0 027 Nitrate-nitrite-nitrogen 0 012 0 009 0 072 0 188 0 151 Total Kje1dahl nitrogen 0 51 1 39 1 40 1 12 1 08 Ibtassium 3 7 3 6 3 5 2 9 3 2

((gler 0 003 0 003 0 004 0 001 lt0 001 Iron 0 008 0 085 0 095 0 172 0 225 Sodium 3 3 4 2 6 5 24 2 2 1 0 15 0 Olloride 60 6 47 8 4 1 9 38 7 23 7 Fluoride 0 3 0 3 0 3 0 2 0 2 Total organic cartxn 19 6 19 5 19 9 18 8 17 4 Alkalinity 89 7 3 66 57 34 Biochemical oxygen daDaM 2 4 3 0 1 5 1 3 0 5 lJnbidity 3 0 3 9 2 7 2 3 2 3 Total suspenied solids J 9 4 8 4 0 2 5 2 0 Color 110 130 130 125 Silicates 6 58 6 42 5 67 3 17 Iooxganic carbon 4 4 9 6 7 2 1 1

Tabl e 4 7 S i g n i f icant F middot test rat i os for two-way ANOVA s by treatment and samp 1 1 ng round for in illY data co 1 1 ected duri ng fi el d demonstrat i on samp l i ng October 28-29 1987

FmiddotTET RAT IOS

TREATMENI ROUND INTERACTION (Exp vs control ) (1-5 only ) (Treatment x Round )

CONDUCTI V lTV Surface 25 99 1 14 56 Bottom 28 3 5 4 26 1 6 73

ORP Surface 2 1 10 Bottom 5 35

pH Surface 32 67 33 10 Bottom 1 1 1 5 4 5 1 4 48

Temperature Surface 104 64 Bottom 21 95 1 1 73 8 17

D i s sol ved Surface Oxygen Bottom 14 1 5 7 98 5 20

Saturat i on Surface Bottom 7 66 3 87

df df error bull 20 F 0 05 [df 20 ] bull

1

4 35

4

2 87

4

2 87

Table 4 8 Significant F-test ratios fnD two way analysis of variane by date ani treatment statiCllS 7-12 only Septedler 17 22 30 1987 ani JanJaIY 13 1988 data

rus dissolved Total pnsphorus Anroonia-nitrogen di ssolved Nitrite-nitrogen dissolved Nitrate-nitrite-nitrogen dissolved Total Kjeldahl nitrogen RltassilDU di ssel ved Cqpr di ssolved Iron dissolved Total organic car1xXl Alkalinity Biochemical oxygen demard TUlbidi ty Total suspenied solids Chloride SOdilDU Fluoride

Degrees of freedaD

Degrees freedan of error = 64

F 0 05 [df 60]

595 12 31 05

4 09 96 71 51 06 31 28

225 02 6 34

424 47 23 36 18 32 28 69

171 46 145 71

49 55

3

2 76

lREMMENl ( vs cxmR)L)

10 24 4 81

17 59 12 57

6 75

6 31 24 03 22 36

1

4 00

3 89

4 64 4 94 5 08

3

2 76

Table 4 9

09-17-87

09-22-87

09-30-87

01-13-88

x = -0 1778 S = 2 7444

Scxtium statioo means Harvested ani unharvested statioo pairs

ScxUum station Means Difference

ExIJerirental COntrol (E-C)

44 5000 42 4000 2 1000 44 3667 4 8 9000 -4 5333 4 9 9667 53 6000 -3 6333

4 3 3000 4 3 9333 -0 6333 4 6 7333 4 2 4000 4 3333 53 1667 51 9333 1 2334

4 1 7667 4 2 5333 -0 7666 4 2 4333 46 0333 -3 6000 4 5 9333 44 2000 1 7333

2 3 4000 2 1 6667 1 7333 25 8667 24 3667 1 5000 26 4333 28 0333 -1 6000

Units are rrgJl

Sn-l

-2 0222 3 5982

2 1611 2 4800

-0 8778 2 6684

0 5444 1 8608

Table 4 10 Chloride statioo means Harvested ani Ulharvested statioo pairs units are ugll

Chloride station Means Difference

Experimental orttrol (E-C)

09-17-87 74 8000 75 4000 -0 6000 78 5000 74 5667 3 9333 0 1444 3 4769 85 5667 88 4667 -2 9000

09-22-87 67 8000 77 0667 -3 2667 74 2000 71 0333 3 1667 1 5778 4 2774 89 9333 85 1000 4 8333

09-30-87 70 1333 71 0667 -0 9334 71 5667 72 3000 -0 7333 -0 4333 0 7000 7 3 3000 72 9333 0 3667

01-13-87 38 2667 3 6 8000 1 4667 44 2000 40 7000 3 5000 1 6556 1 7576 4 3 7000 43 7000 0 0000

Table 4 11 Magnitude of significant differerrss between means of experimental ani onbol transects CCI1igtined ani tri individual dates Units are Dgl

All dates 091787 092287 091087 011388

dissolved 0 002 Total (i1osIi1oros -0 010 -0 024 Almalia-ni trogen

dissolved -0082 -0 060 -0 016 Nitrite-nitrogen di sselved -o OOl -0 004 -0 002 -0 005 -0 001 Nitrate-nitrite-nitrogen -0 029 -oOl2 -0 077 Total Kjeldahl nitrogen -0 10 -020 Potassium di ssel ved -ol Copper dissolved Ian d j ssel ved Total otganic carbal Alkalinity Biodlemical oxygen demand -05 -1 7 llrbidi ty -1 5 -1 l -l 6 Total suspenJed solids 4 7 4 7 4 8 7 0 2 5 OJloride 17 Sodium Fluoride OOl

nql as caC03 NIU

Table 4 12 Reqressioo type ani oorrelatioo ooefficients (r) of sodium vs parameters listed by date r 95 = 0 381 r 99 == 0 48 7

dissolved Ibtal rus Anmlnia-nitnlgen di ssolved Nitrite-nitnlgen dissolved Nitrate-nitrite-nitroqen di ssolved Ibtal Kjeldahl nitroqen RgttassilDU djssolved Qgler di ssolved Iron di ssolvEd Ibtal organic carbon Alkalinity Bioci1emical oxygen demard llrbidity Ibtal suspeOOed solids Q1loride Sodium dissolved Fluoride

L - Linear IN - lDgarithmic E - Exponential P - IOwer

AOO 18 1987

[

E 0 4941

L 0 4816

p -0 8711

E -0 6102

p 0 9460

E 0 3801

SEP 30 1987 JNf 13 1988

[ r

IN -0 8223 L 0 9093 E -0 8675 L 0 8980

L 0 6168 IN -0 4739 E -0 6466

E -0 4185 L 0 8998 L 0 4144 L 0 9056

L -0 3802 IN -0 4440 E -0 3971 L 0 7797 IN 0 6093 IN 0 9617 E -0 5350 E -0 8068 E -0 7956 L 0 9608 IN 0 9619

n == 27

Tabl e 4 13

STA

7

8

9

10

1 1

1 2

Mean N i trogen Phosphorus rat i os by date for experimental and control stat i ons Inorgan i c and d i ssol ved spec i es only Un i ts are mgNmgP n-3 for each mean

SEP 1 7 SEP 22 SEP 30 JAN 1 3 II S D II S D II S D II S D

1 90 1 06 2 12 0 1 1 1 64 0 82 3 97 0 25

3 00 3 46 4 1 2 1 3 1 1 96 0 76 3 27 0 03

2 94 4 06 1 90 1 03 4 69 0 75 3 77 0 04

7 25 3 30 4 88 0 49 2 94 0 51 4 0 1 0 1 3

6 28 2 30 8 92 2 27 9 85 3 08 3 38 0 14

7 94 4 35 1 2 25 0 22 28 3 1 8 94 4 00 0 18

Table 4 14 Quality assuraJICIe targets and nasults for precision and aouracy lake Okeechobee

(D) Total Ftloeqilorus Al1mlnia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrite-

Nitrogen (D) lbtal Kjeldahl Nitrogen Rltassium (D) Cqpar (D) Iron (D) Total Organic carlxln Alkalinity Biochemical OXygen Demand l1rbidi ty Total SUspenled Solids Olloride Sodium (D) Fluoride Silicates (D) Inoxqanic carlxln Color Dissolved OXygen Carrlucti vi ty Tenperature PI

Precisicra

x RSD S D

3 5 3 5 5 6 7 8 1 2 5 7 4 5

2 4 4 5 7 8 3 3 3 3 12 13 2 2 4 5 13 11 1 2 4 5 3 2 5 6 2 3 4 4 2 2 3 2 3 4 13 11 1 2 3 5 5 8 5 4 2 3

Aauracy x Recovery SD

93 6 - 97 6 94 8 - 102 8 99 5 - 957 98 8

99 8 - 98 8 111 17 111 18 100 4 101 5 101 8 106 11

97 11 1004

99 6 99 7 104 5

98 12 96 8 97 11

102 7 101 12 102 5

99 4 99 3

RESUIIIS Precisicra Accuracy

n x RSD SD n x - Recovery

31 2 7 3 4 19 92 5 35 3 1 2 9 20 94 0 20 4 6 6 9 22 97 1 21 0 9 4 4 18 98 8

28 3 1 3 7 26 96 1 31 2 2 2 5 22 107 4 30 3 3 3 0 32 1002 34 4 7 7 0 23 100 3 18 3 9 3 0 23 98 1 86 3 1 2 6 26 98 3 24 98 2 1 95 33 1 1 71 6 3 10 9 28 2 4 2 5 29 8 6 6 1 30 0 26 0 5 19 96 3 3 3 1 9 2 3 31 93 7 30 2 6 2 2 17 1009 14 52 07 8 98 7 62 4 8 3 1 6 105 2 10 0 3 0 6 6 102 9

6 3 1 3 5 16 102 6 9 1 3 1 3 16 99 2

10 0 54 0 62 6 100 1 10 1 18 1 35 12 1007

SD

3 1 6 0

10 0 3 3

6 7 8 7

16 5 3 1

20 6 16 8

1 4

6 0 14 0 11 2

3 9 7 5

11 2 9 2 1 71 1 94 3 99

I I

1

H A R V E S T I N G T R A N S E C T S (l m E X P E R I M E N T AL T RA N S E C T S

middot middot middot middot middot middot middot middot middot middot A PP R OX I M A T E W E E D L I N E

I - I t middot I I I I I )-I t-I sect )- 0

f- 0 Z LIJ J LIJ 01 a o 0 C) l LlJ O degl LIJ laquo LIJ J1 w 0

middot

middot middot

1111 111 bull

m

middot

middot

middot

LAKE OKEECHOBEE

-

N O R T H L A K E S HO A L

F i g u re 4 1 P ro p o sed harves t i ng a rea La ke O keechbee Demo n s t ra t i on Proj ec t

Fi g u re 4 2 Proposed harvest i ng a rea Lake Okeechobee Demonstra t i on Area

M A R K E D S U P PORT ---- t

LIN E

OUTER POLYETHY L E N E

S C R E EN (COA R S E)

TYGON I-----TUBING

)----- CLA M P

INNER POLYETHYL E N E

S C R E E N (093 0 m m MESH)

RoH----- PVC BODY AND END CAPS

-----OPT IONAL W E IGHT

F i gure 4 3 Weed excl uding device for water samp l e col l ection

[=J H A R V E S T I N G T R A N S E C T S 1 1 E X P E R I M E N T A L T R A N S E C T S A PP R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

middotmiddot 1 I middot D r nnn I 2 - I UUU I

1 I-

I I I I I I sect

gt- 1 0 I- 0 ZI UJ l UJ degl aJ o 0 en I UJ 0 Cl UJ laquo UJ -J I (I 0

-

N O R T H L A K E S H O A L

Fig ure 4 4 Bas e l ine sam p l ing S tation locations Aug u s t 18 1987

H A RV E S T IN G T R A N S E C T S

Im1 E X P E R I M E N T A L T R A N S E C T S

A P PR O X I M A T E W E E D L I N E

J 1

t middot I I I I f I 1 )shyI I-I

)- 1 0 I- U zl LaJ J LaJ degl aJ U 0 ClJI J LaJ U c lIJ ct lIJ

-I I 0 () O

LAKE OKEECHOBEE

u middot

N O R T H L A K E

S H O A L

( t _ _ -J--=--=r= _ _ _ C_OJlt bull bull t== a _ 1 _ ___ - _

_ If-_r-=-

-

F i gu re 4 5 Immed i ate i mpacts s amp l i ng S ta ti o n l ocati on s September 1 7 22 1 987

U C I bull

UC2 bull

U C 3 bull

Fi gu re 4 6 Fi e l d demons tra ti o n samp l i ng Sta t i on l oc a t i ons Oc tober 2 8 29 1987

Di sso lved Oxyg e n 1 4--------------------------------------------------------

1 2

1 0

8 -

6 middot

2--------_----------_-------------------------- 1 2 3 4 5 6

Ro u n d

-e- C 1 - S u rface o C 1 - Bottom

bull UC 1 -Su rface UC 1 -Bottom

F i g u re 4 7 Fiel d demons trati on samp l i ng Di ssol ved oxygen a t ha rvested (C) a nd unha rvested ( UC ) sta ti ons over a 24 hr peri od Uni ts are rug l

C on d u ctivity 6 bull CJ - S u rfa ce

B CJ-Bottom

bull UCJ-Surface

55 lIP U C3 -8ottom

5

45 -

4 --

35

3-----------1r----------r-------------------------

1 2 4 5 6

R o u n d F i gure 4 8 F i e l d demons tra ti on samp l i ng Conduc t i v i ty a t harve s ted ( C ) a nd u nha rves ted ( UC ) s ta t i on s over

a 24 hour peri od Un i ts a re mmho scm

2 6 Tem p e ratu re

C3- Surface

B C 5 -Bottom

-- UC3-Surlace

25 UC3- Bottom

2 4

w-------- 23

2 2

2 1

20+-----------------------------------------------

1 2 5 4 5 6

Rou n d F i gure 4 9 F i e l d demonstra t i o n sampl i ng Tempe ra tu re a t ha rves ted ( C ) a nd unha rvested ( UC) s t a t i o n s

over a 24 hou r per i od Uni t s a re degrees C

O R P 350 bull C2-Surfoce

D C2- BoUom

bullbull bull UC2-Surfo ce

bull U C2 - BoUom

300 -

250

2 00

1 50+-------T------------------------------------- 1 2 3 4 5 6

R o u n d F i g u re 4 1 0 F i e l d demo n s t ra t i on samp l i ng Oxi da t i o n re duc ti o n potenti a l a t ha rve s t ed ( C ) a n d u n h a rve s ted ( UC )

sta t i o ns over a 24 hou r peri o d Uni ts a re mv

pH 9----------------------------------------------------------

8 5

e

7 5 -

7

6 5 -

------II------bull -

-----

6-------------------------------------------------- 1 2 3 4 5 6

R o u n d

bull C 2 - Su rioce

D C 2 Bottom

- U C 2 - S u rfa ce

UC2- Bottom

Fi gure 4 1 1 F i e l d demo ns t ra t i on samp l i ng pH a t harves ted ( C ) a nd unha rve s ted ( UC ) sta t i o n s over a 24 hou r per i o d Un i ts are s ta nda rd u n i t s

A

8

x c cu

cu

E tU shy

tU a

x c cu

cu

E tU shy

tU a

- 9 5 96 e J

- 95 96 CJ

bull Unharvested (control) station

x Harvested (experimenta I) station

bull Control station adjacent to harvested station

F i g u re 4 12 Hyp o t he t i ca l da ta i l l u s tra t t ng s od i um dependence of pa rameter X a n d p o s s i b l e e r ro r s i f u s i ng mea n s tes ti ng a l one fo r i mp a c t

d e termi na t i o n

F i g u re 4 1 3 D i s t r i bu ti on o f s od i um concen tra ti o n s Ja n 1 3 1988 Un i t s a re mg l

40

20

2 5

Fi gure 4 1 4 Sum of sodi um and chl ori de co ncentrati ons Sep 30 198 7 Un i ts are mi l l i shyequi va l ents l i ter

40

F i gu re 4 1 5 Di s tri bu t i on of sod i um c h l or i d e ra t i o s Sep t 30 1987

095

095

3

bull 1 2

0 x 9 x 8 IC) E 2 -J laquoI bull I I Z

x 7 bull 1 0

2 Experimental Control

F i g u re 4 1 6 Sta t i on mea ns of middot so d i um c o ncentra t i o n s for e x pe r i me n t a l ( ha rv e s ted ) a nd control ( u n ha rve sted) s ta t i o n s J a nuary 1 3 1988

Q en E

024

020

0 1 6

J a O 1 2 I

o a

008

004

000

bull control I harvested

bull bull

bull bull

------------------r---------------1 5 25 3 5 4 5 5 5 6 5 75

Na (mg()

F i g u re 4 1 1 Regre s s i on of sod i um vs o rthophospha te for con t ro l stati ons September 3 0 1 987

o 0) E

02 4

020

0 1 6

a 0 1 2 I v

o a

008

004

bull control l( harvested

ooo------------------------------------ 1 5 25 3 5 45 5 5 65 75

Na (mg l)

Figure 4 1 8 Reg res s i on of sod i um vs o rthophosphate for contro l s ta t i ons Janua ry 1 3 1988

Q -

0)

E

024

020

0 f 6

-

CL 0 1 2 I q

o a

008

004

bull control )I harvested

bull

bull bull

bull bull

000+---------1r------1 5 25 35 4 5 5 5 6 5 75

Na (mgI)

F i gure 4 1 9 Re gre s s i o n o f sodi um v s ort hophospha te for control s tati o ns with ha rvested s ta t i on data supe r i mpo sed Septembe r 30 1 987

V PHYTOPLANKTON I PRIMARY PRODUCTIV ITY STUDIES

V A INTRODUCTION

The experimenta l des i g n of th i s port i on of the i nvesti gati ons u t i l i zes

three pa i rs of stati ons to compare popu l at i ons and product i v i ty i n the

heavy vegetated versus harvesteq areas Thi s des i gn was sel ected to

i denti fy both the di fferences between harvested and vegetated areas as

we l l as responses to grad i ents ( rel ati ng to vegetati on andor water

qual i ty ) that may ex i s t a l ong the approx i mate two mi l e path of the

transect Under und i sturbed cond i ti ons d i sti nct d i fference between

heav i ly vegetated areas and open water mi ght be expected wi th regards to

both pri mary producti on and spec i es compos i ti on Such patterns cou l d be

expected to resu l t from the combi ned i nfl uences of reducted 1 i g h t a nd

i ncreased habi tat for peri phyton i n areas heav i ly vegetated by emergent and

submergent vegetati on

The sel ected sampl i ng strategy for assess i ng

phytopl ankton communi ti es empl oys a two-fol d approach

i nfl uences on

Three sets of

i ni ti a l sampl i ngs were made a t approxi mately one wee k i nterva l s i n

September 1987 ( the 17th 22nd a nd 30th ) i mmedi ately fo l l owi ng harves t i ng

of the transect to assess s hort-term affects These are to be fo l l owed and

compl emented by three seasona l l y based sampl i ng peri ods The seasonal

sampl i ng t imes were se l ected to correl ate wi th the peri ods of l ow

temperatu re and l i ght (January - 13th ) the nonna l Spri ng phytopl ankton

i ncrease (Apri l ) and h i gh l i ght a nd temperature (June ) These three

sampl i ng t imes wi l l prov i de the seasona l ly i mportant po i nts i n the a nnua l

cycl e of producti v i ty

5 - 1

The fol l owi ng observed qual i tat ive di fferences i n vegetati on patterns

between s tati ons and sampl i ng dates shou l d be noted when eva l uati ng

measured quant i tati ve d i fferences

1 ) l arge amounts of part i c u l ate matter ( probab ly resu l ti ng from the harvesti ng wh i ch was occurri ng in immedi ately adj acent areas ) was present i n the water col umn on September 17th and 22nd and to a somewhat l es ser degree on September 30th

2 ) regrowth of the harvested transect was a l ready apparent by September 30th Thi s comb i ned wi th the the norma l w i nter d ie-bac k of vegetati on i n the untreated control area s resu l ted i n l i ttl e apparent d i fference i n aquatic weeds between harves ted and non-harvested areas by January 13th

3 ) when station 7 was acc i dently harvested a second t ime s tat i on 7 5 was added i n a comparabl e l ocati on a l ong the treatment transect wh i ch had only been harvested once

Analysi s of popu l at i on s tructure based on i dent i fi cati on to the genus

( or l ower) l eve l are bei ng conducted i n conjuct i on wi th primary

producti v i ty measurements Di fferences i n phytop l ankton communi t i es

between vegetated and harvested areas were expected due to d i ffering

hab i tat Major changes were a l so ant i c i pated between the seasona l sampl i ng

peri ods as changi ng l i ght temperature and nutrient l evel s mi ght be

expected to affect both the structural re l at i ons h i ps ( d i atomgreenbl ue

green ) as wel l as the producti v i ty of the phytopl ankton popu l at i ons

I n order to quan t i fy t he wi th i n stati on vari abi l i ty of water qual i ty

chem i stry sampl es were col l ected i n tri pl i cate a t each samp l e s i te

V B METHOOS

B 1 Si tu Profi l es of Phys ical Parameters

Depth temperatu re d i s sol ved oxygen conduct i v i ty a nd pH were

measured i n s i tu wi th a Hydro l abtrade

Model 8000 sys tem or Surveyor Model

I I system Profi l es were made from the surface to the bottom i n O Sm

5 - 2

i ncrements at each sampl i ng s tati on l ocat ion Depth measurements were

determi ned on the bas i s of pre-measured marks on the u n i t s cabl e

Pre-sampl i ng i nstrument cal i brati ons were conducted wi th i n 24

hours pri or to use Temperature was measured wi th a l i near res i stance

thermi s tor factory ca l i brated and accurate to wi th i n plusmn0 2degC

Di s sol ved oxygen ( D O ) was measured wi th a temperature-compensated

pas s i ve pol arogra ph i c cel l whi ch meas ures the parti a l pressure of

oxygen as parts per m i l l i on ( ppm or mg l ) of oxygen plusmn0 2 ppm The

probe were cal i brated u s i ng the oxygen ten s i on of water-saturated a i r

( temperature corrected ) a s a standard

The conduct i v i ty probes are s i x e l ectrode cel l s and were

cal i brated aga i nst a KC l sol ut ion of known conducti v i ty Probe

response i s then tested w i th a sol ut ion of known l ow conducti v i ty to

ensure that the read i ng i s plusmn1 0 of the range sel ected The probes

are automati ca l ly temperature compensated to prov i de conducti v i ty at

25 degC

The Hydrol abtrade

pH probes a re g l as s KCl fi l l ed wi th s i l ver s i l ver

chl ori de reference e l ectrodes and refi l l abl e juncti ons They are

automati cal ly temperature compensated Two buffer cal i brat i on

procedures elllp l oyed s tandard commerc i al buffer sol ut i ons of 7 0 and

10 0 pH un i ts to wi thi n plusmn 0 1 the cal i l brati on accuracy of the probe

Ox i dati on-reducti on potenti al (ORP ) was measured u s i ng a

pl ati num-ti pped g l ass ORP probe and standard pHORP s i l ver s i l ver

chl ori de reference probe Convers i on of these ORP val ues to those of

a standard hydrogen el ectrode can be approx i mated by add i ng 200 mV to

the resu l ts from the s i l ve r s i l ver chl ori de e l ectrode

5 -3

B 2 Light Profi l es

L i ght i ntens i ty profi l es were conducted at each s tati on u s i ng a

LI -COR ( Model L I - 185B ) quantumrad i ometer photometer equ i pped wi th a n

underwater L I - 1925B quantum sensor to measure photosynthet ica l l y

act i ve rad i at ion L i ght i ntens i ti es (m icroei nstei nsm2

sec ) were

measured i n the a i r j u s t above the water surface aga i n just bel ow the

surface and at s i x sel ected depths ( 20 40 50 60 80 and 100 cm )

B 3 Primary Producti v i ty Incubati ons

F ive subsurface water samp l es were col l ected i n the area of each

stat i on l ocat i on These were randomly col l ected to account for

phytopl ankton patc h i ness The subsurface sampl es were pl aced i n f ive

repl i cate l i ght ll and two ( bl ac k pl ast i c d i pped ) II darkll ac i d-ri nsed

450 ml g l ass i ncuba t i on bottl es Each bott l e was then i nnocu l ated

wi th 10 mi crocuri es of trace meta l -free 14C ( to obta i n counts of

approx i matel y ten thousand counts per mi nute or CPM depend i ng on

phytop l an kton l evel s ) and then qu i ck ly repl aced to be i ncuba ted i n

s i tu at a depth of 0 2 meters for two hours ( see Fi gure 5 1 ) Al l

i ncuba t i on s were conducted wi th i n two hou rs of apparent noon to

standard i ze for known patterns of d i urnal peri odi c i ty i n phytopl ankton

product ion Cumu l at i ve l i ght l evel s duri ng the i ncuba t i on peri ods

were recorded us i ng a LI -COR i ntegrati ng quantum photometer After

i ncubati on al l s ampl es were pl aced i n the dark i n cool i ce ches ts and

qu i c k ly returned to a n on-s i te l aboratory fac i l i ty and prepared for

sci nt i l l a ti on count i ng

5 -4

FIGURE 5 1

u

If srru IfCUBATION RACKS

8 4 Pri mary Product i v i ty - 14C uptake

The fol l owi ng procedures were underta ken to determi ne the overa l l

rates of 14C f i xa t i on as wel l as those proport i ons attri butabl e to

the pi co- ( 1 ess than 5 mi cron ) nanno- ( 1 ess than 20 mi cron ) and

net-pl ankton ( g reater than 20 mi cron ) as wel l as the rel ati ons h i ps

between 14C uptake b i omass estimates and l i ght quanta Three

separate subsampl es were taken from each of the l i ght samp l e bott l e s

and processed as fol l ows

1 ) 50 ml i s fi l tered through a 2 4 cm Whatman GFC g l ass fi ber fi l ter us i ng l ow vacuum ( l ess than 2 PSI ) The wet fi ber fi l ter i s then pl aced i n a sc i nt i l l ati on v i a l and frozen unti l ready for ana lys i s To beg i n analys i s 0 5 ml of 0 1 NHC l i s added to each v i a l and a l l owed

5 -5

to stand for 3 hours before the add i t i on of 10 0 ml of s c i nti l l at i on fl uor 2 ) A second su bsampl e i s prepared i n the same manner as the fi rs t except pri or to fi l teri ng the 50 ml subsampl e i s passed throug h a 20 mi cron N i tex screen 3 ) The th i rd subsamp l e i s prepared i n a l i kewi se manner but passed throug h a 5 m i cron N i tex screen pri or to fi l teri ng Dark bottl es are fi l tered on ly as i n the fi rst exampl e Three corres pondi ng fl l ter bl anks for each s tati on are prepared by addi ng ten mi c rocur ies to a 450 ml i ce stored water sampl e ta ken at the same stat ion and then i mmedi atel y tak i ng three 50 ml subsampl es These are fi l tered as i n ( 1 ) above 4 ) After the add i t ion of the sc i nt i l l at i on fl uor the v i al s are a l lowed to dark adapt for at l east 24 hours before bei ng counted 5 ) Pri or to runni ng each set of sampl es background and known 1 4C standards are ru n to check and val i date the performance of the l aboratory s Pac4rd l i qu i d sc i nt i l l at ion system Veri fi cati on of the acti vi ty of the C i nnocu l a t i on sol ution is a l so made 6 ) Each sampl e i s cou nted for 30 mi nutes or unti l the CPM i n spectral reg i on A have a standard dev i at i on of l ess than 0 2 Counts per m i nute are then converted to d i s i ntegrati ons per mi nute us i ng the fi l ter s tandardi zat i on channel s rat io method

8 5 Ch l orophyl l a

Chlorophy l l a measurements have been wi dely used to est imate

phytopl a nkton b iomass For the purpose of these i nvesti gati ons

chl orophyl l l evel s of the 1 ) greater than 20 micron 2 ) l ess tha n

20 mi c ron and 3 ) l ess than S micron s i ze fracti ons were determi ned

on sampl es col l ected s imu l taneou s l y wi th those for pri mary

producti v i ty i ncubat ions Th i s procedure prov i ded comparabl e

estimates of both the b i omass and producti v i ty rates of each of the

three s i ze fract i on s

8 6 Wa ter Chem i stry

Surface water sampl es were co l l ected for analys i s at each of the

phytop l ankton primary product i v i ty stati ons Water i s col l ected i n

pre-l abel ed one l i ter po lyethyl ene conta i ners Chl orophyl l samp l es

5 -6

conta i ne rs were fi rst ri nsed and then qu i ck ly resubmerged bel ow the

s urface w i th the mouth fac i ng upcurrent Bacteri a sampl es were

col l ected i n pre-autocl aved 250 ml polyethyl ene contai ne rs a s above

except that samp l e conta i ne rs were not pre-r i nsed Al l sampl es were

stored on i ce and i n the dark and returned to the l aboratory fol l ow i ng

s tandard c ha i n of custody and qual i ty assurance procedures

Chl orophyl l was determi ned both uncorrected and corrected for

pheophyt i n u s i ng a Turner fl orometer Total col i form bacteri a were

determi ned u si ng the fi l ter membrane method ( APHA 909 b c ) Resul ts

were reported as l es s than a g i ven val ue based on d i l ut i ons when

actual f i l ter counts were zero

B 7 Popu l a t i on Structure

Sampl e s for determi nat i on of phytopl ankton communi ty structure were

col l ected i n conj uncti on wi th those taken for primary producti v i ty

measurements One l i te r polyethyl ene sampl e contai ners were

i mmedi atel y fi xed w i th 4 1111 of Lugol s sol ut ion Lugol s genera l ly

be i ng prefe rabl e for the p reservati on of sampl es wh i c h may i nc l ude

fl agel l ates The sampl es were p l aced on i ce i n the dark for

transportati on back to the l aboratory where they are he l d at 4degC

unti l prepared for counti n g I n i ti al l y a thorough i nventory and

taxonomi c analys i s of pos s i b l e taxa whi ch mi ght be expected to be

present was compl eted (Append i x C ) When a thoroug h taxonom i c basi s

has been assembl ed sampl es were prepared for observati on us i ng a

Ze i ss i nverted mi c roscope and a comb i nati on of s tandard centri fugation

a nd settl i ng procedures as fol l ows

5 -7

1 Sampl es are removed from the refri gera tor and gently shaken to assure resuspens i on of a l l materi al 2 Randomly sel ected subsampl es tota l i ng 50-100 ml ( dependi ng on the concentrat ion of the materi a l i n the sampl es ) are wi thdrawn and pl aced i n a 50 ml con i ca l g l as s centri fuge tubes 3 The tubes a re spun at a pprox imatel y 50 x g for 45 mi nutes Three to four drops of i od i ne so l uti on i s added at the top of the tubes whi ch w i l l then be a l l owed to s tand for at l east 24 hrs 4 ) At the end of the fi rs t settl i ng peri od the sett l ed materi a l i n the bottom 2 5 ml and a ny cel l s adheri ng to the surface ten s i on of each centri fuge tube i s drawn off a nd p l aced i n a 10 ml Ze i ss i nverted mi croscope settl i ng chamber 5 Two drops o f i od i ne sol u t i on wi l l be added to promote settl i ng and the compos i te sampl es i s aga i n be a l l owed to stand und i s turbed for another 24 hrs 6 Taxonomi c determi nati ons to the l owest pract ica l taxonom i c l evel were conducted from random fi el ds u s i ng a Zei ss i nverted mi croscope and a mod i fi ed s tri p method to ensure that counts i ncl uded representati ve areas of the counti ng chamber To determi ne commun i ty s tructu re at l east 500 cel l s are i denti f ied primari ly u s i ng 500x and 1000x objecti ves a nd 16x wi de fi el d ocul ars 7 After hav i ng recorded the taxonomi c determi nati ons of 500 cel l s add i t i ona l notes on each sampl e are comp i l ed us i ng a combi nati on of l ow and h i gh power objecti ves 8 Determi nati on of the number of cel l s per un i t vol ume wa s conducted for the same samp l es by enumerati ng cel l dens i t i es of randomly sel ected fiel ds aga i n u s i ng a mod i fi ed s tri p method and mak i ng appropri a te d i l uti on cal cul ati ons

v c INTERIM RESULTS

A more thorough a nd comprehens i ve summary of the resu l ts of the

phytopl an kton stud i es i nc l u d i ng seasonal and between stati on compari sons

of carbon uptake rates wi l l be i nc l uded i n the fi nal report Such a fi nal

surnna ry ana lys i s wi l l a l s o i nc l ude a detenlli nati on of the i nteract i ons

between phys i cal factors ( such as l i ght temperature ) a nd ambient nutri ent

concentrati ons on observed seasonal l eve l s primary producti on and commun i ty

s tructure The fol l owi ng s ummari zes the resu l ts to date

C 1 Phys i cal Parameters - The resu l ts of the i n s i tu Hydrol ab and l i gh t

5 -8

cast profi l es by date and stat i on are conta i ned i n Append i x A The

reported resu l ts for the l i ght profi l e analyses i nc l ude

1 ) regress i on of the l og of observed l i ght l evel s vs depth a l ong wi th the resu l tant coeff i c i ents for the l i ne and R squared val ues

2 ) based on the ca lcu l ated regress i on l i ne expected vs observed va l ues are pl otted (The i nfl uences of aqua t i c weeds i n reduc i ng l i ght l evel s can c l early be seen by compari ng such p lots for control a nd havested s tati ons )

3 ) an ext i nct ion coeffi c i ent based on the regress i on l i ne i s cal cul ated a s i s a pred i cted one percent l i ght depth ( m)

4 ) pred i cted l i ght and percent of surface i rrad i at i on l evel s as se l ected representati ve depths are determi ned

An effect i ve method of eva l uati ng the l i ght penetrati on

characteri st i cs i s to compare the computed depth where only 1 of

surface l i ght rema i ns ( th i s va l ue i s often assumed to be the

approx i mate compensati on depth where phytopl a nkton photosynthes i s =

phytopl ankton respi rat i on )

One Percent L ight Depth (m)

Stati on Sept 17 Sept 22 Sept 30 Ja n 13

7 1 84 1 2 1 1 23 1 57

8 2 33 2 36 1 90 1 37

9 2 65 2 6 1 2 09 1 46

10 0 42 0 42 0 76 1 70

11 0 36 0 39 0 36 1 6 1

12 0 44 0 36 0 57 1 67

7 5 1 59

These resu l ts c l early show that duri ng each of the three sampl i ng

dates i n September water c l ari ty a l ong the ha rvested transect

5 -9

i ncreased waterward from s tati on 7 to 9 At the same time l i ght

l evel s of the profi l es taken at the weed covered control s tati ons

( 10 1 1 12 ) decl i ned rap i d ly Tabl e 5 1 s tati s ti ca l ly compares the one

percent l i ght depth between the harvested ( E ) for experimental and

the control ( C ) stati ons grouped by date On each of the three

September dates the mean depth of the one percent l i ght l evel was

s i gn i fi cantly g reater for the harvested transect I n January 1988

weed cover a t a l l stations was apprOX i mately the same and nei ther of

the two above patterns were observed wi th the depth of the one

percent l i ght l evel bei ng s l i ghtly but stat i sti ca l ly l ess a l ong the

harvested transec t

The fol l owi ng tab l e s umma ri zes observed top and bottom d i s sol ved

oxygen l evel s by sta t i on and date Du ri ng each of the September

sampl i ngs bottom d i s sol ved oxygen l evel s at the control stations were

much l ower than a l ong the harvested transect Top and bottom

d i ssol ved oxygen l evel s i n January show the i nfl uences of cool er water

temperatures and emphas i z e the even d i s tri but ion of aquat ic weeds over

the study area

5 - 1 0

Di ssol ved Oxygen Level s ppm ( topbottom)

Stati on Sept 1 7 Sept 22 Sept 30 Jan 1 3

7 8 0 6 7 5 2 9 1 3 9 4 2 2 7 7 2

8 6 4 5 5 5 6 9 8 3 9 4 8 5 5 7 3

9 7 6 6 4 5 5 9 5 6 4 6 0 5 4 7 8

10 8 1 6 5 6 0 8 8 0 2 1 9 0 1 7 4

1 1 1 1 0 4 9 9 0 8 8 1 6 2 0 5 3 7 4

12 6 9 6 2 7 9 8 6 1 7 2 5 2 2 8 5

7 5 9 2 6 9

These resul ts are stat i st i ca l l y summari zed i n Tabl e 5 2 Aga i n E middotI

val ues represent means for the harvested stati ons and C a re for the

correspond i ng control s

C 2 B i omass - Chl orophyl l resul ts of the 1 ) whol e sampl e ( A ) 2 ) l ess

than 20 mi crons i n s i ze ( B ) and 3 ) l ess than 5 mi crons ( C ) for the

tri pl i cate sampl es taken on each date at each stat i on are presented i n

Append i x B Val ues are reported both as uncorrected and corrected for

phaeophyti n However i t shou l d be noted that correcti ng for

phaeophyti n may be i naccurated us i ng the fl uorometri c method when

s i 9n1 fi cant numbers of green a l gae are present due to 1 nterference

wi th chl orophyl l pound Mean val ues for the whol e s i ze fra c t i ons

( uncorrected ) are s ummari zed in the fol l owi ng tab l e

5 -1 1

Chl orophyl l a (mgm3 )

Stat ion S ept 1 7 Sept 22 S ept 30 Jan 13

7 5 5 22 4 29 90 9 73

8 46 5 34 0 34 95 10 98

9 66 7 45 7 53 45 10 36

10 1 2 8 107 6 65 25 8 63

1 1 68 0 128 4 64 09 4 48

12 17 8 1 1 1 2 98 76 5 14

7 5 9 82

The o n l y defi n i ti ve pattern appears to be seasonal Stati sti ca l

compari sons between the experimental ( harves ted ) and control s tati ons

by date are presented i n Tabl e 5 3

C 3 Taxonomi c Ident i fi cati on - The work i ng l i s t wh i ch formed the bas i s

o f the taxonomi c determi nati ons i s presented i n Tabl e 5 4 The

resu l ts of the taxonomi c determi nati ons of phytopl ankton conmnun i ty

structure are conta ined i n Appendi x C The number o f cel l s i dent if i ed

are l i s ted by taxonomi c groups Co l on i al forms were counted as fi ve

or ten i nd i v i dua l s depend i ng on the s i ze of the col ony The rel at i ve

d i stri but i ons of the four major taxonomi c groups ( Green Al gae

Di atoms D i nofl agel l ates and Bl ue-Greens ) by date and sta t i on are

summari zed i n F i gure 5 2 The patterns are c l earl y evi dent

1 ) Bl ue-Green a l gae were domi nant at a l l stati ons duri ng each o f the three sampl i ng dates i n September

2 ) Th i s domi nance o f Bl ue-Green a l gae over the other major taxonomi c

5 - 1 2

groups showed a ma rked dec l i ne duri ng the January samp l i ng peri od 3 ) Wi th in samp l i ng dates there were no apparent systemat ic

d i fferences between the harvested and control stat i ons when they were summari zed on the bas i s of the compos i t i on of thei r major taxonomi c c l as s i fi cat i ons

C 4 Analys i s o f Communi ty Structure - Di vers i ty and s im i l ari ty

i nd i ces ( see Tab l e 5 5 for equa ti ons ) have been wi del y ut i l i zed i n

ana lyz i ng communi t i es structure Such i nd ices a l l ow l a rge amounts of

informati on rel evant to the ri chness and equ i tabi l i ty of s pecies

wi th i n a communi ty to be organi zed and reduced i nto a s i ng l e

quanti tat i ve expres s i o n Two properties s hou l d cha racteri z e a

d i vers i ty i nd i ce i n order to accompl i s h thi s accuratel y 1 ) the i ndex

shou l d atta i n i ts max imum val ue when al l s pec i es are equal l y

d i stri buted and 2 ) i f al l spec i es wi th i n two samp l es are equa l ly

di stri buted the va l ue of the i ndex shou l d be greater for the

popul ation wi th the l arger number of s pec i es A second va l ue termed

lIevennes s can be ca l cu l ated for a number of the most commonl y

app l i ed d i vers i ty i ndi ces Evenness i s the- rat i o of observed

di vers i ty to the max i mum di vers i ty for a sampl e of a gi ven s i ze and

number of taxa and as such i s often useful i n determi ni ng the

re l ati ve deg ree of domi nance between a group of samp l es The

Shannon-Wi ener i ndex ( P i el ou base e ) was proposed as a method of

determi ni ng the rel ati ve amou nt of i nformati on wi th i n a popul ati on as

an express i on of the uncerta i nty of pred i ct ing the i dent i ty of any

gi ven i nd i v i dua l sel ected at random On a theoret i ca l l evel th i s may

be v i ewed as oppos i te from the bas i s of the S i mpson i ndex wh ich can

be vi ewed as the probab i l i ty that any two i nd i v i dual s sel ected at

random from wi th i n a samp l e bel ong to the same taxon When compa red

5 - 1 3

to the Shannon i ndex S impson tends to accentuate the presence of

common taxa over rare and thus i s often usefu l as a rel at i ve measure

of domi nance w i th i n a cOlTlfluni ty The Mc I ntosh i nd i ces ut i l i ze a

un iquely d i fferent means of measuri ng d i vers i ty and evenness by

eva l uati ng commun i ty s tructure by coord i nate d i sta nces Conceptua l l y

they measure u n i formi ty wi th i n an S -d i me ns i onal hyperspace

Unfortunatel y no s i ng l e or even group of i nd i ces have atta i ned any

degree of un i versa l acceptance Therefore i t i s often d i fficul t or

impos s i bl e to correl ate d i rect ly stud ies of s im i l ar communi t ies

because of re l i a nce u pon d i fferent i nd i ces The i nd i ces reported here

were chosen both because of the varyi ng degree of emphas i s each pl aces

upon d i fferent a s pects of communi ty structu re and because of the i r

rel at i ve l y frequent usage

The b i o l og i ca l va l i d i ty

cri ti c i zed if a ttempts

of d i vers i ty

are made to

i nd i ces

extend

can readi ly be

the mathemat ica l

characteri st i c s a nd l aws of i nformati on theory conta i ned wi th i n such

i nd i ces to commu n i ty s tructure However if these mathematical

express i ons are v i ewed mere ly as conven i ent methods for condens i ng

compl ex data i nto s i mp l e descri ptive stati sti cs we i g ht i ng both the

number and d i s tri but i on of i nd i vi dua l s among taxa then the i r

appl i cat ion becomes i mportant

Append i x 0 conta i ns the resu l ts of the mathemat i ca l reduction of each

stati on by sampl i ng date The fol l owi ng summari zes the d i versi ty

( P iel ou base e ) and the numbser of observed taxa by date and stati on

5 -14

Sampl e Di vers i tyNumber of Taxa

Stati on Sept 17 Sept 22 Sept 30 Jan 13

7 2 46 2 88 2 45 2 98 33 36 32 42

8 2 52 2 84 2 28 3 38 37 38 30 48

9 2 39 2 05 2 33 2 08 32 24 29 30

10 2 42 2 44 2 75 3 22 36 26 35 44

1 1 2 48 2 38 2 39 2 93 32 27 28 38

12 2 44 2 69 2 22 2 60 34 33 25 34

7 5 2 88 4 1

Both the d i vers i ty and number of taxa at stati ons 7 8 10 and 1 1

i ncreased i n January rhe l ack of a s i mi l ar re sponse at stati ons 9

and 12 i n Janua ry may have been cau sed by the heavi er aquati c

vegetati on whi ch was present A stati stical compari son of the

di vers i ty of taxa be tween harves ted and url harves ted areas by date i s

presented i n Tabl e 5 6 The resul ts i ndi cated no si gnifi cant

d i fferences

C 4 Communi ty Simi l a ri ty - Fi gu re 5 7 contai ns for each sampl i ng date

an ordered matr i x of the s imi l ari ty i nd i ce C l ambda lh i s i ndex

a l so know as the Mori s i ta-Ono i ndex i s w i de ly used as a measurement

of s imi l ari ty wei ghti ng both the presence of spec i es and the rel ati ve

5 -1 5

abundance d i stri but i on of each spec i es between sampl es Th i s

s imi l ari ty i ndex i s conceptua l l y unamb i guous i n that anal ogous to a

probab i l i ty or corre l at i on coeffi c i ent i ts va l ues vary from 0 0 to

1 0 Zero representi ng tota l d i ss i mi l ari ty a nd one perfect i denti ty

Val ues from 0 0 to 0 4 are general l y ta ken to denote sampl es from

hi gh ly d i fferent commun i t i es wh i l e val ues from 0 4 to 0 6 resu l t from

compari ng the d i s tri buti on s of taxa from col l ecti ons of i ntennedi ate

l i kenes s and val u es of 0 6 to 1 0 characteri ze samp l es taken from

i ncreas i ng ly s i mi l ar or i dent i ca l communi ti es Unordered matri ces of

such a s i mi l ari ty measurement though useful may often be confus i ng

I n devel opi ng these tabl es the unordered matri ces were rearranged by

the fol l owi ng cri teri a The s i te wi th the l owes t affi n i ty ( val ues ) to

a l l the other s i tes was p l aced at the top of the Y ax i s Bel ow th i s

was pos i ti oned the s i te wi th the h i ghest affi n i ty to the fi rs t s i te

Ranked i n the th i rd pos i ti on was the s i te wi th the greatest s imi l ari ty

to the second s i te not a l ready l i sted Th i s procedure was fol l owed

unti l al l s i tes had been l i s ted i n a comparati ve ord i nat i on a l ong the

Y ax i s Each matri x was then compl eted by reversi ng the ranked order

of the s i tes a l ong the X axi s By th i s method each tabl e was

constructed i n such a ma nner that the affi ni ty val ues genera l l y

i ncrease both from top to bottom and from l eft t o ri ght Thi s resu l ts

i n the c l usteri ng of areas of h i g h s i mi l ari ty separated by areas of

l ow affi n i ty a l ong the d i agona l marg i n

rh i s ana l ys i s of p hytop l a nkton communi ty s tructure shows no c l ear

d i sti ncti ons between harves ted and unharvested stati ons I n genera l

the s i mi l ari ty among stati ons was hi gh on the September 30th samp l i ng

5 -16

date and much l ower on January 13th The other two sampl i ng dates

show i ntermedi ate l eve l s of affi n i ty between stati ons

C s Summary of Stati sti cal Analys i s - The fol l owi ng summari zes the

resu l ts of the procedi ng stati st i ca l analys i s for vari ous physi cal and

b i ol og i ca l parameters

DO Top Bot

1 Depth

Chl a

Di v

I

Stati sti ca l Compari son of Means for Control vs Harvested Transects

Sept 17 Sept 22 Sept 30 Jan 13

T -test Wi l coxon T -tes t Wi l coxon T-test Wi l coxon T- tes t Wi l coxon

NS NS NS NS 067 05 02 046 02 04 0 1 05 NS NS NS NS

001 049 01B 05 014 05 03B 0 5

N S N S 0007 05 0 5 05 033 05

NS NS NS NS NS NS NS NS

Di ssol ved oxygen l evel s were s i gn i fi cantly h i g her on the bottom

a l ong the harvested transect on the 17th and 22nd of September

Th i s was a s hort term effect cau sed by the harvest i ng of aquati c

vegetation a l ong the transect

2 Su rface di ssol ved oxygen was l ower a l ong the experimenta l transect

on September 30th ( due to product ion by the vegetat i on al ong the

control ) and hi gher i n January

3 ) The one percent l i ght depth was greater a l ong the harvested

transect except i n January Th i s ta ken wi th the January pattern

5 -17

i n d i sso l ved oxygen g i ve s some i nd i cati on that i n January there

was more aquat i c vegetat i on a l ong the harvested than the contro l

4 ) Chl orophyl l a was probably heav i ly i nfl uenced by smal l part i cu l ate

mater ia l i n the water caused by harvest i ng and peri phyton on

submerged vegetat i on Wi th i n s i te variabi l i ty was sma l l when

compared wi th the vari ati ons between s tati ons

V D FINAL REPORT-ANALYSES

The f i na l report wi l l i ncorporate the fi na l two sampl i ng dates i nto

the above vari ous types of ana l ys i s I n add i t i on

1 ) Rates o f pr imary production for a l l s ampl i ng dates wi l l be reported and compared

2 ) Rates of primary product i on wi l l be ana lyzed to determi ne the rel at ive i nfl uences of water qual i ty and physi cal parameters

3 ) Cl uster anal ys i s w i l l be ut i l i zed to further i nvest i gate patterns of taxonomi c assoc i at i ons

I t shou l d be noted however that g i ven the patterns of the f i rs t four

sampl i ng dates and the apparent regrowth of aquat ic vegetati on al ong the

harvested transect the on l y further d i fferences i n the phytopl an kton

port i on of the study s hou l d be s easonal No add i ti onal d i fferences between

the harvested and unharvested transects are expected

5 - 18

FIGURE 5 1

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 5 22666667 0 084083333

E C

3 2 2 7333333 3 0 40666667 F Value

62 16 1 Prob gt F

0 0014

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Con t i nui ty Correction of 5 )

S- 15 0000 z- 1 74574

T-Test approx Signi ficance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vall i s Tes t (Chi -Square Approximation) CBISO- 3 8571 DF- 1 Prob gt CBISOa 0 0495

Mean Score

5 0 2 0

rIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BENEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 4 18335000 0 279200000

E C

3 2 06000000 3 0 39000000 F Value

14 983 Prob gt F

0 0 180

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Test (Normal Approximation) (wi th Continui ty Correct ion of 5 )

S- 15 0000 z- 1 74574

T-Tes t approx Signi ficance -

Prob ) I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Ch i - Square Approximat ion ) CBISQ 3 857 1 DF- 1 Prob gt CBISQ= 0 0495

Hean Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analys is of Variance

N Hean Among HS Vi thin HS 2 0768 1667 0 1 22066667

E C

3 1 bull 74000000 3 0 56333333 F Value

1 7 014 Prob gt F

0 0 146

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 128785 6 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continui ty Correction of 5 )

S - 1 5 0000 z- 1 74574

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Chi - Square Approximat ion) CHISOz 3 857 1 OF- 1 Prob gt CHI SO- 0 0495

He an Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BEMEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

N Mean Among HS Vi thin HS

E C

0 056066667 0 006066667 3 1 46666667 3 1 bull 66000000 F Value

9 242

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Expected Std Dev Scores Under HO Under HO

6 0 10 5000000 2 29128785 15 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Test (Normal Approximat ion ) ( wi th Continui ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

Prob gt F 0 0384

Hean Score

2 0 5 0

T-Test approx Signi ficance bull

Prob gt I z l middot 0 0809

0 1413

Kruskal-Vallis Test (Chi -Square Approximat ion ) CHISO 3 857 1 DF 1 Prob gt CBISO- 0 0495

FIGURE 5 2

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SBPTBKBBR 1987

Analysi s of Variance

SURFACE

N Mean Among HS Vi thin HS 2 66666667 2 56833333

E 3 7 33333333 C 3 8 66666667 F Value Prob gt F

1 038 0 3658

BOTTOH

N Mean Among HS Vi thin HS 1 9 08 16667 1 39333333

B 3 4 73333333 C 3 1 16666667 P Value Prob gt P

1 3 695 0 0208 Average Scores were used for Ties

FIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Vilcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

Hean Score

E 3 8 0 1 0 5000000 2 29128785 2 66666667 C 3 1 3 0 1 0 5000000 2 29128785 4 33333333

E C

Vilcoxon 2 -Sample Tes t (Normal Approximat ion ) (wi th Con t inu i ty Correct ion o f 5 )

S- 8 00000 z- - 872872

T-Tes t approx S igni ficance -

Prob ) I Z I - 0 3827

0 4227

Rruskal-Vallis Tes t (Chi-Square Approxima tion ) CBISO- 1 1 905 DF- 1 Prob ) CBISOz 0 2752

BonOH

SUII of Expected Std Dev N Scores Under BO Under BO

3 15 0 10 5000000 2 2583 1 796 3 6 0 10 5000000 2 2583 1 796

Average Scores were used for Ties

Vi lcoxon 2 - Sample Tes t (Normal Approximation ) (wi th Con t inui ty Correct ion o f 5 )

So 15 0000 Z- 1 77123

T-Tes t approx Signifi cance -

Prob ) I Z I - 0 0765

0 1 367

Kruskal-Vallis Tes t (Chi - Square Approximation) CBISO= 3 9706 DP- 1 Prob ) CBISO= 0 0463

He an Score

5 0 2 0

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVBEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Mean Among KS Vl tbln KS 0 1 66666667 0 556666667

E 3 6 20000000 C 3 5 86666667 F Value Prob gt F

0 299 0 6 1 34

BOTTOK

N Kean Among KS Vl tbln KS 1 5 3600000 0 755000000

E 3 5 00000000 C 3 1 80000000 F Value Prob gt F

20 344 0 0107

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

E 3 1 2 0 1 0 5000000 2 2 9 1 28785 C 3 9 0 10 5000000 2 29 1 28785

Vi lcoxon 2- Sample Tes t (Normal Approximation ) (vi th Continui ty Correction o f 5)

S- 1 2 0000 z- 0 436436

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 6625

0 6807

Kruskal -Vallis Tes t (Chi -Square Approximation) CHISO- 0 42857 OF- 1 Prob gt CBISa- 0 5 127

E C

N

3 3

Sum of Scores

BOTTOH

Expec ted Under BO

S td Dev Under BO

15 0 10 5000000 2 29128785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (vi th Cont inui ty Correc t ion of 5 )

S- 1 5 0000 Z- 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t ( Chi-Square Approxima tion ) CHI SO- 3 857 1 OF- 1 Prob gt CBISO= 0 0495

Mean Score

4 0 3 0

Hean Score

5 0 2 0

PIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 7 26000000 1 17333333

E 3 5 43333333 C 3 7 63333333 F Value Prob gt F

6 187 0 0677

BOTTOM

N Mean Among MS Vi thin KS 6 00000000 4 68333333

E 3 4 53333333 C 3 2 53333333 F Value Prob gt F

1 281 0 3209

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

llilcoxon Scores (Rank Sums )

SURFACE

Sum o f Bxpected Std Dev N Scores Under BO Under BO

E 3 6 0 1 0 5000000 2 29 1 28 785 C 3 1 5 0 1 0 5000000 2 29 128785

ll i lcoxon 2-Sample Tes t ( Normal Approximat ion ) (wi th Cont inuity Correct i on of 5 )

S - 6 00000 zmiddot - 1 74574

T-Test approx Significance bull

Prob gt I Z I middot 0 0809

0 14 13

Kruskal-llallis Tes t (Chi-Square Approximat ion) CBISO- 3 857 1 DF- 1 Prob gt CHISO= 0 0495

N

BOTlOM

Sum o f Expec ted Scores bull Under BO

Std Dev Under BO

Mean Score

2 0 5 0

Mean Score

B C

3 3

14 0 10 5000000 2 29128785 4 66666667 7 0 10 5000000 2 29128785 2 33333333

llilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continuity Correct i on of 5 )

S- 1 4 0000 Zmiddot 1 3093 1

T-Tes t approx Significance bull

Prob gt I Z I - 0 1 904

0 2474

Kruskal-llallis Tes t ( Chi-Square Approximat ion) CBISO= 2 3333 DF= 1 Prob gt CHISO= 0 1 266

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

E C

E C

Analys is of Variance

SURFACE

N Hean Among HS Vi thin HS 0 806666667 0 068333333

3 9 46666667 3 8 73333333 F Value

N

3 3

1 1 805 Average Scores were used for Ties

BOTlOH

Hean Among HS 0 166666667

7 43333333 7 76666667 F Value

0 658 Average Scores were used for Ties

Prob gt F 0 0264

Vi thin HS 0 253333333

Prob gt F 0 4628

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIHENTAL SITES ON 1 3 JANUARY 1 988

N

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Hean Score

E 3 15 0 10 5000000 2 258 3 1 796 5 0 2 0 C 3 6 0 10 5000000 2 258 3 1 796

E C

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approximation ) ( wi th Continui ty Correction o f 5 )

Smiddot 1 5 0000 zmiddot 1 77 1 23

T-Tes t approx Signi fi cance -

Prob gt I Z I middot 0 0765

0 1367

Kruskal -Vallis Tes t (Chi -Square Approximation) CBISO- 3 9706 DF- 1 Prob gt CBISO= 0 0463

N

BOTrOH

Sum of Scores

Expected Under BO

Std Dev Under BO

Hean Score

3 3

8 0 10 5000000 2 2583 1 796 2 66666667 1 3 0 10 5000000 2 2583 1 796 4 33333333

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approxima t ion ) ( wi th Continui ty Correct ion o f 5 )

S- 8 00000 Z- - 8856 15

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 3758

0 4 164

Kruskal -Vallis Tes t (Chi-Square Approximation ) CBISO- 1 2255 DF= 1 Prob gt CBISO= 0 2683

fiGURE 5 3

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Ii C

E C

N

3 3

N

3 3

Analysis of Variance

SURFACE

Mean Among MS 67 5808907

39 5866667 32 8744444 F Value

0 07 1

Vilcoxon Scores (Rank Sums )

Sum o f Scores

Expec ted Under BO

S td Dev Under BO

Vi thin MS 952 908207

Prob gt F 0 8032

Mean Score

1 0 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 1 0 5000000 2 29 1 28785 3 66666667

Vilcoxon 2 -Sampie Tes t (Normal Approximation ) (wi th Con tinu i ty Correc t i on o f 5 )

Smiddot 1 0 0000 zmiddot o

T-Test approx Signi f i cance bull

Prob gt I Z I middot 0 9999

0 9999

Kruskal-Vallis Tes t ( Chi-Square Approximation ) CBISO- 0 04762 DF- 1 Prob gt CBISO- 0 8273

FIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEBN THE CONTROL AND BXPERIMENTAL SITES ON 22 SEPTBMBER 1 987

Analysi s of Variance

SURFACE

N Mean Among MS Vi thin MS 10416 6667 1 13 777778

B C

3 33 666667 3 1 1 7 000000 F Value

9 1 553 Prob gt F

0 0007

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Bxpected Under 00

Std Dev Under 00

6 0 10 5000000 2 29128785 1 5 0 10 5000000 2 29 128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inu i ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I 0 0809

0 1413

Kruskal-Vallis Tes t (Chi-Square Approximat ion ) COlSQ- 3 8571 DF- 1 Prob gt CHlSQ= 0 0495

Mean Score

2 0 5 0

FIGURE 5 3 ( cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Hean Among HS Vi thin HS 2009 2 1 800 270 667459

E 3 39 4322222 C 3 76 03 1 1 1 1 1 F Value Prob gt F

E C

N

3 3

7 423

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

6 0 10 5000000 2 29 1 28785 15 0 10 5000000 2 29 1 28785

Vilcoxon 2 -Sample Test (Normal Approximat ion) (wi th Con t inui ty Correc tion of 5 )

S- 6 00000 z- - 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vallis Tes t (Chi -Square Approxima t ion)

0 0527

Mean Score

2 0 5 0

CBISO- 3 857 1 OF- 1 Prob gt COISO- 0 0495

PIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LBVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

SURFACE

N Mean Among HS ii thin HS 27 4205630 2 68287963

E C

3 1 0 3588889 3 6 0833333 F Value

10 22 1 Prob gt F

0 0330

E C

N

3 3

ii lcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

ii lcoxon 2 -Sample Tes t (Normal Approximat ion) (vi th Cont i nui ty Correc tion of 5)

S- 1 5 0000 zmiddot 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I - 0 0809

0 1413

Iruskal-iallis Tes t (Chi -Square Approximation) CBISOa 3 857 1 DFa 1 Prob gt CHrSO- 0 0495

Hean Score

5 0 2 0

TABLE 54 VORKING LIST

LAKE OKEECHOBEE PHYTOPLANKTON

Chlorophyta (Green Algae )

I II

001 0 1 001 02 002 0 1 003 0 1 003 02 004 0 1 005 0 1 005 02 006 0 1 007 0 1 008 0 1 009 0 1 0 1 0 0 1 0 1 1 0 1 0 1 2 0 1 0 1 2 02 012 03 012 04 0 1 2 05 012 06 0 1 3 0 1 0 1 3 02 014 0 1 0 1 4 02 015 0 1 0 1 5 02 016 0 1 0 1 6 02 017 0 1 0 1 8 0 1 0 1 9 0 1 020 0 1 02 1 0 1 022 0 1 023 0 1 024 0 1 024 02 024 03 025 01 025 02 026 0 1 027 0 1 028 0 1 029 0 1 030 0 1

Ankis trodesmus falcatus Ankis trodesmus spiralis Ar throdesmus sp As terococcus spinulosus As terococcus sp Carteria cordi formis Chlamydomonas polypyrenoideum Chlamydomonas sp Chlorella sp Chlorococcum s p Chlorogonium sp Chodatella (Lagerhemia) subsalsa Clos teridium lunula Clos teriopsis longissima Clos terium curvaceum Closterium graci le Clos terium kutzingi i f sigmoides Clos terium setaceum Clos terium venus Clos terium s p Coelastrum cambricum Coelastrum microporum Cosmarium circulare Cosmarium s p Crucigenia apiculata Crucigenia quadrata Dictyosphaerium ehrenbergianum Dictyosphaerium pulchellum Elakatothrix gelat inosa Euas trum s p Eudorina elegans Geminella interrupta Golenkinia radiata Gonium pectorale Beteromas t ix angulata Kirchneriella contor ta Kirchneriella obesa Kirchneriella sp bull bull Lagerhemia citri formis Lagerhemia subsalsa Lepocinclis s p Hougeot ia s p Oocystis sp Ourococcus bicaudatus Pandorina morum

031 0 1 031 02 03 1 03 03 1 04 03 1 05 03 1 06 03 1 07 032 0 1 033 0 1 034 0 1 035 0 1 036 0 1 037 0 1 038 0 1 039 0 1 039 02 039 03 039 04 039 05 039 06 039 07 039 08 040 0 1 04 1 0 1 042 0 1 042 02 042 03 042 04 043 0 1 043 02 043 03 043 04 043 05 043 06 043 07 044 0 1 045 0 1 046 0 1 047 01 048 0 1 049 0 1 050 0 1 051 0 1 052 0 1 053 0 1 054 0 1 055 0 1 056 0 1

Pedias trum biradiatum Pedias trum boryanum Pediastrum duplex v grac ilimum Pedias trum duplex v ret i culatum Pedias trum simplex Pedias trum s implex v duodenarium Pedias trum tetras Pedinomonas minor Phacotus lent icularis Platydoriana caudata Polyedriopsis spinulosa Pseudotetraedron neglec tum P teromonas aculeata Quadrigula clos teroides Scenedesmus abundans Scenedesmus acuminatus Scenedesmus arcuatus v platydisca Scenedesmus bij uga Scenedesmus denticulatus Scenedesmus d imorphus Scenedesmus opoliens is Scenedesmus quadricauda Schroderia setigera Spermatozops is exultans S taurastrum cuspidatum S taurastrum limne t icum Stauras trum s p 1 1 Stauras trum sp 12 Tetraedron cauda tum Tetraedron gracile Tetraedron limne t i cum Te traedron lobulatum Tetraedron minimum Tetraedron mut icum Tetraedron trigonum Tetras trum s taurogeniaeforme Treubaria crassispina Volvulina s tein i i Ves tella bo tryoides Unknown 1 1 (unicellular green ) Spyrogyra sp Tetmemoris sp Oedogonium s p Unknown Unknown Unknown Unknown Unknown

Chrysophyta

Class Bacillariophyceae (Diatoms)

057 0 1 057 02 058 0 1 059 0 1 060 0 1 06 1 0 1 062 0 1 062 02 062 03 063 0 1 064 0 1 064 02 064 03 064 04 065 0 1 066 0 1 067 0 1 068 0 1 069 0 1 070 0 1 070 02 070 03 070 04 070 05 070 06 070 07 070 08 07 1 0 1 0 7 2 0 1 073 0 1 074 0 1 074 02 074 03 074 04 074 05 074 06 075 0 1 075 02 075 03 075 04 075 05 075 06 075 07 076 0 1 076 02 076 03 076 04 076 05 076 06

Achnanthes exigua v heterovalve Achnanthes sp Amphora ovali s v l i byca Biddulphia laevi s Calonei s amphisbaena Campylodiscus sp Cocconeis dimi nu ta Cocconei s hus t ed t i i Cocconeis placentula Coscinodiscus rothii Cyclotella glomerata Cyclotella kutzi ngiana Cyclotella menghiniana Cyclotella s telligera Cylindrotheca s p Cymatopleura solea Cymbella ventricosa Denticula s p Diplonei s oblongella Fragilaria brevis t riata Fragilaria capucina Fragilaria cons truens Fragilaria cons truens v subsalina Fragi laria construens v ven ter Fragilaria cro tonensi s Fragilaria pinna ta Fragilaria vaucheria Frus tul1a sp Gomphonema graci le Gyrosigma nodiferum Melosira ambigua Melosi ra granulata Melosira granulata v angus tissima fo spiralis Melosi ra granulata muzzanensis Melosira i talica Melosi ra sp Navicula accomoda Navi cula cincta Navicula cryp tocephala Navicula exigua Navi cula pupula Navi cula rhynococephala v germani i Navi cula s p Ni tzschia aci cularis Ni tzschia amphi bia Ni tzschia api culata Ni tzschia augus tata Ni tzschia cons trl c ta Ni tzschia dissipa ta

076 07 076 08 076 09 076 10 076 1 1 076 1 2 076 1 3 076 1 4 076 1 5 076 1 6 076 1 7 077 0 1 078 0 1 079 01 080 01 08 1 01 082 01 083 01 083 02 084 01 085 01 085 02 086 01 087 01 088 01 089 01 090 01 09 1 01 092 01 093 0 1 094 0 1 095 0 1 096 0 1 097 01 098 01 099 01 100 01

Ni tzschia fili formis Nitzschia frus tulum Ni t zschia holos t ica Ni tzschia hungarica Ni tzschia lanceolata v minima Ni tzschia linearis Ni tzschia lorenziana Nitzschia paradoxa Nitzschia punc tuata v coarctata Nitzschia trybilionella v victoriae Ni tzschia sp Opephora mar tyi Pinnularia maior Pleurosigma salinarium v boyeri Rhopalodia gibba Skeletonema Cos tatum Stauroneis s p Stephanodiscus as trae v minutula Stephanodiscus invisi tatus Surirella robusta v splendida Synedra actinas tro ides Synedra ulna Tabellaria sp Tetracyclus lacus tris Thalassios i ra sp Buno tia 1 s p Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Other Chrysophycea

185 01 186 01

Dinobryon sp Synura s p

Cyanophyta (Blue-green Algae)

101 0 1 102 0 1 102 02 102 03 103 0 1 104 0 1 105 0 1 105 02 106 0 1 106 02 107 0 1 108 0 1 109 0 1 109 02 1 10 0 1 I I I 0 1 I I I 02 1 12 01 1 13 0 1 1 13 02 1 14 01 1 15 01 1 15 02 1 15 03 1 15 04 1 1 6 01 1 16 02 1 16 03 1 1 7 0 1 1 18 0 1 1 18 02 1 18 03 1 19 01 120 0 1 1 2 0 02 1 20 03 1 2 1 01 122 01 1 23 0 1 1 23 02 1 24 0 1 1 24 02 1 24 03 1 25 0 1 1 2 6 0 1 127 0 1 128 0 1 1 29 0 1 130 0 1 1 3 1 0 1 1 32 0 1 133 0 1

Agmenellum quadruplicatum Anabaena bornet i ana Anabaena sphaerica Anabaena spiroides Anacyst i s s p (Gloeo thece) Aphanizomenon flos -aquae Aphanocapsa delicatiss ima Aphanocapsa pulchra Aphano thece s tagnina Aphano thece pras ina Arthrospira gomontiana Aulosi ra infuxa Chroococcus planctonica Chroococcus turgidus Coccochloris s p Coelosphaerium naegelianum Coelosphaerium s p Eucapsis alpina Gomphosphaeria aponina Gamphosphaeria lacus tris Bolopedium i rregulare Lyngbya contorta Lyngbya limne t ica Lyngbya tenuis Lyngbya sp Herismopedia elegans Herismopedia glauca Herismopedia punctata H icrocoleus lyngbyaceus Hicrocys tis aeruginosa Hicrocys tis flos -aquae Hicrocys t i s incerta Nodularia spumigena Oscillatoria tenuis Oscillatoria terebriformis Osci llatoria sp Phormidium autumnale Raphidiops i s curvata Schlzo thrix calciola Schlzothrix sp Spirulina laxissima Spi rulina subsalsa Splrul1na sp Glaucocys tis sp Anabaenopsls sp Nos toc sp Unknown Unknown Unknown Unknown Unknown Unknown

1 34 0 1 1 35 01 136 0 1 1 37 01 1 38 0 1 1 39 0 1

Unknown Unknown Unknown Unknown Unknown Unknown

Buglenophy ta

140 0 1 1 4 1 0 1 141 02 141 03 141 04 141 05 141 06 141 07 141 08 141 09 141 1 0 1 4 1 1 1 141 1 2 1 4 2 0 1 142 02 143 0 1 144 0 1 144 02 144 03 144 04 1 44 05 144 06 144 07 145 01 145 02 145 03 145 04 146 0 1 1 46 02 1 46 03 148 0 1 149 01 150 0 1 1 5 1 0 1 1 52 0 1 153 01 154 0 1 155 0 1

As tasia klebesi i Euglena acus Euglena deses Euglena gracilis Euglena hematodes

-Euglena minuta Euglena oxyuris Euglena polymorpha Euglena spiroides Euglena subehrenbergi i Euglena t ripteris Euglena viridis Euglena s p Lepocinclis ovum Lepocinclis texta Petalomonas sp Phacus curvicauda Phacus longicauda Phacus pleuronectes Phacus pyrum Phacus tor ta Phacus triqueter Phacus sp St rombomonas giardiana S t rombomonas giardiana v glabra S trombomonas tambovika S trombomonas sp Trachelomonas crebea Trachelomonas cylindrica Trachelomonas volvocina Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Pyrrhophyta

Class Cryptophyceae

156 0 1 157 0 1 158 0 1 158 02 158 03 158 04 159 0 1 160 0 1 160 02 161 0 1 162 0 1 163 0 1 164 0 1 165 0 1 166 0 1 167 0 1 168 0 1 169 0 1

Chilomonas paramecium Chroomonas acuta Cryptomonas erosa Cryptomonas marssoni Cryp tomonas ovata Cryp tomonas s p Billea sp Rhodomonas lucus tris Rhodomonas sp Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Class Dinophyceae (dinoflagellates )

1 70 0 1 1 70 02 1 7 1 0 1 172 0 1 1 73 0 1 1 74 0 1 1 74 02 1 75 0 1 175 02 1 75 03 175 04 176 0 1 177 0 1 178 0 1 179 0 1 180 0 1 181 0 1 182 0 1 183 0 1 184 0 1

Cerat ium brachyceros Cerat ium hirundinella fa furcoides Diplopsali s lent icula + Glenodinium gymnodinium Gonyaulax sp Gymnodinium aeruginosum Gymnodinium neglectum Peridinium inconspicuum Peridinium umbonatum Peridinium viscons inense Peridinium sp Prorocentrum micans Dinoflagellate cys ts Unknown Dino 1 Unknown Dino 2 Unknown Unknown Unknown Unknown Unknown

+ may be Peridiniopsis acuta

Denotes Genus Comput er Codes Denotes Species Computer Codes

Tentat ive Iden t i f ications

TABLE 55

bull

D I V E R S IT Y

ielou lise di versi ty (H ) bull

-1 I t l oge t

ielou 81se e evenness (J I ) bull

( -1 I 1 l oge 1 ) l og 5

Margl l ev dtversi ty bull

( - 1) log bull bull

ielou Is 10 diverst bull

-1 I 1 l agl0 1

11ou lis 10 IYlnness bull

( -1 I 1 lag l0 1 ) 10110 S

2 Sipson Di vers i ty bull 1 I 1

5 ipson Evenness bull ( 1 - I t2

) ( 1 - ( 1 5raquo

5heldon Evenness bull bull H middot I 5

H middot He t p Evenness bull ( - 1 ) I (5 - 1 )

S I M I LARITY

Mountford bull Z ( 51 + 5Z - 51Z) I ( Z I 5 1 I 5Z -

laquo 51 + 5Z (51 + 5Z - 51 Zraquo

Z Cl t ffordmiddot5tephenson bull 1 - t (lt - Zt )

Mh1ttlker PS I bull 1 - (t l l t - Z1 1 I Z )

Clnberrl Metrtc bull 1 - (t ( ) ft1 t - ftz1 1 I (n11 + nZ1 I IZ )

SIMI bull [(PI I I 21 ) I ( EPIIZ I rP2tZ)

MDrl sltl bull (2Enl 1 I n21 ) I laquo ( E( nl1 I nIl bull 1 ) I ( Nl I Nl - 1) )

+ ( [21 I 21 bull 1 ) I (2 I 2 bull 1 ) ) I 1 I 2)

nIt bull number of Indlv1dulls in sample 1 of 1th tlxa

I bull totll number of Individulls in sample 1

512 bull total nunber of tlXI tn both samples 1 and 2

51 bull umber of tXI t n sample 1

Pt bull percent t th taxa represents of the totll sle (nt )

p bull geome t r i c me an

DISTRIBUTION OF MAJOR TAXONOMIC GROUPS BY DATE AND STATION

1$ $ $I GREEN AUlAE STATION

emggg DIATOMS

FIGURE 5 1

DINOFLAGELLATES __ BLUE-GREEN AL8AE

FIGURE 5 6

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVBBN THE CONTROL AND EXPERIMENTAL SITES ON 17 SEPTEMBER 1 987

E C

E C

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 0 000 150000 0 002583333

3 2 45666667 3 2 44666667 F Value

0 058 Prob gt F

0 82 1 4

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

Mean Score

1 1 0 10 5000000 2 29128785 3 66666667 10 0 10 5000000 2 29 1 28785 3 33333333

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inui ty Correction of 5 )

S- 1 1 0000 z- o

T-Tes t approx Signi f i cance -

Prob gt I Z I - 0 9999

0 9999

Kruskal-Vallis Tes t (Chi -Square Approxima tion ) CBISQ= 0 04762 DP= 1 Prob gt CBISQ= 0 8273

FIGURE 5 6 (cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analys is of Variance

SURFACE

N Mean Among KS Vi thin KS 0 0 1 1 266667 0 1 23066667

E C

3 2 59000000 3 2 50333333 P Value

0 092 Prob gt P

0 7773

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

S td Dev Under BO

1 2 0 10 5000000 2 29 128785 9 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

s- 1 2 0000 z- 0 436436

T-Tes t approx Significance -

Prob gt I Z I - 0 6625

0 6807

Rruskal-Vallis Tes t (Ch i -Square Approxima t ion) CBISO- 0 42857 DP- 1 Prob gt CBISO= 0 5 127

Hean Score

4 0 3 0

PIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BBTVIEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SBPTBHBBR 1987

E C

E C

Analysis of Variance

N Hean Among HS Vi tbin HS 0 0 15000000 0 040433333

3 2 35333333 3 2 45333333 P Value

0 37 1 Prob gt F

0 5754

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

Hean Score

10 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 10 5000000 2 29 1 28785 3 66666667

Vilcoxon 2-Sample Tes t (Normal Approxima tion) (wi th Continui ty Correction of 5 )

S - 10 0000 z- o

T-Test approx Signif i cance -

Prob gt I Z I - 0 9999

0 9999

lruskal-Vallis Tes t (Cbi -Square Approximation ) CBISQ- 0 04762 DF- 1 Prob gt CHISQ- 0 8273

FIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1988

Analys is of Variance

N Mean Among MS Vi thin MS 0 0160 1 6667 0 269783333

E C

3 2 8 1 333333 3 2 9 1 666667 F Value

0 059 Prob gt F

0 8 1 95

E C

N

3 3

Vi lcoxon Scores (Rank Sums)

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Mean Score

1 1 0 1 0 5000000 2 29 128785 3 66666667 10 0 10 5000000 2 29128785 3 33333333

Vi lcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

S - 1 1 0000 z- o

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 9999

0 9999

Kruskal -Vallis Tes t (Chi -Square Approximat ion) CBISa- 0 04762 DF- 1 Prob gt CBrSQ= 0 8273

FIGURE 5 7

ORDERED C LAMBDA MATRICES

8

SEPT 1 7TH

9 1 0 7 1 1

1 2 [ 0 7 1 0 61 0 35 0 54 0 87 [

1 1 [ 0 7 1 0 73 0 60 0 77 [

7 [ 0 84 0 89 0 9 1 [

10 [ 0 72 0 76 [

9 [ 0 90 [

SEPT 30TH

8 9 7 1 2 1 1

10 [ 0 58 0 60 0 69 0 64 0 73 [

1 1 [ 0 9 1 0 91 0 93 0 95 [

12 [ 0 91 0 90 0 93 [

7 [ 0 94 0 94

[ 9 [ 0 99

[

SEPT 22ND

7 8 1 2 1 1 10

9 [ 0 48 0 58 0 37 0 43 0 64 [

10 [ 0 65 0 75 0 73 0 90 [

1 1 [ 0 55 0 54 0 64 [

12 [ 0 54 0 66

[ 8 [ 0 88

[

JAN 1 3TH

8 7 9 1 2 7 5 10

1 1 [ 0 38 0 39 0 35 0 42 0 40 0 57 [

10 [ 0 74 0 57 0 34 0 61 0 74 [

7 5 [ 0 68 0 57 0 50 0 86 [

12 [ 0 58 0 63 0 80

( 9 [ 0 37 0 53

[ 7 [ 0 65

[

VI COMMUNITY METABOLISM

V I A I NTRODUCTION

Convnun i ty metabol i sm as measured by the d i el oxygen mon i tor i ng

techn i que (Odum and Hask i n 1958 Odum and Wi l son 1962 Odum 1967 ) i s

a methodol ogy used to est imate gross system product i on by cal cul ati ng the

rate of b i o l og i cal l y med i ated oxygen c hanges i n a water col umn over a 24

hour peri od Many factors contri bute to the oxygen budget of aquat i c

systems d i ffus i on from the atmosphere photosynthes i s and resp i rat i on

rates of submerged macrophytes phytopl ankton and peri phyton benth i c

oxygen demand resp i rat i on of ani mal s i n the water col umn and BOD al l

pl ay a ro l e i n regul ati ng oxygen l evel s i n the water These factors are

i n turn regu l ated by the energy i nputs i nto the system sun l i g ht

detr i tus and d i s sol ved nutri ents

Odum ( 1 957 ) suggested that gross product i on of an ecosystem may

i nc rease l i nearly wi th i ncreas i ng l i ght i ntens i ty even thoug h the gross

product i on of an i nd i v i dual pl ant woul d exh i b i t a hyperbol i c response to

i ncreas i ng l ig ht i ntens i ty A study of Li ttl e Lake Conway ( near Orl ando)

re vea l ed that photosynthet i c effi c i ency actual l y decreased wi th

i ncreas i ng 1 ight i nten s i ty ( Fontai ne and Ewel 1981 ) Th i s same study

al so noted that the contri but i on of submerged macrophytes and assoc i ated

epi phytes probabl y accounted for seasonal peaks i n product i on s i nce

pl ankton gross product i on rema i ned essent i al l y constant throughout the

year Th i s emphas i zes the need for mu l t i pl e methods when i nvesti gat i ng

convnun i ty product i v i ty and metabol i sm

The fi rst convnun i ty metabol i sm mon i tori ng was conducted over a 2 4

hr peri od o n September 30 and October 1 1987 Measurements o f water

temperature d i s sol ved oxygen content and l i ght penetrat i on were

conducted as descr i bed bel ow Sampl i ng was concl uded wi thout any

i nc i dent and al l pl anned parameters were measured

6- 1

VI B METHODS

Convnuni ty metabol i sm was measured by the d i el oxygen mon i tori ng

techn i que (Odum and Haski n 1958 Odum and Wi l son 1962 Odum 1967 ) a

methodol ogy used to est i mate gross system product i on by cal cul at i ng the

rate of b i ol og i cal l y med i ated oxygen changes i n a water col umn over a 24

hour peri od

Convnun i ty metabol i sm measurements were made at the same stat i ons

on the same sampl i ng date as phytopl ankton pri mary product i v i ty to

prov ide as compl ete a set of overal l product i v i ty and met abol i sm val ues

as pos s i bl e Data were gathered from the three control and three

experi menta l stat i ons for the Hvdr11l a harvest mon i tori ng and used to

d i fferent i ate harvested from non middot harvested areas locat i ons of stat i ons

are i l l ustrated i n F igure 6 1 Subsequent sampl i ngs wi l l enabl e seasonal

vari at i ons of convnun i ty met abol i sm to be asses sed

As requ i red surface ( 0 2 ) and bottom (0 8 of total depth )

measurements of d i ssol ved oxygen and temperature were made at al l s i x

stat i ons over a 24 hour per iod I n add i t i on a nearl y compl ete set of

data was col l ected for mid depth ( 50 of stat i on depth ) The add i t i onal

data prov i de a more compl ete perspect i ve of commun i ty metabol i sm

funct i ons Rates for gross and net pri mary product i on and resp i rat i on

were then cal cul ated Rates of oxygen change were cal cul ated for each

stat i on and depth over the 24 middothr mon i tori ng peri od To a l l ow the

detect i on of any vert i ca 1 d i fferences i n the water col umn O i e 1 net

product i on for each stat i on an depth was determi ned by summat i on of

oxygen change val ues over the 24 middothr peri od Dayt i me net product i on ( P

net ) was cal cul ated by sunvnat i on of oxygen concentrat i on changes between

sunri se and sunset Net n i ght t i me respi rat i on ( R n i ght ) was cal cul ated

by sunvnat i on of oxygen concentrat i on changes between sunset and sunri se

An est i mate of gross pri mary product i on ( P gross ) was then cal cul ated

from the equat i on

dayl ight hours [ Rn ight x n ight hours ]

6 middot 2

An est i mate of res p i rati on for a 24-hrs per i od can be made by the

equat i on

( 24- hr ) hours of ni ght

The same est i mates of gross product i on and res p i rat i on were used to y i e l d

est i mates o f metabol i sm per un i t area o f water col umn by cal cul at i ng

d i el changes i n total oxygen content of the water col umn at a stat i on per

square meter

Normal sol ar i n sol at i on was recorded by a pyrhel i ometer pl aced at

the harvester offl oad ramp By i ntegrat i on of the area under the

i n sol at i on traces val ues for total Kcalm2day of avai l abl e energy were

determ i ned In add i t i on to measuri ng total i n sol at i on Li Cor i n s i tu

photometer read i ngs were made duri ng dayl ight hours at each stati ondepth

to determi ne the amount of energy avai l abl e i n the photosyntheti cal ly

act i ve wave l ength s The ext i nct i on coeffi ci ent of l i ght for each

stat i on was cal cul ated by the equati on

E - ( I n l dl s ) -d

where l d - l i ght at depth (d) l s bull l i ght at surface and d depth of

read i ng

VI C I NTER IM RESULTS

Tabl e 6 1 l i sts the data for temperature and d i s sol ved oxygen as

wel l as the hourly changes i n val ues over the 24-hr record i ng peri od

For the date of sampl i ngs the 1987 NOAA sunri sesunset tabl es g i ve

sunri se at 0651 hrs and sunset as 1850 hrs ( standard t i me) or 1 1 hrs 59

m i n utes o f dayl i ght and 12 hrs 1 mi nute of darkness For purposes of

cal cul at i ons dayl i ght vs darkness are therefore cons idered equ i val ent

Tabl e 6 2 l i sts the val ues obtai ned for i nc i dent sunl i ght (deck un i t ) and

l i ght penetrati on at the surface 0 5m and 1 0m depths Un i t s are mi croshy

e i nste i nsm2sec Sol ar i nsol ati on for September 30 October 1 and a

port i on of October 2 are shown as chart record s i n F igure 6 2

Cons i derabl e cl oud i ness for these three days i s ev i denced by the

traci ng s L i ght penetrat i on i nto the water col umn i s represented by data

6-3

i n Tabl e 6 3 Val ues for surface l i ght ( approximate ly 2 cm bel ow

surface) and l i ght at 0 5 m and 1 0 m were recorded The percentage of

avai l abl e surface l i ght and the ext i nct i on coeffi c i ents for 0 5 m and

1 0 m were al so cal cul ated Val ues for percentage l i ght penetrat i on and

ext i nct i on coeffi c i ents were qui te vari abl e but general l y there was much

l ess l i ght penetrat i on to the 0 5m and 1 0m l evel s at the vegetated

stat i ons refl ect i ng the Hvdri 1 1 a coverage L i ght l evel s at these

stat i ons too were vari abl e depend i ng on the rel at i ve th i ckness of the

Hydri 1 1 a mat

There was a l arge amount of vari at i on i n d i ssol ved oxygen val ues

over the course of the 24-hr data col l ect i on peri od Surface and bottom

00 val ues are graph i cal ly represented for each stati on i n F i gures 6 3

and 6 4 F i gure 6 5 exh i b i t s the overal l trends for the harvested vs

vegetated stat i ons for surface d i ssol ved oxygen val ues averaged for al l

three stat i ons of each transect Al l stat i ons fol l owed the same typi cal

trend of r i s i ng 00 val ues for dayl i ght hours peaki ng i n l ate afternoon

and fal l i ng val ues after sun set Thi s trend i s al so seen i n Tabl e 6 4

wh i ch represents the percent saturati on for surface mi d and bottom

depths Aga i n the general trend i s for greatest l evel of percent

saturat i on to occur dur i ng afternoon hours and l owest percentages dur i ng

the early pre-dawn hours The most notab1 e d i fferences occurred for

bottom 00 val ues at Stati on 12 wh i ch appeared to be much l ower overal l

D i ver observat i ons made on December 1 1 1 987 reveal ed that thi s stat i on

has a th i ck l ayer (+0 3m) of very fi ne sed i ments The water- sed iment

boundary was very d i ffi cu1 t to l ocate due to the f1 occu1 ent nature of

t h i s sed i ment It seems probabl e that the very l ow val ues obtai ned at

t i mes at Stati on 12 were probabl y the resu l t of part i al l y l oweri ng the

probe i nto thi s turb i d i ty l ayer

Tabl e 6 5 presents the daytl me net product i on and net n i ght t i me

resp i rat i on as the sum of changes i n oxygen val ues during dayl i ght

( produc t i on ) and n i ght t i me (respi rat i on ) Product i on val ues ranged from

- 0 3 ppm ( Stati on 7 mid depth) to 1 2 0 ppm 02 product i on ( Stat i on 1 1

surface ) Overal l the control stati ons exh i b i ted greater product i vi ty

wi th a mean val ue of 4 4 ppm 02 product i on compared to 2 8 ppm for the

harvested transect For i nd i vi dual compar i sons between harvested and

6-4

comparabl e control 7 of the n i ne comb i nat i ons (3 stat i on pai rs x 3

depths ) exh i bi ted greater val ues for the control s i tes Thi s d i fference

i n product i v i ty i s expected s i nce the Hydri l l a was removed from Stat i ons

7 8 and 9 For net n i ght res p i rat i on Stat i on 1 1 exh i b i ted the

greatest oxygen demand ( -4 4 ppm 02) and Stat i on 12 the l owest demand

( - 1 4 ppm 02 ) However th i s i ncl udes an anomal ous val ue for the bottom

l ocat i on of Stat i on 12 (+1 8 ppm 02 ) For al l but three compari sons

( Stat i ons 7 and 10) control stat i ons exh i bi ted a greater resp i rat i on

demand than the harvested stati ons The trend of reduced resp i rati on at

harvested stati ons woul d be expected due to weed removal

Tabl e 6 6 l i sts the d i el net product i on val ues for each stat i on

for the 24-hr moni tori ng peri od Only one stat i on ( 7 ) exh i b i ted a

negat i ve net product i on val ue as an average for the total water col umn

Th i s i nd i cates a net consumpti on of oxygen over what i s produced by the

photosynthet i c act i v i ty Whi l e there appear to be d i fferences between

stations and overal l transect val ues these were not stat i s t i cal l y

s i gn i fi cant when tested wi th a I -way ANOVA Est i mates of gross primary

product i on are i l l ustrated i n Tabl e 6 7 For the harvested transect

val ues ranged from -7 3 at mi d-depth of Stat i on 7 to 1 2 at the surface

of Stati on 9 For the control transect val ues ranged from -2 8 (mi dshy

depth Stat i on 1 1 ) to 2 3 at Stat i on 12 The val ues for Stat i on 12 need

to be vi ewed wi th caut i on due to the nature of the fi ne sed i ments at thi s

stat i on as prev i ously stated Overal l Stat i on 7 exh i bi ted the l owest

product i v i ty (x bull -4 7 ) fol l owed by Stat i ons 8 (x bull - 1 9) 1 1 (x bull - 1 7 )

10 ( X bull -0 2 ) 1 2 ( X bull 0 2 ) and 9 (X bull 0 6 ) Whi l e the harvest transect

stati ons exh i bi ted l ower overal l pri mary producti on val ues there was no

s i gn i fi cant d i fference between the control vs harvest transects

Tabl e 6 8 presents esti mates of total resp i rati on for a 24-hr

per i od for each stati on Val ues ranged from - 1 2 0 for the surface of

Stat i on 1 1 to -3 2 for surface and middl e val ues of Stati on 7 The

pos i t i ve 3 6 val ue for the bottom of Stat i on 12 i s an anomal y due to the

nature of sed i ments at th i s stati on Data for Stati on 12 wi l l be

reval u ated to determi ne i f appropri ate correct i ons can be mad e There

were no stati st i cal l y s i gn i fi cant d i fferences between val ues of control

versus harvest transects

6 -5

Vl tO t FINAL REPORT ANALYSES

Data anal ys i s for the i nter im report has not been exten s i ve s i nce

onl y data from one event has been eval uated A second mon i tor i ng was

conducted on January 13 and 1 4 1988 for wh i ch data reduct i on i s not yet

compl eted There i s some i nd i cat i on that there may be a d i fference i n

the parameters measured for the SeptemberOctober sampl i ng between the

control and harvest transects These d i fferences were not stat i st i cal l y

detectabl e based upon anal yses o f the fi rst data set Prel i mi nary rev i ew

of data generated by the January sampl i ng i nd i cate fewer d i fferences

between stat i ons than were found i n SeptemberOctober Subsequent

sampl i ngs may enhance the poss i bi l i ty of detect i ng l ow l evel d i fferences

between control and harvest stat i ons i f such d i fferences actual ly occur

Hvdri l l a regrowth was very rapi d w ith i n the harvest transect As

a resul t of th i s rap id return to basel i ne cond i t i ons i t i s unl i ke1 y

that Quarter I I I and IV cORlllun i ty metabo 1 i sm measurements wi 1 1

d i fferent i ate between control versus harvested stat i ons Thus the

harvest i ng i mpacts on commun i ty metabol i sm appear to be most pronounced

i mmed i ate ly after harvest The fi rst quarterl y col l ect i on showed a l arge

vari ance i n data that i s poss i bl y maski ng d i fferences between harvest and

control stati ons The sampl i ng strategy for the th i rd and fourth

sampl i ngs cou ld be restructured to repl i cate the cond i t i ons of Quarters I

and I I Th i s wou ld prov i de a second set of data to prov i de i nformat i on

on max i mum i mpact for a d i fferent harvest season Seasonal growth

di fferences of Hydri 1 1 a and the Okeechobee peri phyton commun i ty can be

expected to resul t i n seasonal patterns of commun i ty metabol i sm Th i s

wou ld entai l a reharvest of the experi mental transect

As ment i oned i n the resul t s the data from Stat i on 1 2 were qu i te

d i fferent from al l other stat i ons due to the very organ i c substratum

For the fi nal report Stat i on 1 2 data wi l l be del eted and the data set

reanal yzed In add i t i on anal ys i s of pa i red stati on combi nati ons (e g

7 - 10 8 - 1 1 9 - 1 2 ) may enabl e a more prec i se d i fferent i at i on of

d i fferences between control versus harvested stati ons

6-6

LITERATURE CITED

Fonta i ne 1 0 I I I and K C Ewel 1981 Metabol i sm of a Fl ori da USA l ake ecosystem L i mnol Oceanog 26 (4 ) 754 - 763

Lewi s F G I I I and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 16-124

Odum H T 1957 Troph i c structure and product i v i ty of S i l ver Spri ngs Fl ori da Ecol Monographs 27 55- 1 1 2

Odum H T 1967 B i ol og i cal c i rcu i ts and the mari ne ecosystems of Texas p 99 - 157 In I A Ol son and F J Burgess ( eds ) Pol l ut i on and Mari ne Ecol ogy W i l ey I ntersc i ence Publ NY

Odum H T and C M Haski n 1958 Comparat i ve stud i es on the metabol i sm of mar ine waters Publ Inst Mar Sci Texas 5 16-46

Odum H T and R F Wl l son 1962 Further stud i es on reaerat i on and metabol i sm of Texas bays 1958- 1960 Publ Inst Mar Sci Un i v Texas 8 23 - 55

6 -7

Table 11 NOUly trature and di solved oxygen values for th central atat lona ( 10 1 1 12) m three N)dri Ua harvested atat fona at

the Lake Okeechobee study ai te

Irature

Run Statl an I i SUrface Mid BottOM

1

2

3

4

5

6

7

8

9

10

1 1

1 2

13

14

1 5

1 6

1 7

18

19

20

21

22

21

24

2

3

4

5

6

7 1340

7 1 505

7 1608

7 1108

7 1800

7 1908

7 2008

7 2105

7 2200

7 2300

7 2346

7 0049

7 0220

7 0113

7 0412

7 0500

7 0600

7 0700

7 0823

7 0906

7 1 005

7 1 105

7 1 21 3

7 1310

8 1 353

8 1 522

8 1627

8

8 827

8 1934

279 280

28 0 28 2

28 1 28 1

280 280

279 279

280 280

280 280

279 279

275 275

27 5 275

272 272

275 27 5

27 5 273

273 273

270 270

270 270

265 270

26 5 26 5

265

265

265 26 5

270 27 0

275 267

273

277 270

280 280

28 1 28 1

28 0 280

279 279

279 279

280

28 2

28 1

280

279

280

28 0

279

275

27 5

27 2

275

273

27 3

270

270

268

26 5

26 5

265

26 5

26 7

26 7

267

278

28 0

28 1

280

279

279

lenperature 01

SUrface Mid Iottca

DiAOlved OXygen Chle I n Oxygen

Surface Mid IottCIII SUrface M id BottOM

1 2

1 1 - 1

- 1 - 1

1 1

o 0

- 1 - 1

- 4 4

o 0

3 - 3

3 3

o - 2

- 2 0

- 3 - 3

o 0

5 0

8 70 750

2 D 695 680

- 1 A 790 770

- 1 Y 830 740

- 1 720 720

1 720 7 1 0

o 6 70 600

- bull 590 600

- 4 I 7 50 740

o G 660 6 60

- 3 H 700 6 30

3 I 840 820

2 860 930

o 480 4 80

3 430 4 10

o 4 70 460

2 3 70 3 15

o - 5 middot 3 320 3 1 0

3 50 o o o

5 5

5 - 3

2

3

1

- 1

1

1

- 1

- 1 - 1

o 0

o o D 5 40

o A 4 70 4 65

2 Y 630 6 20

o 1 1 00 5 30

o 8 30

590 5 90

2 D 690 680

1 A 7 30 730

- 1 Y 700 7 10

- 1 N 700 730

o 680 6 70

400

615 - 1 75 - 70 275

620 95 90 - 55

640 40 30 20

700 - 1 10 - 20 60

660 00 - 10 - 40

600 - 50 - 1 1 0 - 60

600 - 80 00 00

7 00 1 60 1 40 1 00

650 - 90 - 80 - 50

5 70 40 - 30 - 80

770 1 40 1 90 200

9 0 20 1 10 1 40

480 -380 -450 -430

480 - 50 - 70 00

450 40 50 - 30

3 75 - 1 00 - 85 - 75

320 - 50 - 65 - 55

330 30

460 1 90

430 - 70

500 1 60

340 4 70

4 30 2 70

580 -050

680 1 00

730 40

7 10 bull bull 30

10

1 30

- 30

1 55 70

- 90 - 1 60

90

SO -050

90 1 00

50 50

- 20 - 20

730 00 20 20

6SO - 20 - 60 - 80

Tabl e 11 cont inued

TeIIpeIt Tenpert Ch Run St t i on T i 5 fc Mid lottGl Surfac Mid Botta 5 fce Mid BottGl SUrfac M id lottGl

7

8

9

1 0

1 1

12

11

14

15

16

17

18

19

20

21

22 21

24

1

2

1

4

5

6

7

8

9

1 0

1 1

12

8 2024

8 2124

8 2214

8 211]

8 2402

8 0108

8 0304

8 0346

8 0426

8 05 1 7

8 0612

8 0720

8 0835

8 0920

8 1020

8 1 125

8 1 232

8 1121

9 1409

9 1519

9

9 1 742

9 1848

9 1951

9 2040

9 2142

9 2230

9 2127

9 2420

9 0127

280 278

27 5 275

27 5 275

275 275

272 272

270 270

27 0 270

27 0 270

265 270

265 27 0

26 1 265

26 1 265

265

261 26 1

26 5 265

26 7 26 7

270 270

271

270 272

275 275

276 276

272 272

275 275

27 5 275

27 5 275

270 270

270 270

270 27 0

27 0 270

270 270

278

275

275

275

272

27 0

270

270

270

270

26 5

265

265

261

265

26 7

270

271

270

275

276

272

275

275

275

27 0

27 0

27 0

270

27 0

1 - 1

- 5 - 1

o 0

o 0

- 1 - 1

2 - 2

o 0

o 0

- 5 0

o 0

- 2

o 2

2

2

2

1

1

- 5

o

2

2

1

-1 G 650 640

1 bull 5 80 5 80

o T 6 00 5 90

o 8 00 710

- 1 M 700 6 00

- 2 I 740 750

o G 550 5 50

o 4 60 5 00

o T 4 50 4 40

o 5 00 480

- 5 4 40 4 80

o 1 70 2 80

o D 2 90

- 2 A 2 40 2 40

2 Y 495 4 85

2 5 90 5 70

1 570 5 40

1 640

- 1 - 1 4 20 4 10

5 1 5 D 6 25 575

1 1 1 A 690 670

- 4 - 4 - 4 Y 5 20 5 30

1 1

o 0

o 0

- 5 - 5

o 0

o 0

o 0

o 0

1 5 50 5 10

o bull 6 50 620

o I 6 50 630

- 5 G 7 50 760

o 670 660

o T 5 50 5 70

o 700 1 80

o 9 00 870

630 - 30 - 30 - 20

580 - 70 - 60 - 50

5 70 20 10 - 10

600 200 1 40 10

590 - 1 00 - 1 30 - 1 0

590 40 1 50 00

5 20 - 1 90 - 2 00 - 70

5 00 - 90 - 50 20

4 30 - 1 0 - 60 - 70

480 50 40 50

4 10

2 60

2 80

2 15

485

5 50

5 40

630

- M 00 - 70

- 70 -200 - 1 50

- 80 20

- 50 - 45

2 55 2 45 2 50

95 85 65

- 20 - 30 - 1 0

70 90

410 -2 20 -2 20

5 80 2 05 1 65 1 70

690 65 95 1 10

5 20 - 1 70 - 1 40 - 1 70

5 40 30 00 20

6 10 1 00 90 70

600 00 10 - 1 0

760 1 00 1 30 1 60

640 - 80 - 1 00 - 1 20

4 60 1 20 - 90 - 1 80

680 1 50 - 1 90 2 20

850 2 00 490 1 70

Table 1 1 cont inued

Tenperature

Run Stat i on T ime Surface Mid Botta

13

1 4

1 5

1 6

1 7

1 8

1 9

20

21

22

23

24

1

2

3

4

5

6

7

8

9

1 0

1 1

1 2

1 3

1 4

15

1 6

1 7

9 0318

9 0358

9 0439

9 0535

9 0624

9 0742

9 0850

9 0926

9 1 036

9 1 145

9 1 251

9 1 ]40

10 1419

10 1514

1 0 1618

10 1 716

1 0 1 81 5

10 1 92 1

10 201 7

10 2 1 1 3

10 2207

10 2305

10 2355

10 0057

10 0247

10 Oll8

10 0418

10 0508

10 0605

268 268

265 265

263 265

265 265

26 0 263

260 263

260

26 0 260

26 3 263

265 265

270

273

278 laO

la O la O

la 1 la 1

la 28 1

laO 280

28 0 laO

28 0 278

275 275

272 275

275 27 9

275 275

27 1 27 1

270 273

265 27 0

26 5 270

270 27 0

263 265

268

265

265

26 5

263

263

260

26 0

263

265

27 0

27 0

28 0

28 0

281

28 1

28 0

28 0

278

279

27 5

280

275

27 1

273

27 0

270

27 0

26 7

Tenperature Change Surf-=e Mid Iotta

Di ssolved Oxygen Charae In OXygen

Surface Mid Botten SUrf-=e Mid BottOll

2 2

- 3 - _ 3

- 2 0

2 0

- 5 - 2

o 0

o o

3 3

2 2

5

3

2

1

o

o 1

o

- 1 - 1

o 0

o - 2

- 5 - 3

- 3 0

3 4

o - 4

4 - 4

- 1 2

- 5 - 3

o 0

- 2 bull 450 450

- 3 I 360 355

o G 3lD 360

o H 365 370

T

- 2 365 340

o 210 200

- 3 D 1 10

o A 240 2 1 0

3 Y 4 40 495

2 5 60 5 45

5 600

o 700

580 520

o D 790 790

1 A 890 730

o y 650 630

- 1 880 8 1 0

o 650 680

- 2 600 600

1 N 430 420

- 4 I 3 30 430

5 G 4 1 0 4 60

- 5 H 4 50 5 50

- 4 T 830 820

2 630 7 1 0

- 3 4 40 460

o 420 4 30

5 0 0 4 10 3 90

- 7 - 5 - 3 3 10 360

4 50 -450 -420 -4 00

395 - 90 - 95 - 55

300 - 30 05 - 95

340 35 10 40

335 00 - lD - 05

2 00 - 1 55 - 1 40 - 1 35

1 40 - 40 - 60

2 10 70 70

4 10 200 285 260

4 80 1 20

5 60 40

5 0 1 0

80

670 1 00 1 1 0

5 40

590 2 1 0 270 50

5 90 1 00 - 60 00

6 50 -2 40 - 1 00 60

6 00 2 30 1 80 - 50

620 -2 30 - 1 lD 20

5 90 - 50 - 80 - 30

4 50 - 1 70 - 1 80 - 1 40

4 00 - 1 00 10 - 50

4 20 80 lD 20

4 80 40 90 60

8 10 3 80 2 70 330

730 -200 - 1 10 - 80

4 55 - 1 90 -250 -2 75

440 - 20 - 30 - 1 5

3 95 - 1 0 - 40 - 45

3 60 - 40 - _30 - 35

Table 81 cont inued

Teaprature Teaperature QUI D f ssol ved IlXWen Chqe In Oxygen Ral Stat i on T i_ Surface Mfd BoU_ SUrface M i d IIOtt_ Surface Mid Batt_ SUrface Mid Bott_

11

1 9

20

21

22

23

24

2

3

4

5

6

7

I 9

1 0

1 1

1 2

1 3

1 4

1 5

16

1 7

1 1

1 9

20

21

22

23

1 0 0712

10 0821

10 0912

10 1 01 0

10 1 11 2

10 1 Z20

10 1 316

1 1 1455

11 1521

11 1641

11 1 732

11 18lO

1 1 1938

1 1 2029

1 1 2130

1 1 2Z20

1 1 2311

1 1 2408

1 1 0116

1 1 0310

11 0350

1 1 0430

1 1 0524

1 1 0617

1 1 0729

084 1

1 1 0926

1 1 1026

11 1 131

11 1238

263 265

263

265 265

265 265

273 26 5

285 270

277

271 271

280 271

280 280

280 280

275 280

275 275

275 275

275 271

275 275

272 275

270 27 1

270 27 0

261 270

261 270

270 270

260 265

260 263

263 265

263

263 263

265 265

280 270

293 273

26 7

26 5

26 5

26 5

26 5

270

26 7

271

271

210

210

21 0

275

27 5

271

275

27 2

27 1

270

270

270

270

26 7

26 5

26 5

26 5

263

26 5

26 7

270

o o

2

o 1

1 2

- 1

o

o o

5

o 390

- 2 D 4 75

o A 5 15

o y 640

o 900

5 1 1 00

- 3 1040

390

4 80

3 80

4 30

5 80

1 1 1 1 00 520

2 0 0 D 150 600

o 2 2 A 160 5 70

o 0 0 Y 900 660

-5 0 0 650 680

o - 5 - 5 660 630

o 0 0 5 50 5 80

o 3 3 M 560 550

o 3 - 3 I 5 10 5 00

middot 3 0 - 3 G 5 90 5 50

- 2 - 4 - 1 H 620 5 90

o - 1 - 1 T 710 690

- 2 0 0

0 0 0

2 0 0

- 1 5 - 3

4 20 430

3 75 3 70

360 350

3 00 295

o 3

o o

2

1 5

1 3

2

2

2

5

3

- 2 280

o 4 1 0

o 5 85

- 2 D 650

2 A 720

2 Y 1360

3 1 540

2 70

4 1 0

5 40

5 70

100

740

410

4 00

4 1 0

290

360

4 10

290

20 30 50

15 - 1 0

40 1 0

1 25 - 1 00 -1 20

2 60 50 70

200 1 50 1 1 0

- 60 -1 80

525 -240 235

6 00 50 80 75

500 1 0 - 30 -1 00

650 40 90 1 50

660 -250 20 1 0

600 1 0 - 50 60

560 - 1 1 0 - 50 - 40

5 50 1 0 - 30 - 10

490 - 50 - 50 - 60

410 80 50 - 20

600 30 40 1 30

640 _90 1 00 40

4 40 -290 -260 -200

400 - _45 - 60 - 40

3 50 - 1 5 - 20 - 50

300 - 60 - 55 - 50

3 00

4 25

5 15

495

480

680

610

- 20

1 30

1 75

65

70

640

1 80

- 25

1 40

30

230

- 60

00

1 25

90

- 20

- 15

200

- 1 0

Table e 1 cont l nuacl

leaperature leaptrature Change

Rill Statten I I Surface Mfd lottca SUrface Mid Bottca surface Mid Bottca SUrface Mid Bottca

24

1

2

]

4

5

6

7

8

9

10

1 1

1 2

1 ]

14

15

16

17

18

19

20

21

22

2]

24

1 1 1329

12 1 4]]

12 1546

12 1 655

1 2 1 752

1 2 1857

12 1 957

12 2045

12 2141

1 2 2214

12 2]]]

12 2426

12 0133

12 0122

12 0401

1 2 044]

12 0542

12 0629

12 0746

12 855

12 941

12 1 045

12 1 150

12 1255

12 1 344

29]

27] 275

27 5 271

276 275

272 275

275 275

270 270

27 1 275

270 272

275 275

270 27 0

270 270

270 27 0

265 265

26 ] 265

26 ] 26 5

26 5 26 5

260 26 ]

26 ]

260

26 0 260

26 7 26 ]

27] 26 ]

277

29 0

270

275

275

275

27 1

275

27 0

27 1

270

270

27 0

27 0

270

261

26 5

26 7

265

265

26]

260

26 0

26]

26]

26 5

27]

o

2 ]

o 1 4 00

4 50 220

o D 6 SO 5 60

1 - ] 0 A 100 4 50

- 4 0 - 4 5 10 4 90

] 0

5 - 5

1 5

- 1 ]

5 ]

5 - 5

o 0

o 0

- 5 5

- 2 0

o 0

2 0

- 5 2

]

- ]

o 7 ]

6 0

4

1 ]

4 4 60 440

5 4 80 4 70

1 450 5 00

1 II 790 690

o I ]90 ]90

o G 620 5 20

o N 580 5 50

o I 730 750

- 2 4 10 400

-] ]60 ] 55

2 260 2 70

2 2]5 2 ]0

o 280 2 50

2 1 10

] D 1 60

o A 1 60 1 ]0

] 690 220

o 920 ] 60

2 630

8 1 0 00

640 1 40 - ]0

1 90

4 1 0 200 ] 40 220

400 1 50 1 10 - 1 0

40 -2]0 40 middot]60

440 -1 10 - 50 400

480 20 30 40

10 - ]0 30 - 4 1 0

]20 ] 40 1 90 250

]00 -400 -]00 - 20

]00 2]0 1 30 00 2 1 0 - 40 30 - 90

400 1 50 200 1 90

90 -] 20 -]50 -] 1 0

1 00 - 50 bull bull 45 1 0

240 - 1 00 - 85 1 40

220 - 25 - 40 - 20

230 45 20 1 0

07 - 1 70 -221

10 50 61

50 00 - 20

]50 5 ]0 90 ] 00

290 2 ]0 1 40 - 60

240 -290 - 50

490 ] 70 2 50

Table 12 PhotaDet ry values for surface i d and bot tca depths for a l l stat ions for the 24 hour

Rlni tori peri od of Septeri)er 30 through October 1 1981 Deck lIIi t readings are used as a

llleasure of the var i a t i on i n incident sllll f t comi t fons (Uni ts icroei nste i nssec )

Rln Stat i on

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

1

1

1

1

1

1

1

1

1

1

1

1

1

9

9

9

9

9

Time

1340

1 501

1606

1 709

1800

1906

100

823

906

1 005

1 105

1213

1310

1 341

1521

1621

1 124

1826

1932

120

835

920

1 020

1 125

1 232

1 323

1409

1 531

165 1

1 142

1846

Slbners

Deck 1 Deck 2 Deck 3 Deck 4 eel ib Surface 05 bull 1 0 bull

195

140

910

410

183

1 0 5

3 2

210

580 620

1 700

2100

410

195

660 630

310

93

o 1 5

440

410

140

1 000

2100

2100

228

500

650

190

61

201

130 1020

460

180

102

3 3

210

510

560

1800

2200

500

195

650

810

300

1 1 1

o 14

420

360

570

1200

2200

2200

234

510

640

1 70

61

201

130

1 140

400

168

93

34

o o

460 1 700

2100

o

198

640

660 310

18 o

14

o 400

1300

110

2100

o

246

530

650

160

41

201

130 1 11

440

165

81

34

230 540

790 1100

2200

550

201

610

520

320

75 o

14

560

410

110

560

2200

2200

246

520

600

141

41

189

580 61 0

290 123

9

59

160

440

450

1600

1600

350

186

510

480 200

54

o 4 2

3 1 0

300

560

650

1500

1500

231

430

430

180

55

156

450

490

210

1 1 1

96

8 1

1 30

340

360 1 1 00

100

300

1 11

420

450

168

51

o 14

210

240

320

500

1400

1200

195

350

360

140

33

54

225

144

12 39

66

18

o o

55

500

650

o

99 111

195

60

1 1 1

o 1 2

o 140

310

180

320

o

108

129

120

54

14 1

38 59

51

1 1 1

1 2 3

5 5

1 6

1 1

88

35

55

19 5 1

16

16

54

26

15

o

65

11

90

40

300

250

12

58

1 3 5

1 9

1

lIble 82 cont inued

R Sut i on

6

18

19

20

21

22

23

24

1

2

3

4

5

6

18

1 9

20

21

22

23

24

2

3

4

5

6

18

19

20

21

23

24

9

9

9

9

9

9

9

9

10

10

10

10

10

10

10

10

10

10

10

10

10

11

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

742

850

936 1038

1 145

1251

1 340

1419

1 51 3

1616

1 716

1815

1919

712

828

91 2

1010

1 1 12

1220

1 316

1455

1527

1639

1 730

1835

n9

841

926

1 026

1 238

1329

SlbIRrl

0ec1r 1 0ec1r 2 0ec1r 3 0ec1r 4 Cal l b Sw-flce 0 5 1 0 bull

o 52

280 430

1 100

520

590

2100

330

730

760

420

126

4 6

42

230

320

1600

1 100

1 200

590

750

580

780 260

60 o

20

600

280

1400

1 100

2100

o 52

280

390

1000

530

570

2100

350

740

750

400

126

41

4 1

230 280 750

1700

850

540

77D 570

720 260

60

o 20

360 220

1200

800

1900

o 0

55 57

o ]40

350 320

1000 780 680 660

o 62000 o 600

360 390

730 730 71 0 690

370 360 120 1 14

33 29

4 3 4 6

o 280

530 330

850 1400

1900 1800

1 400 1900

o 530

810 850

550 540

no 690 330 260

60 60

o 0

23 26

o 350

220 240

1500 1500

no 2000

o 700

o 42

210

310

7DO 370

420

1600

300

540

570

280 87

58

64

220

250

700

1400

800

420

550

460 660 240

54

o 19

400

230

1 100

700

1500

o 37

190

250

460 300

330

1300

270

500

410

220

81

6 7

78

90

150

150

800

280

150

420

400

550

200

28

o 13

80

130

650

500

900

o 23

o 130

150

210

o o

66 45

24

99 78

54

76

o 68

69

73

71

o

52

54

1 5

9

69

o 84

o 7 1

7

5 1

o

o 14

1 1

37

10

55

91

61

66 45

30

84

78

5 2

76

73

72

68

7

69

43

490

55

144

84

66

o 83

88

7

69

5 3

4 6

Table 12 cont lrued

SbDe

RIII Stat ion Deck 1 Deck 2 Deck 3 Deck 4 Cal l b surface 05 bull 1 0 bull

12 1433 550 570 600 650 480 420 540 52

2 12 1545 490 480 490 490 410 350 46 41

3 12 1658 400 430 430 440 4 1 0 350 105 350

4 12 1748 180 180 171 1 74 150 126 81 84

5 12 1 856 29 29 25 lJ 27 1 5 6 1 61

6 12 0 0 0 0 0 0 0 0

18 12 746 64 62 0 7l 49 27 0 7

19 1 2 155 230 230 0 290 180 1 50 0 69

20 12 941 320 300 380 360 240 180 21 7

2 1 12 1045 1 400 1400 1 200 1300 1 200 900 69 75

23 12 1255 2100 2100 0 20000 1600 710 0 4 8

24 12 1144 2100 2100 0 700 1600 1300 0 4

Table 83 Light penetration parameters SUrface light (awroximately 2an below water surface) light at o 5m anl 1 Om as well as the peJOeJ1tage of the surface value anl extintion coefficient for eadl station are represented

SUrface (0 5 Meter) (1 0 Meter) Run Time Light Light Percent Ext Q)ef Light Percent Ext Q)ef

station 7 1 1340 156 0 54 0 34 6 2 12 38 0 24 4 1 41 2 1507 4500 225 0 50 0 1 39 59 0 13 1 2 03 3 1606 490 0 144 0 29 4 2 45 57 0 11 6 2 15 4 1709 210 0 72 0 34 3 2 14 11 1 5 3 2 94 5 1800 111 0 39 0 35 1 2 09 12 3 11 1 2 20 6 1906 9 6 6 6 68 8 75 5 5 57 3 56

18 700 8 1 7 8 96 3 08 7 6 93 8 06 19 823 130 0 11 0 8 5 2 47 20 906 340 0 8 8 2 6 3 65 21 1005 360 0 55 0 15 3 3 76 35 0 9 7 2 33 22 1105 1100 0 500 0 45 5 1 58 55 0 5 0 3 00 23 1213 700 0 650 0 92 9 15 79 0 11 3 2 18 24 1310 300 0 5 1 1 7 4 07

station 8 1 1347 171 0 99 0 57 9 1 09 76 0 44 4 81 2 1521 420 0 177 0 42 1 173 76 0 18 1 1 71 3 1627 450 0 195 0 43 3 1 67 54 0 12 0 2 12 4 1724 168 0 60 0 35 7 2 06 26 0 15 5 1 87 5 1826 51 0 17 1 33 5 2 19 7 5 14 7 1 92

18 720 14 0 12 0 85 7 31 1 0 7 1 2 64 19 835 210 0 65 0 31 0 1 17 20 920 240 0 140 0 58 3 1 08 77 0 32 1 1 14 21 1020 320 0 370 0 115 6 - 29 90 0 28 1 1 27 22 1125 5000 180 0 36 0 2 04 40 0 8 0 2 53 23 1232 1400 0 320 0 22 9 2 95 300 0 21 4 1 54 24 1323 1200 0 250 0 20 8 1 57

Table 8a continued

statioo 9 1 2 3 4 5

18 19 20 21 22 23 24

statioo 10 1 2 3 4 5 6

18 19 20 21 22 23 24

surface Time Light

1409 1950 1537 350 0 1651 360 0 1742 140 0 1846 33 0

742 37 0 850 190 0 936 250 0

1038 460 0 1145 300 0 1251 330 0 1340 1300 0

1419 270 0 1513 500 0 1616 410 0 1716 220 0 1815 81 0 1919 6 7 712 7 8 828 90 0 912 150 0

1010 150 0 1112 800 0 1220 280 0 1316 150 0

(0 5 Meter) Light PeJoent EKt Qlef

108 0 55 4 1 18 129 0 36 9 2 00 120 0 33 3 2 20

54 0 38 6 1 91 14 1 42 7 1 70 23 0 62 2 95

0 130 0 52 0 1 31 150 0 32 6 2 24 210 0 70 0 71

66 0 24 4 2 82 45 0 9 0 4 82 24 0 5 9 5 68 99 0 45 0 1 60

7 8 9 6 4 68 5 4 80 6 43 7 6 97 4 05

6 8 4 5 6 19 6 9 4 6 6 16 7 3 9 9 39 7 1 2 5 7 35

( 1 0 Meter) Light Percent EKt Qlef

72 0 36 9 1 00 58 0 16 6 1 80 13 5 3 8 3 28 19 0 13 6 2 00 7 0 21 2 1 55

14 0 37 8 97 11 0 5 8 2 85 37 0 14 8 1 91 10 0 2 2 3 83 55 0 18 3 1 70 91 0 27 6 1 29 61 0 4 7 3 06

66 0 24 4 141 45 0 9 0 2 41 30 0 7 3 2 61

8 4 3 8 3 27 7 8 9 6 2 34 5 2 77 6 25 7 6 97 4 03 7 3 8 1 2 51 7 2 4 8 3 04 6 8 4 5 3 09 7 0 9 4 74 6 9 2 5 3 70 4 3 2 9 3 55

Table 83 continued

SUrface Time Light

statioo 11 1 1455 420 0 2 1527 400 0 3 1639 5500 4 1730 2000 5 1835 28 0

18 729 13 0 19 841 80 0 20 926 130 0 21 1026 6500 23 1238 500 0 24 1329 9000

statioo 12 1 1433 420 0 2 1545 350 0 3 1658 3500 4 1748 126 0 5 1856 15 0

18 746 27 0 19 855 1500 20 941 180 0 21 1045 900 0 23 1255 710 0 24 1344 13000

(0 5 Meter) Light Feroent Ext Q)ef

52 0 12 4 4 18 54 0 13 5 4 00 15 0 2 7 7 20

9 0 4 5 6 20 69 24 6 2 80 8 4 64 6 87

7 1 5 5 5 81 7 0 1 1 9 06 5 1 1 0 9 17

540 0 128 6 -50 46 0 13 1 4 06 10 5 3 0 7 01

8 1 6 4 5 49 6 1 407 1 80

21 0 11 7 4 30 6 9 8 9 74

(1 0 Meter) Light Peloent Ext Q)ef

490 0 1167 - 15 55 0 13 8 1 98 14 4 2 6 3 64

8 4 4 2 3 17 6 6 23 6 1 45 8 3 63 8 45 8 8 11 0 2 21 7 0 54 2 92 6 9 1 1 4 55 5 3 1 1 4 55 4 6 5 5 28

52 0 12 4 2 09 41 0 117 2 14

350 0 100 0 00 8 4 6 7 2 71 6 1 407 90 7 0 25 9 1 35 6 9 4 6 3 08 7 0 3 9 3 25 7 5 8 4 79 4 8 7 500 4 0 3 578

Tabl e t

Run Stat i on - - _ - - -

1 7 2 7 3 7 4 7 5 7

6 7 7 7 8 7 9 7

1 0 7 1 1 7 1 2 7 13 7 14 7 IS 7 16 7 1 7 7

1 8 7 19 7 20 7 2 1 7 22 7 23 7 24 7

1 8 2 8 3 8 4 8

5 8 6 8 7 8 8 8 9 8

1 0 8 1 1 8 1 2 8 1 3 8 14 8 1 5 8

01 sso 1 ved oxygen va 1 ues expressed as percentages of s aturat i on for each stat i on over the 24 hour mon tori ng peri od

Percent Saturati on - Di ssol ved Oxygen T i me Surface Mid Bottom

- - - - - - - - - - - - _ - - -

1340 1 1 1 25 96 1 5 1 2 1 505 89 03 87 4 86 8 1608 10 1 38 98 8 79 6 1 708 106 33 94 8 82 0 1800 92 07 92 1 89 5

1908 92 24 9 1 0 84 5 N I GHT 2008 85 83 76 9 76 9 2 1 05 75 45 76 7 76 7 2200 95 23 94 0 88 9 2300 83 80 83 8 82 5 2346 88 40 79 6 72 0 0049 106 65 1 04 1 97 8 0220 109 19 1 1 7 7 1 1 5 1 0333 60 73 60 7 60 7 04 1 2 54 1 1 5 1 6 60 4 0500 59 14 57 9 56 6 0600 46 14 47 2 47 0

0700 39 9 1 38 7 39 9 DAY 0823 43 65 4 1 2 0906 67 34 57 4 1005 58 61 58 0 53 6 1 105 79 28 78 0 62 6 1 21 3 139 67 66 3 42 6 1 3 10 1 05 01 53 8

1353 75 18 74 2 74 0 1 522 88 39 87 1 87 1 1627 93 68 93 7 93 7

89 67 9 1 0 9 1 0

1827 89 51 93 4 93 4 N I GHT 1 934 86 96 85 7 83 1 2024 83 27 8 1 7 80 4 2 1 24 73 64 73 6 73 6 22 14 76 18 74 9 72 4 231 3 101 58 92 7 76 2 2402 88 40 75 8 74 5 0 108 93 12 94 4 74 2 0304 69 21 69 2 65 4 0346 57 88 62 9 62 9 0426 56 12 55 4 54 1

Tabl e 84 cont i nued

Run Stat i on

16 8

1 7 8 18 8 1 9 8 20 8 2 1 8 22 8 23 8 24 8

1 9 2 9 3 9 4 9

5 9 6 9 7 9 8 9 9 9

10 9 1 1 9 1 2 9 13 9 14 9 1 5 9 16 9

1 7 9 18 9 1 9 9 20 9 2 1 9 22 9 23 9 24 9

1 10 2 10 3 1 0 4 10

Percent Saturati on - Di ssol ved Oxygen T i me Surface M id Bottom

051 7 62 35 60 4 60 4

06 12 54 67 59 9 51 1 0720 45 97 34 9 32 4 0835 36 16 34 9 0920 29 82 29 8 29 2 1020 6 1 73 60 5 60 5 1 1 25 73 84 71 3 68 8 1232 71 73 68 0 68 0 1323 80 97 79 7

1409 52 85 51 8 51 6 1539 79 36 73 0 73 6

87 77 85 2 87 8 1 742 65 67 66 9 65 7

1848 69 83 67 3 68 6 1953 82 53 78 7 77 5 2040 82 53 80 0 76 2 2 142 94 38 95 6 95 6 2230 84 3 1 83 1 80 5 2327 69 2 1 7 1 7 57 9 2420 88 08 47 8 85 6 0127 1 13 25 109 5 107 0 03 18 56 42 56 4 56 4 0358 44 89 44 3 49 3 0439 4 1 00 44 9 37 4 0535 45 52 46 1 42 4

0624 45 10 42 2 4 1 6 0742 25 95 24 9 24 9 0850 21 0 1 1 7 3 0926 29 66 26 0 26 0 1036 54 67 61 5 58 4 1 145 69 83 68 0 59 9 1 25 1 7 5 50 70 5 1340 88 56 84 3

14 19 74 04 66 6 69 2 1 5 14 101 20 101 2 7 5 6 1 6 18 1 14 22 93 7 75 7 1 7 16 83 42 80 8 83 4

DAY

N IGHT

DAY

Tabl e SA conti nued

Run Stat i on

5 1 0 6 10 7 1 0 8 1 0 9 1 0

1 0 1 0 1 1 1 0 1 2 10 1 3 10 14 10 1 5 1 0 1 6 1 0 1 7 1 0

1 8 1 0 19 10 20 1 0 2 1 1 0 22 10 23 1 0 24 10

1 1 1 2 1 1 3 1 1 4 1 1

5 1 1 6 1 1 7 1 1 8 1 1 9 1 1

1 0 1 1 1 1 1 1 1 2 1 1 1 3 1 1 1 4 1 1 1 5 1 1 1 6 1 1

1 7 1 1 18 1 1 19 1 1 20 1 1

Percent Saturat i on - Di ssol ved Oxygen T ime Surface Hi d Bottom

18 15 1 12 73 103 8 76 9 192 1 83 27 87 1 79 4 201 7 76 86 76 6 75 3 2 1 1 3 54 60 53 3 57 5 2207 41 68 54 6 50 8 2305 52 06 58 8 53 8 2355 57 14 69 8 60 9 0057 1 04 63 1 03 4 1 02 1 0247 79 28 89 8 92 4 0338 54 87 57 9 57 3 041 8 52 38 54 1 55 4 0508 5 1 59 49 1 49 7 0605 45 97 44 9 45 1

07 1 2 48 46 48 6 5 1 3 0828 59 02 49 9 09 1 2 64 22 59 9 5 1 1 10 10 79 8 1 47 4 36 2 1 1 12 1 13 86 53 6 44 9 1 220 142 1 7 73 0 59 1 1 3 16 132 52 36 3

1455 102 1 2 66 4 67 0 1 528 1 08 89 76 6 76 6 1641 1 10 1 7 73 0 64 1 1 732 1 1 5 29 84 5 83 3

82 53 87 1 84 5 1938 83 80 80 0 76 2 2029 69 83 73 6 7 1 1 2130 7 1 10 70 2 70 2 2220 64 75 63 5 62 2 23 18 74 51 69 8 59 4 2408 78 02 74 4 75 6 0 1 16 89 34 86 8 80 5 03 1 0 52 66 54 1 55 4 0350 47 02 46 6 50 3 0430 45 30 44 0 44 0 0524 37 07 36 8 37 5

061 7 34 60 33 5 37 4 0729 50 94 5 1 1 53 0 0841 72 69 64 2 0926 80 76 67 1 6 1 5

N IGHT

DAY

N I GHT

DAY

Tabl e SA con t i nued

Run Stati on

2 1 1 1 22 1 1 23 1 1 24 1 1

1 1 2 2 1 2 3 1 2 4 1 2

5 1 2 6 1 2 7 1 2 8 1 2 9 1 2

10 12 1 1 1 2 1 2 1 2 1 3 1 2 1 4 1 2 1 5 1 2 16 1 2

1 7 1 2 18 12 19 12 20 12 2 1 1 2 2 2 1 2 23 1 2 2 4 1 2

Percent Saturat ion - D i s sol ved Oxygen Ti me Surface Mid Bottom

1 026 89 79 7 1 1 59 9 1 13 1 174 22 1 00 7 85 1 1 238 201 84 93 6 84 3 1329 183 50 80 5

1 433 56 93 27 9 24 1 1 546 82 53 71 5 52 1

10 1 76 57 1 50 8 7 1 98 62 2 5 0

1 857 58 41 55 9 55 9 1957 60 40 59 1 60 4 2045 56 73 63 5 8 8 2 148 99 41 87 1 40 3 2234 49 52 49 5 37 8 2333 78 02 65 4 37 8 2426 72 98 69 2 26 4 0133 91 86 94 4 50 3 0322 5 1 13 49 9 1 1 3 040 1 44 73 44 3 1 2 5 0443 32 3 1 33 7 30 0 0542 29 3 1 28 7 27 4

0629 34 60 3 1 1 28 7 0746 1 3 67 9 0855 19 77 8 7 094 1 19 77 1 6 1 6 2 1045 86 36 27 3 43 5 1 150 1 16 39 44 7 36 0 1 255 80 28 29 9 1344 1 30 38 62 0

NI GHT

DAY

Table 6 5

surface

Midlle

Bottan

X

Sd

Die net production (P i = 00 CNer 24 hrl for each station expressed as parts per millim dissolved equivalent to an oxygen per m3 of water) bull

Harvest Area Olntrol Site Oerall

7 8 9 S d 10 11 12 S d S d

-0 4 0 5 2 8 0 96 1 65 4 6 6 0 1 8 4 1 2 1 2 5 2 4

-3 8 -0 1 1 3 -0 87 2 64 -0 3 0 9 2 6 1 1 1 5 0 1 2 2

0 3 0 5 2 6 1 13 1 27 -2 5 1 2 0 5 -0 3 2 0 04 1 7

-1 3 0 3 2 2 0 4 1 9 0 6 2 7 1 6

2 2 0 3 0 8 3 6 2 9 1 1

Table 6 6 Dlytime net productioo (00 sunrise to sunset) tqgt ani net night time respiratioo (00 sunset to sunrise) bottan for eadl statioo expressed as IPD productionutilization

Harvest Area CCXltrol site OVerall

7 8 9 X S d 10 11 12 S d x S d

surface 3 1 2 5 4 4 3 3 1 0 7 0 12 0 5 2 8 1 3 5 5 7 3 5

Miane -03 2 2 2 9 1 6 1 7 2 1 4 6 5 2 4 0 1 6 2 8 2 0

Bottan 3 6 2 8 4 4 3 6 0 8 0 1 4 7 -1 3 1 2 3 1 2 4 2 4

x 2 1 2 5 3 9 2 8 1 4 3 1 7 1 3 0 4 4 3 9 3 6 3 0

S d 2 1 0 3 0 9 3 6 4 2 3 8

Net Night Time Respiration

Harvest Area Cbntrol site OVerall

7 8 9 Sd 10 11 12 x Sd S d

surface -3 5 -2 0 -1 6 -2 4 1 0 -2 4 -6 0 -3 4 -3 9 1 9 -3 2 1 6

Miane -3 5 -2 3 -1 6 -2 5 1 0 -2 4 -3 7 -2 6 -2 9 07 -2 7 0 8

Bottan -3 3 -2 3 -1 8 -2 5 0 8 -2 6 -3 5 1 8 -1 4 2 8 -2 0 1 9

x -3 4 -2 2 -1 7 -2 4 0 8 -2 5 -4 4 -14 -2 8 2 0 -2 6 1 5

Sd 0 1 0 2 0 1 0 1 1 4 2 8

Table 6 7 Estimates of gross primary production () for each station

Harvest Area COntrol site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -3 9 -1 5 1 2 -1 4 2 3 2 1 0 0 -1 6 0 5 1 6 -07 2 2

Middle -7 3 -2 4 -0 3 -3 3 3 6 -2 7 -2 S 0 0 -l o S 1 6 -2 6 2 6

Bottan -3 0 -l o S O S -1 3 1 9 0 0 -2 3 2 3 0 0 2 3 -07 2 0

-x -4 7 -1 9 0 6 -2 0 2 6 -0 2 -1 7 0 2 -0 6 1 9 -1 3 2 3

S d 2 3 0 5 O S 2 4 1 5 2 0

Table 6 8 Estimates of total respiration for a 24 hem period for each amptatioo

Harvest Area Control site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -7 0 -4 0 -3 2 -4 7 2 0 -4 S -12 0 -6 S -7 9 3 7 -6 3 3 2

Middle -7 0 -4 6 -3 2 -4 9 1 9 -4 S -7 4 -5 2 -5 S 1 4 -5 4 1 6

Bottan -6 6 -4 6 -3 6 -4 9 1 5 -5 2 -7 0 3 6 -2 9 5 7 -3 9 3 4

-x -6 9 -4 4 3 3 -4 S 1 6 -4 9 -S S -2 S -5 5 4 1 -5 2 3 0

Sd 0 2 0 3 0 2 0 2 2 S 5 6

c=J H A R V E S T I N G T R A N S E C T S

11 E X F E R I M E N T A L T R A N S E C T S

A F F R O X I M A T E W E E D L I N E

I

t middot

I I I I I I I I 1 5

gt-[ 0 r- 0 Z I LU J LU deg 1 00 o a CIl I IU 0 O LU 0( W J X IJ deg I

LAKE OKEECHOBEE

o rum 9 i

-

N O R T H L A K E

S H O A L

F i g ure 6 1 Loc a t i on o f s i x s ta t i on s s amp l ed for commu n i ty meta bo l i sm

5 2 o l c nso on y L e l i cr th ud te o

D i s s o l ve d O xyg e n - S u rfa c e 1 6---------------------------------------------------------- H a rvested

Veg etated

1 2

4

0 0 0 0 0 0 0 0 0 0 0 0 N 00 I) -- N 0 0 -

Ti m e

Figure 6 3 Surface oxygen values over the 2 4 hour mon itoring period for a l l s ix mon itoring stat ions

D i s s o lv e d O xyg e n - Botto m 1 0-----------------------------------------------------------

8

6

4

2

a a a CI

a a CI a

Ti m e

a a co a

a a I) -

H a rvested

Veg etated

Figure 6 4 Bottom dissolved oxygen values over the 2 4 hour monitoring period for a l l s ix mon itor ing s tat ions

M e a n D i s s o l v e d O xyg e n 1 2--------------------------------------------------------

1 0

8

CJ1 6 E

4

2

0 0 0 0 0 0 0 0 0 0 0 r 0 N to I) - N 0 0 -

Ti m e

H a rvested

Veg etated

F igure 6 5 Mean surface d i ssolved oxygen for harvested versus control stat i ons

VII SEDIMENT CHEMI STRY

V I I A INTRODUCTION

Analyses of nutri ent content of the sed i ments of lake Okeechobee

i nd i cate that more than 35 of the phosphorus and more than 20 of the

n i trogen l oad to the l ake rema i ns wi thi n the l ake e i ther i n the

sed i ments or i n assoc i at i on wi th bi ol og i cal materi al wh i ch contri butes to

the detri tal port i on of the sed i ments Trans fer of water col umn

phosphorus to sed i ment appears to be extremely rap i d i n shal l ow areas

wi th more than 50 of amounts added to the water be i ng sequestered by

sed i ment wi th i n 10 days

Ut i l i zati on of sed i ment nutri ents has been demon strated for rooted

submerged macrophytes For phosphorus uptake by Euras i an mi 1 fo i l i n

part i cul ar sed i ment uptake i s preferent i al unt i l water col umn

concentrat i ons exceed a threshol d val ue Sed i ment chemi stri es may

demonstrate measurabl e d i fferences i n areas where Hydri l l a has been

harvested and i s act i vel y regrowi ng al though these changes i f detected

s houl d be sl i ght i n rel ati on to bul k concentrat i ons and shou l d remai n

fa i rly l oc al i zed

Basel i ne sed i ment anal ysi s i s underway to asses s the comparabi l i ty

of control and harvested areas and can resol ve questi ons about gross

vari ati on s i n substratum that coul d substant i al l y affect regrowth of

Hydri l l a The same n i ne (9 ) control stat i ons i denti fi ed i n the water

qual i ty task are be i ng sampl ed together wi th three ( 3 ) stat ions i n the

experi mental transect

V I I B METHODS

V I I I B 1 Sampl i ng

The Basel i ne and Fi rst Post Operat i onal tasks of sed i ment

chemi stry were conducted concurrentl y on November 2 1987 between 0830

and 1600 hrs Duri ng thi s sampl i ng effort there were NE wi nds of 1 5 -

7- 1

20 kts a 2 ft chop i n exposed areas ( Stat i on 13 ) and i ntermi ttent ra i n

squal l s throughout the day

Core sampl es were col l ected i n tr i pl i cate to permi t stat i st i cal

ana l yses from each of 12 stat i ons ( F i gure 7 1 ) u s i ng a boat operated

p i ston - type corer approx imately 7 6cm i n d i ameter equ i pped wi th a check

val ve to rel ease overl yi ng water and a serrated edge to penetrate the

detri tal l ayer ( F i gure 7 2 ) Maxi mum core depth was 20 -25 cm as a very

hard substratum was encountered bel ow 15-20cm of sed i ment Al l cores

penetrated to a sed i ment depth of at l east 1 5cm Us i ng a Beckman 21 i n

1i1Y meter and an i on - spec i fi c probe oxi dat i on -reduct i on potent i al was

measured through ports i n the sampl er at 2cm Scm and 1 5cm hori zon s

wh i l e the sed i ment remai ned i n the corer After measurement of redox

potent i al s the sed i ment was extruded i nto a pl ast i c tub Promi nent

hori zons were noted and any overl y i ng detr itus and rh i zomes were removed

The sed i ment above 15cm was then wel l m i xed transferred to pol yethyl ene

conta i ners and ma i ntai ned on i ce for transport to MML

VI I B 2 Anal Ys i s

A total of 36 cores were processed Total Kje ldahl n i trogen and

total phosphoru s were anal yzed from the f i el d-mo i st sampl es (ma i nta i ned

at 40C ) w i t h i n one week of col l ect i on Methods uti l i zed were from Pl umb

( 1981 ) Kjel dahl d i gest i on i n a bl ock d i gester of 0 5 -2 0g of sed i ment

was fol l owed by sampl e reconsti tut i on automated d i l ut i on and

col or i metr i c determi nat i on of ammoni a and phosphate by Techn i con

AutoAnal yzer I I The resul tant n i trogen and phosphoru s concentrati ons

were converted to a dry we i ght bas i s u s i ng percent mo i sture

determi nat i ons and d i gested sampl e we i ghts

Percent mo i sture was determi ned on al l sampl es al so accord i ng to

methods g i ven in the above reference Sampl es were dri ed at 103 - 1050C

and the dri ed mater i al empl oyed i n percent organ i cs and potass i um

anal yses Procedures for the potass i um anal ysi s are deri ved from the

AOAC Methods of Anal ys i s 13th Ed i t i on 1 980 Less than L Og of dri ed

ground sed i ment was d i gested wi th perchl ori c and hydrofl uor i c ac i ds

d i l uted and anal yzed by atom i c absorpti on

7-2

Gra i n s i ze anal yses were performed on the sed i ment fract i on and

i ncl uded dry s i ev i ng through whol e phi s i ze s i eves together wi th p i pette

anal ys i s and s i ze fract i onat i on of the ltO 063nvn materi al Gra i n s i ze

d i stri but i ons and descri pt i ve stat i st i cs (mean med i an gra i n s i ze

sort i ng skewness and kurtosi s ) were cal cul ated

VI I C INTERIM RESULTS AND DISCUSSION

Tabl es 7 1 l i sts stat i on means of sel ected parameters for sed i ment

sampl es col l ected on November 2 1987 Append i x 7A conta i n s al l

i nd i v i dual anal yt i cal resul ts Al l resul ts are on the basi s of dry

we i ghts and gra i n s i ze i n format i on i s presented i n ph i un i ts ( the

negat i ve l og base 2 of the part i cl e d i ameter i n mi l l i meters )

Measurements of oxidat i on -reduct i on potent i al ( ORP) were corrected to a

standard hydrogen el ectrode and appear i n mi l l i vol t s

Sed iments across the study s i te were remarkabl e for the

heterogenei ty between stat i on s and to onl y a sl i ght1y l esser degree

between the repl i cates at a s 1 ngl e stat i on I n phys i cal appearance

i nd i v i dual sampl es ranged from a dark organ i c and sl i ght ly gel at i nous

con s i stency ( Stat i on 1 2 ) to a grey fi ne textured cl ay s i zed materi al

(Stat i on 2 ) A shel l hash was al so observed in a d i screte l ayer bel ow 15

cm at Stat i on 1 6 Not al l stat i on s or even al l repl i cates at a stat i on

conta i ned v i s i bl e hori zons Root fragment s were present i n many core

sect i on s typi cal l y above 5 cm The detri tal l ayer of unconsol i dated

decompos i ng but recogn i zab1 e vegetat i on fragments was general l y 1 ess

than 2 cm t h i c k and was absent approximately 50 of the t i me The

predomi n ant materi al at the s i t e coul d be descri bed as a fi ne textured

dark grey or brown sand s i zed fracti on Tabl e 7 2 l i sts the cores and

qual i tat i ve fiel d notes descri bi ng them

Intra- stat i on vari at i on i s al so apparent i n the ORP data large

standard dev i at i ons make the detect i on of d i fferences between stat i ons

d i ffi cul t because a d i fference between means of over 200 mv i s requ i red

before stat i ons cou l d be con s i dered to be s i gn i fi cant l y d i fferent at any

one dept h Cons ideri ng the s i te as a whol e average potent i al s at 2 5

and 1 5 cm were 1 22 95 and 83 mv respect i vel y Sul fi des were present i n

7 - 3

some sampl es ( qual i tat i ve determi nat i on ) predomi nant l y those wi th

v i s i bl e vegetat i on fragments

Combi ned resul ts from the study s i te i nd i cated sed iments conta i ned

approximate l y 4 fi ne sand ( 0 1 25 to 0 25 mm part i cl e s i ze d i ameter) and

20 very fi ne sand ( 0 0625 to 0 125 mm di ameter) by we i ght Sampl es

averaged s l i ghtly over 3 s i l t-cl ay content ( l ess than 0 0625 mm

d i ameter) wi th Stat i ons 2 1 5 and 1 2 havi ng more than 10 s i l t -c l ay

Percent organ i c content (determi ned by i gn i t i on ) was typi cal l y l ow

averag i ng 0 7 wi th most repl i cates between 0 3 and 1 0 Stat i ons 2

1 2 1 3 1 5 and 1 6 had more than 1 organ i c content and Stat i on 1 3 had

1 6 organ i c content

Al most 6 of the sed iment was i n granul es ( l arger than 2mm) Mean

and medi an part i cl e s i ze expressed i n phi un i ts were 2 28 and 2 3 5

respect i ve l y As a whol e sampl es were moderatel y t o poorly sorted

( st andard dev i ati ons were h i gh ) and sort i ng coeffi c i ents were between

0 70 and 2 00 In compl ement measures of kurtosi s ( the degree of spread

i n the t ai l s of i nd i v i dual frequency di str i but i on s ) averaged 1 27 Most

i nd i v i du al sampl es ranged between 1 00 and 1 40 wh i ch i s normal to

1 eptokurt i c Di stri but i ons contai ned a sl i ght excess of fi ne materi al and

an average skewness coeffi c i ent of -0 03 I nd i vidual skewness val ues

were predomi nantl y between -0 10 to 0 10 ph i Percent mo i sture averaged

approxi mately 25 and was s l i ght ly h igher at those stat i ons wi th hi gher

percent organ i c content ( Stat ion 12 and 13 contai ned 34 and 30 moi sture

respect i vely)

Total phosphorus content of the sed iments was not excess i ve and

averaged 0 08 mgg across the study s i te Analyses of vari ance detected

no s i gn i fi cant d i fferences between stat i ons for total phosphorus content

e i t her by stat i ons or by treatments Vari abi l i ty between stat i on

repl i cates requi red stat i on means to d i ffer by over 0 07 mgg before

d i fferences were s i g n i fi cant The hi ghest stat i on means were sl ight1 y

greater than 0 1 mgg at Stat i ons 1 1 2 and 13 wh i l e at Stat i ons 8 and 9

concentrati ons were both l ess than 0 06 mgg

Total Kjel dah1 n i trogen al so di spl ayed the same heterogenei ty as

other sed iment parameters The s i te average of 0 27 mgg compares

unfavorabl y wi th the 0 45 mgg requi red for s i gn i fi cant stati on to

7-4

stat i on d i fferences Desp i te th i s several stat i ons d i d exh i bi t

d i fferences Stat i ons 1 2 and 1 3 be i ng s i gni fi cantly h i gher than many

others wi th 0 66 and 0 64 mgg respect ivel y (These two stat i ons were

the same two contai n i ng the h i ghest percentages of organ i cs ) Stat i ons

8 9 10 and 11 al l had concentrat i ons l ess than 0 1 5 mgg al though no

d i fferences were attri butabl e to harvest i mpacts

Potas si um content averaged 0 49 mgg across the s i te wi th Stat i on

1 3 be i ng noteworthy for l evel s of 1 28 mgg Val ues be l ow 0 4 mgg were

recorded at Stati ons 2 3 1 1 and 16 Only Stat i on 13 was s i gn i fi cantly

d i fferent and from al l rema i n i ng stat i ons To be s i gn i fi can t stat i ons

means needed to d i ffer by 0 35 mgg or greater due to the wi th i n stat i on

vari abi l i ty

N i trate -n i tri te -n i trogen content of the sed iments was ch i efl y

remarkabl e for the extremely l ow l evel s The average contri but i on t o the

total n i trogen profi l e was l ess than 0 4 and the hi ghest concentrat i on

observed at Stat i on 8 was onl y 0 001 mgg or about 1 of the total

Stat i on 8 was s i gn i fi cant l y d i fferent from 2 7 and 1 0 but no

d i fferences attri butabl e to treatment were apparent

Rat i os of sed i ment total n i trogen to total phosphorous (TN TP)

were cal cul ated on a we i ght to we ight bas i s and stat i on means are

presented i n Tabl e 7 3 Stat i on means ranged from 1 7 to 6 1 ( s i te

average of 3 1 ) i n compari son to water col umn TN TP rat i os of

approxi matel y 17 (Sect i on I V WATER QUALITY IMPACTS ) over the course of

the study and vegetat i on rat i os (Sect i on I I I BIOMASS ) of approxi matel y

1 1 Those stati ons wi th the hi gher percentages of organ i cs al so recorded

h i gher TN TP rat i os The i mpl i cat i on i s that n i trogen i s preferent i al ly

mobi l i zed from the sed iments ei ther by preferent i al uptake of the

i norgan i c n i trogen decompos i t i on products or by the more refractory

nature of phosphorous Th i s i s i n compl ement to the n i trogen - l imi tat i on

apparent i n the water col umn at the study s i te

VI I D QUALITY ASSURANCE

Tabl e 7 4 deta i l s the prec l s l on and accuracy resul ts obtai ned

duri ng the anal ys i s of sed i ment from Lake Okeechobee Al l data sets were

7 - 5

generated wi th suffi c i ent numbers of dupl i cates and sp i ke recoveri es

wi th i n the target l i mits spec i fi ed

VI I E CONCLUSIONS AND RECOMMENDATIONS

Sed iments i n the study area were extremely heterogeneous both

between and wi th i n stat i ons In phys i cal appearance these ranged from a

fi ne-gra i ned grey cl ay to a gel at i nous organ i c materi al The overl yi ng

detr i tal l ayer ( not i ncl uded i n chemi cal analyse s ) was typ i ca l l y l ess

than 2 cm th i ck i f present As a resu l t of wi th i n stati on vari at i on few

s t at i on - to - s t at i on d i fferences were judged to be stat i sti cal l y

s i gn i fi cant

Ni trogen phosphorous and organ i c contents were l ow overal l and

fi ne to very fi ne sands were the predomi nant sedi ments s i zes

Phosphorous content averaged 0 08 mgg (dry wei ght ) and n i trogen content

averaged 0 27 mgg N i trate-n i tri te content of the sed i ments represented

l ess than 1 of the total present Potass i um content averaged 0 49 mgg

Stat i ons contai n i ng h igher percentages of organ i c s were al so those

el evated for n i trogen content ( Stat i ons 12 and 1 3 ) Sed i ment averages of

total n i trogen phosphorous rat i os were only sl i ghtl y over 3 0 i n contrast

to water col umn TN TP rat i os averag i ng 17 and b i omass TN TP rat i os of 1 1

Th i s wou l d i mp ly that n i trogen i s e i ther ut i l i zed preferent i al l y andor

that phosphorou s i s more refractory As the water qual i ty i mpacts

sect i on of th i s report found the water col umn to be n i trogen-l i mi ted

based on i norgan i c d i ssol ved nutri ent spec i es the assumpt i on i s that the

n i trogen compounds rel eased by decompos i ng organ i c matter i n the

sed i ments are rapi dl y uti l i zed

Because sed iment heterogene i ty prevented detect i on of sed i ment

chemi stry di fferences between harvested and control areas and because

n i trate -n i tri te-n i trogen represented such a smal l fracti on of the total

present recommendati ons i ncl ude a) i ncrease the col l ect i on of sed i ment

cores from three ( 3 ) to fi ve ( 5 ) b) ana1 yzi ng total Kje 1dah1 n i trogen

and total phosphorus on l y on the two add i t i onal cores Thi s i ncrease i n

rep1 i cates per stat i on shoul d permi t detect i on of d i fferences at l ower

concentrat i on s and could be coupl ed wi th vegetat i ve surveys for

7 - 6

i nformati on on regrowth The support for th i s proposed effort coul d be

obta i ned by del et i on of oxidat i on -reduct i on potent i al and n i trateshy

n i tri te - n i trogen determi n at i on s at al l stat i on s

7 - 7

Table 7 1 Sediment dlemisby station means Lake OksectdJee NovElJi)er 1987

Total Nitrate- Median Kjeldahl Nitrite Total Grain emgt emgt emgt Nitrogen NitJt)gen Hlosphorus kJtassium Size silt-

STATIOO (Dgq) (Dgq) (Dgq) (Dgq) ltJisture organics (pU) Clay 2an SaD 15aD

1 0 24 0 0008 0 11 0 59 25 7 0 5 2 72 2 5 - 7 12 41

2 0 16 0 0003 0 06 0 39 22 1 1 1 2 4 5 15 2 124 96 84

3 0 19 0 0006 0 07 0 38 23 9 0 5 1 93 1 6 201 184 115

7 0 23 0 0003 0 09 0 45 20 1 0 6 1 73 2 1 214 215 -145

8 0 11 0 0012 0 05 0 28 22 5 0 3 2 47 1 4 85 28 48

9 0 09 0 0006 0 05 0 42 23 5 0 2 2 58 0 9 104 65 81

10 0 14 0 0003 0 07 0 49 23 2 0 4 2 42 0 6 151 135 181

11 0 11 0 0008 0 05 0 33 22 9 0 3 2 44 0 6 69 38 38

12 0 66 0 0007 0 12 0 47 34 0 1 2 2 46 5 9 85 90 110

13 0 64 0 0008 0 11 1 28 30 6 1 6 3 01 3 5 110 112 8

15 0 25 0 0005 0 10 0 44 24 8 1 0 1 76 7 1 116 51 49

16 0 42 0 0008 0 07 0 35 26 6 0 8 2 25 2 3 209 112 92

Table 7 2

STATION

1

2

3

7

8

9

10

11

12

13

15

16

Sediment core descriptions lake Okeecbdlee Naveniler 1987

REPLICATE

1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J

CDRE DESCRIPIIONS

lBrk in oolor m horizaS t UI1CXlnSOlidated lBrk in oolor m horizaS t UI1CXlnSOlidated ptrk very urplOSOlidated gray sani below 7 gn lBrk in oolor gray clay below 15 5 an roots tubers lBrk in oolor gray clay below 12 an roots tubers [)ark in oolor gray clay below 12 an roots tubers bull

lBrk in oolor m visible horizons lBrk in oolor 5 an horizal roots tubers ptrk in oolor 5 an horizCl1 roots tubers bull lBrk IIDre sani below 6 an lBrk DDre sand below 6 an [)ark JrPre sand below 6 an bull

lBrk brown sand darker in oolor below 5 an lBrk brown sani horizal at 3 an [)ark brown sani horizon at 3 an bull lBrk brown sand gray sand below 6 an roots lBrk brown sand gray sam below 6 an roots ptrk brown sam gray sanl below 6 en roots bull

lBrk sand light colored sam below 7 an fBil roots

lBrk sand light colored sand below 7 an fBil roots [)ark sani light oolored sam below 7 an fBil roots bull

lBrk sediment lighter color below 3 an roots

lBrk sediment lighter oolor below 3 an roots

[)ark sedilrent lighter color below 3 an roots bull Very UI1CXlIIlSOlidated dark sediment gelatinous medium sand below 6 an Very UI1CXlIIlSOlidated dark sec1iment gelatirxlus neiium sand below 6 an Very urpJlSOlidated dark sec1iment gelatinous medium sani below 6 an bull lBrk sediment horizon at 10 an lBrk sediment horizon at 2 an arrl 10 en

Icxsely packed no horizons bull Ioosely packed no horizons lBrk sediment sand horizal 5-10 an gray clay below 10 an ptrk sediITent sand horizon below 5 an gray Clay below 15 an bull Dllk sand lighter sarrl below 8 an roots

No horizons Dirk sarrl lighter sarrl below 5 an shell hash below 15 an roots bull

Tabl e 7 3

Stat i on

1

2

3

7

8

9

10

1 1

1 2

13

15

16

Sed i ment total n i trogen total phosphorus rat i o s Lake Okeechobee November 2 1987

TN TP

I SO

2 4 1 0

2 6 0 7

3 0 1 2

2 4 0 7

2 0 1 5

1 7 0 5

2 0 0 8

2 2 0 5

5 3 1 6

6 1 3 9

3 1 2 2

6 0 1 4

Table 7 4 sediJnent analyses quality assurarxe targets am results Lake Okeecildlee

Precisian Aauracy Precision Aauracy PARAMErER (x RSO SO) (x RSO SO) (n 2 RSO SO) (n 5( RSO SO)

Total Kjeldahl Nitrogen 8 12 100 9 9 9 8 7 1 6 103 9 5 7

Total IbosJtlOros 7 8 104 12 6 9 3 4 3 6 100 0 5 4

Rgttassium 7 5 100 9 5 5 1 4 8 5 88 1 6 3

Percent loklisture 2 1 6 2 0 1 5

Mean Grain Size 5 3 6 5 6 7 1

Percent Organics 5 3 5 1 7

Percent Siltltlay (pipette analysis) 6 15 0 2 9

10 H A R V E S T I N G T R A N S E C T S

1=== 1 E X P E R I M E N T A L T R A N S E C T S

A P P R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

1

D r n 1 a l e i I U I

lii I

11 middot 5 I I I I

- 1 3

I I r= I

- -- 1 6

N O R T H L A K E

S H O A L

gt- deg 0 zl w =gt w 0 1 III 0 0 ClJ I W 0 o LIJ laquo W J I yen

() 0

1CAl( J bullbull

_ bull Jr-= - _ _ _w _ bull bull -_ bull bull -- u middot _ bull w _ _ raquo -- -

F i gu re 7 1 Sed iment c hemi s try s ta t i o n l ocati o ns November 2 19 87

______ p v C Handle

____ Handle bolt

Valve release

_J4-______ Flapper valve

F i gu re 7 2 Sedi men t cori ng dev i ce

_---- O5mm mesh

--__ -Epoxy sealer

1Jt--______ 75 em aluminum pipe

V I I I BENTH I C FAUNA IMPACTS

VI I I A INTRODUCTION

Benth ic macrofauna ( an i mal s reta i ned on a O Snvn s i eve) can be

separated i nto two bas ic components 1 ) epi fauna con s i st i ng of the

organ i sms l i v i ng on the surface of the substratum and the surfaces of the

macrophytes and detri t al materi al l y i ng on or attached to the substratum

and 2 ) i n fauna con s i st i ng of the organ i sms l i v i ng wi th i n the confi nes of

the substratum The epi fauna of freshwater systems pr i mari ly cons i sts of

mot i l e and sess i l e i n sect s (predomi nantly l arvae) crust aceans and

ga stropod s Ot her groups such as Pl atyhel mi nthes ( fl atworms )

Coel enterata ( hydro i d s ) Pori fera ( sponges ) and H i rud i nea ( l eaches) may

al so be present al though i n fewer numbers The i n fauna are general l y

domi nated by ol i gochaetes i n sect l arvae b i val ve s and cru staceans

Spec i es composi t i on of the benth ic communi ty i s dependent on substrate

type presence or absence of macrophyte s l evel of detri tus and organ i cs

and water qual i ty

Wh i l e there i s l i ttl e i n format i on concern i ng d i rect effects of

phosphoru s n i trates and n i tr i tes on benth i c organ i sms gross organ i c

pol l ut i on ( eutroph i cat i on ) i mpoveri shes the l i ttoral fauna of l akes

Spec i e s of Chi ronomi dae Psychod i dae Cul i c idae and Ol i gochaeta often

predom i n ate under such cond i t i on s whereas spec i es of Tri choptera

Ephemero pte a and other groups typ i cal of unpol l uted cond i ti ons are

usual l y absent ( Resh and Rosenberg 1984 ) The aquat i c vegetat i on i n

normal unpol l uted l akes i s an important source of pri mary product i v i ty

and habi tat for aquat ic i n sects and other i nvertebrates

Benth i c fauna pl ay an i mportant rol e i n the normal breakdown of

detri tal materi al s suppl i ed from both terrestri al and aquat i c sources

I n turn they prov ide an abundant and d i vers i fi ed source of prey i tems

for secondary and terti ary consumer organ i sms such as fi sh frog s

turtl e s crayfi sh etc many o f wh i ch are commerci al l y i mportant to man

Excess i ve amounts of detri tu s as from aquat i c weeds s i gn i fi cantly al ter

the normal benth ic fauna i n favor of spec i es tol erant of l ow l eve l s of

d i s sol ved oxygen h i gh l evel s of fi ne part i cul ates and el evated organ i c

8- 1

compos i t i on The benth i c fauna of Lake Okeechobee general l y exh i bi t l ow

d i vers i ty the domi nant organi sms be i ng ol i gochaetes i nsect l arvae

amph i pods and the pel ecypod Corbicyl a (Dav i s and Marshal l 1975) It i s

expected that both short and l ong term al terat i ons of the benth ic

epi fauna and i nfauna wi l l contri bute to the eval uati on of the success or

fa i l ure of the experi mental treatments ( e g weed harvest i ng) of thi s

study

Chi ronomi d assembl ages have been found to be useful i nd i c ators of

troph i c cond i t i ons and have been used to cl ass i fy l akes ( Saether 1975

1979 ) Warwi ck ( 1980 ) has ass i gned troph i c i ndex numbers to ch i ronomid

assoc i at i ons These assoc i at i ons have been correl ated wi th mean

concen t r at i o ns of tota l phos phorusmean depth or wi th total

chl orophyl l mean depth i n many North Ameri can and European l akes

(W i derhol m 1979 1980 Saether 1980 ) Some aquat i c ol i gochaete spec i es

are al so known to be i nd i cators of substratum and water qual i ty

( Bri n khurst and Jamieson 197 1 ) Spec i es of Tubi f ic i dae are part i cul arl y

cORlllon i n sed i ments exh i bi t i ng h i gh organ i c content and l ow d i ssol ved

oxygen l evel s

V I II B METHODS

V I I I B 1 Study Locat i onExperi mental Design

The experi mental des i gn for the study of benth i c i mpacts i s based

upon compari son of control versus impacted stat i ons Three control

stat i ons were l ocated adjacent to the experimental transect and study

areas ( F i gure 8 1 ) The control stat i ons are essent i al for separat i ng

spat i al and temporal vari at i ons from experimental i mpacts An earl y MML

reconna i ssance survey i n Apri l 1987 i nd i cated the sed i ments of the study

area were rel at i ve ly homogeneous cons i st i ng of fi ne fl occul ent muddy

sands wi th l arge amounts of detri tal materi al Subsequent deta i l ed

sampl i ng efforts have i nd i c ated greater spat i al vari at i on i n sed i ment

types Di ver observat i on s however i nd i cate that the surface sed i ments

( I - Scm) for al l benth i c stat i ons except 12 are general l y s i mi l ar i n

8- 2

texture and appearance These d i fferences are d i scussed 1 ater i n the

report

Basel i ne Study

On August 24 1987 10 days pri or to the actual cutt i ng of the

experimental transect the benth i c stat i on l ocati ons were confi rmed and

sampl ed for basel i ne cond i t i ons A total of 72 s ampl es were col l ected

for macrobenthos and 48 were processed No Hester-Dendy sampl es were

col l ected at thi s t ime

Post -Operat i onal

On September 18 1987 one day after the experi mental transect was

h arvested the fi rst post -harvest benth i c s ampl i ng took pl ace S i nce

weed harvest i ng was expected to exh i bi t the most pronounced effects on

the benthos shortly after harves t stat i ons wl l l be s ampl ed at compl et i on

( t i me 0 ) then agai n at 2 4 6 1 2 1 8 and 24 weeks post-harvest No

gra i n s i ze or percent organ ics sampl es wi l l be taken at these t i mes The

sampl i ng reg i me and rel at i ve age of the stat i ons for each sampl i ng are

i l l ustrated i n F igure 8 2

Hester-Dendy s ampl ers pos i t i oned i mmed i atel y after harvest were

co 1 1 ected at each samp 1 i ng and fresh ones depl oyed at each subsequent

sampl i ng

A second harvest was conducted i n December 1 987 Two add i t i onal

sampl i ng l ocati ons 7A and lOA were establ i shed between stati ons 7 and 8

and 10 and 1 1 respect i vel y for poss i bl e add i t i onal eval uat i on

VI I I B 2 F i el d Col l ect i ons

An i m portant cons i derat i on for properl y sampl i ng benth i c

commun i t i es i s the type o f s ampl i ng dev i ce used Many types o f devi ces

are currentl y i n use and the i r meri ts and drawbacks have been eval uated

(Hol me and Mc Intyre 1984 Pennak 1953 Thayer et al 1975 Tyl er and

Shackl ey 1978 ) Many stud i es have focused excl u s i vel y on the

effect i veness of certai n s ampl ers or have made s i de by s i de compari sons

of several d i fferent sampl ers (Chri st i e 1975 Paterson and Fernando

8-3

1971 Mi l bri nk and Wi ederhol m 1973 ) Cori ng devi ces are presently

con s i dered the most appropri ate method for shal l ow water sampl i ng be i ng

repeated l y quant i tati ve wi th a h i gh l evel of prec i s i on for a vari ety of

bottom types both vegetated and unvegetated Recent l y a comprehen s i ve

compari son of three d i fferent s i zed benth i c corers i nd i cated that

rel ati vel y smal l d i ameter cores are most effi ci ent in sampl i ng benth i c

macrofauna ( Lewi s and Stoner 1981 ) I n contrast most 1 i ghtwei ght

grabs i ncl ud i ng the pet i te Ponar grab (commonl y used i n Fl ori da

freshwater stud i es ) do not penetrate to a uni form depth i n al l substrate

types and may not operate at al l i n dense vegetat i on Th i s observati on

was confi rmed on Apri l 8 1987 duri ng a fi el d reconnai ssance of Lake

Okeechobee by MML personnel A peti te Ponar grab was found unsu i tabl e to

sampl e most areas of the study s i te

Benth i c i nfauna was col l ected us i ng a PVC cori ng devi ce wh i ch

sampl es an area of 45 4 cm2 bull The devi ce i s a mod i fi cat i on of a s i mi l ar

corer devel oped by Ci ty of Tampa personnel to quant i tat i vel y sampl e the

sed i ments of H i l l sborough Bay ( C i ty of Tampa personal commun i cat i on )

The core i s fi tted wi th a one -way check val ve wh i ch reta i ns the sampl e by

suct i on I t i s attached to the end of a l ength of p i pe and i s depl oyed

from the sampl i ng vessel The sampl i ng dev i ce i s easy to operate and

obtai ns a un i form samp l e s i ze for vari ous sed i ment types to depths of

25 ft

Twel ve repl i cate sampl es were col l ected at each stati on Based

upon past experi ence of the study team i t was fel t that 8 or fewer

repl i cates wou l d adequatel y characteri ze the fauna Budget i ng and

manpower esti mates were based upon 8 repl i cate core sampl es at each

stat i on The four rema i n i ng cores were used for backup and archi val

sampl es

Each core was s i eved throug a 0 5mm mesh s i eve ( 35 U S

stand ard ) wh i ch has proved to be of proper s i ze for quant i tati vel y

sampl i ng benthos ( Re i sh 1959 Bi rkett and Mc Intyre 1971 Lewi s and

Stoner 1981 ) Sampl es were s i eved i n the fi el d the an i ma l s were

narcoti zed w i th a 10 magnes i um sul fate sol ut i on and preserved wi th 1 0

buffered formal i n to wh i ch rose bengal sta i n had been added i n order to

fac i l i tate accuracy of sort i ng Sampl es rema i ned i n 10 formal i n for 48 -

8-4

72 hrs to i nsure proper fixat i on they were then transferred to 70

i sopropyl al cohol for storage pri or to l aboratory proces s i ng

VI I I B 3 Laboratory Methods

In the l aboratory al l organi sms were fi rst rough sorted i nto major

taxonomi c groups ( i e ol i gochaetes i nsects mol l uscs crustace a etc )

by use of a 7 -40X stereozoom d i ssect i ng mi croscope Ident i fi cat i ons to

the l owest practi cal taxonomi c l evel (genus and spec i es i n most cases )

was performed by exper i enced taxonomi sts

Mod i fi ed Hester-Dendy art i fi c i al substrate sampl ers were ut i l i zed

to mon i tor epi faunal col on i zati on pri mari l y the aquat i c i nsect l arvae

Th i s method i s approved as an i nvertebrate col l ect i ng tech n i que by the

U S EPA (Weber 1 973 ) and has been sati sfactori l y used by other

i nvesti gators (Tsu i and Breedl ove 1 978 Beak et al 1 973 Ful l ner

1971 ) Two separate sampl ers per stat i on were l eft i n pos i t i on at m id

depth from one macro i nfaunal sampl ing to the next ( e i ther 2 or 6 weeks )

After retri eval the sampl ers were pl aced i nto a 10 buffered formal i n

sol ut i on i n the fi el d for preservat i on of attached fauna I n the

1 aboratory one of each pai r of sampl ers was taken apart and the fauna

scraped from the pl ates then i dent i fi ed to the l owest pract i cal

taxonomi c l evel The second sampl er was used as a backup andor arch i ve

sampl e

Data Anal yses Impact Asses sment

The assessment of env i ronmental i mpacts on the benthos from

spec i fi c d i sturbances (wi th i n reasonabl e constrai nts of a manageabl e and

cost effect i ve sampl i ng program) poses d i ffi cul t stat i st i ca l probl ems

The assessment of effects of an impact by ANOVA or other proced ures of

i nferen t i al stat i st ics cannot be val i dl y used to test for the i mpact of a

po i nt - source of pol l ut i on or i mpact on spec i fi c areas I t can onl y

demonstrate s i gn i fi cant d i fferences between areas wh i ch may often occur

natural l y Therefore the probl em becomes one of eval uati ng recovery by

compari sons of impacted versus non - i mpacted control s i tes Hurl bert

( 1984 ) descri bes i n deta i l the common p i tfal l s made by i nvest igators

8-5

concern i ng the appl i cat i on of conventi onal parametri c stat i st i cs Most

parametric stat i st ics requ i re randoml y appl i ed treatments to mul t i pl e

s i tes that area al so randoml y d i spersed Because such s i tuat i ons are not

read i l y ava i l abl e for envi ronmental i mpact stud i es i t does not

necessari l y fol l ow that envi ronmental impact cannot be rel i abl y measured

Rather a d i fferent approach i s necessary Al l an Stewart -Oaten et al

( 1986 ) descri bed a rat i onal e for the eval uat i on of env i ronmental i mpact

assessment based upon the magn itude of vari ati on between control and

affected areas before and after impact

For any habi tat there are vari ati ons i n spec i es compos i t i on

faunal d i stri but i on gra i n s i ze d i stri but i ons RPD l ayer methane vo ids

etc even over very smal l d i stances In add i t i on temporal changes can

al ter these parameters i n an unpred i ctabl e manner However the

mag n i t ude of the vari at i on of these parameters about a mean val ue wi l l

often be characteri st i c for a habi tat type Furthermore the magni tude

of the vari ati on i s general l y l ow i n very homogeneous areas The

stat i st i cal object i ves of thi s task are to

1 ) Descri be and measure the vari ous sed iment and benth i c faunal

parameters of the study area

2 ) Obtai n an esti mate of the vari at i on of these parameters at

i nd i v i dual stat i ons about the mean val ue for the study area

3 ) Ident i fi cat i on of i mpacted and control stat i ons ( un i mpacted )

4 ) Eval uate the effect of weed harvest by compari ng the control to

i mpacted stat i ons and measuri ng the vari at i on of the sed i ment and

faunal parameters

Anal yses used for the data from the August and October s ampl i ng

peri ods i ncl udes spec i es ri chness (countsstat i on ) faunal dens i t i es (no

organ i smsm2 ) Shannon -Weaver d i vers i ty H ( Shannon and Weaver 1 963 )

P i el ou s equ i tabi l i ty J ( P i el ou 1975 ) Spec i es s aturat i on curves

(Hol me 1953 Gl eason 1922) wi l l be generated to determi ne the

appropri ate number of sampl es necessary to adequatel y descri be the fauna

of each stat i on Upon compl et i on of the project add i t i onal anal yses

wi l l i ncl ude mul t i vari ate quant i fi cat i on and cl uster anal ys i s (Al l en et

8-6

a1 1977 Bl oom et a1 1980 ) and Mori s i ta s i ndex of faunal s i mi l ar i ty

(Mori s i ta 1 959 )

V I I I C INTERIM RESULTS

YI I I C 1 Faunal Compos i t i on

Two sampl i ng peri od s were analyzed for th i s report the basel i ne

sampl i ng event (August 24 1987 ) and a post- harvest i ng sampl i ng event

(October 16 1987 ) Data for the benth i c core analyses are presented

here i n No Hester-Dendy sampl es were col l ected for August and resul ts

for Hester- Dendy anal ys i s for October wi l l be presented i n subsequent

reports

A total of 59 taxa was col l ected duri ng the two sampl i ng peri ods

compri s i ng seven phyl a Arthropoda Annel i d a Mol l usca Hydrozoa

Endoprocta Pl atyhel mi nt hes and Nematoda Tabl e 8 1 l i sts the taxa

recovered duri ng these sampl i ngs in phyl ogenet i c order and the occurrence

at control or harvested stat i on s

The most spec i es ri ch phyl um was Arthropoda composed primari l y of

the subphyl um Insecta pri nc i pal l y the Ch i ronomidae ( Di ptera) represented

by 1 5 tax a Three add i t i onal fami l i es of l arval d i pterans were al so

e n c o u n t e red each re presented by a s i ng1 e taxa Chaoboridae

Ceratopogon i dae and Tabani dae The orders Hemi ptera Tri choptera and

Col l umbo1 a were al l represented by a s i ng l e taxa respect i vel y Other

than the Di ptera only the Odonata was represented by more than one

taxon

The Crustacea were the second most spec i es r ich cl ass of

Arthropod s represented by 4 orders each with a s i ng l e taxon Ostracod a

I sopod a Amph i pod a and Decapod a

The l east abundant cl ass o f arthropods represented by a s i ng l e

taxon Hydracari na was i nfrequentl y encountered

Anne1 i d a ( represented on l y by 01 i gochaetes ) was the second most

spec i es ri ch assembl age Two fami l i es were encountered i n the study

area Nai d i dae was the most d i verse fami ly w ith n i ne taxa The pri mary

mode of reproduct i on for the spec i es i n th i s fam i l y s asexual

8 -7

consequent ly thei r popul at i on s can be very s porad i c i n occurrence

per i od i cal l y resul t i ng i n very h igh numbers

The second fami l y of ol i gochaetes i n the study area Tubi fi c i dae

was compri sed of only two speci es Au1 0dri 1 us piguet i cou l d be

i dent i fi ed from i mmature specimens however the other spec i es

l1mnodril us hoffmeisteri can only be i dent i fi ed as mature i nd i v i dual s

As a resul t the i mmature worms were separated i nto two groups - - those

s pec i mens wi thout cap i 1 1 i form setae and those wi th cap i 1 1 i form s etae

The fi rst group was probably compri sed enti rel y of i mmature l1mndri 1 us

hoffme i steri A1 though no mature spec i mens of the 1 atter group were

encountered they were probabl y I] odri 1 ys tamo1 eton i

Mol l usca was the thi rd most d i verse phyl um represented by s i x

spec i es o f g astropods Al though many of the s ampl es contai ned h i gh

numbers of dead shel l s both bi val ves and gastropods l i ve mol l uscs were

i nfrequentl y encountered

Four mi scel l aneous phyl a were occas i onal l y col l ected Cn i d ari a

and Endoprocta contai ned the col on i al organi sms Cordy1 0ohora 1 acustri s

and Urnatel l a graci l i s wh i ch coul d not be quant i fi ed s o onl y the i r

presence was noted The Phy1 um Nematoda was frequently present i n the

s ampl es and was occas i onal l y the domi nant taxa However because of

the i r smal l s i ze they were general l y cons i dered as me i ofauna and wi l l

not be i ncl uded i n th i s d i scuss i on

VI I I C 2 Compari son of Stat ion Commun i t i es

Three pai rs of stat i ons were s ampl ed The fi rst pa i r (Stat i ons 7

and 10 ) was cl osest to shore Stat i ons 9 and 12 were farthest from s hore

and Stat i ons 8 and 1 1 were i ntermed i ate Each pai r o f stat i ons i ncl uded

a control ( unharvested Stat i ons 10 1 1 1 2 ) and an experimental

( h arvested Stat i ons 7 8 9 ) l ocat i on Tabl e 8 2 summari zes the

commun i ty parameters of each stat i on for both sampl i ng events I ndex

val ues were not computed for stat i ons hav i ng f i ve or fewer taxa

Tabl e 8 3 presents data for each stat i on wi th total counts mean

per repl i cate and i nd i v i dual and cumul ati ve percentage compos i t i on

8-8

Control Transect

Duri ng both samp1 i ng per iods the greatest number of taxa and

h i g hest dens i t i es on the control transect were found at the i nshore

stat i on ( 10 ) and decreased with d i stance from shore At Stat i on 10 the

number of taxa i ncreased sl i ght l y from August to October ( from 18 to 2 1 )

01 i gochaeta was the domi nant taxa fol l owed by Ch i ronomi dae However

the basel i ne sampl i ng peri od exh ib i ted a sl ightly h i g her faunal dens i ty

than the postharvesti ng

The i ntermedi ate stat i on ( 1 1 ) had the second h i ghest number of

taxa and faunal dens i t i es duri ng both sampl i ng peri ods Unl i ke Stat i on

1 0 however both dens i t i es and speci es ri chness i ncreased substant i al l y

from August to October ( from 13 organi sms represented by 4 taxa to 44

organ i sms represented by 1 2 taxa ) 01 igochaetes predomi nated i n both

August and October

The farthest offshore control l ocat i on ( Stat i on 1 2 ) cons i stent l y

exh i b i ted both the l owest dens i t ies and number o f taxa i n the study area

Onl y two taxa were encountered duri ng each s ampl i ng peri od one i nsect

1 arva and one ol i gochaete i n August and 7 ostracods ( Crustacea ) and 6

gastropods i n October However the hi ghest dens i ty of the gastropod

P 1 anorbel l a duryi was found at thi s l ocat i on As d i scussed i n the

Commun i ty Metabol i sm sect i on Stat i on 12 exh i bi ted d i fferences in other

parameters due to a fi ne f1 0ccu1 ant sed i ment

Exper i mental Transect

The experi mental stati ons exh i b i ted the same trend as the control

transect a tendency toward decreased faunal dens i ty and speci es ri chness

with i ncreased d i stance from shore

As i n i ts counterpart ( Control Stat i on 10 ) Stat i on 7 had the

h i ghest number of taxa on i ts respect ive transect duri ng both sampl i ng

events The number of taxa i ncreased substanti a l l y at thi s l ocat i on from

10 i n August to 43 i n October In October th i s stat i on had the h i g hest

number of taxa and dens i ty of any stat i on at any t i me 01 i gochaetes

predomi nated at Stat i on 7 dur i ng both sampl i ng peri ods However wh i l e

c h i ronom ids were absent i n August they represented the second most

abundant and d i verse macro i nvertebrates group i n October In August the

8- 9

spec i es ri chness at control Stat i on 10 was greater ( 18 t axa) than at the

experi mental stat i on 7 ( 10 taxa ) The l ack of i nsect l arvae duri ng

August was respons i bl e for the l ow number of taxa For October however

there were 43 taxa col l ected at Stat i on 7 and only 2 1 at Stat i on 10

The i ntermed i ate stat i on on the experi mental transect ( Stat i on 8 )

refl ected the same trends as i ts correspond i ng control stat i on (Stat i on

1 1 ) the second h i ghest dens i ty and number of taxa on i ts transect duri ng

respect i ve sampl i ng peri ods As at Stat i on 1 1 few taxa were col l ected

i n August wi th a total absence of ch i ronomi d ( i nsect ) l arvae However

i n October the dens i ty and number of taxa i ncreased substant i al l y ( from 3

to 1 9 respect i vely ) pri mari l y d ue to the appearance of chi ronomid

l arvae and an i ncrease in the Nai d i dae (Ol i gochaeta ) popu l at i on I n

August Stati ons 8 and 1 1 had a comparabl e commun i ty structure Because

of the i ncreased number of chi ronomids and ol i gochaetes i n October the

faunal dens i ty at Stat i on 8 was much greater than at Stat i on 1 1 ( 24 1 vs

44 organ i sms )

Stat i on 9 the most offshore l ocat i on cons i stent l y had the l owest

number of taxa on the experi mental transect As wi th the other stati ons

on th i s transect the number of taxa and dens i t i es exh i bi ted a dramat i c

i ncrease from August to October The number of taxa i ncreased from onl y

2 spec i es of ol igochaetes i n August to a commun i ty of 10 taxa domi nated

by ch i ronomids i n October wh i l e th i s stati on s counterpart (Control

Stat i on 12 ) exh i bi ted only a sl i ght change between these samp l i ng events

The sudden occurrence of i nsect l arvae i n October was respons i bl e for the

substant i al i ncrease in faunal den s i ty

V I I I D SUMMARY

1 A total of 59 benth i c macroi nvertebrate taxa was co 1 1 ected

duri ng the basel i ne (August 24 1987 ) and postharvest i ng (October 1 6

1 987 ) s ampl i ng peri ods

2 Ch i ronomi dae ( I nsecta Di ptera) and Ol i gochaeta (Anne l i da )

were the most abundant and d i verse taxa throughout the study area

3 Gastropoda Crustacea and mi scel l aneous I nsecta general l y

compri sed the rema i n i ng taxa

8 - 10

4 Both the control and exper imental transects exh i b i ted a

decrease i n faunal dens i ty and spec i es ri chness wi th i ncreas i ng d i stance

from shore

5 The number of s pec i es and faunal dens i ty general l y i ncreased

at each stat i on between the basel i ne and postharvesti ng sampl i ng per i ods

6 Correspond i ng control and experi mental stat i ons exhi bi ted

s i mi l ar faunal dens i t i es and spec i es ri chness duri ng the basel i ne survey

7 Faunal dens i t i es and s pec i es ri chness were substant i al l y

greater a t the exper i mental stat i ons than a t the i r control counterpart

duri ng the postharvest i ng survey

8 An i ncrease i n the abundance and ri chness of the ch i ronomid

and ol i gochaete commun i t i es was pri mari l y respons i bl e for the changes i n

communi ty structure and abundance between the basel i ne and postharvest i ng

sampl i ng s

8- 1 1

LITERATURE C ITED

Al l en T F H S M Bartel l and J F Koonce 1977 Mul t i p l e stabl e configurat i ons i n ord i nati on of phytopl ankton commun i ty change rates Ecol ogy 58 1 076- 1084

Beak T W T C Gri ffi ng and A G Appl eby 1 973 Use of art i fi c i al substrate sampl ers to assess water pol l ut i on In B i ol og i cal methods for the assessment of water qual i ty Am Soc Test Mat ASTM STP 528 227 -241

B i rkett L and A D Mc Intyre 1971 Treatment and sort i ng of sampl es p 1 56- 168 In N A Hol me and A D Mc Intyre (eds ) Methods for the study of mari ne benthos IBP Handbook No 16 Bl ackwel l Sci ent i fi c Oxford

Bl oom S A S L Santos and J G F i el d 1977 A package of computer programs for benth i c commun i ty anal yses Bul l Mar Sci 27 ( 3 ) 577-580

Bri nkhurst R O and B G H Jami eson 1971 Aquat i c 0 1 i gochaetes of the worl d Uni v of Toronto Press 860 p

Chri st i e N D 1975 Rel ati onsh i p between sed i ment texture speci es ri chness and vol ume of sed i ment sampl ed by a grab Mar Bi ol 30 89-96

Dav i s F E and M L Marshal l 1975 Chemi cal and b i ol og i cal i nvest i gat i ons of Lake Okeechobee January 1973 -June 1974 Interi m Rept Tech Publ 75 - 1 Resource Pl an Dept So Fl a Water Mgmt D i stri ct West Pal m Beach FL

Ful l ner R W 1971 A compari son of macroi nvertebrates col l ected by basket and mod i fi ed mul t i pl e- pl ate sampl ers J Water Pol l Ctrl Fed 43 494 -499

Gl eason H A 1922 On the rel at i on between spec i es and area Ecol ogy 3 1 58- 162

Ho l me N A 1953 The bi omass of the bottom fauna i n the Engl i sh Channel off P l ymouth J Mar Bi ol Assoc ( U Kraquo 32 1 -49

Hol me N A and A D Mc Intyre 1984 Method s for the study of mar i ne benthos I BP Handbook 1 6 Bl ackwel l Sci Publ Oxford 387 p

Hurl bert S H 1 984 Pseudorepl i cat i on and the des i gn of ecol og i cal fi el d experi ments Ecol Monographs 54 187 - 2 1 1

Lewi s F G and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 1 6 - 1 24

Mi l br n k G and T Wi ederhol m 1 973 Sampl i ng effi c i ency of four types of mud bottom sampl ers Oi kos 24 479-4

8- 12

Mor i s i ta M 1959 Measuri ng of i nterspec i fi c assoc i at i on and s i mi l ari ty between commun i t i es Mem Fac Sci Kyushu Un i v Ser e I ( Bi ol ) 3 ( 1 ) 65-80

Paterson G C and C H Fernando 1971 A compari son o f a s i mpl e corer and an Eckman grab for sampl i ng shal l ow-water benthos J F i sh Res Bd Can 28 365-368

Penna k R W 1953 Freshwater 1 nvertebrates o f the Un i ted States Ronal d Press Co NY p 497 -664

P i el ou E C 1975 Ecol og i cal D i vers i ty W i l ey Intersc 1 ence NY 1 65 p

Re i sh D J 1959 A d i scuss i on o f the i mportance of screen s i ze i n wash i ng quant1 tati ve mar1 ne bottom sampl es Ecol ogy 40 307-309

Resh V H and D M Rosenberg ( eds ) 1 984 The Ecol ogy of Aquat i c Insects Praeger Press 625 p

Saether O A 1980 The 1 n fl uence of eutroph i cati on on deep l ake bent h i c i nvertebrate commun i t i es Prog Water Tech 1 2 161 - 180

Saether O A 1 979 Chi ronom1 d communi t i es as water qual i ty i nd i cators Hol arct i c Ecol 2 65-74

Saether O A 1 975 Nearct 1 c ch 1 ronom ids as i nd i cators of l ake typol ogy Internat i onal e Verei negung fur Theoret i sche and Angewandte L i mno l og i e Verhandl ungen 1 9 3 127-3 133

Shannon C E and W Weaver 1 963 The mathemat i cal theory of communi cat 1 0n s Uni v of I l l Press Urban a 1 1 7 p

Thayer G W R B Wi l l i ams T J Pri ce and D R Col by 1 975 A l arge corer for quant i tat i vel y sampl i ng benthos i n shal l ow water L i mnol Oceanogr 20 ( 3 ) 474-481

Tsu i P T P and B W Breedl ove 1978 Use of the mul t i pl e -p l ate sampl er i n b i ol og i cal mon i tori ng of the aquat i c envi ronment Fl a Sc i 4 1 ( 2 ) 1 1 0 - 1 1 6

Tyl er P and S E Shackl ey 1978 Compari son effi c i ency o f the Day and Smi th-Mc i ntyre grabs Estuar Coast Mar Sci 6 439-445

Warwi c k W F 1980 Pasqua Lake southeastern Saskatchewan a prel i mi nary assessment of troph i c status and contami nati on based on the Ch i ronomi dae (D i ptera) p 255-267 In D A Murray ( ed ) Ch i ronom i dae Ecol ogy Systemat i cs Cytol ogy and Phys i ol ogy Oxford Press Pergamon 3 54 p

8- 13

J

t middot I I I r I 1 I I 5 gt-1 deg

I- () j W =gt W Or eo

c=J () deg

H A R V E S T I N G T RA N S E C T S W () ffiITTIill E X P E R IM E N T A L T R A N S E C T S

c[ w laquo W

A P P R O X I MA T E w E E D L I N E J I lt1 1 deg

9

LAKE OKEECHOBEE

N O R T H LAK E S H O A L

F i g u re 8 1 Study s i te s howi ng l ocat i o n of ben thi c samp l i ng s tati o n s

C O NT ROL S T AT I O N S

bull

bull

bull

E X l IM r A L H A R V E S T T R A N S E C T D A Y S

1 4 R E L A T IV E A G F OF S T A T I O N S ( D A Y S P O S T H A R V E ST) -

1 3 ) ) gt- gt gt gt

bull 1 2 1 3 2 6 4 0 5 4 9 6 1 3 8 1 8 0 -

1 I I-1 0

I-9

r- )II-711 ) ) ) 8 8 2 1 3 5 4 9 9 1 1 3 3 1 7 5 bull I-7

I-6

I-5

I-4 ) ) gt- gt- gt- gt-I-3 4 1 7 3 1 4 5 8 7 1 2 9 1 7 1 bull -2

l-I r I I I I I I

2 4 6 1 2 1 8 2 4

P O S T H A R V E S T S A M P L ING

-J (1) - S A M P L I N G T I M E S C A L E ( W E E K S ) w W laquo (I) gt 0 laquo q-en I -

Figure 8-2 S chem a t i c of weed h a rvest tra nsect a n d a s s o c i a t e d b e n t h i c s a mp l i ng s t a t i o n s E i g ht s a mpl i n g e v e n t s a re I nd i c a t e d a s v e r t i c a l l i n e s on h o r i zont a l axi s R e l a t i v e p os t h a rve s t a g e of e a c h s t a t i o n Is pre s e n t e d bull

bull Ind i c a t e s H e s t e r - De nd y r e t r i e v a l S a mp l e rs woul d be p l a c e d I n f i e l d d ur ing t h e p r i o r s a mp l i ng eve n t

Table 8 1 Rlylcqenetic species listixg for all taxa encamtered in oollecticns for AlqUst ani october 1987 frail lake Okeedlclbee Hydrilla remval demonstratioo project site

SPEXIIS

0fIJl1RIA HYIRgtZ01

CDrdylgtpra lacustris Hydra sp

PIATYHEIMINIHES lURBEIlARIA

Dlgesia tigrina NEMAIODA

Nematoda ampW

llNOOIRXTA Urnatella gracilis

K)U1JSCA GAS1K)JOIl

AImioola ampW

Ancylidae ampW

Gyraulus parvus Hydrcbiidae sp A Laevipex fusca Planorbella dutyi

ANNELIDe OLIGOCHAErA NAIDID1ampE

Allonais pectinata Bratislavia unidentata nero diqitata nero furcata nero nivea Naididae sp elinruis Pristina leidyi Pristina lorgiseta Pristina prdxlscidea Stevenoniana trivanlrana

lUBIFICID1ampE lJnietennined sp (wo) Urrletennined sp (with) Aulodrilus piqueti Limncxlrilus hoffmeisteri

X

X

X X

X X X

X

X X X X

X

X

X X X X

X

X X X X

x

X

X

X X

X X X

X

X X

X

X X

x X

X

X

X

X X X X

X

X X X X

X

X X X

X

X X

Table 8 1 oontirrued

ARllroRgtDA ARAaINIIl Hydracarina sp CKJSTACFA

0SIRACX)(li ostracxXJa sp

ISOIODt cyathura polita

AMRIIIODt Hyalella azteca

Palaeoonetes paludosus Palaemonidae sp

COIUMOOIA

Q)lleniJola sp OIXNATA

IJhellulidae Bradwmesia sp

Libellulidae sp ltoenagrianidae COenagrianidae sp

HEHIIIlmA Q)rixidae

Q)rixidae sp TridlocXgtrixa sp

DIPlERA Olaoboridae

Olaeborus pmctipennis Tanypcldinae

Tanypcldinae spp CoelotanyJus spp

Tanmlif 5R) ORIH)CAI)IINAE

Orthocladiinae spp CriCXtotJs spp Thienemanniella spp

Olironaninae sp

x

x x

x

x x

x x

x

x x x

x

x x

x x x

x x x

x

x x x

x

x

Table 8 1 continued

SPECIES

CllilOllCDlS sp Dicroterrlipes sp nr Einfeldia spa Paradlironcrrus sp Iblypedilum spa

TANYlARSINAE Cladgtanytarsus sp Nimbocera spa Rheotanytarsus sp Tanytarsus spa

CERAIDKXnUDtE CeratqxxJonidae sp

TABANIDAE Tabanidae spa

lRIaDPlERA IEPIOCERIDAE

Peoetis sw PlERA

caenis sp

x

X

X

x

X

X X

X

x X X X X

X X X X

X

X

X

Table 8 2 SUDIDary of OmIImity Parameters for bIo sauplinJ events at thJee CXlIltrol statioos (7 8 9) anl thJee harvested statialS (10 11 U) for the stuly area

lOIAL Nl OF em SffANNCN sm TAXA IND rrJ2 -wEAVER SIMPSCN GlNI

08-24-87 7 10 147 4047 l o ll 0 48 1 80 504 496 08-24-87 8 3 5 138 NA NA NA NA NA 08-24-87 9 2 6 165 NA NA NA NA NA 08-24-87 10 18 196 5396 1 97 0 68 3 22 204 796 08-24-87 11 5 14 385 NA NA NA NA NA 08-24-87 U 2 2 55 NA NA NA NA NA

10-16-87 7 44 5U 14097 2 89 0 76 6 89 087 913 10-16-87 8 19 241 6635 129 0 44 3 28 433 567 10-16-87 9 10 139 3827 1 11 0 48 1 82 537 463 10-16-87 10 22 199 5479 2 02 0 65 3 97 247 753 10-16-87 11 U 44 U11 2 00 0 80 2 91 170 830 10-16-87 U 2 13 358 NA NA NA NA NA

Ta 8 -- Ber d fOI h i iOl

- r t - anl - cbE - 987 lplj eve

station 7 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 9 12 7 14 15 13 17 15 102 U 75 69 39 69 39 LIMNOpoundIUI1JS IDFFMEISTERI 2 1 6 1 3 4 1 3 21 2 63 14 29 8367 AIJID[JUI1JS PIQJErI 1 0 3 0 2 0 1 1 8 1 00 544 89 U DER) DIGITATA 1 1 2 0 0 0 2 0 6 75 4 08 93 20 lUBIFICIDAE Dff 0 0 0 0 0 0 1 3 4 50 2 72 95 92 COlUMOOIA SP 0 0 0 0 0 0 0 2 2 25 1 36 97 28 PIANORBELIA IlJRYI 0 0 1 0 0 0 0 0 1 13 68 97 96 URNATEI1A GRACILIS 0 0 0 0 0 0 0 1 1 13 68 98 64 DER) FURCATA 0 0 1 0 0 0 0 0 1 13 68 99 32 BRATSIAVIA UNIIDllATA 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 13 14 20 15 20 17 22 26 147

Station 8 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHAOBRJS RlNClIPEHlIS 0 1 0 0 1 0 0 0 2 25 4000 4000 DERO DIGITATA 0 0 0 0 0 2 0 0 2 25 66 67 66 67 AItLIIAIS 0 0 0 0 0 0 0 1 1 13 100 00 100 00

Totals -gt 0 1 0 0 1 2 0 1 5

Station 9 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 0 0 0 4 0 0 1 0 5 63 83 33 83 33 PRISTINA IEIDY 0 0 1 0 0 0 0 0 1 13 16 67 100 00

Totals -gt 0 0 1 4 0 0 1 0 6

Ta- - 8 -ont L_ - 3d

station 10 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

NEHAlOIlZ SP 0 71 0 0 1 0 3 0 75 9 38 38 27 3827 lUBIFICIDaE IMM Wrur 3 9 5 0 1 6 1 7 32 4 00 16 33 54 59 DERO DIGITATA 1 6 3 2 3 2 3 4 24 3 00 12 24 6684 LlMN()[JUllJS IDFFMEISTERI 2 8 4 2 0 0 0 6 22 2 75 11 22 78 06 AUIDtRIllJS PI(JJErI 0 3 2 2 0 0 3 2 12 1 50 6 12 84 18 BRATSIAVIA UNIDENrATA 0 3 0 0 5 1 0 0 9 1 13 4 59 8878 SP 0 0 4 0 0 0 1 1 6 75 3 06 91 84 IAEVAmX FUSWS 0 2 0 0 2 0 0 0 4 50 2 04 93 88 PIANORBEUA WRY 0 0 0 0 0 2 0 0 2 25 102 94 90 NAIDIDtE SP 0 0 0 0 0 0 2 0 2 25 1 02 95 92 LIBELWLIDtE Spp 0 1 0 0 0 0 0 0 1 13 51 96 43 BRAltlIYMESIA SP 0 0 1 0 0 0 0 0 1 13 51 96 94 OOENAGRIOOIDAE SP 0 0 0 1 0 0 0 0 1 13 51 97 45 URNATELIA GRACILIS 0 0 0 0 1 0 0 0 1 13 51 97 96 lUBIFICIDaE MM 0 1 0 0 0 0 0 0 1 13 51 9847 DERO FURCATA 0 1 0 0 0 0 0 0 1 13 51 98 98 OOEWlANYlUS SP 0 0 1 0 0 0 0 0 1 13 51 99 49 NR EINFEIDIA SP 0 0 0 0 1 0 0 0 1 13 51 100 00

Totals -gt 6 105 20 7 14 11 13 20 196

station 11 Aug 24 1987 Replicate Cllm

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

DERO DIGrrATA 4 3 0 0 0 0 0 0 7 88 50 00 so 00 NEHAIDpoundllIL SP 0 0 0 0 1 0 2 0 3 38 21 43 7143 CHAOooms RJNCrIPmNIS 0 0 0 0 0 1 1 0 2 25 14 29 85 71 BRATISIAVIA UNIDENrATA 0 0 0 0 0 0 1 0 1 13 7 14 92 86 OOEWlANYlUS SP 0 1 0 0 0 0 0 0 1 13 7 14 10000

Totals -gt 4 4 0 0 1 1 4 0 14

station 12 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

OECElIS SP 0 0 1 0 0 0 0 0 1 13 50 00 50 00 AUIDtRIllJS PI(JJErI 0 0 0 0 0 1 0 0 1 13 50 00 100 00

Totals -gt 0 0 1 0 0 1 0 0 2

Ta 8 Dnt d

station 7 oct 16 1987 Replicate OlIn

Taxa 1 2 3 4 5 6 7 8 Total Mean PeI1ent Percent

NAIS ELINGUIS 2 51 22 2 0 13 1 6 97 12 13 18 95 18 95 lUBIFICIDAE IMM Wrur 7 14 17 0 12 4 8 5 67 8 38 13 09 32 03 IJID DIGITATA 12 16 10 12 0 11 1 5 67 8 38 13 09 45 12 oomAOOIlt SP 0 12 6 4 2 2 10 0 36 4 50 7 03 52 15 LIMNOIlUIlJS HlFFMEISTERI 1 5 14 1 1 4 0 0 26 3 25 5 08 57 23 mISTINA IJHISRrA 0 17 1 2 0 3 0 0 23 2 88 4 49 61 72 AMNICOIA SP 2 7 1 1 1 6 0 2 20 2 50 3 91 65 63 CHIRaDIJS SP 3 1 6 2 2 3 1 0 18 2 25 3 52 69 14 JHlmMANNIEI1 SP 0 12 3 0 0 3 0 0 18 2 25 3 52 72 66 BRATISIAVIA tJNIDmlATA 1 2 2 5 1 1 1 5 18 2 25 3 52 76 17 SP 4 0 3 5 3 0 0 2 17 2 13 3 32 79 49 OOLYPEDIIIM SP 3 0 1 4 1 1 0 1 11 1 38 2 15 81 64 mISTINA mgtB6CIDFA 0 5 1 2 0 0 0 3 11 1 38 2 15 83 79 P SP 0 6 4 0 0 0 0 0 10 1 25 1 95 85 74 DICHJIElIDlPES SP 0 6 0 0 0 0 0 0 6 75 1 17 86 91 NIMBXERA SP 0 1 2 1 1 0 0 1 6 75 1 17 88 09 STEllJANSCIUA lRlVANIIWUt 0 0 0 3 0 1 1 1 6 75 1 17 89 26 HYAUEIA AZlEXA 0 1 1 1 0 2 0 0 5 63 98 9023 IrllEA SP 0 1 1 1 0 0 0 1 4 50 78 91 02 NR EINFEIDIA SP 1 0 0 0 0 0 1 2 4 50 78 9180 RHEXJrANYTARSUS SP 0 1 0 1 1 1 0 0 4 50 78 92 58 auroroRJS SP 0 2 1 0 0 1 0 0 4 50 78 93 36 AlJIOIIUIIE PIGJErI 2 0 0 1 0 0 0 1 4 50 78 94 14 lUBIFICIIlfE IMM 0 0 1 1 1 1 0 0 4 50 78 94 92 URNATELIA GRACILIS 1 0 0 0 0 0 1 1 3 38 59 9551 COEIDrANYIUS SP 1 0 0 0 0 0 0 2 3 38 59 96 09 NEMAIODA SP 0 1 0 0 0 0 0 1 2 25 39 96 48 SP 0 0 0 0 1 0 0 1 2 25 39 96 88 ANCYJLI1llE SP 1 0 0 0 0 0 0 0 1 13 20 97 07 HilRgtBIID7E SP A 0 1 0 0 0 0 0 0 1 13 20 97 27 ruESIA TIGRINA 0 0 1 0 0 0 0 0 1 13 20 97 46 PIANORBEIlA IlJRYI 0 0 0 1 0 0 0 0 1 13 2 0 97 66 D7E SP 0 0 0 1 0 0 0 0 1 13 20 97 85 OORDYIDRIgtRA IACDSlRIS 0 0 0 0 0 0 0 1 1 13 20 98 05 OECElIS SP 0 0 0 0 1 0 0 0 1 13 20 98 24 JlU(B)())())RJXA SP 0 0 0 0 0 1 0 0 1 13 20 98 44 BRACHYMESIA SP 0 0 0 0 0 1 0 0 1 13 20 98 63 ltHIRaDfIDIE SP 0 1 0 0 0 0 0 0 1 13 20 98 83 ORIBXlADIlNAE SP 0 1 0 0 0 0 0 0 1 13 20 99 02 TANYRJS SP 0 1 0 0 0 0 0 0 1 13 20 99 22 OIAOBlRJS RJNCr1PlHaS 0 0 1 0 0 0 0 0 1 13 20 99 41

TaO bull 8 - cor Jed

statim 7 oct 16 1987 continued Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHIBHlfiNAE SP (RJPAE) 0 0 0 0 0 0 0 1 1 13 20 99 61 JER) JiURCAI7 0 0 0 1 0 0 0 0 1 13 20 99 80 JER) NIVEA 0 0 1 0 0 0 0 0 1 13 20 100 00

Totals -gt 41 165 100 52 28 59 25 42 512

statim 8 oct 16 1987 Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

0IIl0DU3 SP 4 5 17 48 17 31 19 8 149 18 63 6183 61 83 JER) mGlTAl1 1 3 0 33 4 4 4 4 53 6 63 2199 83 82 SP 0 0 1 8 2 2 3 0 16 2 00 6 64 9046 TANYIUS SP 0 4 0 0 0 0 0 0 4 50 1 66 92 12 NIM8XERA SP 0 0 0 1 0 0 1 1 3 38 1 24 93 36 PIARlRBELIA IlJRYI 0 2 0 0 0 0 0 0 2 25 83 94 19 NAIS ELINGUIS 0 0 0 2 0 0 0 0 2 25 83 95 02 NEWaODA SP 1 0 0 0 0 0 0 0 1 13 41 95 44 ANCYlLtDAE SP 0 1 0 0 0 0 0 0 1 13 41 95 85 GYRAUIIJS PAIME 0 1 0 0 0 0 0 0 1 13 41 96 27 CyenMHlRA lOLITA 0 0 0 1 0 0 0 0 1 13 41 9668 HYAIlEIA AZTErA 0 0 0 1 0 0 0 0 1 13 41 97 10 IMEACARINA SP 0 0 0 0 0 0 1 0 1 13 41 97 51 IJMNCOUIDS l)FFMEISllU 0 0 0 0 0 0 1 0 1 13 41 97 93 lUBIFICIIl7E IMM Wrur 0 0 1 0 0 0 0 0 1 13 41 98 34 AIJlDIRII1JS PlGUE1I 0 0 0 0 0 0 0 1 1 13 41 98 76 TANYIODlINAE SP 1 0 0 0 0 0 0 0 1 13 41 99 17 CERAIO SP 0 0 0 1 0 0 0 0 1 13 41 99 59 TANYTARSUS SP 0 0 0 1 0 0 0 0 1 13 41 100 00

Totals -gt 7 16 19 96 23 37 29 14 241

Tal 8 3 can led

statim 9 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent Paloent

CHrRHHlS SP 4 20 18 8 18 13 12 15 108 13 50 73 97 73 97 NDWlODi SP 0 4 1 1 0 1 1 1 9 1 13 616 80 14 IER) DIGrrATA 0 3 0 0 2 1 1 1 8 1 00 548 85 62 NIMBJCERA SP 0 3 0 0 0 4 0 0 7 88 4 79 9041 PARAaIllUICHS SP 0 3 0 0 2 0 0 0 5 63 3 42 93 84 CIAJOrANrr SP 0 0 1 0 3 0 0 0 4 50 2 74 96 58 anRHJIINAE SP 0 0 0 0 1 0 1 0 2 25 1 37 97 95 CAENIS SP 1 0 0 0 0 0 0 0 1 13 68 98 63 PIAtIlRBEUA IlJRYI 0 0 0 0 0 1 0 0 1 13 68 99 32 NR EINFEIDIA SP 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 5 33 20 9 26 20 15 18 146

statim 10 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent PeIcent

NDWlODi SP 3 3 4 3 0 2 49 28 92 1150 4623 4623 IER) DIGrrATA 2 3 3 1 6 7 8 0 30 3 75 1508 61 31 CIAJOrANrr SP 1 0 1 0 1 9 3 0 15 1 88 7 54 6884 AIJaUUS 0 0 1 0 0 6 5 0 12 1 50 6 03 74 87 00TRACXgtIlt SP 0 1 0 0 0 0 0 6 7 88 3 52 78 39 lUBIFICI DM WClJI 0 5 1 0 0 0 1 0 7 88 3 52 8191 mISTINA UUISFrA 0 1 1 0 0 2 1 0 5 63 2 51 84 42 HYAIlEIA 0 0 1 0 0 0 0 3 4 50 2 01 8643 BRATSIAVIA tJNIIlENmTA 0 0 1 1 0 2 0 0 4 50 2 01 88 44 NIMBXERA SP 0 0 1 1 0 2 0 0 4 50 2 01 9045 CXlRDYIOHIlRA IAaJSDUS 0 1 0 0 0 1 1 0 3 38 1 51 91 96 PIAlIlRBEIlA IlJRYI 0 0 0 1 0 2 0 0 3 38 1 51 93 47 LIMNOlIUllJS JDFFMEISTERI 0 1 0 0 1 0 0 0 2 25 1 01 94 47 AIJIDIlllIm PIGOErI 0 1 0 0 0 1 0 0 2 25 1 01 95 48 CHrRHHlS SP 0 0 0 1 1 0 0 0 2 25 1 01 96 48 IAEVAPEX FUSaJS 1 0 0 0 0 0 0 0 1 13 50 9698 CXgtRIXIDtE SP 0 0 0 0 1 0 0 0 1 13 50 97 49 mISTINA FROBlSEIIEA 0 0 0 0 0 0 1 0 1 13 50 97 99 NAIS EIllDJIS 0 0 0 0 1 0 0 0 1 13 50 9849 TA8ANIDtE SP 0 1 0 0 0 0 0 0 1 13 50 98 99 auoororus SP 0 0 0 0 0 0 1 0 1 13 50 99 50 PARAClIIRHHJS SP 0 0 0 0 0 0 1 0 1 ll 50 100 00

lbtals -gt 7 17 14 8 11 34 71 37 199

Til 8 crd d

station 11 oct 16 1987 Replicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

DER) DIGITATA 3 0 2 3 4 1 1 0 14 175 3182 31 82 NEMAlOJl SP 0 0 2 7 0 1 0 1 11 1 38 25 00 56 82 C8IRA(X)[) SP 3 0 0 1 0 0 0 0 4 50 909 65 91 atIRNHlS SP 0 0 1 0 3 0 0 0 4 50 909 75 00 PAIAEHImlAE SP 0 0 0 0 0 0 0 2 2 25 4 55 79 55 PRISTINA 0 0 0 2 0 0 0 0 2 2 5 4 55 94 09 IJMOOllUIlS Jl)FFMEISlmI 0 0 0 0 1 0 1 0 2 25 4 55 88 64 PIANORBEUA IlJRYI 0 0 1 0 0 0 0 0 1 13 2 27 9091 GYRNJIIJS PARVUS 0 0 1 0 0 0 0 0 1 13 2 27 93 18 PAIAEHImrES PAIIJJXl9US 0 0 0 0 1 0 0 0 1 13 2 27 9545 lUBIFICIDAE DII WaJl 0 0 0 0 0 0 1 0 1 13 2 27 97 73 PARAClIIlODIJS SP 0 1 0 0 0 0 0 0 1 13 2 27 100 00

Totals -gt 6 1 7 13 9 2 3 3 44

station 12 oct 16 1987 Rsplicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

C8IRA(X)[) SP 2 2 0 3 0 0 0 0 7 88 53 85 53 85 PIANORBEUA IlJRYI 0 5 0 1 0 0 0 0 6 75 46 15 100 00

Totals -gt 2 7 0 4 0 0 0 0 13

IX LARVALJUVENILE F I SH TASK

IXA INTRODUCTION

The i mportance of aquat i c macrophytes i n enhanci ng f i sh

popul at i ons by prov i d i ng protect i on and forage for smal l fi shes has been

d i scussed by many authors ( Lantz et al 1 965 Barnett et al 1 974

Rozas and Odum 1987a 1 987b ) However dense Hydri l l a i n festat i on has

been reported to have del eteri ous effects on gamefi sh popul at i on s by

reduc i ng gamefi sh forage ( Lantz et al 1 965 Col l e et al 1 980 and

Macci na 1 985 ) and yet i mpacts on fi sh popul at i ons have al so been

associ ated wi th the removal of nui sance aquat i c weeds ( Hal l er Sh i reman

and Durant 1 980 and Mi kol 1985 ) Luxuri ant stands of vegetat i on al so

ser i ous ly hamper the fi el d bi ol og i sts attempts to quanti fy fi sheri es

resources Therefore the methodol og i es and the s ampl i ng l ocati ons must

address the compl i cat i ons of dense aquati c macrophyte growth

Th i s task has been speci fi cal l y des igned to exam i ne the effects of

mechan i cal h arvest i ng of Hydr1 l l a i n Lake Okeechobee Top ics of

i nvest igat i on i ncl ude

o removal of eggs and l arvae entrapped i n the weed harvest

operat i on

o exami nat ion of the Redge effectR ( i ncrease i n area of edge of weed

I mats ) on d i stri but i on of l arval fi she s

o rel ati ve abundance of l arvae i n und i sturbed weed areas and open

l ake weed edge waters as compared wi th new weed edge created by

harvest i ng and open water over harvested weed and to open 1 ake

waters beyond the weed fri nge

IX B METHODS ANP MATERIALS

IX B l Sampl i ng Strategy

Sampl es were taken us i ng three methods Phy s i cal removal of egg s

and 1 arvae v i a removal o f harvested Hydri 1 l a was quanti fi ed by the

exami nat i on of sampl es of the harvester s l oad col l ected as i t was

9 - 1

transferred from the transport vessel to trai l er The eggs of those

organi sms wh i ch ut i l i ze Hydrjl l a as a sUbstratum for egg - l ay i ng or as

physi cal protect i on were expected to be represented in these sampl es

Fi ve stati ons were sampl ed to address the abundances of l arval

fi sh and the i r utl l i zat i on of var i ous habi tat s wi th i n the study s i te

Both nocturnal l i ght traps and nocturnal pl ankton tows were empl oyed the

sel ect i on depend i ng upon weed dens i ty Surface pl an kton tows were used

pri mari l y at open water s i tes li ght traps at both surface and bottom

were used to address gradi ents wi th i n the water col umn as wel l as

d i fferences between harvested and unharvested areas li ght traps l ocated

at the bottom were expected to y i el d the greatest catch s i nce most o f

t h e i mportant sport and commerci al fi shes - -Centrarchi dae ( bass )

Perc i dae ( perch ) Ictal uridae ( catfi shes ) and Cypri n i dae (mi nnows

sh i nners carp ) - - have demersal early l i fe stages ( Hardy 1978 Jones

Mart i n and Hardy 1 978)

I X B2 Station Sel ecti on

For the l i ght trap and pl ankton tows fi ve stat i ons representi ng

five d i fferent habi tats were exami ned Control s i tes cons i sted of a

vegetated area a natural weed -edge- habi tat and a natural open water

habi tat The northern hal f of Transect 4 ( 1 52 4 x 545 5m) was the

experi mental transect for l i ght trap and pl ankton tow sampl es ( F i g ure

9 1 ) Two stati on types were sampl ed wi th i n the experimental transect- shy

a n open waterover harvested area and a newl y harvested edge ( F i gures

9 2 and 9 3 ) Stat i on l ocati ons were as fol l ows

Stat i on 1 ( vegetated ) area heav i ly i nfested by Hydri 1] a just

outsi de Transect 4

Stat i on 2 ( harvested ) recentl y harvested area i n Transect 4

Stat i on 3 ( harvested edge ) recently harvested edge of Transect 4

Stati on 4 (natural edge ) edge between an unharvested area and the open

water

Stat i on 5 ( open water ) open water area just outs i de Transect 4

Weed harvest sampl es were col l ected on the fi rst 454 5m ( 1 500 ft) of

Transect 3 ( F i gure 9 1 )

9 - 2

IX B 3 Sampl i ngs

The above descri bed stat i ons were sampl ed on September 23 and 30

1 987 and January 5 1988 Duri ng each quarter four repl cate pl ankton

tows and bottom l i ght trap sampl es were taken at Stat i ons 2 - 5 Both

methods prov ided i n formati on on the d i stri but i on of l arvae and juveni l es

wi th i n the water col umn The pl ankton net served pri mar i l y as a surface

col l ect i ng dev i ce wh i l e the l i ght traps served as a bottom col l ect i ng

dev i ce Pl ankton tows were not poss i bl e at Stat i on 1 therefore l i ght

trap sampl es were taken at both surface and bottom A total of 16

pl ankton tows ( 4 repl icates 4 stat i ons ) and 1 5 l i ght traps ( bottom - 3

rep l i cates 5 stat i ons ) were co 1 1 ected on September 23 1 987 8 l ght

trap sampl es ( 4 s urface and 4 bottom repl i cates 1 stat i on ) were

co 1 1 ected on September 3 0 1987 and 1 6 pl ankton tows ( 4 rep 1 i cates 4

stat i ons ) and 24 l i ght traps ( 20 bottom 4 surface ) sampl es ( 4

repl i cates 5 stat i ons ) were col l ected o n January 5 1 988 Duri ng

Quarter I a combi nati on of both towed and trapped sampl es resul ted i n a

total of 39 sampl es col l ected and anal yzed whi l e Quarter I I col l ect i ons

resul ted i n 40 sampl es col l ected and anal yzed

Three 1 14 l i ter ( 30 gal ) weed harvest sampl es were col l ected

preserved and processed duri ng each quarter L i ght trap and pl ankton

tows were co 1 1 ected from ca 1 hr after sunset to ca 1 hr before

s unri se Weed harvest sampl es were col l ected from the harvester at 1400

hrs ( 2 00 PM)

Weather cond i t i ons were more favorabl e duri ng the Quarter I

sampl i ng s than duri ng Quarter I I sampl i ngs In September a i r temperature

was approx i matel y 270C (800F ) water temperature was 280C (820F ) the

wi nd was l ess than 5 knots and the l ake was cal m In January the a i r

temperature was approx i mately 130C ( 55 40F ) water temperatu re was 160C

( 60 80F ) w i nd was approx imatel y 1 5 - 20 knots and the wave height on the

l ake was approx i mate ly 0 3m ( 1 0 ft )

9 - 3

Harvested Hvdri 1 1 a

For each s ampl i ng of harvested Hvdri 1 1 a three 1 14 l i ter (30 gal )

a l i quots of t ightly packed pl ant materi al were col l ected from several

l ocat i ons wi th i n the harvester l oad Drai ned wet we i ghts were recorded

to u se i n conjunct i on wi th bi omass data The rel at i ve appearance of each

al i quot was descri bed ( tops stems etc ) and the presence of other

vegetat i on was noted

Samp1 es were then careful ly ri nsed to free entra i ned organi sms or

l oose ly attached materi a l and the col l ected wash water was s i eved

through three succe ss i vely smal l er mesh s i zes The resul t i ng three

fract i ons per s ampl e consti tuted those organ i sms and materi al s l arger

than l Z 7nm ( lZ- ) 4 _ (316- ) and 0 363mm ( 1 100- ) Al l s ampl es

were preserved in 10 buffered formal i n and transported to the l aboratory

for further process i ng

pl ankton Tows

Open water and mi 1 d 1 y weeded areas were s ampl ed wi th two 30cm

mouth d i ameter 363u mesh con i cal s i de-mounted con i cal p1 ankton nets

( F i gure 9 4 ) Cal i brated General Oceani cs D ig i tal f1 0wmeters were

pos i t i oned i n the midd1 e of each net aperture to measure the s amp1 ed

water vol ume Four repl i cates were taken at each stat i o n each

represent i ng a 3 mi nute tow A thi rd fl owmeter was al so mounted on the

s i de of the boat to mon i tor net cl ogg i ng by prov i d i ng a measure of the

i deal water vol ume samp1 ed Al l samp1 es were co1 1 ected at n i ght to

mi n imi ze avoi dance of the gear by l arval fi sh

Light Traps

HeaVi l y weeded areas were sampl ed u s i ng rectangul ar (40 6cm x

30 Scm x I S 9cm) p1 exi g1 ass l i ght traps ( F igure 9 5 ) The l i ght traps

were fi tted wi th Tekna- L i te Z underwater fl ashl i ghts and SOSu mesh

sl eeves l ead i ng to quart s ampl i ng j ars L i ght traps were fi shed for

approx i mately one hour Both surface and bottom s ampl es were col l ected

at Stat i on 1 Al l other l i ght trap sampl es were taken at the bottom

Temperature ( 0C ) pH and conducti vi ty (rmnhos ) were measured at

the surface of stat i ons where nets and traps were depl oyed us i ng a

9-4

cal i bra ted Martek Mark 7 meter Oi sso 1 ved oxygen (mg1 ) was measured

us i ng a YS I Model 57 oxygen meter Th i s method i n conjunct i on wi th the

pl ankton tows prov i ded i nformati on to assess both spat i al and

experimental l y i nduced vari at i on i n i chthyop1 ankton fauna

IX B Sampl e Anal ys i s

For each sampl i ng method used the catch per un i t effort ( CPUE ) and

spec i es compos i t i on of the col l ected l arvae per habi tat for each quarter

was reported

Catch per uni t effort for each methodol ogy used was reported as

fol l ows

Harvested Hydri l 1 a the number o f organ i sms caught per 100 kg of

Hydri l l a removed

L i ght traps

Pl ankton tows

the number of organ i sms caught per trap- hour fi shed

the number of organ i sms caught per 100m3 of water

For each pl ankton net samp 1 1 ng event the number of organ i sms co 1 1 ected

was cal cu l ated to a standard number per 100m3 of water Because of

rel at i ve un i formi ty of depth i n th i s port i on of the l ake l arval

dens i t i es (no100m3 ) were converted to no hectare of l ake surface The

depths used i n convert i ng no 100m3 to no hectare were l Om i n the

September sampl i ng and 2 0m i n the January sampl i ngs

Analyses of vari ance (ANOYA S ) were cal cul ated us i ng the CPUE s to

determi ne s i mi l ar i t i es or d i fferences i n s pec i es d i versi ty between

habi tats for each methodol ogy (Tabl e 9 1 ) Student t - tests anal yses

cal cul ated from mean number of fi sh per repl i cate were used to determi ne

s i mi l ar i t i es or d i fferences i n rel ati ve abundance of fi sh between

stat i on s for each methodol ogy (Tabl e 9 2 )

IX C RESULTS

Many terms may be used to descri be the 1 arval stages of fi sh

(Snyder 1 983 ) In thi s study the term pro1 arvae deS i gnates those fi sh

wh i c h have just hatched and sti l l retai n a yol k sac The term

postl arvae i s used for al l stages of l arval devel opment fol l owi ng yol k

9-5

sac absorpt i on yet pri or to attai nment of ful l adul t fi n compl ement

- Larvae - i s used i n referri ng col l ect i vel y to both pro1 arvae and

post1 arvae The term -juveni l e- refers to those organi sms wh i ch have the

ful l adul t fi n compl ement but have not yet attai ned sexual maturi ty

Di s sol ved oxygen (DO) temperature pH and conducti v i ty were

measured at the surface at each s i te (Tabl e 9 3 ) Water temperature and

d i ssol ved oxygen were s i mi l ar at al l stat i ons for each sampl i ng date but

were qui te d i fferent between September and January The average water

temperature ranged from 28 10C i n September to 1 6 90C i n January

Average DO ranged from 4 8 mg1 i n September t o 8 4 mg1 i n January

A total of 996 fi sh representi ng 19 speci es was col l ected at Lake

Okeechobee duri ng September and January combi ned Spec i es l i sts for each

sampl i ng date and for total sampl i ng efforts are presented i n Tabl es 9 4

9 5 and 9 6 respect i ve l y Heterandria formosa ( l east ki l l i fi sh ) was

the domi nant spec i es col l ected accounti ng for 41 of the total catch

Lepomis sp ( sunfi s h ) and Gambusi a affi ni s (mosqu i tofi s h ) accounted for

13 8 and 1 2 8 respect i vel y of the total catch Of t he 996 fi sh

col l ected 0 2 were pro1 arvae 46 5 were post1 arvae and 53 3 were

j uveni l es Gambusi a affi n is and Heterandri a formosa were the onl y

speC i es col l ected as adul ts ( 0 3) L i vebearers (H formosa affi n i s

and Poecll i a 1 at i pi nna) al ong wi th ki l l i fi sh (Jordanell a f1 0ri dae and

lucan i a parva) accounted for 55 of the fi sh co1 1 ected The percent

compos i t i on of 1 i vebearers and ki l l i fi sh for each stat i on i s presented i n

Fi gure 9 6 Centrarch i d eggs represented 77 of the 5 932 eggs

col l ected

Catch per un i t effort (CPUE) of each spec i es per stat i on per

s amp1 i ng date for the p1 ankton tows 1 i ght traps and weed harvest are

presented i n Tabl es 9 7 9 8 and 9 9 respect i vel y A majori ty of the

uni dent i fi ed fi sh reported appeared to be cypri n i ds (mi nnows and carp )

F i nal veri fi cat i ons are be i ng cond ucted by Dr W R Courteney ( Fl ori da

Atl anti c Uni vers i ty) Mr 1 S i mon ( Large Ri vers Larval Research

Stat i on ) and Mr D E Snyder ( Larval F i sh Laboratory) and are not yet

ava i l abl e

I n the pl ankton tows for al l stat i ons combi ned 1 2 of the 19

reported spec i es were col l ected of wh i ch 97 5 were post1 arvae Leoomi s

9-6

spp ( sunfi sh ) was the domi nant spec i e s mean abund ance was 465 8

i nd i v i dual shectare i n September and 2 262 i nd i v i dual shectare i n

January Wh i l e Leoomi s spp was most abundant at the open water stat i o n

i t was al so abundant a t the harvested edge and natural edge stat i ons

The smal l er spec i es such as poeci l 1 id s ( l i vebearers ) cypr i nodonti ds

( ki l l i fi sh ) and the cypri n i d s were most abundant at the harvested

stat i on The l arger i nd i vi dual s of these spec i e s were al so col l ected i n

l ower numbers at the harvested edge and natural edge stati ons The

harvested area exh i bi ted the greatest speci e s d i versi ty ( 8 spec i e s ) and

the second h i ghest abundance ( 2 656 i nd i v idual shectare ) i n September

I n January fi sh were most abundant at the open water stat ion ( 5 918

i nd i v i d ual shectare ) but th i s stat i on al so exh i bi ted the l owest speci es

d i vers i ty ( 2 speci es ) Total abundance at th i s stat i on was affected by

the spawn i ng of Lepomis spp whi ch accounted for 4 608 of the 5 918

i nd i v i dual shectare predomi nantly i n the l arval stages Fi sh col l ected

by the pl ankton net method accounted for 28 4 of the total catch

Wi th respect to the eggs col l ected i n the pl ankton tows

centrarch ids were the domi nant speci es (97 eggshectare) The number of

egg s reported i n the pl ankton tows represented only 0 05 of al l eggs

co l l ected

The l i ght traps Igtredomi nantl y attracted juven i l es ( 63 1)

represent i ng 1 5 of the 19 speci es col l ected Heterandri a formosa was the

domi nant spec i es (mean bull 4 5 fi shhour) and Gambusi a affi n i s was the

second most abundant spec i es ( mean bull 1 6 fi shhour) The h i ghest CPUE

for both of these spec i es occurred at the vegetated stat i o n ( 18 03

fi shhour for Heterandri a formosa and 7 03 fi shhour for Gambusi a

affi n i s ) The vegetated and the harvested stat i on s demonstrated the

h i g hest spec i es ri chness each with 8 d i fferent speci es The l arger

spec i es atheri n i ds ( s i l vers ides ) and gobi es were not general l y confi ned

to one habi tat They were present i n the open water and edge habi tats

a s wel l a s the harvested stati on Spec i es of the fami l y Perc idae ( perch)

appeared onl y i n the 1 i g ht trap sampl es at the harvested and harvested

edge stat i on s Few f i sh eggs were col l ected i n l i ght traps

F i sh col l ected i n the weed harvest sampl es accounted for 50 3 of

the total f i sh catch and represented 10 of the 1 9 spec i es reported

9 - 7

Heterandri a formosa and i affin i s were the two predomi nant s peci es

numberi ng 492 3 fi shlOa kg of weed and 1 51 6 fi shlOa kg respect i vel y

O f the total number o f f1 sh col l ected i n the weed harvest 9 9 were

col l ected i n September and 78 of those were j uveni l es W i th the

excepti on of one ki l l i fi sh the 1 i vebearers were the onl y spec i es

col l ected as juven i l es Lepomi s spp was col l ected i n very l ow numbers

and onl y i n the post1 arva1 stage

Eggs col l ected i n the weed harvest sampl e s represented 99 of al l

eggs col l ected Centrarch id eggs wh i ch were col l ected onl y i n January

were the domi nant spec i es of eggs wi th an average of 8 899 eggsl Oa kg

Hydri 1 1 a sampl es exh i b i ted two markedly d i fferent appearance One type

was very 1 eafy wi th short i nternodu1 e spaces the other was l ong and

stri ngy wi th fewer l eaves and l onger i nternodu1 e d i stances Repl i cate

3 of the September samp 1 i ng and rep 1 i cates 2 and 3 of the January

samp l i ng cons 1 sted mai nl y of the l ong stri ngy Hydrill a A greater

number of eggs were col l ected i n the l eafi er Hydri 1 1 a

IX D DISCUSSION

IXD l Effects of Weather

The January sampl i ng resul ted i n l ow speci es ri chness and

abundance A total of 8 f1 sh representi ng 4 speci es were co 1 1 ected i n

the l i ght trap and weed harvest sampl es combi ned These l ow numbers are

most evident i n the January l i ght trap data presented i n Tabl e 9 8 I t

i s bel i eved the adverse weather and l ake cond i t i ons prev i ousl y menti oned

were the primary reasons for these l ow numbers rather than effects of

spawn i ng act i v i ty or mechani cal harvesti ng One specul at i on may be that

the strong wi nd caused a strong current wh i ch may have effecti vel y

h i ndered the swimmi ng abi l i ty of the weaker swimmi ng post1 arvae and smal l

j uven i l e s Consequently these organ i sms became more or l ess pl ankton i C

Another suppos i t i on may be that the strong currents caused by the w i nd

sti rred u p the water enough to cause a decrease i n water c l ari ty Th i s

woul d a l so resu1 t i n a decrease i n 1 i ght trap effect i veness Adverse

9-8

weather cond i t i ons i n January may have al tered the effecti veness of both

sampl i ng method and techn i ques

IX D 2 Sampl i ng Effec1 encv

Prev i ous stud i es (Ager 1 97 1 F l ori da Game amp Fresh Water Fi sh

Commi ss i on 1956 ) reveal ed that at l east 48 fi sh speci es i nhabi t Lake

Okeechobee Duri ng the present study 2 1 spec i es or 44 of those found

i n the l ake have been col l ected thus far

Speci es saturati on curves wh i ch address sampl i ng effi c i ency do not

appl y to i chthyofaunal analys i s due to such factors as act i ve movement of

organ i sms wi thi n and through an area di fferences i n seasonal spawn i ng

and d i verse uti l i zati on o f a habi tat by di fferent 1 i festages wi th i n a

spec i es An esti mate of sampl i ng effi c i ency can be obta ined by compari ng

the number of spec i es col l ected i n our study duri ng a g i ven season ( or

month) to the number of speci es known to spawn i n that season i n Lake

Okeechobe e

Spawn i ng seasons of 3 2 o f the 48 known speci es have been

documented Spawn i ng seasons for the remai nder of the spec i es are

unknown or have not been reported Of the 32 speci es wi th known

spawn i ng seasons there are approxi mate ly 1 5 l ate summer to fal l

spawners 1 4 l ate fal l to wi nter spawners and 2 5 spri ng and sununer

spawners At l east 4 of these speci es seem to spawn al l year around

U s i ng these numbers as a basel i ne for compari son an approxi mate

percentage of speci es col l ected per season ( or month) can be cal cul ated

I n our September sampl i ng whi ch represented l ate summer to fal l

spawners 10 of the 1 5 known speci es (or 66) were col l ected In our

January sampl i ng representi ng l ate fal l to wi nter spawners 10 of the 1 4

known spec i es ( or 7 1) were col l ected Most o f the fi sh spec i es i n Lake

Okeechobee are spri ng and summer spawners ( 7) consequentl y our

spec i es l i st i s expected to i ncrease i n Quarter I I I due to th i s i ncrease

i n spawn i ng act i v i ty

The number o f t i mes a n area i s sampl ed wi thi n a season i s as

i mportant a factor i n col l ect i ng adequate data as i s the number of

repl i cates taken Due to fund i ng constra i nts onl y one sampl i ng event

9-9

per season was schedu led Typ i cal l y i chthyofaunal s ampl i ngs are

conducted on a monthl y or b imonthl y schedu l e Th i s resul ts i n an

i ncrease i n novel speci es over t i me wh i ch l essens the i nfl uence of

prev i ou s l y ment i oned factors that i nh i bi t anal ys i s

The spec i es represented i n our study coi nc i de wi th the s pec i es

known to i nhabi t Lake Okeechobee The same spec i es were col l ected w i th

al l methods uti l i zed i nd i cat i ng there was very l i ttl e d i fference i n

spec i es d i vers i ty between methods empl oyed

IX D 3 Methodol ogy ys Li festage

Pl ankton tows most effect i vel y catch organi sms moved by currents

( pl ankton ) and l i ght traps attract free-swi mmi ng organ i sms As a resu l t

nearl y al l the postl arvae were col l ected i n pl ankton tows wh i l e

juven i l es were taken i n l i ght traps I n order for the l i ght traps to be

successfu l fi sh 1 arvae must be attracted to a l i ght source Some

spec i es of fi sh are attracted to l i ght some are repel l ed wh i l e others

are unaffected Whi l e onl y spec i es that were pos i t i vel y phototroph i c

were captured i n the l i ght trap sampl es those same spec i es were al so

captured i n the pl ankton tows and weed harvest sampl es These s pec i es

were not excl us i ve to any one methodol ogy The eggs wh i ch were reported

i n l i ght trap sampl es were probabl y fl oat i ng i n the water col umn and

carri ed i n to the trap by currents The greatest number of eggs were

removed by the weed harvester when the 1 eafi er type of Hydri l l a was

harvested Some adul t fi sh spawn i n areas of dense Hydri l l a i nfestat i on

( Chubb and L i ston 1 986 Pal l er 1987 ) Therefore the l eafi er Hydri l l a

i s most l i kel y the preferred area for attachment and protect i on due to

the h i gher surface area

Onl y the smal l er spec i es were col l ected as adul ts i n al i quots of

harvested weeds Presumabl y these smal l er s pec i es seek Hydri l l a for

protect i on and are subsequentl y removed al ong wi th the Hydr i l l a by the

harvester S i nce no adul ts of l arge spec i es were col l ected i n the weed

harvest sampl es i t i s poss i bl e they are abl e to swi m out of the

i mmedi ate area to avo i d removal wi th the Hydri l l a

9- 10

IXO4 Aqyat i c Vegetati on and Spec i es Cond i t i on

Prev i ous stud i es (Hal l er Shi reman and DuRant 1980 ) i nd i cated

that few adul t fi shes are actual l y harvested i n conj unct i on w ith Hydri l l a

removal Therefore no fi el d demonstrat i on act i v i t i e s were pl anned

duri ng the present study

Stud i es have shown that changes i n areal coverage of submerged

vegetat i on have a d i rect effect on spec i es ut i l i zat i on of habi tats and

d i stri but i on between habi tats (Col l e and Sh i reman 1980 Rozas and Odum

1987 ) Hydri l J a prov i des shel ter for l arge numbers of forage fi sh In

areas of th ick HydrjJ l a i nfestati on s acces s i bi l i ty i s reduced resul t i ng

i n decreased feed i ng effi c i enci es of forag i ng fi sh Macci na and Shi reman

( 1982 ) reported dense Hydri l l a i nfestat i ons coupl ed w ith reduced forage

fi sh av a i l ab i l i ty appeared to restri ct bl ack crapp i e ( Pomoxi s

nigromacyl atys) growth S imi l arl y Bai l ey ( 1978) reported an i mprovement

i n both growth and cond i t i on of sunfi shes after the removal of dense

aquat i c vegetat i on Col l e and Shi reman ( 1980 ) reported the amount of

Hydri l l a i n the water had a greater i n fl uence on the cond i t i on of

bl ueg i l l and sunfi sh than did percent cover As more of the water col umn

becomes i nfested with Hvdri l l a the cond i t i on of these speci es decreases

The degree of change 1 5 spec ies spec i fi c and rel ated to food usage

Hydri l l a growth affects the cond i t i on factors of l arger gamefi sh before

i t affects cond i t i on factors of smal l er gamefi sh Th i s i s probabl y due

to prey-capture effi c i ency

El i mi nati ng Hydril l a compl etely from an area 1 5 al so detri mental

to f1 sh popul at i on s ( Col l e and Shi reman 1 980 ) Th i s woul d resul t i n a

decrease i n avai l abl e refuge for the forage fi sh renderi ng them read i ly

suscepti bl e to predat i on U l t i matel y the decrease i n forage fi sh

ava i l abi l i ty wou l d l ead to a decrease i n popul ati on of p i sci vorous fi sh

An i ncrease i n edge avai l abi l i ty due to harvest i ng i ncreases food

ava i l abi l i ty by al l owi ng forag i ng al ong a greater open water-vegetat i on

gradi ent Th i s i n turn resul ts i n more favorabl e cond i t i on factors for

gamefi sh Increas i ng the edge avai l abi l i ty i n our study seems to have

had no short term effects on l arval f1 sh popul at i ons such as al ter i ng

spec i es ut i l i zati on or abundance i n the area

9 - 1 1

rhe above menti oned studi es and others (Hi ko1 1985 Gregory and

Powl e s 1985 Lantz et a1 1 965) i l l ustrated that aquat i c vegetat i on

growth wi th i n l i m its prov ides an ava i l abl e suppl y of forage fi sh

essent i al to favorabl e sport fi sh popul ati on growth

IXD S Hab i tat Uti l i zation

rhe vegetated habi tat i n our study seems to be uti l i zed mos t by

post1 arvae and j uven i l es of the 1 i vebearers and ki l l i fi sh The domi nance

of these two spec i es groups at the vegetated stat i on i s cl early

i l l u strated i n F i gure 9 6 Al though the catch per un i t effort was

h i ghest for these smal l er speci es the ANOYA resul ts i nd i c ate l arval

stages of the l arger spec i es were uti l i zi ng the h abi tat as wel l It

seems that al most al l of the spec i es col l ected use the vegetati on as

protect i on from the l arge foragi ng fi sh at some t i me duri ng the i r l i fe

ANOYA resul t s showed there were no s i gni fi cant d i fferences i n spec i es

d i vers i ty between the vegetated surface ( X - 1 42 ) 1 i ght trap s ampl es

T - tests i nd i cated ( plt OS) there were al so no s ign i fi cant d i fferences i n

number of fi sh col l ected from the surface ( X-27 7) and bottom ( X 23 9 )

s ampl es These resul ts impl y there was no strat i fi c at i on i n the vert i cal

d i s tri but i on of fi sh wi thi n the vegetated habi tat

The open water habi tat i s most ly ut i l i zed by the l arger spec i es

Lepomi s spp and gobi es wh ich were probably u s i ng the area as a forag i ng

s i te

S i mi l ari t i es or d i fferences i n spec i es d i vers i ty and abundance

betwee n t h e vegetated and open water habi tat s were exami ned

stat i st i cal l y Al though CPUE s for the l arger spec ies were qu i te

d i fferent from the CPUE s of the smal l er spec i e s ANOVAS i nd i cate there

were no s i gni fi cant d i fferences i n spec i es d i vers i ty between these two

stat i ons ( p-O OS ) The j uveni l es of the smal l er spec i es must be

ut i l i z i ng the open water areas as foragi ng s i tes al so T-tests on the

number of total fi sh i n the l ight traps reveal ed there was a

stat i st i cal ly s i gn i fi cant d i fference between the number of fi sh i n the

vegetated habi t at (X-23 9 ) and those i n the open water hab i tat (X38 4)

Th i s d i fference was expected s i nce 96 of the j uven i l es were col l ected

9 - 1 2

i n l i ght traps and 9 of those were col l ected i n the vegetated habi tat

There were more j uven i l es i n the harvested area than i n the open water

consequent l y the l i ght trap woul d have attracted more fi sh i n the

harvested are a Most o f these j uven i l es col l ected were l i vebearers and

ki l l i fi sh The d i fference i n fi sh numbers was probably i nfl uenced more

by spec i es ut i l i zati on and methodol ogy rather than by harvester i mpacts

The harvested edge and natural edge habi tats i n our study were

predomi nantly uti l i zed by l arger spec i es CPU E s were very s i mi l ar among

spec i es between these two stat i ons There was no stat i st i cal ly

s i gn i fi cant d i fference i n speci es d i vers i ty between the harvested edge

and natural edge T-tests i ndi cated there was no stat i st i cal l y

s i gn i fi cant d i fference i n fi sh abundance between these two stati ons

( harvested edge X-27 9 natural edge X-33 6) Evi dentl y the harvest i ng

of Hydrl l J a has had no s igni fi cant short term i mpact on e i ther

d i stri but i on or abundance of fi sh i n these two areas

As wi th other s i mi l ar stud i es ( Rozas and Odum 1 987 Barnett and

Schne i der 1 974 Pal l er 1987) MML s vegetated and h arvested stati ons

were ut i l i zed by the smal l er spec ies (sect affi n i s H formosa and 1

parva) whi l e open water and edge stati ons were frequented by 1 arger

spec i es ( Lepomj s spp sect robustum and H qul osus ) Recent stud i es have

shown that vegetated areas prov ide protect i on for smal l fi sh by reduci ng

the foragi ng effi ci ency of l arge predators ( Rozas and Odum 1 987 Macc i na

and Sh i reman 1 982 ) In add i t i on to provid i ng refuge Hydri l l a al so

supports a high number of i nvertebrates wh i ch may be an i mportant food

source for smal l fi sh ( Pal l er 1987 Rozas and Odum 1987) Some l arge

open water forag i ng fi shes may demonstrate fl exi bl e habi tat requ i rements

I t was found that bl ueg l 1 l s foraged effecti vel y on vegetat i on-dwel l i ng

prey i n areas of submerged vegetati on as wel l as i n open water areas

(Werner and Hal l 1 977 Col l e and Shi reman 1980 ) The use of habi tat by

Lepomi s s p i n Lake Okeechobee seems to paral l el the fi nd i ngs of these

stud i es Lepomi s spp appear to ut i l i ze al l fi ve habi tats for spec i fi c

purposes and t o a d i fferent extent The vegetated and harvested areas

are probabl y used for protect i on and spawn i ng the harvested and natural

edges and open waters were probabl y forag i ng s i tes

9- 13

Ana1 ysi s of the eggs and 1 arvae entrai ned by the weed harvest

program wi l l al l ow est i mates of total egg and l arval stocks of the study

area Th i s method wi l l not quanti fy al l stocks present due to escape of

l arvae back i nto the waters by runoff from the barge avo idance of weed

h arvesters etc It wi l l however quant i fy h arvester i mpacts and al l ow

a rough compari son of abundance est imates to those generated by the l i ght

trap and net methodol og i es El i mi nati ng Hydri 1 1 a compl etel y from an area

i s al s o detri mental to fi sh popul at i ons (Col l e and Sh i reman 1 980 ) Th i s

woul d resul t i n a decrease i n ava i l abl e refuge for the forage fi s h

renderi ng them read i l y suscepti bl e t o predat i on Ul t i matel y the

decrease i n forage fi sh ava i l abl 1 i ty wou1 d 1 ead to a decrease i n

popul ati on of pi sci vorous fi sh

Al though thi s study was not des i gned to determine the total

percent of fi sh and fi sh egg s bei ng removed by the weed harvester from

lake Okeechobee the rel at i ve abundance of fi sh and fi sh eggs bei ng

removed w ith the Hydrl 1 1 a can be determi ned Th i s can be accompl i shed by

compari ng the percent of fi sh and fi sh egg s col l ected i n the weed h arvest

sampl es to the percent of fi sh and fi sh eggs col l ected i n the pl ankton

tows and 1 1 ght traps Of the three methodo l og i es empl oyed the weed

harvest sampl es contai ned the greatest abundance of organ i sms The weed

h arvester removed 50 3 of al l fi sh and 99 of al l egg s col l ected to

date The pl ankton tow sampl es represented 28 4 of al l fi sh and 0 of

al l eggs col l ected ( Figure 9 7) These data i nd i cate a l arge number of

fi sh and fi s h egg s are bei ng removed wi th the Hydri 1 1 a The avai l ab i l i ty

of an i mportant habi tat for spec i es uti l i zat i on i s al so be i ng removed

Data col l ected thus far suggest there are no stat i st i cal l y

s i g n i f i cant short- term i mpacts on spec i es abundance or d i stri buti o n on

l arval and j uven i l e fi sh i n lake Okeechobee due to mechani cal h arvest i ng

However the avai l ab i l i ty of an i mportant habi tat i s bei ng removed

Consequentl y more extens i ve short- term and l ong -term stud i es shoul d be

conducted over a broad t ime span

9 - 1 4

IX E SUMMARY ANP CONCLUSIONS

1 Heterandria formosa Leoomis sp and Gambusi a affi n i s were

the three most abundant fi sh spec i es wh1 1 e centrarchi d eggs were the

most abundant egg spec i es col l ected

2 Thus far 2 1 speci es ( or 44) of those found i n the l ake have

been col l ected

3 Nearly al l the post1 arvae were col l ected i n pl ankton tows and

weed harvest s ampl es whi l e juven i l es were taken i n l i ght traps

4 The weed harvest s ampl es contai ned the greatest abundance of

organ i sms

5 There seems to be no strati fi cati on i n the veri t i cal

d i stri buti on of fi sh wi th i n the vegetated habi tat

6 There was a stati sti cal l y s igni fi cant d i fference between the

number of fi sh in the vegetated habi tat and those i n the open water

hab i tat

7 There was no stati sti cal l y s i gn i fi cant d i fference i n speci es

d i vers i ty between the harvested edge and natural edge

8 Leoomis s p appear to uti l i ze al l five habi tats for speci fi c

purposes and to a d i fferent extent

9 Mechan i cal harvesti ng seems to have had no stati sti ca l l y

s i gn i f icant short-term impacts on spec i es abundance or d i stri but i on on

l arval and juven i l e fi sh in Lake Okeechobee thus far

10 The avai l ab i l i ty of an i mportant habi tat i s be l ng removed by

the weed harvester

9 - 1 5

LITERATURE C ITED

Bai l ey W M 1 978 A compari son of fi sh popul at i ons before and after extens i ve gass carp stocki ng Trans Am F i s h Soc 1 07 181 - 206

Barnett B S and R W Schne i der 1 974 F i sh popul ati ons i n dense submersed pl ant commun i t i es Hyac i nt h Contr J 1 2 1 2 - 1 4

Chubb S L 1986 Dens i ty and d i stri but i on o f l arval fi shes i n Pentwater Marsh a coastal wetl and on Lake M ich i gan J Great Lakes Res 1 2 ( 4 ) 332-343

Col l e D E and J Y Shi reman 1980 Coeffi c i ents of cond i t i on for l argemouth bas s bl ueg i l l and redear sunfi sh i n Hydri l l a - i nfested l akes Trans Am Fi sh Soc 109 52 1 - 53 1

Gregory R S and P M Powl es 1 985 Chronol ogy d i stri but i on and s i zes of l arval fi sh samp l ed by l i ght traps i n macrophyte Chenung Lake Can J Zool 63 2569 -2577

Hal l er W T 1 980 F i sh harvest resul t i ng from mechan i cal control of Hydri l l a Trans Am Fi sh Soc 109 51 7 -520

Lantz K E J T Daves J S Hughes and H E Schafer Jr 1 965 Water l evel fl uctuat i on - - i ts effects on vegetat i on control and fi sh popul at i on management Proc Annual Conf SE Assoc Game amp F i sh Comm 1 8 483-495

Macc i n a M J and J Y Shi reman 1 982 I nfl uence on dense Hydrl l l a i nfestat i on on bl ack crappi e growth Proc Ann Conf SE Assoc F i sh amp W i l dl Agenc i es 36 394 -402

Mi kol G F 1 985 Effects of harvest i ng on aquat i c veget at i on and j uven i l e fi sh popul at i ons at Saratoga Lake New York J Aquat Pl ant Mgt 23 59 -63

Pal l er M H 1 987 Di stri but i on of l arval fi sh between macrophyte beds and open channel s i n a southeastern fl oodpl a i n swamp J Freshwater Ecol 4 ( 2 ) 1 9 1 - 200

Rozas L P and W E Odum 1 987a F i sh and mi crocrustacean use of submerged pl ant beds in t i dal freshwater marsh creeks Mar Ecol Prog Ser e 38 10 1 middot 108

Rozas L P and W E Odum 1987b Use of t idal freshwater marshes by fi shes and mcrofaunal crustaceans al ong a marsh stream-order grad ent Estuari es 10 ( 1 ) 36 -43

Snyder D E 1 983 F i sh eggs and l arvae I n L A N i el sen and D L Johnson ( eds ) F i sher i es Techn i ques Southern Pri nti ng Co I nc Bl ackburg VA p 166 - 167

9 - 16

Tabl e 9 1 Ana l yses of vari ance ca l cu l ated for pl ankto n tows and l i ght trap s amp l es for September and January s amp l ings

S t mb r 23 1 987

S t at i ) n

CQIJ n t Hi-an S t j DiIv

S t j E r r Vr- i n c C ) i- r r Vr M i n imum M alt i m IJ m

1 -WoiY ANOW

Troiltill1i n t Er l or-

Tot a T

F-t e s t Rat i o

Li 9 h t Tri o Simo T

C IJ nt M in

S t middotj CIiV S t d E I r

V i r i in c C )i r f VJr

Mi n i mlJm

Ma( i m um

1 -WJY ANI)VA

71-=03 t mi n t

Er r o rmiddot

25 1 1 1 7 1 73

57 24 24il l 58 1

53 578

l s

4 2 7 1)6 -

-

bull bull j-4 90

1 52 84

33 1 3 03

-r c T -

J

7 2c2 7 1 1 63 06

63 52 2245 32 i 1

3 43

SS

1 48092 3

2572

26 1 1664

1

1 42

2 45 -

-

5 3 1 7 1 63

1

7 3 1

SS

66 13 3 1 5 4)

38 1 53

4

6 383 1 7 65 1 4

230 72 3 1 lt0337

1 47 49 4lt

1 506

DF

3 23

26

2

3 99

1 49 bull oJ

2 22 1 49 86

- - 4 (3

OF co J

co oJ

5 3 1 Be) 330 53 1 5 1 bull 6 1 1 53 1 2

8 67 e J

75 1

MS

49364 12 107 1 1 1 a

3

3 73 17 bull 1 C) 03

23 i3 53

83

Mshy

D 23 7 86

4 II w

37 bull 3 43 e bull J (

1 7 middot _ bull 1 3 3 1

43 34 6(1 36 - I 0

1 4 1 7

Tabl e 9 1 conti nued

3 4 oJ

CrIJ nt 4- 5 3 4 M rl 4 1 5 01) 548 00 7)4 67 1 562 00

5 t j D 1 520 60 643 23 03 I 2053 65

S t j Er r 261) 30 287 6 46( 33 1 026 33 Voir- h r c -o 27 1 025 4 1 33 1 4 653middot25 42 1 7476 C Hd f VJr 1 25 45 1 1 7 39 1 1 4 76 1 3 1 43

Mi n i mlJIT fr oJ) 3 54 330 11a(imJm l 1 S8 1 642 1 6 1 0 4608

l -W y ANQVA

S5 OF MS

r tme n t 32601 7 1 3 1 086724

Er r o r 1 6423671 12 1369056

iot Jl 1 1638342 1

F-t est R t i ) 71

Tabl e 9 2 Student t -tests analyses cal cul ated for p l ankton tows and 1 i ght trap sampl es for September and January sampl i ngs

t -Gear Stati on Habi tat Mean S D Stat i st i c plt0 05

L ight trap 1 bottom vegetated 23 88 6 252 L i ght trap 5 open water 8 35 0 495 3 308

Light trap 1 surface vegetated 27 70 24 13 L i ght trap 1 bottom vegetated 23 88 6 25 0 307 NS

Pl ankton tows 3 harvested edge 27 89 6 92

Pl ankton tows 4 natural edge 33 57 1 5 06 -0 685 NS

Pl ankton tows 2 harvested 34 88 9 74 5 open water 50 82 26 42 - 1 133 NS

Tabl e 9 3 Temperature ( OC) pH ( standard un i ts ) conducti v i ty (lIIIIhos ) and d i ssol ved oxygen (mgl ) for fi sheri es Stat i ons 1 - 5 September and January sampl i ng s

SeDtember

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( OC ) 28 03 28 02 27 93 28 32

pH 7 83 7 84 7 96 8 1 2

Conduct i v i ty (nmhos ) 0045 0039 0038 004 1

D O (mgl ) 4 3 4 0 5 3 5 4

January

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( oC ) 16 99 16 97 16 85 16 74 16 80

pH 7 10 7 1 7 7 07 7 1 3 7 1 0

Conduct i v i ty (nmhos ) 0018 0020 00 18 00 16 00 16

D O ( mgl ) 8 1 8 6 8 4 8 6 8 4

Tabl e 9 4 L i st of fi sh spec i es from Lake Okeechobee September s ampl e s

Engraul i dae Anchovi e s

Anchoa mi tchi l1 1

Cypr i n i d ae

Notemigonys crysol eucas NotroDi s sp

Cypri nodont f dae

Jordane1 ] a fl oridae Lycania Darva

Poeci 1 i i dae

Gambys1a affinis Heterandr i a formosa poec1 l ia l atjpi nna

Atheri n i dae

Menid i a s p

Centrarchi dae

LeDomi s macroch1 rys LeDomi s s p

Gob i i dae

Gobiosoma robystym Microgob1 ys gyl osys

bay anchovy

Carps amp M i nnows

gol den shi ner s h i ner

Ki 1 1 i fi shes

f1 agfi sh rai nwater ki l l i fi sh

Li vebearers

mosqu i tofi sh 1 east ki l l i fi sh s a i l fi n mol l y

S1 1 vers i de s

s i l versi de

Sunfi shes

bl uegi l l sunfi sh

Gob i es

code goby cl own goby

Tabl e 9 S Li st o f fi sh speci es from Lake Okeechobee January sampl es

SDec1 es Common Name

Cypr i n idae carps and minnows

HotroDi s s p sh i ners

Poec l l i l dae l l vebearers

Gambusi a aff1 n 1 s mosqu l tofi sh Heterandri a formosa l east kl l l i fi sh

Ather i n idae s l l vers ides

Centrarch l dae sunfl shes

LeDom1 s sp sunfi sh

Percl dae perches

Gob1 1 d ae gob l es

Tabl e 9 6 li st of al l fi sh spec i es col l ected to date i n lake Okeechobee sampl es

Species Common Name

Engrau1 i dae anchov i es

Anchoa mi tch ll 1 i

Cypr i n i dae

Notemigonus cryso1 eucas Hotropi s s p

Cypri nodont 1 dae

Jordane1 ]a f] ori dae lucan i a parva

Poec l 1 i l dae

Gambysi a affi n i s Heterandri a formosa poec1 l i a l atpi nna

Ather1 n 1 dae

Meni d ia sp

Centrarch idae

LeDomis macroch i rus LIPomis s p

Perc i dae

Gob1 i dae

ampobiosoma robustum M1crogobiys gu l osus

bay anchovy

carps and mi nnows

gol d en s h i ner sh i ner

ki l l i fi sh

f1 agfi sh rai nwater ki l l i f1 sh

l i vebearers

mosqui tofi sh l east ki l l i fi sh sai l f1 n mol l y

s i 1 versi des

si 1 versi de

sunfi shes

bl ueg i l l sunfi sh

perches

gobi es

code goby cl own goby

Tabl e 9 7 Mean number of i nd i v i dual s ( per s peci es ) per hectare at each habi tat for September and January pl ankton tows ( No pl ankton tows i n unharvested weeded areas )

SEPTEMBER 1987

F I SH

Cypr i n i dae NotroDi s sp Lucani a Darya Gambysi a affin i s Heterandri a formosa Men l di a spp Centrarch idae Lepomi s s p Gobi osoma robystum Mi crogobi ys gyl osys Un i denti fied

TOTAL HECTARE TOTAL SPEC I ES

fGGS

ANJABY laa

F I SH

Cypri n idae Cypri nodonti dae Gambysa affi ni s Atheri n idae Centrarch i dae lepomi s s p Uni dent i fi ed

TOTAL HECTARE TOTAL SPEC I ES

Centrarchidae spp Uni dent i fi ed

Harvested ( hec )

1 27 0 3 1 7 0 204 0 199 0 58 0

268 0 578 0 413 0

492 0

2656 0 8

Harvested ( hec)

56 0

230 0

1 188 0 186 0

1652 0 3

Harvested Edge

( hec)

39 0 6 1 0

439 0 395 0 281 0

6 1 0 143 0

1419 0 6

Harvested Edge

( hec )

380 0 1642 0 548 0

2570 0 2

58 0 1 1 2 0

Natural Open Edge Water

( hec) ( hec )

46 0 74 0

400 0 340 0 139 0 751 0

1 506 0 735 0 162 0 46 0 59 0

2299 0 1959 0 5 4

Natural Open Edge Water

( hec ) ( hec)

330 0 54 0

1610 0 4608 0 450 0 980 0

21 1 4 0 5918 0 2 2

330 0

Tabl e 9 8 Average number o f i nd i vi dual s caught per hour fi shed per habi tat i n l i g ht trap sampl es for September and January sampl i ng s ()

Veg a Veg a Harvested Harvested Natural Open Water Surf Bottom Bottom Edge Edge

eEtIE I s 1 2 3 4 5 Surface

Cypri n i dae 0 37 0 83 0 70 0 30 2 2 Notemogonus

crysol ecas 1 07 1 07 Notropi s S P a 1 68 1 01 0 27 2 95 Cypri nodont i dae 0 19 0 19 Lucan i a parva 0 33 0 37 0 70 Heterandri a

formosa 18 03 7 81 0 70 0 53 27 07 Gambusi a affi n i s 7 03 1 7 1 0 67 9 4 1 Men i d i a SP a 4 63 0 83 1 40 0 30 7 16 Centrarchi dae 1 70 1 70 Lepomi s macroch i rus 0 57 0 57 Lepomi s SP a 0 37 0 37

( 0 58) Perci dae (0 30) ( 0 28) Gobi idae 0 76 0 76 Gobi osoma robustum 0 39 0 27 0 37 0 87 1 90 Mi c rogobi u s gul osus 0 97 1 40 1 33 3 70 Un i denti fi ed 0 33 0 19 0 70 1 22

(0 25) fill Anchoa mi tchl 1 l i 0 1 9 Atheri n i dae 0 33

Tabl e 9 9 Total number o f fi sh per spec i es per 100 kg o f Hydri l l a i n the weed harvest sampl es for September and J anuary

Total Rep 1 Rep 2 Rep 3 PEtIE Organ i sms 100 kg 1 00 kg 100 kg

SEPTEMBER

Notrop i s sp 32 5 1 7 27 5 77 5 52 2 Jordanel l a fl ori dana 1 4 0 6 0 3 3 Lucan 1 a p arva 9 27 8 4 6 6 0 12 8 Poec i l l idae 1 4 6 1 5 Gambus i a affi n i s 92 1 1 5 2 1 19 2 220 5 1 5 1 6 Heterandri a formosa 309 500 6 380 4 595 9 492 3 Poec i l i a l at i p i nn a 5 9 2 1 7 9 9 0 Lepomi s sp 2 9 2 3 1 Un ident i fi ed 45 55 6 4 1 2 1 3 1 1 227 9

Ess1 Ather i n i dae 20 1 1 9 50 4 35 8 32 7 Un i den t i fi ed 1 1 1 5 9 9 2 29 8 1 8 3

JANUARY

Notropi s sp 1 5 8 1 9 Heterandri a formosa 1 5 8 1 9

W1 Centrarchi dae 4562 26660 8 36 1 8899 0 Un i dent i fi ed 1 334 7801 2 2600 4

APPROXI MATE W E E D LINE

LAKE OKEECHOBEE

f

1 _middot-

NORTH LAK E S H OAL

-

Fi gure S l S i t e of c ht hyopl a n kton sampl i n g a l o ng ha rve s ted transect 3 a n d 4 Tra n s e c t 3 wa s the a rea of harves ted Hydri l l a col l e c ti o n a nd Tra n s e c t4 wa s the area of p l a n k to n tow a nd li g ht trap col l ec ti o n

O P E N L A K E

bull bull bull

2 5

3

WEEDED AREA

Fi gure 9 4 S chema t i c o f I c h t hyopl ankton samp l i n g s t a t l ons

middot

Fi g u re 9 3 Ap proxima te s ta ti o n area de s i g na ti o ns for l i g h t tra p and p l a n k to n tows a l ong tran sect 4

middot F i gure A Drawi ng of the s i de-moun ted appa ra tus conta i n i ng two JOcm mouth J6Ju mes h coni ca l

p l ankton nets

Waterproof Flashlight

P lastic Colec tion Jar

505u Mesh Plankton Netting

Collar

r---c------i I----+----Hinge

Collection Funnels

Monofilament Handle for Rope and Bouy Attachment

Fi gure 9 5 Schema t i c of l i ght trap used a t the surface of S tation 1 a nd bottom a t Stati ons 1 - 5

(J) a U a lt U a L1 2 (J) - -U LL -c j z Q o z Ci5 lt 0 a 0 () rJl

Figure 96 Numbers of Llvebearers and Killifish 8S percent of total number collected by habitat for September and January samplings c ombined

1 00 -

8 0-

6 0-

4 0-

2 0-

a VE G

( 1 5 1 )

I I I I HARVESTED HARVESTED NAT U R A L

EDGE EDGE

( 5 9 7) ( 7 5) ( 7 5)

H A B ITAT

( TOT AL FIS H COLLECT E D )

OPEN W AT E R

( 1 00)

0 W I-0 W J J 0 0

en IL IL 0

igure 97 Tota l of fish larvae (pro post juv) and fish eggs by methodology use d for

Lake Okeechobee 0 I and 0 2 samplings combined (Total of fish = 9 9 6 Total of eggs =5 9 3 I )

6 0 0- 6 000

5 0 0- 5 0 0 0

0 w 0 lampJ

4 0 0- J 4000 J 0 0 C) CJ 0 bJ

3 0 0- IL 3 0 0 0

-

OO- 2 0 0

1 0 0- 1 0 00

0 0 1- Z en I- en 0 w en 0 = I c w w 1- 0 O lt gt 1-

- 0 0 Z

J I-lt lt I J c

M ET H O D O L O G Y

0 1- Z en w en 0 = W IJJ 1- 0 gt I-0 lt lt I J c

M ET H O D O L O G Y

I- en I c o lt - 0 J I-

X BENEFITCOST ANALYSIS

X A INTRODUCTION

The economi c feas i bi l i ty of impl ement i ng a l ake-wi de mechan i cal

weed harvesti ng program for Lake Okeechobee can be determi ned by

compari ng the economi c costs of weed harvest i ng wi th the economic

benefi ts as soci ated wi th weed removal and val ue of by- products from

harvested aquati c weeds Thi s sect i on of the Hi d- Course Summary Report

provi des a bri ef overvi ew of the prel imi nary efforts i n devel opi ng an

economi c deci s i on framework

X B ECONOMIC DECISION FRAMEWORK

B l BenefitCost Analysis

The i n i t i al scope o f work for phosphorus removal i n Lake

Okeechobee i ncl uded more than one techn i que for reduc i ng the phos phoru s

content of the l ake Based on the orig i nal scope of work the economi c

anal ys i s for thi s project woul d i nvol ve devel opi ng an economi c deci s i on

framework i n wh i ch the vari ous techn i ques ( L e mechani cal weed

harvest i ng sediment removal ) and the various methods of di sposal ( i e

feedstock l and d i sposal so i l amendment b i omass -to-energy ) wou ld be

presented i n a matr i x format resul t i ng i n a number of al ternat i ves The

benefi t and cost anal ys i s woul d be performed u s i ng a net present worth

approach i n whi ch future benefi t and cost fl ows wou ld be converted to

1988 base dol l ar val ues Then the al ternati ves woul d be ranked by thei r

net present worths

Because o f the d i ffi cul ty i n obtai n i ng the necess ary permi ts

( e g FDER dredge and fi l l ) and budgetary restri cti ons sed iment removal

was el i mi nated as a phosphorus removal techni que i n the fi nal work pl an

Consequentl y the benefi t and cost anal ys i s has been s i mpl i fi ed to

cons i st of onl y one techn i que of phosphorus removal ( i e mechan i cal

weed harves t i ng ) The probl em can be further s i mpl i fi ed by treati ng the

economi c benefi ts of by-product uti l i zati on as negati ve costs Thi s

10- 1

resul t s i n h av i ng only i ntri ns i c val ues ( i e phosphorus removal

aesthet i cs i mproved water qual i ty i ncreased recreat i on ) to eval uate on

the benefi ts s i de of the equat i on Consequentl y the economi c analys i s

can be reduced t o a probl em that can be sol ved by the cost - effect i veness

method

Cost -effect i veness i s a method of eval uat i ng al ternat i ve projects

for wh i ch the benefi t s cannot be eval uated i n economi c terms I n thi s

part i cul ar case the benefi ts assoc i ated w i th aquat i c weed removal are

i ntri n s i c and not eas i l y quant i fi ed The economi cal l y effi c i ent sol ut i on

i s the method of d i sposal whi ch mi n i mi zes the costs of weed harvest i ng

The method o f d i sposal t hat ach i eves the greatest benefi t s per un i t cost

or i n th i s case the l east cost per uni t benefi t woul d be preferred

B2 Financi al Feasibi l i ty

Thi s economi c dec i s ion framework assumes that the South Fl ori da

Water Management Di stri ct has al ready determi ned that phosphorus removal

by mechan i cal weed harvest i ng i s the Di stri ct s goal and that the

obj ect i ve i s to mi n i mi ze the costs assoc i ated wi th ach i ev i ng that goal

However the Di str ict has not yet coitted the funds to cont i nue the

weed harvest i ng proj ect Therefore it woul d be advantageous to eval uate

vari ous al ternat i ves i ncl udi ng the Di stri ct s purchasi ng i ts own

equ i pment

The fi nal work product of the econom ic anal ys i s wi l l i nc l ude

est i mated costs i n dol l ars per acre and per ton of Hydri 1 1 a harvested

Because phosphorus removal i s a key aspect of th i s proj ect cost per

pound of phosphorus on a per acre bas i s wi l l al so be determi ned

Est i mated cost per pound of phosphorus per acre wi l l be cal cul ated us i ng

t o t a l h arvest i ng costs and ranges of phosphorus content for

representat i ve areas of the Hydr1 l l a mat

The factors that contri bute to h arvest i ng costs i nc l ude both fi xed

and vari abl e cost s F i xed costs are those costs that do not change wi th

quant i ty of output and cons i st of cap i t al costs ( i e major equ i pment

purchases bu i l d i ngs and l and) wages of sal ari ed personnel and i n i t i al

start -up costs Vari abl e costs are those costs that change w ith quant i ty

1 0 - 2

of output and i ncl ude the cost of operat i ng suppl i e s wages of hourl y

personne 1 fuel consumpt i on and other costs assoc i ated wi th operat i ng

the equi pment

Approxi mate l i st pri ces for the harvest i ng equ i pment used by the

contractor for the weed harvest i ng demonstrat i on on Lake Okeechobee are

presented i n Tabl e 1 Estimated operati ng costs such as fuel consumpt i on

and mai ntenance costs for these i tems are d i scussed i n the fol l owi ng

paragraphs

The two HIO800 harvesters are the 1 argest harvesters made by

Aquamari ne and represent current technol ogy Th i s part i cul ar model has a

Kubota d i esel eng i ne that uses an esti mated 0 5 gal l on of fuel per hour

Wi th proper preventi ve ma i ntenance the equ i pment shoul d be operat i onal

for 1 0 000 hours Based on an operati ng year of 1 000 hours mai ntenance

costs are estimated to be approxi mately S 1 00 per hour Contractorshy

speci fi ed mod i fi cati ons for the harvesters i ncl ude snake screens and

represent rel ati vel y mi nor changes that are i ntended more for safety of

the operator than for operat i onal effi c i ency

The h i gh- speed HS12 - I4000 transporters are a new product offered

by Aquamari ne The S25 000 pr i ce add -on i s due to the subst i tut ion of

two Vol vo i nboardoutboard eng i nes for a total horsepower of up to 275

Fuel consump t i on i s estimated by the manufacturer to be two to fi ve

g al l ons an hour (maximum consumpti on) when both eng i nes are runn i ng

The two TC 800M trai l er conveyors are speci al -order i tems wi th

mod i fi cat i ons that i ncl ude a gooseneck h i tch for a tractor Aquamari ne

makes a smal l er model that l i sts for approxi matel y S6 000 However for

thi s part i cul ar weed harvesti ng demonstrat i on i t i s i mportant to note

that the bed capac i t i es of the harvesters the transporter and the

trai l er conveyors are the same (800 cubi c feet ) and thus transfer t i me

i s mi n im i zed

These costs represent a substanti al capi tal expend i ture for e i ther

a publ i c agency or a pri vate fi rm In order to arri ve at a standard i zed

cost for equ i pment these costs suppl i ed by Aquamari ne wi l l be

suppl emented wi th cost data from other manufacturers of comparabl e

equ i pment The dec i s i on on whether to i nvest i n equ i pment can be

eva 1 uated us i ng the present d i scounted val ue approach That i s the

10-3

current val ue of the i nvestment wi l l take i nto account the effect of the

d i scount rate Because the d i scount rate i s somewhat arbi trary and even

a smal l change i n the d i scount rate can have a 1 arge effect on the

present d i scounted val ue a sens i t i v i ty analys i s wi l l be performed on the

cal cul at i on

A rev i ew of l i terature on mechani cal weed h arvest i ng d i d not

produce cost document at i on on Hydr11 1 a but i nstead reveal ed that t he

majori ty of publ i shed research on aquat i c weed harvest i ng concerns other

aquat i c weeds such as water hyac i nth and mi 1 foi 1 For exampl e Koega1 11

11 est i mated that the cost per acre of harvesti ng aquati c weeds

( unspec i fi ed ) for two projects i n Wi sconsi n from 1 972 to 1 973 was $68 4 1

Th i s cost fi gure may or may not be representat i ve of Hydri 1 1 a

Therefore i n order to arri ve at reasonabl y accurate harvesti ng costs for

Hydr1 1 1 a i t wi l l be necessary to obtai n from ISampT the fol l owi ng dat a

o fuel consumpt i on

o number of l oads harvested

o operati ng hours

o downtimeprevent i ve mai ntenance hours

o wage rates for both sal ari ed and hourl y personnel

o number of empl oyees by type and

o costs associ ated wi th the purchase of suppl i es

Uni t costs on a short middotterm bas i s ( i e the t i me l ength of t he

demonstrat i on project) wi l l be extremel y h i gh due to the l arge cap i tal

costs i ncurred Therefore the project w1 1 1 al so be eval uated on a l ongmiddot

term bas i s ( i e the l i fe of the equ i pment ) for wh i ch the un i t costs

wi l l decrease consi derabl y

I n sUlllllary the fi nal work product for t he economi c anal ys i s

port i on of th i s project wi l l cons i st of a cost-effect i veness study and a

f i nanc i al feas i bi l i ty study The cost-effect i veness study wi l l focus on

methods of d i sposal The fi nanc i al feas i bi 1 i ty study wi l l i nvol ve

eval uat i ng the project on a cost per pound of phosphorus on a per acre

bas i s

1 0 -4

Tabl e 10 1 Approxi mate Cost of Major Equ i pment Used i n the lake Okeechobee Weed Harvest i ng Demonstrat i on

Quant i ty

2

2

1

Name

Harvestors

Conveyors

Transporter

Model

HIO800

TC800M

HS1 2 - 1 4000

li st Pri ce (each)

spec i al mod i fi cati on requested by contractor

Made-to -Order Pri ce (each )

$87 000

$20 000

$60 000

$30 000

$85 000

Source Personal Commun i cat i on wi th Todd Rathkamp Aqua Mar i ne D i v i s i on o f Erectowel d I nc 1 988

DSA Group Inc 1 988

  • MRT 123 Pt 1-3 69p
  • MRT 123 Pt 4 59p
  • MRT 123 Pt 5-6 81 p
  • MTR 123 Pt 7-10 76p

unharvested areas on the bas i s of spec i es compos i t i on Vari at i ons i n

chl orophyl l content al so were affected more by seasonal cond i t i ons than

by harvest i ng

The conunun i ty metabol i sm measurements conducted durlng September

1 987 i nd i cate probabl e d i fferences i n oxygen budgets for control and

harvested areas al though i n i t i al stat i st i cal methods d i d not establ i sh

the s i gni f i cance of such d i fferences Th i s was attri buted to anomal ous

data col l ected at a stat i on with unusual sed iment character i s t i cs ( h i ghly

organ i c unconsol idated f i ne grai ned mater i al in contrast to f i ne

grai ned sand ) Add i t i onal data analyses wi l l excl ude thi s stat i on from

cons i derat i on and future sampl i ngs wi l l be conducted at al ternate

l ocat i ons Di fferences by treatment duri ng the January sampl i ng were not

as pronounced as i n September and i nd i cate that regrowth of Hvdri 1 1 a with i n t hat peri od had offset harvest i ng e ffects

Sed i ment heterogenei ty was marked wi th i n the s i te with organ i c

w ith nutri ent content were fa i rl y l ow Organ i c content averaged 0 7

n i trogen 0 27 mgg total phosphorous 0 08 mgg and potass i um 0 49 mgg

on a dry we ight basi s Ni trate-n i tri te -n i trogen concentrati ons were l ess

than 1 of the total present Total n i trogen tota1 phosphorous rat i os

averaged 3 1 and were markedl y l ower than comparabl e rat i os i n e i ther t he

water col umn or the bi omass sampl es refl ect i ng a preferenti al

mobi l i zati on of n i trogen from s i te sed iments Few stat i st i cal l y

s i gn i f i cant d i fferences were detected a s a resul t o f w ith i n - stat i on

vari ati ons and the col l ect i on of more total phosphorus and total n i trogen

val ues are proposed for the second effort of th i s tas k

Data anal yses t o date for benth i c i nfauna i ncl ude preharvest and

postharvest cond i t i ons duri ng August and October respect i vel y The

August fauna was notabl y depauperate both i n taxa and numbers of

i nd i v i dual s wh i l e pronounced i ncreases in both were observed for

October D i urnal l y oxygen - poor cond i t i ons part i cul arl y duri ng August

may l i mi t benth i c fauna Spati al grad i ents were al so noted w ith

decreas i ng s pec i es ri chness and faunal dens i ti es at the southern end of

the study area Experimental and control stat i ons exh i bi ted s i mi l ar

faunal densi t i es and spec i es richness pri or to harvest wh i l e both

1 -3

parameters were substant i al ly greater at the harvested stat i ons duri ng

the October sampl i ng

Based on sampl i ngs i n September and J anuary the l arval and

juven i l e f i sh task col l ected 44 ( 2 1 ) of al l spec i es prev i ously reported

for Lake Okeechobee F i ve habi tats represent i ng both natural and

harvested edges and open water as wel l as heav i ly vegetated areas

were sampl ed Heterandria formosa LeDomi s sp and Gambus i a aff i nis

were the most abundant spec i es Centrarch i ds were the most abundant eggs

recovered The col l ect i on methods were f a i rly specif i c for part i cul ar

l i fe stage juven i l es were taken primari ly i n l i g ht trap sampl es whereas

postl arvae and eggs were taken i n pl ankton tows and Hvdri l l a sampl es

col l ected by the harvester LeDomi s s p appears to ut i l i ze al l fi ve

hab i tats dependent on l i festage No vert i cal strat i fi cat i on of organ i sms

was detected i n the weeded hab i tat and spec i es d i vers i t i es were

equ i val ent at both natural and harvested RedgesR of the Hydri l l a mat No

stat i s t i ca l ly s i gn i f i cant short term i mpacts of harvesti ng on spec i es

abundance or d i str i buti on are apparent

The cost-benefi t analys i s i s restri cted to eval uati ng mechan i cal

harvest i ng al one Benefi ts of thi s techni que wi th the except i on of

sal eabl e byproducts or costs assoc i ated wi th harvested mater i al are

pr i mari l y non -quanti fi abl e ( i mproved habi tat and water qual i ty boater

access nutri ent removal ) Therefore ranges of econom i c parameters wi l l

be ut i 1 i zed together wi th operat i ona 1 data from harvest i ng and

env i ronmental vari abl es from th i s project to present an economi cal l y

opt im i zed harvest i ng pl an to the Di stri ct

I n sunvnary no catastroph i c impacts due to mechan ical harvest i ng

have been detected i n the foregoi ng categori es al though subtl e

d i fferences have been determi ned by the study des ign Harvest i ng reduces

the amount of oxygen stress i n the study area and the nutri ent content of

the water col umn i s l ower i n the harvested than the unharvested areas

The s i te i s n i trogen l i mi ted based on water col umn sed i ment and pl ant

t i ssue anal yses Seasonal vari at i ons are l arge wi th respect to

d i fferences between harvested and unharvested areas for a l gal and l arval

fi sh popUl at i ons Spati al grad i ents were apparent i n many parameters

1 -4

The qual i ty assurance program associ ated wi th thi s project has

thus far conducted a systems aud i t for the pl an of study and at l east one

performance aud i t on f i e l dwork A Qual i ty Assurance Project Pl an has

been prepared and i s i n use as a project control document Aud i ts of

data management and anal ysi s are pl anned for the fi nal report i ng phase

At mi d -course sampl i ng anal yses and del i verabl es are on

schedul e and the project is operati ng wi th i n the budget No probl ems are

foreseen to prevent t imely compl eti on of the remai nder of the schedul ed

work Where al terati ons to speci f ic tasks have been recommended the

support for these efforts wi l l be obtai ned by real l ocati on of funds

wi th i n the project rather than by add i t i onal fund i ng

1-5

o 18 bullbull UNnar tllllllllI UINL UNnan

_ bull 0111 II wilD LlMi

lAKE (J(EECH08EE

Figure 11 Stu dy site l ocation Evaluation and research of impacts o f mechanical harves ting in Lake Okeechobee

I

I I LAKE OKEECHOBEE LITERATURE REV I EW

I I A INTRODUCTION

A 1 i terature rev i ew was conducted as a d i screte task of the

research project The Eval uat i on and Research of Impacts of Aquat i c Weed

Harvest i ng Demonstrat i on i n Lake Okeechobee cond ucted by Mote Mari ne

Laboratory The purpose of the l i terature rev i ew was to provide project

team members wi th economi c geol og i c hydrol og i c chemi cal and

b i ol og i cal i nformat i on on Lake Okeechobee wi th part i cu l ar emphas i s on

water qual i ty probl ems concern i ng phosphorus storage and cycl i ng between

the water col umn sed i ments and aquat i c weeds

I I B METHODS

Three techn i cal el ements were undertaken i n compl et i ng the

l i terature rev i ew 1) ident i fy i ng and search i ng i nformat i on 2) creat i ng

f i l es and 3 ) devel opi ng outputs

I nformati on was obtai ned by rev i ewi ng journal s for art i cl es

search i ng card catal ogs of area l i brar ies contact i ng major authors

conduct i ng research and request i ng key word searches of avai l abl e

computer l i brari es Journal s searched i ncl uded The Journal of Aquat i c

Pl ant Management Quarterly Journal o f the Fl ori da Academy o f Sci ences

( and Fl ori da Sc i ent i st ) L i mnol ogy and Oceanography Hydrobi ol og i a and

North Amer i can Journal of F i sher i es Management L i brari es vi s i ted

i ncl uded Un i vers i ty of South Fl or ida Uni vers i ty of Fl orid a Mote Mari ne

Laboratory Southwest Fl or ida Reg i onal Pl ann i ng Counci l South Fl ori da

Water Management D i str i c t and the Okeechobee off i ce of the Fl ori da Game

and Freshwater Fi sh Commi ss i on Key word l i terature searches were

c o n d u c t e d on d i qu at Lake O keechobee Hyd r i l l a and

nutr i entsaquat i c pl ants u s i ng searches avai l abl e from the Fl ori da

Department of Env i ronmental Regul at i on the Un i vers i ty of Fl ori da Aquati c

Weed Program and the U S Fi sh and Wi l d l i fe Servi ce

2-1

I I C PRODUCT

After rev i ew each publ icat i on was cited keyworded and annotated

u s i ng ARTF I LE vers i on 3 02 software for l i brar i es and b i bl i ographic

storage

Two outputs were devel oped from the comp i l ed i nformat i on 1 )

annotated c i tation s of each i nd i v i dual report and 2 ) Lake Fact Sheets

wh ich summari ze ava i l abl e i nformat i on on a spec i fic top ic requested by

members of t he study team Lake Fact Sheets and keyword b i bl i ographies

were d i stri buted t hroughout the course of the study as requested by

i nd i vi dual project members Lake Fact Sheets and a key word l i st

fol l ow Annotated c i tat i ons appear i n Append i x 2 A

2-2

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on AQUATIC PLANTS

Entri es i n Bi bl i ography 69

( For more deta i l s on spec i fic top ics pl ease see other fact sheets i e

hydri l l a b i omass harvest i ng etc )

Types of stud i es noted

- -Aquat ic pl ant ecol ogy (Moss 1980 23 Lugo and Snedaker 1971 113

Bl ackburn n 11 1968 128 Canfi el d et J 1983 260 Cassan i and

Caton 1985 352 Marshal l 1984 386)

- -Informat i on on aquat i c pl ant communi t i e s as habi tat (Wi l ey etI 1984

34 Durocher niI 1984 38 Mi l l eson nI 1980 40 Watki ns et I

1983 45 Ager and Kerce 1974 190 Sav i no et il 1985 196 Richard

n iI 1985 262)

- -Aquatic pl ant and sed i ment rel ati onsh i ps (Engel and N ichol s 1984 44

Barko and Smart 1986 106 Barko et 11 1983 147 L i et I 1974

108)

- -Aquat i c p l ant management ( Fl or ida DER nI 1986 415)

- - Nutrjent removal by aquat i c pl ants ( Reddy and DeBusk 1985 132)

- -Stud i es on harvest i ng aquat i c pl ants and the effects of harvest i ng

( Carpenter and Adams 1978 17 Sabol 1987 37 Mi ko l 1985 41

Wi l e 1978 57 Neel n 11 1973 114 N ichol s 1974 115

Smal l et

I 1985 130 Wi l e 1975 135)

- -Stud i es on chemical and other control s of aquat i c pl ants ( H i l t i bran n

J 1972 105 Ganstad 1978 110 deNoyel l es and Kett l e 1980 118

M i l on n 11 1986 119 Smal l et I 1985 130 Sutton and Vand i ver

1986 139 Lesl i e and Kobyl i nsk i 1985 255 Langel and and DeMont

1986 227 Barrett 1981 342 Barrett and Murphy 1982 344 Cl ayton

and Tanner 1982 355 Frank and Comes 1967 364 Graham 1976 369

Hughes and McCol l 1980 377 Richard et I 1984 426)

- -Aquat i c pl ant chem i s try and phys i ol ogy ( LaLonde 1970 107 Gerl off

1978 111 Gerl off 1973 112 Bri stow and Wh i tcombe 1971 136)

- - Chl orophyl l a concentrat i ons and aquat i c macrophytes ( Canfi e l d et I

1984 263)

2-3

Produced by Mote Marine Laboratory for South Florida Water Management District

- -B i omass stud i es and methods ( Schl oesser and Manny 1984 14 Mace i n a

J il 1984 33)

- -Uses for aquat i c weed s such as cattl e s i l age ( Bagnal l n l 1978

18) and compost (Wi l e g1 Jl 1978 19)

--Stud i es concern i ng Hydrilla vertic1llata ( Bagnal l 1980 18 Bol e and

Al l an 1978 15 P i erterse J il 1984 42 Bruner and Batterson 1984

43 Bowes 11 il 1979 47 Sutton 1982 52 Sutton and Port i er 1985

53 Sutton and Port i er 1983 57 McGhehee 1979 57 Bal c i unas 1985

116 Mart i n 1983 146 Johnston n Jl 1983 36 Canfi el d et l

1983 265 Mace i n a and Shi reman 1982 281 Hodgson and Carter 1982 423)

2-4

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fa c t She e t on BIOMASS

Entri es i n B i bl i ography 14

Types of stud i es noted

- -A troph i c state i ndex for l akes based on al gal bi omass (Carl son 1977

2)

- -Chl orophyl l -b i omas s - nutri ent rel ati onsh i ps for phytopl ankton (Canfi el d

et gl 1985 4)

--An assessment of bi omass control for water qual i ty management (Wong et

li 1979 9) --Methodol og ies for est imat i ng or measuri ng bi omass (Schl oesser and

Manny 1984 14 Mace i na g1 li 1984 33)

--Effects of harvest i ng or other weed control methods on aquat i c

vegetat i on b i omass (Mi kol 1985 41 Wi l e 1978 57 Cassani and Caton

1985 352 Hughes 1974 378 Sch i l l er 1983 398)

--B i omass measurements rel ati ng seasonal and b i otype vari at i ons i n

Hydr i l l a (Bowes et 11 1979 47 Steward 1987 408)

--Seasonal b i omas s of sel ected spec i es (Bowes et li 1979 47 Dewey et

l 19a1 266)

SUMMARY

Several stud i es use b iomass as a measure of aquat i c pl ant control

and as part of overal l assessments of water qual i ty management Mi ko 1

(1985) uses total pl ant bi omass measurements to asses s the effects of

mechan i cal harvesti ng on aquat i c vegetati on Wi l e (1978) al so presents

bi omass data as part of an assessment of envi ronmental effects of

mechan i cal harvesting Cassine and Caton (1985) asses s the same for

chem i cal and b i ol og i cal weed control Mace i na et li (1984) present a

method for est i mat i ng submersed pl ant bi omass by us i ng a record i ng

fathometer The i r data showed that the tech n i que i s not equal l y rel i abl e

for al l water bod i es However accurate b iomass determi nat i ons cou l d be

obt ai ned i f fathometer traci ngs are cal i brated w i th actual b i omas s data

Add i t i onal b iomass data for aquat i c p l ants are presented by Hughes

2-5

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

( 1974) Sch i l l er ( 1983 ) and Steward ( 1987 ) Bowes n il ( 1979) and

Steward ( 1987 ) present bi omass data for Hydri l l a i n Fl ori da

Canfi e l d et il ( 1985 ) address chl orophyl l - bi omass - nutri ent

rel at i onsh i ps for n atural assembl ages of Fl ori da phytopl ankton Carl son

( 1977 ) presents a troph i c state i ndex for l akes and uses al gal b i omass as

a parameter for the i ndex

2-6

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STU DY

Fact Sheet on D IQUAT

Entr i es i n B i bl i ography 84

Types of stud i es noted

- -Taxi c i ty data ( Mayer and El l ers i eck 1986 270 Berry and Schreck

1976 346 Funderburk and Lawrence 1967 366 Howe and Wri gt 1965

376 Kam W i ng and Furtado 1977 381 Naqui et Ai 1980 390)

- - Effects of d i quat on aquat i c commun i t i es ( H i l t i bran I 1972 105

Berry sl 1964 347 Cas san i and Caton 1985 352 Cal derban k 1972

351 C l ayton 1986 356 Dan i el 1972 358 G i l derhus 1967 368

Haag 1986 370 H i l senhoff 1966 372 Hughes and McCol l 1980 377

Joyce and Thayer 1986 379 Marshal l 1984 386 M i chaud 1979 387)

- -General chem i cal control gu i des and control of spec i fi c aquat i c

pl ants (Abery 1986 339 Barrett 1981 342 Barrett and Murphy 1982

344 Barrett and Logan 1982 345 Chevron Chemi cal Corp 1978 354

Hi l t i bran 1971 373 H i mel n li 1981 375 Ki l l gore 1984 383

Mac kenz i e 1966 385 Mobl ey n il 1971 388)

- -Di quat accumul ati on i n pl ants and sed i ments ( B i rmi ngham and Colman

1983 348 Dav i s and Seaman 1968 359 Frank and Comes 1967 364

Langeland and Warner 1986 384)

- - Experi mental data on herb i c i de treatments (Bri t i sh Col umbi a 1975

350 Clayton and Tanner 1982 355 Dunn et I 1983 362 Hal l er

1982 371 K i l l gore 1981 382 Newroth and L i m 1980 392)

- -Di quat u se wi th other types of control s (Charudattan 1986 353 Frank

AI 1979 365 Ganstad 1986 367 Graham 1976 369 Newroth

1974 391)

SUMMARY

I n add i t i on to the above noted stud i es three l i terature summari es and

rev i ews prov ide good i nformat i on on d i quat stud i es

Joyce and Ramey (1986) prov ide a good annotated rev i ew of 1 i terature

concern i ng research on the fate of aquat i c herb i c i de s i n water w i th

emphas i s on Fl ori d a s freshwater ecosystems Tucker (1980) rev i ews 50

c i tat i ons on d i quat c i tat i ons and prov ides a deta i l ed summary on the

2-7

Produced by Mote Marine Laboratory for South Florida Water Management District

foll ow i ng aspects of d i quat env i ronmental chemi stry adsorpt i on by so il

and cl ay mi neral s aerob i c and anaerob i c soi l stud i es soi l stud i es under

fi el d cond i t i ons aquat i c studi es soi l l eaching stud i es rotat i onal crop

stud i es photochem i cal degradat i on stud i es and mi croorgan i sm stud i es

Langel and and DeMont ( 1986 ) prov i de a thorough rev i ew of the l i terature

on the detect i on tox i c i ty and pers i stence of d i quat endotha1 1 and

f1 uri done They al so present speci fi c data on stud i es of the pers i stence

of d i quat endothal l and f1 uridone i n North Carol i na ponds and water

movement patterns i n Lake Wheel er North Carol i na

2-8

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on EUTROPHICATION

Entr i es i n Bi bl i ography 12

Types of stud i es noted

- -Eval uati ons of nutri ents i n eutroph i c l akes (Canfi el d 1983 5

Schi ndl er 1971 131 Michaud n ll 1979 387 Lee and Jones 1980

175)

- -Aquati c pl ant probl ems i n eutroph i c l akes (Graham 1976 369 Hughes

and McCol l 1980 377)

--Assess i ng eutroph i cati on based on water qual i ty stud i es ( Federi co et

Al 1981 67)

--Troph i c structure assessments and changes i n eutroph i c l akes ( Gayl e

1975 181 US Envi ronmental Protect i on Agency 1975 161)

SUMMARY

A number of stud i es address eutroph i cati on i n Lake Okeechobee

US Env i ronmental Protect i on Agency (1975 161) reports on Lake

Okeechobee as part of the Nat i onal Eutroph i cat i on Survey and a number of

state gency commi ttee stud i es and eng i neeri ng reports provi de anal yses

of Lake Okeechobee eutroph i cati on (MacGl l n AI 1976 174 Bl ack Crow

Ei dsness Inc 1976 185 Lee and Jone s 1980 175)

Us i g seven years of water qual i ty data Federi co et it 1 (1981

67) i dent i fy annual and seasonal l mnet i c water qual i ty trends exami ne

the re l at i o n s hi p to t r i but ary i n fl ow s i d en tify trends and

quali tyd i scharge rel ati onsh i p s cal cul ate annual l ake materi al budgets

for each year and assess the trophi c status of the 1 ake Gayl e (1975

181) presents a systems model for understanding eutrophicat i on i n Lake

Okeechobee

2-9

Produced by Mote Marine Laboratory for South Flori da Water Management District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on HARVESTING

Entr i es i n B i bl i ography 15

Types of stud i es noted

--Effects of harvesti ng aquat i c pl ants on nutr i ent removal ( Bol e and

Al l an 1978 15 Wi l e 1978 57 Neel et AI 1973 114)

--Compari sons of mechan ical and b i ol og i cal harvest i ng wi th herbi c i de

control ( Carpenter and Adams 1978 17 Smal l et AI 1985 130

Sch i l l er 1983 398)

--Di sposal of and uses for harvested hydri l l a ( Bagnal l et AI 1978 18

Sabol 1987 37)

--Harvest i ng effects on aquat i c fl ora and fauna (Mi kol 1985 41 Wi l e

1978 57 N i chol s 1974 115 Wi l e 1975 135 Schramm et AI 1985

212 Lesl i e and Kobyl i nsk i 1985 255)

- - Economi c s of mechani cal harvest i ng (McGhehee 1979 57)

- - Phys i cal propert i es of hydri l l a for harvesti ng ( Bagnal l 1980 59)

SUMMARY

Most of the stud i es address the effects of mechan i cal ly harvest i ng

aquat i c pl ants Bol e and Al l an (1978) report that the harvest i ng of

Hydr i l la vert i c illata woul d result i n the d i rect transfer of onl y a smal l

amount of phosphorus i n the soi l i nto the water and the organ i cal l y-bound

phosphorus removed i n harvested pl ants woul d be deri ved l argely from the

sed i ment and not the water body W i l e (1978) and Neel n AI (1973)

present data and anal yses on l ake nutri ent dynam i cs resul t i ng from

harvest i ng aquat i c pl ants W i l e (1978) al so presents data on al gae

phytopl an kton fi sh and water qual i ty changes

A number of other stud i es address harvest i ng affects on fl ora and

fauna Mi kol (1985) reports that harvest i ng pl ants al so removed from 2-

8 of the total stand i ng crop of juven i l e fi sh Lesl i e and Kobyl i ns ki

(1985) address benth i c macro i nvertebrate response to aquat i c vegetat i on

removal wh il e Sabol (1087) addresses the env i ronmental effects of aquat i c

d i sposal o f chopped hydr i l l a

2-10

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

Compar i sons of mechan i cal harvest i ng and herbi c i des address

phosphorus cycl i ng (Carpenter and Adams 1 978) and Smal l et Jl ( 1 985)

report that herbi c i des reduced aquat i c vegetat i on but d i d not el i mi nate

i t Us i ng grass carp as bi ol og i cal control s el im i nated or red uced the

vegetat i on depend i ng on the stocki ng rat i o ( Smal l et AI 1985 )

2-11

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fact Sheet on Hydrjlla vertic11l ata

Entri es i n B i bl i ography 37

Spec i fi c stud i es on hydri l l a i n Lake Okeechobee i ncl ude a

compari son of dens i ty data for Lake Okeechobee and three other areas of

Fl ori da wi th stud i es spec i fi c to the speci a l i zed reproducti ve structures

of hydri l l a (Sutton and Port i er 1985 53) and an ana lys i s of potass i um

n i trogen and phosphorus content i n hydri 11 a from Lake Okeechobee and

three other areas of Sout h Fl ori da ( Sutton and Porti er 1983 56)

Pl ants from Lake Okeechobee had the h i ghest concentrat i on s of each

Other types of stud i e s on hydri l l anoted

--Phys i cal and mechani cal propert i es of hydri l l a (Bagnal l 1980

59)

--Nutri ent uptake stud i es of hydri l l a (Bol e and Al l an 1978 15)

--Us i ng hydri l l a for s i l age ( Bagnal l et Al 1978 18)

--Methods for determi n i ng or est i mat i ng pl ant biomass (Maceina et

li 1984 33)

--Growth reproduct i on and l i fe hi story of hydril l a ( Langel and and

Sutto 1980 35 Bruner and Batterson 1984 43 Spencer et li 1987

48 Sutton 1982 52)

--Habi tat i mportance and ecol ogy of hydril l a communit i es and

al terations to hydril l a communities (Watkins et li 1983 45middot

Bowes et

li 1979 47 Bl ackburn et li 1968 128 Sutton and Vandiver 1986

139 Can f i el d n Al 1983 265 Mace i na and Sh i reman 1982 281

R i chard i1 Al 1985 396)

--Biol ogical control s of hyd ri l l a (Bal ciunas and Minno 1985 46

Bal ciunas 1985 116 Johnston et li 1983 36 Cas sani and Caton

1985 352)

--Mechanical control s of hydril l a (McGhehee 1979 57)

--Chemical control of hydri l l a (Martin 1983 146 Cassani and

Caton 1985 352 Frank et li 1979 365 Hughes 1974 378 Small et

Al 1985 404 Steward 1972 405 Steward 1982 406 Steward 1976

407 Steward 1987 408 Van 1985 419 Van et Al 1987 420)

2-12

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

SUMMARY

Most of the stud i es deal w ith ways to control Hydr i l l a

verticilJata as a nui sance weed The effects of harvest i ng Hydri l l a i s

frequent l y addressed wi th mi xed resul ts Bol e and Al l an ( 1978) report

that the harvest i ng of Hydri 1 1 a woul d resul t i n the d i rect transfer of

onl y a smal l amount of phosphorus in the so i l i nto the water and the

organ i cal ly-bound phosphorus removed i n the harvested pl ants woul d be

deri ved l argel y from the sed i ment and not the water body

Johnston g1 il ( 1 983 ) report on the recol oni zat i on of a smal l pond

wi th aquat i c vegetat i on where grass carp have been used to control

Hydrill a They demonstrate the feas i b i l i ty o f reduc i ng the compet i t i ve

advantage of Hydri l l a i n order to l l ow other spec i es to become

establ i shed but al so note that care must be exerc i sed i n sel ect i ng

repl acement spec i es Other aquat i c pl ants may grow as prol i fi cal l y as

the Hydri 1 1 a bei ng repl aced

Sabol ( 1 987) and Langel and and Sutton ( 1 980 ) report on the

regrowth of fragmented Hydri l 1 a w i th confl i ct i ng resul t s In f iel d

stud i es Sabol ( 1 987) tested the re -growth potent i al of chopped Hydri 1 1 a

and found that a very smal l port i on of fragments cou1 d produce new

g rowth Conversely Langel and and Sutton ( 1980 ) under control l ed

l aboratory and f i e l d cond i t i ons demonstrated that 40 of the pl ant

fragments wi th one or two nodes were capabl e of vegetat i ve reproduct i o n

Bagnal l 11 il ( 1984 ) eval uated the feas i b i l i ty o f us i ng Hydri l 1 a

for cattl e feed and Macei na 1 il ( 1 984 ) present a method for pred i cti ng

pl ant b i omass us i ng a record i ng fathometer

2-13

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on N ITROGEN

Entri es i n B i bl i ography 27

Types of stud i es noted

- - Land userunoff rel at i onsh i ps w i th nutri ents i ncl ud i ng n i trogen

( Feder i c o 1 977 3 )

- - Nutri ent i n fluences on aquat i c pl ants and phytopl ankton (Canfi el d et

li 1985 4 Can fi el d 1 983 5 Davi s 1980 20 Dav i s 1 982 27

P i eterse 1 984 42 Sutton and Port i er 1 983 56 Bl ac kburn et il

1 968 1 28 Reddy and DeBus k 1 985 13 2 Jones and Federi co 1 984 1 )

- - Water qual i ty stud i es that i ncl ude nitrogen parameters ( Lutz 1 977a

7 Lutz 1 977b 16 M i l ler 1 980 20 Mi l l er et li 1982 26 Dav i s

and Marshal l 1 975 65 Peverl y and Johnson 1 979 394 Jones 1 983

9 )

- - Nutri ent rel at i onsh i ps w i th the troph i c structure of l akes (Henri kson

11 il 1 980 32 Dye 11 il 1975 138)

- - N i trogen and other water qual i ty data for Lake Okeechobee ( Di c kson et

li 1978 66 Davi s and Marshal l 1975 65 Federi co g1 li 1981 67

Fre i betger 1972 69 Mi l l er 1975 70 Jones and Federi co 1984 1

Jones 1 983 9)

- -N i t rogen i nputs and l ake eutroph i cat i on ( Sch i ndl er 197 1 13 1

Feder i co et il 1981 67 Canfi el d 1 983 5 )

- -Den i tri ficat i on i n Lake Okeechobee (Messer et li 1979 1 43 Messer

and Brezon i c 1 984 1 58)

- -Geochemi cal exchanges across the sed i ment -water i nterface ( Burton et

il 1975 1 45 Messer and Brezon i c 1984 158 )

- -Model s pred i ct i ng n i t rogen concentrat i ons (Jones 1983 9 )

SUMMARY

Several stud i es prov i de data on n i trogen for Lake Okeechobee

(M i l l er 1 980 20 Di c kson et li 1978 66 ) Many of these prov ide

n i trogen data as part of l arger studies for i nstance Federi co et li

( 1981 67 ) summari ze seven years of water qual i ty data i n order to

ident i fy annual and seasonal trends cal cu l ate annual budgets and assess

2-14

Produced by Mote Marine Laboratory for South Florida Water Management District

the troph i c state of the l ake Two stud ies ( Fre i berger 1 972 69

Mi l l er 1 97 5 70) i ncl ude lake Okeechobee as part of l arger wet and dry

season nutri ent surveys of South Fl ori d a

Jones ( 1 983 9 ) eval uates the qual i ty o f d i scharges t o Lake

Okeechobee nutr i ent concentrat i ons affects of var i ous changes i n l ake

l evel s and the abi l i ty of var i ous model s to accuratel y pred i ct n i trogen

and phosphorus concentrat i ons Jones and Federi co ( 1984 I) al so apply

nutr i ent model smiddot to Lake Okeechobee Dav i s and Marshal l ( 1 975 65)

present i nformat i on on areal and seasonal vari at i on s of n i trogen l evel s

nutri ent l oad i ngs and budgets for Lake Okeechobee and other chemi stry

d ata

Sutton and Port i er ( 1 983 56) eval uate the potass i um n i trogen

and phosphorus content of Hydri l l a from fi ve l ocat i on s i n South F l ori da

Sampl es were eval uated for wi th i n 1 ocat i on vari abi l i ty and for between

l ocat i on vari abi l i ty and resul ts showed that pl ants from lake Okeechobee

had h i gher concentrat i ons of nutri ents than pl ants from other areas

2-15

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHOSPHORUS

Entr ies i n Bi bl i ography 135

Phosphorus stud i es speci fi c to Lake Okeechobee i ncl ude

- -An anal ys i s o f the effect o f reduced nutri ent l oad i ngs on Lake

Okeechobe chl orophyl l (Jones and Feder i co 1984 )

- -An eval u at i on of the qual i ty of d i scharges to l ake nutri ent

concentrat i on s (Jones 1983 )

- -An analys i s of the abi l i ty of vari ous model s to accurately pred i ct

phosphorus concentrat i on s (Jones 1983 )

- -A comp ari son of phosphorus content i n hydri l l a from Lake Okeechobee and

four other l ocat i ons (Sutton and Porter 1 983 )

- -Aer i a 1 and seasonal vari at i ons of phosphoru s 1 eve 1 s i n Lake Okeechobee

(Davi s and Marshal l 1975 )

-A survey of total ortho p l us aci d - hydrol yzabl e phosphorus ( P- P04)

dur i ng a peri od of h igh water and a peri od of l ow water at 1 1 stat i on s i n

Lake Okeechobee and several stat i ons el sewhere i n South Fl or1 da

(Fre i berger 1972 )

- -An anal ys i s of l i mi t i ng factors based on al gal assays on water sampl es

from 30 s i tes i n the Ki s s i mmee R i ver- Lake Okeechobee Bas i n (Dye tl AI

1 975 )

- - Stud i es on nutri ent exchange across the sed i ment-water i nterface

(Burton et il 1975 )

Add i t i onal l y spec i fi c phosphorus d ata for Lake Okeechobee and i t s

watershed are presented i n a number o f reports (Jones and Feder i co 1984

Jones 1983 Mil l er 1980 Davi s and Marshal l 1975 Fre i berger 1 972

Messer et il 1 979 Dye et il 1975 Burton et Al 1975 Lee and Jones

1975 Lutz 1 977 Mi l l er et il 1982 Di ckson et Al 1978 M i l l er 1975)

Regard i ng management pl an s for phosphorus l evel s t he Lake

Okeechobee Techni cal Commi ttee ( 1 986 ) recommended to reduce phosphorus

l oads by at l east 40 (based on the mod i fi ed Vol l enwe i der nutri ent

l oad i ng model s ) through a program of d i vers i ons and treatment

2-16

Produced by Mote Marine Laboratory for South Florida Water Management District

Stud i es out s i de the lake Okeechobee area wh i ch prov i de i nformat i on

val uabl e to the study of phosphorus i ncl ude

- - Uptake of phosphorus from sed i ment and the water col umn by pl ants ( Bol e

and Al l an 1978 Dav i s 1984 Dav i s 1982 Reddy and DeBus k 1985 Dav i s

and Harri s n d li i1 Al 1974)

- -The i nfl uence of 1 and use patterns and other control s on phosphorus

l evel s ( Federi co 1977 Mi chal ski i1 Al 1975)

- -The correl at ion of nutri ent l evel s w i th chl orophyl l and phytopl ankton

l evel s ( Canfi el d i1 Al 1985 )

- - I ndexi ng and model l i ng techn i ques for l akes us i ng phosphorus and

rel ated data ( Carl son 1977 Canfi el d 1983 Meri cas and Mal one 1984)

- - Data on removal of phosphorus by mechan i ca l l y harvest i ng pl ants

( Carpenter and Adams 1978 Wi l e 1978 )

- -Rel ati on sh i p between nutri ents and b i ol og i cal parameters ( Henri kson g1

Al 1980 Pi eterse 1984 Enn i s 197 5 Re i nertsen 1 986 )

- - Phosphorussed i ment i nteract i ons (Twi nch and Peters 1984 li et li

1 97 1

- -laboratory and other control l ed stud i es on the propert i es of phosphorus

( Shannon and lee 1966 li et li 197 1 )

--Other l i terature stud i es ( Sch i ndl er et Al 197 1 )

2-17

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet on PHYTOPLANKTON

Entr i es i n B i bl i ography 8

Types of stud i es noted

- - Phytopl ankton stud i es for Lake Okeechobee (Marshal l 1977 1 2 Dav i s

and Marshal l 1975 65 Marshal l 1977 424 Jones and Federi co 1 984

1 )

- - Phytopl anktonnutri entl ake eutroph i cat i on rel at i onsh i ps (Canfi el d et

AI 1985 4 Sch i ndl er 1971 13 1 Hughes and McCol l 1 980 377 Jones

and Federi co 1 984 1 )

- - Phytopl ankton pri mary producti on methodol ogy ( Schearer et AI 1985

278)

--Phytopl ankton responses to aquat i c pl ant removal (R i chard et AI 1985

426)

SUMMARY

Dav i s and Marshal l ( 1975 65) present 2 - 12 years of

phytopl an kton dens i ty data for Lake Okeechobee as wel l as i nformat i on on

n i trogn and phosphorus l evel s ( areal and season al vari at i on s ) pri mary

product i v i ty changes in al gal popul at i on s nutr i ent l oad ings and

budgets ra i n fal l chemi stry dat a regress i on anal yses on bi ol og i cal

act i v i ty and chemi cal or phys i cal propert i e s and trophic state

Marshal l s ( 1 977 1 2 ) phytopl ankton dens i ty data for 1974 show peaks i n

May and September i n Lake Okeechobee Marshal l concl udes that Lake

Okeechobee exh i b i t s seasonal patterns and peri od i c i ty typ i cal of

temperate l akes al though the seasonal vari at i on i n den s i t i es i s typi cal

of a trop i cal l ake

Jones and Federi co ( 1984 1 ) present over four years of d ata on

chl orophyl l a pri mary product i v i ty phytopl ankton dens i t i es and domi nant

species They al so an al yze the effect of reduced nutri ent l oad i ng s on

L a ke Okeechobee chl orophyl l and concl ude that chl orophyl l and

product i v i ty l evel s have not changed substanti al l y dur i ng the study

peri od except that peak val ues were h i gher i n 1981

2-18

Produced by Mote Marine Laboratory for South Florida Water Management District

Canfi el d n li ( 1985 4) col l ected data from 165 Fl ori da l akes

and reported a s i gn i fi cant correl at i on between chl orophyl l a

concentrat i ons and phytopl ankton bi omass Mul t i pl e repress i on anal yses

i nd i cated that phytopl ankton bi omass was dependent on both the total

phosphorus and total n i trogen concentrati on Nutri ent-phytopl ankton and

Secch i - phytopl ankton rel ati onsh i ps for the Fl orida l akes had h i gher

coeffi c i ents of determi nat i on i f chl orophyl l a concentrat i ons rather than

bi omass data were used

2-19

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY Fa ct Sheet on PRIMARY PRODUCTIVITY

Entries in Bibl iography 11

Types of studies noted

- -General ecol ogy studies incl uding primary productivity (Fontaine and

Ewe l 1981 31)

- -Trophic studies of l akes (Henrikson it 11 1980 32)

--Nutrient infl uences on primary productivity (Davis and Harris no date

141)

- -Primary production methodol ogy (Shearer l1 11 1985 278)

--Primary production data in Fl orida (Odum 1974 169 Brezonic et 11

1979 155 Jones and Federico 1984 1 Davis and Marshal 1975 65

Marshal l 1974 424)

- -Seasonal primary productivi ty cycl es (Comita 1985 1195 Marshal l

1974 424)

SUMMARY

Severa 1 stud i es concern primary production in Lake Okeechobee

Brezonjc l1 11 (1979 155) report to the Fl orida Sugar Cane League on

factors affect i ng primary product ion n Lake Okeechobee Jones and

Federico (1984 1) present primary productivity data on Lake Okeechobee

for 1974-76 and 1979-82 as wel l as information on chl orophyl l a

phytop 1 ankton dens i ties and domi nant spec 1 es and an anal ys s of the

effect of reduced nutrient l oadings Their report concl udes that

ch l orophyl l and productivity l evel s have not c hanged substantial l y during

the study period except for peak val ues that were higher in 1981 and

overal l val ues were higher In the Lake s north end Marshal l (1974

424) add resses seasonal changes for primary productivity and

phytopl ankton He concl udes that considering primary productivity and

other factors Lake Okeechobee phytopl ankton dynamics resembl e temperate

l akes Davis and Marshal l (1975 65) present over two years of data on

chemical and biol ogical investigations of Lake Okeechobee incl uding

primary productivity

2-20

Produced by Mote Marine Laboratory for South Florida Water ManaQement District

LAKE OKEECHOBEE AQUATIC WEED DEMONSTRATION STUDY

Fact Sheet o n SED IMENTS

E ntr i es i n B i bl i ography 21

Types of stud i es noted

Most of the stud i es i nvol ve sedi ment nutr i ent ava i l abi l i ty fl uxes

and uptake by pl ants These i ncl ude reports on

-- Laboratory experiments to determi ne phosphorus uptake from the

sed i ments by Myri ophyl l ym and Hydri l l a ( Bol e and Al l an 1978 1 5 )

- - Phosphate exchange i n l ake sed i ments (Twi nch and Peters 1984 295 L i

et l 197 1 1 49 li Al 1973 )

- -Ava i l ab i l i ty of sedi ment phosphorus for macrophytes ( L i et l 1974

108)

- - Phosphorus fl uxes i n south Fl ori da marshes (Dav i s and Harri s no date

143 )

- -The i mportance of den i tr i fi cati on i n lake Okeechobee (Messer et l

1979 1 43 )

- -Geochemi cal exchanges across the sed i ment -water i nterface i n the

Ki s s i mmee Ri ver- Lake Okeechobee watershed ( Burton g1 l 1975 145)

- - lak sed i ment den i tri f i cat ion model s (Messer and Brezon i c 1 984 1 58)

There are al so a number of stud i es concern i ng the rel at i onsh i p of

sedi ment type and other factors to pl ant growth ( Bruner and Batterson

1984 43 Mart i n 1983 146 Barko et il 1983 147 Engel and

N i chol s 1 984 44 Barko and Smart 1986 106) pest i c i de and other

chemi cal res i dues i n sedi ments ( Pfeuffer 1985 298 Hughes and McCol l

1980 377 S i ms i man and Chesters 1976 402 )

SUMMARY

BUrton et l ( l979) documents the rol e of sed i ments i n determi n i ng

water qual i ty i n the Ki s s immee Ri ver-lake Okeechobee watershed wi th an

emphas i s on nutri ent exchange across the sed i ment -water i nterface They

a l so prov ide survey i nformat i on on sediment d i str i but i on and transport

Mes ser et l ( 1979) summari zes the i mportance of den i tr if i cat i on i n lake

Okeechobee i ncl ud i ng a d i scuss i on on the rol e of sedi ments i n the

2-21

Produced by Mote Marine Laboratory for South Florida Water Mana ement District

den i tr i fi cat i on process

eval uat i on o f l ake sed i ment

Lake Okeechobee

Messer and Brezon i c ( 1 984 ) present an

den i tri fi cat i on model s and i ncl ude data from

Dav i s and Harri s ( n d ) provi de est i mates of phosphorus fl uxes

wh i ch d i rectly contri bute to uptake through pl ant growth and to retent i on

through pl ant detri tus sed i mentat i on for the Evergl ades Conservat i on Area

2

2-22

LAKE OKEECHOBEE LITERATURE REVIEW

LIST OF KEY WORDS

ABUNDANCE ( 2 ) ADSORPTION ( 2 ) AGE (1) AGRICULTURE (1) ALGAE (14) ALGAL BIOASSAY (1) ALGICIDES ( 2 ) ALKALI N I TY (1) ALKALOIDS (1) ALTERNANTHERA ( 2 ) ALTERNATHERA (1) AMMONIA (1) AMPH I PODS (1) ANALYSIS OF COVARIANCE (1) ANIMAL BEHAVIOR (1) ANIMALS ( 2 ) AQUATHOL (1) AQUATIC PLANT CHEMISTRY (1) AQUATIC PLANTS (76) AQUATIC ORGANISMS ( 2 ) AQUATIC ( 1 ) AQUIFER ( 2 ) ARGULUS ( 1 ) ARTHROPODS ( 1 ) ATHERINE FISH (1) BACKPUMPING ( 2 ) BACTERIA ( 3 ) BASS (18) BEACH HAB ITATS ( 2 ) BEHAVIOR ( 2 ) BENTHOS (9 ) BEST MANAGEMENT PRACTICES (1) B IOACCUMULATION (1) BIOASSAY (1) BIOLOGICAL CONTROL (8) BIOLOGY ( 6 ) BIOMASS (15) BIOTIC ASSESSMENT (1) BIOTYPES (1) BIRDS ( 2 ) BLACK CRAPPIE (19) BLACK BULLHEADS (1) BLUEGILL ( 1 2 ) BODY FORM ( 2 ) BREEDING (1) BROMAC I L (1) BROOK SILVERSIDE (1) CABOMBA (1)

2-23

CADDISFLIES (1) CADMIUM (1) CALLITRICHE (1) CALOOSAHATCHEE RIVER (5) CANALS ( 2 ) CARBON (1) CARBONATE ROCKS (1) CARBOXYLASE (1) CAREX (1) CATTAI LS (1) CATTLE FEED (1) CENTRARCHIDS (5) CERATOPHYLLUM (5) CHAIN PICKEREL ( 1 ) CHANN ELS ( 1 ) CHAOBORUS (1) CHARA ( 6 ) CHEMICAL CONTROL ( 66 ) CHEMISTRY (10) CHIRONOMID LARVAE (1) CHIRONOMIDS (1) CHLORIDE (4) CHLORINATED HYDROCARBONS (1) CHLOROPHYLL (11) CLADIUM ( 2 ) CLASSIFICATION (1) COEFFICIENT OF DETERMINATION (1) COMMERCIAL FISHERY (2 ) COMMUNI TIES (1) COMMUNITY STRUCTURE ( 7 ) COMPETITION ( 3 ) COMPOST (1) COMPUTER MODELS (1) CONFINING BEDS (1) CONTOUR MAPPING (1) CONTROLLED RELEASE (1) COPEPODS (1) COPPER ( 9 ) COPPER SULFATE (1) CORE SAMPLER (1) COST BENEFIT ANALYSIS (1) CRUSTACEANS ( 2 ) CTENOPHARYNGODON IDE (2 ) CULTURAL CONTROL ( 2 ) CYANATRYN (1) DALAPON (4) DEGRADATION ( 3 ) DEMOGRAPHY (1)

DENITRIFICATION (1) DENSITY (6) DESORPTION (1) DETENTIONRETENTION ( 1 ) DETRITUS (1) DEVELOPMENT (2) DIATOMS (1) DICHLOBENIL (2) DIPOTASSIUM ENDOTHAL ( 1 ) DIQUAT (89) DISCHARGE ( 1 ) DISPERS ION (1) DISSOLVED OXYGEN (14) DISSO LVED SOLIDS (2) DISTRIBUTION (16) DIURNAL (1) DRAINAGE (4) DREDGING (1) DYSTROPHIC (1) EARLY DEVELOPMENT (2) ECOLOGY (15) ECONOMIC ANALYSIS (1) ECONOMICS (1) ECOSYSTEM (1) EFFLUENT REDUCTION (1) EFFLUENT (1) EGERIA (6) EICHHORNIA (13) ELODEA (20) EMBRYO ( 1 ) ENDOTHAL-POTASSIUM ( 1 ) ENDOTHALL (20) ENTRAINMENT (2) EPIPHYTES (1) EUTROPHICATION (12) EVERGLADES ( 9 ) EVERGLADES COUNTY (1) EXOGENOUS FEEDING (2) EXPLORATION (2) FAUNA (2) FEEDING ( 9 ) FEEDING RELATIONSHIPS (2) FENAC (5) FIRST YEAR SURVIVAL ( 1 ) FISH (130) FLOOD CONTROL (1) FLOODING ( 1 ) FLORIDA (31) FLORIDA EVERGLADES (1) FLORIDA LAKES (4) FLORIDA DUCK (1) FLORIDAN AQUIFER (2)

2-24

F LOW RATES (1) F LURIDONE (9) FOOD CHA I NS (1) FOOD HABITS (2) FOOD (6) FORAGE ( 1 ) FORAGING ( 1 ) FREQUENCY ANALYSIS (1) FRESHWATER SPECIES (1) FRESHWATER DISCHARGE ( 1 ) FRESHWATER (27) FRESHWATER MARSH (1) GEOLOGY ( 9 ) GERMINATION (1) GIZZARD F I SH (1) GIZZARD SHAD (2) GLADES COUNTY (9) GLYPHOSATE ( 6 ) GRAPNEL SAMPLER (3) GRASS CARP (8 ) GREAT BRITAIN ( 6 ) GROUNDWATER (5) GROWTH (11) GROWTH INHIBITORS (1) HABITAT (2) HABITAT PARTITION ING (1) HARVESTING (7) HAUL SEINE ( 1 ) HENDRY COUNTY (9) HERBICIDES (47) HEXAZINONE ( 1 ) HIGHlANDS COUNTY (1) HISTORY (3) HOST SPECIFICITY (1) HYDRILLA (42) HYDROCARBONS (1) HYDROCOTYLE (1) HYDROGEOLOGY (2) HYDROLOGY (17) HYDROPERIOD CHANGES (1) HYGROPHILA (1) HYPERmiddotEUTROPHIC (1) ICHTHYOFAUNA (1) ICHTHYOPLANKTON (2) IDENTIFICATION KEY (1) IDENTIFICATION GUIDE (10) IMAZAPYR (1) IMPOUNDMENTS (3) IMPROVING CATCH (1) INDICATOR SPECIES (1) INORGANIC PHOSPHATE (1) INSECT CONTROL (1)

INSECTS (4) INVERTEBRATES (9) IRON (2) IRON CHELATE (1) IRR IGAT ION (2) ISOPODS (1) JASM INE (1) JUNCUS (2) JUVEN ILE F ISH (5) K ISS IMMEE R IVER (11) LABORATORY STUD IES (1) LAGAROS I PHON (3) LAKE LEVELS (2) LAKE WANAKA (1) LAKE CONWAY (1) LAKE OKEECHOBEE (89) LAKE DRAWDOWN (1) LAKES (75) LAND USE (6) LARGEMOUTH BASS (16) LARVAE (1) LARVAL F ISH (25) LEAF PRODUCTION (1) LEMNA (8 ) LEPOMIS (1) L IFE HISTORY ( 9 ) L IGHT INTENSITY (1) L IGHT TRAPS (1) L IMNOLOGY (2) LI MNO PH I LA (1) L ITERATURE SURVEY (5) L ITHOLOG IC ANALYSIS (3) L ITTORAL (12) L ITTORAL ZONE (9) LOTAC (3) MACRO INVERTEBRATES (12) MACROPHYTES (18) MANAGEMENT PLAN (3) MANGANESE (3) MARION COUNTY (3) MARSH PLANTS (3) MARTIN COUNTY (27) MASS BALANCE MODEL (3) MATERIAL BUDGET (3) MATHEMAT ICAL MODELLING (3) MATHEMATICAL MODELS (3) MECHAN ICAL CONTROL (15) MECHANICAL HARVEST ING (24) METHODS ( 9 ) M ICROBES (3) MICROPTERUS (6) MINERAL RETENTION (3)

2-25

MINERAL ADSORPTION (3) M INERAL NUTRITION (3) MINERALIZATION (3) M ISS ISSI PPI S ILVERSIDE (3) MODELING (6) MODELS (12) MOLLUSKS (3) MONITOR ING (15) MORPHOLOGY (3) MORTALITY (12) MOTHS (3) MOWING (3) MYOMERE NUMBERS (3) MYR IOPHYLLUM (84) MYSIDS (3) NAIDIDAE (3) NAJAS (18) NEKTON (3) NEMATODES (3) NEOCHETINA (6) NETS (6) N ICKEL (3) N ITRATES (3) N ITROGEN (81) NORTHERN P IKE (3) NUPHAR ( 9 ) NUTR IENTS (141) OCALA GROUP (3) OKEECHOBEE COUNTY (33) OKLAWAHA R IVER (3) OL IGOCHAETES (3) OLIGOTHROPHIC (6) ORANGE LAKE (3) ORGANIC MATTER (3) OSCEOLA COUNTY (3) OXYGEN (9) PALAEOLIMNOLOGY (3) PALM BEACH COUNTY (30) PAN ICUM (67) PARAQUAT (39) PARTICULATE MATTER (3) PASPALUM (3) PATHOGENS (3) PERI PHYTON (3) PERSISTENCE (9) PESTICIDES (27) PH ( 9 ) PHOSPHATE (15) PHOSPHORUS (135) PHOTOSYNTHES IS (12) PHYS IOLOGY (12) PHYTOPLANKTON (27)

PHYTOTOXICITY (3) PIKE (3) PISCIVOROUS FISH ( 6 ) PISTIA (15) PLANKTON (15) PLANNING (3) PLANT SUCCESSION (9) PLANT HARVESTING (9) PLANT ABUNDANCE ( 6 ) PLANT DENSITY (3) PLANT COMMUNITIES (9) PLANT SURVEY TECHNIQUES (9) PLANT COMPOSITION (9) PLANT NUTRITION (3) PLANT GROWTH ( 6 ) PLANT BIOMASS (3) POLLUTION (3) POLLUTION CONTROL (3) POLYCHAETES (3) POLYMER ( 6 ) POMACEA (3) POHOXIS ( 6 ) PONAR GRAB SAMPLER (9) PONDS ( 6 ) POPULATION DYNAMICS (9) POPULATION (21) POTAMOGETON (57) POTASSIUM (9) PREDATION (3) PREDATOR - PREY (15) PRIMARY PRODUCTION (36 ) PROPAGU1ES (3) PUMP STATIONS (3) PUMPING (3) RADAR (3) RADIOPHOSPHORUS (3) RAINFALL (18) RANUNCULUS ( 6 ) RATS (3) RECLAMATION ( 3 ) RECORDING FATHOMETER (3) RECRUITMENT (3) REDBREAST SUNFISH (3) REDEAR SUNFISH (3) REFERENCES (3) REGRESSION ANALYSIS (15) RELEASE RATES (3) REMOTE SENSING (3) REPRODUCTION (12) RESERVOIRS (51) RESIDUES (27) RESOURCE PARTITIONING (9)

2-26

RESPIRATION (3) REVIEW (3) RIVERS (42) RUNOFF (33) SAGITTARIA (3 ) SALVINIA (18) SAMPLING (15) SAMPLING METHODS ( 6 ) SAMPLING GEAR (3) SCIRPUS (3) SEA LEVEL RISE (3) SEASONAL EFFECTS (12) SEASONAL SUCCESSION (3 ) SEASONAL (9) SECCHI DISK (9) SEDIMENTARY ROCKS (3 ) SEDIMENTS (78) SEEPAGE (12) SEWAGE DISCHARGES (3) SHAD (15) SHINERS (3) SHOREFLIES (3) SHORELINE AREAS (3 ) SILICA (3) SILICON (3) SIZE CLASS ( 6 ) SNAILS (3) SODIUM ALGINATE ( 6 ) SODIUM (3) SOILS (9) SOUTH FLORIDA (24) SPARGANIUM (3 ) SPAWNING (21) SPECIES DIVERSITY (3 ) SPECIES COMPOSITION (3 ) SPECIFIC CONDUCTANCE (15) SPOTTED BASS (3 ) ST LUCIE ESTUARY (3 ) ST JOHNS RIVER (3 ) ST LUCIE COUNTY (3 ) STANDING CROP (15) STOCHASTIC LAKE MODELS (3 ) STORHWATER (3) STRATIGRAPHY ( 6 ) STREAMS (9) SUNFISH (18) SURFACE DISCHARGES (3) SURFACE WATER (21) SURFACTANTS ( 6 ) SURVIVAL ( 3 ) SUSPENDED SOLIDS (3 ) SWIM PROGRAM ( 3)

TAYLOR CREEK (6) TAYLOR CREEK WATERSHED (3) TEMPERATURE (9) TENNESSEE (6) TERRESTRIAL (6) THREADFIN SHAD (15) TILAPIA (3) TOXICITY (36) TRACE METALS (3) TRANSMISSIBILITY (3) TRANSPARENCY (6) TROPHIC STRUCTURE (30) TUBER PRODUCTION (3) TUBER DENSITY (3) TURBIDITY (12) TURION (9) TYPHA (9) UPPER TAYLOR CREEK (3) USGS (3) UTILIZATION (3) UTRICULARIA (3) VALLISNERIA (15) VAUCHERIA (3) VEGETATED HABITATS (3) VEGETATION (15) VEGETATIVE PROPAGULES (3) VEGETATIVE REPRODUCTION (6) VELOCITY (3) VERTEBRATES (3) WASTELOAD ALLOCATION (6) WASTEWATER TREATMENT (6) WASTEWATER (3) WATER SUPPLY (12) WATER RECYCLING (3) WATER LEVELS (6) WATER CONSERVATION AREA 2A (3) WATER CHEMISTRY (21) WATER QUALITY (Ill) WATER MANAGEMENT (6) WATER LEVEL (9) WATER CIRCULATION (3) WATER BUDGET (3) WATERSHED ANALYSIS (3) WEIGHT DISTRIBUTION (3) WEIR BOX (3) WET AND DRY SEASON (9) WETLANDS (9) WHITE CRAPPIE (6) WILDLIFE (3) WITHLACOOCHEE RIVER (6) WOLFFIA (3) XYLENE (6)

2-27

ZINC (3) ZOOLOGY (3) ZOOPLANKTON (21)

I I I BIOMASS - M ID-COURSE SUMMARY

I I I A INTRODUCT ION

The experimental removal of Hydr i l l a vert i c i 1 1 ata R i s bei ng

conducted to prov ide removal of nutr i ents phosphorus i n part icul ar from

Lake Okeechobee as wel l as the anc i l l ary benefi ts of i ncreased fi sh

hab i tat and nav igat i onal acces s To determi ne benefi ts and costs of

removal an i ndependent est i mate of both b i omass and nutri ent content of

vert i ci l l ata has been conducted

The bi omass sampl i ng effort was conducted i n August 1987 and was

compl eted pri or to the actual harvest i ng Stat i ons were concentrated i n

the area of the Hydri l l a mat but some non -Hydr i 1 1 a spec i es were al so

col l ected Sampl i ng l ocat i ons were sel ected on the bas i s of qual i tat i ve

cl ass i ficati ons of Hydri l l a growth character i s t ics

Based on fi e l d reconna i ssance i n Aprll and Ju l y 1987 a

s ubstant i al amount of spati al nonhomogene i ty i n both weed dens i ty and

spec i es compos i t i on was observed throughout the proposed s tudy s i te A

vari ety of env i ronmental factors such as substrate compos i t i on water

qual i ty and to a l es ser degree l i ght penetrat i on and water depth may

have been respons i bl e for these observed d i fferences Any past

appl icat i on and poss i bl e res i dual effects of weed control herb ic i des may

al so be contr i buti ng envi ronmental factors As growth character i st ics

w i th i n th i s area were not un i form i t was assumed un l i ke ly that nutri ent

content was evenly d i stri buted To quanti fy these area -wi de var i ati ons

a s ampl i ng scheme emphas iz i ng the range of Hydril l a growth cond i t i ons was

des i gned

III B MATER IALS AND METHODS

I I I B 1 Sampl e Col l ecti on

Prec i s i on measurement of Hydri l l a bi omass i s h igh l y dependent upon

the representat i veness of the sampl es as wel l as evenness of growth

character i st ics wi thi n the study s i te As di fferences i n dens i ty had

3 - 1

been observed duri ng reconnai ssance surveys fi ve Hydri l l a cond i t i on

factors were establ i shed ( see Tabl e 3 1 ) Stat i ons were apport i oned

among these fi ve categor i es rat i ng sel ected s i tes accord i ng to these

cond i t i on factors to i nsure that comparabl e representat i ve sampl es were

col l ected

As a resul t fi fteen ( 1 5 ) stat i ons were establ i shed wi th i n the

weed harvest i ng area ( Fi gure 3 1 ) Sampl i ng l ocat i ons were fi xed and

recorded i n the fi e l d us i ng Loran C (Apel co model DXL -6000 ) Sampl e

col l ect i on at each stat i on con s i sted of three repl i cated cl i pped - pl ots of

Hydri l l a removed from wi thi n a 202Sm2 sampl i ng dev i ce pl aced on the

substrate The sampl i ng box was constructed of steel pl ate 3 mm th ick

The overal l des i gn was s imi l ar to that descri bed by Mart i n and Sherman

( 1979 ) The top of the box however was covered by a d i amond pattern

screen wi th an attached hook to fac i l i tate l i ft i ng the sampl er wh i ch

contai ned the Hydr i l l a sampl e i nto the boat

The sampl er was l owered to the substrate and the Hydri l l a adjacent

to the edge of the box was cut by the d i ver wi th a kn i fe The bottom

sl i d i ng pl ate was then i nserted to conta i n the Hydri l l a sampl e and the

sampl er was then retri eved to the surface

Onl y the above- substrate port i ons of the pl ant were col l ected

s i nce thi s was cons i dered to be the port i on of the pl ant subject to

removal by the mechan i cal harvester Unconsol i d ated detri tal materi al

and roots were not col l ected Any non -Hydri J 1 a macrophytes col l ected

were separated from the Hydri l l a sampl es and treated as d i screte sampl es

Each l abel l ed repl i cate sampl e was we i ghed separatel y to the nearest gram

to determ i ne fresh wet we i ght s The i nd i v i dual repl i cates were then

i ced and shi pped to the l aboratory for dry we ight and nutr i ent content

analys i s

Add i t i onal fi el d procedures i ncl uded a near-fi el d and obl i que

photograph taken at each bi omass sampl i ng stat i on

3-2

I I I B 2 Anal yt i cal Methods

Percent mo i sture was determi ned on al l sampl es Sampl es were

dri ed at 103 - 1050C and the dri ed materi al was used i n n i trogen

phosphorus and potass i um anal yses A total of 52 sampl es were processed

(45 Hydri l l a and 7 non - Hydrjl l a fract i ons ) by MML Total Kjel dahl

n i t rogen and total phosphorus were analyzed from dri ed ground pl ant

materi al Methods ut i l i zed were from the AOAC Methods of Anal ysi s 13th

Ed i t i on 1980 Kjel dahl d i gesti on i n a bl ock d i gester of l ess than O lg

pl ant materi al was fol l owed by sampl e reconst i tut i on automated d i l ut i on

and col ori metri c determi nati on o f amon i a and phosphate by Techn i con

AutoAnal yzer II The resul tant n i trogen and phosphorus concentrat i ons

were converted to a dry we i ght basi s

Procedures for the potass i um anal ysi s are deri ved from the AOAC

Methods of Ana lys i s 13th Ed i t i on 1980 Less than 0 3g of dri ed ground

p l ant materi al was d i gested wi th n i tr ic and perchl ori c ac i ds d l l utjed

wi th 1+1 hydrochl ori c ac i d and anal yzed by atomi c adsorpt i on

1 1 1 B 3 Dat a Management

B i omass data col l ected duri ng thi s study was used to generate the

fol l ow i ng types of data

o Wet and dry wei ghts of Hydri l l a expressed as gm2

o Nutri ents [n i trogen ( N ) phosphorous ( P) potas s i um (K ) ]

per we i ght of Hydri l l a

I I I C I NTERMIM RESULTS - BIOMASS

I I I C l B IOMASS ANALYSIS

Monocul tures of Hydri l l a were present except at Stat i ons 1 2 5

9 and 13 At these fi ve l ocat i ons i nc i dental col l ect i ons of

Ceratoohyl l um sp were made I n i t i al process i ng of these sampl es

cons i sted of separat i ng Hydril l a and non -Hydri l l a spec i es and anal yzi ng

and eval uati ng each fract i on as a d i screte sampl e Once the eval uati on

3 -3

was compl eted b i omass val ues from both sets of sampl es were combi ned to

represent the overal l b i omass harvested from the study are a

B i omass val ues (dry we ights a l l spec i es combi ned ) ranged from

1 9 33 gm2 ( 02 kgm2 ) to 3 1 7 67 gmm2 (0 32 kgm2 ) (Tabl e 3 2 ) The

l ower b i omass val ues were found at stat i ons 1 and 2 wh i ch were nearshore

stat i ons The h i ghest b i omass general l y occurred at the stati ons l ocated

i n the central port i ons of the Hydri 1 1 a mat The range i n wet and dry

b i omass val ues wi th i n a confi dence i nterval of 1 plusmn standard dev i at i on

( SO ) are graph i cal l y presented i n F i gures 3 2 and 3 3 The cons iderabl e

var i at i on i n b i omass val ues among the stati ons i s rel ated to onshy

shoreoff-s hore d i fferences in stat i on l ocat i on and var i at i on in b i omass

maturi ty wh i ch i s descri bed by the prev i ous ly l i sted cond i t i on factors

rhe Hydri 1 1 a cond i t i on factors have been devel oped to prov ide an

i nd i cat i on of the vari abi l i ty of pl ant maturi ty and were used to prov ide

a prel i mi nary eval uati on of the rel ati onsh i p between pl ant maturi ty and

nutrient content The cond i t i on factors recorded at each stat i on dur i ng

b i omass sampl i ng are summari zed i n Tabl e 3 3

The Hydr i 1 1 a b i omass val ues for each sampl i ng stat i on were grouped

accord i ng to the i r respecti ve cond i t i on factor and pl otted ( F i gure 3 4 )

The resul ts of th i s group i ng dep i cts a cl ear pattern of the d i stri but i on

of b i omass versus p 1 ant maturi ty or cond i t i on factor The new growth

cond i t i ons (1 and 2) had the l owest mean bi omass val ues whi l e cond i t i on

4 (mature cond i t i on ) had the h i ghest val ue and cond i t i on 5 (senescence )

i nd i cated a decl i n i ng b i omass of the Hydri 1 1 a mat at the stati on

l ocat i ons The stat i ons sampl ed and the study area were pr i mari l y

con s idered to be represented by a mature growth cond i t i on duri ng the

August col l ecti on Cond i t i on factors ( pl ant maturi ty) are al so rel ated

to nutri ent content as i s subsequently d i scussed

A gross esti mate of b i omass i n terms of areal extent was projected

us i ng the wei ghtarea rat i o for each stat i on and then averag i ng the

rat i os It shoul d be noted however that stat i on sel ect i on for thi s

task was not random and stat i ons were del i beratel y chosen wh i ch

refl ected a range of growth cond i t i ons By the same l og i c l ocat i ons of

transects to be harvested were not random and were chosen i n an attempt

to sel ect maxi mum dens i t i es of Hydri l l a Wi th these qual i fi ers the

3 -4

average b i omass sampl ed ranged from l ess than 1 to over 14 tons per acre

and averaged 7 tonsacre Esti mates for tons of b i omass i n fres h both

wet and dry cond i ti ons al so appear i n Tabl e 3 2 The wet b i omass val ues

represent we ights of the pl ant materi al after surface water has been

removed from the pl ant by bl ott i ng wi th a dry med i um Because of t h i s

handl i ng procedure a d i rect compari son wi th the harvest contractor s

fi el d est i mates (of merely dra i ned materi al ) are not val i d s i nce the

water associ ated wi th the Hydri l 1 a cou l d add a con s i derabl e but unknown

amount to the esti mated total we ight

B iomass sampl i ng i n the study area has been l i mi ted to a s i ng l e

event and the resul t s of the samp l i ng effort do not refl ect seasonal

vari at i ons However Bowes et al ( 1 979) i nvest i g ated the seasonal

Hydri lJ a b i omass product i on of three Fl ori da l akes Lake Trafford

Orange and Jackson Thei r study i ndi cated that the t i me for seasonal

peaks i n bi omass vari ed wi th the southern most 1 ake Lake Trafford

produc i ng the max i mum Hydri l l a bi omass i n August wh i l e the more northern

l akes Orange and Jackson produced more Hydri l l a b i omass i n Novernber

I 1 I C 2 NUTRI ENT REMOVAL

Phosphorus content of Hydri 1 1 a and the potent i al for removi ng

phosphorus from the l ake system was the pri mary focus of the data

anal ys i s Secondary aspects were quant i fyi ng n i trogen and potass i um as

they rel ate to the overal l nutri ent content of the study area and

prov i d i ng i nformat i on for any poss i bl e uses for the harvested materi a l

Tabl e 3 4 summari zes the analyti cal data for bi omass sampl es

col l ected Hydri l l a and total b i omass are tabul ated separatel y s i nce

Hydri l J a i s the target spec i es of the harvest i ng program and i t compri ses

the majori ty of the pl ant materi al i n the study area Inter-spec i fi c

d i fferences i n pl ant chemi cal compos i t i on are al so reported by Boyd

( 1978) as the greatest source of vari at i on i n characteri zat i on stud i es of

aquat i c macrophytes

3 - 5

I I I C 2 1 Phosphorus

Total phosphorus ranged from 9 1 mgg to 2 68 mgg for al l spec i es

comb i ned and 91 mgg to 2 67 mgg for Hvdrill a only (Tabl e 3 4) The

comb i ned data wi th confidence i nterval s ( 1plusmn SO) are shown i n F i gure 3 5

The somewhat h i gher var i at i on i n phosphorus content at Stat i on s 2 5 9

and 13 i s est imated to occur as a resul t of the presence of non -Hvdri l l a

spec i e s at these l ocat i ons Therefore the presence of other spec i es i n

the sampl es ( i f not separated ) i s ant i c i pated to produce data that have a

greater vari abi l i ty and consequently are not as rel i abl e an est i mate of

nutri ent content as des i red for management dec i s i ons

Coeffi c i ents of var i at i on I n phosphorus content were cal cul ated

and pl otted by stat i on for comb i ned pl ants and for Hydr i l l a on l y ( F i gures

3 6 and 3 7) A compari son o f F i gures 3 6 and 3 7 however i ndi cates

that a rel at i vely smal l amount of the vari at i on observed can be

attri buted to the presence of two spec i es at a s i ngl e stat i on F i gure

3 7 demonstrates an i mportant con s iderat i on for any future sampl i ng and

asses sment effort s Sampl es o f Hydri l l a from the extremes of the

cond i t i on factors i e 1 and 5 produce data that may vary from 20 to

more than 30 i n est i mates of phosphorus content

The comb inat i on of cond i t i on factors and means for phos phorous

content at each stat i on i ndi cate a rel ati onsh i p between cond i t i on i e

re l at i ve maturi ty and phosphorus content ( F i gure 3 8) Stati ons wh i ch

cons i st pr imari ly of new pl ant growth (cond i t i on 1 ) contai n the l east

amount of phosphorus on a mgg (p l ant mater i al ) bas i s wh i l e stati on s

wi th pl ants that are descri bed as bei ng i n cond i t i on 4 (mature) have the

greatest amount of phosphorous A dec 1 i ne in phosphorus content al so

apparently accompan i es pl ant senescence

RegreSS i on anal ys i s was conducted to determ i ne the rel at i onsh i p

between b i omass and phosphorus content Because onl y one i ndependent

vari abl e (b i omas s ) was used i n the regress i on mode i t is necessary to

report only the resul ts of the two-tai l ed test u s i ng Student s t shy

stat i ons The nul l hypothes i s for the two -tai l ed test i s that there i s

no rel at i onsh i p between the dependent vari abl e and a spec i fi c i ndependent

vari abl e namel y bi omas s The t -stati st ic generated by the model

3-6

i nd i cated that b i omass s i gn i fi cantly effects phosphorus content at a 43

confidence l evel That i s there i s a 57 chance of i nd i cat i ng there i s

no rel ati onsh i p between b i omass and phosphorus i f the nul l hypothes i s i s

rejected

Add i t i onal stat i st i cal model i ng and an al ys i s i nd i cated that

b i omass at stati ons categori zed as Cond i t i on 4 were s i gn i fi cant ly rel ated

to phosphorous content at onl y a 75 confi dence l evel or a 25 chance

that a re 1 at i onshi p between b i omass and phosphorous content does not

exi st The h i gher confi dence l evel provi des some support for the use of

Hydrj 1 1 a cond i t i on factors part i cul arl y cond i t i on 4 for est i mat i ng the

nutri ent content of Hydri 1 1 a

To prov i de some prel i mi nary est i mates of potent i al phosphorous

removal rel ated to Hydri 1 1 a matur i ty each sampl i ng stat i on s phosphorous

we i ght to area rat i o was determi ned (Tabl e 3 5 ) These rat ios were then

averaged by cond i t i on factor The resu1 tant overal l phosphorus content

ranged from 16 1 bacre (cond i t i on 1 ) to 3 40 1 bacre (cond i t i on 4) and

dupl i cated the trend observed i n the b i omass data ( F i gure 3 4 )

The range of Hydri 1 1 a cond i t i ons factors and the presence o f other

macrophyte spec i es wi thi n the harvest area i nd i cates that further

defi n i t i on of the nutri ent removal est i mates are requ i red Th i s further

quant i fi cati on can be accompl i shed i n part through the use of aeri al

photographs The i nter im report by 15ampT ( 1 987 ) i nd i cates that sca1 ed

true col or and fa1 se col or i nfrared photographs of the study area have

been rout i ne1 y fl own Cop i es of these photographs and vegetat i on maps

wi 1 1 be requested from 15ampT The vegetati on maps produced from these

photographs by 15ampT wi l l be computer d i g i t i zed and acreage measurements

cal cul ated I t shoul d be noted that remote resource sens i ng techn i ques

part i cul arl y stud i es i nvol v i ng submerged pl ants have l i mi tati ons rel ated

primari l y to water depth and cl ari ty These 1 im i tati ons restri ct the

quant i ficat i on of i mmature Hydri 1 1 a represent i ng cond i t i on factors 1 and

2 because i t i s unl i ke1 y these p1 ants can be detected due to thei r

submerged cond i t i on Hydri ll a exh i bi t i ng cond i t i on factors 3 4 and 5

shoul d be v i s i bl e i n the l ate summer aeri al photographs as emergent mats

The fal se col or i nfrared aeri al photographs wi l l al so be anal yzed to

3 - 7

further separate the area i nto cond i t i on factors (3 4 and 5 ) These

refi ned est imates wi l l be i ncl uded in the fi nal report

An i ntegrated seasonal data base on nutri ent content of Hydri l l a

i n Lake Okeechobee i s l acki ng However recent data ( 1 5ampT 1988 )

i nd i cates there may be a pronounced seasonal d i fference i n t he chemi cal

compos i t i on of Hydrll l a from the l ake Hydri l l a sampl es col l ected by

15ampT duri ng January 1988 had phosphorus and n i trogen val ues that were

two to t hree t i mes h igher than the val ues reported for Aug ust 1987

(Tabl e 3 6 )

Spl i t sampl es anal yzed by the same l aboratory wh i ch prov i ded the

I SampT data provi ded veri fi cati on for the August phosphorus data reported

i n th i s study Therefore i t appears to be reasonabl e to assume that an

i ncrease i n Hydri l l a nutri ent content has occurred between August 1 987

and January 1988 The spec i fi c causes for th i s i ncrease are present ly

unknown but Federi co et al 1981 have suggested a nutri ent i nput

mechan i sm for the l ake based on l ake management W i th the fal lwi nter

i ncrease i n l ake surface area nutri ents conta i ned i n the l i ttoral zone

cou l d be transported l ake-ward by the fl ood i ng of the l i ttoral zone

Water qual i ty data from the present study does i n fact i nd i cate an

i ncrease i n i norgan i c phosphorus (P04- P ) from August 1 987 to January

1988 I t may be specul ated that i ncreased nutri ent avai l ab i l i ty may have

produced t h i s i ncrease i n Hydri l l a nutri ent content I t shoul d al so be

noted however that a seasonal i ncrease i n Hydri l l a phosphorus and

n i trogen content may occur i ndependent of any l ake management reg i me

Th i s seasonal vari at i on i n Hydri l l a nutri ent content has i mportant

rami fi cat i ons for any cont i nued or future harvest i ng programs I t al so

creates some add i t i onal quest i ons For exampl e i s th i s Hydri l l a

nutri ent i ncrease a l akewi de phenomenon or i s i t a near fi el d effect that

might be rel ated to the recent harvest i ng I f th i s i s a l akewide

i ncrease i n nutri ent content does it al so produce a correspond i ng

i ncrease i n bi omass so that phosphorus removal per acre cou l d be

max i mi zed I f th i s were true then the seasonal t i m i ng of any future

harvest i ng efforts need s to be careful l y cons i dered

Converse l y i f the wi nter i ncrease i n phosphorus content i s a near

fi el d effect rel ated to harvest i ng then perhaps harvest i ng des i gn i e

3 - 8

n umber and widths of harvested l anes needs to be re -exami ned and t i mi ng

of the harvest i ng may become l ess i mportant S i nce Hydri l l a i s a

n u i s ance spec i es al l prev i ous harvest i ng strateg i es have been a i med

toward weed el i mi nat i on for n av igat i onal purposes Because of th i s

nu i sance status management strateg i es have not been dev i sed or tested to

ut i l i ze Hydrj l l a as a nutri ent removal middotcrop middot For exampl e a seri es of

narrow but cl osely spaced cuts may be v i ewed as crop th i nn i ng wh i ch may

resul t i n greater nutri ent uptake by the adjacent unthi nned port i on of

the middotcrop middot Th i s act i on cou l d al so be coord i nated wi th n av i gat i onal

concerns and where appropri ate habi tat restorat i on or ma i ntenance

1 1 1 C 2 2 Ni trogen

As previ ous l y noted n i trogen has al so been eval uated as part of

the nutri ent analys i s N i trogen (TKN) ranged from 13 45 mgg to 26 34

mgg for al l spec i es combi ned and 13 45 mgg to 26 1 5 mgg for Hydri l l a

onl y (Tabl e 3 4) I ts d i stri but i on among stat i ons ( F i gure 3 9 ) fol l owed

the pattern prev i ousl y d i scussed for phosphorus Thi s pattern i ncl uded

the h i gh vari at i on attri buted to the presence of other spec i es ( F i gures

3 10 and 3 1 1 ) as wel l as the cond i t i on factornutri ent content

rel ati onsh i p of Hydri l l a ( F i gure 3 1 2 )

1 1 1 C 2 3 Potas s i um

The rema l n l ng nutri ent i ncl uded i n the anal ys i s was potass i um

wh i ch vari ed from 10 20 mgg to 26 28 mgg for al l spec i es combi ned and

10 20 mgg to 26 28 mgg for Hydri 1 1 a (Tabl e 3 4) Wi th several mi nor

except i ons potass i um content was a more vari abl e pl ant nutri ent than

e i ther phosphorus or n i trogen ( Fi gure 3 13 ) Thi s vari abi l i ty i n

potass i um content has al so been prev i ousl y reported by Sutton and Port i er

( 1983 )

A c o n s i d erabl e amou n t of the vari abi l i ty i n potas s i um

concentrat i ons was attri buted to the presence of other spec i es ( F i gures

3 1 4 and 3 1 5 ) but even when monocul tures of Hydri l l a are con s i dered a

h i gh amount of vari abi l i ty st i l l exi sts Kl opatek ( 1978) suggests that

3 - 9

vari at i on i n potass i um l evel s i n aquat i c macrophytes may refl ect h i gh

metabol i c demand duri ng the peri od of rap i d growth and that potass i um i s

not stored by pl ants s i nce th i s nutri ent i s read i l y avai l abl e from most

soi 1 s When grouped by cond i t i on factor the h i ghest potass i IJm contents

occurred i n the new or rapi d ly growi ng pl ants (cond i t i ons 1 2 and 3 )

( F i gure 2 - 1 6 ) Potass i um content decreases i n the l atter growth stages

assoc i ated wi th cond i t i on factors 4 and 5

I I I D CONCLUS IONS

The Hydri l l a b i omassnutri ent data anal yzed to date i nd i cates that

there are several important factors to be cons idered for future or

conti nued Hydri l l a harvest i ng programs

o Recogn i t i on and categori zati on of the rel ati ve maturi ty

state (cond i t i on factor) of the Hydri l l a mat i s i mportant

to sel ect sampl i ng l ocat i ons for nutri ent ana lys i s

o Anal ysi s of the nutri ent content of Hydri l l a i s most

preci se i e l owest sampl e vari at i on when col l ected from

areas of the mature mat The extremes of growth cond i t i on

new growth and senescence produced more vari abl e data

requ i ri ng l arger numbers of sampl es for rel i abl e mean

determi nat i ons

o Further testi ng of season a 1 d i fferences i n Hydri 1 1 a

nutri ent content and coup 1 i ng wi th harvest j ng-management

strateg i es cou l d s ign i ficantl y opt i m i ze the amount of

nutri ents removed through mechan i cal harvest i ng

I I I E RECOMMENDATIONS

Based on the data col l ected and anal yzed to date the fol l owi ng i s

the recommended course of act i on

Add i t i onal quant i tat i ve sampl i ng of Hydri l l a i n Lake Okeechobee i s

recommended Th i s add i t i onal sampl i ng effort shou l d be conducted at

3 - 10

1 ocat i ons both wi th i n the present study area as wel l as some 1 ocat i ons

out s i de of the study area Th i s general i zed pl an wi l l test for near

fi el d effects i e those effects that m ight be rel ated to harvest i ng

vs l akewi de effects Th i s sampl i ng effort shou l d be conducted quarterl y

to i nvest i gate the apparent seasonal changes i n Hydri l l a nutri ent

content Sampl i ng shou l d dupl i cate earl i er efforts and shou l d be

conducted at e i ght l ocat i on s four wi th i n and four outs i de of the present

study area

I I I F QUALITY ASSURANCE RESULTS

Tabl e 3 7 deta i l s the prec i s i on and accuracy of anal yt i cal resul ts

of dr i ed pl ant t i ssue Al l data were generated i n groups wi th

sat i sfactory qual i ty assurance cri teri a

3 - 1 1

LITERATURE CITED

Bowes G A S Hol aday W T Hal l er 1979 Seasonal vari ati on i n the b i omas s tuber dens i ty and photosynthet i c metabol i sm of Hydr i l l a i n three Fl ori d a l akes J Aquat i c Pl ant Mgt 17 61-65

Boyd C E 1978 Chemi cal Compos i t i on of Wetl and Pl ants IN Freshwater Ecol ogical Processes and Management Potenti al eds R E Good D F Wh i gham R L S i mpson C G Jackson J r Academi c Pres s N Y 378p

Freder i co A C K G D i c kson C R Kratzer F E Davi s 1981 Lake Okeechobee Water Qual i ty Stud i es and Eutroph i cat i on Assessment Techn i cal Publ i cati on 181-2 May 1981 Resource Pl ann i ng Department South Fl ori da Water Management D i stri c t West Pal m Beach FL 270pp + App

Kl opatek J M 1978 Nutri ent Dynami cs of Freshwater R i ver i ne Marshes and the Rol e of Emergent Macrophytes IN Freshwater Ecol og i cal Processes and Management Potent i al eds R E Good D F Wh i gham R L S i mpson C G Jackson Jr Academi c Press N Y 378p

ISampT 1987 Letter to Mr Ed Terczak dated Sep t 3 1987 Subj ect Chemi cal Anal yses resul ts of sampl es of Hydri l l a and mi crodeus

ISampT 1988 Letter to Mr Ed Terczak dated Jan 25 1988 Subj ect Compari son of nutri ent content i n Hydri l l a and water hyaci nth sampl es from the Demonstrat i on Project study area

Sutton D L and K H Port i e r 1983 Var i ati on of n i trogen phosphorus and potass i um contents of Hydri 1 l a i n South Fl orida J Aquat i c Pl ant Mgt 2 1 87 -92

3-12

Tabl e 3 1

Cond i t i on 1

Cond i t i on 2

Cond i t i on 3

Cond i t i on 4

Cond i t i on 5

Hvdrll l a Cond i t i on Factors to Descri be Pl ant Maturi ty i n the Lake Okeechobee Study Area

Areas of new pl ant growth rooted pl ants are l ess

than a foot h i g h

Pl ant growt h i s v igorou s but does not extend to the

surface P l ant s extend from 12 to 34 of the water

col umn i n height

Pl ant growth i s v igorous reaches the surface not

matted or at l east not brown and dyi ng on the

surface

Pl ant g rowth i s matted at the surfac e fl oat i ng

pl ants trapped s i gns of earl y decompos i t i on

P l ant mats are senescent and some open water i s

evident under mat

Source DSA Group I nc 1988

T-- 3 BiJS s_ bull aty 6 Sct irg 1tilt in _ Ia1 kee--gtee OJ --l l

my WEI lOOS lOOS

station GM2 so KGM2 so ArnE GM2 so KGM2 so ArnE

1 19 33 17 10 0 02 0 02 0 09 197 00 188 04 0 20 0 19 0 88

2 32 00 12 53 0 03 0 01 0 14 364 67 127 36 0 36 0 13 1 63

3 67 00 18 19 0 07 0 02 0 30 636 00 191 01 0 64 0 19 2 84

4 155 00 72 75 0 16 0 07 0 69 1660 33 733 09 1 66 0 73 7 41

5 195 33 85 82 0 20 0 09 0 86 1757 00 720 00 176 0 72 7 84

6 166 33 37 58 0 17 0 04 0 74 1695 33 335 67 1 70 0 34 7 56

7 263 33 56 70 0 26 0 06 1 18 2158 67 538 68 2 16 0 54 9 63

8 67 33 4067 0 07 0 04 0 30 676 33 302 63 0 68 0 30 3 02

9 184 67 94 85 0 18 0 09 0 77 1765 66 719 58 1 77 0 72 7 88

10 317 67 155 28 0 32 0 16 1 42 3165 33 1379 28 3 17 1 38 14 12

11 205 67 82 37 0 21 0 08 0 92 1716 00 500 11 1 72 0 50 7 66

12 200 67 47 60 0 20 0 05 0 90 2192 00 554 43 2 19 0 55 9 78

13 188 67 49 17 0 19 0 05 0 84 2326 00 492 11 2 33 0 49 10 38

14 116 00 29 82 0 12 0 03 0 52 1228 33 334 60 123 0 33 5 48

15 234 67 66 29 0 23 0 07 1 05 1997 33 527 08 2 00 0 53 8 91

Notes GM2= Grams Per Meter Square

SD= staOOald Deviation 1lGM2= Kilograms Per Meter Square

Dlta Ioolules Nan-Hydrilla Values for lhese stations

SOlllCe DSA Group Inc 1988

Tabl e 3 3

Cond i t i on

1

2

3

4

5

Sununary of Hydr i l l a Cond i t i on Factor by stat i on for the Lake Okeechobee study area August 18- 21 1987

Hydri 1 1 a Stat i ons

lt1 h i gh 1 2

12middot34 water col umn i n hei ght 2

at surface not matted 8 1 4 1 5

matted earl y decompos i t i on 4 6 7 1 0 1 1 1 2 1 3

senescent open water 5 9

Source DSA Group I nc 1987

Table 3 4 SUImlary ot Hyt1rllla Nl11rlent conumt nan Ole JaKe UKeeCnacee -oxty AJea 11

--- --------- - - ----- - -

Hydrilla Total Hydrilla Total Hydrilla Total p P TlltN TlltN K K

station I-CG so I-CG so I-CG so I-CG so I-CG so I-CG so

1 1 20 0 35 1 20 0 35 13 45 4 66 13 45 4 66 20 78 9 78 20 78 9 78

2 1 55 0 53 1 40 0 35 15 02 4 80 16 39 2 83 2156 12 06 16 45 6 23

3 1 43 0 06 1 43 0 06 15 78 1 37 15 78 1 37 19 66 6 19 19 66 6 19

4 2 36 0 27 2 36 0 27 20 67 2 76 20 67 2 76 20 57 4 81 20 57 4 81

5 1 28 0 14 1 47 0 30 16 49 0 88 16 93 1 10 19 09 2 11 18 99 1 98

6 1 60 0 02 1 60 0 02 17 16 028 17 16 0 28 23 56 5 57 23 56 5 57

7 0 91 0 07 0 91 0 07 15 58 0 38 15 58 0 38 10 20 0 53 10 20 0 53

8 1 37 0 15 1 37 0 15 13 60 2 50 13 60 2 50 26 28 8 25 26 28 8 25

9 1 45 0 36 1 48 0 39 17 60 2 38 17 73 2 56 18 34 5 30 18 59 5 35

10 1 96 0 14 1 96 0 14 21 35 1 69 21 35 1 69 18 71 2 73 18 71 2 73

11 1 63 0 13 1 63 0 13 16 71 0 37 16 71 0 37 16 60 5 06 16 60 5 06

12 1 81 0 12 1 81 0 12 21 97 1 04 21 97 1 04 14 43 1 37 14 43 1 37

13 2 67 0 27 2 68 25 26 15 2 29 26 34 1 97 15 89 4 52 15 89 4 52

14 2 14 0 09 2 14 0 09 20 68 1 12 20 68 1 12 23 68 1 72 23 68 1 72

15 1 33 0 11 1 33 0 11 14 01 0 47 14 01 0 47 15 82 1 99 15 82 1 99

Note All Values Expressed as Milligrams Per Gram of Dry Weight

50ur0e DSA Group Inc 1988

Tabl e 3 6

Sampl i ng Peri od Pl ant

August 1987

Tops

Steins

Whol e Pl ants

August 1987

Whol e P l ants

+January 1988

Who l e Pl ants

A Compari son of Hydri l l a Nutri ent Content for Samp l i ng Periods Conducted i n August 1987 and January 1987 i n t he Lake O keechobee Study Area

N i trogen Phosphorous (mgg-dry wei ght) (mgg-dry wei ght)

19 5 3 21

10 4 1 49

16 3 1 53

13 45 - 26 15 91 - 2 67

31 2 - 35 2 6 9 - 9 2

Source IST Augu s t 1987 Source DSA HHL August 1987

+Source IST January 1988

Tabl e 3 7 Bi omass anal ys i s qual i ty assurance resul ts

Prec i s i on Accuracy Parameter ( n X RSO SO) ( n X RSO SO)

Total phosphorus 6 3 8 1 4 4 1 0 1 7 6 5

Tota l Kje l dahl n i trogen 8 3 2 2 2 4 1 06 6 1 1 2

Potas s i um 6 3 1 1 8 5 12 1 2 43 5

zB

Figure middot3- 1 BIOMASS SAMPLING LOCATIONS

_c liOn Aalill LAaoaATOAV bullbull DA OAOb INC 18 bull

EVALUATION OF AQUATIC WEED HARVESTING DEMONSTRATION

IN LAKE OKEECHOBEE

Cl M EANS

B I O MAS S WET WE IG HT GRAS METER SQUARE

5--------------------------------------------------

45

4

3 5

3

25

1 5

1

05

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFIDENCE STATION

o LOWER COIJADENCE

re 3 2

w a 4 J a tJ) lr w-ti

o M EANS

500

450-

40

350

300

2 50

20

1 50

1 00

50

0

1 2 3 4

+ UPPER CONfIDB-JCE

_ GPnl IP INC

81 0M-ASS D RY WEIGHT CRAMS METER SQUARE

-1-5 e 7 8 sa 1 0 1 1 1 2 1 3 1 4 1 5

STAriON o LOWER (ONlDENCE

ure 3 - 3

________________________________________________________ -____ G

c- -0 (I) (I) -laquo l 0 m J 0 I-

TOTAL BI O MASS VS HYDRI LLA C ONDITIO N DRY WEIGHT GlA2

3 00--------------------------------------------

2 80

1 80

1 60

1 40

1 20

1 00

80

6 0

40

20

middot0 1 2 3

CONDITION FACTOR IS I GM2 DRY NEIGHT

4 6

Figure 3-4

J laquo It w -It 0 L-a 0 -CL lt)

o M EAtJS

M I LLI G RAM S O F TOTA L P H O S PH O RUS

3--------------------------------------------

1

1 4

1 2

1

08 -1 2 3 4

+ UPPER CONFID ENCE

5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION gt LOWER CONFlDENCE

Figure 3-

z o tr 4 gt IL o

w o b IL W o o

C O EFFI C I ENT OF VARI ATION

TOTAL PHOSFHORUS 1 00-----------------------------------------------

90

80

70

60

50

40

30

2 0

1 0-

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION

i

z o ti gt b o

w o b h W o o

CO EFFIC I ENT OF VARIATION TOTAL PHOSA-lORUS (HtDRILLA ONLY)

I OO------------------------------------------------

90

80

70

60

50

40

30

20

1 0

1

IS I CONDlllON FACTORS STATION

9 1 0 1 1 1 2 1 3 1 4 1 5

Figure 3 -7

c - t) 2 0 -1 0 I-

TOTAL PH O S PH U RS VS H YDR I LLA C O N DITI ON

3--------------------------------------------

28

2

2

1 8

1 6 1 4

1

1 2 3

CONOrTJOt FACTOR -I I MGG my yenEIGHT

4 5

ure 3-8

J laquo cr

2 2 w l-e )- 20 (( 0 b 1 8 0 (-

z 1 6 t= 1 4

1 2

1 0

8

o M EANS

M ILLIGRAMS O F TOTAL KJELDAHL NITROGEN

1 2 3 4

+ UPPER CONFDE1CE

----r f 5 bull 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

STATION ltgt LOWER COtADENCE

-ltlilirA 3-9

z 0

gt La 0

I-Z w

0 La La w

0 0

CO EFFIC I ENT OF VARI ATION

TOTAL l1ltJtJ

4

30

2

1 0

1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

IS I CONDITlON FACTOR kZ 1 CV ()

Figure 3-1 0

z o t( tr laquo gt L o

tshyZ W o L L W o o

middot

CO EFFIC I ENT O F VARIATIO N 1lltN (HfDRlliA ONLY)

1 00-----------------------------------------------

90

80

70

80

50

40-

30

20

1 0

IS I CONDlllON FACTORS STATION WJ CV(7) 3- 1 1

0 -lt- z a

I--1 0 I-

30

28

28

24

22

2

1 8

1 8

1

1

2

0 1

TOTAL TKN VS HYDRI LLA CON DITION

2 3

CONDITION FACTOR r ] GG CRY WEIGHT

3- 1 2

-oJ ( tr W gt-cr n L 0 Cl - Cl E

o M EANS

M I LL IG RA M S O F TOTAL POTASSI U M

38---------------------------------------------

2

1

8--------------------- 1 2 3 4 5 8 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5

+ UPPER CONFDENCE STATION

ltgt LCJWER CONFIDENCE

z o n 4 gt LL o

I-shyZ bJ o LL LL W o o

1 00

90

80

70

80

50

40

30

20

1 0

0 -

CO EFFIC I ENT O F VARIATION POTASSIUU

-- _-_------ ------

1 2 3 4 5 8 7 8 1

IS I CONDITION FACTOR STATION ---

l2 J cv(-)

1 4 1 5

3- 1 4

z 0 t a oC gt Iamp-0

--

It

r z w 0 lamp-Iamp-w 0 0

C O EFFIC I ENT O F VARI ATION

POTASSlUA (HfffiILLA 011 Y) 1 00 - - - - - - -- - ---- - - - -- - -- - - - ---- --- - -- - - - - - - - - - - -- - - - - -

90

80

70

60

50

40

30 -

20

-

1 0

0 - 1 2 3 4

IS I CONDIllON FACTORS

l 7

J

r t

I 10 1 1 1 2 13

STATON LUd CV ( )

3- 1 5

TOTAL P OTASS I U M VS HYD RI L LA CON DITI ON

30------------------------------------------

28

28

1 2 3

CONDfTION FACTOR 1 I GG y WEIGHT

4 5

3- 1 8

IV WATER QUALITY SURVEYS

IV A INTRODUCTION

Concerns for water qual i ty i n Lake Okeechobee are pr i mar i l y

focused on nutri ent storage and cycl i ng between the water col umn

sedi ments and bi omass and the impl i cat i ons of these processes for the

current and future troph i c state of the l ake The harvest i ng

demonstrat i on project undertaken by the South Fl ori da Water Management

Di strict and conducted by I nternat i onal Sci ence and Technol ogy I nc

( ISampT) i s one of the remed i al measures proposed to arrest the apparently

i ncreas i ng troph i c state The harvest i ng and subsequent upl and d i sposal

of Hydrj l l a i s bei ng u sed to effect the removal of total nutri ents

( phos phorus in part i cul ar) from the aquat i c system The Di str i ct s

eval u at i on and research project ( EampR) conducted by Mote Mari ne Laboratory

(MML) was des i gned to del i neate other env i ronmental i mpacts and cost

benefi ts associ ated wi th mechan i cal weed removal

The goal of the water qual i ty task of the EampR s tudy was to

del i neate changes that cou l d be attri buted to the removal of dense stands

of Hydri l l a vert i c i l l ata ( Fi gure 4 1 ) Al though the i mmed i ate i mpacts of

weed harvest i ng on water qual i ty may be substant i al those wh i ch

perS i sted over a peri od of t i me were expected to be fai rl y smal l and

l ocal i zed due to the advect i ve barri er of the Hydri l l a mat Accord i ngl y

i n order t o resol ve these changes from background vari abi l i ty grad i ents

of water qual i ty were assumed to exi st across the s i te al though they may

be wea k

The sampl i ng program was desi gned t o al l ow the stat i st i c al

eval uat i on of water qual i ty d i fferences between stat i ons at any one poi nt

i n t i me prov id i ng enough anal yt i cal data to produce mean i ngful

compari sons As a resu l t a mi n i mum of tri pl i cate col l ect i on s per

stat i on were necessary Th i s approach was preferabl e to more frequent

sampl i ngs because i t centered on quant i fy i ng i mpacts at part i cul ar

i nstances rather than on a conti nu i ng bas i s when seasonal processes i n

the study area woul d compl i cate anal yses of data

4 - 1

Water qual i ty i nformati on i s al so necessary for the i nterpretat i on

and anal ys i s of many of the other tasks Phytopl ankton and pri mary

product i v i ty stud i es i n part i cul ar are heavi l y dependent on t h i s task and

wi l l exami ne ava i l abl e nutri ents tox i c compounds ( copper) as wel l as

phys i cal data produced by thi s tas k Accord i ng l y sampl i ngs for water

qual i ty were conducted on each of the days that Envi ronmenta 1 Qual i ty

Laboratory ( EQL) depl oyed primary producti v i ty equ i pment In add i t i on

certa i n parameters (d i ssol ved s i l i cates col or and i norgan i c carbon )

were added to the analyti c al su i te at stat i ons where product i v i ty was

be i ng determi ned Water qual i ty sampl i ngs were al so conducted wi th i n 24

hours of the communi ty metabol i sm task fi el d efforts and wi th i n two weeks

of l arval and juven i l e fi sh sampl i ngs

IV B METHODS

IV B l Water Qual i tv Stat i on locat i ons

The northern 1 200-m (4000 ft ) of Transect 3 was des i gnated as the

experimental transect where a majori ty of the tasks focused the i r

efforts Th i s harvested area was sel ected based upon central 1 ocat i on

wi th i n the study s i te representati veness of the study s i te as a whol e

wi th respect to depth fetch shore proxi mi ty and speci es compos i t i on

and the dens i ty of the Hydri l l a mat of the area

Stat i on l ocat i ons for most sampl i ng s of the water qual i ty task

were i l l ustrated i n F igure 4 2 a superi mposed on the Loran C l i nes mapped

for the study s i te dur i ng the August 1 987 reconnai ssance A tabul at i on

of Loran coordi nates of these stat i ons appears i n Tabl e 4 1 Stat i ons

were establ i shed to defi ne any ex i st i ng water qual i ty grad i ents across

the s i te as wel l as i mpacts due to harvest i ng and so extend beyond the

boundari es of the area schedul ed for harvest Stat i ons 1 2 3 13 1 5

and 1 6 represented the perimeter o f the study s i te Stat i ons 7 - 9 were

l ocated on the northern hal f of Transect 3 the experi mental transect

and represented the treatment stat i ons the treatment be i ng harvest i ng

Control ( unharvested ) stat i on 10- 1 2 were adj acent to the

experi mental transect i n the unharvested l ane between Transects 3 and 4

4 -2

( Stat i ons 4 -6 were al ternate control stati ons to be used onl y i f unusual

cond i t i ons at Stat i ons 10- 1 2 i nd i cated that they woul d not represent

und i sturbed cond i t i ons These stat ions have not been occup i ed to date )

Stat i ons 7 - 1 2 were al so the same areas sampl ed for phytopl ankto n benth i c

i nfauna and sed i ment chemi stry Stat i on 1 5 was or i g i nal l y establ i s hed

beyond the southern end of Transects 6 and 7 However dense growths of

Amer i can Lotus i n the area made i t l i kel y that water exchange was

mi n i mi zed wi th the rest of the study area Th i s stat i on was accord i ng l y

moved t o the north but kept between transects s o that i t represented

unharvested cond i t i ons

I V B 2 Parameters

In liY i nstrumentat i on (Hartek Hark V I I ) was used to determi ne

depth profi l es (at 0 2 and 0 5 meter i ncrements from the surface and at

bottom) of temperature conduct i v i ty pH and ox idat i on-reduct i on

potent i a l (ORP) bull Di ssol ved oxygen ( DO) meters ( YS I 57 pol arographi c

el ectrodes equ i pped wi th st i rrers ) were used to measure DO at the same

depths Heters ( and i nstruments ava i l abl e as backup equ i pment ) had been

bench cal i brated aga i nst known standards or phys i ca l constants pri or to

each sampl i ng Cal i brat i ons of the meters empl oyed were repeated

fol l owi ng each sampl i ng L i -Cor i ntegrat i ng photometers were ut i l i zed to

quant i fy i nc i dent and penetrant l i ght Care was taken i n performi ng

these measurements to mi n i mi ze weed d i sturbance i n l oweri ng the

i nstruments and ext i nct i on coeffic i ents were cal cul ated from both the

upper ( 0 5 m) and l ower ( bottom) read i ngs to provi de est i mates of both

weed mass and water col umn l i ght attenuati on Water sampl es were

col l ected for l aboratory analys i s outs ide of the i nfl uence of any meter

d i sturbances

Sampl es were secured us i ng a non -metal l i c i mpel l er-type pump wi th

a weed excl ud i ng cage mesh s i ze of 1 mm ( F i gure 9 3 ) The cage was

l owered wi th a mi n i mum of d i sturbance to the weed mat to prevent

resuspens i on and entrai nment of l oose ly attached al ga l materi al or other

pl ant debri s Th i s col l ecti on techn i que was empl oyed for al l sampl i ngs

Chemi cal parameters i ncl uded al l standard n i trogen and phosphorus

4-3

spec i es Inorgan i c forms - -orthophosphorus ammon i a- n i trate- and

n i tri te -n i trogen - - were determi ned on fi l tered sampl es ( 0 45 micon

effect i ve pore s i ze ) to ascerta i n the ava i l abl e amounts most mean i ngfu l

for b i ol og i cal assessments Potass i um and sodi um were quant i f i ed on a

fi l tered sampl e Trace metal concentrat i ons copper ( Cu ) and i ron ( Fe )

al so were determi ned o n fi l tered sampl es due t o the affi n i ty of these

e l ements for suspended part i cul ates

Total organ i c carbon total Kjel dahl n i trogen total phosphorus

and al kal i n i t i es were determi ned on unfi l tered s ampl es as was

bi ochem ica l oxygen demand Turb i d i ty and suspended l oads were quant i fi ed

and total col i form was analyzed by the membrane fi l ter techni que The

analys i s of sampl es for sod i um chl ori de and fl uori de concentrat i ons was

performed to permi t water mass cal cul at i ons and determi nat i on of water

qual i ty grad i ents across the s i te Anal yses necessary for the pri mary

product i v i ty task were col or d i ssol ved s i l i ca and i norgan i c carbon

Water qual i ty anal yt i ca 1 methods used were those approved by the

Envi ronmental Protect ion Agency ( EPA ) and the Fl orida Department of

Envi ronmental Regul ati on ( FDER) Method references anal yt i cal hol d i ng

t i mes and preservati ves are detai l ed i n Tabl e 4 2

Lake l evel s for spec i fi c dates were obtai ned from the Di stri ct and

represent 1 ake wide averages of stage recorders operated by both the

Di stri ct and the u s Army Corps of Eng i neers

IV B 3 Sampl i ng

There were four types of water qual i ty sampl i ngs each vary i ng i n

the numbers of stat i ons sampl ed t imi ng of col l ecti ons or parameters

anal yzed The s ampl i ngs were enti tl ed basel i ne short - term impacts

quarterl y and fi el d demonstrati on Col l ect i ons were focused around the

experimental transect Analyti cal sui tes i nc l uded both phys i cal and

chemi cal parameters Sampl i ngs performed to date appear i n Tabl e 4 3

4 -4

Basel i ne Sampl i ng

Basel i ne sampl i ng was conducted on August 18 1 987 pri or to any

harves t i ng act i v i ty wi t h i n the s i te The day was cl ear hot and cal m

Average l ake l evel for the day was 4 22 m ( 13 85 ft ) A total of n i ne

( 9 ) l ocati ons ( Figure 4 2 ) was sampl ed to establ i sh a grid of control

stat i ons ( Stat i ons sampl ed were 1 2 3 10 1 1 12 13 1 5 and 16 )

These stat i ons were al l i n areas where no harvest i ng act i v i t i es were

schedul ed Stat i ons 10 1 1 and 1 2 were l ocated i n a heavi l y weeded

area whi l e the rema i n i ng control stat i ons were outs i de the area to be

harvested and were i n comparati vely open water At each stati on a total

of three separate sampl es was col l ected from a depth of 0 2 m for

l aboratory analys i s

At Stati ons 1 3 13 and 16 sampl es were al so sec ured from 0 8

of the overal l depth Water depth ranged from 0 9 to 2 0 meters at al l

stat i on s These corners of the study si te represented the spat 1 a1

extremes and water qual i ty data from surface and at depth were used as

i nd i cat i ons of verti cal gradi ents over the s i te

One add i t i onal stat i on at the mouth of the K i s s i mmee R i ver

( Stati on 20) was sampl ed at the surface (0 2m ) The effect of thi s

tri butary on l ake nutri ent l oad i ng and resul tant spat i al grad i ents may

thus be cons i dered Th i s s i ng l e sampl e however was not i ncl uded i n

stat i st i cal anal yses

A total of fourteen ( 14) stati on-depths resul ted from thi s

sampl i ng for a total of forty ( 40 ) sampl es for anal ys i s In ll1Y and

l aboratory analyses i ncl uded al l wi th the except i on of col or s i l i cates

and org an i c carbon as no phytopl ankton sampl i ng was conducted duri ng

th i s epi sod e Sampl es for total col i form were col l ected from Stat i ons

10 1 1 and 1 2 onl y ( n i ne sampl es)

Short Term Impacts Sampl i ng

Two short term impacts water qual i ty sampl i ngs were conducted

i mmed i atel y after and approx i matel y one week fol l owi ng the compl et i on

of harvest on the exper imental transect These sampl i ngs were i n

4 - 5

conjunct i on wi th and on the same day as phytopl ankton and pr i mary

product i v i ty sampl i ngs Sampl es were col l ected from Stati ons 10 1 1 and

1 2 the control stat i ons and from Stat i ons 7 8 and 9 the experi mental

stat i ons ( F1 gure 4 5 ) Experimental stat i ons were l ocated approxi mately

150m 600m 1070m ( 500 ft 2000 ft and 3500 ft ) from the northern end of

the transect and were approximate ly 75 m ( 250 ft ) from e i ther edge of the

harvested area Contro 1 stat i ons were pa i red wi th each experi mental

stat i on and were adj acent approx1mate1y mi dway between Transect 3 and 4

1 n the center o f the unharvested are a Sampl es were col l ected from 0 2m

depth onl y

Aquat i c weed harvest1 ng on the experi mental transect began

September 3 1987 and the northern 1 220 m was compl eted on September 1 7

Dur1 ng th i s and the succeed 1 ng dayt 1 me sampl i ng events the ongo i ng

harvest of weeds cont i nued nearby An MHl fi el d crew conducted sampl i ng

on September 1 7 a hot cal m and cl ear day when l ake l evel s averaged 4 13

m ( 13 56 ft ) Th 1ck Hvdri 1 1 a growth was v 1 s i b1 e at depth w1 th i n the

tran sect Another sampl i ng occurred on September 22 1987 ( l ake l evel

4 1 2 m ( 1 3 51 ft raquo under s imi l ar cond i t i ons Regrowth of Hydri 1 1 a i n the

experiment al transect was extens ive by th i s date Sampl es were col l ected

near the mouth of the Ki s s immee Ri ver on both occas i ons Seven ( 7 )

stat i on depths resul ted 1 n the col l ect1 0n o f n i neteen ( 1 9 ) sampl es on

eah date Al l in si tu parameters and l aboratory anal yses were i nc l uded

Quarterl y Sampl i ng

As wi th the i mmed i ate i mpacts sampl i ng s quarterl y sampl i ngs were

conducted i n conjunct i on wi th phytopl ankton work Stat i ons sampl ed

i nc l uded 1 2 3 7 8 9 10 1 1 1 2 13 1 5 and 16 at 0 2m depth

( F i gure 4 2 ) and Stat i ons 1 3 1 3 and 16 at 0 8m overal l dept h

S i xteen ( 16 ) stat i on depth s pl us one ri ver sampl e resul ted i n at l east

49 sampl es duri ng each of the four efforts In s i tu and 1 aboratory

parameters i ncl uded al l those l i sted wi th the except i on that total

col i form d i s sol ved s i l i cates col or and i norgan i c carbon were anal yzed

on l y on sampl es from Stat i ons 7 8 9 1 0 1 1 and 12 onl y ( the

exper i mental stat i ons and the i r control pa i rs )

4 -6

Quarterly sampl i ngs took pl ace on September 30 1 987 and January

1 3 1 988 wi th the rema i n i ng sampl i ngs schedul ed for Apr i l and June 1988

Lake l evel s were 4 1 4 and 4 90m ( 1 3 60 and 16 07 ft ) i n September and

January respect i vel y The September event was conducted o n a bl ustery

day (wi nds from the west at 5- 10 kts ) wh i ch l ater produced a dr i v i ng

rai nstorm Vi s i b i l i ty both in and above the l ake was obscured currents

were al so noted Li ght and vari abl e w i nds from the NE to W were noted

duri ng the January sampl i ng Hydrilla had regrown to t he surface i n some

cases by th i s date but otherwi se was not often vi s I b1 e due to i ncreased

l ake l evel s

The northern 180m of the experi mental transect was reharvested

duri ng December 1987 Stati ons 7 and 10 were sampl ed i n January and thus

represented a t h i rd treatment ( 1 e harvested twi ce ) In order to

ma i nta i n a bal anced des i gn for stat i st i cal anal yses however two ( 2 )

stati ons were added t o the sampl i ng schedul e The pos i t i on of Stat i on

7 5 was just south of the mowed sect i on and another control ( 10 5 ) was

added i n a comparabl e l ocat i on south of Stat i on 1 0 Stat i ons 7 5 8 and

9 then became the experimental group to be consi dered i n data analyses

F i el d Demonstrat i on Sampl i ng

Water qua 1 i ty impacts duri ng the actual harvest i ng process were

expected to be pri mari l y a product of turbul ence generated by harvest i ng

These effects were al so expected to be fa i rl y l ocal i zed due to the

dens i ty of the weed mat Any temporary resuspen s i on of organ i c detr i tus

or el evat i on of sol i ds or nutri ent concentrati ons wou l d be establ i shed by

an i ntens i ve t i me seri es wh i ch woul d exami ne the degree and durat i on of

any d i sturbance

The fi el d demonstrat i on water qual i ty samp l l ng was conducted on

October 28-29 1 987 when l ake l evel s were at 14 26 ft Three pai rs of

stat i ons approxi matel y 100 ft apart were establ i shed at the northern edge

of the wi nd fence or harvested area l ocated between Tran sects 2 and 3

( Fi gure 4 6 ) Subsequent to preharvest sampl i ng a harvester made two

passe s each approx i mately 100m l ong A smal l barri er of Hydri l l a ( ca

3m w ide ) was l eft i ntact between the harvested area of Transect 2 and the

4 - 7

RharvestedR area for th i s study Stat i ons were i dent i fi ed as Rcut R (Cl

C2 C3 ) or R uncut R (UCl UC2 UC3 ) duri ng th i s effort

Fol l owi ng the two passes of the harvester over the experi mental

swath no more harvest i ng occurred in that area for at l east 24 hours A

t i me seri es of sampl es were col l ected from -each of the s i x ( 6 ) stat i ons

Data were to be compared from each of the two stat i on types for

quant i fyi ng i mpacts and traci ng the i r durat i o n

Sampl es were col l ected a t 0 2m and 0 8m o f the overal l depth us i ng

the pump and the weed excl ud i ng cage to el imi nate the l argest Hydri l l a

fragments from the sampl e Col l ect i ons took pl ace i mmedi atel y pri or to

the passage of the harvester immedi atel y subsequent to the harvest of

the experimental stat i ons (wi th i n approxi matel y 0 5 hr) and then aga i n

at roughl y 2 5 10 and 24 h r i nterval s after the harvest Sampl es were

not col l ected i n tri pl i cate i nstead the three stat i ons i n each

treatment type formed the basi s for stati sti cal compari son A total of

twel ve ( 1 2 ) stat i on depths and s i x (6) col l ect i ons resul ted i n seventyshy

two sampl es for ana lys i s The s i x col l ect i ons were i dent i fi ed as rounds

1 -6 i n data pri ntouts In 11Y parameters to be determi ned i ncl uded al l

l i sted with the except i on of l i ght penetrat i on and secchi depth

measurements Total col i form was not anal yzed due to the extremel y short

hol d i ng t i me of that parameter nor were repet i ti ve l i ght measurements

wh i ch have a h i gh potenti al for d i sturbance of the water mass due to the

actual sampl i ng process Suspended l oad and turbi d i ty anal yses were

ut i l i zed for est imates of l i ght attenuat i on S i l i cates col or and

i norgan i c carbon were not anal yzed as no phytopl ankton work was

conducted at th i s t i me

IV C INTER IM RESULTS

Al l water qual i ty data col l ected through the m idpo i nt of thi s

project appear i n Append i x 4 A and i ncl ude in s i tu and chemi cal anal yses

from the sampl i ngs performed on August 18 September 1 7 September 22

September 30 and October 28-29 1 987 and January 13 1 988 Means of

al l parameters measured i n the study s i te are presented i n Tabl es 4 4

and 4 5 by date but wi thout regard to treatment stat i on or depth

4 -8

The most notabl e of the in ll1Y parameters i s di ssol ved oxygen

More than 32 of al l observat i ons made were i n v i ol ati on of t he 5 0 mg1

i nstantaneous d i s so 1 ved oxygen cri teri on for C1 ass I waters and 20 of

a l l observat i ons were bel ow 4 0 mg1 (Tabl e 3 4 ) Samp1 i ng t i mes were

skewed toward the morn i ng hours and were thus abl e to record the effects

of pre-dawn resp i rati on of aquat i c vegetat i on at the s i t e

Surface sampl es were al so col l ected i n the Ki s s i mmee Ri ver

approximatel y midway between the S R 78 bri dge and Lake Okeechobee i n

add i t i on t o those sampl es spec i fi ed by the scope of work (Tabl e 4 6 )

Ion content ( sod i um potass i um chl ori de al kal i n i ty s i l i cates )

typi cal l y was l ower i n the ri ver than the s i te waters and i ncreased

sod i um and chl oride concentrat i ons were observed i n the southern port i on

of the study area The ri ver was general l y l ess turbi d ( turbid i ty total

suspended sol ids ) hi gher in col or and apparent ly represented a source

of d i ssol ved i ron to the area

Both throughout the s i te and i n the Ki ss immee Ri ver d i ssol ved

copper l evel s i f detected were only sl i ghtl y above the l i m its of

detect i on The same was true of n i trite-ni trogen wi th the excepti on of

the January sampl i ng On th i s date concentrati ons at the Ki ss inunee

stat i on were h i gher (0 027 mg1 ) than the rema i nder of the stat i on s and

concentrat i on grad i ents were apparent across the study s i te Data on

col or si l i cates and i norgan i c carbon al though presented i n the

append i x wi l l not be extens i vel y analyzed i n thi s sect i on as such data

were pri mari l y col l ected for use i n i nterpretat i on of phytopl ankton

anal yses

IV D DATA REDUCTIONS

Stati sti cal anal yses of i n s i ty and chemi cal data empl oyed one and

two-way analyses of vari ance where treatment effects ( harvested non shy

harvested stat i ons depths ) were consi dered as fi xed (Model I ANOVA)

Two-way anal yses were conducted empl oyi ng the same assumpt i ons when the

rel at i ve magni tude of effects was of i nterest S ign i fi cance l evel s were

set at 0 05 ( P 95) Except where noted anal yses ut i l i zed the

untransformed val ues of the vari ous parameters Log ( base e) data

4-9

trans format i ons were usual ly used to approxi mate normal d i stri but i ons

Parameters trans formed for analys i s i ncl uded orthophosphate ammoni a

n i trate -n i tri te-n i trogen potass i um i ron BOD turbi d i ty TSS and

sod i um

When vari ances among groups were s i gni fi cant i nd i v i dual means

were contrasted us i ng e i ther Student t-tests or Tukey s Student i zed Range

Test wh i ch computes the smal l est HSD ( honestly s ig n i fi cant d i fference )

for determi n i ng d i fferences Both were ap pl i ed at the P - 95 l evel

IV E DISCUSSION

IYr E I In 1i1Y Parameters

D i ssol ved oxygen l evel s and percent s aturat i on of d i ssol ved oxygen

were expected to show the most change from harvest i ng act i v i ti es W ide

d i urna 1 swi ngs shoul d be damped by the removal of 1 arge amounts of

Hydril l a D i urnal pH cycl es and to a l esser extent ORP woul d be

expected to fol l ow thi s pattern as l ess vegetat i on woul d be present to

con sume carbon d i ox ide Seasonal cycl es were expected i n temperature

data however d i urnal cycl es and verti cal thermal grad i ents were l ess

l i kely 1 n areas where dense stands of fl oat i ng Hydri l l a had been removed

For al l parameters wi nd generated m ix i ng i n harvested areas shou ld

1 es sen the degree of al l surface-to-bottom grad i ents Any changes i n

conduct i v i ty at a part i cul ar l ocat i on as a resul t of harvesti ng woul d be

i nd i rect and woul d l i kel y refl ect al terat i ons i n current structure by

removal of the Hvdri l1a mat and the i ncreased fl ush i ng i n harvested

areas

Due to the obv ious d i fferences between sampl i ngs anal yses of i n

tliY data empl oyed two -way ANOVAs usi ng date and treatment ( harvested

Stat i ons 7 8 and 9 and non-harvested Stati ons 10 1 1 and 1 2 ) as

factors Further as vert i cal grad i ents for some parameters appeared

substant i al data sets were al so subd i v i ded i nto surface and bottom

readi ngs and exami ned separately Data were anal yzed from the sampl i ngs

of September 1 7 22 and 30 and January 13 As ant ic i pated sampl i ng

date was a h i ghl y s i gn i fi cant factor for al l i n s i tu parameters

4 - 10

conduct i v i ty ORP pH temperature DO and percent saturat i on Those

parameters exh i bi t i ng d i fferences attri butabl e to harvest i ng impact were

DO and percent saturat i on at both surface and bottom and pH at bottom

No i nteract i ve terms were s i gn i fi cant i nd icat i ng a consi stent and

pred i ctabl e pattern of d i fferences

Di ssol ved oxygen l evel s averaged between 0 5 and 3 6 mgl h i g her

i n the experi mental ( harvested ) transect than i n the adj acent control

stat i ons Th i s pattern was general ly most ev i dent from read i ngs at the

bottom of the water col umn Overal l i ncreases i n percent saturat i on were

approxi mately 20

It shoul d be noted that the majori ty of these data were col l ected

before 1000 ( EST ) and that th i s t i mi ng affected both the magni tude and

the d i rect i on of d i fferences i n DO l evel s Had sampl i ng been conducted

predomi nantly dur i ng mid- to l ate afternoon i t i s most probabl e that the

unharvested and heav i l y weeded areas would have had s i gn i fi cant ly h i gher

DO val ues than the adj acent harvested areas The observed pattern i s

cons i stent wi th an enhanced pre-dawn DO middot sag middot i n areas wi th h i gher

dens i t i es of aquati c vegetat i on (control s ) To ensure that no bi as was

i ntroduced by sequence of sampl i ng on each date stat i ons were ranked by

t i me of sampl i ng the ranks summed by treatment and compared Duri ng that

sampl i ng with the most d i screpancy between treatment rank sums September

30 DO l evel s i ndi cated that thi s was not a seri ous factor

The overal l s i gni fi cance of date i n the previ ous anal yses was due

predomi nantl y to the i ncl us i on of the January data set as can be deduced

from the means presented i n Tabl e 4 4 W i th removal of th i s data set and

reanal ys i s of the three September sampl i ngs the onl y parameters where

date was a s i g n i fi cant factor were pH and ORP I n attempt i ng to quant i fy

the i mmed i ate i mpacts of harvest i ng the removal of the January data set

can be j ust i fi ed on the bas i s that the regrowth of Hydri l l a was

essent i al l y compl ete by th i s sampl i ng and that there were no obv i ous

d i fferences between experi mental and control stat i ons The s i gn i fi cant

d i fferences between experimental and control s for DO percent saturat i on

and bottom pH however were essent i al l y the same i n th i s reanal ysi s

i mpl y i ng that the i mpacts were most marked e i ther wi th i n the th i rty days

of harves t or duri ng that part i cul ar port i on of the growi ng season

4- 1 1

The i ntens i ve fi e l d demonstrat i on sampl i ng carr i ed out on October

28 and 29 1 987 to del 1 neate the invned i ate impacts of harvest i ng was

pr i mari ly desi gned to measure turbid i ty associ ated parameters or

nutri ents rel eased from the sed iments as a resul t of the passage of the

harvester The in 1iY data co 1 1 ected however were subjected to an

ana l ys i s s i mi l ar to the above (Tabl e 4 7 ) D i fferences between harvested

and unharve sted areas were s i gn i fi cant here for a l l parameters but

pri mar i l y for the val ues at depth D i ssol ved oxygen duri ng - th i s

samp 1 1 ng however was l ower overa 1 1 i n the harvested area As water

col umn oxygen demand (BOD ) was comparabl e between transects reference to

sampl i ng t imes the majori ty after 1000 EST cl ari fy thi s apparent

d i screpancy These d i urnal cycl es are apparent i n F i gure 3 7

Duri ng the i mmedi ate impacts sampl i ng conduct i v i t i es were

s i gn i fi cant ly h i gher i n the experimental area than at the control

stat i ons wi th i n one hour of the passage of the harvester ( F i gure 4 6)

Cond i t i ons i n both areas had been comparabl e just pri or to the harvest

Th i s may i l l ustrate the rap id i ty wi th wh i ch fl ush i ng rates are i ncreased

Al l other in 1i1Y parameters wi th the except i on of percent saturat i on

exh i b i ted s ign i f i cant changes over t ime part i cul arly a t the bottom of

the water col umn These are i l l u strated for the rema i n i ng parameters i n

F i gures 3 9 through 3 1 1 where subtl e di fferences produced by harvest i ng

are superi mposed upon d i urnal cycl es The magni tude and s i gn of

d i fferences for many parameters in add i t i on to DO between harvested and

control stat i ons were heav i l y dependent on the t i me of day

Vert i cal grad i ents i n vari ous parameters were expected to be

reduced as a resul t of the removal of the advect i ve barri er of the

Hydri l l a mat and the consequent i ncrease i n wi nd -generated mi x i ng

Anal yses of vari ance of surface mi nus bottom in s i tu val ues as a s i ng l e

vari abl e were performed wi th stati ons

( harvested ) and control ( unharvested

comparat i ve ly non -weeded stat i ons ) Of

categori zed i nto experi mental

i ncl ud i ng both weeded and

the s i x sampl i ngs anal yzed i n

th i s manner surface to bottom grad i ents were most often observed for pH

DO and percent satura t i on Surface DO val ues ranged between 0 3 and 3 8

mgl h i gher (4 -46 saturat i on ) and surface pH between 0 04 and 0 2 SU

h i gher

4 - 1 2

Surface to bottom grad i ents were a 1 so apparent i n both

experi mental and control areas duri ng the immed i ate i mpacts sampl i ng of

October 28 and 29 Except for conduct i v i ty vert i cal grad i ents for these

two treatments were not stat i st i cal l y d i fferent from one another when the

fi ve post -harvest sampl i ng rounds were consi dered as a un i t Thi s

s i mi l ari ty i n grad i ents however shoul d not be confused wi t h the

d i fferences previ ousl y demonstrated between treatment areas for th i s

sampl i ng as the grad i ent anal ys i s i s concerned onl y wi th the d i fference

between surface and bottom val ues and makes no statement concern i ng the

rel ati ve posi t i ons of i nd i v i dual val ues

The fact that gradi ents were present at al l i n the harvested area

duri ng October may impl y that the d i mensi ons of the pl ot from wh i ch

HydrjJ l a was removed ( approxi matel y 6 by 1 20 meters ) were i nsuffi c i ent

for exi st i ng wi nd d i rect i on and vel oc i ty to cause substanti al mix i ng

Water depths ranged between 1 2 and I Sm These grad i ents were present

for pH DO and percent saturat i on agai n for the January sampl i ng i n both

control and experi mental transects wh i ch i s not surpri s i ng i n l i ght of

the degree of regrowth over four months s i nce harvest and the phys i cal

s imi l ari ty of stat i ons at th i s t i me

E2 Chemical Parameters

The anal ys i s of chemi cal data was desi gned to answer the fol l owi ng

questi ons for the sampl i ngs to date

o Are there detectabl e water qual i ty d i fferences between the

experimental and control stat i ons

o If there are was thi s ei ther d i rect l y or i nd i rect ly a product of

harvest i ng act i v i ty or i s i t the byproduct of stat i on l ocat i on

and the resul t of natural d i l ut i on grad i ents ( i e l oad i ng from

the Ki s s immee Ri ver or other sources )

o I f there are no s ign i fi cant d i fferences between harvested and

unharvested areas were d i fferences to be expected on the bas i s of

water mass compos i t i on

4 - 13

Where chemi cal spec i es are not d i rect ly correl ated wi th a d i st i nct

water mass or where i nputs to the water col umn are d i ffuse enough to

prevent the ma i ntenance of a spat i a 1 grad i ent or the detect i on of a

s i ngl e sourc e data analysi s i s s i mpl i fi ed to a compari son of treatment s

experimenta1 s agai nst control s Seasonal trend s i f present can be

factored i nto the stat i st i cal ana lys i s A s i mpl e compari son of harvested

aga i nst unharvested area chemi stry can al so be performed shoul d i on

content and rat i os i ndi cate that these water masses were i denti cal duri ng

sampl e col l ect i on and that d i l ut i on grad i ents can be i gnored

However when nutri ents or other spec i es are i ntroduced i nto a

system a ssoc i ated wi th a di sti nct water mass and when d i l ut i on with

ex i st i ng waters produces detectabl e gradi ents the quest i on s become more

compl ex In add i t i o n b i ol og i cal uptake wi l l produce non - l i near

rel a t i on sh i ps and the separati on of harvesti ng impacts from expected

gradi ents becomes more d i ffi cul t

The compl ex i ty of these questi ons i n the presence of d i l ut i on

grad i ents can be i l l ustrated graph i cal l y by reference to Fi gure 4 1 2

where hypotheti cal data appear In the fi rst part parameter X i s a

l i near func t i on of sod i um or i n other word s X i s a l so a con servati ve

parameter so i ts absol ute l evel i s affected onl y by d i l uti on wh i ch

mai nta i n s a constant X Sod i um rat i o Th i s regress i on would be devel oped

u s i ng one day s data from the ent i re gri d of n i ne control stat i ons across

the study s i te The hypothet ical data from a harvested stat i on (Stat i on

7 ) and the control (Stat i on 10 ) are al so pl otted It i s apparent that

wh i l e the l evel s of parameter X at the harvested and control stat i on

shown are probabl y not stat i st i cal l y d i fferent from one another the

harvested stat i on c l earl y fal l s outside of the 95 confi dence i nterval of

the X Sod i um regress ion for thi s data set and d i fferences from the l evel s

expected may refl ect harvest i ng i mpacts

In the second port i on of Figure 4 1 2 an al ternate s i tuat i on i s

i l l ustrated where the 1 eve1 s of parameter X at h arvested and control

stat i ons are shown to be c l earl y d i fferent However it i s apparent that

the water mass at the harvested stat i on i s sl i ghtl y more d i l ute and that

the correspond i ngl y l ower l evel s of parameter X are to be expected I n

4 - 14

both s i tuat i ons any b i ol og i cal processes affect i ng parameter X wi l l

produce even more compl ex rel at i onsh i ps

Sod i um and chl ori de were fi rst exami ned for i ns i g ht i nto water

mass movement and d i l ut i on processes occurri ng across the study s i te

The sum of these two i ons ( i n mi l l i equ i va1ent s ) was empl oyed a s an

approxi mat i on of total i on content They were both assumed to be

conservat i ve i e not part i ci pat i ng to any substant i al degree i n

b i ol og i cal processes where they might be sequestered or added to t he

water col umn F i gure 4 13 i l l ustrates thi s d i l ut i on process as i t occurs

across the study s i te The rat i o of sod i um to chl oride was al so

cal cul ated as an i dent i fy i ng feature of a part i cul ar stat i on

The gri d of ni ne control stat i ons was sampl ed on three occas i ons

August 1 8 September 30 1987 and January 13 1988 These data were

exami ned as t hey represented the 1 argest spat i a 1 area Anal yses of

vari ance i nd i cated that both total i on content and sod i um ch1 0r ide rati os

vari ed s ign i fi cant ly wi th respect to sampl i ng date I n l i ght of the

seasonal pattern of preci p i tat i on and the i nfl uence of ri ver d i scharge on

the area th i s was not surpri s i ng I n add i t i on however stat i on was

h i gh l y s i gn i f icant as a factor In the case of sod i um pl us chl ori de

th i s represents a change i n total i on content or d i l ut i on occurri ng

across a spat i al grad i ent ( Fi gure 4 14 ) I n the case of sod i um ch 1 0r i de

rat i os the fact that rat i os are di fferent at d i fferent stat i ons impl i es

that two or more separate water bod ies are represented across the s i te

( F i gure 4 1 5) I nteract i ve terms were al so s i gn i fi cant for each

parameter i nd i cat i ng that d i fferences were not cons i stent across t i me or

space Th i s i s apparent i n compari ng Fi gure 4 13 wi th Fi gure 4 14

As the mi xi ng of more than two water masses together woul d make

ana l ys i s of the rema i n i ng parameters extreme ly mathemat i cal l y compl ex

regress i ons of sodi um aga i n st chl ori de were performed for al l control

stat i ons on the three sampl i ng dates On each date correl at i ons for

l i near rel at ionshi ps were s ign i fi cant at pgt99 9 Th i s resul t al l owed

the use of the assumpt i on that onl y two water masses were mi x i ng across

the s i te Parameters associ ated wi th one of the two water masses coul d

therefore be detected by regress i ons on sod i um or some other conservat i ve

parameter

4 - 1 5

Anal yses of water qual i ty impacts were i n i t i al l y restri cted to

four sampl i ngs September 1 7 22 and 30 1 987 and January 13 1 988

Stat i ons 7 - 9 for experimental and Stat i ons 10 - 1 2 for control s (Stat i on

7 5 and 10 5 were used for the J anuary data set as an area wh i ch

i nc l uded Stat i on 7 had been reharvested shortl y before the sampl i ng )

S i gn i fi cant amounts of vari ati on between experi mental (Stat i on s 7

8 9 ) and control s ( Stati ons 1 0 1 1 1 2 ) as groups were found us i ng

two-way ANOVAs wi th date and treatment as factors (Tabl e 4 8 ) Al l

n i trogen and phosphorus spec i es (wi th the except i on of orthophosphate )

conta i ned s i gn i fi cant amounts of vari at i on d i stri buted between the

harvested and unharvested control stat i ons In add i t i on for BOD

turb id i ty and total suspended sol i d s d i fferences were present as wel l

As expected potassi um fl uoride chl ori de and sod i um d i d not d i spl ay

s i gn i fi cant vari ati ons between data from harvested and unharvested

stat i ons I ron copper total organ i c carbon and al kal i n i ty were al so

not s i gn i fi cant ly d i fferent between treatments

As d i scussed above however d i fferences between harvested and

unharvested areas are strai ghtforward onl y i f I water masses i n each of

the two treatment areas were identi cal or 2 the anal yzed parameter has

no s i gn i fi c ant rel ati onsh i p to a part i cul ar water mas s or to sod i um

Al though n o s ign i fi cant d i fferences i n sod i um o r chl ori de

concentrat i ons were observed between harvested and unharvested stat i ons

as a group di 1 ut i on grad i ents of these parameters were present wh i ch

paral l el ed the axi s of the harvested transects ( Fi gure 4 1 4 ) As a

resul t the data envel ope for the stati ons of a s i ngl e treatment was

l arge i n compar i son to any subtl e d i fferences between transects (F i gure

4 16 ) The fact that any di fferences were detected between experi mental

and control transects (Tabl e 4 8) impl i ed that they were substanti al

enough to overr ide the wi th i n -treatment vari abi l i ty expected from the

sod i um grad i ent S i gn i fi cance of i nteract i ve tems i n these model s

i nd i cated that d i fferences were not cons i stent from sampl i ng to sampl i ng

To d i rect l y compare harvested and non-harvested water qual i ty the

water of the two treatments must represent i dent i cal d i l ut i ons of source

and rece i v i ng waters As d i l ut i on gradi ents were roughly paral l el to the

transect axes stat i ons were pa i red and the d i fferences of experimental s

4 - 1 6

l ess control s cal cul ated for each pa i r of sod i um and chl ori de data

( Stat i ons 7 - 1 0 8- 1 1 9 - 1 2 Tabl es 4 9 4 10 ) The mean d i fferences

computed for al l sampl i ngs or for each date were on no occas i on d i fferent

from zero ( t - tests ) I n add i t i on no cons i stent pattern of d i fferences

was observed The conc1 us i on was that wh l l e di fferences 1 n the water

mass were present between stat i ons w ith i n a s i ngl e treatment harvested

stat i ons and t he i r adjacent control pai rs represented i dent i cal waters on

each date w i th respect to d i l ut i on

As water masses were i dent i cal the d i fferences i n parameter

concentrat i ons were cal cul ated for each stat i on pa i r as for sod i um and

chl ori de above These d i fferences are summari zed i n Tabl e 4 1 1 for those

parameters for wh i ch treatment was a s i gn i f icant factor i n the two-way

ANOVAs descri bed above (Tabl e 4 8 ) The magn i tudes of the d i fferences on

i nd i v i dual dates when not stat i st i cal l y equ i val ent to zero are al so

presented

Us i ng the pai red compari sons of stat i ons al l n i trogen s peci es and

total phosphorus exh i bi ted s i gn i fi cant al though subtl e d i fferences

between harvested and unharvested areas for the sampl i ngs to date (The

only date where orthophosphorus showed treatment d i fferences was on

September 22 and on th i s occas i on the magni tude was onl y 0 002 11191

1 ess than the 1 im i t of detect i on ) These d i fferences are most notabl e

for n i trate and ammon i a n i trogen and are i n add i t i on to any d i l ut i on

grad i ents across the s i te They can be presumed to refl ect the i mpacts

e i ther d i rect or i nd i rect of harvest i ng

Concentrat i ons where d i fferent were typi cal l y l arger i n the

unharvested control transect Th i s may be attri buted to e i ther uptake by

regrowth at harvested stat i ons or to the rel ease of nutri ents by

senescent macrophytes or peri phyton at the unharvested l ocat i ons

Fl oat i ng mats of Hydrj 1 1 a i n vari ous cond i t i ons were present through the

September 30 sampl i ng

B i ochemi cal oxygen demand turbi d i ty and suspended sol i d s al so

showed d i fferences us i ng stat i on pa i rs al though i n the i n stance of

suspended sol i ds concentrat i ons were sl i ghtl y h i gher at the harvested

stat i ons Wi nd -generated sed i ment resuspensi on i n harvested areas and

suspended senescent pl ant materi al i n the unharvested areas (contri but i ng

4- 1 7

to turbi d i ty and oxygen demand but wi th rel at i vely l i ttl e dry we i ght ) are

postul ated to account for these d i fferences Th i s i s supported

c i rcumstant i al l y by the l argest d i fference i n suspended sol ids be i ng

observed on September 30 when w i nd cond i t i ons were the most extreme of

any of the days sampl ed

The l argest number of parameters d i fferent between harvested and

weeded areas was al so observed on September 30 wh i l e the fewest were

seen on January 1 3 1 988 Whether th i s d i stri but i on across t ime i s a

res ul t of 1 ) vary ing nutri ent uptake rates throughout the growi ng season

2 ) the essent i al l y compl eted regrowth observed by the January s ampl i ng

3 ) the h i gher l ake l evel s and l ack of a fl oati ng mat of Hydri l l a perhaps

reduc i ng res idence t i mes of water across the s i te duri ng January or

4) the h i gher January nutri ent l evel s maki ng d i fferences more d i ff icul t

to d i scern i s i mposs i bl e to resol ve

Another techn i que for data anal ys i s was empl oyed on the September

30 and January 13 data sets for those parameters wh i ch were associ ated

wi th d i l ut i on grad i ents across the s i te Bri efl y i f the grid of control

stat i on s d i spl ayed s i gn i fi cant regress i ons with sod i um theoret ical

parameter concentrat i ons were cal cul ated for al l control and experimental

stati ons based on the observed sod i um data and that funct i on wi th the

h i ghest regress i on coeffi ci ent Res i dual s (V i - V hat) were then

compared by t - tests between means of experimental and control groups to

determi ne i f popul ati ons were the s ame (no impacts F i gure 3 1 2B) or

d i fferent ( i mpacts Fi gure 4 1 2A)

L i sted i n Tabl e 4 1 2 by date are the regres s i on types and

coeffi c i ents of the vari ous parameter concentrat i ons wi th sod i um Onl y

surface data from control stat i ons were used The vari ed nature of i nputs

to the s i te i s exempl i fi ed by F igures 4 1 7 and 4 18 dep i cti ng the vast l y

d i fferent d i stri buti ons of orthophosphorus between September and January

Whi l e rel at i vel y few parameters were apparentl y associ ated wi th

d i l ut i on duri ng the August sampl i ng the h i gher l oads i n September and

January perhaps coupl ed with sl owed uptake and growth rates duri ng the

l atter part of the year may produce l onger water col umn res idence t i mes

for nutri ent spec i es and permi t the detect i on of d i l ut i on grad i ents i n

4 - 18

these parameters Chl ori de and potas s i um and any other parameter onl y

s l ightl y affected by bi ol og i cal act i v i ty shoul d certa i nl y produce

s i gn i fi cant rel ati onsh i ps (The l ack of s i gn i fi cance of fl uor i de wi th

res pect to sod i um i s attri buted to the extremel y l ow l evel s encountered

e g concentrat i ons at or bel ow the l i mi t of detect i on for th i s

parameter )

Overal l the res i dual s anal ys i s of sod i um dependency proved l es s

sens i t i ve than that o f the pai red stat i ons anal yses O f the twenty-two

parameter-date combi nati ons where a s i gn i fi cant regress i on wi th sod i um

was obtai ned res i dual s of experimental stat i ons were s i gn i fi cant ly

d i fferent from res i dual s from control stat i ons for onl y three parameters

- - orthophosphorus and al kal i n i ty duri ng September 30 1 987 and n i tri teshy

n i trogen dur i ng January 13 1 988 Figure 4 19 superimposes the

experi mental stat i on orthophosphorus concentrati ons upon the rel at i onsh i p

devel oped for control stati ons i n September I t can be seen here that

the experimental stat i ons (X) are not evenl y d i stri buted around the

regress i on l i ne

Orthophosphorus concentrat i ons on th i s occas i on were l ower i n

the experi mental transect but onl y by 0 002 mgl l ess than the l i mi t of

detect i on Al kal i n i t i es at these stat i on s were h i gher than sod i um

concentrat i on s mi ght pred i ct by about 9 mgl as CaC03 Duri ng January

n i tri te - n i trogen was al so l ower at the harvested stat i ons than woul d be

expected on the bas i s of d i l ut i on al one but aga i n by l ess than the l imi t

of detect i on

As troph i c states and nutri ent l i mi tati ons wi thi n Lake Okeechobee

area of concern rati os of d i ssol ved and i norgan i c n i trogen to phosphorus

spec i es were cal cul ated and summari zed i n Tabl e 4 1 3 On a we ight bas i s

systems wi th rat i os l ess than 1 0 are typ i cal l y cons i dered n i trogen

1 i mi ted wh i l e phosphorus 1 im i tat i ons occur at rat i os greater than 1 7

( Sakamoto 1 966) Wi th th i s cr i teri on the waters o f the study s i te are

cl earl y n i trogen l imi ted i n contrast to al gal assays performed i n the

v i c i n i ty duri ng 1 974 and 1 975 ( Dye et al 1975 ) These resul ts have the

most consequences for phytopl ankton popul ati ons rather than macrophytes

as the rooted pl ants are capabl e of extracti ng at l east some i f not the

majori ty of thei r requ i red nutri ents from the hydroso i l

4 - 19

The stati st i cal anal yses d i scussed earl i er for the i ndi vi dual

parameters determi ned i norgan i c ni trogen spec i es to be h i gher i n the

unharvested control stat i ons and orthophosphorus to be s l i ghtl y l ower

ANaYA s of N P rat i os al so found s i gni fi cant d i fferences The treatment

( harvested or unharvested ) or stat i on was more important than date i n

account i ng for vari ati on Al l September and January sampl i ngs combi ned

produced mean N P rat i os for the harvested stat i ons ( 7 - 9 ) of 3 0 and for

the unharvested d i fferences coul d be attri buted e i ther to uptake by

act i vel y growi ng p l ants or to rel ease of nutri ents by senescent p l ant

materi a 1 Oi fferences between harvested and nonharvested areas were

l east apparent duri ng the January sampl i ng when ri s i ng l ake l evel and

Hydri l l a regrowth combi ned to i ncrease stat i on to stat i on phys i cal

s i m i l ari t i es

E 2 Bacteri ol ogi cal Parameters

Resul ts of total col i form anal yses (membrane fi l ter techn i que) of

sampl es col l ected on August 18 September 1 7 22 30 1987 and January 13

1 988 appear in Tabl es 4 1 4 After the August fi e ld effort sampl es were

col l ected i n conjuncti on wi th the phytopl ankton work and al l sampl es were

anal yzed by EQL Overal l bacteri ol ogi cal qual i ty was qu i t e good wi th

on ly a s i ngl e sampl e exceed i ng the 1000 counts per 100 ml cri teri on for

Cl ass I waters Th i s s i ngl e val ue of 5000 (Stat i on 1 1 September 30

1 987 ) was cl as sed as a stat i st i cal outl i er for the study as a whol e The

other two val ues from sampl es col l ected s i mul taneously were 900 and

100100 ml Most stat i on means were bel ow 200 countslOa ml

Stat i st i cal anal yses of these data empl oyed natural l og

transformat i on s Two way ANaYA s (by date and treatment and by date and

s t at i o n ) prod uced s i gn i fi cant terms for date and i nteract i ve

rel at i onsh i ps however nei ther harvesti ng nor stat i on accounted for

s ign i fi cant amounts of vari at i on Further anal yses cons i sted of mul t i pl e

l i near regress i ons of l og transformed total col i form counts aga i nst BOD

turb i d i ty total suspended sol i d s sod i um and chl ori de content ( as water

mass i ndi cators ) col or and s i l i cates A s i gn i fi cant regress i on model

whi ch i ncl uded BOD col or and TSS was obtai ned (r2 = 0 255 n 72) A

4 -20

d i rect rel ati onsh i p wi th BOD was not surpri s i ng The vari at i on wi th

col or val ues may be support for runoff control l ed bacteri a l evel s in the

l ake i ncreas i ng duri ng peri ods of h i gh d i scharge or backpump i ng (wh ich

are themsel ves characteri zed by i ncreased col or l evel s from t he

accumul ated surface waters An i nverse rel at i onsh i p w i th TSS l evel s was

l ess amenabl e to i nterpretat i on and i s l i kely to have been an art i fact of

some other control l i ng i nfl uence

IV E WATER QUALITY IMPACTS - QUALITY ASSURANCE OBJECTIVES

Prec i s i on and accuracy targets and resul ts for in ll1Y water

qual i ty parameters are presented in Tabl e 4 1 5 Prec i s i on est i mates were

based on dupl i cate in 1iY determi nat i ons expressed as percent rel ati ve

standard devi at i on (S RSD) Measurements at one stat i on per day were

typ i cal l y repl i cated i n thi s fash i on Prec i s i on est i mates for fi el d

measurements necessari l y i nc l uded the representati veness of the sampl i ng

as any non - homogene i ty of the s i te bei ng sampl ed appeared i n these

resul t s

Accuracy was determi ned from both pre- and post - sampl i ng

cal i brat i on of i nstrumentati on and where appl i cabl e the s i mu l taneous

col l ect i on of sampl es for l aboratory analysi s wi th al ternate procedures

or equ i pment Thi s was expressed as percent recovery ( R) of

f i el dl aboratory val ues t i mes 1 0 Col l ect i on of sampl es for

veri f icat i on was typi cal l y conducted at a rate of 1 for every 1 0 stati ons

samp l ed For th i s project di ssol ved oxygen and conducti v i ty were so

veri fi ed

Comparabi l i ty o f data was veri fi ed duri ng the pre- and postshy

sampl i ng cal i brati ons of i nstrumentat i on aga i nst standard sol ut i ons or

phys i c al constants Compl eteness of in 1iY data was esti mated to be

greater than 88 throughout the sampl i ngs to date

The qual i ty assurance object i ves for l aboratory anal yses were

anal ogous to those d i scussed for the i n s i tu parameters and are l i sted i n

Tabl e 4 14 Prec i s i on esti mates were determi ned from the anal yt i cal

resul ts and SRSD between the concentrati ons of two al i quots of a s i ng l e

conta i ner Dupl i cate analyses were performed at a rate of at l east one

4 - 2 1

for every ten sampl es The RSD between sampl es only sl i ghtly above the

l i mi t of detect i on i s often qu i te h i gh al though the analys i s i s

extremel y prec i se ( L e 0 001 and 0 002 11191 47 1 RSD ) Some mean

tRSD val ues and SD val ues are skewed by these seemi ngl y i mprec i se

dupl i cates that are actual l y wi th i n QA l i mi ts Accuracy of analyses was

assessed by the analys i s of sampl es to wh i ch known amounts of standard

materi al s had been added

IVG I NTERIM SUMMARY AND CONCLUSIONS

The study area i mmedi ately south of the entrance of the Ki s s 1mee

R i ver i nto Lake Okeechobee represents a compl ex combi nat i on of factors

wi t h regard to water qual i ty Vari at i ons with t i me were observed for

almost al l parameters measured D i ssol ved oxygen v i ol at i ons of the 5 0

11191 i nstantaneous cri teri on were common and d i urnal cycl es of DO and

rel ated parameters were apparent The skew i n sampl i ng t i mes toward the

morn i ng hours undoubtedly i ncreased the number of observed v i ol at i ons

a l though sampl i ng l ater i n the afternoon woul d i ncrease the percent

saturat i on of d i ssol ved gases and val ues i n excess of the 1 10 cri terion

wou l d have resul ted

In li1Y parameters were i n i t i al l y eval uated for stat i st i cal

d i fferences between harvested and unharvested stat i ons as a grou p

Di fferences i n DO percent saturat i on and p H were observed and were most

marked at the bottom of the water col umn and duri ng the September

sampl i ngs Pred i ct abl y harvesti ng reduced the ampl i tude of the d i urnal

DO cycl e such that DO concentrat i ons were h i gher i n the harvested

transect i n the morn i ng hours and l ower duri ng the afternoon Both the

magn i tude and the d i rect i on of the observed d i fferences were therefore a

funct i on of the t i me of sampl i ng

A rap i d change i n water masses was al so observed at harvested

stat i ons and th i s was attri buted to the i ncreased fl ush i ng potent i al

produced by Hydri l l a removal Inten s i ve surveys detected vert i cal

grad i ents of s i mi l ar magn i tudes for i n s i tu parameters at both harvested

and control stati ons The s i ze of the harvested transect may have been

too smal l to al l ow wi nd-generated vert i cal mi xi ng to be effect i ve

4-22

Bacteri ol og i cal water qual i ty at the s i te was good overal l wel l

wi th i n the 1000 1100 ml cri teri on and correl at i ons w ith col or BOD and

TSS were present Col or rel at i onshi ps i ndi cate a functi onal rel at i onsh i p

of total col i form wi th d i scharge i nto the l ake whi l e the rel at i onsh i p

wi th TSS was i nverse

Chemi cal water qual i ty d i stri but i ons at the s i te were a l so qu i te

compl ex Spat i al and d i l uti on grad i ents produced by the i nfl uence of the

K i s s i mmee Ri ver were qu i t e apparent as determi ned by conservat i ve

parameters such as sod i um and chl ori de The d i l ut i on grad i ents were

roughl y paral l el wi th the l ong axi s of the harvested transects such that

a progress i on of i ncreas i ng strengths of Lake Ri ver d i l ut i ons were

observed al ong both the experimental harvested transect and the adjacent

unharvested control transect Thi s transl ated to a h i gh wi th i n -treatment

va ri a b n i ty of water masses compared to the between- treatment

vari abi l i ty wh i ch i n turn may obscure d i fferences between harvested and

unharvested areas i n stra ightforward stat i st i cal compari sons

Overal l stat i sti cal techni ques were sat i sfactory because the

number of sampl es adequate for determi ni ng di fferences i n concentrat i ons

was at or near the analyt i cal l imi ts of detect i on The three stat i st i cal

anal yses were 1 ) d i rect compari sons (means test i ng and ANOVA s ) of

harvested to unharvested data sets 2) ana lys i s by d i fference of stat i on

pa i rs ( harvested l ess the adjacent control stati on) and whether

d i fferences were stat i sti cal l y d i fferent from zero and 3) res i dual s

anal ysi s of those parameters wi th a s ign i fi cant rel at i onsh i p w i th sod i um

and whether the popul ati on of res i dual s from control stati ons was

equ i val ent to those from the harvested stati ons

Ana lys i s of harvested versus unharvested data groups by parameter

reveal ed s i gn i fi cant d i fferences between treatments for al l n i trogen

spec i es total phosphorus BOD turb id i ty and total suspended sol i ds

These d i fferences are i n sp i te of the broad envel ope i n water qual i ty

conta i ned wi th i n each treatment type However d i rect compari sons and

correct est i mati on of the magni tude of harvest i ng impacts are poss i bl e

onl y where the water masses of the two treatments can be assumed to

represent equ i val ent po i nts on the d i l ut i on grad i ent

The d i fference i n sod i um and chl ori de concentrat i ons between each

harvested stat i on and i ts adjacent unharvested stat i on was cal cul ated

For al l dates these d i fferences were equ i val ent to zero mean i ng that

the water mass was i dent i cal at Stati ons 7 and 10 at Stat i ons 8 and 1 1

and at Stat i ons 9 and 1 2 The d i fferences i n concentrat i ons between the

stat i on pai rs cou l d then be calcul ated Al l n i trogen spec i es and total

phosphorus concentrat i ons were typ i cal l y h i gher i n the unharvested

transect On the one occas i on where orthophosphorus d i ffered between

treatments i t was s l i ghtl y h i gher i n the harvested transect Turbid i ty

and BOD were al so h i gher at the control stat i ons wh i l e total suspended

sol i ds were sl ightly l ess Uptake by macrophytes i n act i ve regrowth

rel ease o f nutri ents by senescent and matted pl ant mater i al and wi nd shy

generated resuspens i on may account for thi s pattern

Ana lys i s of those parameters associ ated wi th d i l u t i on and of those

wi th s i gn i fi cant correl at i ons wi th sod i um proved l ess sens i t i ve for

detect i ng d i fferences Al though many parameters d i spl ayed s i gn i f icant

rel at i onsh i ps the i r d i stri but i on around the regress i on l i ne was

cons i derabl e and res i dual popul at i ons were s i gn i fi cantly d i fferent

between treatments for only three parameters

The s i te as a whol e appeared to be n i t rogen 1 i mi ted based on

we i g ht r at i os of i norgan i c n i trogen forms to orthophosphorus

O i fferences between harvested and unharvested areas were apparent here

al so w i th average rat i o s of 3 0 and 9 4 respect i vely

IVG RECOMMENDATIONS - FINAL REPORT

For the rema i n i ng two quarterly sampl i ngs i n th i s task a

real l ocat i on of effort i s proposed wh i ch woul d del ete copper and fl uori de

from the anal yt i cal su i tes These two parameters were e i ther at or near

the 1 im i ts of analyt i cal detect i on for al most al l s ampl es and

stat i sti cal analyses were not effect i ve i n determi n i ng any d i fferences

attri butabl e to harvest i ng at these l ow concentrat i ons N i tri teshy

n i trogen however shoul d be reta i ned Al though l evel s were l ow they

are i mportant i n th i s n i trogen 1 i mi ted system and d i fferences between

treatments were apparent The Ki ss i mmee R i ver stat i on shou l d cont i nue to

4-24

be sampl ed and another stat i on shou l d be added to the west of Stat i on 1

toward Buckhead Ridge as an i ntermi ttent nutri ent i nput may be present

there Mon i tori ng of these two add i t i onal stat i ons shou l d cont i nue for

al l parameters In pl ace of copper and fl uor ide anal yses d i ssol ved

cal c i um i s suggested as a repl acement to prov ide a bas i s of compari son

wi th other work done prev i ously i n the l ake and to exam i ne i ts behav i or

across the s i te The poss i b i l i ty of mov i ng the exper imental and control

stat i on pai rs ( Stat i ons 7 - 1 2 ) to the most recently harvested area for the

subsequent sampl i ng i s currentl y be i ng d i scussed wi th the task l eaders of

the i nter-rel ated tasks

Future data exami nat i ons wh i ch wi 1 1 be conducted for the fi nal

report of th i s project i ncl ude the deta i l ed assessment of l i ght

penetrat i on profi l es and the effect of the weed mat upon these The data

from the 24 hour fi el d demonstrat i on sampl i ng wi l l be eval uated w ith

regard to chemi cal parameters and the i mmedi ate effects produced by

harvest i ng S i l i cates col or and i norgan i c carbon data wi l l be

processed as wi l l the rema i n i ng parameters for d i fferences between

experi mental and control stat i on s and a further anal ys i s of d i ssol ved

oxygen wi th cons i derat i ons for t i me of day vegetat i on and even sed i ment

type wi l l be conducted

4-25

LITERATURE CITED

Dye C W D A Jones L T Ros s R L Wi l l more 1 975 L imi t i ng nutri ents i n the Ki ss i llll1ee Ri ver - Lake Okeechobee Bas i n based on al gal assay techni ques Fl a Dept Envi ronmental Regul at i on Sakamoto H 1 966 Pri mary product i on by phytopl ankton conununi ty i n some Japanese l akes and i ts dependence on l ake depth Arch Hydrobi ol 62 1 - 28

4-26

Table 4 1 Mean IDran coordinates of water quality staticns

STATIOO NO

1 2 3 7 7 5 8 9 10 10 5 11 12 13 15 16

Ipound)RAN 1 JPRAN 2

14313 2 45453 2 14312 6 43449 1 14312 4 43445 9 14313 6 43449 1 14313 4 43448 2 14313 2 43447 7 14312 9 43446 1 14313 7 43448 5 14313 5 43447 7 14313 4 43447 3 14312 9 43445 7 14315 1 43444 6 14313 9 43443 2 143109 43437 8

Table 4 2 water Quality parameters methods ard holdirq times

Parameter

TeJlFerature Corrluctivity pi ORP Dissolved Oxygen Light Penetratim Secxhl laboratory 0rthqil0spl0rus (D) Total AlosJtIorus (D) AImalia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrogen (D) Total Kjeldahl Nitrogen ium (D) Ccgler (D) Iran (D) Total OJgan1c carbon Alkalinity Biochemical Oxygen DeuanI lu1)idity SUspenled Solids Ibtal Ollifonn auoride Scdium Fluoride Color silicates (D) Inorganic Cartlon

MetbodlInstrument

Martek Mark VII Martek Mark VII Martek Mark VII Martek Mark VII YSI 57 LiOlr Secxhl Disk (LiDngtlogical)

EPA 365 1 365 3 EPA 365 3 365 4 SM 417F EPA 350 3 EPA 353 3 353 3 EPA 353 2 353 3 EPA 351 2 SM 30lA SM 303A B SM 303A B EPA 415 1 8M 403 4C EPA 3102 EPA 405 1 EPA 180 1 SM 2090 8M 908A 909A SM 4070 EPA 325 3 SM 303A EPA 3402 SM 204A B EPA 370 1 SM 425C EPA 415 1

Holdirg TimePreservative Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable Not awlicable

Filter iDmSdiately 48 hrs4Oc 28 daYSH2S04 to pllt2 40c Filter bImadiately 28 daYSH2S04 to pllt2 40c Filter bImadiately 48 hrsH4 to pllt2 40c Filter iDmSdiately 28 daYSH4 to pHlt2 40c 28 daYSH2S04 to pllt2 40c Filter iDmSdlately 6 1IDSIftll) to pllt2 40c Filter iDmSdiately 6 1IDSIftll) to pllt2 40c Filter inmediately 6 1IDSIftll) to pHlt2 40c 28 daYSH2S04 to pIlt2 40c 14 days4oC 48 hrs4Oc 48 hrs4Oc 7 days4Oc 6 hrs4Oc 28 days4Oc Filter inmdiately 6 lOOIlthslftll) to pIlt2 40c 28 days4Oc 48 hrs4Oc 28 days4Oc 28 days4Oc

EPA = EPA 6004-7920 Methods for OJemical Analysis of water ard wastes SM = stanIard Methods for the Examination of water ard wastewater 15th Fdition 1980 (D) = Dissolved

Tabl e 4 3

Date

Aug 18 1987

Sept 17 1987

Sept 22 1987

Sept 30 1987

Oct 28-29 1987

Jan 13 1988

Sampl i ng efforts and dates Water Qual i ty Tas k

Sampl i ng Type

Basel i ne

Short Term Impacts

Short Term Impacts

Quarterly

F i el d Demonstrat i on

Quart erly

No of Stat i ons

9

6

6

12

6

12

No of V i al s

1

1

1

1

6

1

Table 4 4 site averages of in situ parameters by sanplirg date all stations all depths

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 28 18 18 36 144 68

2 SD 2 S D 2 S D S( S D S( S D 2 SD

onluctivity 0 5350 0661 0 5397 0351 0 5074 0550 0 4985 0517 0 3921 0731 0 3017 0895

ORP 493 109 441 42 298 77 293 47 295 31 247 55

Pi 8 02 0 55 8 27 0 34 7 56 027 7 47 043 7 72 0 51 7 59 0 30

lenperature 28 95 144 27 34 0 50 27 23 054 26 67 041 23 11 099 16 67 078

Dissolved Oxygen (00) 5 02 3 20 3 51 2 20 2 87 1 32 5 11 2 28 664 2 25 8 16 1 58

PeJta1t SaturatiCBl 66 1 42 9 44 4 27 9 36 3 16 7 64 0 28 6 77 8 269 84 0 16 7

00 cbs lt1 0 nql 128 318 218 336 0144 168

00 cbs lt4 0 nql 1428 U18 1318 936 14144 168

00 cbs lt5 0 ugII 1428 1218 1618 1536 41144 268

Table 4 5 Site averages of water quality parameters by sanplirg date all stations all depths

1987 l2sectsect AU 18 SEP 17 SEP 22 SEP 30 ocr 28-29 JAN 13

n 39 18 18 48 7 3 54 K SD K SD I SD K S D K SD K SD

0rthqil0sJil0 0 019 0 007 0 017 0 005 OOll 0 003 O OlS 0 014 0 033 0 011 0 082 0 045 Total rus 0 07 0 11 0 10 0 01 0 08 0 01 0 09 0 03 0 12 0 06 0 15 0 05

Anrncnia-nitrogen 0 039 0 018 0 04 5 0 042 0 017 0 012 0 012 0 017 0 040 0 029 0 04 6 0 036 Nitrite-nitrogen 0 004 0 001 0 005 0 004 0 004 0 001 0 003 0 003 0 004 0 001 0 008 0 004 Nitrate-nitrite-nitrogen 0 009 0 003 0 034 0 036 0 039 0 021 0 048 0 046 0 038 Q 019 0 190 0 039 Total Kjeldahl nitrogen 1 52 0 26 1 75 0 15 1 55 0 28 1 47 0 18 1 29 0 20 1 20 0 17 Potassium 4 4 0 9 4 7 0 3 4 5 0 3 4 2 1 0 2 9 0 5 3 9 1 0

Cqpar 0 003 0 002 0 003 0 002 0 003 0 001 0 002 0 001 0 001 0 001 0 002 0 002 Iron 0 002 0 002 0 014 0 007 0 014 0 007 0 015 0 019 0 048 0 018 0 090 0 031 ampxlium 4 8 9 7 6 47 3 4 6 46 9 4 7 49 0 9 4 31 0 8 9 28 2 8 1 Olloride 8 5 8 13 1 79 6 6 4 76 5 8 6 76 2 10 0 55 9 14 9 48 2 16 7 Fluoride 0 3 0 03 0 3 0 05 0 3 0 03 0 3 0 04 0 1 0 03 0 2 0 03 lbtal organic carlxln 2 1 7 1 6 17 9 0 9 18 1 0 8 18 4 1 0 19 7 2 5 18 4 3 0 Alkalinity 105 14 117 5 113 8 1U 10 7 3 15 68 lS Biochemical oxygen deHard 1 9 1 0 2 7 1 3 2 2 0 6 2 3 1 2 1 5 0 7 1 1 0 6 lubidi ty 2 4 1 9 4 2 0 9 4 1 1 5 4 0 2 9 3 1 2 5 3 7 2 1 Total susperded solids 3 3 3 3 6 0 2 3 5 7 2 4 6 3 4 7 4 5 3 9 3 1 4 1 Oller 61 5 66 9 81 9 113 10 silicates 12 8 2 2 13 1 2 2 12 0 3 0 5 4 0 5 Inorganic carlon 17 4 4 3 19 9 2 8 20 4 4 4 11 9 5 2

11=18

Table 4 6 site averages of water quality parameters for the KissiJulse River by sanpling date

1987 1988

AU 18 SEP 17 SEP 22 SEP 30 JAN 13

0 032 0 096 0 12 7 0 116 0 063 Total (ilcsphorus 0 09 0 18 0 20 0 20 0 12 Almalia-nitrcgen 0 021 0 036 lt0 005 0 017 0 069 Nitrite-nitrcgen lt0 005 lt0 005 lt0 005 lt0 005 0 027 Nitrate-nitrite-nitrogen 0 012 0 009 0 072 0 188 0 151 Total Kje1dahl nitrogen 0 51 1 39 1 40 1 12 1 08 Ibtassium 3 7 3 6 3 5 2 9 3 2

((gler 0 003 0 003 0 004 0 001 lt0 001 Iron 0 008 0 085 0 095 0 172 0 225 Sodium 3 3 4 2 6 5 24 2 2 1 0 15 0 Olloride 60 6 47 8 4 1 9 38 7 23 7 Fluoride 0 3 0 3 0 3 0 2 0 2 Total organic cartxn 19 6 19 5 19 9 18 8 17 4 Alkalinity 89 7 3 66 57 34 Biochemical oxygen daDaM 2 4 3 0 1 5 1 3 0 5 lJnbidity 3 0 3 9 2 7 2 3 2 3 Total suspenied solids J 9 4 8 4 0 2 5 2 0 Color 110 130 130 125 Silicates 6 58 6 42 5 67 3 17 Iooxganic carbon 4 4 9 6 7 2 1 1

Tabl e 4 7 S i g n i f icant F middot test rat i os for two-way ANOVA s by treatment and samp 1 1 ng round for in illY data co 1 1 ected duri ng fi el d demonstrat i on samp l i ng October 28-29 1987

FmiddotTET RAT IOS

TREATMENI ROUND INTERACTION (Exp vs control ) (1-5 only ) (Treatment x Round )

CONDUCTI V lTV Surface 25 99 1 14 56 Bottom 28 3 5 4 26 1 6 73

ORP Surface 2 1 10 Bottom 5 35

pH Surface 32 67 33 10 Bottom 1 1 1 5 4 5 1 4 48

Temperature Surface 104 64 Bottom 21 95 1 1 73 8 17

D i s sol ved Surface Oxygen Bottom 14 1 5 7 98 5 20

Saturat i on Surface Bottom 7 66 3 87

df df error bull 20 F 0 05 [df 20 ] bull

1

4 35

4

2 87

4

2 87

Table 4 8 Significant F-test ratios fnD two way analysis of variane by date ani treatment statiCllS 7-12 only Septedler 17 22 30 1987 ani JanJaIY 13 1988 data

rus dissolved Total pnsphorus Anroonia-nitrogen di ssolved Nitrite-nitrogen dissolved Nitrate-nitrite-nitrogen dissolved Total Kjeldahl nitrogen RltassilDU di ssel ved Cqpr di ssolved Iron dissolved Total organic car1xXl Alkalinity Biochemical oxygen demard TUlbidi ty Total suspenied solids Chloride SOdilDU Fluoride

Degrees of freedaD

Degrees freedan of error = 64

F 0 05 [df 60]

595 12 31 05

4 09 96 71 51 06 31 28

225 02 6 34

424 47 23 36 18 32 28 69

171 46 145 71

49 55

3

2 76

lREMMENl ( vs cxmR)L)

10 24 4 81

17 59 12 57

6 75

6 31 24 03 22 36

1

4 00

3 89

4 64 4 94 5 08

3

2 76

Table 4 9

09-17-87

09-22-87

09-30-87

01-13-88

x = -0 1778 S = 2 7444

Scxtium statioo means Harvested ani unharvested statioo pairs

ScxUum station Means Difference

ExIJerirental COntrol (E-C)

44 5000 42 4000 2 1000 44 3667 4 8 9000 -4 5333 4 9 9667 53 6000 -3 6333

4 3 3000 4 3 9333 -0 6333 4 6 7333 4 2 4000 4 3333 53 1667 51 9333 1 2334

4 1 7667 4 2 5333 -0 7666 4 2 4333 46 0333 -3 6000 4 5 9333 44 2000 1 7333

2 3 4000 2 1 6667 1 7333 25 8667 24 3667 1 5000 26 4333 28 0333 -1 6000

Units are rrgJl

Sn-l

-2 0222 3 5982

2 1611 2 4800

-0 8778 2 6684

0 5444 1 8608

Table 4 10 Chloride statioo means Harvested ani Ulharvested statioo pairs units are ugll

Chloride station Means Difference

Experimental orttrol (E-C)

09-17-87 74 8000 75 4000 -0 6000 78 5000 74 5667 3 9333 0 1444 3 4769 85 5667 88 4667 -2 9000

09-22-87 67 8000 77 0667 -3 2667 74 2000 71 0333 3 1667 1 5778 4 2774 89 9333 85 1000 4 8333

09-30-87 70 1333 71 0667 -0 9334 71 5667 72 3000 -0 7333 -0 4333 0 7000 7 3 3000 72 9333 0 3667

01-13-87 38 2667 3 6 8000 1 4667 44 2000 40 7000 3 5000 1 6556 1 7576 4 3 7000 43 7000 0 0000

Table 4 11 Magnitude of significant differerrss between means of experimental ani onbol transects CCI1igtined ani tri individual dates Units are Dgl

All dates 091787 092287 091087 011388

dissolved 0 002 Total (i1osIi1oros -0 010 -0 024 Almalia-ni trogen

dissolved -0082 -0 060 -0 016 Nitrite-nitrogen di sselved -o OOl -0 004 -0 002 -0 005 -0 001 Nitrate-nitrite-nitrogen -0 029 -oOl2 -0 077 Total Kjeldahl nitrogen -0 10 -020 Potassium di ssel ved -ol Copper dissolved Ian d j ssel ved Total otganic carbal Alkalinity Biodlemical oxygen demand -05 -1 7 llrbidi ty -1 5 -1 l -l 6 Total suspenJed solids 4 7 4 7 4 8 7 0 2 5 OJloride 17 Sodium Fluoride OOl

nql as caC03 NIU

Table 4 12 Reqressioo type ani oorrelatioo ooefficients (r) of sodium vs parameters listed by date r 95 = 0 381 r 99 == 0 48 7

dissolved Ibtal rus Anmlnia-nitnlgen di ssolved Nitrite-nitnlgen dissolved Nitrate-nitrite-nitroqen di ssolved Ibtal Kjeldahl nitroqen RgttassilDU djssolved Qgler di ssolved Iron di ssolvEd Ibtal organic carbon Alkalinity Bioci1emical oxygen demard llrbidity Ibtal suspeOOed solids Q1loride Sodium dissolved Fluoride

L - Linear IN - lDgarithmic E - Exponential P - IOwer

AOO 18 1987

[

E 0 4941

L 0 4816

p -0 8711

E -0 6102

p 0 9460

E 0 3801

SEP 30 1987 JNf 13 1988

[ r

IN -0 8223 L 0 9093 E -0 8675 L 0 8980

L 0 6168 IN -0 4739 E -0 6466

E -0 4185 L 0 8998 L 0 4144 L 0 9056

L -0 3802 IN -0 4440 E -0 3971 L 0 7797 IN 0 6093 IN 0 9617 E -0 5350 E -0 8068 E -0 7956 L 0 9608 IN 0 9619

n == 27

Tabl e 4 13

STA

7

8

9

10

1 1

1 2

Mean N i trogen Phosphorus rat i os by date for experimental and control stat i ons Inorgan i c and d i ssol ved spec i es only Un i ts are mgNmgP n-3 for each mean

SEP 1 7 SEP 22 SEP 30 JAN 1 3 II S D II S D II S D II S D

1 90 1 06 2 12 0 1 1 1 64 0 82 3 97 0 25

3 00 3 46 4 1 2 1 3 1 1 96 0 76 3 27 0 03

2 94 4 06 1 90 1 03 4 69 0 75 3 77 0 04

7 25 3 30 4 88 0 49 2 94 0 51 4 0 1 0 1 3

6 28 2 30 8 92 2 27 9 85 3 08 3 38 0 14

7 94 4 35 1 2 25 0 22 28 3 1 8 94 4 00 0 18

Table 4 14 Quality assuraJICIe targets and nasults for precision and aouracy lake Okeechobee

(D) Total Ftloeqilorus Al1mlnia-Nitrogen (D) Nitrite-Nitrogen (D) Nitrate-Nitrite-

Nitrogen (D) lbtal Kjeldahl Nitrogen Rltassium (D) Cqpar (D) Iron (D) Total Organic carlxln Alkalinity Biochemical OXygen Demand l1rbidi ty Total SUspenled Solids Olloride Sodium (D) Fluoride Silicates (D) Inoxqanic carlxln Color Dissolved OXygen Carrlucti vi ty Tenperature PI

Precisicra

x RSD S D

3 5 3 5 5 6 7 8 1 2 5 7 4 5

2 4 4 5 7 8 3 3 3 3 12 13 2 2 4 5 13 11 1 2 4 5 3 2 5 6 2 3 4 4 2 2 3 2 3 4 13 11 1 2 3 5 5 8 5 4 2 3

Aauracy x Recovery SD

93 6 - 97 6 94 8 - 102 8 99 5 - 957 98 8

99 8 - 98 8 111 17 111 18 100 4 101 5 101 8 106 11

97 11 1004

99 6 99 7 104 5

98 12 96 8 97 11

102 7 101 12 102 5

99 4 99 3

RESUIIIS Precisicra Accuracy

n x RSD SD n x - Recovery

31 2 7 3 4 19 92 5 35 3 1 2 9 20 94 0 20 4 6 6 9 22 97 1 21 0 9 4 4 18 98 8

28 3 1 3 7 26 96 1 31 2 2 2 5 22 107 4 30 3 3 3 0 32 1002 34 4 7 7 0 23 100 3 18 3 9 3 0 23 98 1 86 3 1 2 6 26 98 3 24 98 2 1 95 33 1 1 71 6 3 10 9 28 2 4 2 5 29 8 6 6 1 30 0 26 0 5 19 96 3 3 3 1 9 2 3 31 93 7 30 2 6 2 2 17 1009 14 52 07 8 98 7 62 4 8 3 1 6 105 2 10 0 3 0 6 6 102 9

6 3 1 3 5 16 102 6 9 1 3 1 3 16 99 2

10 0 54 0 62 6 100 1 10 1 18 1 35 12 1007

SD

3 1 6 0

10 0 3 3

6 7 8 7

16 5 3 1

20 6 16 8

1 4

6 0 14 0 11 2

3 9 7 5

11 2 9 2 1 71 1 94 3 99

I I

1

H A R V E S T I N G T R A N S E C T S (l m E X P E R I M E N T AL T RA N S E C T S

middot middot middot middot middot middot middot middot middot middot A PP R OX I M A T E W E E D L I N E

I - I t middot I I I I I )-I t-I sect )- 0

f- 0 Z LIJ J LIJ 01 a o 0 C) l LlJ O degl LIJ laquo LIJ J1 w 0

middot

middot middot

1111 111 bull

m

middot

middot

middot

LAKE OKEECHOBEE

-

N O R T H L A K E S HO A L

F i g u re 4 1 P ro p o sed harves t i ng a rea La ke O keechbee Demo n s t ra t i on Proj ec t

Fi g u re 4 2 Proposed harvest i ng a rea Lake Okeechobee Demonstra t i on Area

M A R K E D S U P PORT ---- t

LIN E

OUTER POLYETHY L E N E

S C R E EN (COA R S E)

TYGON I-----TUBING

)----- CLA M P

INNER POLYETHYL E N E

S C R E E N (093 0 m m MESH)

RoH----- PVC BODY AND END CAPS

-----OPT IONAL W E IGHT

F i gure 4 3 Weed excl uding device for water samp l e col l ection

[=J H A R V E S T I N G T R A N S E C T S 1 1 E X P E R I M E N T A L T R A N S E C T S A PP R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

middotmiddot 1 I middot D r nnn I 2 - I UUU I

1 I-

I I I I I I sect

gt- 1 0 I- 0 ZI UJ l UJ degl aJ o 0 en I UJ 0 Cl UJ laquo UJ -J I (I 0

-

N O R T H L A K E S H O A L

Fig ure 4 4 Bas e l ine sam p l ing S tation locations Aug u s t 18 1987

H A RV E S T IN G T R A N S E C T S

Im1 E X P E R I M E N T A L T R A N S E C T S

A P PR O X I M A T E W E E D L I N E

J 1

t middot I I I I f I 1 )shyI I-I

)- 1 0 I- U zl LaJ J LaJ degl aJ U 0 ClJI J LaJ U c lIJ ct lIJ

-I I 0 () O

LAKE OKEECHOBEE

u middot

N O R T H L A K E

S H O A L

( t _ _ -J--=--=r= _ _ _ C_OJlt bull bull t== a _ 1 _ ___ - _

_ If-_r-=-

-

F i gu re 4 5 Immed i ate i mpacts s amp l i ng S ta ti o n l ocati on s September 1 7 22 1 987

U C I bull

UC2 bull

U C 3 bull

Fi gu re 4 6 Fi e l d demons tra ti o n samp l i ng Sta t i on l oc a t i ons Oc tober 2 8 29 1987

Di sso lved Oxyg e n 1 4--------------------------------------------------------

1 2

1 0

8 -

6 middot

2--------_----------_-------------------------- 1 2 3 4 5 6

Ro u n d

-e- C 1 - S u rface o C 1 - Bottom

bull UC 1 -Su rface UC 1 -Bottom

F i g u re 4 7 Fiel d demons trati on samp l i ng Di ssol ved oxygen a t ha rvested (C) a nd unha rvested ( UC ) sta ti ons over a 24 hr peri od Uni ts are rug l

C on d u ctivity 6 bull CJ - S u rfa ce

B CJ-Bottom

bull UCJ-Surface

55 lIP U C3 -8ottom

5

45 -

4 --

35

3-----------1r----------r-------------------------

1 2 4 5 6

R o u n d F i gure 4 8 F i e l d demons tra ti on samp l i ng Conduc t i v i ty a t harve s ted ( C ) a nd u nha rves ted ( UC ) s ta t i on s over

a 24 hour peri od Un i ts a re mmho scm

2 6 Tem p e ratu re

C3- Surface

B C 5 -Bottom

-- UC3-Surlace

25 UC3- Bottom

2 4

w-------- 23

2 2

2 1

20+-----------------------------------------------

1 2 5 4 5 6

Rou n d F i gure 4 9 F i e l d demonstra t i o n sampl i ng Tempe ra tu re a t ha rves ted ( C ) a nd unha rvested ( UC) s t a t i o n s

over a 24 hou r per i od Uni t s a re degrees C

O R P 350 bull C2-Surfoce

D C2- BoUom

bullbull bull UC2-Surfo ce

bull U C2 - BoUom

300 -

250

2 00

1 50+-------T------------------------------------- 1 2 3 4 5 6

R o u n d F i g u re 4 1 0 F i e l d demo n s t ra t i on samp l i ng Oxi da t i o n re duc ti o n potenti a l a t ha rve s t ed ( C ) a n d u n h a rve s ted ( UC )

sta t i o ns over a 24 hou r peri o d Uni ts a re mv

pH 9----------------------------------------------------------

8 5

e

7 5 -

7

6 5 -

------II------bull -

-----

6-------------------------------------------------- 1 2 3 4 5 6

R o u n d

bull C 2 - Su rioce

D C 2 Bottom

- U C 2 - S u rfa ce

UC2- Bottom

Fi gure 4 1 1 F i e l d demo ns t ra t i on samp l i ng pH a t harves ted ( C ) a nd unha rve s ted ( UC ) sta t i o n s over a 24 hou r per i o d Un i ts are s ta nda rd u n i t s

A

8

x c cu

cu

E tU shy

tU a

x c cu

cu

E tU shy

tU a

- 9 5 96 e J

- 95 96 CJ

bull Unharvested (control) station

x Harvested (experimenta I) station

bull Control station adjacent to harvested station

F i g u re 4 12 Hyp o t he t i ca l da ta i l l u s tra t t ng s od i um dependence of pa rameter X a n d p o s s i b l e e r ro r s i f u s i ng mea n s tes ti ng a l one fo r i mp a c t

d e termi na t i o n

F i g u re 4 1 3 D i s t r i bu ti on o f s od i um concen tra ti o n s Ja n 1 3 1988 Un i t s a re mg l

40

20

2 5

Fi gure 4 1 4 Sum of sodi um and chl ori de co ncentrati ons Sep 30 198 7 Un i ts are mi l l i shyequi va l ents l i ter

40

F i gu re 4 1 5 Di s tri bu t i on of sod i um c h l or i d e ra t i o s Sep t 30 1987

095

095

3

bull 1 2

0 x 9 x 8 IC) E 2 -J laquoI bull I I Z

x 7 bull 1 0

2 Experimental Control

F i g u re 4 1 6 Sta t i on mea ns of middot so d i um c o ncentra t i o n s for e x pe r i me n t a l ( ha rv e s ted ) a nd control ( u n ha rve sted) s ta t i o n s J a nuary 1 3 1988

Q en E

024

020

0 1 6

J a O 1 2 I

o a

008

004

000

bull control I harvested

bull bull

bull bull

------------------r---------------1 5 25 3 5 4 5 5 5 6 5 75

Na (mg()

F i g u re 4 1 1 Regre s s i on of sod i um vs o rthophospha te for con t ro l stati ons September 3 0 1 987

o 0) E

02 4

020

0 1 6

a 0 1 2 I v

o a

008

004

bull control l( harvested

ooo------------------------------------ 1 5 25 3 5 45 5 5 65 75

Na (mg l)

Figure 4 1 8 Reg res s i on of sod i um vs o rthophosphate for contro l s ta t i ons Janua ry 1 3 1988

Q -

0)

E

024

020

0 f 6

-

CL 0 1 2 I q

o a

008

004

bull control )I harvested

bull

bull bull

bull bull

000+---------1r------1 5 25 35 4 5 5 5 6 5 75

Na (mgI)

F i gure 4 1 9 Re gre s s i o n o f sodi um v s ort hophospha te for control s tati o ns with ha rvested s ta t i on data supe r i mpo sed Septembe r 30 1 987

V PHYTOPLANKTON I PRIMARY PRODUCTIV ITY STUDIES

V A INTRODUCTION

The experimenta l des i g n of th i s port i on of the i nvesti gati ons u t i l i zes

three pa i rs of stati ons to compare popu l at i ons and product i v i ty i n the

heavy vegetated versus harvesteq areas Thi s des i gn was sel ected to

i denti fy both the di fferences between harvested and vegetated areas as

we l l as responses to grad i ents ( rel ati ng to vegetati on andor water

qual i ty ) that may ex i s t a l ong the approx i mate two mi l e path of the

transect Under und i sturbed cond i ti ons d i sti nct d i fference between

heav i ly vegetated areas and open water mi ght be expected wi th regards to

both pri mary producti on and spec i es compos i ti on Such patterns cou l d be

expected to resu l t from the combi ned i nfl uences of reducted 1 i g h t a nd

i ncreased habi tat for peri phyton i n areas heav i ly vegetated by emergent and

submergent vegetati on

The sel ected sampl i ng strategy for assess i ng

phytopl ankton communi ti es empl oys a two-fol d approach

i nfl uences on

Three sets of

i ni ti a l sampl i ngs were made a t approxi mately one wee k i nterva l s i n

September 1987 ( the 17th 22nd a nd 30th ) i mmedi ately fo l l owi ng harves t i ng

of the transect to assess s hort-term affects These are to be fo l l owed and

compl emented by three seasona l l y based sampl i ng peri ods The seasonal

sampl i ng t imes were se l ected to correl ate wi th the peri ods of l ow

temperatu re and l i ght (January - 13th ) the nonna l Spri ng phytopl ankton

i ncrease (Apri l ) and h i gh l i ght a nd temperature (June ) These three

sampl i ng t imes wi l l prov i de the seasona l ly i mportant po i nts i n the a nnua l

cycl e of producti v i ty

5 - 1

The fol l owi ng observed qual i tat ive di fferences i n vegetati on patterns

between s tati ons and sampl i ng dates shou l d be noted when eva l uati ng

measured quant i tati ve d i fferences

1 ) l arge amounts of part i c u l ate matter ( probab ly resu l ti ng from the harvesti ng wh i ch was occurri ng in immedi ately adj acent areas ) was present i n the water col umn on September 17th and 22nd and to a somewhat l es ser degree on September 30th

2 ) regrowth of the harvested transect was a l ready apparent by September 30th Thi s comb i ned wi th the the norma l w i nter d ie-bac k of vegetati on i n the untreated control area s resu l ted i n l i ttl e apparent d i fference i n aquatic weeds between harves ted and non-harvested areas by January 13th

3 ) when station 7 was acc i dently harvested a second t ime s tat i on 7 5 was added i n a comparabl e l ocati on a l ong the treatment transect wh i ch had only been harvested once

Analysi s of popu l at i on s tructure based on i dent i fi cati on to the genus

( or l ower) l eve l are bei ng conducted i n conjuct i on wi th primary

producti v i ty measurements Di fferences i n phytop l ankton communi t i es

between vegetated and harvested areas were expected due to d i ffering

hab i tat Major changes were a l so ant i c i pated between the seasona l sampl i ng

peri ods as changi ng l i ght temperature and nutrient l evel s mi ght be

expected to affect both the structural re l at i ons h i ps ( d i atomgreenbl ue

green ) as wel l as the producti v i ty of the phytopl ankton popu l at i ons

I n order to quan t i fy t he wi th i n stati on vari abi l i ty of water qual i ty

chem i stry sampl es were col l ected i n tri pl i cate a t each samp l e s i te

V B METHOOS

B 1 Si tu Profi l es of Phys ical Parameters

Depth temperatu re d i s sol ved oxygen conduct i v i ty a nd pH were

measured i n s i tu wi th a Hydro l abtrade

Model 8000 sys tem or Surveyor Model

I I system Profi l es were made from the surface to the bottom i n O Sm

5 - 2

i ncrements at each sampl i ng s tati on l ocat ion Depth measurements were

determi ned on the bas i s of pre-measured marks on the u n i t s cabl e

Pre-sampl i ng i nstrument cal i brati ons were conducted wi th i n 24

hours pri or to use Temperature was measured wi th a l i near res i stance

thermi s tor factory ca l i brated and accurate to wi th i n plusmn0 2degC

Di s sol ved oxygen ( D O ) was measured wi th a temperature-compensated

pas s i ve pol arogra ph i c cel l whi ch meas ures the parti a l pressure of

oxygen as parts per m i l l i on ( ppm or mg l ) of oxygen plusmn0 2 ppm The

probe were cal i brated u s i ng the oxygen ten s i on of water-saturated a i r

( temperature corrected ) a s a standard

The conduct i v i ty probes are s i x e l ectrode cel l s and were

cal i brated aga i nst a KC l sol ut ion of known conducti v i ty Probe

response i s then tested w i th a sol ut ion of known l ow conducti v i ty to

ensure that the read i ng i s plusmn1 0 of the range sel ected The probes

are automati ca l ly temperature compensated to prov i de conducti v i ty at

25 degC

The Hydrol abtrade

pH probes a re g l as s KCl fi l l ed wi th s i l ver s i l ver

chl ori de reference e l ectrodes and refi l l abl e juncti ons They are

automati cal ly temperature compensated Two buffer cal i brat i on

procedures elllp l oyed s tandard commerc i al buffer sol ut i ons of 7 0 and

10 0 pH un i ts to wi thi n plusmn 0 1 the cal i l brati on accuracy of the probe

Ox i dati on-reducti on potenti al (ORP ) was measured u s i ng a

pl ati num-ti pped g l ass ORP probe and standard pHORP s i l ver s i l ver

chl ori de reference probe Convers i on of these ORP val ues to those of

a standard hydrogen el ectrode can be approx i mated by add i ng 200 mV to

the resu l ts from the s i l ve r s i l ver chl ori de e l ectrode

5 -3

B 2 Light Profi l es

L i ght i ntens i ty profi l es were conducted at each s tati on u s i ng a

LI -COR ( Model L I - 185B ) quantumrad i ometer photometer equ i pped wi th a n

underwater L I - 1925B quantum sensor to measure photosynthet ica l l y

act i ve rad i at ion L i ght i ntens i ti es (m icroei nstei nsm2

sec ) were

measured i n the a i r j u s t above the water surface aga i n just bel ow the

surface and at s i x sel ected depths ( 20 40 50 60 80 and 100 cm )

B 3 Primary Producti v i ty Incubati ons

F ive subsurface water samp l es were col l ected i n the area of each

stat i on l ocat i on These were randomly col l ected to account for

phytopl ankton patc h i ness The subsurface sampl es were pl aced i n f ive

repl i cate l i ght ll and two ( bl ac k pl ast i c d i pped ) II darkll ac i d-ri nsed

450 ml g l ass i ncuba t i on bottl es Each bott l e was then i nnocu l ated

wi th 10 mi crocuri es of trace meta l -free 14C ( to obta i n counts of

approx i matel y ten thousand counts per mi nute or CPM depend i ng on

phytop l an kton l evel s ) and then qu i ck ly repl aced to be i ncuba ted i n

s i tu at a depth of 0 2 meters for two hours ( see Fi gure 5 1 ) Al l

i ncuba t i on s were conducted wi th i n two hou rs of apparent noon to

standard i ze for known patterns of d i urnal peri odi c i ty i n phytopl ankton

product ion Cumu l at i ve l i ght l evel s duri ng the i ncuba t i on peri ods

were recorded us i ng a LI -COR i ntegrati ng quantum photometer After

i ncubati on al l s ampl es were pl aced i n the dark i n cool i ce ches ts and

qu i c k ly returned to a n on-s i te l aboratory fac i l i ty and prepared for

sci nt i l l a ti on count i ng

5 -4

FIGURE 5 1

u

If srru IfCUBATION RACKS

8 4 Pri mary Product i v i ty - 14C uptake

The fol l owi ng procedures were underta ken to determi ne the overa l l

rates of 14C f i xa t i on as wel l as those proport i ons attri butabl e to

the pi co- ( 1 ess than 5 mi cron ) nanno- ( 1 ess than 20 mi cron ) and

net-pl ankton ( g reater than 20 mi cron ) as wel l as the rel ati ons h i ps

between 14C uptake b i omass estimates and l i ght quanta Three

separate subsampl es were taken from each of the l i ght samp l e bott l e s

and processed as fol l ows

1 ) 50 ml i s fi l tered through a 2 4 cm Whatman GFC g l ass fi ber fi l ter us i ng l ow vacuum ( l ess than 2 PSI ) The wet fi ber fi l ter i s then pl aced i n a sc i nt i l l ati on v i a l and frozen unti l ready for ana lys i s To beg i n analys i s 0 5 ml of 0 1 NHC l i s added to each v i a l and a l l owed

5 -5

to stand for 3 hours before the add i t i on of 10 0 ml of s c i nti l l at i on fl uor 2 ) A second su bsampl e i s prepared i n the same manner as the fi rs t except pri or to fi l teri ng the 50 ml subsampl e i s passed throug h a 20 mi cron N i tex screen 3 ) The th i rd subsamp l e i s prepared i n a l i kewi se manner but passed throug h a 5 m i cron N i tex screen pri or to fi l teri ng Dark bottl es are fi l tered on ly as i n the fi rst exampl e Three corres pondi ng fl l ter bl anks for each s tati on are prepared by addi ng ten mi c rocur ies to a 450 ml i ce stored water sampl e ta ken at the same stat ion and then i mmedi atel y tak i ng three 50 ml subsampl es These are fi l tered as i n ( 1 ) above 4 ) After the add i t ion of the sc i nt i l l at i on fl uor the v i al s are a l lowed to dark adapt for at l east 24 hours before bei ng counted 5 ) Pri or to runni ng each set of sampl es background and known 1 4C standards are ru n to check and val i date the performance of the l aboratory s Pac4rd l i qu i d sc i nt i l l at ion system Veri fi cati on of the acti vi ty of the C i nnocu l a t i on sol ution is a l so made 6 ) Each sampl e i s cou nted for 30 mi nutes or unti l the CPM i n spectral reg i on A have a standard dev i at i on of l ess than 0 2 Counts per m i nute are then converted to d i s i ntegrati ons per mi nute us i ng the fi l ter s tandardi zat i on channel s rat io method

8 5 Ch l orophyl l a

Chlorophy l l a measurements have been wi dely used to est imate

phytopl a nkton b iomass For the purpose of these i nvesti gati ons

chl orophyl l l evel s of the 1 ) greater than 20 micron 2 ) l ess tha n

20 mi c ron and 3 ) l ess than S micron s i ze fracti ons were determi ned

on sampl es col l ected s imu l taneou s l y wi th those for pri mary

producti v i ty i ncubat ions Th i s procedure prov i ded comparabl e

estimates of both the b i omass and producti v i ty rates of each of the

three s i ze fract i on s

8 6 Wa ter Chem i stry

Surface water sampl es were co l l ected for analys i s at each of the

phytop l ankton primary product i v i ty stati ons Water i s col l ected i n

pre-l abel ed one l i ter po lyethyl ene conta i ners Chl orophyl l samp l es

5 -6

conta i ne rs were fi rst ri nsed and then qu i ck ly resubmerged bel ow the

s urface w i th the mouth fac i ng upcurrent Bacteri a sampl es were

col l ected i n pre-autocl aved 250 ml polyethyl ene contai ne rs a s above

except that samp l e conta i ne rs were not pre-r i nsed Al l sampl es were

stored on i ce and i n the dark and returned to the l aboratory fol l ow i ng

s tandard c ha i n of custody and qual i ty assurance procedures

Chl orophyl l was determi ned both uncorrected and corrected for

pheophyt i n u s i ng a Turner fl orometer Total col i form bacteri a were

determi ned u si ng the fi l ter membrane method ( APHA 909 b c ) Resul ts

were reported as l es s than a g i ven val ue based on d i l ut i ons when

actual f i l ter counts were zero

B 7 Popu l a t i on Structure

Sampl e s for determi nat i on of phytopl ankton communi ty structure were

col l ected i n conj uncti on wi th those taken for primary producti v i ty

measurements One l i te r polyethyl ene sampl e contai ners were

i mmedi atel y fi xed w i th 4 1111 of Lugol s sol ut ion Lugol s genera l ly

be i ng prefe rabl e for the p reservati on of sampl es wh i c h may i nc l ude

fl agel l ates The sampl es were p l aced on i ce i n the dark for

transportati on back to the l aboratory where they are he l d at 4degC

unti l prepared for counti n g I n i ti al l y a thorough i nventory and

taxonomi c analys i s of pos s i b l e taxa whi ch mi ght be expected to be

present was compl eted (Append i x C ) When a thoroug h taxonom i c basi s

has been assembl ed sampl es were prepared for observati on us i ng a

Ze i ss i nverted mi c roscope and a comb i nati on of s tandard centri fugation

a nd settl i ng procedures as fol l ows

5 -7

1 Sampl es are removed from the refri gera tor and gently shaken to assure resuspens i on of a l l materi al 2 Randomly sel ected subsampl es tota l i ng 50-100 ml ( dependi ng on the concentrat ion of the materi a l i n the sampl es ) are wi thdrawn and pl aced i n a 50 ml con i ca l g l as s centri fuge tubes 3 The tubes a re spun at a pprox imatel y 50 x g for 45 mi nutes Three to four drops of i od i ne so l uti on i s added at the top of the tubes whi ch w i l l then be a l l owed to s tand for at l east 24 hrs 4 ) At the end of the fi rs t settl i ng peri od the sett l ed materi a l i n the bottom 2 5 ml and a ny cel l s adheri ng to the surface ten s i on of each centri fuge tube i s drawn off a nd p l aced i n a 10 ml Ze i ss i nverted mi croscope settl i ng chamber 5 Two drops o f i od i ne sol u t i on wi l l be added to promote settl i ng and the compos i te sampl es i s aga i n be a l l owed to stand und i s turbed for another 24 hrs 6 Taxonomi c determi nati ons to the l owest pract ica l taxonom i c l evel were conducted from random fi el ds u s i ng a Zei ss i nverted mi croscope and a mod i fi ed s tri p method to ensure that counts i ncl uded representati ve areas of the counti ng chamber To determi ne commun i ty s tructu re at l east 500 cel l s are i denti f ied primari ly u s i ng 500x and 1000x objecti ves a nd 16x wi de fi el d ocul ars 7 After hav i ng recorded the taxonomi c determi nati ons of 500 cel l s add i t i ona l notes on each sampl e are comp i l ed us i ng a combi nati on of l ow and h i gh power objecti ves 8 Determi nati on of the number of cel l s per un i t vol ume wa s conducted for the same samp l es by enumerati ng cel l dens i t i es of randomly sel ected fiel ds aga i n u s i ng a mod i fi ed s tri p method and mak i ng appropri a te d i l uti on cal cul ati ons

v c INTERIM RESULTS

A more thorough a nd comprehens i ve summary of the resu l ts of the

phytopl an kton stud i es i nc l u d i ng seasonal and between stati on compari sons

of carbon uptake rates wi l l be i nc l uded i n the fi nal report Such a fi nal

surnna ry ana lys i s wi l l a l s o i nc l ude a detenlli nati on of the i nteract i ons

between phys i cal factors ( such as l i ght temperature ) a nd ambient nutri ent

concentrati ons on observed seasonal l eve l s primary producti on and commun i ty

s tructure The fol l owi ng s ummari zes the resu l ts to date

C 1 Phys i cal Parameters - The resu l ts of the i n s i tu Hydrol ab and l i gh t

5 -8

cast profi l es by date and stat i on are conta i ned i n Append i x A The

reported resu l ts for the l i ght profi l e analyses i nc l ude

1 ) regress i on of the l og of observed l i ght l evel s vs depth a l ong wi th the resu l tant coeff i c i ents for the l i ne and R squared val ues

2 ) based on the ca lcu l ated regress i on l i ne expected vs observed va l ues are pl otted (The i nfl uences of aqua t i c weeds i n reduc i ng l i ght l evel s can c l early be seen by compari ng such p lots for control a nd havested s tati ons )

3 ) an ext i nct ion coeffi c i ent based on the regress i on l i ne i s cal cul ated a s i s a pred i cted one percent l i ght depth ( m)

4 ) pred i cted l i ght and percent of surface i rrad i at i on l evel s as se l ected representati ve depths are determi ned

An effect i ve method of eva l uati ng the l i ght penetrati on

characteri st i cs i s to compare the computed depth where only 1 of

surface l i ght rema i ns ( th i s va l ue i s often assumed to be the

approx i mate compensati on depth where phytopl a nkton photosynthes i s =

phytopl ankton respi rat i on )

One Percent L ight Depth (m)

Stati on Sept 17 Sept 22 Sept 30 Ja n 13

7 1 84 1 2 1 1 23 1 57

8 2 33 2 36 1 90 1 37

9 2 65 2 6 1 2 09 1 46

10 0 42 0 42 0 76 1 70

11 0 36 0 39 0 36 1 6 1

12 0 44 0 36 0 57 1 67

7 5 1 59

These resu l ts c l early show that duri ng each of the three sampl i ng

dates i n September water c l ari ty a l ong the ha rvested transect

5 -9

i ncreased waterward from s tati on 7 to 9 At the same time l i ght

l evel s of the profi l es taken at the weed covered control s tati ons

( 10 1 1 12 ) decl i ned rap i d ly Tabl e 5 1 s tati s ti ca l ly compares the one

percent l i ght depth between the harvested ( E ) for experimental and

the control ( C ) stati ons grouped by date On each of the three

September dates the mean depth of the one percent l i ght l evel was

s i gn i fi cantly g reater for the harvested transect I n January 1988

weed cover a t a l l stations was apprOX i mately the same and nei ther of

the two above patterns were observed wi th the depth of the one

percent l i ght l evel bei ng s l i ghtly but stat i sti ca l ly l ess a l ong the

harvested transec t

The fol l owi ng tab l e s umma ri zes observed top and bottom d i s sol ved

oxygen l evel s by sta t i on and date Du ri ng each of the September

sampl i ngs bottom d i s sol ved oxygen l evel s at the control stations were

much l ower than a l ong the harvested transect Top and bottom

d i ssol ved oxygen l evel s i n January show the i nfl uences of cool er water

temperatures and emphas i z e the even d i s tri but ion of aquat ic weeds over

the study area

5 - 1 0

Di ssol ved Oxygen Level s ppm ( topbottom)

Stati on Sept 1 7 Sept 22 Sept 30 Jan 1 3

7 8 0 6 7 5 2 9 1 3 9 4 2 2 7 7 2

8 6 4 5 5 5 6 9 8 3 9 4 8 5 5 7 3

9 7 6 6 4 5 5 9 5 6 4 6 0 5 4 7 8

10 8 1 6 5 6 0 8 8 0 2 1 9 0 1 7 4

1 1 1 1 0 4 9 9 0 8 8 1 6 2 0 5 3 7 4

12 6 9 6 2 7 9 8 6 1 7 2 5 2 2 8 5

7 5 9 2 6 9

These resul ts are stat i st i ca l l y summari zed i n Tabl e 5 2 Aga i n E middotI

val ues represent means for the harvested stati ons and C a re for the

correspond i ng control s

C 2 B i omass - Chl orophyl l resul ts of the 1 ) whol e sampl e ( A ) 2 ) l ess

than 20 mi crons i n s i ze ( B ) and 3 ) l ess than 5 mi crons ( C ) for the

tri pl i cate sampl es taken on each date at each stat i on are presented i n

Append i x B Val ues are reported both as uncorrected and corrected for

phaeophyti n However i t shou l d be noted that correcti ng for

phaeophyti n may be i naccurated us i ng the fl uorometri c method when

s i 9n1 fi cant numbers of green a l gae are present due to 1 nterference

wi th chl orophyl l pound Mean val ues for the whol e s i ze fra c t i ons

( uncorrected ) are s ummari zed in the fol l owi ng tab l e

5 -1 1

Chl orophyl l a (mgm3 )

Stat ion S ept 1 7 Sept 22 S ept 30 Jan 13

7 5 5 22 4 29 90 9 73

8 46 5 34 0 34 95 10 98

9 66 7 45 7 53 45 10 36

10 1 2 8 107 6 65 25 8 63

1 1 68 0 128 4 64 09 4 48

12 17 8 1 1 1 2 98 76 5 14

7 5 9 82

The o n l y defi n i ti ve pattern appears to be seasonal Stati sti ca l

compari sons between the experimental ( harves ted ) and control s tati ons

by date are presented i n Tabl e 5 3

C 3 Taxonomi c Ident i fi cati on - The work i ng l i s t wh i ch formed the bas i s

o f the taxonomi c determi nati ons i s presented i n Tabl e 5 4 The

resu l ts of the taxonomi c determi nati ons of phytopl ankton conmnun i ty

structure are conta ined i n Appendi x C The number o f cel l s i dent if i ed

are l i s ted by taxonomi c groups Co l on i al forms were counted as fi ve

or ten i nd i v i dua l s depend i ng on the s i ze of the col ony The rel at i ve

d i stri but i ons of the four major taxonomi c groups ( Green Al gae

Di atoms D i nofl agel l ates and Bl ue-Greens ) by date and sta t i on are

summari zed i n F i gure 5 2 The patterns are c l earl y evi dent

1 ) Bl ue-Green a l gae were domi nant at a l l stati ons duri ng each o f the three sampl i ng dates i n September

2 ) Th i s domi nance o f Bl ue-Green a l gae over the other major taxonomi c

5 - 1 2

groups showed a ma rked dec l i ne duri ng the January samp l i ng peri od 3 ) Wi th in samp l i ng dates there were no apparent systemat ic

d i fferences between the harvested and control stat i ons when they were summari zed on the bas i s of the compos i t i on of thei r major taxonomi c c l as s i fi cat i ons

C 4 Analys i s o f Communi ty Structure - Di vers i ty and s im i l ari ty

i nd i ces ( see Tab l e 5 5 for equa ti ons ) have been wi del y ut i l i zed i n

ana lyz i ng communi t i es structure Such i nd ices a l l ow l a rge amounts of

informati on rel evant to the ri chness and equ i tabi l i ty of s pecies

wi th i n a communi ty to be organi zed and reduced i nto a s i ng l e

quanti tat i ve expres s i o n Two properties s hou l d cha racteri z e a

d i vers i ty i nd i ce i n order to accompl i s h thi s accuratel y 1 ) the i ndex

shou l d atta i n i ts max imum val ue when al l s pec i es are equal l y

d i stri buted and 2 ) i f al l spec i es wi th i n two samp l es are equa l ly

di stri buted the va l ue of the i ndex shou l d be greater for the

popul ation wi th the l arger number of s pec i es A second va l ue termed

lIevennes s can be ca l cu l ated for a number of the most commonl y

app l i ed d i vers i ty i ndi ces Evenness i s the- rat i o of observed

di vers i ty to the max i mum di vers i ty for a sampl e of a gi ven s i ze and

number of taxa and as such i s often useful i n determi ni ng the

re l ati ve deg ree of domi nance between a group of samp l es The

Shannon-Wi ener i ndex ( P i el ou base e ) was proposed as a method of

determi ni ng the rel ati ve amou nt of i nformati on wi th i n a popul ati on as

an express i on of the uncerta i nty of pred i ct ing the i dent i ty of any

gi ven i nd i v i dua l sel ected at random On a theoret i ca l l evel th i s may

be v i ewed as oppos i te from the bas i s of the S i mpson i ndex wh ich can

be vi ewed as the probab i l i ty that any two i nd i v i dual s sel ected at

random from wi th i n a samp l e bel ong to the same taxon When compa red

5 - 1 3

to the Shannon i ndex S impson tends to accentuate the presence of

common taxa over rare and thus i s often usefu l as a rel at i ve measure

of domi nance w i th i n a cOlTlfluni ty The Mc I ntosh i nd i ces ut i l i ze a

un iquely d i fferent means of measuri ng d i vers i ty and evenness by

eva l uati ng commun i ty s tructure by coord i nate d i sta nces Conceptua l l y

they measure u n i formi ty wi th i n an S -d i me ns i onal hyperspace

Unfortunatel y no s i ng l e or even group of i nd i ces have atta i ned any

degree of un i versa l acceptance Therefore i t i s often d i fficul t or

impos s i bl e to correl ate d i rect ly stud ies of s im i l ar communi t ies

because of re l i a nce u pon d i fferent i nd i ces The i nd i ces reported here

were chosen both because of the varyi ng degree of emphas i s each pl aces

upon d i fferent a s pects of communi ty structu re and because of the i r

rel at i ve l y frequent usage

The b i o l og i ca l va l i d i ty

cri ti c i zed if a ttempts

of d i vers i ty

are made to

i nd i ces

extend

can readi ly be

the mathemat ica l

characteri st i c s a nd l aws of i nformati on theory conta i ned wi th i n such

i nd i ces to commu n i ty s tructure However if these mathematical

express i ons are v i ewed mere ly as conven i ent methods for condens i ng

compl ex data i nto s i mp l e descri ptive stati sti cs we i g ht i ng both the

number and d i s tri but i on of i nd i vi dua l s among taxa then the i r

appl i cat ion becomes i mportant

Append i x 0 conta i ns the resu l ts of the mathemat i ca l reduction of each

stati on by sampl i ng date The fol l owi ng summari zes the d i versi ty

( P iel ou base e ) and the numbser of observed taxa by date and stati on

5 -14

Sampl e Di vers i tyNumber of Taxa

Stati on Sept 17 Sept 22 Sept 30 Jan 13

7 2 46 2 88 2 45 2 98 33 36 32 42

8 2 52 2 84 2 28 3 38 37 38 30 48

9 2 39 2 05 2 33 2 08 32 24 29 30

10 2 42 2 44 2 75 3 22 36 26 35 44

1 1 2 48 2 38 2 39 2 93 32 27 28 38

12 2 44 2 69 2 22 2 60 34 33 25 34

7 5 2 88 4 1

Both the d i vers i ty and number of taxa at stati ons 7 8 10 and 1 1

i ncreased i n January rhe l ack of a s i mi l ar re sponse at stati ons 9

and 12 i n Janua ry may have been cau sed by the heavi er aquati c

vegetati on whi ch was present A stati stical compari son of the

di vers i ty of taxa be tween harves ted and url harves ted areas by date i s

presented i n Tabl e 5 6 The resul ts i ndi cated no si gnifi cant

d i fferences

C 4 Communi ty Simi l a ri ty - Fi gu re 5 7 contai ns for each sampl i ng date

an ordered matr i x of the s imi l ari ty i nd i ce C l ambda lh i s i ndex

a l so know as the Mori s i ta-Ono i ndex i s w i de ly used as a measurement

of s imi l ari ty wei ghti ng both the presence of spec i es and the rel ati ve

5 -1 5

abundance d i stri but i on of each spec i es between sampl es Th i s

s imi l ari ty i ndex i s conceptua l l y unamb i guous i n that anal ogous to a

probab i l i ty or corre l at i on coeffi c i ent i ts va l ues vary from 0 0 to

1 0 Zero representi ng tota l d i ss i mi l ari ty a nd one perfect i denti ty

Val ues from 0 0 to 0 4 are general l y ta ken to denote sampl es from

hi gh ly d i fferent commun i t i es wh i l e val ues from 0 4 to 0 6 resu l t from

compari ng the d i s tri buti on s of taxa from col l ecti ons of i ntennedi ate

l i kenes s and val u es of 0 6 to 1 0 characteri ze samp l es taken from

i ncreas i ng ly s i mi l ar or i dent i ca l communi ti es Unordered matri ces of

such a s i mi l ari ty measurement though useful may often be confus i ng

I n devel opi ng these tabl es the unordered matri ces were rearranged by

the fol l owi ng cri teri a The s i te wi th the l owes t affi n i ty ( val ues ) to

a l l the other s i tes was p l aced at the top of the Y ax i s Bel ow th i s

was pos i ti oned the s i te wi th the h i ghest affi n i ty to the fi rs t s i te

Ranked i n the th i rd pos i ti on was the s i te wi th the greatest s imi l ari ty

to the second s i te not a l ready l i sted Th i s procedure was fol l owed

unti l al l s i tes had been l i s ted i n a comparati ve ord i nat i on a l ong the

Y ax i s Each matri x was then compl eted by reversi ng the ranked order

of the s i tes a l ong the X axi s By th i s method each tabl e was

constructed i n such a ma nner that the affi ni ty val ues genera l l y

i ncrease both from top to bottom and from l eft t o ri ght Thi s resu l ts

i n the c l usteri ng of areas of h i g h s i mi l ari ty separated by areas of

l ow affi n i ty a l ong the d i agona l marg i n

rh i s ana l ys i s of p hytop l a nkton communi ty s tructure shows no c l ear

d i sti ncti ons between harves ted and unharvested stati ons I n genera l

the s i mi l ari ty among stati ons was hi gh on the September 30th samp l i ng

5 -16

date and much l ower on January 13th The other two sampl i ng dates

show i ntermedi ate l eve l s of affi n i ty between stati ons

C s Summary of Stati sti cal Analys i s - The fol l owi ng summari zes the

resu l ts of the procedi ng stati st i ca l analys i s for vari ous physi cal and

b i ol og i ca l parameters

DO Top Bot

1 Depth

Chl a

Di v

I

Stati sti ca l Compari son of Means for Control vs Harvested Transects

Sept 17 Sept 22 Sept 30 Jan 13

T -test Wi l coxon T -tes t Wi l coxon T-test Wi l coxon T- tes t Wi l coxon

NS NS NS NS 067 05 02 046 02 04 0 1 05 NS NS NS NS

001 049 01B 05 014 05 03B 0 5

N S N S 0007 05 0 5 05 033 05

NS NS NS NS NS NS NS NS

Di ssol ved oxygen l evel s were s i gn i fi cantly h i g her on the bottom

a l ong the harvested transect on the 17th and 22nd of September

Th i s was a s hort term effect cau sed by the harvest i ng of aquati c

vegetation a l ong the transect

2 Su rface di ssol ved oxygen was l ower a l ong the experimenta l transect

on September 30th ( due to product ion by the vegetat i on al ong the

control ) and hi gher i n January

3 ) The one percent l i ght depth was greater a l ong the harvested

transect except i n January Th i s ta ken wi th the January pattern

5 -17

i n d i sso l ved oxygen g i ve s some i nd i cati on that i n January there

was more aquat i c vegetat i on a l ong the harvested than the contro l

4 ) Chl orophyl l a was probably heav i ly i nfl uenced by smal l part i cu l ate

mater ia l i n the water caused by harvest i ng and peri phyton on

submerged vegetat i on Wi th i n s i te variabi l i ty was sma l l when

compared wi th the vari ati ons between s tati ons

V D FINAL REPORT-ANALYSES

The f i na l report wi l l i ncorporate the fi na l two sampl i ng dates i nto

the above vari ous types of ana l ys i s I n add i t i on

1 ) Rates o f pr imary production for a l l s ampl i ng dates wi l l be reported and compared

2 ) Rates of primary product i on wi l l be ana lyzed to determi ne the rel at ive i nfl uences of water qual i ty and physi cal parameters

3 ) Cl uster anal ys i s w i l l be ut i l i zed to further i nvest i gate patterns of taxonomi c assoc i at i ons

I t shou l d be noted however that g i ven the patterns of the f i rs t four

sampl i ng dates and the apparent regrowth of aquat ic vegetati on al ong the

harvested transect the on l y further d i fferences i n the phytopl an kton

port i on of the study s hou l d be s easonal No add i ti onal d i fferences between

the harvested and unharvested transects are expected

5 - 18

FIGURE 5 1

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 5 22666667 0 084083333

E C

3 2 2 7333333 3 0 40666667 F Value

62 16 1 Prob gt F

0 0014

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Con t i nui ty Correction of 5 )

S- 15 0000 z- 1 74574

T-Test approx Signi ficance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vall i s Tes t (Chi -Square Approximation) CBISO- 3 8571 DF- 1 Prob gt CBISOa 0 0495

Mean Score

5 0 2 0

rIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BENEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

N Mean Among MS Vi thin MS 4 18335000 0 279200000

E C

3 2 06000000 3 0 39000000 F Value

14 983 Prob gt F

0 0 180

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Test (Normal Approximation) (wi th Continui ty Correct ion of 5 )

S- 15 0000 z- 1 74574

T-Tes t approx Signi ficance -

Prob ) I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Ch i - Square Approximat ion ) CBISQ 3 857 1 DF- 1 Prob gt CBISQ= 0 0495

Hean Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analys is of Variance

N Hean Among HS Vi thin HS 2 0768 1667 0 1 22066667

E C

3 1 bull 74000000 3 0 56333333 F Value

1 7 014 Prob gt F

0 0 146

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Expected Under HO

Std Dev Under HO

15 0 10 5000000 2 29 128785 6 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continui ty Correction of 5 )

S - 1 5 0000 z- 1 74574

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t (Chi - Square Approximat ion) CHISOz 3 857 1 OF- 1 Prob gt CHI SO- 0 0495

He an Score

5 0 2 0

FIGURE 5 1 ( cont )

ANALYSIS OF THE ONE PERCENT LIGHT DEPTH BEMEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

N Mean Among HS Vi thin HS

E C

0 056066667 0 006066667 3 1 46666667 3 1 bull 66000000 F Value

9 242

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Expected Std Dev Scores Under HO Under HO

6 0 10 5000000 2 29128785 15 0 10 5000000 2 29 128785

Vilcoxon 2-Sample Test (Normal Approximat ion ) ( wi th Continui ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

Prob gt F 0 0384

Hean Score

2 0 5 0

T-Test approx Signi ficance bull

Prob gt I z l middot 0 0809

0 1413

Kruskal-Vallis Test (Chi -Square Approximat ion ) CHISO 3 857 1 DF 1 Prob gt CBISO- 0 0495

FIGURE 5 2

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SBPTBKBBR 1987

Analysi s of Variance

SURFACE

N Mean Among HS Vi thin HS 2 66666667 2 56833333

E 3 7 33333333 C 3 8 66666667 F Value Prob gt F

1 038 0 3658

BOTTOH

N Mean Among HS Vi thin HS 1 9 08 16667 1 39333333

B 3 4 73333333 C 3 1 16666667 P Value Prob gt P

1 3 695 0 0208 Average Scores were used for Ties

FIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Vilcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

Hean Score

E 3 8 0 1 0 5000000 2 29128785 2 66666667 C 3 1 3 0 1 0 5000000 2 29128785 4 33333333

E C

Vilcoxon 2 -Sample Tes t (Normal Approximat ion ) (wi th Con t inu i ty Correct ion o f 5 )

S- 8 00000 z- - 872872

T-Tes t approx S igni ficance -

Prob ) I Z I - 0 3827

0 4227

Rruskal-Vallis Tes t (Chi-Square Approxima tion ) CBISO- 1 1 905 DF- 1 Prob ) CBISOz 0 2752

BonOH

SUII of Expected Std Dev N Scores Under BO Under BO

3 15 0 10 5000000 2 2583 1 796 3 6 0 10 5000000 2 2583 1 796

Average Scores were used for Ties

Vi lcoxon 2 - Sample Tes t (Normal Approximation ) (wi th Con t inui ty Correct ion o f 5 )

So 15 0000 Z- 1 77123

T-Tes t approx Signifi cance -

Prob ) I Z I - 0 0765

0 1 367

Kruskal-Vallis Tes t (Chi - Square Approximation) CBISO= 3 9706 DP- 1 Prob ) CBISO= 0 0463

He an Score

5 0 2 0

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVBEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Mean Among KS Vl tbln KS 0 1 66666667 0 556666667

E 3 6 20000000 C 3 5 86666667 F Value Prob gt F

0 299 0 6 1 34

BOTTOK

N Kean Among KS Vl tbln KS 1 5 3600000 0 755000000

E 3 5 00000000 C 3 1 80000000 F Value Prob gt F

20 344 0 0107

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Expected Std Dev N Scores Under BO Under BO

E 3 1 2 0 1 0 5000000 2 2 9 1 28785 C 3 9 0 10 5000000 2 29 1 28785

Vi lcoxon 2- Sample Tes t (Normal Approximation ) (vi th Continui ty Correction o f 5)

S- 1 2 0000 z- 0 436436

T-Tes t approx Signi fi cance -

Prob gt I Z I - 0 6625

0 6807

Kruskal -Vallis Tes t (Chi -Square Approximation) CHISO- 0 42857 OF- 1 Prob gt CBISa- 0 5 127

E C

N

3 3

Sum of Scores

BOTTOH

Expec ted Under BO

S td Dev Under BO

15 0 10 5000000 2 29128785 6 0 10 5000000 2 29 1 28785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (vi th Cont inui ty Correc t ion of 5 )

S- 1 5 0000 Z- 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1 4 1 3

Kruskal-Vallis Tes t ( Chi-Square Approxima tion ) CHI SO- 3 857 1 OF- 1 Prob gt CBISO= 0 0495

Mean Score

4 0 3 0

Hean Score

5 0 2 0

PIGURE 5 2 (cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP ) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1987

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 7 26000000 1 17333333

E 3 5 43333333 C 3 7 63333333 F Value Prob gt F

6 187 0 0677

BOTTOM

N Mean Among MS Vi thin KS 6 00000000 4 68333333

E 3 4 53333333 C 3 2 53333333 F Value Prob gt F

1 281 0 3209

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

llilcoxon Scores (Rank Sums )

SURFACE

Sum o f Bxpected Std Dev N Scores Under BO Under BO

E 3 6 0 1 0 5000000 2 29 1 28 785 C 3 1 5 0 1 0 5000000 2 29 128785

ll i lcoxon 2-Sample Tes t ( Normal Approximat ion ) (wi th Cont inuity Correct i on of 5 )

S - 6 00000 zmiddot - 1 74574

T-Test approx Significance bull

Prob gt I Z I middot 0 0809

0 14 13

Kruskal-llallis Tes t (Chi-Square Approximat ion) CBISO- 3 857 1 DF- 1 Prob gt CHISO= 0 0495

N

BOTlOM

Sum o f Expec ted Scores bull Under BO

Std Dev Under BO

Mean Score

2 0 5 0

Mean Score

B C

3 3

14 0 10 5000000 2 29128785 4 66666667 7 0 10 5000000 2 29128785 2 33333333

llilcoxon 2-Sample Tes t (Normal Approximat ion) (wi th Continuity Correct i on of 5 )

S- 1 4 0000 Zmiddot 1 3093 1

T-Tes t approx Significance bull

Prob gt I Z I - 0 1 904

0 2474

Kruskal-llallis Tes t ( Chi-Square Approximat ion) CBISO= 2 3333 DF= 1 Prob gt CHISO= 0 1 266

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

E C

E C

Analys is of Variance

SURFACE

N Hean Among HS Vi thin HS 0 806666667 0 068333333

3 9 46666667 3 8 73333333 F Value

N

3 3

1 1 805 Average Scores were used for Ties

BOTlOH

Hean Among HS 0 166666667

7 43333333 7 76666667 F Value

0 658 Average Scores were used for Ties

Prob gt F 0 0264

Vi thin HS 0 253333333

Prob gt F 0 4628

FIGURE 5 2 ( cont )

ANALYSIS OF DISSOLVED OXYGEN (TOP) BETVEEN THE CONTROL AND EXPERIHENTAL SITES ON 1 3 JANUARY 1 988

N

Vi lcoxon Scores (Rank Sums )

SURFACE

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Hean Score

E 3 15 0 10 5000000 2 258 3 1 796 5 0 2 0 C 3 6 0 10 5000000 2 258 3 1 796

E C

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approximation ) ( wi th Continui ty Correction o f 5 )

Smiddot 1 5 0000 zmiddot 1 77 1 23

T-Tes t approx Signi fi cance -

Prob gt I Z I middot 0 0765

0 1367

Kruskal -Vallis Tes t (Chi -Square Approximation) CBISO- 3 9706 DF- 1 Prob gt CBISO= 0 0463

N

BOTrOH

Sum of Scores

Expected Under BO

Std Dev Under BO

Hean Score

3 3

8 0 10 5000000 2 2583 1 796 2 66666667 1 3 0 10 5000000 2 2583 1 796 4 33333333

Average Scores were used for Ties Vi lcoxon 2 - Sample Tes t (Normal Approxima t ion ) ( wi th Continui ty Correct ion o f 5 )

S- 8 00000 Z- - 8856 15

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 3758

0 4 164

Kruskal -Vallis Tes t (Chi-Square Approximation ) CBISO- 1 2255 DF= 1 Prob gt CBISO= 0 2683

fiGURE 5 3

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 7 SEPTEMBER 1 987

Ii C

E C

N

3 3

N

3 3

Analysis of Variance

SURFACE

Mean Among MS 67 5808907

39 5866667 32 8744444 F Value

0 07 1

Vilcoxon Scores (Rank Sums )

Sum o f Scores

Expec ted Under BO

S td Dev Under BO

Vi thin MS 952 908207

Prob gt F 0 8032

Mean Score

1 0 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 1 0 5000000 2 29 1 28785 3 66666667

Vilcoxon 2 -Sampie Tes t (Normal Approximation ) (wi th Con tinu i ty Correc t i on o f 5 )

Smiddot 1 0 0000 zmiddot o

T-Test approx Signi f i cance bull

Prob gt I Z I middot 0 9999

0 9999

Kruskal-Vallis Tes t ( Chi-Square Approximation ) CBISO- 0 04762 DF- 1 Prob gt CBISO- 0 8273

FIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETVEBN THE CONTROL AND BXPERIMENTAL SITES ON 22 SEPTBMBER 1 987

Analysi s of Variance

SURFACE

N Mean Among MS Vi thin MS 10416 6667 1 13 777778

B C

3 33 666667 3 1 1 7 000000 F Value

9 1 553 Prob gt F

0 0007

E C

N

3 3

Vilcoxon Scores (Rank Sums)

Sum of Scores

Bxpected Under 00

Std Dev Under 00

6 0 10 5000000 2 29128785 1 5 0 10 5000000 2 29 128785

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inu i ty Correct ion of 5)

S 6 00000 zmiddot - 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I 0 0809

0 1413

Kruskal-Vallis Tes t (Chi-Square Approximat ion ) COlSQ- 3 8571 DF- 1 Prob gt CHlSQ= 0 0495

Mean Score

2 0 5 0

FIGURE 5 3 ( cont )

ANALYSIS OF CHLOROPHYLL A LEVELS BETllEEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SEPTEMBER 1 987

Analysis of Variance

SURFACE

N Hean Among HS Vi thin HS 2009 2 1 800 270 667459

E 3 39 4322222 C 3 76 03 1 1 1 1 1 F Value Prob gt F

E C

N

3 3

7 423

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

6 0 10 5000000 2 29 1 28785 15 0 10 5000000 2 29 1 28785

Vilcoxon 2 -Sample Test (Normal Approximat ion) (wi th Con t inui ty Correc tion of 5 )

S- 6 00000 z- - 1 74574

T-Tes t approx Significance -

Prob gt I Z I - 0 0809

0 1413

Kruskal-Vallis Tes t (Chi -Square Approxima t ion)

0 0527

Mean Score

2 0 5 0

CBISO- 3 857 1 OF- 1 Prob gt COISO- 0 0495

PIGURE 5 3 (cont )

ANALYSIS OF CHLOROPHYLL A LBVELS BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1 988

Analysis of Variance

SURFACE

N Mean Among HS ii thin HS 27 4205630 2 68287963

E C

3 1 0 3588889 3 6 0833333 F Value

10 22 1 Prob gt F

0 0330

E C

N

3 3

ii lcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

15 0 10 5000000 2 29 1 28785 6 0 10 5000000 2 29 1 28785

ii lcoxon 2 -Sample Tes t (Normal Approximat ion) (vi th Cont i nui ty Correc tion of 5)

S- 1 5 0000 zmiddot 1 74574

T-Tes t approx Signi ficance bull

Prob gt I Z I - 0 0809

0 1413

Iruskal-iallis Tes t (Chi -Square Approximation) CBISOa 3 857 1 DFa 1 Prob gt CHrSO- 0 0495

Hean Score

5 0 2 0

TABLE 54 VORKING LIST

LAKE OKEECHOBEE PHYTOPLANKTON

Chlorophyta (Green Algae )

I II

001 0 1 001 02 002 0 1 003 0 1 003 02 004 0 1 005 0 1 005 02 006 0 1 007 0 1 008 0 1 009 0 1 0 1 0 0 1 0 1 1 0 1 0 1 2 0 1 0 1 2 02 012 03 012 04 0 1 2 05 012 06 0 1 3 0 1 0 1 3 02 014 0 1 0 1 4 02 015 0 1 0 1 5 02 016 0 1 0 1 6 02 017 0 1 0 1 8 0 1 0 1 9 0 1 020 0 1 02 1 0 1 022 0 1 023 0 1 024 0 1 024 02 024 03 025 01 025 02 026 0 1 027 0 1 028 0 1 029 0 1 030 0 1

Ankis trodesmus falcatus Ankis trodesmus spiralis Ar throdesmus sp As terococcus spinulosus As terococcus sp Carteria cordi formis Chlamydomonas polypyrenoideum Chlamydomonas sp Chlorella sp Chlorococcum s p Chlorogonium sp Chodatella (Lagerhemia) subsalsa Clos teridium lunula Clos teriopsis longissima Clos terium curvaceum Closterium graci le Clos terium kutzingi i f sigmoides Clos terium setaceum Clos terium venus Clos terium s p Coelastrum cambricum Coelastrum microporum Cosmarium circulare Cosmarium s p Crucigenia apiculata Crucigenia quadrata Dictyosphaerium ehrenbergianum Dictyosphaerium pulchellum Elakatothrix gelat inosa Euas trum s p Eudorina elegans Geminella interrupta Golenkinia radiata Gonium pectorale Beteromas t ix angulata Kirchneriella contor ta Kirchneriella obesa Kirchneriella sp bull bull Lagerhemia citri formis Lagerhemia subsalsa Lepocinclis s p Hougeot ia s p Oocystis sp Ourococcus bicaudatus Pandorina morum

031 0 1 031 02 03 1 03 03 1 04 03 1 05 03 1 06 03 1 07 032 0 1 033 0 1 034 0 1 035 0 1 036 0 1 037 0 1 038 0 1 039 0 1 039 02 039 03 039 04 039 05 039 06 039 07 039 08 040 0 1 04 1 0 1 042 0 1 042 02 042 03 042 04 043 0 1 043 02 043 03 043 04 043 05 043 06 043 07 044 0 1 045 0 1 046 0 1 047 01 048 0 1 049 0 1 050 0 1 051 0 1 052 0 1 053 0 1 054 0 1 055 0 1 056 0 1

Pedias trum biradiatum Pedias trum boryanum Pediastrum duplex v grac ilimum Pedias trum duplex v ret i culatum Pedias trum simplex Pedias trum s implex v duodenarium Pedias trum tetras Pedinomonas minor Phacotus lent icularis Platydoriana caudata Polyedriopsis spinulosa Pseudotetraedron neglec tum P teromonas aculeata Quadrigula clos teroides Scenedesmus abundans Scenedesmus acuminatus Scenedesmus arcuatus v platydisca Scenedesmus bij uga Scenedesmus denticulatus Scenedesmus d imorphus Scenedesmus opoliens is Scenedesmus quadricauda Schroderia setigera Spermatozops is exultans S taurastrum cuspidatum S taurastrum limne t icum Stauras trum s p 1 1 Stauras trum sp 12 Tetraedron cauda tum Tetraedron gracile Tetraedron limne t i cum Te traedron lobulatum Tetraedron minimum Tetraedron mut icum Tetraedron trigonum Tetras trum s taurogeniaeforme Treubaria crassispina Volvulina s tein i i Ves tella bo tryoides Unknown 1 1 (unicellular green ) Spyrogyra sp Tetmemoris sp Oedogonium s p Unknown Unknown Unknown Unknown Unknown

Chrysophyta

Class Bacillariophyceae (Diatoms)

057 0 1 057 02 058 0 1 059 0 1 060 0 1 06 1 0 1 062 0 1 062 02 062 03 063 0 1 064 0 1 064 02 064 03 064 04 065 0 1 066 0 1 067 0 1 068 0 1 069 0 1 070 0 1 070 02 070 03 070 04 070 05 070 06 070 07 070 08 07 1 0 1 0 7 2 0 1 073 0 1 074 0 1 074 02 074 03 074 04 074 05 074 06 075 0 1 075 02 075 03 075 04 075 05 075 06 075 07 076 0 1 076 02 076 03 076 04 076 05 076 06

Achnanthes exigua v heterovalve Achnanthes sp Amphora ovali s v l i byca Biddulphia laevi s Calonei s amphisbaena Campylodiscus sp Cocconeis dimi nu ta Cocconei s hus t ed t i i Cocconeis placentula Coscinodiscus rothii Cyclotella glomerata Cyclotella kutzi ngiana Cyclotella menghiniana Cyclotella s telligera Cylindrotheca s p Cymatopleura solea Cymbella ventricosa Denticula s p Diplonei s oblongella Fragilaria brevis t riata Fragilaria capucina Fragilaria cons truens Fragilaria cons truens v subsalina Fragi laria construens v ven ter Fragilaria cro tonensi s Fragilaria pinna ta Fragilaria vaucheria Frus tul1a sp Gomphonema graci le Gyrosigma nodiferum Melosira ambigua Melosi ra granulata Melosira granulata v angus tissima fo spiralis Melosi ra granulata muzzanensis Melosira i talica Melosi ra sp Navicula accomoda Navi cula cincta Navicula cryp tocephala Navicula exigua Navi cula pupula Navi cula rhynococephala v germani i Navi cula s p Ni tzschia aci cularis Ni tzschia amphi bia Ni tzschia api culata Ni tzschia augus tata Ni tzschia cons trl c ta Ni tzschia dissipa ta

076 07 076 08 076 09 076 10 076 1 1 076 1 2 076 1 3 076 1 4 076 1 5 076 1 6 076 1 7 077 0 1 078 0 1 079 01 080 01 08 1 01 082 01 083 01 083 02 084 01 085 01 085 02 086 01 087 01 088 01 089 01 090 01 09 1 01 092 01 093 0 1 094 0 1 095 0 1 096 0 1 097 01 098 01 099 01 100 01

Ni tzschia fili formis Nitzschia frus tulum Ni t zschia holos t ica Ni tzschia hungarica Ni tzschia lanceolata v minima Ni tzschia linearis Ni tzschia lorenziana Nitzschia paradoxa Nitzschia punc tuata v coarctata Nitzschia trybilionella v victoriae Ni tzschia sp Opephora mar tyi Pinnularia maior Pleurosigma salinarium v boyeri Rhopalodia gibba Skeletonema Cos tatum Stauroneis s p Stephanodiscus as trae v minutula Stephanodiscus invisi tatus Surirella robusta v splendida Synedra actinas tro ides Synedra ulna Tabellaria sp Tetracyclus lacus tris Thalassios i ra sp Buno tia 1 s p Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Other Chrysophycea

185 01 186 01

Dinobryon sp Synura s p

Cyanophyta (Blue-green Algae)

101 0 1 102 0 1 102 02 102 03 103 0 1 104 0 1 105 0 1 105 02 106 0 1 106 02 107 0 1 108 0 1 109 0 1 109 02 1 10 0 1 I I I 0 1 I I I 02 1 12 01 1 13 0 1 1 13 02 1 14 01 1 15 01 1 15 02 1 15 03 1 15 04 1 1 6 01 1 16 02 1 16 03 1 1 7 0 1 1 18 0 1 1 18 02 1 18 03 1 19 01 120 0 1 1 2 0 02 1 20 03 1 2 1 01 122 01 1 23 0 1 1 23 02 1 24 0 1 1 24 02 1 24 03 1 25 0 1 1 2 6 0 1 127 0 1 128 0 1 1 29 0 1 130 0 1 1 3 1 0 1 1 32 0 1 133 0 1

Agmenellum quadruplicatum Anabaena bornet i ana Anabaena sphaerica Anabaena spiroides Anacyst i s s p (Gloeo thece) Aphanizomenon flos -aquae Aphanocapsa delicatiss ima Aphanocapsa pulchra Aphano thece s tagnina Aphano thece pras ina Arthrospira gomontiana Aulosi ra infuxa Chroococcus planctonica Chroococcus turgidus Coccochloris s p Coelosphaerium naegelianum Coelosphaerium s p Eucapsis alpina Gomphosphaeria aponina Gamphosphaeria lacus tris Bolopedium i rregulare Lyngbya contorta Lyngbya limne t ica Lyngbya tenuis Lyngbya sp Herismopedia elegans Herismopedia glauca Herismopedia punctata H icrocoleus lyngbyaceus Hicrocys tis aeruginosa Hicrocys tis flos -aquae Hicrocys t i s incerta Nodularia spumigena Oscillatoria tenuis Oscillatoria terebriformis Osci llatoria sp Phormidium autumnale Raphidiops i s curvata Schlzo thrix calciola Schlzothrix sp Spirulina laxissima Spi rulina subsalsa Splrul1na sp Glaucocys tis sp Anabaenopsls sp Nos toc sp Unknown Unknown Unknown Unknown Unknown Unknown

1 34 0 1 1 35 01 136 0 1 1 37 01 1 38 0 1 1 39 0 1

Unknown Unknown Unknown Unknown Unknown Unknown

Buglenophy ta

140 0 1 1 4 1 0 1 141 02 141 03 141 04 141 05 141 06 141 07 141 08 141 09 141 1 0 1 4 1 1 1 141 1 2 1 4 2 0 1 142 02 143 0 1 144 0 1 144 02 144 03 144 04 1 44 05 144 06 144 07 145 01 145 02 145 03 145 04 146 0 1 1 46 02 1 46 03 148 0 1 149 01 150 0 1 1 5 1 0 1 1 52 0 1 153 01 154 0 1 155 0 1

As tasia klebesi i Euglena acus Euglena deses Euglena gracilis Euglena hematodes

-Euglena minuta Euglena oxyuris Euglena polymorpha Euglena spiroides Euglena subehrenbergi i Euglena t ripteris Euglena viridis Euglena s p Lepocinclis ovum Lepocinclis texta Petalomonas sp Phacus curvicauda Phacus longicauda Phacus pleuronectes Phacus pyrum Phacus tor ta Phacus triqueter Phacus sp St rombomonas giardiana S t rombomonas giardiana v glabra S trombomonas tambovika S trombomonas sp Trachelomonas crebea Trachelomonas cylindrica Trachelomonas volvocina Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Pyrrhophyta

Class Cryptophyceae

156 0 1 157 0 1 158 0 1 158 02 158 03 158 04 159 0 1 160 0 1 160 02 161 0 1 162 0 1 163 0 1 164 0 1 165 0 1 166 0 1 167 0 1 168 0 1 169 0 1

Chilomonas paramecium Chroomonas acuta Cryptomonas erosa Cryptomonas marssoni Cryp tomonas ovata Cryp tomonas s p Billea sp Rhodomonas lucus tris Rhodomonas sp Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown Unknown

Class Dinophyceae (dinoflagellates )

1 70 0 1 1 70 02 1 7 1 0 1 172 0 1 1 73 0 1 1 74 0 1 1 74 02 1 75 0 1 175 02 1 75 03 175 04 176 0 1 177 0 1 178 0 1 179 0 1 180 0 1 181 0 1 182 0 1 183 0 1 184 0 1

Cerat ium brachyceros Cerat ium hirundinella fa furcoides Diplopsali s lent icula + Glenodinium gymnodinium Gonyaulax sp Gymnodinium aeruginosum Gymnodinium neglectum Peridinium inconspicuum Peridinium umbonatum Peridinium viscons inense Peridinium sp Prorocentrum micans Dinoflagellate cys ts Unknown Dino 1 Unknown Dino 2 Unknown Unknown Unknown Unknown Unknown

+ may be Peridiniopsis acuta

Denotes Genus Comput er Codes Denotes Species Computer Codes

Tentat ive Iden t i f ications

TABLE 55

bull

D I V E R S IT Y

ielou lise di versi ty (H ) bull

-1 I t l oge t

ielou 81se e evenness (J I ) bull

( -1 I 1 l oge 1 ) l og 5

Margl l ev dtversi ty bull

( - 1) log bull bull

ielou Is 10 diverst bull

-1 I 1 l agl0 1

11ou lis 10 IYlnness bull

( -1 I 1 lag l0 1 ) 10110 S

2 Sipson Di vers i ty bull 1 I 1

5 ipson Evenness bull ( 1 - I t2

) ( 1 - ( 1 5raquo

5heldon Evenness bull bull H middot I 5

H middot He t p Evenness bull ( - 1 ) I (5 - 1 )

S I M I LARITY

Mountford bull Z ( 51 + 5Z - 51Z) I ( Z I 5 1 I 5Z -

laquo 51 + 5Z (51 + 5Z - 51 Zraquo

Z Cl t ffordmiddot5tephenson bull 1 - t (lt - Zt )

Mh1ttlker PS I bull 1 - (t l l t - Z1 1 I Z )

Clnberrl Metrtc bull 1 - (t ( ) ft1 t - ftz1 1 I (n11 + nZ1 I IZ )

SIMI bull [(PI I I 21 ) I ( EPIIZ I rP2tZ)

MDrl sltl bull (2Enl 1 I n21 ) I laquo ( E( nl1 I nIl bull 1 ) I ( Nl I Nl - 1) )

+ ( [21 I 21 bull 1 ) I (2 I 2 bull 1 ) ) I 1 I 2)

nIt bull number of Indlv1dulls in sample 1 of 1th tlxa

I bull totll number of Individulls in sample 1

512 bull total nunber of tlXI tn both samples 1 and 2

51 bull umber of tXI t n sample 1

Pt bull percent t th taxa represents of the totll sle (nt )

p bull geome t r i c me an

DISTRIBUTION OF MAJOR TAXONOMIC GROUPS BY DATE AND STATION

1$ $ $I GREEN AUlAE STATION

emggg DIATOMS

FIGURE 5 1

DINOFLAGELLATES __ BLUE-GREEN AL8AE

FIGURE 5 6

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVBBN THE CONTROL AND EXPERIMENTAL SITES ON 17 SEPTEMBER 1 987

E C

E C

Analysis of Variance

SURFACE

N Mean Among MS Vi thin MS 0 000 150000 0 002583333

3 2 45666667 3 2 44666667 F Value

0 058 Prob gt F

0 82 1 4

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

Std Dev Under BO

Mean Score

1 1 0 10 5000000 2 29128785 3 66666667 10 0 10 5000000 2 29 1 28785 3 33333333

Vilcoxon 2 - Sample Tes t (Normal Approximation) (wi th Cont inui ty Correction of 5 )

S- 1 1 0000 z- o

T-Tes t approx Signi f i cance -

Prob gt I Z I - 0 9999

0 9999

Kruskal-Vallis Tes t (Chi -Square Approxima tion ) CBISQ= 0 04762 DP= 1 Prob gt CBISQ= 0 8273

FIGURE 5 6 (cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 22 SEPTEMBER 1 987

Analys is of Variance

SURFACE

N Mean Among KS Vi thin KS 0 0 1 1 266667 0 1 23066667

E C

3 2 59000000 3 2 50333333 P Value

0 092 Prob gt P

0 7773

E C

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under BO

S td Dev Under BO

1 2 0 10 5000000 2 29 128785 9 0 10 5000000 2 29 1 28785

Vilcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

s- 1 2 0000 z- 0 436436

T-Tes t approx Significance -

Prob gt I Z I - 0 6625

0 6807

Rruskal-Vallis Tes t (Ch i -Square Approxima t ion) CBISO- 0 42857 DP- 1 Prob gt CBISO= 0 5 127

Hean Score

4 0 3 0

PIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BBTVIEN THE CONTROL AND EXPERIMENTAL SITES ON 30 SBPTBHBBR 1987

E C

E C

Analysis of Variance

N Hean Among HS Vi tbin HS 0 0 15000000 0 040433333

3 2 35333333 3 2 45333333 P Value

0 37 1 Prob gt F

0 5754

N

3 3

Vilcoxon Scores (Rank Sums )

Sum of Scores

Expected Under HO

Std Dev Under HO

Hean Score

10 0 1 0 5000000 2 29 1 28785 3 33333333 1 1 0 10 5000000 2 29 1 28785 3 66666667

Vilcoxon 2-Sample Tes t (Normal Approxima tion) (wi th Continui ty Correction of 5 )

S - 10 0000 z- o

T-Test approx Signif i cance -

Prob gt I Z I - 0 9999

0 9999

lruskal-Vallis Tes t (Cbi -Square Approximation ) CBISQ- 0 04762 DF- 1 Prob gt CHISQ- 0 8273

FIGURE 5 6 ( cont )

ANALYSIS OF PHYTOPLANKTON DIVERSITY BETVEEN THE CONTROL AND EXPERIMENTAL SITES ON 1 3 JANUARY 1988

Analys is of Variance

N Mean Among MS Vi thin MS 0 0160 1 6667 0 269783333

E C

3 2 8 1 333333 3 2 9 1 666667 F Value

0 059 Prob gt F

0 8 1 95

E C

N

3 3

Vi lcoxon Scores (Rank Sums)

Sum of Scores

Expec ted Under BO

Std Dev Under BO

Mean Score

1 1 0 1 0 5000000 2 29 128785 3 66666667 10 0 10 5000000 2 29128785 3 33333333

Vi lcoxon 2-Sample Tes t (Normal Approximation) (wi th Cont inui ty Correct ion of 5 )

S - 1 1 0000 z- o

T-Tes t approx Signi ficance -

Prob gt I Z I - 0 9999

0 9999

Kruskal -Vallis Tes t (Chi -Square Approximat ion) CBISa- 0 04762 DF- 1 Prob gt CBrSQ= 0 8273

FIGURE 5 7

ORDERED C LAMBDA MATRICES

8

SEPT 1 7TH

9 1 0 7 1 1

1 2 [ 0 7 1 0 61 0 35 0 54 0 87 [

1 1 [ 0 7 1 0 73 0 60 0 77 [

7 [ 0 84 0 89 0 9 1 [

10 [ 0 72 0 76 [

9 [ 0 90 [

SEPT 30TH

8 9 7 1 2 1 1

10 [ 0 58 0 60 0 69 0 64 0 73 [

1 1 [ 0 9 1 0 91 0 93 0 95 [

12 [ 0 91 0 90 0 93 [

7 [ 0 94 0 94

[ 9 [ 0 99

[

SEPT 22ND

7 8 1 2 1 1 10

9 [ 0 48 0 58 0 37 0 43 0 64 [

10 [ 0 65 0 75 0 73 0 90 [

1 1 [ 0 55 0 54 0 64 [

12 [ 0 54 0 66

[ 8 [ 0 88

[

JAN 1 3TH

8 7 9 1 2 7 5 10

1 1 [ 0 38 0 39 0 35 0 42 0 40 0 57 [

10 [ 0 74 0 57 0 34 0 61 0 74 [

7 5 [ 0 68 0 57 0 50 0 86 [

12 [ 0 58 0 63 0 80

( 9 [ 0 37 0 53

[ 7 [ 0 65

[

VI COMMUNITY METABOLISM

V I A I NTRODUCTION

Convnun i ty metabol i sm as measured by the d i el oxygen mon i tor i ng

techn i que (Odum and Hask i n 1958 Odum and Wi l son 1962 Odum 1967 ) i s

a methodol ogy used to est imate gross system product i on by cal cul ati ng the

rate of b i o l og i cal l y med i ated oxygen c hanges i n a water col umn over a 24

hour peri od Many factors contri bute to the oxygen budget of aquat i c

systems d i ffus i on from the atmosphere photosynthes i s and resp i rat i on

rates of submerged macrophytes phytopl ankton and peri phyton benth i c

oxygen demand resp i rat i on of ani mal s i n the water col umn and BOD al l

pl ay a ro l e i n regul ati ng oxygen l evel s i n the water These factors are

i n turn regu l ated by the energy i nputs i nto the system sun l i g ht

detr i tus and d i s sol ved nutri ents

Odum ( 1 957 ) suggested that gross product i on of an ecosystem may

i nc rease l i nearly wi th i ncreas i ng l i ght i ntens i ty even thoug h the gross

product i on of an i nd i v i dual pl ant woul d exh i b i t a hyperbol i c response to

i ncreas i ng l ig ht i ntens i ty A study of Li ttl e Lake Conway ( near Orl ando)

re vea l ed that photosynthet i c effi c i ency actual l y decreased wi th

i ncreas i ng 1 ight i nten s i ty ( Fontai ne and Ewel 1981 ) Th i s same study

al so noted that the contri but i on of submerged macrophytes and assoc i ated

epi phytes probabl y accounted for seasonal peaks i n product i on s i nce

pl ankton gross product i on rema i ned essent i al l y constant throughout the

year Th i s emphas i zes the need for mu l t i pl e methods when i nvesti gat i ng

convnun i ty product i v i ty and metabol i sm

The fi rst convnun i ty metabol i sm mon i tori ng was conducted over a 2 4

hr peri od o n September 30 and October 1 1987 Measurements o f water

temperature d i s sol ved oxygen content and l i ght penetrat i on were

conducted as descr i bed bel ow Sampl i ng was concl uded wi thout any

i nc i dent and al l pl anned parameters were measured

6- 1

VI B METHODS

Convnuni ty metabol i sm was measured by the d i el oxygen mon i tori ng

techn i que (Odum and Haski n 1958 Odum and Wi l son 1962 Odum 1967 ) a

methodol ogy used to est i mate gross system product i on by cal cul at i ng the

rate of b i ol og i cal l y med i ated oxygen changes i n a water col umn over a 24

hour peri od

Convnun i ty metabol i sm measurements were made at the same stat i ons

on the same sampl i ng date as phytopl ankton pri mary product i v i ty to

prov ide as compl ete a set of overal l product i v i ty and met abol i sm val ues

as pos s i bl e Data were gathered from the three control and three

experi menta l stat i ons for the Hvdr11l a harvest mon i tori ng and used to

d i fferent i ate harvested from non middot harvested areas locat i ons of stat i ons

are i l l ustrated i n F igure 6 1 Subsequent sampl i ngs wi l l enabl e seasonal

vari at i ons of convnun i ty met abol i sm to be asses sed

As requ i red surface ( 0 2 ) and bottom (0 8 of total depth )

measurements of d i ssol ved oxygen and temperature were made at al l s i x

stat i ons over a 24 hour per iod I n add i t i on a nearl y compl ete set of

data was col l ected for mid depth ( 50 of stat i on depth ) The add i t i onal

data prov i de a more compl ete perspect i ve of commun i ty metabol i sm

funct i ons Rates for gross and net pri mary product i on and resp i rat i on

were then cal cul ated Rates of oxygen change were cal cul ated for each

stat i on and depth over the 24 middothr mon i tori ng peri od To a l l ow the

detect i on of any vert i ca 1 d i fferences i n the water col umn O i e 1 net

product i on for each stat i on an depth was determi ned by summat i on of

oxygen change val ues over the 24 middothr peri od Dayt i me net product i on ( P

net ) was cal cul ated by sunvnat i on of oxygen concentrat i on changes between

sunri se and sunset Net n i ght t i me respi rat i on ( R n i ght ) was cal cul ated

by sunvnat i on of oxygen concentrat i on changes between sunset and sunri se

An est i mate of gross pri mary product i on ( P gross ) was then cal cul ated

from the equat i on

dayl ight hours [ Rn ight x n ight hours ]

6 middot 2

An est i mate of res p i rati on for a 24-hrs per i od can be made by the

equat i on

( 24- hr ) hours of ni ght

The same est i mates of gross product i on and res p i rat i on were used to y i e l d

est i mates o f metabol i sm per un i t area o f water col umn by cal cul at i ng

d i el changes i n total oxygen content of the water col umn at a stat i on per

square meter

Normal sol ar i n sol at i on was recorded by a pyrhel i ometer pl aced at

the harvester offl oad ramp By i ntegrat i on of the area under the

i n sol at i on traces val ues for total Kcalm2day of avai l abl e energy were

determ i ned In add i t i on to measuri ng total i n sol at i on Li Cor i n s i tu

photometer read i ngs were made duri ng dayl ight hours at each stati ondepth

to determi ne the amount of energy avai l abl e i n the photosyntheti cal ly

act i ve wave l ength s The ext i nct i on coeffi ci ent of l i ght for each

stat i on was cal cul ated by the equati on

E - ( I n l dl s ) -d

where l d - l i ght at depth (d) l s bull l i ght at surface and d depth of

read i ng

VI C I NTER IM RESULTS

Tabl e 6 1 l i sts the data for temperature and d i s sol ved oxygen as

wel l as the hourly changes i n val ues over the 24-hr record i ng peri od

For the date of sampl i ngs the 1987 NOAA sunri sesunset tabl es g i ve

sunri se at 0651 hrs and sunset as 1850 hrs ( standard t i me) or 1 1 hrs 59

m i n utes o f dayl i ght and 12 hrs 1 mi nute of darkness For purposes of

cal cul at i ons dayl i ght vs darkness are therefore cons idered equ i val ent

Tabl e 6 2 l i sts the val ues obtai ned for i nc i dent sunl i ght (deck un i t ) and

l i ght penetrati on at the surface 0 5m and 1 0m depths Un i t s are mi croshy

e i nste i nsm2sec Sol ar i nsol ati on for September 30 October 1 and a

port i on of October 2 are shown as chart record s i n F igure 6 2

Cons i derabl e cl oud i ness for these three days i s ev i denced by the

traci ng s L i ght penetrat i on i nto the water col umn i s represented by data

6-3

i n Tabl e 6 3 Val ues for surface l i ght ( approximate ly 2 cm bel ow

surface) and l i ght at 0 5 m and 1 0 m were recorded The percentage of

avai l abl e surface l i ght and the ext i nct i on coeffi c i ents for 0 5 m and

1 0 m were al so cal cul ated Val ues for percentage l i ght penetrat i on and

ext i nct i on coeffi c i ents were qui te vari abl e but general l y there was much

l ess l i ght penetrat i on to the 0 5m and 1 0m l evel s at the vegetated

stat i ons refl ect i ng the Hvdri 1 1 a coverage L i ght l evel s at these

stat i ons too were vari abl e depend i ng on the rel at i ve th i ckness of the

Hydri 1 1 a mat

There was a l arge amount of vari at i on i n d i ssol ved oxygen val ues

over the course of the 24-hr data col l ect i on peri od Surface and bottom

00 val ues are graph i cal ly represented for each stati on i n F i gures 6 3

and 6 4 F i gure 6 5 exh i b i t s the overal l trends for the harvested vs

vegetated stat i ons for surface d i ssol ved oxygen val ues averaged for al l

three stat i ons of each transect Al l stat i ons fol l owed the same typi cal

trend of r i s i ng 00 val ues for dayl i ght hours peaki ng i n l ate afternoon

and fal l i ng val ues after sun set Thi s trend i s al so seen i n Tabl e 6 4

wh i ch represents the percent saturati on for surface mi d and bottom

depths Aga i n the general trend i s for greatest l evel of percent

saturat i on to occur dur i ng afternoon hours and l owest percentages dur i ng

the early pre-dawn hours The most notab1 e d i fferences occurred for

bottom 00 val ues at Stati on 12 wh i ch appeared to be much l ower overal l

D i ver observat i ons made on December 1 1 1 987 reveal ed that thi s stat i on

has a th i ck l ayer (+0 3m) of very fi ne sed i ments The water- sed iment

boundary was very d i ffi cu1 t to l ocate due to the f1 occu1 ent nature of

t h i s sed i ment It seems probabl e that the very l ow val ues obtai ned at

t i mes at Stati on 12 were probabl y the resu l t of part i al l y l oweri ng the

probe i nto thi s turb i d i ty l ayer

Tabl e 6 5 presents the daytl me net product i on and net n i ght t i me

resp i rat i on as the sum of changes i n oxygen val ues during dayl i ght

( produc t i on ) and n i ght t i me (respi rat i on ) Product i on val ues ranged from

- 0 3 ppm ( Stati on 7 mid depth) to 1 2 0 ppm 02 product i on ( Stat i on 1 1

surface ) Overal l the control stati ons exh i b i ted greater product i vi ty

wi th a mean val ue of 4 4 ppm 02 product i on compared to 2 8 ppm for the

harvested transect For i nd i vi dual compar i sons between harvested and

6-4

comparabl e control 7 of the n i ne comb i nat i ons (3 stat i on pai rs x 3

depths ) exh i bi ted greater val ues for the control s i tes Thi s d i fference

i n product i v i ty i s expected s i nce the Hydri l l a was removed from Stat i ons

7 8 and 9 For net n i ght res p i rat i on Stat i on 1 1 exh i b i ted the

greatest oxygen demand ( -4 4 ppm 02) and Stat i on 12 the l owest demand

( - 1 4 ppm 02 ) However th i s i ncl udes an anomal ous val ue for the bottom

l ocat i on of Stat i on 12 (+1 8 ppm 02 ) For al l but three compari sons

( Stat i ons 7 and 10) control stat i ons exh i bi ted a greater resp i rat i on

demand than the harvested stati ons The trend of reduced resp i rati on at

harvested stati ons woul d be expected due to weed removal

Tabl e 6 6 l i sts the d i el net product i on val ues for each stat i on

for the 24-hr moni tori ng peri od Only one stat i on ( 7 ) exh i b i ted a

negat i ve net product i on val ue as an average for the total water col umn

Th i s i nd i cates a net consumpti on of oxygen over what i s produced by the

photosynthet i c act i v i ty Whi l e there appear to be d i fferences between

stations and overal l transect val ues these were not stat i s t i cal l y

s i gn i fi cant when tested wi th a I -way ANOVA Est i mates of gross primary

product i on are i l l ustrated i n Tabl e 6 7 For the harvested transect

val ues ranged from -7 3 at mi d-depth of Stat i on 7 to 1 2 at the surface

of Stati on 9 For the control transect val ues ranged from -2 8 (mi dshy

depth Stat i on 1 1 ) to 2 3 at Stat i on 12 The val ues for Stat i on 12 need

to be vi ewed wi th caut i on due to the nature of the fi ne sed i ments at thi s

stat i on as prev i ously stated Overal l Stat i on 7 exh i bi ted the l owest

product i v i ty (x bull -4 7 ) fol l owed by Stat i ons 8 (x bull - 1 9) 1 1 (x bull - 1 7 )

10 ( X bull -0 2 ) 1 2 ( X bull 0 2 ) and 9 (X bull 0 6 ) Whi l e the harvest transect

stati ons exh i bi ted l ower overal l pri mary producti on val ues there was no

s i gn i fi cant d i fference between the control vs harvest transects

Tabl e 6 8 presents esti mates of total resp i rati on for a 24-hr

per i od for each stati on Val ues ranged from - 1 2 0 for the surface of

Stat i on 1 1 to -3 2 for surface and middl e val ues of Stati on 7 The

pos i t i ve 3 6 val ue for the bottom of Stat i on 12 i s an anomal y due to the

nature of sed i ments at th i s stati on Data for Stati on 12 wi l l be

reval u ated to determi ne i f appropri ate correct i ons can be mad e There

were no stati st i cal l y s i gn i fi cant d i fferences between val ues of control

versus harvest transects

6 -5

Vl tO t FINAL REPORT ANALYSES

Data anal ys i s for the i nter im report has not been exten s i ve s i nce

onl y data from one event has been eval uated A second mon i tor i ng was

conducted on January 13 and 1 4 1988 for wh i ch data reduct i on i s not yet

compl eted There i s some i nd i cat i on that there may be a d i fference i n

the parameters measured for the SeptemberOctober sampl i ng between the

control and harvest transects These d i fferences were not stat i st i cal l y

detectabl e based upon anal yses o f the fi rst data set Prel i mi nary rev i ew

of data generated by the January sampl i ng i nd i cate fewer d i fferences

between stat i ons than were found i n SeptemberOctober Subsequent

sampl i ngs may enhance the poss i bi l i ty of detect i ng l ow l evel d i fferences

between control and harvest stat i ons i f such d i fferences actual ly occur

Hvdri l l a regrowth was very rapi d w ith i n the harvest transect As

a resul t of th i s rap id return to basel i ne cond i t i ons i t i s unl i ke1 y

that Quarter I I I and IV cORlllun i ty metabo 1 i sm measurements wi 1 1

d i fferent i ate between control versus harvested stat i ons Thus the

harvest i ng i mpacts on commun i ty metabol i sm appear to be most pronounced

i mmed i ate ly after harvest The fi rst quarterl y col l ect i on showed a l arge

vari ance i n data that i s poss i bl y maski ng d i fferences between harvest and

control stati ons The sampl i ng strategy for the th i rd and fourth

sampl i ngs cou ld be restructured to repl i cate the cond i t i ons of Quarters I

and I I Th i s wou ld prov i de a second set of data to prov i de i nformat i on

on max i mum i mpact for a d i fferent harvest season Seasonal growth

di fferences of Hydri 1 1 a and the Okeechobee peri phyton commun i ty can be

expected to resul t i n seasonal patterns of commun i ty metabol i sm Th i s

wou ld entai l a reharvest of the experi mental transect

As ment i oned i n the resul t s the data from Stat i on 1 2 were qu i te

d i fferent from al l other stat i ons due to the very organ i c substratum

For the fi nal report Stat i on 1 2 data wi l l be del eted and the data set

reanal yzed In add i t i on anal ys i s of pa i red stati on combi nati ons (e g

7 - 10 8 - 1 1 9 - 1 2 ) may enabl e a more prec i se d i fferent i at i on of

d i fferences between control versus harvested stati ons

6-6

LITERATURE CITED

Fonta i ne 1 0 I I I and K C Ewel 1981 Metabol i sm of a Fl ori da USA l ake ecosystem L i mnol Oceanog 26 (4 ) 754 - 763

Lewi s F G I I I and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 16-124

Odum H T 1957 Troph i c structure and product i v i ty of S i l ver Spri ngs Fl ori da Ecol Monographs 27 55- 1 1 2

Odum H T 1967 B i ol og i cal c i rcu i ts and the mari ne ecosystems of Texas p 99 - 157 In I A Ol son and F J Burgess ( eds ) Pol l ut i on and Mari ne Ecol ogy W i l ey I ntersc i ence Publ NY

Odum H T and C M Haski n 1958 Comparat i ve stud i es on the metabol i sm of mar ine waters Publ Inst Mar Sci Texas 5 16-46

Odum H T and R F Wl l son 1962 Further stud i es on reaerat i on and metabol i sm of Texas bays 1958- 1960 Publ Inst Mar Sci Un i v Texas 8 23 - 55

6 -7

Table 11 NOUly trature and di solved oxygen values for th central atat lona ( 10 1 1 12) m three N)dri Ua harvested atat fona at

the Lake Okeechobee study ai te

Irature

Run Statl an I i SUrface Mid BottOM

1

2

3

4

5

6

7

8

9

10

1 1

1 2

13

14

1 5

1 6

1 7

18

19

20

21

22

21

24

2

3

4

5

6

7 1340

7 1 505

7 1608

7 1108

7 1800

7 1908

7 2008

7 2105

7 2200

7 2300

7 2346

7 0049

7 0220

7 0113

7 0412

7 0500

7 0600

7 0700

7 0823

7 0906

7 1 005

7 1 105

7 1 21 3

7 1310

8 1 353

8 1 522

8 1627

8

8 827

8 1934

279 280

28 0 28 2

28 1 28 1

280 280

279 279

280 280

280 280

279 279

275 275

27 5 275

272 272

275 27 5

27 5 273

273 273

270 270

270 270

265 270

26 5 26 5

265

265

265 26 5

270 27 0

275 267

273

277 270

280 280

28 1 28 1

28 0 280

279 279

279 279

280

28 2

28 1

280

279

280

28 0

279

275

27 5

27 2

275

273

27 3

270

270

268

26 5

26 5

265

26 5

26 7

26 7

267

278

28 0

28 1

280

279

279

lenperature 01

SUrface Mid Iottca

DiAOlved OXygen Chle I n Oxygen

Surface Mid IottCIII SUrface M id BottOM

1 2

1 1 - 1

- 1 - 1

1 1

o 0

- 1 - 1

- 4 4

o 0

3 - 3

3 3

o - 2

- 2 0

- 3 - 3

o 0

5 0

8 70 750

2 D 695 680

- 1 A 790 770

- 1 Y 830 740

- 1 720 720

1 720 7 1 0

o 6 70 600

- bull 590 600

- 4 I 7 50 740

o G 660 6 60

- 3 H 700 6 30

3 I 840 820

2 860 930

o 480 4 80

3 430 4 10

o 4 70 460

2 3 70 3 15

o - 5 middot 3 320 3 1 0

3 50 o o o

5 5

5 - 3

2

3

1

- 1

1

1

- 1

- 1 - 1

o 0

o o D 5 40

o A 4 70 4 65

2 Y 630 6 20

o 1 1 00 5 30

o 8 30

590 5 90

2 D 690 680

1 A 7 30 730

- 1 Y 700 7 10

- 1 N 700 730

o 680 6 70

400

615 - 1 75 - 70 275

620 95 90 - 55

640 40 30 20

700 - 1 10 - 20 60

660 00 - 10 - 40

600 - 50 - 1 1 0 - 60

600 - 80 00 00

7 00 1 60 1 40 1 00

650 - 90 - 80 - 50

5 70 40 - 30 - 80

770 1 40 1 90 200

9 0 20 1 10 1 40

480 -380 -450 -430

480 - 50 - 70 00

450 40 50 - 30

3 75 - 1 00 - 85 - 75

320 - 50 - 65 - 55

330 30

460 1 90

430 - 70

500 1 60

340 4 70

4 30 2 70

580 -050

680 1 00

730 40

7 10 bull bull 30

10

1 30

- 30

1 55 70

- 90 - 1 60

90

SO -050

90 1 00

50 50

- 20 - 20

730 00 20 20

6SO - 20 - 60 - 80

Tabl e 11 cont inued

TeIIpeIt Tenpert Ch Run St t i on T i 5 fc Mid lottGl Surfac Mid Botta 5 fce Mid BottGl SUrfac M id lottGl

7

8

9

1 0

1 1

12

11

14

15

16

17

18

19

20

21

22 21

24

1

2

1

4

5

6

7

8

9

1 0

1 1

12

8 2024

8 2124

8 2214

8 211]

8 2402

8 0108

8 0304

8 0346

8 0426

8 05 1 7

8 0612

8 0720

8 0835

8 0920

8 1020

8 1 125

8 1 232

8 1121

9 1409

9 1519

9

9 1 742

9 1848

9 1951

9 2040

9 2142

9 2230

9 2127

9 2420

9 0127

280 278

27 5 275

27 5 275

275 275

272 272

270 270

27 0 270

27 0 270

265 270

265 27 0

26 1 265

26 1 265

265

261 26 1

26 5 265

26 7 26 7

270 270

271

270 272

275 275

276 276

272 272

275 275

27 5 275

27 5 275

270 270

270 270

270 27 0

27 0 270

270 270

278

275

275

275

272

27 0

270

270

270

270

26 5

265

265

261

265

26 7

270

271

270

275

276

272

275

275

275

27 0

27 0

27 0

270

27 0

1 - 1

- 5 - 1

o 0

o 0

- 1 - 1

2 - 2

o 0

o 0

- 5 0

o 0

- 2

o 2

2

2

2

1

1

- 5

o

2

2

1

-1 G 650 640

1 bull 5 80 5 80

o T 6 00 5 90

o 8 00 710

- 1 M 700 6 00

- 2 I 740 750

o G 550 5 50

o 4 60 5 00

o T 4 50 4 40

o 5 00 480

- 5 4 40 4 80

o 1 70 2 80

o D 2 90

- 2 A 2 40 2 40

2 Y 495 4 85

2 5 90 5 70

1 570 5 40

1 640

- 1 - 1 4 20 4 10

5 1 5 D 6 25 575

1 1 1 A 690 670

- 4 - 4 - 4 Y 5 20 5 30

1 1

o 0

o 0

- 5 - 5

o 0

o 0

o 0

o 0

1 5 50 5 10

o bull 6 50 620

o I 6 50 630

- 5 G 7 50 760

o 670 660

o T 5 50 5 70

o 700 1 80

o 9 00 870

630 - 30 - 30 - 20

580 - 70 - 60 - 50

5 70 20 10 - 10

600 200 1 40 10

590 - 1 00 - 1 30 - 1 0

590 40 1 50 00

5 20 - 1 90 - 2 00 - 70

5 00 - 90 - 50 20

4 30 - 1 0 - 60 - 70

480 50 40 50

4 10

2 60

2 80

2 15

485

5 50

5 40

630

- M 00 - 70

- 70 -200 - 1 50

- 80 20

- 50 - 45

2 55 2 45 2 50

95 85 65

- 20 - 30 - 1 0

70 90

410 -2 20 -2 20

5 80 2 05 1 65 1 70

690 65 95 1 10

5 20 - 1 70 - 1 40 - 1 70

5 40 30 00 20

6 10 1 00 90 70

600 00 10 - 1 0

760 1 00 1 30 1 60

640 - 80 - 1 00 - 1 20

4 60 1 20 - 90 - 1 80

680 1 50 - 1 90 2 20

850 2 00 490 1 70

Table 1 1 cont inued

Tenperature

Run Stat i on T ime Surface Mid Botta

13

1 4

1 5

1 6

1 7

1 8

1 9

20

21

22

23

24

1

2

3

4

5

6

7

8

9

1 0

1 1

1 2

1 3

1 4

15

1 6

1 7

9 0318

9 0358

9 0439

9 0535

9 0624

9 0742

9 0850

9 0926

9 1 036

9 1 145

9 1 251

9 1 ]40

10 1419

10 1514

1 0 1618

10 1 716

1 0 1 81 5

10 1 92 1

10 201 7

10 2 1 1 3

10 2207

10 2305

10 2355

10 0057

10 0247

10 Oll8

10 0418

10 0508

10 0605

268 268

265 265

263 265

265 265

26 0 263

260 263

260

26 0 260

26 3 263

265 265

270

273

278 laO

la O la O

la 1 la 1

la 28 1

laO 280

28 0 laO

28 0 278

275 275

272 275

275 27 9

275 275

27 1 27 1

270 273

265 27 0

26 5 270

270 27 0

263 265

268

265

265

26 5

263

263

260

26 0

263

265

27 0

27 0

28 0

28 0

281

28 1

28 0

28 0

278

279

27 5

280

275

27 1

273

27 0

270

27 0

26 7

Tenperature Change Surf-=e Mid Iotta

Di ssolved Oxygen Charae In OXygen

Surface Mid Botten SUrf-=e Mid BottOll

2 2

- 3 - _ 3

- 2 0

2 0

- 5 - 2

o 0

o o

3 3

2 2

5

3

2

1

o

o 1

o

- 1 - 1

o 0

o - 2

- 5 - 3

- 3 0

3 4

o - 4

4 - 4

- 1 2

- 5 - 3

o 0

- 2 bull 450 450

- 3 I 360 355

o G 3lD 360

o H 365 370

T

- 2 365 340

o 210 200

- 3 D 1 10

o A 240 2 1 0

3 Y 4 40 495

2 5 60 5 45

5 600

o 700

580 520

o D 790 790

1 A 890 730

o y 650 630

- 1 880 8 1 0

o 650 680

- 2 600 600

1 N 430 420

- 4 I 3 30 430

5 G 4 1 0 4 60

- 5 H 4 50 5 50

- 4 T 830 820

2 630 7 1 0

- 3 4 40 460

o 420 4 30

5 0 0 4 10 3 90

- 7 - 5 - 3 3 10 360

4 50 -450 -420 -4 00

395 - 90 - 95 - 55

300 - 30 05 - 95

340 35 10 40

335 00 - lD - 05

2 00 - 1 55 - 1 40 - 1 35

1 40 - 40 - 60

2 10 70 70

4 10 200 285 260

4 80 1 20

5 60 40

5 0 1 0

80

670 1 00 1 1 0

5 40

590 2 1 0 270 50

5 90 1 00 - 60 00

6 50 -2 40 - 1 00 60

6 00 2 30 1 80 - 50

620 -2 30 - 1 lD 20

5 90 - 50 - 80 - 30

4 50 - 1 70 - 1 80 - 1 40

4 00 - 1 00 10 - 50

4 20 80 lD 20

4 80 40 90 60

8 10 3 80 2 70 330

730 -200 - 1 10 - 80

4 55 - 1 90 -250 -2 75

440 - 20 - 30 - 1 5

3 95 - 1 0 - 40 - 45

3 60 - 40 - _30 - 35

Table 81 cont inued

Teaprature Teaperature QUI D f ssol ved IlXWen Chqe In Oxygen Ral Stat i on T i_ Surface Mfd BoU_ SUrface M i d IIOtt_ Surface Mid Batt_ SUrface Mid Bott_

11

1 9

20

21

22

23

24

2

3

4

5

6

7

I 9

1 0

1 1

1 2

1 3

1 4

1 5

16

1 7

1 1

1 9

20

21

22

23

1 0 0712

10 0821

10 0912

10 1 01 0

10 1 11 2

10 1 Z20

10 1 316

1 1 1455

11 1521

11 1641

11 1 732

11 18lO

1 1 1938

1 1 2029

1 1 2130

1 1 2Z20

1 1 2311

1 1 2408

1 1 0116

1 1 0310

11 0350

1 1 0430

1 1 0524

1 1 0617

1 1 0729

084 1

1 1 0926

1 1 1026

11 1 131

11 1238

263 265

263

265 265

265 265

273 26 5

285 270

277

271 271

280 271

280 280

280 280

275 280

275 275

275 275

275 271

275 275

272 275

270 27 1

270 27 0

261 270

261 270

270 270

260 265

260 263

263 265

263

263 263

265 265

280 270

293 273

26 7

26 5

26 5

26 5

26 5

270

26 7

271

271

210

210

21 0

275

27 5

271

275

27 2

27 1

270

270

270

270

26 7

26 5

26 5

26 5

263

26 5

26 7

270

o o

2

o 1

1 2

- 1

o

o o

5

o 390

- 2 D 4 75

o A 5 15

o y 640

o 900

5 1 1 00

- 3 1040

390

4 80

3 80

4 30

5 80

1 1 1 1 00 520

2 0 0 D 150 600

o 2 2 A 160 5 70

o 0 0 Y 900 660

-5 0 0 650 680

o - 5 - 5 660 630

o 0 0 5 50 5 80

o 3 3 M 560 550

o 3 - 3 I 5 10 5 00

middot 3 0 - 3 G 5 90 5 50

- 2 - 4 - 1 H 620 5 90

o - 1 - 1 T 710 690

- 2 0 0

0 0 0

2 0 0

- 1 5 - 3

4 20 430

3 75 3 70

360 350

3 00 295

o 3

o o

2

1 5

1 3

2

2

2

5

3

- 2 280

o 4 1 0

o 5 85

- 2 D 650

2 A 720

2 Y 1360

3 1 540

2 70

4 1 0

5 40

5 70

100

740

410

4 00

4 1 0

290

360

4 10

290

20 30 50

15 - 1 0

40 1 0

1 25 - 1 00 -1 20

2 60 50 70

200 1 50 1 1 0

- 60 -1 80

525 -240 235

6 00 50 80 75

500 1 0 - 30 -1 00

650 40 90 1 50

660 -250 20 1 0

600 1 0 - 50 60

560 - 1 1 0 - 50 - 40

5 50 1 0 - 30 - 10

490 - 50 - 50 - 60

410 80 50 - 20

600 30 40 1 30

640 _90 1 00 40

4 40 -290 -260 -200

400 - _45 - 60 - 40

3 50 - 1 5 - 20 - 50

300 - 60 - 55 - 50

3 00

4 25

5 15

495

480

680

610

- 20

1 30

1 75

65

70

640

1 80

- 25

1 40

30

230

- 60

00

1 25

90

- 20

- 15

200

- 1 0

Table e 1 cont l nuacl

leaperature leaptrature Change

Rill Statten I I Surface Mfd lottca SUrface Mid Bottca surface Mid Bottca SUrface Mid Bottca

24

1

2

]

4

5

6

7

8

9

10

1 1

1 2

1 ]

14

15

16

17

18

19

20

21

22

2]

24

1 1 1329

12 1 4]]

12 1546

12 1 655

1 2 1 752

1 2 1857

12 1 957

12 2045

12 2141

1 2 2214

12 2]]]

12 2426

12 0133

12 0122

12 0401

1 2 044]

12 0542

12 0629

12 0746

12 855

12 941

12 1 045

12 1 150

12 1255

12 1 344

29]

27] 275

27 5 271

276 275

272 275

275 275

270 270

27 1 275

270 272

275 275

270 27 0

270 270

270 27 0

265 265

26 ] 265

26 ] 26 5

26 5 26 5

260 26 ]

26 ]

260

26 0 260

26 7 26 ]

27] 26 ]

277

29 0

270

275

275

275

27 1

275

27 0

27 1

270

270

27 0

27 0

270

261

26 5

26 7

265

265

26]

260

26 0

26]

26]

26 5

27]

o

2 ]

o 1 4 00

4 50 220

o D 6 SO 5 60

1 - ] 0 A 100 4 50

- 4 0 - 4 5 10 4 90

] 0

5 - 5

1 5

- 1 ]

5 ]

5 - 5

o 0

o 0

- 5 5

- 2 0

o 0

2 0

- 5 2

]

- ]

o 7 ]

6 0

4

1 ]

4 4 60 440

5 4 80 4 70

1 450 5 00

1 II 790 690

o I ]90 ]90

o G 620 5 20

o N 580 5 50

o I 730 750

- 2 4 10 400

-] ]60 ] 55

2 260 2 70

2 2]5 2 ]0

o 280 2 50

2 1 10

] D 1 60

o A 1 60 1 ]0

] 690 220

o 920 ] 60

2 630

8 1 0 00

640 1 40 - ]0

1 90

4 1 0 200 ] 40 220

400 1 50 1 10 - 1 0

40 -2]0 40 middot]60

440 -1 10 - 50 400

480 20 30 40

10 - ]0 30 - 4 1 0

]20 ] 40 1 90 250

]00 -400 -]00 - 20

]00 2]0 1 30 00 2 1 0 - 40 30 - 90

400 1 50 200 1 90

90 -] 20 -]50 -] 1 0

1 00 - 50 bull bull 45 1 0

240 - 1 00 - 85 1 40

220 - 25 - 40 - 20

230 45 20 1 0

07 - 1 70 -221

10 50 61

50 00 - 20

]50 5 ]0 90 ] 00

290 2 ]0 1 40 - 60

240 -290 - 50

490 ] 70 2 50

Table 12 PhotaDet ry values for surface i d and bot tca depths for a l l stat ions for the 24 hour

Rlni tori peri od of Septeri)er 30 through October 1 1981 Deck lIIi t readings are used as a

llleasure of the var i a t i on i n incident sllll f t comi t fons (Uni ts icroei nste i nssec )

Rln Stat i on

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

6

18

19

20

2 1

22

23

24

1

2

3

4

5

1

1

1

1

1

1

1

1

1

1

1

1

1

9

9

9

9

9

Time

1340

1 501

1606

1 709

1800

1906

100

823

906

1 005

1 105

1213

1310

1 341

1521

1621

1 124

1826

1932

120

835

920

1 020

1 125

1 232

1 323

1409

1 531

165 1

1 142

1846

Slbners

Deck 1 Deck 2 Deck 3 Deck 4 eel ib Surface 05 bull 1 0 bull

195

140

910

410

183

1 0 5

3 2

210

580 620

1 700

2100

410

195

660 630

310

93

o 1 5

440

410

140

1 000

2100

2100

228

500

650

190

61

201

130 1020

460

180

102

3 3

210

510

560

1800

2200

500

195

650

810

300

1 1 1

o 14

420

360

570

1200

2200

2200

234

510

640

1 70

61

201

130

1 140

400

168

93

34

o o

460 1 700

2100

o

198

640

660 310

18 o

14

o 400

1300

110

2100

o

246

530

650

160

41

201

130 1 11

440

165

81

34

230 540

790 1100

2200

550

201

610

520

320

75 o

14

560

410

110

560

2200

2200

246

520

600

141

41

189

580 61 0

290 123

9

59

160

440

450

1600

1600

350

186

510

480 200

54

o 4 2

3 1 0

300

560

650

1500

1500

231

430

430

180

55

156

450

490

210

1 1 1

96

8 1

1 30

340

360 1 1 00

100

300

1 11

420

450

168

51

o 14

210

240

320

500

1400

1200

195

350

360

140

33

54

225

144

12 39

66

18

o o

55

500

650

o

99 111

195

60

1 1 1

o 1 2

o 140

310

180

320

o

108

129

120

54

14 1

38 59

51

1 1 1

1 2 3

5 5

1 6

1 1

88

35

55

19 5 1

16

16

54

26

15

o

65

11

90

40

300

250

12

58

1 3 5

1 9

1

lIble 82 cont inued

R Sut i on

6

18

19

20

21

22

23

24

1

2

3

4

5

6

18

1 9

20

21

22

23

24

2

3

4

5

6

18

19

20

21

23

24

9

9

9

9

9

9

9

9

10

10

10

10

10

10

10

10

10

10

10

10

10

11

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

1 1

742

850

936 1038

1 145

1251

1 340

1419

1 51 3

1616

1 716

1815

1919

712

828

91 2

1010

1 1 12

1220

1 316

1455

1527

1639

1 730

1835

n9

841

926

1 026

1 238

1329

SlbIRrl

0ec1r 1 0ec1r 2 0ec1r 3 0ec1r 4 Cal l b Sw-flce 0 5 1 0 bull

o 52

280 430

1 100

520

590

2100

330

730

760

420

126

4 6

42

230

320

1600

1 100

1 200

590

750

580

780 260

60 o

20

600

280

1400

1 100

2100

o 52

280

390

1000

530

570

2100

350

740

750

400

126

41

4 1

230 280 750

1700

850

540

77D 570

720 260

60

o 20

360 220

1200

800

1900

o 0

55 57

o ]40

350 320

1000 780 680 660

o 62000 o 600

360 390

730 730 71 0 690

370 360 120 1 14

33 29

4 3 4 6

o 280

530 330

850 1400

1900 1800

1 400 1900

o 530

810 850

550 540

no 690 330 260

60 60

o 0

23 26

o 350

220 240

1500 1500

no 2000

o 700

o 42

210

310

7DO 370

420

1600

300

540

570

280 87

58

64

220

250

700

1400

800

420

550

460 660 240

54

o 19

400

230

1 100

700

1500

o 37

190

250

460 300

330

1300

270

500

410

220

81

6 7

78

90

150

150

800

280

150

420

400

550

200

28

o 13

80

130

650

500

900

o 23

o 130

150

210

o o

66 45

24

99 78

54

76

o 68

69

73

71

o

52

54

1 5

9

69

o 84

o 7 1

7

5 1

o

o 14

1 1

37

10

55

91

61

66 45

30

84

78

5 2

76

73

72

68

7

69

43

490

55

144

84

66

o 83

88

7

69

5 3

4 6

Table 12 cont lrued

SbDe

RIII Stat ion Deck 1 Deck 2 Deck 3 Deck 4 Cal l b surface 05 bull 1 0 bull

12 1433 550 570 600 650 480 420 540 52

2 12 1545 490 480 490 490 410 350 46 41

3 12 1658 400 430 430 440 4 1 0 350 105 350

4 12 1748 180 180 171 1 74 150 126 81 84

5 12 1 856 29 29 25 lJ 27 1 5 6 1 61

6 12 0 0 0 0 0 0 0 0

18 12 746 64 62 0 7l 49 27 0 7

19 1 2 155 230 230 0 290 180 1 50 0 69

20 12 941 320 300 380 360 240 180 21 7

2 1 12 1045 1 400 1400 1 200 1300 1 200 900 69 75

23 12 1255 2100 2100 0 20000 1600 710 0 4 8

24 12 1144 2100 2100 0 700 1600 1300 0 4

Table 83 Light penetration parameters SUrface light (awroximately 2an below water surface) light at o 5m anl 1 Om as well as the peJOeJ1tage of the surface value anl extintion coefficient for eadl station are represented

SUrface (0 5 Meter) (1 0 Meter) Run Time Light Light Percent Ext Q)ef Light Percent Ext Q)ef

station 7 1 1340 156 0 54 0 34 6 2 12 38 0 24 4 1 41 2 1507 4500 225 0 50 0 1 39 59 0 13 1 2 03 3 1606 490 0 144 0 29 4 2 45 57 0 11 6 2 15 4 1709 210 0 72 0 34 3 2 14 11 1 5 3 2 94 5 1800 111 0 39 0 35 1 2 09 12 3 11 1 2 20 6 1906 9 6 6 6 68 8 75 5 5 57 3 56

18 700 8 1 7 8 96 3 08 7 6 93 8 06 19 823 130 0 11 0 8 5 2 47 20 906 340 0 8 8 2 6 3 65 21 1005 360 0 55 0 15 3 3 76 35 0 9 7 2 33 22 1105 1100 0 500 0 45 5 1 58 55 0 5 0 3 00 23 1213 700 0 650 0 92 9 15 79 0 11 3 2 18 24 1310 300 0 5 1 1 7 4 07

station 8 1 1347 171 0 99 0 57 9 1 09 76 0 44 4 81 2 1521 420 0 177 0 42 1 173 76 0 18 1 1 71 3 1627 450 0 195 0 43 3 1 67 54 0 12 0 2 12 4 1724 168 0 60 0 35 7 2 06 26 0 15 5 1 87 5 1826 51 0 17 1 33 5 2 19 7 5 14 7 1 92

18 720 14 0 12 0 85 7 31 1 0 7 1 2 64 19 835 210 0 65 0 31 0 1 17 20 920 240 0 140 0 58 3 1 08 77 0 32 1 1 14 21 1020 320 0 370 0 115 6 - 29 90 0 28 1 1 27 22 1125 5000 180 0 36 0 2 04 40 0 8 0 2 53 23 1232 1400 0 320 0 22 9 2 95 300 0 21 4 1 54 24 1323 1200 0 250 0 20 8 1 57

Table 8a continued

statioo 9 1 2 3 4 5

18 19 20 21 22 23 24

statioo 10 1 2 3 4 5 6

18 19 20 21 22 23 24

surface Time Light

1409 1950 1537 350 0 1651 360 0 1742 140 0 1846 33 0

742 37 0 850 190 0 936 250 0

1038 460 0 1145 300 0 1251 330 0 1340 1300 0

1419 270 0 1513 500 0 1616 410 0 1716 220 0 1815 81 0 1919 6 7 712 7 8 828 90 0 912 150 0

1010 150 0 1112 800 0 1220 280 0 1316 150 0

(0 5 Meter) Light PeJoent EKt Qlef

108 0 55 4 1 18 129 0 36 9 2 00 120 0 33 3 2 20

54 0 38 6 1 91 14 1 42 7 1 70 23 0 62 2 95

0 130 0 52 0 1 31 150 0 32 6 2 24 210 0 70 0 71

66 0 24 4 2 82 45 0 9 0 4 82 24 0 5 9 5 68 99 0 45 0 1 60

7 8 9 6 4 68 5 4 80 6 43 7 6 97 4 05

6 8 4 5 6 19 6 9 4 6 6 16 7 3 9 9 39 7 1 2 5 7 35

( 1 0 Meter) Light Percent EKt Qlef

72 0 36 9 1 00 58 0 16 6 1 80 13 5 3 8 3 28 19 0 13 6 2 00 7 0 21 2 1 55

14 0 37 8 97 11 0 5 8 2 85 37 0 14 8 1 91 10 0 2 2 3 83 55 0 18 3 1 70 91 0 27 6 1 29 61 0 4 7 3 06

66 0 24 4 141 45 0 9 0 2 41 30 0 7 3 2 61

8 4 3 8 3 27 7 8 9 6 2 34 5 2 77 6 25 7 6 97 4 03 7 3 8 1 2 51 7 2 4 8 3 04 6 8 4 5 3 09 7 0 9 4 74 6 9 2 5 3 70 4 3 2 9 3 55

Table 83 continued

SUrface Time Light

statioo 11 1 1455 420 0 2 1527 400 0 3 1639 5500 4 1730 2000 5 1835 28 0

18 729 13 0 19 841 80 0 20 926 130 0 21 1026 6500 23 1238 500 0 24 1329 9000

statioo 12 1 1433 420 0 2 1545 350 0 3 1658 3500 4 1748 126 0 5 1856 15 0

18 746 27 0 19 855 1500 20 941 180 0 21 1045 900 0 23 1255 710 0 24 1344 13000

(0 5 Meter) Light Feroent Ext Q)ef

52 0 12 4 4 18 54 0 13 5 4 00 15 0 2 7 7 20

9 0 4 5 6 20 69 24 6 2 80 8 4 64 6 87

7 1 5 5 5 81 7 0 1 1 9 06 5 1 1 0 9 17

540 0 128 6 -50 46 0 13 1 4 06 10 5 3 0 7 01

8 1 6 4 5 49 6 1 407 1 80

21 0 11 7 4 30 6 9 8 9 74

(1 0 Meter) Light Peloent Ext Q)ef

490 0 1167 - 15 55 0 13 8 1 98 14 4 2 6 3 64

8 4 4 2 3 17 6 6 23 6 1 45 8 3 63 8 45 8 8 11 0 2 21 7 0 54 2 92 6 9 1 1 4 55 5 3 1 1 4 55 4 6 5 5 28

52 0 12 4 2 09 41 0 117 2 14

350 0 100 0 00 8 4 6 7 2 71 6 1 407 90 7 0 25 9 1 35 6 9 4 6 3 08 7 0 3 9 3 25 7 5 8 4 79 4 8 7 500 4 0 3 578

Tabl e t

Run Stat i on - - _ - - -

1 7 2 7 3 7 4 7 5 7

6 7 7 7 8 7 9 7

1 0 7 1 1 7 1 2 7 13 7 14 7 IS 7 16 7 1 7 7

1 8 7 19 7 20 7 2 1 7 22 7 23 7 24 7

1 8 2 8 3 8 4 8

5 8 6 8 7 8 8 8 9 8

1 0 8 1 1 8 1 2 8 1 3 8 14 8 1 5 8

01 sso 1 ved oxygen va 1 ues expressed as percentages of s aturat i on for each stat i on over the 24 hour mon tori ng peri od

Percent Saturati on - Di ssol ved Oxygen T i me Surface Mid Bottom

- - - - - - - - - - - - _ - - -

1340 1 1 1 25 96 1 5 1 2 1 505 89 03 87 4 86 8 1608 10 1 38 98 8 79 6 1 708 106 33 94 8 82 0 1800 92 07 92 1 89 5

1908 92 24 9 1 0 84 5 N I GHT 2008 85 83 76 9 76 9 2 1 05 75 45 76 7 76 7 2200 95 23 94 0 88 9 2300 83 80 83 8 82 5 2346 88 40 79 6 72 0 0049 106 65 1 04 1 97 8 0220 109 19 1 1 7 7 1 1 5 1 0333 60 73 60 7 60 7 04 1 2 54 1 1 5 1 6 60 4 0500 59 14 57 9 56 6 0600 46 14 47 2 47 0

0700 39 9 1 38 7 39 9 DAY 0823 43 65 4 1 2 0906 67 34 57 4 1005 58 61 58 0 53 6 1 105 79 28 78 0 62 6 1 21 3 139 67 66 3 42 6 1 3 10 1 05 01 53 8

1353 75 18 74 2 74 0 1 522 88 39 87 1 87 1 1627 93 68 93 7 93 7

89 67 9 1 0 9 1 0

1827 89 51 93 4 93 4 N I GHT 1 934 86 96 85 7 83 1 2024 83 27 8 1 7 80 4 2 1 24 73 64 73 6 73 6 22 14 76 18 74 9 72 4 231 3 101 58 92 7 76 2 2402 88 40 75 8 74 5 0 108 93 12 94 4 74 2 0304 69 21 69 2 65 4 0346 57 88 62 9 62 9 0426 56 12 55 4 54 1

Tabl e 84 cont i nued

Run Stat i on

16 8

1 7 8 18 8 1 9 8 20 8 2 1 8 22 8 23 8 24 8

1 9 2 9 3 9 4 9

5 9 6 9 7 9 8 9 9 9

10 9 1 1 9 1 2 9 13 9 14 9 1 5 9 16 9

1 7 9 18 9 1 9 9 20 9 2 1 9 22 9 23 9 24 9

1 10 2 10 3 1 0 4 10

Percent Saturati on - Di ssol ved Oxygen T i me Surface M id Bottom

051 7 62 35 60 4 60 4

06 12 54 67 59 9 51 1 0720 45 97 34 9 32 4 0835 36 16 34 9 0920 29 82 29 8 29 2 1020 6 1 73 60 5 60 5 1 1 25 73 84 71 3 68 8 1232 71 73 68 0 68 0 1323 80 97 79 7

1409 52 85 51 8 51 6 1539 79 36 73 0 73 6

87 77 85 2 87 8 1 742 65 67 66 9 65 7

1848 69 83 67 3 68 6 1953 82 53 78 7 77 5 2040 82 53 80 0 76 2 2 142 94 38 95 6 95 6 2230 84 3 1 83 1 80 5 2327 69 2 1 7 1 7 57 9 2420 88 08 47 8 85 6 0127 1 13 25 109 5 107 0 03 18 56 42 56 4 56 4 0358 44 89 44 3 49 3 0439 4 1 00 44 9 37 4 0535 45 52 46 1 42 4

0624 45 10 42 2 4 1 6 0742 25 95 24 9 24 9 0850 21 0 1 1 7 3 0926 29 66 26 0 26 0 1036 54 67 61 5 58 4 1 145 69 83 68 0 59 9 1 25 1 7 5 50 70 5 1340 88 56 84 3

14 19 74 04 66 6 69 2 1 5 14 101 20 101 2 7 5 6 1 6 18 1 14 22 93 7 75 7 1 7 16 83 42 80 8 83 4

DAY

N IGHT

DAY

Tabl e SA conti nued

Run Stat i on

5 1 0 6 10 7 1 0 8 1 0 9 1 0

1 0 1 0 1 1 1 0 1 2 10 1 3 10 14 10 1 5 1 0 1 6 1 0 1 7 1 0

1 8 1 0 19 10 20 1 0 2 1 1 0 22 10 23 1 0 24 10

1 1 1 2 1 1 3 1 1 4 1 1

5 1 1 6 1 1 7 1 1 8 1 1 9 1 1

1 0 1 1 1 1 1 1 1 2 1 1 1 3 1 1 1 4 1 1 1 5 1 1 1 6 1 1

1 7 1 1 18 1 1 19 1 1 20 1 1

Percent Saturat i on - Di ssol ved Oxygen T ime Surface Hi d Bottom

18 15 1 12 73 103 8 76 9 192 1 83 27 87 1 79 4 201 7 76 86 76 6 75 3 2 1 1 3 54 60 53 3 57 5 2207 41 68 54 6 50 8 2305 52 06 58 8 53 8 2355 57 14 69 8 60 9 0057 1 04 63 1 03 4 1 02 1 0247 79 28 89 8 92 4 0338 54 87 57 9 57 3 041 8 52 38 54 1 55 4 0508 5 1 59 49 1 49 7 0605 45 97 44 9 45 1

07 1 2 48 46 48 6 5 1 3 0828 59 02 49 9 09 1 2 64 22 59 9 5 1 1 10 10 79 8 1 47 4 36 2 1 1 12 1 13 86 53 6 44 9 1 220 142 1 7 73 0 59 1 1 3 16 132 52 36 3

1455 102 1 2 66 4 67 0 1 528 1 08 89 76 6 76 6 1641 1 10 1 7 73 0 64 1 1 732 1 1 5 29 84 5 83 3

82 53 87 1 84 5 1938 83 80 80 0 76 2 2029 69 83 73 6 7 1 1 2130 7 1 10 70 2 70 2 2220 64 75 63 5 62 2 23 18 74 51 69 8 59 4 2408 78 02 74 4 75 6 0 1 16 89 34 86 8 80 5 03 1 0 52 66 54 1 55 4 0350 47 02 46 6 50 3 0430 45 30 44 0 44 0 0524 37 07 36 8 37 5

061 7 34 60 33 5 37 4 0729 50 94 5 1 1 53 0 0841 72 69 64 2 0926 80 76 67 1 6 1 5

N IGHT

DAY

N I GHT

DAY

Tabl e SA con t i nued

Run Stati on

2 1 1 1 22 1 1 23 1 1 24 1 1

1 1 2 2 1 2 3 1 2 4 1 2

5 1 2 6 1 2 7 1 2 8 1 2 9 1 2

10 12 1 1 1 2 1 2 1 2 1 3 1 2 1 4 1 2 1 5 1 2 16 1 2

1 7 1 2 18 12 19 12 20 12 2 1 1 2 2 2 1 2 23 1 2 2 4 1 2

Percent Saturat ion - D i s sol ved Oxygen Ti me Surface Mid Bottom

1 026 89 79 7 1 1 59 9 1 13 1 174 22 1 00 7 85 1 1 238 201 84 93 6 84 3 1329 183 50 80 5

1 433 56 93 27 9 24 1 1 546 82 53 71 5 52 1

10 1 76 57 1 50 8 7 1 98 62 2 5 0

1 857 58 41 55 9 55 9 1957 60 40 59 1 60 4 2045 56 73 63 5 8 8 2 148 99 41 87 1 40 3 2234 49 52 49 5 37 8 2333 78 02 65 4 37 8 2426 72 98 69 2 26 4 0133 91 86 94 4 50 3 0322 5 1 13 49 9 1 1 3 040 1 44 73 44 3 1 2 5 0443 32 3 1 33 7 30 0 0542 29 3 1 28 7 27 4

0629 34 60 3 1 1 28 7 0746 1 3 67 9 0855 19 77 8 7 094 1 19 77 1 6 1 6 2 1045 86 36 27 3 43 5 1 150 1 16 39 44 7 36 0 1 255 80 28 29 9 1344 1 30 38 62 0

NI GHT

DAY

Table 6 5

surface

Midlle

Bottan

X

Sd

Die net production (P i = 00 CNer 24 hrl for each station expressed as parts per millim dissolved equivalent to an oxygen per m3 of water) bull

Harvest Area Olntrol Site Oerall

7 8 9 S d 10 11 12 S d S d

-0 4 0 5 2 8 0 96 1 65 4 6 6 0 1 8 4 1 2 1 2 5 2 4

-3 8 -0 1 1 3 -0 87 2 64 -0 3 0 9 2 6 1 1 1 5 0 1 2 2

0 3 0 5 2 6 1 13 1 27 -2 5 1 2 0 5 -0 3 2 0 04 1 7

-1 3 0 3 2 2 0 4 1 9 0 6 2 7 1 6

2 2 0 3 0 8 3 6 2 9 1 1

Table 6 6 Dlytime net productioo (00 sunrise to sunset) tqgt ani net night time respiratioo (00 sunset to sunrise) bottan for eadl statioo expressed as IPD productionutilization

Harvest Area CCXltrol site OVerall

7 8 9 X S d 10 11 12 S d x S d

surface 3 1 2 5 4 4 3 3 1 0 7 0 12 0 5 2 8 1 3 5 5 7 3 5

Miane -03 2 2 2 9 1 6 1 7 2 1 4 6 5 2 4 0 1 6 2 8 2 0

Bottan 3 6 2 8 4 4 3 6 0 8 0 1 4 7 -1 3 1 2 3 1 2 4 2 4

x 2 1 2 5 3 9 2 8 1 4 3 1 7 1 3 0 4 4 3 9 3 6 3 0

S d 2 1 0 3 0 9 3 6 4 2 3 8

Net Night Time Respiration

Harvest Area Cbntrol site OVerall

7 8 9 Sd 10 11 12 x Sd S d

surface -3 5 -2 0 -1 6 -2 4 1 0 -2 4 -6 0 -3 4 -3 9 1 9 -3 2 1 6

Miane -3 5 -2 3 -1 6 -2 5 1 0 -2 4 -3 7 -2 6 -2 9 07 -2 7 0 8

Bottan -3 3 -2 3 -1 8 -2 5 0 8 -2 6 -3 5 1 8 -1 4 2 8 -2 0 1 9

x -3 4 -2 2 -1 7 -2 4 0 8 -2 5 -4 4 -14 -2 8 2 0 -2 6 1 5

Sd 0 1 0 2 0 1 0 1 1 4 2 8

Table 6 7 Estimates of gross primary production () for each station

Harvest Area COntrol site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -3 9 -1 5 1 2 -1 4 2 3 2 1 0 0 -1 6 0 5 1 6 -07 2 2

Middle -7 3 -2 4 -0 3 -3 3 3 6 -2 7 -2 S 0 0 -l o S 1 6 -2 6 2 6

Bottan -3 0 -l o S O S -1 3 1 9 0 0 -2 3 2 3 0 0 2 3 -07 2 0

-x -4 7 -1 9 0 6 -2 0 2 6 -0 2 -1 7 0 2 -0 6 1 9 -1 3 2 3

S d 2 3 0 5 O S 2 4 1 5 2 0

Table 6 8 Estimates of total respiration for a 24 hem period for each amptatioo

Harvest Area Control site OVerall

- - -7 S 9 x S d 10 11 12 x S d x S d

SUrface -7 0 -4 0 -3 2 -4 7 2 0 -4 S -12 0 -6 S -7 9 3 7 -6 3 3 2

Middle -7 0 -4 6 -3 2 -4 9 1 9 -4 S -7 4 -5 2 -5 S 1 4 -5 4 1 6

Bottan -6 6 -4 6 -3 6 -4 9 1 5 -5 2 -7 0 3 6 -2 9 5 7 -3 9 3 4

-x -6 9 -4 4 3 3 -4 S 1 6 -4 9 -S S -2 S -5 5 4 1 -5 2 3 0

Sd 0 2 0 3 0 2 0 2 2 S 5 6

c=J H A R V E S T I N G T R A N S E C T S

11 E X F E R I M E N T A L T R A N S E C T S

A F F R O X I M A T E W E E D L I N E

I

t middot

I I I I I I I I 1 5

gt-[ 0 r- 0 Z I LU J LU deg 1 00 o a CIl I IU 0 O LU 0( W J X IJ deg I

LAKE OKEECHOBEE

o rum 9 i

-

N O R T H L A K E

S H O A L

F i g ure 6 1 Loc a t i on o f s i x s ta t i on s s amp l ed for commu n i ty meta bo l i sm

5 2 o l c nso on y L e l i cr th ud te o

D i s s o l ve d O xyg e n - S u rfa c e 1 6---------------------------------------------------------- H a rvested

Veg etated

1 2

4

0 0 0 0 0 0 0 0 0 0 0 0 N 00 I) -- N 0 0 -

Ti m e

Figure 6 3 Surface oxygen values over the 2 4 hour mon itoring period for a l l s ix mon itoring stat ions

D i s s o lv e d O xyg e n - Botto m 1 0-----------------------------------------------------------

8

6

4

2

a a a CI

a a CI a

Ti m e

a a co a

a a I) -

H a rvested

Veg etated

Figure 6 4 Bottom dissolved oxygen values over the 2 4 hour monitoring period for a l l s ix mon itor ing s tat ions

M e a n D i s s o l v e d O xyg e n 1 2--------------------------------------------------------

1 0

8

CJ1 6 E

4

2

0 0 0 0 0 0 0 0 0 0 0 r 0 N to I) - N 0 0 -

Ti m e

H a rvested

Veg etated

F igure 6 5 Mean surface d i ssolved oxygen for harvested versus control stat i ons

VII SEDIMENT CHEMI STRY

V I I A INTRODUCTION

Analyses of nutri ent content of the sed i ments of lake Okeechobee

i nd i cate that more than 35 of the phosphorus and more than 20 of the

n i trogen l oad to the l ake rema i ns wi thi n the l ake e i ther i n the

sed i ments or i n assoc i at i on wi th bi ol og i cal materi al wh i ch contri butes to

the detri tal port i on of the sed i ments Trans fer of water col umn

phosphorus to sed i ment appears to be extremely rap i d i n shal l ow areas

wi th more than 50 of amounts added to the water be i ng sequestered by

sed i ment wi th i n 10 days

Ut i l i zati on of sed i ment nutri ents has been demon strated for rooted

submerged macrophytes For phosphorus uptake by Euras i an mi 1 fo i l i n

part i cul ar sed i ment uptake i s preferent i al unt i l water col umn

concentrat i ons exceed a threshol d val ue Sed i ment chemi stri es may

demonstrate measurabl e d i fferences i n areas where Hydri l l a has been

harvested and i s act i vel y regrowi ng al though these changes i f detected

s houl d be sl i ght i n rel ati on to bul k concentrat i ons and shou l d remai n

fa i rly l oc al i zed

Basel i ne sed i ment anal ysi s i s underway to asses s the comparabi l i ty

of control and harvested areas and can resol ve questi ons about gross

vari ati on s i n substratum that coul d substant i al l y affect regrowth of

Hydri l l a The same n i ne (9 ) control stat i ons i denti fi ed i n the water

qual i ty task are be i ng sampl ed together wi th three ( 3 ) stat ions i n the

experi mental transect

V I I B METHODS

V I I I B 1 Sampl i ng

The Basel i ne and Fi rst Post Operat i onal tasks of sed i ment

chemi stry were conducted concurrentl y on November 2 1987 between 0830

and 1600 hrs Duri ng thi s sampl i ng effort there were NE wi nds of 1 5 -

7- 1

20 kts a 2 ft chop i n exposed areas ( Stat i on 13 ) and i ntermi ttent ra i n

squal l s throughout the day

Core sampl es were col l ected i n tr i pl i cate to permi t stat i st i cal

ana l yses from each of 12 stat i ons ( F i gure 7 1 ) u s i ng a boat operated

p i ston - type corer approx imately 7 6cm i n d i ameter equ i pped wi th a check

val ve to rel ease overl yi ng water and a serrated edge to penetrate the

detri tal l ayer ( F i gure 7 2 ) Maxi mum core depth was 20 -25 cm as a very

hard substratum was encountered bel ow 15-20cm of sed i ment Al l cores

penetrated to a sed i ment depth of at l east 1 5cm Us i ng a Beckman 21 i n

1i1Y meter and an i on - spec i fi c probe oxi dat i on -reduct i on potent i al was

measured through ports i n the sampl er at 2cm Scm and 1 5cm hori zon s

wh i l e the sed i ment remai ned i n the corer After measurement of redox

potent i al s the sed i ment was extruded i nto a pl ast i c tub Promi nent

hori zons were noted and any overl y i ng detr itus and rh i zomes were removed

The sed i ment above 15cm was then wel l m i xed transferred to pol yethyl ene

conta i ners and ma i ntai ned on i ce for transport to MML

VI I B 2 Anal Ys i s

A total of 36 cores were processed Total Kje ldahl n i trogen and

total phosphoru s were anal yzed from the f i el d-mo i st sampl es (ma i nta i ned

at 40C ) w i t h i n one week of col l ect i on Methods uti l i zed were from Pl umb

( 1981 ) Kjel dahl d i gest i on i n a bl ock d i gester of 0 5 -2 0g of sed i ment

was fol l owed by sampl e reconsti tut i on automated d i l ut i on and

col or i metr i c determi nat i on of ammoni a and phosphate by Techn i con

AutoAnal yzer I I The resul tant n i trogen and phosphoru s concentrati ons

were converted to a dry we i ght bas i s u s i ng percent mo i sture

determi nat i ons and d i gested sampl e we i ghts

Percent mo i sture was determi ned on al l sampl es al so accord i ng to

methods g i ven in the above reference Sampl es were dri ed at 103 - 1050C

and the dri ed mater i al empl oyed i n percent organ i cs and potass i um

anal yses Procedures for the potass i um anal ysi s are deri ved from the

AOAC Methods of Anal ys i s 13th Ed i t i on 1 980 Less than L Og of dri ed

ground sed i ment was d i gested wi th perchl ori c and hydrofl uor i c ac i ds

d i l uted and anal yzed by atom i c absorpti on

7-2

Gra i n s i ze anal yses were performed on the sed i ment fract i on and

i ncl uded dry s i ev i ng through whol e phi s i ze s i eves together wi th p i pette

anal ys i s and s i ze fract i onat i on of the ltO 063nvn materi al Gra i n s i ze

d i stri but i ons and descri pt i ve stat i st i cs (mean med i an gra i n s i ze

sort i ng skewness and kurtosi s ) were cal cul ated

VI I C INTERIM RESULTS AND DISCUSSION

Tabl es 7 1 l i sts stat i on means of sel ected parameters for sed i ment

sampl es col l ected on November 2 1987 Append i x 7A conta i n s al l

i nd i v i dual anal yt i cal resul ts Al l resul ts are on the basi s of dry

we i ghts and gra i n s i ze i n format i on i s presented i n ph i un i ts ( the

negat i ve l og base 2 of the part i cl e d i ameter i n mi l l i meters )

Measurements of oxidat i on -reduct i on potent i al ( ORP) were corrected to a

standard hydrogen el ectrode and appear i n mi l l i vol t s

Sed iments across the study s i te were remarkabl e for the

heterogenei ty between stat i on s and to onl y a sl i ght1y l esser degree

between the repl i cates at a s 1 ngl e stat i on I n phys i cal appearance

i nd i v i dual sampl es ranged from a dark organ i c and sl i ght ly gel at i nous

con s i stency ( Stat i on 1 2 ) to a grey fi ne textured cl ay s i zed materi al

(Stat i on 2 ) A shel l hash was al so observed in a d i screte l ayer bel ow 15

cm at Stat i on 1 6 Not al l stat i on s or even al l repl i cates at a stat i on

conta i ned v i s i bl e hori zons Root fragment s were present i n many core

sect i on s typi cal l y above 5 cm The detri tal l ayer of unconsol i dated

decompos i ng but recogn i zab1 e vegetat i on fragments was general l y 1 ess

than 2 cm t h i c k and was absent approximately 50 of the t i me The

predomi n ant materi al at the s i t e coul d be descri bed as a fi ne textured

dark grey or brown sand s i zed fracti on Tabl e 7 2 l i sts the cores and

qual i tat i ve fiel d notes descri bi ng them

Intra- stat i on vari at i on i s al so apparent i n the ORP data large

standard dev i at i ons make the detect i on of d i fferences between stat i ons

d i ffi cul t because a d i fference between means of over 200 mv i s requ i red

before stat i ons cou l d be con s i dered to be s i gn i fi cant l y d i fferent at any

one dept h Cons ideri ng the s i te as a whol e average potent i al s at 2 5

and 1 5 cm were 1 22 95 and 83 mv respect i vel y Sul fi des were present i n

7 - 3

some sampl es ( qual i tat i ve determi nat i on ) predomi nant l y those wi th

v i s i bl e vegetat i on fragments

Combi ned resul ts from the study s i te i nd i cated sed iments conta i ned

approximate l y 4 fi ne sand ( 0 1 25 to 0 25 mm part i cl e s i ze d i ameter) and

20 very fi ne sand ( 0 0625 to 0 125 mm di ameter) by we i ght Sampl es

averaged s l i ghtly over 3 s i l t-cl ay content ( l ess than 0 0625 mm

d i ameter) wi th Stat i ons 2 1 5 and 1 2 havi ng more than 10 s i l t -c l ay

Percent organ i c content (determi ned by i gn i t i on ) was typi cal l y l ow

averag i ng 0 7 wi th most repl i cates between 0 3 and 1 0 Stat i ons 2

1 2 1 3 1 5 and 1 6 had more than 1 organ i c content and Stat i on 1 3 had

1 6 organ i c content

Al most 6 of the sed iment was i n granul es ( l arger than 2mm) Mean

and medi an part i cl e s i ze expressed i n phi un i ts were 2 28 and 2 3 5

respect i ve l y As a whol e sampl es were moderatel y t o poorly sorted

( st andard dev i ati ons were h i gh ) and sort i ng coeffi c i ents were between

0 70 and 2 00 In compl ement measures of kurtosi s ( the degree of spread

i n the t ai l s of i nd i v i dual frequency di str i but i on s ) averaged 1 27 Most

i nd i v i du al sampl es ranged between 1 00 and 1 40 wh i ch i s normal to

1 eptokurt i c Di stri but i ons contai ned a sl i ght excess of fi ne materi al and

an average skewness coeffi c i ent of -0 03 I nd i vidual skewness val ues

were predomi nantl y between -0 10 to 0 10 ph i Percent mo i sture averaged

approxi mately 25 and was s l i ght ly h igher at those stat i ons wi th hi gher

percent organ i c content ( Stat ion 12 and 13 contai ned 34 and 30 moi sture

respect i vely)

Total phosphorus content of the sed iments was not excess i ve and

averaged 0 08 mgg across the study s i te Analyses of vari ance detected

no s i gn i fi cant d i fferences between stat i ons for total phosphorus content

e i t her by stat i ons or by treatments Vari abi l i ty between stat i on

repl i cates requi red stat i on means to d i ffer by over 0 07 mgg before

d i fferences were s i g n i fi cant The hi ghest stat i on means were sl ight1 y

greater than 0 1 mgg at Stat i ons 1 1 2 and 13 wh i l e at Stat i ons 8 and 9

concentrati ons were both l ess than 0 06 mgg

Total Kjel dah1 n i trogen al so di spl ayed the same heterogenei ty as

other sed iment parameters The s i te average of 0 27 mgg compares

unfavorabl y wi th the 0 45 mgg requi red for s i gn i fi cant stati on to

7-4

stat i on d i fferences Desp i te th i s several stat i ons d i d exh i bi t

d i fferences Stat i ons 1 2 and 1 3 be i ng s i gni fi cantly h i gher than many

others wi th 0 66 and 0 64 mgg respect ivel y (These two stat i ons were

the same two contai n i ng the h i ghest percentages of organ i cs ) Stat i ons

8 9 10 and 11 al l had concentrat i ons l ess than 0 1 5 mgg al though no

d i fferences were attri butabl e to harvest i mpacts

Potas si um content averaged 0 49 mgg across the s i te wi th Stat i on

1 3 be i ng noteworthy for l evel s of 1 28 mgg Val ues be l ow 0 4 mgg were

recorded at Stati ons 2 3 1 1 and 16 Only Stat i on 13 was s i gn i fi cantly

d i fferent and from al l rema i n i ng stat i ons To be s i gn i fi can t stat i ons

means needed to d i ffer by 0 35 mgg or greater due to the wi th i n stat i on

vari abi l i ty

N i trate -n i tri te -n i trogen content of the sed iments was ch i efl y

remarkabl e for the extremely l ow l evel s The average contri but i on t o the

total n i trogen profi l e was l ess than 0 4 and the hi ghest concentrat i on

observed at Stat i on 8 was onl y 0 001 mgg or about 1 of the total

Stat i on 8 was s i gn i fi cant l y d i fferent from 2 7 and 1 0 but no

d i fferences attri butabl e to treatment were apparent

Rat i os of sed i ment total n i trogen to total phosphorous (TN TP)

were cal cul ated on a we i ght to we ight bas i s and stat i on means are

presented i n Tabl e 7 3 Stat i on means ranged from 1 7 to 6 1 ( s i te

average of 3 1 ) i n compari son to water col umn TN TP rat i os of

approxi matel y 17 (Sect i on I V WATER QUALITY IMPACTS ) over the course of

the study and vegetat i on rat i os (Sect i on I I I BIOMASS ) of approxi matel y

1 1 Those stati ons wi th the hi gher percentages of organ i cs al so recorded

h i gher TN TP rat i os The i mpl i cat i on i s that n i trogen i s preferent i al ly

mobi l i zed from the sed iments ei ther by preferent i al uptake of the

i norgan i c n i trogen decompos i t i on products or by the more refractory

nature of phosphorous Th i s i s i n compl ement to the n i trogen - l imi tat i on

apparent i n the water col umn at the study s i te

VI I D QUALITY ASSURANCE

Tabl e 7 4 deta i l s the prec l s l on and accuracy resul ts obtai ned

duri ng the anal ys i s of sed i ment from Lake Okeechobee Al l data sets were

7 - 5

generated wi th suffi c i ent numbers of dupl i cates and sp i ke recoveri es

wi th i n the target l i mits spec i fi ed

VI I E CONCLUSIONS AND RECOMMENDATIONS

Sed iments i n the study area were extremely heterogeneous both

between and wi th i n stat i ons In phys i cal appearance these ranged from a

fi ne-gra i ned grey cl ay to a gel at i nous organ i c materi al The overl yi ng

detr i tal l ayer ( not i ncl uded i n chemi cal analyse s ) was typ i ca l l y l ess

than 2 cm th i ck i f present As a resu l t of wi th i n stati on vari at i on few

s t at i on - to - s t at i on d i fferences were judged to be stat i sti cal l y

s i gn i fi cant

Ni trogen phosphorous and organ i c contents were l ow overal l and

fi ne to very fi ne sands were the predomi nant sedi ments s i zes

Phosphorous content averaged 0 08 mgg (dry wei ght ) and n i trogen content

averaged 0 27 mgg N i trate-n i tri te content of the sed i ments represented

l ess than 1 of the total present Potass i um content averaged 0 49 mgg

Stat i ons contai n i ng h igher percentages of organ i c s were al so those

el evated for n i trogen content ( Stat i ons 12 and 1 3 ) Sed i ment averages of

total n i trogen phosphorous rat i os were only sl i ghtl y over 3 0 i n contrast

to water col umn TN TP rat i os averag i ng 17 and b i omass TN TP rat i os of 1 1

Th i s wou l d i mp ly that n i trogen i s e i ther ut i l i zed preferent i al l y andor

that phosphorou s i s more refractory As the water qual i ty i mpacts

sect i on of th i s report found the water col umn to be n i trogen-l i mi ted

based on i norgan i c d i ssol ved nutri ent spec i es the assumpt i on i s that the

n i trogen compounds rel eased by decompos i ng organ i c matter i n the

sed i ments are rapi dl y uti l i zed

Because sed iment heterogene i ty prevented detect i on of sed i ment

chemi stry di fferences between harvested and control areas and because

n i trate -n i tri te-n i trogen represented such a smal l fracti on of the total

present recommendati ons i ncl ude a) i ncrease the col l ect i on of sed i ment

cores from three ( 3 ) to fi ve ( 5 ) b) ana1 yzi ng total Kje 1dah1 n i trogen

and total phosphorus on l y on the two add i t i onal cores Thi s i ncrease i n

rep1 i cates per stat i on shoul d permi t detect i on of d i fferences at l ower

concentrat i on s and could be coupl ed wi th vegetat i ve surveys for

7 - 6

i nformati on on regrowth The support for th i s proposed effort coul d be

obta i ned by del et i on of oxidat i on -reduct i on potent i al and n i trateshy

n i tri te - n i trogen determi n at i on s at al l stat i on s

7 - 7

Table 7 1 Sediment dlemisby station means Lake OksectdJee NovElJi)er 1987

Total Nitrate- Median Kjeldahl Nitrite Total Grain emgt emgt emgt Nitrogen NitJt)gen Hlosphorus kJtassium Size silt-

STATIOO (Dgq) (Dgq) (Dgq) (Dgq) ltJisture organics (pU) Clay 2an SaD 15aD

1 0 24 0 0008 0 11 0 59 25 7 0 5 2 72 2 5 - 7 12 41

2 0 16 0 0003 0 06 0 39 22 1 1 1 2 4 5 15 2 124 96 84

3 0 19 0 0006 0 07 0 38 23 9 0 5 1 93 1 6 201 184 115

7 0 23 0 0003 0 09 0 45 20 1 0 6 1 73 2 1 214 215 -145

8 0 11 0 0012 0 05 0 28 22 5 0 3 2 47 1 4 85 28 48

9 0 09 0 0006 0 05 0 42 23 5 0 2 2 58 0 9 104 65 81

10 0 14 0 0003 0 07 0 49 23 2 0 4 2 42 0 6 151 135 181

11 0 11 0 0008 0 05 0 33 22 9 0 3 2 44 0 6 69 38 38

12 0 66 0 0007 0 12 0 47 34 0 1 2 2 46 5 9 85 90 110

13 0 64 0 0008 0 11 1 28 30 6 1 6 3 01 3 5 110 112 8

15 0 25 0 0005 0 10 0 44 24 8 1 0 1 76 7 1 116 51 49

16 0 42 0 0008 0 07 0 35 26 6 0 8 2 25 2 3 209 112 92

Table 7 2

STATION

1

2

3

7

8

9

10

11

12

13

15

16

Sediment core descriptions lake Okeecbdlee Naveniler 1987

REPLICATE

1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J 1 2 J

CDRE DESCRIPIIONS

lBrk in oolor m horizaS t UI1CXlnSOlidated lBrk in oolor m horizaS t UI1CXlnSOlidated ptrk very urplOSOlidated gray sani below 7 gn lBrk in oolor gray clay below 15 5 an roots tubers lBrk in oolor gray clay below 12 an roots tubers [)ark in oolor gray clay below 12 an roots tubers bull

lBrk in oolor m visible horizons lBrk in oolor 5 an horizal roots tubers ptrk in oolor 5 an horizCl1 roots tubers bull lBrk IIDre sani below 6 an lBrk DDre sand below 6 an [)ark JrPre sand below 6 an bull

lBrk brown sand darker in oolor below 5 an lBrk brown sani horizal at 3 an [)ark brown sani horizon at 3 an bull lBrk brown sand gray sand below 6 an roots lBrk brown sand gray sam below 6 an roots ptrk brown sam gray sanl below 6 en roots bull

lBrk sand light colored sam below 7 an fBil roots

lBrk sand light colored sand below 7 an fBil roots [)ark sani light oolored sam below 7 an fBil roots bull

lBrk sediment lighter color below 3 an roots

lBrk sediment lighter oolor below 3 an roots

[)ark sedilrent lighter color below 3 an roots bull Very UI1CXlIIlSOlidated dark sediment gelatinous medium sand below 6 an Very UI1CXlIIlSOlidated dark sec1iment gelatirxlus neiium sand below 6 an Very urpJlSOlidated dark sec1iment gelatinous medium sani below 6 an bull lBrk sediment horizon at 10 an lBrk sediment horizon at 2 an arrl 10 en

Icxsely packed no horizons bull Ioosely packed no horizons lBrk sediment sand horizal 5-10 an gray clay below 10 an ptrk sediITent sand horizon below 5 an gray Clay below 15 an bull Dllk sand lighter sarrl below 8 an roots

No horizons Dirk sarrl lighter sarrl below 5 an shell hash below 15 an roots bull

Tabl e 7 3

Stat i on

1

2

3

7

8

9

10

1 1

1 2

13

15

16

Sed i ment total n i trogen total phosphorus rat i o s Lake Okeechobee November 2 1987

TN TP

I SO

2 4 1 0

2 6 0 7

3 0 1 2

2 4 0 7

2 0 1 5

1 7 0 5

2 0 0 8

2 2 0 5

5 3 1 6

6 1 3 9

3 1 2 2

6 0 1 4

Table 7 4 sediJnent analyses quality assurarxe targets am results Lake Okeecildlee

Precisian Aauracy Precision Aauracy PARAMErER (x RSO SO) (x RSO SO) (n 2 RSO SO) (n 5( RSO SO)

Total Kjeldahl Nitrogen 8 12 100 9 9 9 8 7 1 6 103 9 5 7

Total IbosJtlOros 7 8 104 12 6 9 3 4 3 6 100 0 5 4

Rgttassium 7 5 100 9 5 5 1 4 8 5 88 1 6 3

Percent loklisture 2 1 6 2 0 1 5

Mean Grain Size 5 3 6 5 6 7 1

Percent Organics 5 3 5 1 7

Percent Siltltlay (pipette analysis) 6 15 0 2 9

10 H A R V E S T I N G T R A N S E C T S

1=== 1 E X P E R I M E N T A L T R A N S E C T S

A P P R O X I M A T E W E E D L I N E

LAKE OKEECHOBEE

1

D r n 1 a l e i I U I

lii I

11 middot 5 I I I I

- 1 3

I I r= I

- -- 1 6

N O R T H L A K E

S H O A L

gt- deg 0 zl w =gt w 0 1 III 0 0 ClJ I W 0 o LIJ laquo W J I yen

() 0

1CAl( J bullbull

_ bull Jr-= - _ _ _w _ bull bull -_ bull bull -- u middot _ bull w _ _ raquo -- -

F i gu re 7 1 Sed iment c hemi s try s ta t i o n l ocati o ns November 2 19 87

______ p v C Handle

____ Handle bolt

Valve release

_J4-______ Flapper valve

F i gu re 7 2 Sedi men t cori ng dev i ce

_---- O5mm mesh

--__ -Epoxy sealer

1Jt--______ 75 em aluminum pipe

V I I I BENTH I C FAUNA IMPACTS

VI I I A INTRODUCTION

Benth ic macrofauna ( an i mal s reta i ned on a O Snvn s i eve) can be

separated i nto two bas ic components 1 ) epi fauna con s i st i ng of the

organ i sms l i v i ng on the surface of the substratum and the surfaces of the

macrophytes and detri t al materi al l y i ng on or attached to the substratum

and 2 ) i n fauna con s i st i ng of the organ i sms l i v i ng wi th i n the confi nes of

the substratum The epi fauna of freshwater systems pr i mari ly cons i sts of

mot i l e and sess i l e i n sect s (predomi nantly l arvae) crust aceans and

ga stropod s Ot her groups such as Pl atyhel mi nthes ( fl atworms )

Coel enterata ( hydro i d s ) Pori fera ( sponges ) and H i rud i nea ( l eaches) may

al so be present al though i n fewer numbers The i n fauna are general l y

domi nated by ol i gochaetes i n sect l arvae b i val ve s and cru staceans

Spec i es composi t i on of the benth ic communi ty i s dependent on substrate

type presence or absence of macrophyte s l evel of detri tus and organ i cs

and water qual i ty

Wh i l e there i s l i ttl e i n format i on concern i ng d i rect effects of

phosphoru s n i trates and n i tr i tes on benth i c organ i sms gross organ i c

pol l ut i on ( eutroph i cat i on ) i mpoveri shes the l i ttoral fauna of l akes

Spec i e s of Chi ronomi dae Psychod i dae Cul i c idae and Ol i gochaeta often

predom i n ate under such cond i t i on s whereas spec i es of Tri choptera

Ephemero pte a and other groups typ i cal of unpol l uted cond i ti ons are

usual l y absent ( Resh and Rosenberg 1984 ) The aquat i c vegetat i on i n

normal unpol l uted l akes i s an important source of pri mary product i v i ty

and habi tat for aquat ic i n sects and other i nvertebrates

Benth i c fauna pl ay an i mportant rol e i n the normal breakdown of

detri tal materi al s suppl i ed from both terrestri al and aquat i c sources

I n turn they prov ide an abundant and d i vers i fi ed source of prey i tems

for secondary and terti ary consumer organ i sms such as fi sh frog s

turtl e s crayfi sh etc many o f wh i ch are commerci al l y i mportant to man

Excess i ve amounts of detri tu s as from aquat i c weeds s i gn i fi cantly al ter

the normal benth ic fauna i n favor of spec i es tol erant of l ow l eve l s of

d i s sol ved oxygen h i gh l evel s of fi ne part i cul ates and el evated organ i c

8- 1

compos i t i on The benth i c fauna of Lake Okeechobee general l y exh i bi t l ow

d i vers i ty the domi nant organi sms be i ng ol i gochaetes i nsect l arvae

amph i pods and the pel ecypod Corbicyl a (Dav i s and Marshal l 1975) It i s

expected that both short and l ong term al terat i ons of the benth ic

epi fauna and i nfauna wi l l contri bute to the eval uati on of the success or

fa i l ure of the experi mental treatments ( e g weed harvest i ng) of thi s

study

Chi ronomi d assembl ages have been found to be useful i nd i c ators of

troph i c cond i t i ons and have been used to cl ass i fy l akes ( Saether 1975

1979 ) Warwi ck ( 1980 ) has ass i gned troph i c i ndex numbers to ch i ronomid

assoc i at i ons These assoc i at i ons have been correl ated wi th mean

concen t r at i o ns of tota l phos phorusmean depth or wi th total

chl orophyl l mean depth i n many North Ameri can and European l akes

(W i derhol m 1979 1980 Saether 1980 ) Some aquat i c ol i gochaete spec i es

are al so known to be i nd i cators of substratum and water qual i ty

( Bri n khurst and Jamieson 197 1 ) Spec i es of Tubi f ic i dae are part i cul arl y

cORlllon i n sed i ments exh i bi t i ng h i gh organ i c content and l ow d i ssol ved

oxygen l evel s

V I II B METHODS

V I I I B 1 Study Locat i onExperi mental Design

The experi mental des i gn for the study of benth i c i mpacts i s based

upon compari son of control versus impacted stat i ons Three control

stat i ons were l ocated adjacent to the experimental transect and study

areas ( F i gure 8 1 ) The control stat i ons are essent i al for separat i ng

spat i al and temporal vari at i ons from experimental i mpacts An earl y MML

reconna i ssance survey i n Apri l 1987 i nd i cated the sed i ments of the study

area were rel at i ve ly homogeneous cons i st i ng of fi ne fl occul ent muddy

sands wi th l arge amounts of detri tal materi al Subsequent deta i l ed

sampl i ng efforts have i nd i c ated greater spat i al vari at i on i n sed i ment

types Di ver observat i on s however i nd i cate that the surface sed i ments

( I - Scm) for al l benth i c stat i ons except 12 are general l y s i mi l ar i n

8- 2

texture and appearance These d i fferences are d i scussed 1 ater i n the

report

Basel i ne Study

On August 24 1987 10 days pri or to the actual cutt i ng of the

experimental transect the benth i c stat i on l ocati ons were confi rmed and

sampl ed for basel i ne cond i t i ons A total of 72 s ampl es were col l ected

for macrobenthos and 48 were processed No Hester-Dendy sampl es were

col l ected at thi s t ime

Post -Operat i onal

On September 18 1987 one day after the experi mental transect was

h arvested the fi rst post -harvest benth i c s ampl i ng took pl ace S i nce

weed harvest i ng was expected to exh i bi t the most pronounced effects on

the benthos shortly after harves t stat i ons wl l l be s ampl ed at compl et i on

( t i me 0 ) then agai n at 2 4 6 1 2 1 8 and 24 weeks post-harvest No

gra i n s i ze or percent organ ics sampl es wi l l be taken at these t i mes The

sampl i ng reg i me and rel at i ve age of the stat i ons for each sampl i ng are

i l l ustrated i n F igure 8 2

Hester-Dendy s ampl ers pos i t i oned i mmed i atel y after harvest were

co 1 1 ected at each samp 1 i ng and fresh ones depl oyed at each subsequent

sampl i ng

A second harvest was conducted i n December 1 987 Two add i t i onal

sampl i ng l ocati ons 7A and lOA were establ i shed between stati ons 7 and 8

and 10 and 1 1 respect i vel y for poss i bl e add i t i onal eval uat i on

VI I I B 2 F i el d Col l ect i ons

An i m portant cons i derat i on for properl y sampl i ng benth i c

commun i t i es i s the type o f s ampl i ng dev i ce used Many types o f devi ces

are currentl y i n use and the i r meri ts and drawbacks have been eval uated

(Hol me and Mc Intyre 1984 Pennak 1953 Thayer et al 1975 Tyl er and

Shackl ey 1978 ) Many stud i es have focused excl u s i vel y on the

effect i veness of certai n s ampl ers or have made s i de by s i de compari sons

of several d i fferent sampl ers (Chri st i e 1975 Paterson and Fernando

8-3

1971 Mi l bri nk and Wi ederhol m 1973 ) Cori ng devi ces are presently

con s i dered the most appropri ate method for shal l ow water sampl i ng be i ng

repeated l y quant i tati ve wi th a h i gh l evel of prec i s i on for a vari ety of

bottom types both vegetated and unvegetated Recent l y a comprehen s i ve

compari son of three d i fferent s i zed benth i c corers i nd i cated that

rel ati vel y smal l d i ameter cores are most effi ci ent in sampl i ng benth i c

macrofauna ( Lewi s and Stoner 1981 ) I n contrast most 1 i ghtwei ght

grabs i ncl ud i ng the pet i te Ponar grab (commonl y used i n Fl ori da

freshwater stud i es ) do not penetrate to a uni form depth i n al l substrate

types and may not operate at al l i n dense vegetat i on Th i s observati on

was confi rmed on Apri l 8 1987 duri ng a fi el d reconnai ssance of Lake

Okeechobee by MML personnel A peti te Ponar grab was found unsu i tabl e to

sampl e most areas of the study s i te

Benth i c i nfauna was col l ected us i ng a PVC cori ng devi ce wh i ch

sampl es an area of 45 4 cm2 bull The devi ce i s a mod i fi cat i on of a s i mi l ar

corer devel oped by Ci ty of Tampa personnel to quant i tat i vel y sampl e the

sed i ments of H i l l sborough Bay ( C i ty of Tampa personal commun i cat i on )

The core i s fi tted wi th a one -way check val ve wh i ch reta i ns the sampl e by

suct i on I t i s attached to the end of a l ength of p i pe and i s depl oyed

from the sampl i ng vessel The sampl i ng dev i ce i s easy to operate and

obtai ns a un i form samp l e s i ze for vari ous sed i ment types to depths of

25 ft

Twel ve repl i cate sampl es were col l ected at each stati on Based

upon past experi ence of the study team i t was fel t that 8 or fewer

repl i cates wou l d adequatel y characteri ze the fauna Budget i ng and

manpower esti mates were based upon 8 repl i cate core sampl es at each

stat i on The four rema i n i ng cores were used for backup and archi val

sampl es

Each core was s i eved throug a 0 5mm mesh s i eve ( 35 U S

stand ard ) wh i ch has proved to be of proper s i ze for quant i tati vel y

sampl i ng benthos ( Re i sh 1959 Bi rkett and Mc Intyre 1971 Lewi s and

Stoner 1981 ) Sampl es were s i eved i n the fi el d the an i ma l s were

narcoti zed w i th a 10 magnes i um sul fate sol ut i on and preserved wi th 1 0

buffered formal i n to wh i ch rose bengal sta i n had been added i n order to

fac i l i tate accuracy of sort i ng Sampl es rema i ned i n 10 formal i n for 48 -

8-4

72 hrs to i nsure proper fixat i on they were then transferred to 70

i sopropyl al cohol for storage pri or to l aboratory proces s i ng

VI I I B 3 Laboratory Methods

In the l aboratory al l organi sms were fi rst rough sorted i nto major

taxonomi c groups ( i e ol i gochaetes i nsects mol l uscs crustace a etc )

by use of a 7 -40X stereozoom d i ssect i ng mi croscope Ident i fi cat i ons to

the l owest practi cal taxonomi c l evel (genus and spec i es i n most cases )

was performed by exper i enced taxonomi sts

Mod i fi ed Hester-Dendy art i fi c i al substrate sampl ers were ut i l i zed

to mon i tor epi faunal col on i zati on pri mari l y the aquat i c i nsect l arvae

Th i s method i s approved as an i nvertebrate col l ect i ng tech n i que by the

U S EPA (Weber 1 973 ) and has been sati sfactori l y used by other

i nvesti gators (Tsu i and Breedl ove 1 978 Beak et al 1 973 Ful l ner

1971 ) Two separate sampl ers per stat i on were l eft i n pos i t i on at m id

depth from one macro i nfaunal sampl ing to the next ( e i ther 2 or 6 weeks )

After retri eval the sampl ers were pl aced i nto a 10 buffered formal i n

sol ut i on i n the fi el d for preservat i on of attached fauna I n the

1 aboratory one of each pai r of sampl ers was taken apart and the fauna

scraped from the pl ates then i dent i fi ed to the l owest pract i cal

taxonomi c l evel The second sampl er was used as a backup andor arch i ve

sampl e

Data Anal yses Impact Asses sment

The assessment of env i ronmental i mpacts on the benthos from

spec i fi c d i sturbances (wi th i n reasonabl e constrai nts of a manageabl e and

cost effect i ve sampl i ng program) poses d i ffi cul t stat i st i ca l probl ems

The assessment of effects of an impact by ANOVA or other proced ures of

i nferen t i al stat i st ics cannot be val i dl y used to test for the i mpact of a

po i nt - source of pol l ut i on or i mpact on spec i fi c areas I t can onl y

demonstrate s i gn i fi cant d i fferences between areas wh i ch may often occur

natural l y Therefore the probl em becomes one of eval uati ng recovery by

compari sons of impacted versus non - i mpacted control s i tes Hurl bert

( 1984 ) descri bes i n deta i l the common p i tfal l s made by i nvest igators

8-5

concern i ng the appl i cat i on of conventi onal parametri c stat i st i cs Most

parametric stat i st ics requ i re randoml y appl i ed treatments to mul t i pl e

s i tes that area al so randoml y d i spersed Because such s i tuat i ons are not

read i l y ava i l abl e for envi ronmental i mpact stud i es i t does not

necessari l y fol l ow that envi ronmental impact cannot be rel i abl y measured

Rather a d i fferent approach i s necessary Al l an Stewart -Oaten et al

( 1986 ) descri bed a rat i onal e for the eval uat i on of env i ronmental i mpact

assessment based upon the magn itude of vari ati on between control and

affected areas before and after impact

For any habi tat there are vari ati ons i n spec i es compos i t i on

faunal d i stri but i on gra i n s i ze d i stri but i ons RPD l ayer methane vo ids

etc even over very smal l d i stances In add i t i on temporal changes can

al ter these parameters i n an unpred i ctabl e manner However the

mag n i t ude of the vari at i on of these parameters about a mean val ue wi l l

often be characteri st i c for a habi tat type Furthermore the magni tude

of the vari ati on i s general l y l ow i n very homogeneous areas The

stat i st i cal object i ves of thi s task are to

1 ) Descri be and measure the vari ous sed iment and benth i c faunal

parameters of the study area

2 ) Obtai n an esti mate of the vari at i on of these parameters at

i nd i v i dual stat i ons about the mean val ue for the study area

3 ) Ident i fi cat i on of i mpacted and control stat i ons ( un i mpacted )

4 ) Eval uate the effect of weed harvest by compari ng the control to

i mpacted stat i ons and measuri ng the vari at i on of the sed i ment and

faunal parameters

Anal yses used for the data from the August and October s ampl i ng

peri ods i ncl udes spec i es ri chness (countsstat i on ) faunal dens i t i es (no

organ i smsm2 ) Shannon -Weaver d i vers i ty H ( Shannon and Weaver 1 963 )

P i el ou s equ i tabi l i ty J ( P i el ou 1975 ) Spec i es s aturat i on curves

(Hol me 1953 Gl eason 1922) wi l l be generated to determi ne the

appropri ate number of sampl es necessary to adequatel y descri be the fauna

of each stat i on Upon compl et i on of the project add i t i onal anal yses

wi l l i ncl ude mul t i vari ate quant i fi cat i on and cl uster anal ys i s (Al l en et

8-6

a1 1977 Bl oom et a1 1980 ) and Mori s i ta s i ndex of faunal s i mi l ar i ty

(Mori s i ta 1 959 )

V I I I C INTERIM RESULTS

YI I I C 1 Faunal Compos i t i on

Two sampl i ng peri od s were analyzed for th i s report the basel i ne

sampl i ng event (August 24 1987 ) and a post- harvest i ng sampl i ng event

(October 16 1987 ) Data for the benth i c core analyses are presented

here i n No Hester-Dendy sampl es were col l ected for August and resul ts

for Hester- Dendy anal ys i s for October wi l l be presented i n subsequent

reports

A total of 59 taxa was col l ected duri ng the two sampl i ng peri ods

compri s i ng seven phyl a Arthropoda Annel i d a Mol l usca Hydrozoa

Endoprocta Pl atyhel mi nt hes and Nematoda Tabl e 8 1 l i sts the taxa

recovered duri ng these sampl i ngs in phyl ogenet i c order and the occurrence

at control or harvested stat i on s

The most spec i es ri ch phyl um was Arthropoda composed primari l y of

the subphyl um Insecta pri nc i pal l y the Ch i ronomidae ( Di ptera) represented

by 1 5 tax a Three add i t i onal fami l i es of l arval d i pterans were al so

e n c o u n t e red each re presented by a s i ng1 e taxa Chaoboridae

Ceratopogon i dae and Tabani dae The orders Hemi ptera Tri choptera and

Col l umbo1 a were al l represented by a s i ng l e taxa respect i vel y Other

than the Di ptera only the Odonata was represented by more than one

taxon

The Crustacea were the second most spec i es r ich cl ass of

Arthropod s represented by 4 orders each with a s i ng l e taxon Ostracod a

I sopod a Amph i pod a and Decapod a

The l east abundant cl ass o f arthropods represented by a s i ng l e

taxon Hydracari na was i nfrequentl y encountered

Anne1 i d a ( represented on l y by 01 i gochaetes ) was the second most

spec i es ri ch assembl age Two fami l i es were encountered i n the study

area Nai d i dae was the most d i verse fami ly w ith n i ne taxa The pri mary

mode of reproduct i on for the spec i es i n th i s fam i l y s asexual

8 -7

consequent ly thei r popul at i on s can be very s porad i c i n occurrence

per i od i cal l y resul t i ng i n very h igh numbers

The second fami l y of ol i gochaetes i n the study area Tubi fi c i dae

was compri sed of only two speci es Au1 0dri 1 us piguet i cou l d be

i dent i fi ed from i mmature specimens however the other spec i es

l1mnodril us hoffmeisteri can only be i dent i fi ed as mature i nd i v i dual s

As a resul t the i mmature worms were separated i nto two groups - - those

s pec i mens wi thout cap i 1 1 i form setae and those wi th cap i 1 1 i form s etae

The fi rst group was probably compri sed enti rel y of i mmature l1mndri 1 us

hoffme i steri A1 though no mature spec i mens of the 1 atter group were

encountered they were probabl y I] odri 1 ys tamo1 eton i

Mol l usca was the thi rd most d i verse phyl um represented by s i x

spec i es o f g astropods Al though many of the s ampl es contai ned h i gh

numbers of dead shel l s both bi val ves and gastropods l i ve mol l uscs were

i nfrequentl y encountered

Four mi scel l aneous phyl a were occas i onal l y col l ected Cn i d ari a

and Endoprocta contai ned the col on i al organi sms Cordy1 0ohora 1 acustri s

and Urnatel l a graci l i s wh i ch coul d not be quant i fi ed s o onl y the i r

presence was noted The Phy1 um Nematoda was frequently present i n the

s ampl es and was occas i onal l y the domi nant taxa However because of

the i r smal l s i ze they were general l y cons i dered as me i ofauna and wi l l

not be i ncl uded i n th i s d i scuss i on

VI I I C 2 Compari son of Stat ion Commun i t i es

Three pai rs of stat i ons were s ampl ed The fi rst pa i r (Stat i ons 7

and 10 ) was cl osest to shore Stat i ons 9 and 12 were farthest from s hore

and Stat i ons 8 and 1 1 were i ntermed i ate Each pai r o f stat i ons i ncl uded

a control ( unharvested Stat i ons 10 1 1 1 2 ) and an experimental

( h arvested Stat i ons 7 8 9 ) l ocat i on Tabl e 8 2 summari zes the

commun i ty parameters of each stat i on for both sampl i ng events I ndex

val ues were not computed for stat i ons hav i ng f i ve or fewer taxa

Tabl e 8 3 presents data for each stat i on wi th total counts mean

per repl i cate and i nd i v i dual and cumul ati ve percentage compos i t i on

8-8

Control Transect

Duri ng both samp1 i ng per iods the greatest number of taxa and

h i g hest dens i t i es on the control transect were found at the i nshore

stat i on ( 10 ) and decreased with d i stance from shore At Stat i on 10 the

number of taxa i ncreased sl i ght l y from August to October ( from 18 to 2 1 )

01 i gochaeta was the domi nant taxa fol l owed by Ch i ronomi dae However

the basel i ne sampl i ng peri od exh ib i ted a sl ightly h i g her faunal dens i ty

than the postharvesti ng

The i ntermedi ate stat i on ( 1 1 ) had the second h i ghest number of

taxa and faunal dens i t i es duri ng both sampl i ng peri ods Unl i ke Stat i on

1 0 however both dens i t i es and speci es ri chness i ncreased substant i al l y

from August to October ( from 13 organi sms represented by 4 taxa to 44

organ i sms represented by 1 2 taxa ) 01 igochaetes predomi nated i n both

August and October

The farthest offshore control l ocat i on ( Stat i on 1 2 ) cons i stent l y

exh i b i ted both the l owest dens i t ies and number o f taxa i n the study area

Onl y two taxa were encountered duri ng each s ampl i ng peri od one i nsect

1 arva and one ol i gochaete i n August and 7 ostracods ( Crustacea ) and 6

gastropods i n October However the hi ghest dens i ty of the gastropod

P 1 anorbel l a duryi was found at thi s l ocat i on As d i scussed i n the

Commun i ty Metabol i sm sect i on Stat i on 12 exh i bi ted d i fferences in other

parameters due to a fi ne f1 0ccu1 ant sed i ment

Exper i mental Transect

The experi mental stati ons exh i b i ted the same trend as the control

transect a tendency toward decreased faunal dens i ty and speci es ri chness

with i ncreased d i stance from shore

As i n i ts counterpart ( Control Stat i on 10 ) Stat i on 7 had the

h i ghest number of taxa on i ts respect ive transect duri ng both sampl i ng

events The number of taxa i ncreased substanti a l l y at thi s l ocat i on from

10 i n August to 43 i n October In October th i s stat i on had the h i g hest

number of taxa and dens i ty of any stat i on at any t i me 01 i gochaetes

predomi nated at Stat i on 7 dur i ng both sampl i ng peri ods However wh i l e

c h i ronom ids were absent i n August they represented the second most

abundant and d i verse macro i nvertebrates group i n October In August the

8- 9

spec i es ri chness at control Stat i on 10 was greater ( 18 t axa) than at the

experi mental stat i on 7 ( 10 taxa ) The l ack of i nsect l arvae duri ng

August was respons i bl e for the l ow number of taxa For October however

there were 43 taxa col l ected at Stat i on 7 and only 2 1 at Stat i on 10

The i ntermed i ate stat i on on the experi mental transect ( Stat i on 8 )

refl ected the same trends as i ts correspond i ng control stat i on (Stat i on

1 1 ) the second h i ghest dens i ty and number of taxa on i ts transect duri ng

respect i ve sampl i ng peri ods As at Stat i on 1 1 few taxa were col l ected

i n August wi th a total absence of ch i ronomi d ( i nsect ) l arvae However

i n October the dens i ty and number of taxa i ncreased substant i al l y ( from 3

to 1 9 respect i vely ) pri mari l y d ue to the appearance of chi ronomid

l arvae and an i ncrease in the Nai d i dae (Ol i gochaeta ) popu l at i on I n

August Stati ons 8 and 1 1 had a comparabl e commun i ty structure Because

of the i ncreased number of chi ronomids and ol i gochaetes i n October the

faunal dens i ty at Stat i on 8 was much greater than at Stat i on 1 1 ( 24 1 vs

44 organ i sms )

Stat i on 9 the most offshore l ocat i on cons i stent l y had the l owest

number of taxa on the experi mental transect As wi th the other stati ons

on th i s transect the number of taxa and dens i t i es exh i bi ted a dramat i c

i ncrease from August to October The number of taxa i ncreased from onl y

2 spec i es of ol igochaetes i n August to a commun i ty of 10 taxa domi nated

by ch i ronomids i n October wh i l e th i s stati on s counterpart (Control

Stat i on 12 ) exh i bi ted only a sl i ght change between these samp l i ng events

The sudden occurrence of i nsect l arvae i n October was respons i bl e for the

substant i al i ncrease in faunal den s i ty

V I I I D SUMMARY

1 A total of 59 benth i c macroi nvertebrate taxa was co 1 1 ected

duri ng the basel i ne (August 24 1987 ) and postharvest i ng (October 1 6

1 987 ) s ampl i ng peri ods

2 Ch i ronomi dae ( I nsecta Di ptera) and Ol i gochaeta (Anne l i da )

were the most abundant and d i verse taxa throughout the study area

3 Gastropoda Crustacea and mi scel l aneous I nsecta general l y

compri sed the rema i n i ng taxa

8 - 10

4 Both the control and exper imental transects exh i b i ted a

decrease i n faunal dens i ty and spec i es ri chness wi th i ncreas i ng d i stance

from shore

5 The number of s pec i es and faunal dens i ty general l y i ncreased

at each stat i on between the basel i ne and postharvesti ng sampl i ng per i ods

6 Correspond i ng control and experi mental stat i ons exhi bi ted

s i mi l ar faunal dens i t i es and spec i es ri chness duri ng the basel i ne survey

7 Faunal dens i t i es and s pec i es ri chness were substant i al l y

greater a t the exper i mental stat i ons than a t the i r control counterpart

duri ng the postharvest i ng survey

8 An i ncrease i n the abundance and ri chness of the ch i ronomid

and ol i gochaete commun i t i es was pri mari l y respons i bl e for the changes i n

communi ty structure and abundance between the basel i ne and postharvest i ng

sampl i ng s

8- 1 1

LITERATURE C ITED

Al l en T F H S M Bartel l and J F Koonce 1977 Mul t i p l e stabl e configurat i ons i n ord i nati on of phytopl ankton commun i ty change rates Ecol ogy 58 1 076- 1084

Beak T W T C Gri ffi ng and A G Appl eby 1 973 Use of art i fi c i al substrate sampl ers to assess water pol l ut i on In B i ol og i cal methods for the assessment of water qual i ty Am Soc Test Mat ASTM STP 528 227 -241

B i rkett L and A D Mc Intyre 1971 Treatment and sort i ng of sampl es p 1 56- 168 In N A Hol me and A D Mc Intyre (eds ) Methods for the study of mari ne benthos IBP Handbook No 16 Bl ackwel l Sci ent i fi c Oxford

Bl oom S A S L Santos and J G F i el d 1977 A package of computer programs for benth i c commun i ty anal yses Bul l Mar Sci 27 ( 3 ) 577-580

Bri nkhurst R O and B G H Jami eson 1971 Aquat i c 0 1 i gochaetes of the worl d Uni v of Toronto Press 860 p

Chri st i e N D 1975 Rel ati onsh i p between sed i ment texture speci es ri chness and vol ume of sed i ment sampl ed by a grab Mar Bi ol 30 89-96

Dav i s F E and M L Marshal l 1975 Chemi cal and b i ol og i cal i nvest i gat i ons of Lake Okeechobee January 1973 -June 1974 Interi m Rept Tech Publ 75 - 1 Resource Pl an Dept So Fl a Water Mgmt D i stri ct West Pal m Beach FL

Ful l ner R W 1971 A compari son of macroi nvertebrates col l ected by basket and mod i fi ed mul t i pl e- pl ate sampl ers J Water Pol l Ctrl Fed 43 494 -499

Gl eason H A 1922 On the rel at i on between spec i es and area Ecol ogy 3 1 58- 162

Ho l me N A 1953 The bi omass of the bottom fauna i n the Engl i sh Channel off P l ymouth J Mar Bi ol Assoc ( U Kraquo 32 1 -49

Hol me N A and A D Mc Intyre 1984 Method s for the study of mar i ne benthos I BP Handbook 1 6 Bl ackwel l Sci Publ Oxford 387 p

Hurl bert S H 1 984 Pseudorepl i cat i on and the des i gn of ecol og i cal fi el d experi ments Ecol Monographs 54 187 - 2 1 1

Lewi s F G and A W Stoner 1981 An exami nat i on of methods for sampl i ng macrobenthos i n seagrass meadows Bul l Mar Sci 3 1 ( 1 ) 1 1 6 - 1 24

Mi l br n k G and T Wi ederhol m 1 973 Sampl i ng effi c i ency of four types of mud bottom sampl ers Oi kos 24 479-4

8- 12

Mor i s i ta M 1959 Measuri ng of i nterspec i fi c assoc i at i on and s i mi l ari ty between commun i t i es Mem Fac Sci Kyushu Un i v Ser e I ( Bi ol ) 3 ( 1 ) 65-80

Paterson G C and C H Fernando 1971 A compari son o f a s i mpl e corer and an Eckman grab for sampl i ng shal l ow-water benthos J F i sh Res Bd Can 28 365-368

Penna k R W 1953 Freshwater 1 nvertebrates o f the Un i ted States Ronal d Press Co NY p 497 -664

P i el ou E C 1975 Ecol og i cal D i vers i ty W i l ey Intersc 1 ence NY 1 65 p

Re i sh D J 1959 A d i scuss i on o f the i mportance of screen s i ze i n wash i ng quant1 tati ve mar1 ne bottom sampl es Ecol ogy 40 307-309

Resh V H and D M Rosenberg ( eds ) 1 984 The Ecol ogy of Aquat i c Insects Praeger Press 625 p

Saether O A 1980 The 1 n fl uence of eutroph i cati on on deep l ake bent h i c i nvertebrate commun i t i es Prog Water Tech 1 2 161 - 180

Saether O A 1 979 Chi ronom1 d communi t i es as water qual i ty i nd i cators Hol arct i c Ecol 2 65-74

Saether O A 1 975 Nearct 1 c ch 1 ronom ids as i nd i cators of l ake typol ogy Internat i onal e Verei negung fur Theoret i sche and Angewandte L i mno l og i e Verhandl ungen 1 9 3 127-3 133

Shannon C E and W Weaver 1 963 The mathemat i cal theory of communi cat 1 0n s Uni v of I l l Press Urban a 1 1 7 p

Thayer G W R B Wi l l i ams T J Pri ce and D R Col by 1 975 A l arge corer for quant i tat i vel y sampl i ng benthos i n shal l ow water L i mnol Oceanogr 20 ( 3 ) 474-481

Tsu i P T P and B W Breedl ove 1978 Use of the mul t i pl e -p l ate sampl er i n b i ol og i cal mon i tori ng of the aquat i c envi ronment Fl a Sc i 4 1 ( 2 ) 1 1 0 - 1 1 6

Tyl er P and S E Shackl ey 1978 Compari son effi c i ency o f the Day and Smi th-Mc i ntyre grabs Estuar Coast Mar Sci 6 439-445

Warwi c k W F 1980 Pasqua Lake southeastern Saskatchewan a prel i mi nary assessment of troph i c status and contami nati on based on the Ch i ronomi dae (D i ptera) p 255-267 In D A Murray ( ed ) Ch i ronom i dae Ecol ogy Systemat i cs Cytol ogy and Phys i ol ogy Oxford Press Pergamon 3 54 p

8- 13

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bull

bull

E X l IM r A L H A R V E S T T R A N S E C T D A Y S

1 4 R E L A T IV E A G F OF S T A T I O N S ( D A Y S P O S T H A R V E ST) -

1 3 ) ) gt- gt gt gt

bull 1 2 1 3 2 6 4 0 5 4 9 6 1 3 8 1 8 0 -

1 I I-1 0

I-9

r- )II-711 ) ) ) 8 8 2 1 3 5 4 9 9 1 1 3 3 1 7 5 bull I-7

I-6

I-5

I-4 ) ) gt- gt- gt- gt-I-3 4 1 7 3 1 4 5 8 7 1 2 9 1 7 1 bull -2

l-I r I I I I I I

2 4 6 1 2 1 8 2 4

P O S T H A R V E S T S A M P L ING

-J (1) - S A M P L I N G T I M E S C A L E ( W E E K S ) w W laquo (I) gt 0 laquo q-en I -

Figure 8-2 S chem a t i c of weed h a rvest tra nsect a n d a s s o c i a t e d b e n t h i c s a mp l i ng s t a t i o n s E i g ht s a mpl i n g e v e n t s a re I nd i c a t e d a s v e r t i c a l l i n e s on h o r i zont a l axi s R e l a t i v e p os t h a rve s t a g e of e a c h s t a t i o n Is pre s e n t e d bull

bull Ind i c a t e s H e s t e r - De nd y r e t r i e v a l S a mp l e rs woul d be p l a c e d I n f i e l d d ur ing t h e p r i o r s a mp l i ng eve n t

Table 8 1 Rlylcqenetic species listixg for all taxa encamtered in oollecticns for AlqUst ani october 1987 frail lake Okeedlclbee Hydrilla remval demonstratioo project site

SPEXIIS

0fIJl1RIA HYIRgtZ01

CDrdylgtpra lacustris Hydra sp

PIATYHEIMINIHES lURBEIlARIA

Dlgesia tigrina NEMAIODA

Nematoda ampW

llNOOIRXTA Urnatella gracilis

K)U1JSCA GAS1K)JOIl

AImioola ampW

Ancylidae ampW

Gyraulus parvus Hydrcbiidae sp A Laevipex fusca Planorbella dutyi

ANNELIDe OLIGOCHAErA NAIDID1ampE

Allonais pectinata Bratislavia unidentata nero diqitata nero furcata nero nivea Naididae sp elinruis Pristina leidyi Pristina lorgiseta Pristina prdxlscidea Stevenoniana trivanlrana

lUBIFICID1ampE lJnietennined sp (wo) Urrletennined sp (with) Aulodrilus piqueti Limncxlrilus hoffmeisteri

X

X

X X

X X X

X

X X X X

X

X

X X X X

X

X X X X

x

X

X

X X

X X X

X

X X

X

X X

x X

X

X

X

X X X X

X

X X X X

X

X X X

X

X X

Table 8 1 oontirrued

ARllroRgtDA ARAaINIIl Hydracarina sp CKJSTACFA

0SIRACX)(li ostracxXJa sp

ISOIODt cyathura polita

AMRIIIODt Hyalella azteca

Palaeoonetes paludosus Palaemonidae sp

COIUMOOIA

Q)lleniJola sp OIXNATA

IJhellulidae Bradwmesia sp

Libellulidae sp ltoenagrianidae COenagrianidae sp

HEHIIIlmA Q)rixidae

Q)rixidae sp TridlocXgtrixa sp

DIPlERA Olaoboridae

Olaeborus pmctipennis Tanypcldinae

Tanypcldinae spp CoelotanyJus spp

Tanmlif 5R) ORIH)CAI)IINAE

Orthocladiinae spp CriCXtotJs spp Thienemanniella spp

Olironaninae sp

x

x x

x

x x

x x

x

x x x

x

x x

x x x

x x x

x

x x x

x

x

Table 8 1 continued

SPECIES

CllilOllCDlS sp Dicroterrlipes sp nr Einfeldia spa Paradlironcrrus sp Iblypedilum spa

TANYlARSINAE Cladgtanytarsus sp Nimbocera spa Rheotanytarsus sp Tanytarsus spa

CERAIDKXnUDtE CeratqxxJonidae sp

TABANIDAE Tabanidae spa

lRIaDPlERA IEPIOCERIDAE

Peoetis sw PlERA

caenis sp

x

X

X

x

X

X X

X

x X X X X

X X X X

X

X

X

Table 8 2 SUDIDary of OmIImity Parameters for bIo sauplinJ events at thJee CXlIltrol statioos (7 8 9) anl thJee harvested statialS (10 11 U) for the stuly area

lOIAL Nl OF em SffANNCN sm TAXA IND rrJ2 -wEAVER SIMPSCN GlNI

08-24-87 7 10 147 4047 l o ll 0 48 1 80 504 496 08-24-87 8 3 5 138 NA NA NA NA NA 08-24-87 9 2 6 165 NA NA NA NA NA 08-24-87 10 18 196 5396 1 97 0 68 3 22 204 796 08-24-87 11 5 14 385 NA NA NA NA NA 08-24-87 U 2 2 55 NA NA NA NA NA

10-16-87 7 44 5U 14097 2 89 0 76 6 89 087 913 10-16-87 8 19 241 6635 129 0 44 3 28 433 567 10-16-87 9 10 139 3827 1 11 0 48 1 82 537 463 10-16-87 10 22 199 5479 2 02 0 65 3 97 247 753 10-16-87 11 U 44 U11 2 00 0 80 2 91 170 830 10-16-87 U 2 13 358 NA NA NA NA NA

Ta 8 -- Ber d fOI h i iOl

- r t - anl - cbE - 987 lplj eve

station 7 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 9 12 7 14 15 13 17 15 102 U 75 69 39 69 39 LIMNOpoundIUI1JS IDFFMEISTERI 2 1 6 1 3 4 1 3 21 2 63 14 29 8367 AIJID[JUI1JS PIQJErI 1 0 3 0 2 0 1 1 8 1 00 544 89 U DER) DIGITATA 1 1 2 0 0 0 2 0 6 75 4 08 93 20 lUBIFICIDAE Dff 0 0 0 0 0 0 1 3 4 50 2 72 95 92 COlUMOOIA SP 0 0 0 0 0 0 0 2 2 25 1 36 97 28 PIANORBELIA IlJRYI 0 0 1 0 0 0 0 0 1 13 68 97 96 URNATEI1A GRACILIS 0 0 0 0 0 0 0 1 1 13 68 98 64 DER) FURCATA 0 0 1 0 0 0 0 0 1 13 68 99 32 BRATSIAVIA UNIIDllATA 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 13 14 20 15 20 17 22 26 147

Station 8 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHAOBRJS RlNClIPEHlIS 0 1 0 0 1 0 0 0 2 25 4000 4000 DERO DIGITATA 0 0 0 0 0 2 0 0 2 25 66 67 66 67 AItLIIAIS 0 0 0 0 0 0 0 1 1 13 100 00 100 00

Totals -gt 0 1 0 0 1 2 0 1 5

Station 9 Auj 24 1987 Replicate Oml

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

lUBIFICIDAE Dff WClTI 0 0 0 4 0 0 1 0 5 63 83 33 83 33 PRISTINA IEIDY 0 0 1 0 0 0 0 0 1 13 16 67 100 00

Totals -gt 0 0 1 4 0 0 1 0 6

Ta- - 8 -ont L_ - 3d

station 10 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

NEHAlOIlZ SP 0 71 0 0 1 0 3 0 75 9 38 38 27 3827 lUBIFICIDaE IMM Wrur 3 9 5 0 1 6 1 7 32 4 00 16 33 54 59 DERO DIGITATA 1 6 3 2 3 2 3 4 24 3 00 12 24 6684 LlMN()[JUllJS IDFFMEISTERI 2 8 4 2 0 0 0 6 22 2 75 11 22 78 06 AUIDtRIllJS PI(JJErI 0 3 2 2 0 0 3 2 12 1 50 6 12 84 18 BRATSIAVIA UNIDENrATA 0 3 0 0 5 1 0 0 9 1 13 4 59 8878 SP 0 0 4 0 0 0 1 1 6 75 3 06 91 84 IAEVAmX FUSWS 0 2 0 0 2 0 0 0 4 50 2 04 93 88 PIANORBEUA WRY 0 0 0 0 0 2 0 0 2 25 102 94 90 NAIDIDtE SP 0 0 0 0 0 0 2 0 2 25 1 02 95 92 LIBELWLIDtE Spp 0 1 0 0 0 0 0 0 1 13 51 96 43 BRAltlIYMESIA SP 0 0 1 0 0 0 0 0 1 13 51 96 94 OOENAGRIOOIDAE SP 0 0 0 1 0 0 0 0 1 13 51 97 45 URNATELIA GRACILIS 0 0 0 0 1 0 0 0 1 13 51 97 96 lUBIFICIDaE MM 0 1 0 0 0 0 0 0 1 13 51 9847 DERO FURCATA 0 1 0 0 0 0 0 0 1 13 51 98 98 OOEWlANYlUS SP 0 0 1 0 0 0 0 0 1 13 51 99 49 NR EINFEIDIA SP 0 0 0 0 1 0 0 0 1 13 51 100 00

Totals -gt 6 105 20 7 14 11 13 20 196

station 11 Aug 24 1987 Replicate Cllm

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

DERO DIGrrATA 4 3 0 0 0 0 0 0 7 88 50 00 so 00 NEHAIDpoundllIL SP 0 0 0 0 1 0 2 0 3 38 21 43 7143 CHAOooms RJNCrIPmNIS 0 0 0 0 0 1 1 0 2 25 14 29 85 71 BRATISIAVIA UNIDENrATA 0 0 0 0 0 0 1 0 1 13 7 14 92 86 OOEWlANYlUS SP 0 1 0 0 0 0 0 0 1 13 7 14 10000

Totals -gt 4 4 0 0 1 1 4 0 14

station 12 Aug 24 1987 Replicate Cllm

TaXa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

OECElIS SP 0 0 1 0 0 0 0 0 1 13 50 00 50 00 AUIDtRIllJS PI(JJErI 0 0 0 0 0 1 0 0 1 13 50 00 100 00

Totals -gt 0 0 1 0 0 1 0 0 2

Ta 8 Dnt d

station 7 oct 16 1987 Replicate OlIn

Taxa 1 2 3 4 5 6 7 8 Total Mean PeI1ent Percent

NAIS ELINGUIS 2 51 22 2 0 13 1 6 97 12 13 18 95 18 95 lUBIFICIDAE IMM Wrur 7 14 17 0 12 4 8 5 67 8 38 13 09 32 03 IJID DIGITATA 12 16 10 12 0 11 1 5 67 8 38 13 09 45 12 oomAOOIlt SP 0 12 6 4 2 2 10 0 36 4 50 7 03 52 15 LIMNOIlUIlJS HlFFMEISTERI 1 5 14 1 1 4 0 0 26 3 25 5 08 57 23 mISTINA IJHISRrA 0 17 1 2 0 3 0 0 23 2 88 4 49 61 72 AMNICOIA SP 2 7 1 1 1 6 0 2 20 2 50 3 91 65 63 CHIRaDIJS SP 3 1 6 2 2 3 1 0 18 2 25 3 52 69 14 JHlmMANNIEI1 SP 0 12 3 0 0 3 0 0 18 2 25 3 52 72 66 BRATISIAVIA tJNIDmlATA 1 2 2 5 1 1 1 5 18 2 25 3 52 76 17 SP 4 0 3 5 3 0 0 2 17 2 13 3 32 79 49 OOLYPEDIIIM SP 3 0 1 4 1 1 0 1 11 1 38 2 15 81 64 mISTINA mgtB6CIDFA 0 5 1 2 0 0 0 3 11 1 38 2 15 83 79 P SP 0 6 4 0 0 0 0 0 10 1 25 1 95 85 74 DICHJIElIDlPES SP 0 6 0 0 0 0 0 0 6 75 1 17 86 91 NIMBXERA SP 0 1 2 1 1 0 0 1 6 75 1 17 88 09 STEllJANSCIUA lRlVANIIWUt 0 0 0 3 0 1 1 1 6 75 1 17 89 26 HYAUEIA AZlEXA 0 1 1 1 0 2 0 0 5 63 98 9023 IrllEA SP 0 1 1 1 0 0 0 1 4 50 78 91 02 NR EINFEIDIA SP 1 0 0 0 0 0 1 2 4 50 78 9180 RHEXJrANYTARSUS SP 0 1 0 1 1 1 0 0 4 50 78 92 58 auroroRJS SP 0 2 1 0 0 1 0 0 4 50 78 93 36 AlJIOIIUIIE PIGJErI 2 0 0 1 0 0 0 1 4 50 78 94 14 lUBIFICIIlfE IMM 0 0 1 1 1 1 0 0 4 50 78 94 92 URNATELIA GRACILIS 1 0 0 0 0 0 1 1 3 38 59 9551 COEIDrANYIUS SP 1 0 0 0 0 0 0 2 3 38 59 96 09 NEMAIODA SP 0 1 0 0 0 0 0 1 2 25 39 96 48 SP 0 0 0 0 1 0 0 1 2 25 39 96 88 ANCYJLI1llE SP 1 0 0 0 0 0 0 0 1 13 20 97 07 HilRgtBIID7E SP A 0 1 0 0 0 0 0 0 1 13 20 97 27 ruESIA TIGRINA 0 0 1 0 0 0 0 0 1 13 20 97 46 PIANORBEIlA IlJRYI 0 0 0 1 0 0 0 0 1 13 2 0 97 66 D7E SP 0 0 0 1 0 0 0 0 1 13 20 97 85 OORDYIDRIgtRA IACDSlRIS 0 0 0 0 0 0 0 1 1 13 20 98 05 OECElIS SP 0 0 0 0 1 0 0 0 1 13 20 98 24 JlU(B)())())RJXA SP 0 0 0 0 0 1 0 0 1 13 20 98 44 BRACHYMESIA SP 0 0 0 0 0 1 0 0 1 13 20 98 63 ltHIRaDfIDIE SP 0 1 0 0 0 0 0 0 1 13 20 98 83 ORIBXlADIlNAE SP 0 1 0 0 0 0 0 0 1 13 20 99 02 TANYRJS SP 0 1 0 0 0 0 0 0 1 13 20 99 22 OIAOBlRJS RJNCr1PlHaS 0 0 1 0 0 0 0 0 1 13 20 99 41

TaO bull 8 - cor Jed

statim 7 oct 16 1987 continued Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

CHIBHlfiNAE SP (RJPAE) 0 0 0 0 0 0 0 1 1 13 20 99 61 JER) JiURCAI7 0 0 0 1 0 0 0 0 1 13 20 99 80 JER) NIVEA 0 0 1 0 0 0 0 0 1 13 20 100 00

Totals -gt 41 165 100 52 28 59 25 42 512

statim 8 oct 16 1987 Replicate ODD

Taxa 1 2 3 4 5 6 7 8 Total Mean Percent Percent

0IIl0DU3 SP 4 5 17 48 17 31 19 8 149 18 63 6183 61 83 JER) mGlTAl1 1 3 0 33 4 4 4 4 53 6 63 2199 83 82 SP 0 0 1 8 2 2 3 0 16 2 00 6 64 9046 TANYIUS SP 0 4 0 0 0 0 0 0 4 50 1 66 92 12 NIM8XERA SP 0 0 0 1 0 0 1 1 3 38 1 24 93 36 PIARlRBELIA IlJRYI 0 2 0 0 0 0 0 0 2 25 83 94 19 NAIS ELINGUIS 0 0 0 2 0 0 0 0 2 25 83 95 02 NEWaODA SP 1 0 0 0 0 0 0 0 1 13 41 95 44 ANCYlLtDAE SP 0 1 0 0 0 0 0 0 1 13 41 95 85 GYRAUIIJS PAIME 0 1 0 0 0 0 0 0 1 13 41 96 27 CyenMHlRA lOLITA 0 0 0 1 0 0 0 0 1 13 41 9668 HYAIlEIA AZTErA 0 0 0 1 0 0 0 0 1 13 41 97 10 IMEACARINA SP 0 0 0 0 0 0 1 0 1 13 41 97 51 IJMNCOUIDS l)FFMEISllU 0 0 0 0 0 0 1 0 1 13 41 97 93 lUBIFICIIl7E IMM Wrur 0 0 1 0 0 0 0 0 1 13 41 98 34 AIJlDIRII1JS PlGUE1I 0 0 0 0 0 0 0 1 1 13 41 98 76 TANYIODlINAE SP 1 0 0 0 0 0 0 0 1 13 41 99 17 CERAIO SP 0 0 0 1 0 0 0 0 1 13 41 99 59 TANYTARSUS SP 0 0 0 1 0 0 0 0 1 13 41 100 00

Totals -gt 7 16 19 96 23 37 29 14 241

Tal 8 3 can led

statim 9 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent Paloent

CHrRHHlS SP 4 20 18 8 18 13 12 15 108 13 50 73 97 73 97 NDWlODi SP 0 4 1 1 0 1 1 1 9 1 13 616 80 14 IER) DIGrrATA 0 3 0 0 2 1 1 1 8 1 00 548 85 62 NIMBJCERA SP 0 3 0 0 0 4 0 0 7 88 4 79 9041 PARAaIllUICHS SP 0 3 0 0 2 0 0 0 5 63 3 42 93 84 CIAJOrANrr SP 0 0 1 0 3 0 0 0 4 50 2 74 96 58 anRHJIINAE SP 0 0 0 0 1 0 1 0 2 25 1 37 97 95 CAENIS SP 1 0 0 0 0 0 0 0 1 13 68 98 63 PIAtIlRBEUA IlJRYI 0 0 0 0 0 1 0 0 1 13 68 99 32 NR EINFEIDIA SP 0 0 0 0 0 0 0 1 1 13 68 100 00

Totals -gt 5 33 20 9 26 20 15 18 146

statim 10 oct 16 1987 Replicate OD

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Paloent PeIcent

NDWlODi SP 3 3 4 3 0 2 49 28 92 1150 4623 4623 IER) DIGrrATA 2 3 3 1 6 7 8 0 30 3 75 1508 61 31 CIAJOrANrr SP 1 0 1 0 1 9 3 0 15 1 88 7 54 6884 AIJaUUS 0 0 1 0 0 6 5 0 12 1 50 6 03 74 87 00TRACXgtIlt SP 0 1 0 0 0 0 0 6 7 88 3 52 78 39 lUBIFICI DM WClJI 0 5 1 0 0 0 1 0 7 88 3 52 8191 mISTINA UUISFrA 0 1 1 0 0 2 1 0 5 63 2 51 84 42 HYAIlEIA 0 0 1 0 0 0 0 3 4 50 2 01 8643 BRATSIAVIA tJNIIlENmTA 0 0 1 1 0 2 0 0 4 50 2 01 88 44 NIMBXERA SP 0 0 1 1 0 2 0 0 4 50 2 01 9045 CXlRDYIOHIlRA IAaJSDUS 0 1 0 0 0 1 1 0 3 38 1 51 91 96 PIAlIlRBEIlA IlJRYI 0 0 0 1 0 2 0 0 3 38 1 51 93 47 LIMNOlIUllJS JDFFMEISTERI 0 1 0 0 1 0 0 0 2 25 1 01 94 47 AIJIDIlllIm PIGOErI 0 1 0 0 0 1 0 0 2 25 1 01 95 48 CHrRHHlS SP 0 0 0 1 1 0 0 0 2 25 1 01 96 48 IAEVAPEX FUSaJS 1 0 0 0 0 0 0 0 1 13 50 9698 CXgtRIXIDtE SP 0 0 0 0 1 0 0 0 1 13 50 97 49 mISTINA FROBlSEIIEA 0 0 0 0 0 0 1 0 1 13 50 97 99 NAIS EIllDJIS 0 0 0 0 1 0 0 0 1 13 50 9849 TA8ANIDtE SP 0 1 0 0 0 0 0 0 1 13 50 98 99 auoororus SP 0 0 0 0 0 0 1 0 1 13 50 99 50 PARAClIIRHHJS SP 0 0 0 0 0 0 1 0 1 ll 50 100 00

lbtals -gt 7 17 14 8 11 34 71 37 199

Til 8 crd d

station 11 oct 16 1987 Replicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

DER) DIGITATA 3 0 2 3 4 1 1 0 14 175 3182 31 82 NEMAlOJl SP 0 0 2 7 0 1 0 1 11 1 38 25 00 56 82 C8IRA(X)[) SP 3 0 0 1 0 0 0 0 4 50 909 65 91 atIRNHlS SP 0 0 1 0 3 0 0 0 4 50 909 75 00 PAIAEHImlAE SP 0 0 0 0 0 0 0 2 2 25 4 55 79 55 PRISTINA 0 0 0 2 0 0 0 0 2 2 5 4 55 94 09 IJMOOllUIlS Jl)FFMEISlmI 0 0 0 0 1 0 1 0 2 25 4 55 88 64 PIANORBEUA IlJRYI 0 0 1 0 0 0 0 0 1 13 2 27 9091 GYRNJIIJS PARVUS 0 0 1 0 0 0 0 0 1 13 2 27 93 18 PAIAEHImrES PAIIJJXl9US 0 0 0 0 1 0 0 0 1 13 2 27 9545 lUBIFICIDAE DII WaJl 0 0 0 0 0 0 1 0 1 13 2 27 97 73 PARAClIIlODIJS SP 0 1 0 0 0 0 0 0 1 13 2 27 100 00

Totals -gt 6 1 7 13 9 2 3 3 44

station 12 oct 16 1987 Rsplicate Om

Taxa 1 2 3 4 5 6 7 8 lbtal Mean Peloent PeIcent

C8IRA(X)[) SP 2 2 0 3 0 0 0 0 7 88 53 85 53 85 PIANORBEUA IlJRYI 0 5 0 1 0 0 0 0 6 75 46 15 100 00

Totals -gt 2 7 0 4 0 0 0 0 13

IX LARVALJUVENILE F I SH TASK

IXA INTRODUCTION

The i mportance of aquat i c macrophytes i n enhanci ng f i sh

popul at i ons by prov i d i ng protect i on and forage for smal l fi shes has been

d i scussed by many authors ( Lantz et al 1 965 Barnett et al 1 974

Rozas and Odum 1987a 1 987b ) However dense Hydri l l a i n festat i on has

been reported to have del eteri ous effects on gamefi sh popul at i on s by

reduc i ng gamefi sh forage ( Lantz et al 1 965 Col l e et al 1 980 and

Macci na 1 985 ) and yet i mpacts on fi sh popul at i ons have al so been

associ ated wi th the removal of nui sance aquat i c weeds ( Hal l er Sh i reman

and Durant 1 980 and Mi kol 1985 ) Luxuri ant stands of vegetat i on al so

ser i ous ly hamper the fi el d bi ol og i sts attempts to quanti fy fi sheri es

resources Therefore the methodol og i es and the s ampl i ng l ocati ons must

address the compl i cat i ons of dense aquati c macrophyte growth

Th i s task has been speci fi cal l y des igned to exam i ne the effects of

mechan i cal h arvest i ng of Hydr1 l l a i n Lake Okeechobee Top ics of

i nvest igat i on i ncl ude

o removal of eggs and l arvae entrapped i n the weed harvest

operat i on

o exami nat ion of the Redge effectR ( i ncrease i n area of edge of weed

I mats ) on d i stri but i on of l arval fi she s

o rel ati ve abundance of l arvae i n und i sturbed weed areas and open

l ake weed edge waters as compared wi th new weed edge created by

harvest i ng and open water over harvested weed and to open 1 ake

waters beyond the weed fri nge

IX B METHODS ANP MATERIALS

IX B l Sampl i ng Strategy

Sampl es were taken us i ng three methods Phy s i cal removal of egg s

and 1 arvae v i a removal o f harvested Hydri 1 l a was quanti fi ed by the

exami nat i on of sampl es of the harvester s l oad col l ected as i t was

9 - 1

transferred from the transport vessel to trai l er The eggs of those

organi sms wh i ch ut i l i ze Hydrjl l a as a sUbstratum for egg - l ay i ng or as

physi cal protect i on were expected to be represented in these sampl es

Fi ve stati ons were sampl ed to address the abundances of l arval

fi sh and the i r utl l i zat i on of var i ous habi tat s wi th i n the study s i te

Both nocturnal l i ght traps and nocturnal pl ankton tows were empl oyed the

sel ect i on depend i ng upon weed dens i ty Surface pl an kton tows were used

pri mari l y at open water s i tes li ght traps at both surface and bottom

were used to address gradi ents wi th i n the water col umn as wel l as

d i fferences between harvested and unharvested areas li ght traps l ocated

at the bottom were expected to y i el d the greatest catch s i nce most o f

t h e i mportant sport and commerci al fi shes - -Centrarchi dae ( bass )

Perc i dae ( perch ) Ictal uridae ( catfi shes ) and Cypri n i dae (mi nnows

sh i nners carp ) - - have demersal early l i fe stages ( Hardy 1978 Jones

Mart i n and Hardy 1 978)

I X B2 Station Sel ecti on

For the l i ght trap and pl ankton tows fi ve stat i ons representi ng

five d i fferent habi tats were exami ned Control s i tes cons i sted of a

vegetated area a natural weed -edge- habi tat and a natural open water

habi tat The northern hal f of Transect 4 ( 1 52 4 x 545 5m) was the

experi mental transect for l i ght trap and pl ankton tow sampl es ( F i g ure

9 1 ) Two stati on types were sampl ed wi th i n the experimental transect- shy

a n open waterover harvested area and a newl y harvested edge ( F i gures

9 2 and 9 3 ) Stat i on l ocati ons were as fol l ows

Stat i on 1 ( vegetated ) area heav i ly i nfested by Hydri 1] a just

outsi de Transect 4

Stat i on 2 ( harvested ) recentl y harvested area i n Transect 4

Stat i on 3 ( harvested edge ) recently harvested edge of Transect 4

Stati on 4 (natural edge ) edge between an unharvested area and the open

water

Stat i on 5 ( open water ) open water area just outs i de Transect 4

Weed harvest sampl es were col l ected on the fi rst 454 5m ( 1 500 ft) of

Transect 3 ( F i gure 9 1 )

9 - 2

IX B 3 Sampl i ngs

The above descri bed stat i ons were sampl ed on September 23 and 30

1 987 and January 5 1988 Duri ng each quarter four repl cate pl ankton

tows and bottom l i ght trap sampl es were taken at Stat i ons 2 - 5 Both

methods prov ided i n formati on on the d i stri but i on of l arvae and juveni l es

wi th i n the water col umn The pl ankton net served pri mar i l y as a surface

col l ect i ng dev i ce wh i l e the l i ght traps served as a bottom col l ect i ng

dev i ce Pl ankton tows were not poss i bl e at Stat i on 1 therefore l i ght

trap sampl es were taken at both surface and bottom A total of 16

pl ankton tows ( 4 repl icates 4 stat i ons ) and 1 5 l i ght traps ( bottom - 3

rep l i cates 5 stat i ons ) were co 1 1 ected on September 23 1 987 8 l ght

trap sampl es ( 4 s urface and 4 bottom repl i cates 1 stat i on ) were

co 1 1 ected on September 3 0 1987 and 1 6 pl ankton tows ( 4 rep 1 i cates 4

stat i ons ) and 24 l i ght traps ( 20 bottom 4 surface ) sampl es ( 4

repl i cates 5 stat i ons ) were col l ected o n January 5 1 988 Duri ng

Quarter I a combi nati on of both towed and trapped sampl es resul ted i n a

total of 39 sampl es col l ected and anal yzed whi l e Quarter I I col l ect i ons

resul ted i n 40 sampl es col l ected and anal yzed

Three 1 14 l i ter ( 30 gal ) weed harvest sampl es were col l ected

preserved and processed duri ng each quarter L i ght trap and pl ankton

tows were co 1 1 ected from ca 1 hr after sunset to ca 1 hr before

s unri se Weed harvest sampl es were col l ected from the harvester at 1400

hrs ( 2 00 PM)

Weather cond i t i ons were more favorabl e duri ng the Quarter I

sampl i ng s than duri ng Quarter I I sampl i ngs In September a i r temperature

was approx i matel y 270C (800F ) water temperature was 280C (820F ) the

wi nd was l ess than 5 knots and the l ake was cal m In January the a i r

temperature was approx i mately 130C ( 55 40F ) water temperatu re was 160C

( 60 80F ) w i nd was approx imatel y 1 5 - 20 knots and the wave height on the

l ake was approx i mate ly 0 3m ( 1 0 ft )

9 - 3

Harvested Hvdri 1 1 a

For each s ampl i ng of harvested Hvdri 1 1 a three 1 14 l i ter (30 gal )

a l i quots of t ightly packed pl ant materi al were col l ected from several

l ocat i ons wi th i n the harvester l oad Drai ned wet we i ghts were recorded

to u se i n conjunct i on wi th bi omass data The rel at i ve appearance of each

al i quot was descri bed ( tops stems etc ) and the presence of other

vegetat i on was noted

Samp1 es were then careful ly ri nsed to free entra i ned organi sms or

l oose ly attached materi a l and the col l ected wash water was s i eved

through three succe ss i vely smal l er mesh s i zes The resul t i ng three

fract i ons per s ampl e consti tuted those organ i sms and materi al s l arger

than l Z 7nm ( lZ- ) 4 _ (316- ) and 0 363mm ( 1 100- ) Al l s ampl es

were preserved in 10 buffered formal i n and transported to the l aboratory

for further process i ng

pl ankton Tows

Open water and mi 1 d 1 y weeded areas were s ampl ed wi th two 30cm

mouth d i ameter 363u mesh con i cal s i de-mounted con i cal p1 ankton nets

( F i gure 9 4 ) Cal i brated General Oceani cs D ig i tal f1 0wmeters were

pos i t i oned i n the midd1 e of each net aperture to measure the s amp1 ed

water vol ume Four repl i cates were taken at each stat i o n each

represent i ng a 3 mi nute tow A thi rd fl owmeter was al so mounted on the

s i de of the boat to mon i tor net cl ogg i ng by prov i d i ng a measure of the

i deal water vol ume samp1 ed Al l samp1 es were co1 1 ected at n i ght to

mi n imi ze avoi dance of the gear by l arval fi sh

Light Traps

HeaVi l y weeded areas were sampl ed u s i ng rectangul ar (40 6cm x

30 Scm x I S 9cm) p1 exi g1 ass l i ght traps ( F igure 9 5 ) The l i ght traps

were fi tted wi th Tekna- L i te Z underwater fl ashl i ghts and SOSu mesh

sl eeves l ead i ng to quart s ampl i ng j ars L i ght traps were fi shed for

approx i mately one hour Both surface and bottom s ampl es were col l ected

at Stat i on 1 Al l other l i ght trap sampl es were taken at the bottom

Temperature ( 0C ) pH and conducti vi ty (rmnhos ) were measured at

the surface of stat i ons where nets and traps were depl oyed us i ng a

9-4

cal i bra ted Martek Mark 7 meter Oi sso 1 ved oxygen (mg1 ) was measured

us i ng a YS I Model 57 oxygen meter Th i s method i n conjunct i on wi th the

pl ankton tows prov i ded i nformati on to assess both spat i al and

experimental l y i nduced vari at i on i n i chthyop1 ankton fauna

IX B Sampl e Anal ys i s

For each sampl i ng method used the catch per un i t effort ( CPUE ) and

spec i es compos i t i on of the col l ected l arvae per habi tat for each quarter

was reported

Catch per uni t effort for each methodol ogy used was reported as

fol l ows

Harvested Hydri l 1 a the number o f organ i sms caught per 100 kg of

Hydri l l a removed

L i ght traps

Pl ankton tows

the number of organ i sms caught per trap- hour fi shed

the number of organ i sms caught per 100m3 of water

For each pl ankton net samp 1 1 ng event the number of organ i sms co 1 1 ected

was cal cu l ated to a standard number per 100m3 of water Because of

rel at i ve un i formi ty of depth i n th i s port i on of the l ake l arval

dens i t i es (no100m3 ) were converted to no hectare of l ake surface The

depths used i n convert i ng no 100m3 to no hectare were l Om i n the

September sampl i ng and 2 0m i n the January sampl i ngs

Analyses of vari ance (ANOYA S ) were cal cul ated us i ng the CPUE s to

determi ne s i mi l ar i t i es or d i fferences i n s pec i es d i versi ty between

habi tats for each methodol ogy (Tabl e 9 1 ) Student t - tests anal yses

cal cul ated from mean number of fi sh per repl i cate were used to determi ne

s i mi l ar i t i es or d i fferences i n rel ati ve abundance of fi sh between

stat i on s for each methodol ogy (Tabl e 9 2 )

IX C RESULTS

Many terms may be used to descri be the 1 arval stages of fi sh

(Snyder 1 983 ) In thi s study the term pro1 arvae deS i gnates those fi sh

wh i c h have just hatched and sti l l retai n a yol k sac The term

postl arvae i s used for al l stages of l arval devel opment fol l owi ng yol k

9-5

sac absorpt i on yet pri or to attai nment of ful l adul t fi n compl ement

- Larvae - i s used i n referri ng col l ect i vel y to both pro1 arvae and

post1 arvae The term -juveni l e- refers to those organi sms wh i ch have the

ful l adul t fi n compl ement but have not yet attai ned sexual maturi ty

Di s sol ved oxygen (DO) temperature pH and conducti v i ty were

measured at the surface at each s i te (Tabl e 9 3 ) Water temperature and

d i ssol ved oxygen were s i mi l ar at al l stat i ons for each sampl i ng date but

were qui te d i fferent between September and January The average water

temperature ranged from 28 10C i n September to 1 6 90C i n January

Average DO ranged from 4 8 mg1 i n September t o 8 4 mg1 i n January

A total of 996 fi sh representi ng 19 speci es was col l ected at Lake

Okeechobee duri ng September and January combi ned Spec i es l i sts for each

sampl i ng date and for total sampl i ng efforts are presented i n Tabl es 9 4

9 5 and 9 6 respect i ve l y Heterandria formosa ( l east ki l l i fi sh ) was

the domi nant spec i es col l ected accounti ng for 41 of the total catch

Lepomis sp ( sunfi s h ) and Gambusi a affi ni s (mosqu i tofi s h ) accounted for

13 8 and 1 2 8 respect i vel y of the total catch Of t he 996 fi sh

col l ected 0 2 were pro1 arvae 46 5 were post1 arvae and 53 3 were

j uveni l es Gambusi a affi n is and Heterandri a formosa were the onl y

speC i es col l ected as adul ts ( 0 3) L i vebearers (H formosa affi n i s

and Poecll i a 1 at i pi nna) al ong wi th ki l l i fi sh (Jordanell a f1 0ri dae and

lucan i a parva) accounted for 55 of the fi sh co1 1 ected The percent

compos i t i on of 1 i vebearers and ki l l i fi sh for each stat i on i s presented i n

Fi gure 9 6 Centrarch i d eggs represented 77 of the 5 932 eggs

col l ected

Catch per un i t effort (CPUE) of each spec i es per stat i on per

s amp1 i ng date for the p1 ankton tows 1 i ght traps and weed harvest are

presented i n Tabl es 9 7 9 8 and 9 9 respect i vel y A majori ty of the

uni dent i fi ed fi sh reported appeared to be cypri n i ds (mi nnows and carp )

F i nal veri fi cat i ons are be i ng cond ucted by Dr W R Courteney ( Fl ori da

Atl anti c Uni vers i ty) Mr 1 S i mon ( Large Ri vers Larval Research

Stat i on ) and Mr D E Snyder ( Larval F i sh Laboratory) and are not yet

ava i l abl e

I n the pl ankton tows for al l stat i ons combi ned 1 2 of the 19

reported spec i es were col l ected of wh i ch 97 5 were post1 arvae Leoomi s

9-6

spp ( sunfi sh ) was the domi nant spec i e s mean abund ance was 465 8

i nd i v i dual shectare i n September and 2 262 i nd i v i dual shectare i n

January Wh i l e Leoomi s spp was most abundant at the open water stat i o n

i t was al so abundant a t the harvested edge and natural edge stat i ons

The smal l er spec i es such as poeci l 1 id s ( l i vebearers ) cypr i nodonti ds

( ki l l i fi sh ) and the cypri n i d s were most abundant at the harvested

stat i on The l arger i nd i vi dual s of these spec i e s were al so col l ected i n

l ower numbers at the harvested edge and natural edge stati ons The

harvested area exh i bi ted the greatest speci e s d i versi ty ( 8 spec i e s ) and

the second h i ghest abundance ( 2 656 i nd i v idual shectare ) i n September

I n January fi sh were most abundant at the open water stat ion ( 5 918

i nd i v i d ual shectare ) but th i s stat i on al so exh i bi ted the l owest speci es

d i vers i ty ( 2 speci es ) Total abundance at th i s stat i on was affected by

the spawn i ng of Lepomis spp whi ch accounted for 4 608 of the 5 918

i nd i v i dual shectare predomi nantly i n the l arval stages Fi sh col l ected

by the pl ankton net method accounted for 28 4 of the total catch

Wi th respect to the eggs col l ected i n the pl ankton tows

centrarch ids were the domi nant speci es (97 eggshectare) The number of

egg s reported i n the pl ankton tows represented only 0 05 of al l eggs

co l l ected

The l i ght traps Igtredomi nantl y attracted juven i l es ( 63 1)

represent i ng 1 5 of the 19 speci es col l ected Heterandri a formosa was the

domi nant spec i es (mean bull 4 5 fi shhour) and Gambusi a affi n i s was the

second most abundant spec i es ( mean bull 1 6 fi shhour) The h i ghest CPUE

for both of these spec i es occurred at the vegetated stat i o n ( 18 03

fi shhour for Heterandri a formosa and 7 03 fi shhour for Gambusi a

affi n i s ) The vegetated and the harvested stat i on s demonstrated the

h i g hest spec i es ri chness each with 8 d i fferent speci es The l arger

spec i es atheri n i ds ( s i l vers ides ) and gobi es were not general l y confi ned

to one habi tat They were present i n the open water and edge habi tats

a s wel l a s the harvested stati on Spec i es of the fami l y Perc idae ( perch)

appeared onl y i n the 1 i g ht trap sampl es at the harvested and harvested

edge stat i on s Few f i sh eggs were col l ected i n l i ght traps

F i sh col l ected i n the weed harvest sampl es accounted for 50 3 of

the total f i sh catch and represented 10 of the 1 9 spec i es reported

9 - 7

Heterandri a formosa and i affin i s were the two predomi nant s peci es

numberi ng 492 3 fi shlOa kg of weed and 1 51 6 fi shlOa kg respect i vel y

O f the total number o f f1 sh col l ected i n the weed harvest 9 9 were

col l ected i n September and 78 of those were j uveni l es W i th the

excepti on of one ki l l i fi sh the 1 i vebearers were the onl y spec i es

col l ected as juven i l es Lepomi s spp was col l ected i n very l ow numbers

and onl y i n the post1 arva1 stage

Eggs col l ected i n the weed harvest sampl e s represented 99 of al l

eggs col l ected Centrarch id eggs wh i ch were col l ected onl y i n January

were the domi nant spec i es of eggs wi th an average of 8 899 eggsl Oa kg

Hydri 1 1 a sampl es exh i b i ted two markedly d i fferent appearance One type

was very 1 eafy wi th short i nternodu1 e spaces the other was l ong and

stri ngy wi th fewer l eaves and l onger i nternodu1 e d i stances Repl i cate

3 of the September samp 1 i ng and rep 1 i cates 2 and 3 of the January

samp l i ng cons 1 sted mai nl y of the l ong stri ngy Hydrill a A greater

number of eggs were col l ected i n the l eafi er Hydri 1 1 a

IX D DISCUSSION

IXD l Effects of Weather

The January sampl i ng resul ted i n l ow speci es ri chness and

abundance A total of 8 f1 sh representi ng 4 speci es were co 1 1 ected i n

the l i ght trap and weed harvest sampl es combi ned These l ow numbers are

most evident i n the January l i ght trap data presented i n Tabl e 9 8 I t

i s bel i eved the adverse weather and l ake cond i t i ons prev i ousl y menti oned

were the primary reasons for these l ow numbers rather than effects of

spawn i ng act i v i ty or mechani cal harvesti ng One specul at i on may be that

the strong wi nd caused a strong current wh i ch may have effecti vel y

h i ndered the swimmi ng abi l i ty of the weaker swimmi ng post1 arvae and smal l

j uven i l e s Consequently these organ i sms became more or l ess pl ankton i C

Another suppos i t i on may be that the strong currents caused by the w i nd

sti rred u p the water enough to cause a decrease i n water c l ari ty Th i s

woul d a l so resu1 t i n a decrease i n 1 i ght trap effect i veness Adverse

9-8

weather cond i t i ons i n January may have al tered the effecti veness of both

sampl i ng method and techn i ques

IX D 2 Sampl i ng Effec1 encv

Prev i ous stud i es (Ager 1 97 1 F l ori da Game amp Fresh Water Fi sh

Commi ss i on 1956 ) reveal ed that at l east 48 fi sh speci es i nhabi t Lake

Okeechobee Duri ng the present study 2 1 spec i es or 44 of those found

i n the l ake have been col l ected thus far

Speci es saturati on curves wh i ch address sampl i ng effi c i ency do not

appl y to i chthyofaunal analys i s due to such factors as act i ve movement of

organ i sms wi thi n and through an area di fferences i n seasonal spawn i ng

and d i verse uti l i zati on o f a habi tat by di fferent 1 i festages wi th i n a

spec i es An esti mate of sampl i ng effi c i ency can be obta ined by compari ng

the number of spec i es col l ected i n our study duri ng a g i ven season ( or

month) to the number of speci es known to spawn i n that season i n Lake

Okeechobe e

Spawn i ng seasons of 3 2 o f the 48 known speci es have been

documented Spawn i ng seasons for the remai nder of the spec i es are

unknown or have not been reported Of the 32 speci es wi th known

spawn i ng seasons there are approxi mate ly 1 5 l ate summer to fal l

spawners 1 4 l ate fal l to wi nter spawners and 2 5 spri ng and sununer

spawners At l east 4 of these speci es seem to spawn al l year around

U s i ng these numbers as a basel i ne for compari son an approxi mate

percentage of speci es col l ected per season ( or month) can be cal cul ated

I n our September sampl i ng whi ch represented l ate summer to fal l

spawners 10 of the 1 5 known speci es (or 66) were col l ected In our

January sampl i ng representi ng l ate fal l to wi nter spawners 10 of the 1 4

known spec i es ( or 7 1) were col l ected Most o f the fi sh spec i es i n Lake

Okeechobee are spri ng and summer spawners ( 7) consequentl y our

spec i es l i st i s expected to i ncrease i n Quarter I I I due to th i s i ncrease

i n spawn i ng act i v i ty

The number o f t i mes a n area i s sampl ed wi thi n a season i s as

i mportant a factor i n col l ect i ng adequate data as i s the number of

repl i cates taken Due to fund i ng constra i nts onl y one sampl i ng event

9-9

per season was schedu led Typ i cal l y i chthyofaunal s ampl i ngs are

conducted on a monthl y or b imonthl y schedu l e Th i s resul ts i n an

i ncrease i n novel speci es over t i me wh i ch l essens the i nfl uence of

prev i ou s l y ment i oned factors that i nh i bi t anal ys i s

The spec i es represented i n our study coi nc i de wi th the s pec i es

known to i nhabi t Lake Okeechobee The same spec i es were col l ected w i th

al l methods uti l i zed i nd i cat i ng there was very l i ttl e d i fference i n

spec i es d i vers i ty between methods empl oyed

IX D 3 Methodol ogy ys Li festage

Pl ankton tows most effect i vel y catch organi sms moved by currents

( pl ankton ) and l i ght traps attract free-swi mmi ng organ i sms As a resu l t

nearl y al l the postl arvae were col l ected i n pl ankton tows wh i l e

juven i l es were taken i n l i ght traps I n order for the l i ght traps to be

successfu l fi sh 1 arvae must be attracted to a l i ght source Some

spec i es of fi sh are attracted to l i ght some are repel l ed wh i l e others

are unaffected Whi l e onl y spec i es that were pos i t i vel y phototroph i c

were captured i n the l i ght trap sampl es those same spec i es were al so

captured i n the pl ankton tows and weed harvest sampl es These s pec i es

were not excl us i ve to any one methodol ogy The eggs wh i ch were reported

i n l i ght trap sampl es were probabl y fl oat i ng i n the water col umn and

carri ed i n to the trap by currents The greatest number of eggs were

removed by the weed harvester when the 1 eafi er type of Hydri l l a was

harvested Some adul t fi sh spawn i n areas of dense Hydri l l a i nfestat i on

( Chubb and L i ston 1 986 Pal l er 1987 ) Therefore the l eafi er Hydri l l a

i s most l i kel y the preferred area for attachment and protect i on due to

the h i gher surface area

Onl y the smal l er spec i es were col l ected as adul ts i n al i quots of

harvested weeds Presumabl y these smal l er s pec i es seek Hydri l l a for

protect i on and are subsequentl y removed al ong wi th the Hydr i l l a by the

harvester S i nce no adul ts of l arge spec i es were col l ected i n the weed

harvest sampl es i t i s poss i bl e they are abl e to swi m out of the

i mmedi ate area to avo i d removal wi th the Hydri l l a

9- 10

IXO4 Aqyat i c Vegetati on and Spec i es Cond i t i on

Prev i ous stud i es (Hal l er Shi reman and DuRant 1980 ) i nd i cated

that few adul t fi shes are actual l y harvested i n conj unct i on w ith Hydri l l a

removal Therefore no fi el d demonstrat i on act i v i t i e s were pl anned

duri ng the present study

Stud i es have shown that changes i n areal coverage of submerged

vegetat i on have a d i rect effect on spec i es ut i l i zat i on of habi tats and

d i stri but i on between habi tats (Col l e and Sh i reman 1980 Rozas and Odum

1987 ) Hydri l J a prov i des shel ter for l arge numbers of forage fi sh In

areas of th ick HydrjJ l a i nfestati on s acces s i bi l i ty i s reduced resul t i ng

i n decreased feed i ng effi c i enci es of forag i ng fi sh Macci na and Shi reman

( 1982 ) reported dense Hydri l l a i nfestat i ons coupl ed w ith reduced forage

fi sh av a i l ab i l i ty appeared to restri ct bl ack crapp i e ( Pomoxi s

nigromacyl atys) growth S imi l arl y Bai l ey ( 1978) reported an i mprovement

i n both growth and cond i t i on of sunfi shes after the removal of dense

aquat i c vegetat i on Col l e and Shi reman ( 1980 ) reported the amount of

Hydri l l a i n the water had a greater i n fl uence on the cond i t i on of

bl ueg i l l and sunfi sh than did percent cover As more of the water col umn

becomes i nfested with Hvdri l l a the cond i t i on of these speci es decreases

The degree of change 1 5 spec ies spec i fi c and rel ated to food usage

Hydri l l a growth affects the cond i t i on factors of l arger gamefi sh before

i t affects cond i t i on factors of smal l er gamefi sh Th i s i s probabl y due

to prey-capture effi c i ency

El i mi nati ng Hydril l a compl etely from an area 1 5 al so detri mental

to f1 sh popul at i on s ( Col l e and Shi reman 1 980 ) Th i s woul d resul t i n a

decrease i n avai l abl e refuge for the forage fi sh renderi ng them read i ly

suscepti bl e to predat i on U l t i matel y the decrease i n forage fi sh

ava i l abi l i ty wou l d l ead to a decrease i n popul ati on of p i sci vorous fi sh

An i ncrease i n edge avai l abi l i ty due to harvest i ng i ncreases food

ava i l abi l i ty by al l owi ng forag i ng al ong a greater open water-vegetat i on

gradi ent Th i s i n turn resul ts i n more favorabl e cond i t i on factors for

gamefi sh Increas i ng the edge avai l abi l i ty i n our study seems to have

had no short term effects on l arval f1 sh popul at i ons such as al ter i ng

spec i es ut i l i zati on or abundance i n the area

9 - 1 1

rhe above menti oned studi es and others (Hi ko1 1985 Gregory and

Powl e s 1985 Lantz et a1 1 965) i l l ustrated that aquat i c vegetat i on

growth wi th i n l i m its prov ides an ava i l abl e suppl y of forage fi sh

essent i al to favorabl e sport fi sh popul ati on growth

IXD S Hab i tat Uti l i zation

rhe vegetated habi tat i n our study seems to be uti l i zed mos t by

post1 arvae and j uven i l es of the 1 i vebearers and ki l l i fi sh The domi nance

of these two spec i es groups at the vegetated stat i on i s cl early

i l l u strated i n F i gure 9 6 Al though the catch per un i t effort was

h i ghest for these smal l er speci es the ANOYA resul ts i nd i c ate l arval

stages of the l arger spec i es were uti l i zi ng the h abi tat as wel l It

seems that al most al l of the spec i es col l ected use the vegetati on as

protect i on from the l arge foragi ng fi sh at some t i me duri ng the i r l i fe

ANOYA resul t s showed there were no s i gni fi cant d i fferences i n spec i es

d i vers i ty between the vegetated surface ( X - 1 42 ) 1 i ght trap s ampl es

T - tests i nd i cated ( plt OS) there were al so no s ign i fi cant d i fferences i n

number of fi sh col l ected from the surface ( X-27 7) and bottom ( X 23 9 )

s ampl es These resul ts impl y there was no strat i fi c at i on i n the vert i cal

d i s tri but i on of fi sh wi thi n the vegetated habi tat

The open water habi tat i s most ly ut i l i zed by the l arger spec i es

Lepomi s spp and gobi es wh ich were probably u s i ng the area as a forag i ng

s i te

S i mi l ari t i es or d i fferences i n spec i es d i vers i ty and abundance

betwee n t h e vegetated and open water habi tat s were exami ned

stat i st i cal l y Al though CPUE s for the l arger spec ies were qu i te

d i fferent from the CPUE s of the smal l er spec i e s ANOVAS i nd i cate there

were no s i gni fi cant d i fferences i n spec i es d i vers i ty between these two

stat i ons ( p-O OS ) The j uveni l es of the smal l er spec i es must be

ut i l i z i ng the open water areas as foragi ng s i tes al so T-tests on the

number of total fi sh i n the l ight traps reveal ed there was a

stat i st i cal ly s i gn i fi cant d i fference between the number of fi sh i n the

vegetated habi t at (X-23 9 ) and those i n the open water hab i tat (X38 4)

Th i s d i fference was expected s i nce 96 of the j uven i l es were col l ected

9 - 1 2

i n l i ght traps and 9 of those were col l ected i n the vegetated habi tat

There were more j uven i l es i n the harvested area than i n the open water

consequent l y the l i ght trap woul d have attracted more fi sh i n the

harvested are a Most o f these j uven i l es col l ected were l i vebearers and

ki l l i fi sh The d i fference i n fi sh numbers was probably i nfl uenced more

by spec i es ut i l i zati on and methodol ogy rather than by harvester i mpacts

The harvested edge and natural edge habi tats i n our study were

predomi nantly uti l i zed by l arger spec i es CPU E s were very s i mi l ar among

spec i es between these two stat i ons There was no stat i st i cal ly

s i gn i fi cant d i fference i n speci es d i vers i ty between the harvested edge

and natural edge T-tests i ndi cated there was no stat i st i cal l y

s i gn i fi cant d i fference i n fi sh abundance between these two stati ons

( harvested edge X-27 9 natural edge X-33 6) Evi dentl y the harvest i ng

of Hydrl l J a has had no s igni fi cant short term i mpact on e i ther

d i stri but i on or abundance of fi sh i n these two areas

As wi th other s i mi l ar stud i es ( Rozas and Odum 1 987 Barnett and

Schne i der 1 974 Pal l er 1987) MML s vegetated and h arvested stati ons

were ut i l i zed by the smal l er spec ies (sect affi n i s H formosa and 1

parva) whi l e open water and edge stati ons were frequented by 1 arger

spec i es ( Lepomj s spp sect robustum and H qul osus ) Recent stud i es have

shown that vegetated areas prov ide protect i on for smal l fi sh by reduci ng

the foragi ng effi ci ency of l arge predators ( Rozas and Odum 1 987 Macc i na

and Sh i reman 1 982 ) In add i t i on to provid i ng refuge Hydri l l a al so

supports a high number of i nvertebrates wh i ch may be an i mportant food

source for smal l fi sh ( Pal l er 1987 Rozas and Odum 1987) Some l arge

open water forag i ng fi shes may demonstrate fl exi bl e habi tat requ i rements

I t was found that bl ueg l 1 l s foraged effecti vel y on vegetat i on-dwel l i ng

prey i n areas of submerged vegetati on as wel l as i n open water areas

(Werner and Hal l 1 977 Col l e and Shi reman 1980 ) The use of habi tat by

Lepomi s s p i n Lake Okeechobee seems to paral l el the fi nd i ngs of these

stud i es Lepomi s spp appear to ut i l i ze al l fi ve habi tats for spec i fi c

purposes and t o a d i fferent extent The vegetated and harvested areas

are probabl y used for protect i on and spawn i ng the harvested and natural

edges and open waters were probabl y forag i ng s i tes

9- 13

Ana1 ysi s of the eggs and 1 arvae entrai ned by the weed harvest

program wi l l al l ow est i mates of total egg and l arval stocks of the study

area Th i s method wi l l not quanti fy al l stocks present due to escape of

l arvae back i nto the waters by runoff from the barge avo idance of weed

h arvesters etc It wi l l however quant i fy h arvester i mpacts and al l ow

a rough compari son of abundance est imates to those generated by the l i ght

trap and net methodol og i es El i mi nati ng Hydri 1 1 a compl etel y from an area

i s al s o detri mental to fi sh popul at i ons (Col l e and Sh i reman 1 980 ) Th i s

woul d resul t i n a decrease i n ava i l abl e refuge for the forage fi s h

renderi ng them read i l y suscepti bl e t o predat i on Ul t i matel y the

decrease i n forage fi sh ava i l abl 1 i ty wou1 d 1 ead to a decrease i n

popul ati on of pi sci vorous fi sh

Al though thi s study was not des i gned to determine the total

percent of fi sh and fi sh egg s bei ng removed by the weed harvester from

lake Okeechobee the rel at i ve abundance of fi sh and fi sh eggs bei ng

removed w ith the Hydrl 1 1 a can be determi ned Th i s can be accompl i shed by

compari ng the percent of fi sh and fi sh egg s col l ected i n the weed h arvest

sampl es to the percent of fi sh and fi sh eggs col l ected i n the pl ankton

tows and 1 1 ght traps Of the three methodo l og i es empl oyed the weed

harvest sampl es contai ned the greatest abundance of organ i sms The weed

h arvester removed 50 3 of al l fi sh and 99 of al l egg s col l ected to

date The pl ankton tow sampl es represented 28 4 of al l fi sh and 0 of

al l eggs col l ected ( Figure 9 7) These data i nd i cate a l arge number of

fi sh and fi s h egg s are bei ng removed wi th the Hydri 1 1 a The avai l ab i l i ty

of an i mportant habi tat for spec i es uti l i zat i on i s al so be i ng removed

Data col l ected thus far suggest there are no stat i st i cal l y

s i g n i f i cant short- term i mpacts on spec i es abundance or d i stri buti o n on

l arval and j uven i l e fi sh i n lake Okeechobee due to mechani cal h arvest i ng

However the avai l ab i l i ty of an i mportant habi tat i s bei ng removed

Consequentl y more extens i ve short- term and l ong -term stud i es shoul d be

conducted over a broad t ime span

9 - 1 4

IX E SUMMARY ANP CONCLUSIONS

1 Heterandria formosa Leoomis sp and Gambusi a affi n i s were

the three most abundant fi sh spec i es wh1 1 e centrarchi d eggs were the

most abundant egg spec i es col l ected

2 Thus far 2 1 speci es ( or 44) of those found i n the l ake have

been col l ected

3 Nearly al l the post1 arvae were col l ected i n pl ankton tows and

weed harvest s ampl es whi l e juven i l es were taken i n l i ght traps

4 The weed harvest s ampl es contai ned the greatest abundance of

organ i sms

5 There seems to be no strati fi cati on i n the veri t i cal

d i stri buti on of fi sh wi th i n the vegetated habi tat

6 There was a stati sti cal l y s igni fi cant d i fference between the

number of fi sh in the vegetated habi tat and those i n the open water

hab i tat

7 There was no stati sti cal l y s i gn i fi cant d i fference i n speci es

d i vers i ty between the harvested edge and natural edge

8 Leoomis s p appear to uti l i ze al l five habi tats for speci fi c

purposes and to a d i fferent extent

9 Mechan i cal harvesti ng seems to have had no stati sti ca l l y

s i gn i f icant short-term impacts on spec i es abundance or d i stri but i on on

l arval and juven i l e fi sh in Lake Okeechobee thus far

10 The avai l ab i l i ty of an i mportant habi tat i s be l ng removed by

the weed harvester

9 - 1 5

LITERATURE C ITED

Bai l ey W M 1 978 A compari son of fi sh popul at i ons before and after extens i ve gass carp stocki ng Trans Am F i s h Soc 1 07 181 - 206

Barnett B S and R W Schne i der 1 974 F i sh popul ati ons i n dense submersed pl ant commun i t i es Hyac i nt h Contr J 1 2 1 2 - 1 4

Chubb S L 1986 Dens i ty and d i stri but i on o f l arval fi shes i n Pentwater Marsh a coastal wetl and on Lake M ich i gan J Great Lakes Res 1 2 ( 4 ) 332-343

Col l e D E and J Y Shi reman 1980 Coeffi c i ents of cond i t i on for l argemouth bas s bl ueg i l l and redear sunfi sh i n Hydri l l a - i nfested l akes Trans Am Fi sh Soc 109 52 1 - 53 1

Gregory R S and P M Powl es 1 985 Chronol ogy d i stri but i on and s i zes of l arval fi sh samp l ed by l i ght traps i n macrophyte Chenung Lake Can J Zool 63 2569 -2577

Hal l er W T 1 980 F i sh harvest resul t i ng from mechan i cal control of Hydri l l a Trans Am Fi sh Soc 109 51 7 -520

Lantz K E J T Daves J S Hughes and H E Schafer Jr 1 965 Water l evel fl uctuat i on - - i ts effects on vegetat i on control and fi sh popul at i on management Proc Annual Conf SE Assoc Game amp F i sh Comm 1 8 483-495

Macc i n a M J and J Y Shi reman 1 982 I nfl uence on dense Hydrl l l a i nfestat i on on bl ack crappi e growth Proc Ann Conf SE Assoc F i sh amp W i l dl Agenc i es 36 394 -402

Mi kol G F 1 985 Effects of harvest i ng on aquat i c veget at i on and j uven i l e fi sh popul at i ons at Saratoga Lake New York J Aquat Pl ant Mgt 23 59 -63

Pal l er M H 1 987 Di stri but i on of l arval fi sh between macrophyte beds and open channel s i n a southeastern fl oodpl a i n swamp J Freshwater Ecol 4 ( 2 ) 1 9 1 - 200

Rozas L P and W E Odum 1 987a F i sh and mi crocrustacean use of submerged pl ant beds in t i dal freshwater marsh creeks Mar Ecol Prog Ser e 38 10 1 middot 108

Rozas L P and W E Odum 1987b Use of t idal freshwater marshes by fi shes and mcrofaunal crustaceans al ong a marsh stream-order grad ent Estuari es 10 ( 1 ) 36 -43

Snyder D E 1 983 F i sh eggs and l arvae I n L A N i el sen and D L Johnson ( eds ) F i sher i es Techn i ques Southern Pri nti ng Co I nc Bl ackburg VA p 166 - 167

9 - 16

Tabl e 9 1 Ana l yses of vari ance ca l cu l ated for pl ankto n tows and l i ght trap s amp l es for September and January s amp l ings

S t mb r 23 1 987

S t at i ) n

CQIJ n t Hi-an S t j DiIv

S t j E r r Vr- i n c C ) i- r r Vr M i n imum M alt i m IJ m

1 -WoiY ANOW

Troiltill1i n t Er l or-

Tot a T

F-t e s t Rat i o

Li 9 h t Tri o Simo T

C IJ nt M in

S t middotj CIiV S t d E I r

V i r i in c C )i r f VJr

Mi n i mlJm

Ma( i m um

1 -WJY ANI)VA

71-=03 t mi n t

Er r o rmiddot

25 1 1 1 7 1 73

57 24 24il l 58 1

53 578

l s

4 2 7 1)6 -

-

bull bull j-4 90

1 52 84

33 1 3 03

-r c T -

J

7 2c2 7 1 1 63 06

63 52 2245 32 i 1

3 43

SS

1 48092 3

2572

26 1 1664

1

1 42

2 45 -

-

5 3 1 7 1 63

1

7 3 1

SS

66 13 3 1 5 4)

38 1 53

4

6 383 1 7 65 1 4

230 72 3 1 lt0337

1 47 49 4lt

1 506

DF

3 23

26

2

3 99

1 49 bull oJ

2 22 1 49 86

- - 4 (3

OF co J

co oJ

5 3 1 Be) 330 53 1 5 1 bull 6 1 1 53 1 2

8 67 e J

75 1

MS

49364 12 107 1 1 1 a

3

3 73 17 bull 1 C) 03

23 i3 53

83

Mshy

D 23 7 86

4 II w

37 bull 3 43 e bull J (

1 7 middot _ bull 1 3 3 1

43 34 6(1 36 - I 0

1 4 1 7

Tabl e 9 1 conti nued

3 4 oJ

CrIJ nt 4- 5 3 4 M rl 4 1 5 01) 548 00 7)4 67 1 562 00

5 t j D 1 520 60 643 23 03 I 2053 65

S t j Er r 261) 30 287 6 46( 33 1 026 33 Voir- h r c -o 27 1 025 4 1 33 1 4 653middot25 42 1 7476 C Hd f VJr 1 25 45 1 1 7 39 1 1 4 76 1 3 1 43

Mi n i mlJIT fr oJ) 3 54 330 11a(imJm l 1 S8 1 642 1 6 1 0 4608

l -W y ANQVA

S5 OF MS

r tme n t 32601 7 1 3 1 086724

Er r o r 1 6423671 12 1369056

iot Jl 1 1638342 1

F-t est R t i ) 71

Tabl e 9 2 Student t -tests analyses cal cul ated for p l ankton tows and 1 i ght trap sampl es for September and January sampl i ngs

t -Gear Stati on Habi tat Mean S D Stat i st i c plt0 05

L ight trap 1 bottom vegetated 23 88 6 252 L i ght trap 5 open water 8 35 0 495 3 308

Light trap 1 surface vegetated 27 70 24 13 L i ght trap 1 bottom vegetated 23 88 6 25 0 307 NS

Pl ankton tows 3 harvested edge 27 89 6 92

Pl ankton tows 4 natural edge 33 57 1 5 06 -0 685 NS

Pl ankton tows 2 harvested 34 88 9 74 5 open water 50 82 26 42 - 1 133 NS

Tabl e 9 3 Temperature ( OC) pH ( standard un i ts ) conducti v i ty (lIIIIhos ) and d i ssol ved oxygen (mgl ) for fi sheri es Stat i ons 1 - 5 September and January sampl i ng s

SeDtember

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( OC ) 28 03 28 02 27 93 28 32

pH 7 83 7 84 7 96 8 1 2

Conduct i v i ty (nmhos ) 0045 0039 0038 004 1

D O (mgl ) 4 3 4 0 5 3 5 4

January

STA 1 STA 2 STA 3 STA 4 STA 5

Temperature ( oC ) 16 99 16 97 16 85 16 74 16 80

pH 7 10 7 1 7 7 07 7 1 3 7 1 0

Conduct i v i ty (nmhos ) 0018 0020 00 18 00 16 00 16

D O ( mgl ) 8 1 8 6 8 4 8 6 8 4

Tabl e 9 4 L i st of fi sh spec i es from Lake Okeechobee September s ampl e s

Engraul i dae Anchovi e s

Anchoa mi tchi l1 1

Cypr i n i d ae

Notemigonys crysol eucas NotroDi s sp

Cypri nodont f dae

Jordane1 ] a fl oridae Lycania Darva

Poeci 1 i i dae

Gambys1a affinis Heterandr i a formosa poec1 l ia l atjpi nna

Atheri n i dae

Menid i a s p

Centrarchi dae

LeDomi s macroch1 rys LeDomi s s p

Gob i i dae

Gobiosoma robystym Microgob1 ys gyl osys

bay anchovy

Carps amp M i nnows

gol den shi ner s h i ner

Ki 1 1 i fi shes

f1 agfi sh rai nwater ki l l i fi sh

Li vebearers

mosqu i tofi sh 1 east ki l l i fi sh s a i l fi n mol l y

S1 1 vers i de s

s i l versi de

Sunfi shes

bl uegi l l sunfi sh

Gob i es

code goby cl own goby

Tabl e 9 S Li st o f fi sh speci es from Lake Okeechobee January sampl es

SDec1 es Common Name

Cypr i n idae carps and minnows

HotroDi s s p sh i ners

Poec l l i l dae l l vebearers

Gambusi a aff1 n 1 s mosqu l tofi sh Heterandri a formosa l east kl l l i fi sh

Ather i n idae s l l vers ides

Centrarch l dae sunfl shes

LeDom1 s sp sunfi sh

Percl dae perches

Gob1 1 d ae gob l es

Tabl e 9 6 li st of al l fi sh spec i es col l ected to date i n lake Okeechobee sampl es

Species Common Name

Engrau1 i dae anchov i es

Anchoa mi tch ll 1 i

Cypr i n i dae

Notemigonus cryso1 eucas Hotropi s s p

Cypri nodont 1 dae

Jordane1 ]a f] ori dae lucan i a parva

Poec l 1 i l dae

Gambysi a affi n i s Heterandri a formosa poec1 l i a l atpi nna

Ather1 n 1 dae

Meni d ia sp

Centrarch idae

LeDomis macroch i rus LIPomis s p

Perc i dae

Gob1 i dae

ampobiosoma robustum M1crogobiys gu l osus

bay anchovy

carps and mi nnows

gol d en s h i ner sh i ner

ki l l i fi sh

f1 agfi sh rai nwater ki l l i f1 sh

l i vebearers

mosqui tofi sh l east ki l l i fi sh sai l f1 n mol l y

s i 1 versi des

si 1 versi de

sunfi shes

bl ueg i l l sunfi sh

perches

gobi es

code goby cl own goby

Tabl e 9 7 Mean number of i nd i v i dual s ( per s peci es ) per hectare at each habi tat for September and January pl ankton tows ( No pl ankton tows i n unharvested weeded areas )

SEPTEMBER 1987

F I SH

Cypr i n i dae NotroDi s sp Lucani a Darya Gambysi a affin i s Heterandri a formosa Men l di a spp Centrarch idae Lepomi s s p Gobi osoma robystum Mi crogobi ys gyl osys Un i denti fied

TOTAL HECTARE TOTAL SPEC I ES

fGGS

ANJABY laa

F I SH

Cypri n idae Cypri nodonti dae Gambysa affi ni s Atheri n idae Centrarch i dae lepomi s s p Uni dent i fi ed

TOTAL HECTARE TOTAL SPEC I ES

Centrarchidae spp Uni dent i fi ed

Harvested ( hec )

1 27 0 3 1 7 0 204 0 199 0 58 0

268 0 578 0 413 0

492 0

2656 0 8

Harvested ( hec)

56 0

230 0

1 188 0 186 0

1652 0 3

Harvested Edge

( hec)

39 0 6 1 0

439 0 395 0 281 0

6 1 0 143 0

1419 0 6

Harvested Edge

( hec )

380 0 1642 0 548 0

2570 0 2

58 0 1 1 2 0

Natural Open Edge Water

( hec) ( hec )

46 0 74 0

400 0 340 0 139 0 751 0

1 506 0 735 0 162 0 46 0 59 0

2299 0 1959 0 5 4

Natural Open Edge Water

( hec ) ( hec)

330 0 54 0

1610 0 4608 0 450 0 980 0

21 1 4 0 5918 0 2 2

330 0

Tabl e 9 8 Average number o f i nd i vi dual s caught per hour fi shed per habi tat i n l i g ht trap sampl es for September and January sampl i ng s ()

Veg a Veg a Harvested Harvested Natural Open Water Surf Bottom Bottom Edge Edge

eEtIE I s 1 2 3 4 5 Surface

Cypri n i dae 0 37 0 83 0 70 0 30 2 2 Notemogonus

crysol ecas 1 07 1 07 Notropi s S P a 1 68 1 01 0 27 2 95 Cypri nodont i dae 0 19 0 19 Lucan i a parva 0 33 0 37 0 70 Heterandri a

formosa 18 03 7 81 0 70 0 53 27 07 Gambusi a affi n i s 7 03 1 7 1 0 67 9 4 1 Men i d i a SP a 4 63 0 83 1 40 0 30 7 16 Centrarchi dae 1 70 1 70 Lepomi s macroch i rus 0 57 0 57 Lepomi s SP a 0 37 0 37

( 0 58) Perci dae (0 30) ( 0 28) Gobi idae 0 76 0 76 Gobi osoma robustum 0 39 0 27 0 37 0 87 1 90 Mi c rogobi u s gul osus 0 97 1 40 1 33 3 70 Un i denti fi ed 0 33 0 19 0 70 1 22

(0 25) fill Anchoa mi tchl 1 l i 0 1 9 Atheri n i dae 0 33

Tabl e 9 9 Total number o f fi sh per spec i es per 100 kg o f Hydri l l a i n the weed harvest sampl es for September and J anuary

Total Rep 1 Rep 2 Rep 3 PEtIE Organ i sms 100 kg 1 00 kg 100 kg

SEPTEMBER

Notrop i s sp 32 5 1 7 27 5 77 5 52 2 Jordanel l a fl ori dana 1 4 0 6 0 3 3 Lucan 1 a p arva 9 27 8 4 6 6 0 12 8 Poec i l l idae 1 4 6 1 5 Gambus i a affi n i s 92 1 1 5 2 1 19 2 220 5 1 5 1 6 Heterandri a formosa 309 500 6 380 4 595 9 492 3 Poec i l i a l at i p i nn a 5 9 2 1 7 9 9 0 Lepomi s sp 2 9 2 3 1 Un ident i fi ed 45 55 6 4 1 2 1 3 1 1 227 9

Ess1 Ather i n i dae 20 1 1 9 50 4 35 8 32 7 Un i den t i fi ed 1 1 1 5 9 9 2 29 8 1 8 3

JANUARY

Notropi s sp 1 5 8 1 9 Heterandri a formosa 1 5 8 1 9

W1 Centrarchi dae 4562 26660 8 36 1 8899 0 Un i dent i fi ed 1 334 7801 2 2600 4

APPROXI MATE W E E D LINE

LAKE OKEECHOBEE

f

1 _middot-

NORTH LAK E S H OAL

-

Fi gure S l S i t e of c ht hyopl a n kton sampl i n g a l o ng ha rve s ted transect 3 a n d 4 Tra n s e c t 3 wa s the a rea of harves ted Hydri l l a col l e c ti o n a nd Tra n s e c t4 wa s the area of p l a n k to n tow a nd li g ht trap col l ec ti o n

O P E N L A K E

bull bull bull

2 5

3

WEEDED AREA

Fi gure 9 4 S chema t i c o f I c h t hyopl ankton samp l i n g s t a t l ons

middot

Fi g u re 9 3 Ap proxima te s ta ti o n area de s i g na ti o ns for l i g h t tra p and p l a n k to n tows a l ong tran sect 4

middot F i gure A Drawi ng of the s i de-moun ted appa ra tus conta i n i ng two JOcm mouth J6Ju mes h coni ca l

p l ankton nets

Waterproof Flashlight

P lastic Colec tion Jar

505u Mesh Plankton Netting

Collar

r---c------i I----+----Hinge

Collection Funnels

Monofilament Handle for Rope and Bouy Attachment

Fi gure 9 5 Schema t i c of l i ght trap used a t the surface of S tation 1 a nd bottom a t Stati ons 1 - 5

(J) a U a lt U a L1 2 (J) - -U LL -c j z Q o z Ci5 lt 0 a 0 () rJl

Figure 96 Numbers of Llvebearers and Killifish 8S percent of total number collected by habitat for September and January samplings c ombined

1 00 -

8 0-

6 0-

4 0-

2 0-

a VE G

( 1 5 1 )

I I I I HARVESTED HARVESTED NAT U R A L

EDGE EDGE

( 5 9 7) ( 7 5) ( 7 5)

H A B ITAT

( TOT AL FIS H COLLECT E D )

OPEN W AT E R

( 1 00)

0 W I-0 W J J 0 0

en IL IL 0

igure 97 Tota l of fish larvae (pro post juv) and fish eggs by methodology use d for

Lake Okeechobee 0 I and 0 2 samplings combined (Total of fish = 9 9 6 Total of eggs =5 9 3 I )

6 0 0- 6 000

5 0 0- 5 0 0 0

0 w 0 lampJ

4 0 0- J 4000 J 0 0 C) CJ 0 bJ

3 0 0- IL 3 0 0 0

-

OO- 2 0 0

1 0 0- 1 0 00

0 0 1- Z en I- en 0 w en 0 = I c w w 1- 0 O lt gt 1-

- 0 0 Z

J I-lt lt I J c

M ET H O D O L O G Y

0 1- Z en w en 0 = W IJJ 1- 0 gt I-0 lt lt I J c

M ET H O D O L O G Y

I- en I c o lt - 0 J I-

X BENEFITCOST ANALYSIS

X A INTRODUCTION

The economi c feas i bi l i ty of impl ement i ng a l ake-wi de mechan i cal

weed harvesti ng program for Lake Okeechobee can be determi ned by

compari ng the economi c costs of weed harvest i ng wi th the economic

benefi ts as soci ated wi th weed removal and val ue of by- products from

harvested aquati c weeds Thi s sect i on of the Hi d- Course Summary Report

provi des a bri ef overvi ew of the prel imi nary efforts i n devel opi ng an

economi c deci s i on framework

X B ECONOMIC DECISION FRAMEWORK

B l BenefitCost Analysis

The i n i t i al scope o f work for phosphorus removal i n Lake

Okeechobee i ncl uded more than one techn i que for reduc i ng the phos phoru s

content of the l ake Based on the orig i nal scope of work the economi c

anal ys i s for thi s project woul d i nvol ve devel opi ng an economi c deci s i on

framework i n wh i ch the vari ous techn i ques ( L e mechani cal weed

harvest i ng sediment removal ) and the various methods of di sposal ( i e

feedstock l and d i sposal so i l amendment b i omass -to-energy ) wou ld be

presented i n a matr i x format resul t i ng i n a number of al ternat i ves The

benefi t and cost anal ys i s woul d be performed u s i ng a net present worth

approach i n whi ch future benefi t and cost fl ows wou ld be converted to

1988 base dol l ar val ues Then the al ternati ves woul d be ranked by thei r

net present worths

Because o f the d i ffi cul ty i n obtai n i ng the necess ary permi ts

( e g FDER dredge and fi l l ) and budgetary restri cti ons sed iment removal

was el i mi nated as a phosphorus removal techni que i n the fi nal work pl an

Consequentl y the benefi t and cost anal ys i s has been s i mpl i fi ed to

cons i st of onl y one techn i que of phosphorus removal ( i e mechan i cal

weed harves t i ng ) The probl em can be further s i mpl i fi ed by treati ng the

economi c benefi ts of by-product uti l i zati on as negati ve costs Thi s

10- 1

resul t s i n h av i ng only i ntri ns i c val ues ( i e phosphorus removal

aesthet i cs i mproved water qual i ty i ncreased recreat i on ) to eval uate on

the benefi ts s i de of the equat i on Consequentl y the economi c analys i s

can be reduced t o a probl em that can be sol ved by the cost - effect i veness

method

Cost -effect i veness i s a method of eval uat i ng al ternat i ve projects

for wh i ch the benefi t s cannot be eval uated i n economi c terms I n thi s

part i cul ar case the benefi ts assoc i ated w i th aquat i c weed removal are

i ntri n s i c and not eas i l y quant i fi ed The economi cal l y effi c i ent sol ut i on

i s the method of d i sposal whi ch mi n i mi zes the costs of weed harvest i ng

The method o f d i sposal t hat ach i eves the greatest benefi t s per un i t cost

or i n th i s case the l east cost per uni t benefi t woul d be preferred

B2 Financi al Feasibi l i ty

Thi s economi c dec i s ion framework assumes that the South Fl ori da

Water Management Di stri ct has al ready determi ned that phosphorus removal

by mechan i cal weed harvest i ng i s the Di stri ct s goal and that the

obj ect i ve i s to mi n i mi ze the costs assoc i ated wi th ach i ev i ng that goal

However the Di str ict has not yet coitted the funds to cont i nue the

weed harvest i ng proj ect Therefore it woul d be advantageous to eval uate

vari ous al ternat i ves i ncl udi ng the Di stri ct s purchasi ng i ts own

equ i pment

The fi nal work product of the econom ic anal ys i s wi l l i nc l ude

est i mated costs i n dol l ars per acre and per ton of Hydri 1 1 a harvested

Because phosphorus removal i s a key aspect of th i s proj ect cost per

pound of phosphorus on a per acre bas i s wi l l al so be determi ned

Est i mated cost per pound of phosphorus per acre wi l l be cal cul ated us i ng

t o t a l h arvest i ng costs and ranges of phosphorus content for

representat i ve areas of the Hydr1 l l a mat

The factors that contri bute to h arvest i ng costs i nc l ude both fi xed

and vari abl e cost s F i xed costs are those costs that do not change wi th

quant i ty of output and cons i st of cap i t al costs ( i e major equ i pment

purchases bu i l d i ngs and l and) wages of sal ari ed personnel and i n i t i al

start -up costs Vari abl e costs are those costs that change w ith quant i ty

1 0 - 2

of output and i ncl ude the cost of operat i ng suppl i e s wages of hourl y

personne 1 fuel consumpt i on and other costs assoc i ated wi th operat i ng

the equi pment

Approxi mate l i st pri ces for the harvest i ng equ i pment used by the

contractor for the weed harvest i ng demonstrat i on on Lake Okeechobee are

presented i n Tabl e 1 Estimated operati ng costs such as fuel consumpt i on

and mai ntenance costs for these i tems are d i scussed i n the fol l owi ng

paragraphs

The two HIO800 harvesters are the 1 argest harvesters made by

Aquamari ne and represent current technol ogy Th i s part i cul ar model has a

Kubota d i esel eng i ne that uses an esti mated 0 5 gal l on of fuel per hour

Wi th proper preventi ve ma i ntenance the equ i pment shoul d be operat i onal

for 1 0 000 hours Based on an operati ng year of 1 000 hours mai ntenance

costs are estimated to be approxi mately S 1 00 per hour Contractorshy

speci fi ed mod i fi cati ons for the harvesters i ncl ude snake screens and

represent rel ati vel y mi nor changes that are i ntended more for safety of

the operator than for operat i onal effi c i ency

The h i gh- speed HS12 - I4000 transporters are a new product offered

by Aquamari ne The S25 000 pr i ce add -on i s due to the subst i tut ion of

two Vol vo i nboardoutboard eng i nes for a total horsepower of up to 275

Fuel consump t i on i s estimated by the manufacturer to be two to fi ve

g al l ons an hour (maximum consumpti on) when both eng i nes are runn i ng

The two TC 800M trai l er conveyors are speci al -order i tems wi th

mod i fi cat i ons that i ncl ude a gooseneck h i tch for a tractor Aquamari ne

makes a smal l er model that l i sts for approxi matel y S6 000 However for

thi s part i cul ar weed harvesti ng demonstrat i on i t i s i mportant to note

that the bed capac i t i es of the harvesters the transporter and the

trai l er conveyors are the same (800 cubi c feet ) and thus transfer t i me

i s mi n im i zed

These costs represent a substanti al capi tal expend i ture for e i ther

a publ i c agency or a pri vate fi rm In order to arri ve at a standard i zed

cost for equ i pment these costs suppl i ed by Aquamari ne wi l l be

suppl emented wi th cost data from other manufacturers of comparabl e

equ i pment The dec i s i on on whether to i nvest i n equ i pment can be

eva 1 uated us i ng the present d i scounted val ue approach That i s the

10-3

current val ue of the i nvestment wi l l take i nto account the effect of the

d i scount rate Because the d i scount rate i s somewhat arbi trary and even

a smal l change i n the d i scount rate can have a 1 arge effect on the

present d i scounted val ue a sens i t i v i ty analys i s wi l l be performed on the

cal cul at i on

A rev i ew of l i terature on mechani cal weed h arvest i ng d i d not

produce cost document at i on on Hydr11 1 a but i nstead reveal ed that t he

majori ty of publ i shed research on aquat i c weed harvest i ng concerns other

aquat i c weeds such as water hyac i nth and mi 1 foi 1 For exampl e Koega1 11

11 est i mated that the cost per acre of harvesti ng aquati c weeds

( unspec i fi ed ) for two projects i n Wi sconsi n from 1 972 to 1 973 was $68 4 1

Th i s cost fi gure may or may not be representat i ve of Hydri 1 1 a

Therefore i n order to arri ve at reasonabl y accurate harvesti ng costs for

Hydr1 1 1 a i t wi l l be necessary to obtai n from ISampT the fol l owi ng dat a

o fuel consumpt i on

o number of l oads harvested

o operati ng hours

o downtimeprevent i ve mai ntenance hours

o wage rates for both sal ari ed and hourl y personnel

o number of empl oyees by type and

o costs associ ated wi th the purchase of suppl i es

Uni t costs on a short middotterm bas i s ( i e the t i me l ength of t he

demonstrat i on project) wi l l be extremel y h i gh due to the l arge cap i tal

costs i ncurred Therefore the project w1 1 1 al so be eval uated on a l ongmiddot

term bas i s ( i e the l i fe of the equ i pment ) for wh i ch the un i t costs

wi l l decrease consi derabl y

I n sUlllllary the fi nal work product for t he economi c anal ys i s

port i on of th i s project wi l l cons i st of a cost-effect i veness study and a

f i nanc i al feas i bi l i ty study The cost-effect i veness study wi l l focus on

methods of d i sposal The fi nanc i al feas i bi 1 i ty study wi l l i nvol ve

eval uat i ng the project on a cost per pound of phosphorus on a per acre

bas i s

1 0 -4

Tabl e 10 1 Approxi mate Cost of Major Equ i pment Used i n the lake Okeechobee Weed Harvest i ng Demonstrat i on

Quant i ty

2

2

1

Name

Harvestors

Conveyors

Transporter

Model

HIO800

TC800M

HS1 2 - 1 4000

li st Pri ce (each)

spec i al mod i fi cati on requested by contractor

Made-to -Order Pri ce (each )

$87 000

$20 000

$60 000

$30 000

$85 000

Source Personal Commun i cat i on wi th Todd Rathkamp Aqua Mar i ne D i v i s i on o f Erectowel d I nc 1 988

DSA Group Inc 1 988

  • MRT 123 Pt 1-3 69p
  • MRT 123 Pt 4 59p
  • MRT 123 Pt 5-6 81 p
  • MTR 123 Pt 7-10 76p