evaluation and research of report
TRANSCRIPT
Submitted to
Submitted by
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
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