jeff yapalater ‘big mahi ’ freeport tuna club macoora board member

42
Jeff Yapalater ‘Big Mahi’ Freeport Tuna Club MACOORA Board Member We aren’t just tuna!

Upload: stormy

Post on 25-Feb-2016

27 views

Category:

Documents


2 download

DESCRIPTION

Jeff Yapalater ‘Big Mahi ’ Freeport Tuna Club MACOORA Board Member. We aren’t just tuna!. Gregory P. DiDomenico Executive Director 609-675-0202 [email protected] www.gardenstateseafood.org. A voice for the fish and seafood industry throughout New Jersey - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Jeff Yapalater‘Big Mahi’

Freeport Tuna Club

MACOORA Board Member

We aren’t just tuna!

Page 2: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Gregory P. DiDomenicoExecutive Director

[email protected]

www.gardenstateseafood.org

A voice for the fish and seafood industry throughout New Jersey

The Garden State Seafood Association is a statewide organization of commercial fishermen and fishing companies, related businesses and individuals working in common cause to promote the interests of the commercial fishing industry and seafood consumers in New Jersey.

The Association’s primary goal is to assure that our marine resources are managed responsibly and that all of the people in New Jersey, whether as anglers or as seafood consumers will be able to enjoy the bounty of New Jersey’s rich coastal and offshore waters for generations.

GSSA members care about the environment and the waters in which they fish. They care about their industry and the consumers they serve.

Page 3: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Process studies Regional scalestatistical habitat

models

Tools forSpace & Time based

Ecosystem Management

Hypotheses

Mechanistic habitat models

Retrospectiveanalysis

Adaptivesampling

IOOS data &models

John P. MandersonNOAA FisheriesECOS program

Page 4: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Dewayne FoxAssociate Professor

Delaware State University

• Fisheries ecology and management

• Coupling biotelemetry and remote sensing data to provide insights into behavior and habitat requirements

• End product focused on providing resource managers with data required for management of aquatic resources

Page 5: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Greetings My Name is Hassan Moustahfid PhD. Marine

Biologist/Project ManagerNOAA Integrated Ocean

Observing System (IOOS®) Program

My goal is to bring “life” to Ocean Observing System And make IOOS inclusive of marine resources

Page 6: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member
Page 7: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

The New Jersey Commercial Fishing Industry

According to the National Marine Fisheries Service, New Jersey ranks 4th in the value of commercial

seafood harvested, among the 14 states along the Atlantic seaboard.  According to the National Marine Fisheries Service,

in 2008 New Jersey’s commercial fishermen brought in almost over 160 million pounds of fish and shellfish with a value at the dock of $168,688,110. Using a conservative 4:1 multiplier, these landings generated three-quarters of a billion dollars of economic activity.

  New Jersey’s Seafood Retail and Import/Export industry has annual sales in excess of $2 Billion.  According to the Department of Commerce in 2008 a total of 1,561 jobs in processing and wholesale

were directly related to commercial fishing industry.  Major commercial fishing ports along the Atlantic Seaboard showing the quantity of fishes landed

and the value of these landings for 2007 and 2008. New Jersey Ports are highlighted.

Page 8: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

The New Jersey Fishing Industry and GSSA are uniquely qualified to provide first hand observations of real – time ocean environmental conditions.

Our vessels can serve as the most efficient research platforms and captains and crew have the experience to perform scientific tasks and adhere to rigorous methodologies.

The commercial fishing industry is willing to cooperate to solve fact based problems with fact based solutions.

An appropriate relationship with scientific institutions and other ocean user groups can form the basis of future progress designed to address common issues.

Data can be collected and analyzed in an effort to avoid incidental catch of certain species.

Data can be collected and analyzed to increase the efficiency of fishing operations.

Commercial Fishing Industry Partnerships

Page 9: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

“Fish can’t overcome physics”

• Behavior, physiology & life historytightly coupled to dynamic propertiesof the fluid ocean.

Integrated Ocean Observing SystemsMeasure variability of the fluid at space-time scales required to understand the physics

Page 10: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

NOAA FATE (2008-2010)

Pelagic Demersal

Prey abundance

Intercorrelated

Pelagic in situ

Benthic

IOOS remote

GAM Habitat models

Page 11: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Frontal index = Ln(Strength of / Distance to)

Frontal index

Page 12: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Problem: Management seeks to reduce butterfish by-catch in the Loligo fishery

ApplicationButterfish Mortality Cap for the Loligo Fishery

Page 13: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Social Data (Fishing Behavior)

Biological Data ( Abundance)

Physical Data (Water Column)

Combining data layers

Integrated Bycatch Reduction Model (Squid/Butterfish)

Page 14: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Social Data (Fishing Behavior)

Biological Data ( Abundance)

Physical Data (Water Column)

IOOS and CTD Data

Combining data layers

Integrated Bycatch Reduction Model (Squid/Butterfish)

Page 15: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Social Data (Fishing Behavior)

Biological Data ( Abundance)

Physical Data (Water Column)

NMFS Survey Data Combining data layers

Integrated Bycatch Reduction Model (Squid/Butterfish)

Page 16: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Social Data (Fishing Behavior)

Biological Data ( Abundance)

Physical Data (Water Column)

Improved FATE Habitat Models

Combining data layers

Integrated Bycatch Reduction Model (Squid/Butterfish)

Page 17: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Social Data (Fishing Behavior)

Biological Data ( Abundance)

Physical Data (Water Column)

Surveys/InterviewsFishermen Decision-making and Fishermen Habitat Models

Combining data layers

Integrated Bycatch Reduction Model (Squid/Butterfish)

Page 18: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Industry, Federal & Academic Partners in An Experimental approach to butterfish bycatch reduction in the North Atlantic

Loligo fishery

Physical & Biological OceanographersJosh Kohut (Rutgers)Matt Oliver (University of Delaware)

Industry & OutreachGreg DiDomenico (GSSA)Eleanor A. Bochenek (Rutgers)

Fishery Scientists/EcologistsJohn Manderson (NMFS)Olaf Jenson (Rutgers)Laura Palamara (Rutgers)Talia Young (Rutgers)

Social Scientist/PolicySteven Gray (Rutgers)Fisheries Management Jason Didden (MAFMC)

Page 19: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Use of telemetry for fish behavior

Dewayne A. Fox Delaware State University

Page 20: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Atlantic Sturgeon Management

• 1891 NJ prohibited catch of mamoose sturgeon

• 1990 Fishery Management Plan for Atlantic Sturgeon

• 1998 US coast wide moratorium

• 2007 Status Review Team recommended listing

• 2010 October 6th Proposed Ruling

Page 21: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

5 Distinct Population Segments (DPS)

• Threatened (Recommended)– Gulf of Maine

• Endangered(Recommended)– South Atlantic– Carolina– Chesapeake Bay– New York Bight

Status Review 2007

Page 22: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

www.vemco.com

Methods• Monitoring

– Existing standardized passive array• VR2• 6.5 year battery life

• Sampling– Coastal Sampling

Hud

son

Riv

er

Long IslandSound

NCCTC

DE Coast

Page 23: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Sampling Results• 2009 n=51

– 49kg (21-93)• 2010 n=54 (39)

– 47kg (19- >140)

Page 24: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Aid in Management

• Movements• Migration paths

– 95% detected within 7km of shore

– 85% within state waters

• Timing

Last

Dow

nloa

d12/37/1 7/14/1 4/19/20

Page 25: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

The Atlantic Cooperative Telemetry Network: a collaborative approach to telemetry data exchange in the eastern United States

Page 26: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

About acoustic telemetry…

• Historically short-term regional studies using manual tracking techniques– Labor intensive– Weather dependent– Expensive $$$$$

• New technology– Longer tag life– More information from tags– Passive receivers– Lower cost $$

Page 27: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

With passive receivers comes…• A way to…

– look at presence/absence inan area

– track multiple species at a given time

Page 28: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

What is ACT?

• It all started with sturgeon……• 2006 ASMFC Atlantic Sturgeon Technical

Committee Meeting

Page 29: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

ACT Development

• 2006 - 15 researchers• 2010 - 62 researchers

– >3700 shared transmitter codes

Page 30: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

ACT Current Data-Sharing

Researcher F

Researcher E Researcher A

Researcher C

Researcher B

Researcher D

ID_Code Release_Date Expiration_Date Tag_Type Coding ChannelTagging_Organization Researcher Species Common_Name Release_Location

27 7/21/2008 11/11/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay28 6/28/2008 10/19/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay29 6/28/2008 10/19/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay30 7/21/2008 11/11/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay31 6/28/2008 10/19/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay32 7/2/2008 10/23/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay33 7/7/2008 10/28/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay34 6/30/2008 10/21/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay35 7/5/2008 10/26/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay36 7/2/2008 10/23/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay157 8/26/2008 12/17/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay158 8/26/2008 12/17/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay159 8/26/2008 12/17/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay160 8/26/2008 12/17/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay161 8/26/2008 12/17/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay162 8/26/2008 12/17/2010V16P-6H S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay209 6/22/2007 11/14/2009V16P-6H-S256 S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay210 6/19/2007 11/11/2009V16P-6H-S256 S256 A69-1105 DSU Dewayne Fox Carcharhinus taurus Sand tiger shark Delaware Bay

Page 31: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Planned Data Sharing

Unknown tag codes

Researcher A

Researcher BResearcher C

Researchers can request information for their

tagged fish

Page 32: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

NOAA’s Integrated Ocean Observing System (IOOS®) Program

IOOS® Biological Observations Project -Observations to Apps-

Hassan Moustahfid, PhD.

MACOORA Annual MeetingOctober 28-29, 2010

Hoboken, NJ

Page 33: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

IOOS® Core Variables

1. Temperature2. Salinity3. Water level4. Currents5. Surface Waves6. Surface Winds7. Ocean color8. Dissolved oxygen9. pH10.pCO2

11. Heat flux12.Bottom character13.Pathogens

list could be expanded based on identified needs...

14.Bathymetry15. Ice distribution16.Contaminants17.Stream flow18.Dissolved nutrients19.Optical properties20.Total suspended matter21.Colored dissolved organic matter22.Fish species23.Fish abundance24.Zooplankton species25.Phytoplankton species26.Zooplankton abundance

33

For more details Please visit www.IOOS.GOV/Catalog

Page 34: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Participating Resources

Web Services

IOOS BIOLOGICAL OBSERVATIONS PROJECTSystem Concept Diagram

Consumers & Applications

ParticipantWeb Service

DatabaseConnection

DataExtract

textxmlkml

NetCDFMatLabetc.!

Human User Interactions• Download• Manual transfer (e.g., to

Excel, GIS, analytical applications)

Browser Integration• Browser-based Discovery,

Display, Mapping, Analysis

Direct Analytical Integration• Direct to NetCDF, MatLAB, r,

etc.Forwarding to additional web service distribution

34

Data Resources 3

Data Resources 2

Data Resources 1

Terminology &Conventions

dcterms / dwcioosbds

CF Conventions

FGDC / ISO Metadata Practices

DwC & IOOS XML Guidelines

WEB SERVICE

Terminology &Conventions

Page 35: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

DepthSea Surface Temperature

Primary production

35

Maps source NOAA/NEFSC

Integrated layers for analyses

specific targeted management

needs

Observations to Fisheries Management

Decisions

Products to Aid Fisheries Management

Secondary production

Fish densityAtl. Cod

Red Hake

Etc.!

Page 36: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Thank You

Hassan MoustahfidHassan. [email protected]

301/427-2447ioos.gov

“Oceans”

Page 37: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

37

Backup

Page 38: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Monument Boundary

Exclusive Economic Zone

~50 islands and atollsPILOT PROJECT

fishery independent surveys (pres/abs/abund – reef fish)

Consumers/Apps:Population assessments

Towed-diver Surveys (TDS)

Rapid Ecological Assessment Fish Censuses Stationary Point Counts (SPC)

38Courtesy of Dr. Jill Zamzow (PIFSC/CRED)

Partners: NOAA. Fisheries, NOAA Marine Sanctuaries, Univ. of Hawai’i, Census of Marine Life, USGS/OBIS-USA, State of Hawai’i, National Park Services

Page 39: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

39

Data access webservice- ERDDAP

Page 40: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

In-situ Data Interoperability

Satellite Ocean Color (Aqua MODIS, Terra

MODIS, SeaWiFS)

National Water Level Observation Network

PORTS®

NDBC DAC (buoys):C-MAN, VOS, NOS

NERRS, etc.

IOOS DAC:Regional

observations

TAO DAC:Tropical

Atmosphere Ocean

DART DAC:Deep-Ocean Assessment

and Reporting of Tsunamis

Sensor Observation Service

High-Frequency Radar (HFR)

surface currents

Web Coverage Service& OPeNDAP

IOOS Data Standards

Sensor Observation ServiceIOOS Data Standards

Web Coverage Service & OPeNDAP

IOOS Data Standards

NDBC Data Assembly Centers (DACs)

Sensor Observation Service and others

Federal, State, Local, and Industry data

IOOS Data Standards

PROGRAM DATA IOOSDATA

Temperature

Waves

Winds

Water Level

Currents

Salinity

Ocean Color(chlorophyll)

1NDBC

2 CO-OPS

3 NOAACoastWatch

4IOOS Regions

(MACOORA, NERACOOS, others)

40

Page 41: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

41

Page 42: Jeff  Yapalater ‘Big  Mahi ’ Freeport Tuna Club MACOORA Board Member

Web Services

Terminology& Configuration

Participating Resources

OBS. To APPSSystem Concept Diagram

Biological Data

Terminology(presence/absence/

abundance)

ERRDAP

Consumers & Applications

Data Resource

dcterms / dwcioosbds CF

Conventions

FGDC / ISO Metadata Practices

ParticipantWeb Service

Data Resource

DatabaseConnection

Data Resource

DataExtract

DwC & IOOS XML Guidelines

namespaces:

The lightning bolt indicates where terminology and configuration activities apply. Technologists and data developers working for both IOOS and participants do the configuration.

Data & Metadata Portals, Clearinghouse and Search

Data Assembly

textxmlkml

NetCDFMatLabetc.!

Human User Interactions• Download• Manual transfer (e.g., to

Excel, GIS, analytical applications)

Browser Integration• Browser-based Discovery,

Display, Mapping, Analysis

Direct Analytical Integration• Direct to NetCDF, MatLAB, r,

etc.Forwarding to additional web service distribution

Key

original data

standards

web servicesapplications

Public presence or restricted access as desired

Search

graphs & maps