Transcript Integrating habitat models into commercial fishing

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
 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.
John P. Manderson
NOAA Fisheries
ECOS program
IOOS data &
models
Retrospective
analysis
Regional scale
statistical habitat
models
Adaptive
sampling
Hypotheses
Mechanistic
habitat models
Tools for
Space & Time based
Ecosystem
Management
Process studies
Dewayne Fox
Associate 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
Greetings
My Name is Hassan Moustahfid PhD.
Marine Biologist/Project Manager
NOAA Integrated Ocean
Observing System (IOOS®) Program
My goal is to bring “life” to Ocean
Observing System
And make IOOS inclusive of marine
resources
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.
Value
Million Dollars
Port
2007 2008
New Bedford, MA
176.2 206.5
Hampton Roads Area, VA
78.0 100.6
Cape-May-Wildwood, NJ
57.7 73.7
Key West, FL
38.4 43.2
Gloucester, MA
37.8 42.7
Point Judith, RI
31.2 31.5
Reedville, VA
24.2 26.1
Portland, ME
28.9 24.2
Tampa Bay-St. Petersburg, FL 20.9 21.6
Long Beach-Barnegat, NJ
23.1 22.9
Wanchese-Stumpy Point, NC 21.0 20.6
Atlantic City, NJ
27.5 24.1
Point Pleasant, NJ
22.6 22.1
Beaufort-Morehead City, NC 15.0 16.9
Fort Meyers, FL
13.8 15.9
 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.
Commercial Fishing Industry Partnerships
 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.
Integrated Ocean Observing Systems
Measure variability of the fluid at space-time scales required to understand the physics
“Fish can’t overcome physics”
• Behavior, physiology & life history
tightly coupled to dynamic properties
of the fluid ocean.
NOAA FATE (2008-2010)
Prey abundance
GAM Habitat models
Intercorrelated
IOOS remote
Pelagic in situ
Benthic
Pelagic
Demersal
Frontal index = Ln(Strength of / Distance to)
Frontal index
Application
Butterfish Mortality Cap for the Loligo Fishery
Problem: Management seeks to reduce butterfish bycatch in the Loligo fishery
Integrated Bycatch Reduction Model (Squid/Butterfish)
Combining data layers
Social Data (Fishing Behavior)
Biological Data ( Abundance)
Physical Data (Water Column)
Integrated Bycatch Reduction Model (Squid/Butterfish)
Combining data layers
IOOS and CTD Data
Social Data (Fishing Behavior)
Biological Data ( Abundance)
Physical Data (Water Column)
Integrated Bycatch Reduction Model (Squid/Butterfish)
Combining data layers
NMFS Survey Data
Social Data (Fishing Behavior)
Biological Data ( Abundance)
Physical Data (Water Column)
Integrated Bycatch Reduction Model (Squid/Butterfish)
Combining data layers
Social Data (Fishing Behavior)
Improved FATE
Habitat Models
Biological Data ( Abundance)
Physical Data (Water Column)
Integrated Bycatch Reduction Model (Squid/Butterfish)
Surveys/Interviews
Fishermen Decisionmaking and Fishermen
Habitat Models
Combining data layers
Social Data (Fishing Behavior)
Biological Data ( Abundance)
Physical Data (Water Column)
Industry, Federal & Academic Partners in
An Experimental approach to butterfish bycatch reduction in the
North Atlantic Loligo fishery
Industry & Outreach
Greg DiDomenico
(GSSA)
Eleanor A. Bochenek
(Rutgers)
Physical & Biological
Fishery
Scientists/Ecologists Oceanographers
Josh Kohut (Rutgers)
John Manderson
Matt Oliver (University
(NMFS)
Olaf Jenson (Rutgers) of Delaware)
Laura Palamara (Rutgers)
Talia Young (Rutgers)
Social Scientist/Policy
Steven Gray (Rutgers)
Fisheries Management
Jason Didden (MAFMC)
Use of telemetry for fish behavior
Dewayne A. Fox
Delaware State University
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
5 Distinct Population
Segments (DPS)
• Threatened (Recommended)
– Gulf of Maine
• Endangered(Recommended)
– South Atlantic
– Carolina
– Chesapeake Bay
– New York Bight
Status Review 2007
Methods
• Sampling
Hudson River
• Monitoring
– Existing standardized
passive array
• VR2
• 6.5 year battery life
Long Island
Sound
DE Coast
www.vemco.com
– Coastal Sampling
NCCTC
Sampling Results
• 2009 n=51
– 49kg (21-93)
• 2010 n=54 (39)
– 47kg (19- >140)
Aid in Management
– 95% detected4/1within7/1
7km of shore
– 85% within state
waters
• Timing
9/20
12/3
4/1
7/1
Last Download
• Movements
• Migration paths
The Atlantic Cooperative
Telemetry Network: a
collaborative approach
to telemetry data
exchange in the eastern
United States
About acoustic telemetry…
• Historically short-term regional studies
using manual tracking techniques
– Labor intensive
– Weather dependent
– Expensive $$$$$
• New technology
–
–
–
–
Longer tag life
More information from tags
Passive receivers
Lower cost $$
With passive receivers comes…
• A way to…
– look at presence/absence in
an area
– track multiple species at a
given time
What is ACT?
• It all started with sturgeon……
• 2006 ASMFC Atlantic Sturgeon Technical
Committee Meeting
ACT Development
• 2006 - 15 researchers
• 2010 - 62 researchers
– >3700 shared transmitter
codes
ACT Current Data-Sharing
ID_Code Release_Date Expiration_Date
Tag_Type
27
7/21/2008
11/11/2010V16P-6H
28
6/28/2008
10/19/2010V16P-6H
29
6/28/2008
10/19/2010V16P-6H
30
7/21/2008
11/11/2010V16P-6H
31
6/28/2008
10/19/2010V16P-6H
32
7/2/2008
10/23/2010V16P-6H
33
7/7/2008
10/28/2010V16P-6H
34
6/30/2008
10/21/2010V16P-6H
35
7/5/2008
10/26/2010V16P-6H
36
7/2/2008
10/23/2010V16P-6H
157
8/26/2008
12/17/2010V16P-6H
158
8/26/2008
12/17/2010V16P-6H
159
8/26/2008
12/17/2010V16P-6H
160
8/26/2008
12/17/2010V16P-6H
161
8/26/2008
12/17/2010V16P-6H
162
8/26/2008
12/17/2010V16P-6H
209
6/22/2007
11/14/2009V16P-6H-S256
210
6/19/2007
11/11/2009V16P-6H-S256
Coding
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
S256
Channel
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
A69-1105
Tagging_Organi
zation
Researcher
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
DSU
Dewayne Fox
Species
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Carcharhinus taurus
Common_Name
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Sand tiger shark
Release_Location
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Delaware Bay
Researcher B
Researcher E
Researcher A
Researcher D
Researcher F
Researcher C
Planned Data Sharing
Researchers can request
information for their
tagged fish
Unknown tag codes
Researcher A
Researcher C
Researcher B
NOAA’s Integrated Ocean Observing System (IOOS®) Program
IOOS® Biological Observations Project
-Observations to Apps-
Hassan Moustahfid, PhD.
MACOORA Annual Meeting
October 28-29, 2010
Hoboken, NJ
IOOS Core Variables
®
1. Temperature
2. Salinity
3. Water level
4. Currents
5. Surface Waves
6. Surface Winds
7. Ocean color
8. Dissolved oxygen
9. pH
10. pCO2
11. Heat flux
12. Bottom character
13. Pathogens
For more details
Please visit
www.IOOS.GOV/
14. Bathymetry
15. Ice distribution Catalog
16. Contaminants
17. Stream flow
18. Dissolved nutrients
19. Optical properties
20. Total suspended matter
21. Colored dissolved organic matter
22. Fish species
23. Fish abundance
24. Zooplankton species
25. Phytoplankton species
26. Zooplankton abundance
list could be expanded based on identified needs...
33
IOOS BIOLOGICAL OBSERVATIONS PROJECT
System Concept Diagram
Consumers & Applications
Participating Resources
Web Services
Terminology
&Conventions
Data
Resources 1
Participant
Web Service
text
xml
Data
Resources 2
Database
Connection
WEB
SERVICE
kml
NetCDF
MatLab
etc.!
Data
Resources 3
Data
Extract
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
Terminology
&Conventions
dcterms / dwc
ioosbds
DwC & IOOS
XML Guidelines
FGDC / ISO
Metadata Practices
CF Conventions
34
Depth
Sea Surface Temperature
Primary production
Observations to
Fisheries Management
Decisions
Secondary production
Atl. Cod
Fish density
Red Hake
Integrated layers
for analyses
specific targeted
management
needs
Etc.!
Products to Aid
Fisheries
Management
Maps source NOAA/NEFSC
35
Thank You
Hassan Moustahfid
Hassan. [email protected]
301/427-2447
ioos.gov
“Oceans”
Backup
37
PILOT PROJECT
~50 islands and atolls
fishery independent surveys
(pres/abs/abund – reef fish)
Partners: NOAA. Fisheries, NOAA Marine Sanctuaries, Univ. of
Hawai’i, Census of Marine Life, USGS/OBIS-USA, State of Hawai’i,
National Park Services
Rapid Ecological Assessment
Fish Censuses
Stationary Point Counts
(SPC)
Towed-diver Surveys (TDS)
Consumers/Apps:
Population assessments
Monument Boundary
Exclusive Economic Zone
Courtesy of Dr. Jill Zamzow (PIFSC/CRED)
38
Data access webservice- ERDDAP
39
In-situ Data Interoperability
PROGRAM DATA
NDBC
Sensor Observation Service
1
IOOS
DATA
Web Coverage Service
& OPeNDAP
IOOS Data Standards
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
High-Frequency
Radar (HFR)
surface currents
Currents
NDBC Data Assembly Centers (DACs)
2
3
Sensor Observation Service
IOOS Data Standards
CO-OPS
National Water Level
Observation Network
4
Temperature
PORTS®
Web Coverage Service & OPeNDAP
NOAA
CoastWatch
Waves
Water
Level
Salinity
IOOS Data Standards
Satellite Ocean Color
(Aqua MODIS, Terra
MODIS, SeaWiFS)
Winds
Ocean Color
(chlorophyll)
Sensor Observation Service and others
IOOS Regions
(MACOORA, NERACOOS, others)
IOOS Data Standards
Federal, State, Local, and
Industry data
40
41
OBS. To APPS
System Concept Diagram
Data & Metadata Portals, Clearinghouse and Search
Public presence or restricted access as desired
Participating Resources
Web Services
Consumers & Applications
Search
Data
Resource
Data
Resource
Data
Resource
Terminology
& Configuration
Participant
Web Service
Human User Interactions
• Download
• Manual transfer (e.g., to Excel,
GIS, analytical applications)
text
ERRDAP
xml
kml
Database
Connection
Data Assembly
Data
Extract
namespaces:
dcterms / dwc
DwC & IOOS
XML Guidelines
ioosbds
The lightning bolt indicates where terminology
and configuration activities apply.
Technologists and data developers working for
both IOOS and participants do the
configuration.
Biological Data
Terminology
(presence/absence/
abundance)
NetCDF
MatLab
Browser Integration
• Browser-based Discovery,
Display, Mapping, Analysis
etc.!
Direct Analytical Integration
• Direct to NetCDF, MatLAB, r, etc.
graphs &
maps
Forwarding to additional web
service distribution
FGDC / ISO
Metadata Practices
CF Conventions
Key
original data
standards
web services
applications