Northeast Cooperative Research Fishery Data & Real Time Oceanographic Products --- “Fishermen, “Choke Species” and surviving endangered species act listings. Presented by John J. Hoey, Ph.D. Director, Cooperative Research Program NMFS - Northeast Fisheries Science Center Woods Hole, Mass. & 2012 MARACOOS Meeting Baltimore, MD
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Northeast Cooperative Research Fishery Data & Real Time Oceanographic Products --- “Fishermen, “Choke Species” and surviving endangered species act listings.
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Northeast Cooperative Research
Fishery Data & Real Time Oceanographic Products --- “Fishermen, “Choke Species”
and surviving endangered species act listings.
Presented by John J. Hoey, Ph.D. Director, Cooperative Research Program NMFS - Northeast Fisheries Science Center Woods Hole, Mass. & Narragansett, RI
2012 MARACOOS Meeting Baltimore, MD
2
Cooperative Research Goals
Improve the data upon which fishery management decisions are made,
Foster coordination, cooperation, communication, and mutual respect among scientists, managers, and industry.
Scientific Objectives:• Improve precision of analytical stock assessments and address
concerns about bias in sampling.• Fill Data Gaps.• Improve the temporal and spatial resolution of multi-species
catch (haul based), gear performance, and life history data to support more timely analysis of a greater diversity of management options.
3
Fishery Independent Surveys
Federal, State, and Industry Based Surveys complement each other. Increased interest in additional trawl and non-trawl surveys thatexplicitly consider habitat and ecosystem characteristics.
Fishery Dependent DataAnnual trip and haul observation totals for Observer
and Study Fleet fishery dependent data
Total otter trawl trips and hauls 2007-2011NEFOP Trips SF Trips NEFOP Hauls SF Hauls
NE Study Fleet - Post-processing of GPS and temperature-depth data
•By combining the GPS polling data with the TD probe data we can determine the location and timing of fishing effort from which the time-of-day, haul duration, haul location, distance fished, haul depth and water temperature can be determined.
Feedback - industry data access -
Observer vs ELB Weight ComparisonsObserver vs ELB Weight Discard, Haul Level,
Binned by # of Months in SF
ELB Weight (log +1)
OB
S W
eig
ht (
log
+1
)
0
2
4
6
8
10
n= 1553
sd= 738.49
Mean= 257.53
1
2 4 6 8
n= 344
sd= 1223.77
Mean= 421.17
2
n= 132
sd= 550.27
Mean= 241.9
3
2 4 6 8
n= 547
sd= 451.27
Mean= 192.4
4
0
2
4
6
8
10
n= 519
sd= 571.58
Mean= 226.47
5
Months0-66-1212-1818-2424+
Observer vs ELB Weight Kept, Haul Level, Binned by # of Months in SF
ELB Weight (log +1)
OB
S W
eig
ht (
log
+1
)
0
2
4
6
8
n= 140
sd= 348.62
Mean= 164.63
1
2 4 6 8
n= 346
sd= 258.17
Mean= 107.86
2
n= 120
sd= 988.29
Mean= 330.96
3
2 4 6 8
n= 337
sd= 99.18
Mean= 41.89
4
0
2
4
6
8
n= 403
sd= 517.96
Mean= 155.31
5
Months0-66-1212-1818-2424+
Data Confidentiality Restrictions
A COMPARISON OF STUDY FLEET (SF) AND NEFOP/ASM OBSERVER COVERAGE IN COASTAL STATISTICAL AREA: 2008-
Present
Comparison of total Study Fleet otter trawl hauls to Study Fleet hauls with Yellowtail flounder catch 2009.
All study fleet hauls 2009 SNE & GEB
Positive YTF hauls 2009 SNE& GEB
•
Analyzing haul specific data to support avoidance of ACL limited stocks
2009 2010
2011
MAY
JUNE2009 2010
2011
2009 2010
2011
JULY
AUGUST2009 2010
2011
Thoughts for consideration
• Accuracy in terms of time and location provide leveraging opportunities for ecosystem data (tides, lunar cycles, etc.) which can improve the utility of maps and may better reflect fishermen’s local ecological - operational knowledge.
1. Observer data – Begin set – End haul – bottom temp observations are rare.
2. Study Fleet data – GPS polling and TD probes joined at 90 second intervals.
3. Data acquisition and QA/QC delays can be very significant.
4. Electronic logbooks can capture large volumes of haul specific data rapidly.
• Turn-around time and map detail are critical system design issues.
• More detailed information will support more detailed maps and other uses (e.g. discard estimation, Fishery dependent CPUE, sub-stock structure). Self-reported data quality must be verified.
• A critical limitation or challenge for existing systems includes greater gear detail – relative to discard rates for new nets (accountability).
• Industry likely interested in bottom temp forecasts at nautical sq mile spatial scales so that decisions on locations can avoid predicted hot spots for quota limited stocks.