Role of IOOS in fisheries science and management?

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Role of IOOS in fisheries science and management? Power of IOOS data Models of fish distribution & abu Models useful for management Future applications

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Role of IOOS in fisheries science and management?. Power of IOOS data Models of fish distribution & abundance Models useful for management Future applications. What can we measure without going to sea that fish “care” about?. Multivariate Analysis Final Environmental Variables Used. - PowerPoint PPT Presentation

Transcript of Role of IOOS in fisheries science and management?

Page 1: Role of IOOS in fisheries science and management?

Role of IOOS in fisheries science and management?

Power of IOOS data

Models of fish distribution & abundance

Models useful for management

Future applications

Page 2: Role of IOOS in fisheries science and management?

What can we measure without going to sea that fish “care” about?

Page 3: Role of IOOS in fisheries science and management?

Benthic

Depth (log-transformed)Profile curvatureSlope (residuals vs. depth)Sediment grain size

IOOS

SST488 nm reflectance551 nm reflectance (residuals vs. 488 nm)Cross-shore velocityVariance in cross-shore velocityDivergence trend

Mixed-layer depthSimpson’s PE (limited to top 30 m)Bottom tempBottom salinity (residuals vs. depth)

CTD

Multivariate AnalysisFinal Environmental Variables Used

Page 4: Role of IOOS in fisheries science and management?

TempDepth

551 nm resids

Page 5: Role of IOOS in fisheries science and management?

Statistical models of fish-habitat association

Benthic Depth (log-transformed)

Profile curvatureSlope (residuals vs. depth)Sediment grain size

IOOSSST488 nm reflectance551 nm reflectance (residuals vs. 488 nm)Cross-shore velocityVariance in cross-shore velocityDivergence trend

CTDMixed-layer depthSimpson’s PE (limited to top 30 m)Bottom tempBottom salinity (residuals vs. depth)

CTD

Habitat data

Example: Longfin squid (live one year) Prey for fish, seabirds, sharks, seals, whales Predator of young stages of fish & crabs (eat ~500,000 tons of prey yr; ~33 x annual production of Fluke)

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CPUE= bottom temperature + sediment grain size + current divergence + N488 radiance +(depth x SST) + (cross x along shelf current v)

Preliminary squid model (adjusted R2 = 0.85)IOOS Increased model power ~12-20%

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Divergence

HF radarDivergence potential

Longfin squid

Test in IOOS informed studies of habitat on movement, growth, mortality & reproductive rates

Hypothesis: Upwelling & 1’+2’ production => high squid growth & size dependent survival?

upwelling

downwelling

HF radar divergence & upwelling-downwelling potentialUpwelling

Down welling

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Models useful for Fisheries Management, stock assessement, spatial planning?

• Need natural (& fishing) mortalities for stock assessments– Spiny dogfish may eat 25,000 to 120,000 tons of squid a year.

(Fishery harvest in 2007: 12,300 tons) – IOOS informed models of dogfish, squid distributions & habitat specific encounter rates. Where/when is natural mortality likely to be high?

• Bycatch of butterfish in squid fishery– Under what habitat conditions do squid & butterfish co-occur? – Use IOOS to tell squid fisherman where to fish

avoid large butterfish bycatch.

Two examples:

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TemperatureSalinity

bb(532)/c(532)

Optical backscatterbb532

Ecosystem Monitoring:Cold pool dynamics, Climate change &

Fish Recruitment

Recruitment of some species in MAB tied to Cold Pool Dynamics (e.g. yellowtail flounder, surf clams)

Timing of Cold Pool turnover & bottom warming may affect survival of early stages of some MAB species.What are the mechanisms?

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• Online survey (43 Atlantic coast scientists & managers)

• Presentation to MAFMC (June 2009)

• Coordination with SSC

• Interviews about current research needs

Relevance to Resource Management?