Climate Predictions to Support Fisheries Management in a ......METHOT , MICHAEL ALEXANDER, ALISTAIR...
Transcript of Climate Predictions to Support Fisheries Management in a ......METHOT , MICHAEL ALEXANDER, ALISTAIR...
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Climate Predictions to Support Fisheries
Management in a Changing Ocean
PICES ANNUAL MEETING, VLADIVOSTOK, RUSSIA , SEPTEMBER 27 2017
DESIREE TOMMASI , UNIVERSITY OF CALIFORNIA SANTA CRUZ AND NOAA SWFSC
WITH THANKS TO CHARLES STOCK, KATHY PEGION, GABRIEL VECCHI , R ICHARD METHOT, MICHAEL ALEXANDER, AL ISTAIR HOBDAY, ISAAC KAPLAN, ANDREW PERSHING, SAMANTHA S IEDLECKI , K IRSTIN HOLSMAN, AND MANY OTHERS
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Outline • Climate effects on fisheries • Environmental considerations in fisheries decisions • Climate predictions at fishery relevant scales • Successful application of seasonal forecasts for fisheries • Challenges and future research needs
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Impacts of climate variability on fisheries
Nye et al. 2009
Distribution
Ianelli et al. 2011
Recruitment
Bjornsson et al. 2007
Walleye pollock
Growth
Red Hake
Atlantic cod
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Fisheries decisions across time scales are impacted by climate effects
Aquaculture • Extreme weather responses • Stocking/harvest time Fishing Industry • Labor and gear needs • Where/when/what to fish for Coastal Management • Beach closures (e.g. HAB’s, jellies) Fisheries Management • Fisheries closures to reduce
unwanted and incidental capture • Provision of catch advice
Tommasi et al., 2017; Progress in Oceanography
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But fisheries decisions rarely include climate or ecosystem effects
Skern-Mauritzen et al., 2016; Fish and Fisheries
• After a review of 1200 stocks worldwide, only 2% include environmental drivers in tactical management decisions
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Management frameworks generally assume productivity and distribution will be stationary
Tommasi et al., 2017; Progress in Oceanography
Prod
uctiv
ity
Para
met
er
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Implications for Management
• Static spatial and temporal closures • Ineffective if fish phenology or distribution change with varying ocean dynamics
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Implications for Management
Population Dynamics
Model
Data on catch, abundance,
biology
Stock Assessment
Model
Stock Status Estimate
Reference Points
Management Action
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Implications for Management
Population Dynamics
Model
Data on catch, abundance,
biology
Stock Assessment
Model
Stock Status Estimate
Reference Points
Management Action
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Implications for Management
Population Dynamics
Model
Data on catch, abundance,
biology
Stock Assessment
Model
Stock Status Estimate
Reference Points
Management Action
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Implications for Management
Population Dynamics
Model
Data on catch, abundance,
biology
Stock Assessment
Model
Stock Status Estimate
Reference Points
Management Action
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Challenges to integration of environmental effects into fisheries management
• No skillful forecasts of environmental conditions at the scale at which the fish operate and are managed • Emergent effects of climate on marine ecosystems are complex • Limited availability of time series for model development and validation
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Challenges to integration of environmental effects into fisheries management
• No skillful forecasts of environmental conditions at the scale at which the fish operate and are managed • Emergent effects of climate on marine ecosystems are complex • Limited availability of time series for model development and validation But things are changing…
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- Prediction models are initialized with observations - Initial value problem - Predict statistics of climate over monthly to 30 year time scales (seasonal to decadal forecast) or evolution of single weather feature at hourly to weekly timescales (weather forecast) Tommasi et al., 2017; Progress in Oceanography
Climate predictions differ from climate
projections
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Skillful predictions at fishery relevant scales
Stock et al., 2015; Progress in Oceanography; Hervieux et al., 2017; Climate Dynamics; Jacox et al., 2017; Climate Dynamics
Based on the Anomaly correlation coefficient (ACC) for SST anomalies from reforecasts during 1982- 2009
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Skillful predictions at fishery relevant scales
Tommasi et al., 2017; Frontiers in Marine Science
Skill for the probabilistic forecast of SST over the next 1-3 years being in the upper (warm) tercile based on reforecasts from 1965-2011 Forecast Accuracy = proportion correct of
a yes/no forecast of an event
Brier Score = estimate of the mean square error of the probabilistic forecast
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Skillful predictions at multi-annual scales
Tommasi et al., 2017; Frontiers in Marine Science
Except for North Atlantic LMEs, skill was due to the predictable signature of radiative forcing changes over the 50 year time period rather than prediction of evolving modes of climate variability
Brier Skill Score = Negative scores indicate no additional skill as compared to an uninitialized forecast
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Successful application of climate forecasts in fisheries management
Hobday et al. 2011, Canadian Journal of Fisheries and Aquatic Sciences
Seasonal forecasts to reduce bycatch in the Australian east coast eastern tuna and billfish fishery
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Tommasi et al. 2017, Ecological Applications
Seasonal forecasts to improve catch
advice for California sardine
Env
ironm
enta
l
C
onsid
erat
ions
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Mills et al., in prep; Tommasi et al. 2017, Progress in Oceanography
Forecast of the start of the lobster fishing season in the Gulf of
Maine
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Spillman et al. 2017, Aquaculture
Seasonal forecasts to improve prawn aquaculture farm
management
Accuracy of probabilistic forecast for maximum air temperature, minimum air temperature, and rainfall in Queensland, Australia
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Challenges and Future Research Needs • Reduction in climate model bias through improvements in model formulation and initialization
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• Verify predictability of ecosystem relevant variables at decision relevant scales beyond SST
In hot water: Columbia's sockeye salmon face mass die-off Warm water temperatures have made life 'grim' for sockeye salmon in the Pacific Northwest
Challenges and Future Research Needs
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• Develop biogeochemical prediction capabilities SEACHANGE Oyster dying as coast is hit hard A Washington family opens a hatchery in Hawaii to escape lethal waters.
Challenges and Future Research Needs
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• Develop biogeochemical prediction capabilities
Challenges and Future Research Needs
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•Unresolved local processes can limit predictability of ecosystem relevant variables
1o ocean
1/4o ocean
1/10o ocean
Saba et al., JGR, 2016
Challenges and Future Research Needs
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• Improve climate predictability at LMR-relevant regional scales through higher resolution global prediction systems or the development of downscaling frameworks
1o ocean
1/4o ocean
1/10o ocean
Saba et al., JGR, 2016
Challenges and Future Research Needs
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Challenges and Future Research Needs •Emergent effects of climate on marine ecosystems are complex • Limited availability of time series for model development and validation
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West coast fisheries hit hard by poor ocean conditions
Oregon Public Broadcasting News , October 2016
http://www.opb.org/news/article/west-coast-fisheries-hit-hard-by-poor-ocean-conditions/
Changing Nature of Ecosystem
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Recent Methodological Advances in Fisheries Models • Spatial distribution models for dynamic ocean management (Hazen, W3) • Salmon freshwater mortality forecast for in season catch advice (DFO, WG-40) • Spatio-temporal fisheries models (Thorson, S1, S3) • Ecological threshold indicators to inform fisheries management (Samhouri et al. 2017, Hunsicker S3) • Climate enhanced stock assessment models (Holsman et al. 2016, Hollowed S6)
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Thank you! [email protected]