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Using a climate attribution statistic to inform judgments about changing fisheries sustainability
by
Malick, Michael J.
, Litzow, Michael A.
, Abookire, Alisa A.
, Rogers, Lauren A.
, Duffy-Anderson, Janet
, Laurel, Benjamin J.
, Ressler, Patrick H.
in
631/158/2165
/ 631/158/2458
/ 704/106/694/2739
/ Anthropogenic factors
/ Bayesian analysis
/ Climate adaptation
/ Climate change
/ Climate prediction
/ Fish populations
/ Fisheries
/ Fisheries management
/ Gadus macrocephalus
/ Human influences
/ Humanities and Social Sciences
/ Mathematical models
/ multidisciplinary
/ Ocean temperature
/ Recruitment
/ Regression analysis
/ Science
/ Science (multidisciplinary)
/ Sustainability
/ Sustainable fisheries
2021
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Using a climate attribution statistic to inform judgments about changing fisheries sustainability
by
Malick, Michael J.
, Litzow, Michael A.
, Abookire, Alisa A.
, Rogers, Lauren A.
, Duffy-Anderson, Janet
, Laurel, Benjamin J.
, Ressler, Patrick H.
in
631/158/2165
/ 631/158/2458
/ 704/106/694/2739
/ Anthropogenic factors
/ Bayesian analysis
/ Climate adaptation
/ Climate change
/ Climate prediction
/ Fish populations
/ Fisheries
/ Fisheries management
/ Gadus macrocephalus
/ Human influences
/ Humanities and Social Sciences
/ Mathematical models
/ multidisciplinary
/ Ocean temperature
/ Recruitment
/ Regression analysis
/ Science
/ Science (multidisciplinary)
/ Sustainability
/ Sustainable fisheries
2021
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Do you wish to request the book?
Using a climate attribution statistic to inform judgments about changing fisheries sustainability
by
Malick, Michael J.
, Litzow, Michael A.
, Abookire, Alisa A.
, Rogers, Lauren A.
, Duffy-Anderson, Janet
, Laurel, Benjamin J.
, Ressler, Patrick H.
in
631/158/2165
/ 631/158/2458
/ 704/106/694/2739
/ Anthropogenic factors
/ Bayesian analysis
/ Climate adaptation
/ Climate change
/ Climate prediction
/ Fish populations
/ Fisheries
/ Fisheries management
/ Gadus macrocephalus
/ Human influences
/ Humanities and Social Sciences
/ Mathematical models
/ multidisciplinary
/ Ocean temperature
/ Recruitment
/ Regression analysis
/ Science
/ Science (multidisciplinary)
/ Sustainability
/ Sustainable fisheries
2021
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Using a climate attribution statistic to inform judgments about changing fisheries sustainability
Journal Article
Using a climate attribution statistic to inform judgments about changing fisheries sustainability
2021
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Overview
Sustainability—maintaining catches within the historical range of socially and ecologically acceptable values—is key to fisheries success. Climate change may rapidly threaten sustainability, and recognizing these instances is important for effective climate adaptation. Here, we present one approach for evaluating changing sustainability under a changing climate. We use Bayesian regression models to compare fish population processes under historical climate norms and emerging anthropogenic extremes. To define anthropogenic extremes we use the Fraction of Attributable Risk (FAR), which estimates the proportion of risk for extreme ocean temperatures that can be attributed to human influence. We illustrate our approach with estimates of recruitment (production of young fish, a key determinant of sustainability) for two exploited fishes (Pacific cod
Gadus macrocephalus
and walleye pollock
G. chalcogrammus
) in a rapidly warming ecosystem, the Gulf of Alaska. We show that recruitment distributions for both species have shifted towards zero during anthropogenic climate extremes. Predictions based on the projected incidence of anthropogenic temperature extremes indicate that expected recruitment, and therefore fisheries sustainability, is markedly lower in the current climate than during recent decades. Using FAR to analyze changing population processes may help fisheries managers and stakeholders to recognize situations when historical sustainability expectations should be reevaluated.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
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