INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING

We present a framework for evaluating the cause of fishery declines by integrating covariates into a fisheries stock assessment model. This allows the evaluation of fisheries' effects vs. natural and other human impacts. The analyses presented are based on integrating ecological science and sta...

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Published in:Ecological Applications
Main Authors: Deriso, Richard B., Maunder, Mark N., Pearson, Walter H.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2008
Subjects:
Online Access:http://dx.doi.org/10.1890/07-0708.1
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spelling crwiley:10.1890/07-0708.1 2024-06-23T07:56:13+00:00 INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING Deriso, Richard B. Maunder, Mark N. Pearson, Walter H. 2008 http://dx.doi.org/10.1890/07-0708.1 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1890%2F07-0708.1 https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/07-0708.1 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Ecological Applications volume 18, issue 5, page 1270-1286 ISSN 1051-0761 1939-5582 journal-article 2008 crwiley https://doi.org/10.1890/07-0708.1 2024-06-04T06:45:53Z We present a framework for evaluating the cause of fishery declines by integrating covariates into a fisheries stock assessment model. This allows the evaluation of fisheries' effects vs. natural and other human impacts. The analyses presented are based on integrating ecological science and statistics and form the basis for environmental decision‐making advice. Hypothesis tests are described to rank hypotheses and determine the size of a multiple covariate model. We extend recent developments in integrated analysis and use novel methods to produce effect size estimates that are relevant to policy makers and include estimates of uncertainty. Results can be directly applied to evaluate trade‐offs among alternative management decisions. The methods and results are also broadly applicable outside fisheries stock assessment. We show that multiple factors influence populations and that analysis of factors in isolation can be misleading. We illustrate the framework by applying it to Pacific herring of Prince William Sound, Alaska (USA). The Pacific herring stock that spawns in Prince William Sound is a stock that has collapsed, but there are several competing or alternative hypotheses to account for the initial collapse and subsequent lack of recovery. Factors failing the initial screening tests for statistical significance included indicators of the 1989 Exxon Valdez oil spill, coho salmon predation, sea lion predation, Pacific Decadal Oscillation, Northern Oscillation Index, and effects of containment in the herring egg‐on‐kelp pound fishery. The overall results indicate that the most statistically significant factors related to the lack of recovery of the herring stock involve competition or predation by juvenile hatchery pink salmon on herring juveniles. Secondary factors identified in the analysis were poor nutrition in the winter, ocean (Gulf of Alaska) temperature in the winter, the viral hemorrhagic septicemia virus, and the pathogen Ichthyophonus hoferi . The implication of this result to fisheries management ... Article in Journal/Newspaper Pink salmon Alaska Wiley Online Library Gulf of Alaska Pacific Ecological Applications 18 5 1270 1286
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description We present a framework for evaluating the cause of fishery declines by integrating covariates into a fisheries stock assessment model. This allows the evaluation of fisheries' effects vs. natural and other human impacts. The analyses presented are based on integrating ecological science and statistics and form the basis for environmental decision‐making advice. Hypothesis tests are described to rank hypotheses and determine the size of a multiple covariate model. We extend recent developments in integrated analysis and use novel methods to produce effect size estimates that are relevant to policy makers and include estimates of uncertainty. Results can be directly applied to evaluate trade‐offs among alternative management decisions. The methods and results are also broadly applicable outside fisheries stock assessment. We show that multiple factors influence populations and that analysis of factors in isolation can be misleading. We illustrate the framework by applying it to Pacific herring of Prince William Sound, Alaska (USA). The Pacific herring stock that spawns in Prince William Sound is a stock that has collapsed, but there are several competing or alternative hypotheses to account for the initial collapse and subsequent lack of recovery. Factors failing the initial screening tests for statistical significance included indicators of the 1989 Exxon Valdez oil spill, coho salmon predation, sea lion predation, Pacific Decadal Oscillation, Northern Oscillation Index, and effects of containment in the herring egg‐on‐kelp pound fishery. The overall results indicate that the most statistically significant factors related to the lack of recovery of the herring stock involve competition or predation by juvenile hatchery pink salmon on herring juveniles. Secondary factors identified in the analysis were poor nutrition in the winter, ocean (Gulf of Alaska) temperature in the winter, the viral hemorrhagic septicemia virus, and the pathogen Ichthyophonus hoferi . The implication of this result to fisheries management ...
format Article in Journal/Newspaper
author Deriso, Richard B.
Maunder, Mark N.
Pearson, Walter H.
spellingShingle Deriso, Richard B.
Maunder, Mark N.
Pearson, Walter H.
INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING
author_facet Deriso, Richard B.
Maunder, Mark N.
Pearson, Walter H.
author_sort Deriso, Richard B.
title INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING
title_short INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING
title_full INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING
title_fullStr INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING
title_full_unstemmed INCORPORATING COVARIATES INTO FISHERIES STOCK ASSESSMENT MODELS WITH APPLICATION TO PACIFIC HERRING
title_sort incorporating covariates into fisheries stock assessment models with application to pacific herring
publisher Wiley
publishDate 2008
url http://dx.doi.org/10.1890/07-0708.1
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1890%2F07-0708.1
https://esajournals.onlinelibrary.wiley.com/doi/pdf/10.1890/07-0708.1
geographic Gulf of Alaska
Pacific
geographic_facet Gulf of Alaska
Pacific
genre Pink salmon
Alaska
genre_facet Pink salmon
Alaska
op_source Ecological Applications
volume 18, issue 5, page 1270-1286
ISSN 1051-0761 1939-5582
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1890/07-0708.1
container_title Ecological Applications
container_volume 18
container_issue 5
container_start_page 1270
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