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...
Published in: | Ecological Applications |
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Online Access: | 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 |
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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 |
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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 |
op_container_end_page |
1286 |
_version_ |
1802649185108885504 |