A state-space approach for detecting growth variation and application to North Pacific groundfish
Understanding demographic variation in recruitment and somatic growth is key to improving our understanding of population dynamics and forecasting ability. Although recruitment variability has been extensively studied, somatic growth variation has received less attention, in part because of difficul...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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Language: | English |
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Online Access: | http://dx.doi.org/10.1139/cjfas-2014-0558 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2014-0558 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2014-0558 |
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crcansciencepubl:10.1139/cjfas-2014-0558 2024-09-09T19:33:48+00:00 A state-space approach for detecting growth variation and application to North Pacific groundfish Stawitz, Christine C. Essington, Timothy E. Branch, Trevor A. Haltuch, Melissa A. Hollowed, Anne B. Spencer, Paul D. 2015 http://dx.doi.org/10.1139/cjfas-2014-0558 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2014-0558 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2014-0558 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 72, issue 9, page 1316-1328 ISSN 0706-652X 1205-7533 journal-article 2015 crcansciencepubl https://doi.org/10.1139/cjfas-2014-0558 2024-08-08T04:13:34Z Understanding demographic variation in recruitment and somatic growth is key to improving our understanding of population dynamics and forecasting ability. Although recruitment variability has been extensively studied, somatic growth variation has received less attention, in part because of difficulties in modeling growth from individual size-at-age estimates. Here we develop a Bayesian state-space approach to test for the prevalence of alternative forms of growth rate variability (e.g., annual, cohort-level, or in the first year recruited to the fishery) in size-at-age data. We apply this technique to 29 Pacific groundfish species across the California Current, Gulf of Alaska, and Bering Sea – Aleutian Islands marine ecosystems. About 40% of modeled stocks were estimated to exhibit temporal growth variation. In the majority of stocks, growth trends fluctuated annually across ages in a single year, suggesting that either there are shared environmental features that dictate growth across multiple ages or the presence of some systematic (within-year) observation errors. This method represents a novel way to use size-at-age data from fishery or other sources to test hypotheses about growth dynamics variability. Article in Journal/Newspaper Bering Sea Alaska Aleutian Islands Canadian Science Publishing Bering Sea Gulf of Alaska Pacific Canadian Journal of Fisheries and Aquatic Sciences 72 9 1316 1328 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
description |
Understanding demographic variation in recruitment and somatic growth is key to improving our understanding of population dynamics and forecasting ability. Although recruitment variability has been extensively studied, somatic growth variation has received less attention, in part because of difficulties in modeling growth from individual size-at-age estimates. Here we develop a Bayesian state-space approach to test for the prevalence of alternative forms of growth rate variability (e.g., annual, cohort-level, or in the first year recruited to the fishery) in size-at-age data. We apply this technique to 29 Pacific groundfish species across the California Current, Gulf of Alaska, and Bering Sea – Aleutian Islands marine ecosystems. About 40% of modeled stocks were estimated to exhibit temporal growth variation. In the majority of stocks, growth trends fluctuated annually across ages in a single year, suggesting that either there are shared environmental features that dictate growth across multiple ages or the presence of some systematic (within-year) observation errors. This method represents a novel way to use size-at-age data from fishery or other sources to test hypotheses about growth dynamics variability. |
format |
Article in Journal/Newspaper |
author |
Stawitz, Christine C. Essington, Timothy E. Branch, Trevor A. Haltuch, Melissa A. Hollowed, Anne B. Spencer, Paul D. |
spellingShingle |
Stawitz, Christine C. Essington, Timothy E. Branch, Trevor A. Haltuch, Melissa A. Hollowed, Anne B. Spencer, Paul D. A state-space approach for detecting growth variation and application to North Pacific groundfish |
author_facet |
Stawitz, Christine C. Essington, Timothy E. Branch, Trevor A. Haltuch, Melissa A. Hollowed, Anne B. Spencer, Paul D. |
author_sort |
Stawitz, Christine C. |
title |
A state-space approach for detecting growth variation and application to North Pacific groundfish |
title_short |
A state-space approach for detecting growth variation and application to North Pacific groundfish |
title_full |
A state-space approach for detecting growth variation and application to North Pacific groundfish |
title_fullStr |
A state-space approach for detecting growth variation and application to North Pacific groundfish |
title_full_unstemmed |
A state-space approach for detecting growth variation and application to North Pacific groundfish |
title_sort |
state-space approach for detecting growth variation and application to north pacific groundfish |
publisher |
Canadian Science Publishing |
publishDate |
2015 |
url |
http://dx.doi.org/10.1139/cjfas-2014-0558 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2014-0558 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2014-0558 |
geographic |
Bering Sea Gulf of Alaska Pacific |
geographic_facet |
Bering Sea Gulf of Alaska Pacific |
genre |
Bering Sea Alaska Aleutian Islands |
genre_facet |
Bering Sea Alaska Aleutian Islands |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 72, issue 9, page 1316-1328 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/cjfas-2014-0558 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
72 |
container_issue |
9 |
container_start_page |
1316 |
op_container_end_page |
1328 |
_version_ |
1809903349801156608 |