Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application
Pandalus species display the following features that make it difficult to apply traditional age-based stock assessment models: (i) difficulty of determining age in the absence of hard parts retained through the molt; (ii) sex change in which individuals mature first as males and then transform to fe...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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crcansciencepubl:10.1139/cjfas-2016-0020 2024-09-15T18:29:08+00:00 Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application Cao, Jie Chen, Yong Richards, R. Anne 2017 http://dx.doi.org/10.1139/cjfas-2016-0020 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2016-0020 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2016-0020 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 74, issue 3, page 349-362 ISSN 0706-652X 1205-7533 journal-article 2017 crcansciencepubl https://doi.org/10.1139/cjfas-2016-0020 2024-08-08T04:13:33Z Pandalus species display the following features that make it difficult to apply traditional age-based stock assessment models: (i) difficulty of determining age in the absence of hard parts retained through the molt; (ii) sex change in which individuals mature first as males and then transform to females; and (iii) potentially strong influence of environmental conditions on recruitment population dynamics. In this context, we propose a seasonal, size-structured assessment model dedicated to stock assessment of hermaphroditic Pandalidae. The modeling framework incorporates a submodel for changes of length at sex transformation and functions to incorporate environmental effects on recruitment dynamics. The model can be directly fitted to length-structured data, overcoming the length to age conversion problem. The model has a seasonal time step that allows it to account for seasonal variations in biological processes and fishing patterns. The model provides stock assessment outputs, such as fishing mortality and stock biomass estimates, and sex-specific abundance-at-length. The model is applied to the exploited shrimp stock of Pandalus borealis in the Gulf of Maine as an example of its utility. The model proposed in this study is flexible and generic and can be applied to many other exploited stocks. Article in Journal/Newspaper Pandalus borealis Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences 74 3 349 362 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
description |
Pandalus species display the following features that make it difficult to apply traditional age-based stock assessment models: (i) difficulty of determining age in the absence of hard parts retained through the molt; (ii) sex change in which individuals mature first as males and then transform to females; and (iii) potentially strong influence of environmental conditions on recruitment population dynamics. In this context, we propose a seasonal, size-structured assessment model dedicated to stock assessment of hermaphroditic Pandalidae. The modeling framework incorporates a submodel for changes of length at sex transformation and functions to incorporate environmental effects on recruitment dynamics. The model can be directly fitted to length-structured data, overcoming the length to age conversion problem. The model has a seasonal time step that allows it to account for seasonal variations in biological processes and fishing patterns. The model provides stock assessment outputs, such as fishing mortality and stock biomass estimates, and sex-specific abundance-at-length. The model is applied to the exploited shrimp stock of Pandalus borealis in the Gulf of Maine as an example of its utility. The model proposed in this study is flexible and generic and can be applied to many other exploited stocks. |
format |
Article in Journal/Newspaper |
author |
Cao, Jie Chen, Yong Richards, R. Anne |
spellingShingle |
Cao, Jie Chen, Yong Richards, R. Anne Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application |
author_facet |
Cao, Jie Chen, Yong Richards, R. Anne |
author_sort |
Cao, Jie |
title |
Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application |
title_short |
Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application |
title_full |
Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application |
title_fullStr |
Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application |
title_full_unstemmed |
Improving assessment of Pandalus stocks using a seasonal, size-structured assessment model with environmental variables. Part I: Model description and application |
title_sort |
improving assessment of pandalus stocks using a seasonal, size-structured assessment model with environmental variables. part i: model description and application |
publisher |
Canadian Science Publishing |
publishDate |
2017 |
url |
http://dx.doi.org/10.1139/cjfas-2016-0020 http://www.nrcresearchpress.com/doi/full-xml/10.1139/cjfas-2016-0020 http://www.nrcresearchpress.com/doi/pdf/10.1139/cjfas-2016-0020 |
genre |
Pandalus borealis |
genre_facet |
Pandalus borealis |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 74, issue 3, page 349-362 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/cjfas-2016-0020 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
74 |
container_issue |
3 |
container_start_page |
349 |
op_container_end_page |
362 |
_version_ |
1810470546107793408 |