Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine
Climate changes have increasingly driven diverse biological processes of fish and lead to non-stationary dynamics of populations. The Gulf of Maine (GOM) is vulnerable to climate change, which should be considered in fishery stock assessment and management. This study focuses on the effects of possi...
Published in: | Frontiers in Marine Science |
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Online Access: | http://dx.doi.org/10.3389/fmars.2022.845787 https://www.frontiersin.org/articles/10.3389/fmars.2022.845787/full |
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crfrontiers:10.3389/fmars.2022.845787 2024-02-11T10:01:57+01:00 Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine Chen, Ning Sun, Ming Zhang, Chongliang Ren, Yiping Chen, Yong Key Technologies Research and Development Program 2022 http://dx.doi.org/10.3389/fmars.2022.845787 https://www.frontiersin.org/articles/10.3389/fmars.2022.845787/full unknown Frontiers Media SA https://creativecommons.org/licenses/by/4.0/ Frontiers in Marine Science volume 9 ISSN 2296-7745 Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography journal-article 2022 crfrontiers https://doi.org/10.3389/fmars.2022.845787 2024-01-26T10:00:47Z Climate changes have increasingly driven diverse biological processes of fish and lead to non-stationary dynamics of populations. The Gulf of Maine (GOM) is vulnerable to climate change, which should be considered in fishery stock assessment and management. This study focuses on the effects of possible non-stationary natural mortality ( M ) on the stock assessment of Atlantic cod ( Gadus morhua ) in GOM. We evaluated different assumptions about stationary and non-stationary M driven by sea surface temperature (SST) using a simulation approach. We found that adopting non-stationary M could effectively improve the quality of stock assessment compared to the commonly used stationary assumption for the GOM cod. Non-stationary scenario assuming a non-linear relationship between SST and M had the lowest estimation errors of spawning stock biomass (SSB) and fishing mortality, and the younger and the older age groups tended to be less accurately estimated. Different assumptions in M led to diverged estimates of biological reference points and yielded large differences in the determination of stock status and development of management advices. This study highlights the importance of including non-stationary vital rates in fisheries assessment and management in response to changing ecosystems. Article in Journal/Newspaper atlantic cod Gadus morhua Frontiers (Publisher) Frontiers in Marine Science 9 |
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Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
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Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography Chen, Ning Sun, Ming Zhang, Chongliang Ren, Yiping Chen, Yong Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine |
topic_facet |
Ocean Engineering Water Science and Technology Aquatic Science Global and Planetary Change Oceanography |
description |
Climate changes have increasingly driven diverse biological processes of fish and lead to non-stationary dynamics of populations. The Gulf of Maine (GOM) is vulnerable to climate change, which should be considered in fishery stock assessment and management. This study focuses on the effects of possible non-stationary natural mortality ( M ) on the stock assessment of Atlantic cod ( Gadus morhua ) in GOM. We evaluated different assumptions about stationary and non-stationary M driven by sea surface temperature (SST) using a simulation approach. We found that adopting non-stationary M could effectively improve the quality of stock assessment compared to the commonly used stationary assumption for the GOM cod. Non-stationary scenario assuming a non-linear relationship between SST and M had the lowest estimation errors of spawning stock biomass (SSB) and fishing mortality, and the younger and the older age groups tended to be less accurately estimated. Different assumptions in M led to diverged estimates of biological reference points and yielded large differences in the determination of stock status and development of management advices. This study highlights the importance of including non-stationary vital rates in fisheries assessment and management in response to changing ecosystems. |
author2 |
Key Technologies Research and Development Program |
format |
Article in Journal/Newspaper |
author |
Chen, Ning Sun, Ming Zhang, Chongliang Ren, Yiping Chen, Yong |
author_facet |
Chen, Ning Sun, Ming Zhang, Chongliang Ren, Yiping Chen, Yong |
author_sort |
Chen, Ning |
title |
Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine |
title_short |
Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine |
title_full |
Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine |
title_fullStr |
Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine |
title_full_unstemmed |
Non-stationary Natural Mortality Influencing the Stock Assessment of Atlantic Cod (Gadus morhua) in a Changing Gulf of Maine |
title_sort |
non-stationary natural mortality influencing the stock assessment of atlantic cod (gadus morhua) in a changing gulf of maine |
publisher |
Frontiers Media SA |
publishDate |
2022 |
url |
http://dx.doi.org/10.3389/fmars.2022.845787 https://www.frontiersin.org/articles/10.3389/fmars.2022.845787/full |
genre |
atlantic cod Gadus morhua |
genre_facet |
atlantic cod Gadus morhua |
op_source |
Frontiers in Marine Science volume 9 ISSN 2296-7745 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3389/fmars.2022.845787 |
container_title |
Frontiers in Marine Science |
container_volume |
9 |
_version_ |
1790597841873272832 |