Applicability of the current stock assessment models to the priority azorean fishery resources
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.3/6669 |
Resumo: | This work presents a guidance to conduct stock assessment based on ICES Maximum Sustainable Yield framework. A cross-analysis based on the models’ assumptions and inputs and data available for 22 Azorean priority stocks was performed to assess the applicability of each model to each stock. Information currently available for coastal and some demersal/deep-water stocks limits the use of most models validated by ICES. Only four demersal/deep-water stocks (Pagellus bogaraveo, Helicolenus dactylopterus, Phycis phycis, and Pontinus kuhlii) have data availability and quality enough to perform trend analysis, length-based and catch and survey-based methods. The next steps involve validating life-history parameters, evaluating model performances, and applying alternative tools for data-deficient stocks. Additional monitoring programs are of utmost importance, which must collect missing information and clarify stock delimitation to improve assessment quality. This study guides future stock assessment actions and highlights data gaps where future research should focus. |
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Applicability of the current stock assessment models to the priority azorean fishery resourcesCoastalCommercial SpeciesDemersalICES MSY FrameworkPriority StocksThis work presents a guidance to conduct stock assessment based on ICES Maximum Sustainable Yield framework. A cross-analysis based on the models’ assumptions and inputs and data available for 22 Azorean priority stocks was performed to assess the applicability of each model to each stock. Information currently available for coastal and some demersal/deep-water stocks limits the use of most models validated by ICES. Only four demersal/deep-water stocks (Pagellus bogaraveo, Helicolenus dactylopterus, Phycis phycis, and Pontinus kuhlii) have data availability and quality enough to perform trend analysis, length-based and catch and survey-based methods. The next steps involve validating life-history parameters, evaluating model performances, and applying alternative tools for data-deficient stocks. Additional monitoring programs are of utmost importance, which must collect missing information and clarify stock delimitation to improve assessment quality. This study guides future stock assessment actions and highlights data gaps where future research should focus.This study is part of the PESCAz project (ref. MAR-01.03.02-FEAMP-0039) financed by the European Maritime and Fisheries Fund (EMFF) through the Regional Government of the Azores under the MAR2020 operational program.Universidade dos AçoresRepositório da Universidade dos AçoresLeal, Wendell MedeirosPinho, Mário RuiSantos, Régis2023-03-25T18:13:25Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/6669engMedeiros-Leal, W., M. Pinho and Régis Santos (2022). Applicability of the current stock assessment models to the priority azorean fishery resources. “Arquipelago. Life and Marine Sciences”, 38: 7-16. https://doi.org/10.25752/arq.26536.0873-470410.25752/arq.265362182-9799info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-04-01T02:00:39Zoai:repositorio.uac.pt:10400.3/6669Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:48:12.706099Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Applicability of the current stock assessment models to the priority azorean fishery resources |
title |
Applicability of the current stock assessment models to the priority azorean fishery resources |
spellingShingle |
Applicability of the current stock assessment models to the priority azorean fishery resources Leal, Wendell Medeiros Coastal Commercial Species Demersal ICES MSY Framework Priority Stocks |
title_short |
Applicability of the current stock assessment models to the priority azorean fishery resources |
title_full |
Applicability of the current stock assessment models to the priority azorean fishery resources |
title_fullStr |
Applicability of the current stock assessment models to the priority azorean fishery resources |
title_full_unstemmed |
Applicability of the current stock assessment models to the priority azorean fishery resources |
title_sort |
Applicability of the current stock assessment models to the priority azorean fishery resources |
author |
Leal, Wendell Medeiros |
author_facet |
Leal, Wendell Medeiros Pinho, Mário Rui Santos, Régis |
author_role |
author |
author2 |
Pinho, Mário Rui Santos, Régis |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade dos Açores |
dc.contributor.author.fl_str_mv |
Leal, Wendell Medeiros Pinho, Mário Rui Santos, Régis |
dc.subject.por.fl_str_mv |
Coastal Commercial Species Demersal ICES MSY Framework Priority Stocks |
topic |
Coastal Commercial Species Demersal ICES MSY Framework Priority Stocks |
description |
This work presents a guidance to conduct stock assessment based on ICES Maximum Sustainable Yield framework. A cross-analysis based on the models’ assumptions and inputs and data available for 22 Azorean priority stocks was performed to assess the applicability of each model to each stock. Information currently available for coastal and some demersal/deep-water stocks limits the use of most models validated by ICES. Only four demersal/deep-water stocks (Pagellus bogaraveo, Helicolenus dactylopterus, Phycis phycis, and Pontinus kuhlii) have data availability and quality enough to perform trend analysis, length-based and catch and survey-based methods. The next steps involve validating life-history parameters, evaluating model performances, and applying alternative tools for data-deficient stocks. Additional monitoring programs are of utmost importance, which must collect missing information and clarify stock delimitation to improve assessment quality. This study guides future stock assessment actions and highlights data gaps where future research should focus. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022 2022-01-01T00:00:00Z 2023-03-25T18:13:25Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.3/6669 |
url |
http://hdl.handle.net/10400.3/6669 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Medeiros-Leal, W., M. Pinho and Régis Santos (2022). Applicability of the current stock assessment models to the priority azorean fishery resources. “Arquipelago. Life and Marine Sciences”, 38: 7-16. https://doi.org/10.25752/arq.26536. 0873-4704 10.25752/arq.26536 2182-9799 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade dos Açores |
publisher.none.fl_str_mv |
Universidade dos Açores |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799131565076250624 |