Applicability of the current stock assessment models to the priority azorean fishery resources

Detalhes bibliográficos
Autor(a) principal: Leal, Wendell Medeiros
Data de Publicação: 2022
Outros Autores: Pinho, Mário Rui, Santos, Régis
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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spelling 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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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