Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal

Detalhes bibliográficos
Autor(a) principal: Izquierdo, Francisco
Data de Publicação: 2022
Outros Autores: Menezes, Raquel, Wise, Laura, Teles-Machado, Ana, Garrido, Susana
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/82542
Resumo: The data that support the findings of this study are available from the Portuguese fisheries authority “DGRM - Direcção Geral dos Recursos Marinhos, Segurança e Serviços Marinhos”. Restrictions apply to the availability of these data, which were used under license for this study. Data are available from Susana Garrido with the permission of DGRM.
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spelling Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugalbayesian hierarchical spatio-temporal models (BHSTM)integrated nested Laplace approximation (INLA)relative biomassAtlantic OceanBayesian hierarchical spatio- models (BHSTM)spatialtemporalCiências Naturais::MatemáticasCiências Naturais::Ciências da Terra e do AmbienteScience & TechnologyProdução e consumo sustentáveisProteger a vida marinhaThe data that support the findings of this study are available from the Portuguese fisheries authority “DGRM - Direcção Geral dos Recursos Marinhos, Segurança e Serviços Marinhos”. Restrictions apply to the availability of these data, which were used under license for this study. Data are available from Susana Garrido with the permission of DGRM.Understanding the key factors influencing population dynamics of fish stocks requires knowledge of their spatial distribution and seasonal habitat selection, but these spatio- temporal dynamics are often not explicitly included in ecological studies and stock assessment models. This study standardized the data of sardine fishery-dependent catch-per-unit- effort (CPUE) from the west coast of Portugal using Bayesian hierarchical spatio-temporal models (BHSTM) with the integrated nested Laplace approximation (INLA). Sardine CPUE was best explained by length of the vessel, vessel ID, month, year, and location (latitude, longitude). In terms of spatio-temporal distribution, sardine biomass prediction maps showed a constant pattern that changed every quarter of the year. In addition, sardine CPUE index showed a cyclical trend along the year with minimum values in July and maximum peak in November. This approach provided insights on variables and corresponding modelling effects that may be relevant in spatio-temporal fishery-dependent data standardization, and that could be applied to other fish species and areas.The authors would like to express their gratitude to the Portuguese fisheries authority “DGRM – Direcção Geral dos Recursos Marinhos, Segurança e Serviços Marinhos” for providing Logbook and VMS data. In addition, FI would like to thank Iosu Paradinas and Maria Grazia Pennino for their guidance on modelling issues and also the IMPRESS project (RTI2018-099868-B-I00). This study is a contribution to the FCT project PTDC/MAT-STA/28243/2017 and project SARDINHA2020 (PO Mar2020, MAR-01.04.02-FEAMP-0009).WileyUniversidade do MinhoIzquierdo, FranciscoMenezes, RaquelWise, LauraTeles-Machado, AnaGarrido, Susana2022-05-182022-05-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/82542engIzquierdo, F., Menezes, R., Wise, L., Teles-Machado, A. & Garrido, S. (2022). Bayesian spatio-temporal CPUE standardization: Case study of European sardine (Sardina pilchardus) along the western coast of Portugal. Fisheries Management and Ecology, 29, 670– 680. https://doi.org/10.1111/fme.125560969-997X1365-240010.1111/fme.12556https://onlinelibrary.wiley.com/doi/10.1111/fme.12556info: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:RCAAP2023-07-21T12:16:44Zoai:repositorium.sdum.uminho.pt:1822/82542Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:09:21.078613Repositório 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 Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal
title Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal
spellingShingle Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal
Izquierdo, Francisco
bayesian hierarchical spatio-temporal models (BHSTM)
integrated nested Laplace approximation (INLA)
relative biomass
Atlantic Ocean
Bayesian hierarchical spatio- models (BHSTM)
spatial
temporal
Ciências Naturais::Matemáticas
Ciências Naturais::Ciências da Terra e do Ambiente
Science & Technology
Produção e consumo sustentáveis
Proteger a vida marinha
title_short Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal
title_full Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal
title_fullStr Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal
title_full_unstemmed Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal
title_sort Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal
author Izquierdo, Francisco
author_facet Izquierdo, Francisco
Menezes, Raquel
Wise, Laura
Teles-Machado, Ana
Garrido, Susana
author_role author
author2 Menezes, Raquel
Wise, Laura
Teles-Machado, Ana
Garrido, Susana
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Izquierdo, Francisco
Menezes, Raquel
Wise, Laura
Teles-Machado, Ana
Garrido, Susana
dc.subject.por.fl_str_mv bayesian hierarchical spatio-temporal models (BHSTM)
integrated nested Laplace approximation (INLA)
relative biomass
Atlantic Ocean
Bayesian hierarchical spatio- models (BHSTM)
spatial
temporal
Ciências Naturais::Matemáticas
Ciências Naturais::Ciências da Terra e do Ambiente
Science & Technology
Produção e consumo sustentáveis
Proteger a vida marinha
topic bayesian hierarchical spatio-temporal models (BHSTM)
integrated nested Laplace approximation (INLA)
relative biomass
Atlantic Ocean
Bayesian hierarchical spatio- models (BHSTM)
spatial
temporal
Ciências Naturais::Matemáticas
Ciências Naturais::Ciências da Terra e do Ambiente
Science & Technology
Produção e consumo sustentáveis
Proteger a vida marinha
description The data that support the findings of this study are available from the Portuguese fisheries authority “DGRM - Direcção Geral dos Recursos Marinhos, Segurança e Serviços Marinhos”. Restrictions apply to the availability of these data, which were used under license for this study. Data are available from Susana Garrido with the permission of DGRM.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-18
2022-05-18T00:00:00Z
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 https://hdl.handle.net/1822/82542
url https://hdl.handle.net/1822/82542
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Izquierdo, F., Menezes, R., Wise, L., Teles-Machado, A. & Garrido, S. (2022). Bayesian spatio-temporal CPUE standardization: Case study of European sardine (Sardina pilchardus) along the western coast of Portugal. Fisheries Management and Ecology, 29, 670– 680. https://doi.org/10.1111/fme.12556
0969-997X
1365-2400
10.1111/fme.12556
https://onlinelibrary.wiley.com/doi/10.1111/fme.12556
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 Wiley
publisher.none.fl_str_mv Wiley
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
instacron_str RCAAP
institution 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
_version_ 1799132518808551424

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