Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/82542
Título: | Bayesian spatio-temporal CPUE standardization: case study of European sardine (Sardina pilchardus) along the western coast of Portugal |
Autor(es): | Izquierdo, Francisco Menezes, Raquel Wise, Laura Teles-Machado, Ana Garrido, Susana |
Palavras-chave: | bayesian hierarchical spatio-temporal models (BHSTM) integrated nested Laplace approximation (INLA) relative biomass Atlantic Ocean Bayesian hierarchical spatio- models (BHSTM) spatial temporal |
Data: | 18-Mai-2022 |
Editora: | Wiley |
Revista: | Fisheries Management and Ecology |
Citação: | 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 |
Resumo(s): | 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. |
Tipo: | Artigo |
Descrição: | 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. |
URI: | https://hdl.handle.net/1822/82542 |
DOI: | 10.1111/fme.12556 |
ISSN: | 0969-997X |
e-ISSN: | 1365-2400 |
Versão da editora: | https://onlinelibrary.wiley.com/doi/10.1111/fme.12556 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Bayesian spatio-temporal CPUE standardization.pdf | Izquierdo et al. (2022). Bayesian spatio-temporal CPUE standardization: Case study of European sardine (Sardina pilchardus) along the western coast of Portugal. Journal of Fisheries Management and Ecology. | 1,72 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons