Modelling fish growth with imperfect data: The case of Trachurus picturatus

Bibliographic Details
Main Author: Neves, Ana
Publication Date: 2022
Other Authors: Vieira, Ana Rita, Sequeira, Vera, Silva, Elisabete, Silva, Frederica, Duarte, Ana Marta, Mendes, Susana, Ganhão, Rui, Assis, Carlos, Rebelo, Rui, Magalhães, Maria Filomena, Gil, Maria Manuel, Gordo, Leonel Serrano
Format: Article
Language: eng
Source: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Download full: http://hdl.handle.net/10400.8/7566
Summary: Funding: This publication was funded by the European Maritime and Fisheries Fund MAR2020 project “VALOREJET: Valorização de espécies rejeitadas e de baixo valor comercial”, MAR-01.03.01-FEAMP-0003 and by Fundação para a Ciência e Tecnologia through research contracts attributed to Vera Sequeira (CEECIND/02705/2017) and Ana Rita Vieira (CEECIND/01528/2017) and strategic project UIBD/04292/2020.
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spelling Modelling fish growth with imperfect data: The case of Trachurus picturatusBayesianCarangidaeFisheriesMortalityFunding: This publication was funded by the European Maritime and Fisheries Fund MAR2020 project “VALOREJET: Valorização de espécies rejeitadas e de baixo valor comercial”, MAR-01.03.01-FEAMP-0003 and by Fundação para a Ciência e Tecnologia through research contracts attributed to Vera Sequeira (CEECIND/02705/2017) and Ana Rita Vieira (CEECIND/01528/2017) and strategic project UIBD/04292/2020.Growth modelling is essential to inform fisheries management but is often hampered by sampling biases and imperfect data. Additional methods such as interpolating data through backcalculation may be used to account for sampling bias but are often complex and time-consuming. Here, we present an approach to improve plausibility in growth estimates when small individuals are under-sampled, based on Bayesian fitting growth models using Markov Chain Monte Carlo (MCMC) with informative priors on growth parameters. Focusing on the blue jack mackerel, Trachurus picturatus, which is an important commercial fish in the southern northeast Atlantic, this Bayesian approach was evaluated in relation to standard growth model fitting methods, using both direct readings and back-calculation data. Matched growth parameter estimates were obtained with the von Bertalanffy growth function applied to back-calculated length at age and the Bayesian fitting, using MCMC to direct age readings, with both outperforming all other methods assessed. These results indicate that Bayesian inference may be a powerful addition in growth modelling using imperfect data and should be considered further in age and growth studies, provided relevant biological information can be gathered and included in the analyses.MDPIIC-OnlineNeves, AnaVieira, Ana RitaSequeira, VeraSilva, ElisabeteSilva, FredericaDuarte, Ana MartaMendes, SusanaGanhão, RuiAssis, CarlosRebelo, RuiMagalhães, Maria FilomenaGil, Maria ManuelGordo, Leonel Serrano2022-08-22T12:46:25Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/7566engNeves, A.; Vieira, A.R.; Sequeira, V.; Silva, E.; Silva, F.; Duarte, A.M.; Mendes, S.; Ganhão, R.; Assis, C.; Rebelo, R.; et al. Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus. Fishes 2022, 7, 52. https://doi.org/10.3390/fishes70100522410-388810.3390/fishes7010052info: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:RCAAP2024-01-17T15:55:27Zoai:iconline.ipleiria.pt:10400.8/7566Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:50:29.742770Repositório 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 Modelling fish growth with imperfect data: The case of Trachurus picturatus
title Modelling fish growth with imperfect data: The case of Trachurus picturatus
spellingShingle Modelling fish growth with imperfect data: The case of Trachurus picturatus
Neves, Ana
Bayesian
Carangidae
Fisheries
Mortality
title_short Modelling fish growth with imperfect data: The case of Trachurus picturatus
title_full Modelling fish growth with imperfect data: The case of Trachurus picturatus
title_fullStr Modelling fish growth with imperfect data: The case of Trachurus picturatus
title_full_unstemmed Modelling fish growth with imperfect data: The case of Trachurus picturatus
title_sort Modelling fish growth with imperfect data: The case of Trachurus picturatus
author Neves, Ana
author_facet Neves, Ana
Vieira, Ana Rita
Sequeira, Vera
Silva, Elisabete
Silva, Frederica
Duarte, Ana Marta
Mendes, Susana
Ganhão, Rui
Assis, Carlos
Rebelo, Rui
Magalhães, Maria Filomena
Gil, Maria Manuel
Gordo, Leonel Serrano
author_role author
author2 Vieira, Ana Rita
Sequeira, Vera
Silva, Elisabete
Silva, Frederica
Duarte, Ana Marta
Mendes, Susana
Ganhão, Rui
Assis, Carlos
Rebelo, Rui
Magalhães, Maria Filomena
Gil, Maria Manuel
Gordo, Leonel Serrano
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv IC-Online
dc.contributor.author.fl_str_mv Neves, Ana
Vieira, Ana Rita
Sequeira, Vera
Silva, Elisabete
Silva, Frederica
Duarte, Ana Marta
Mendes, Susana
Ganhão, Rui
Assis, Carlos
Rebelo, Rui
Magalhães, Maria Filomena
Gil, Maria Manuel
Gordo, Leonel Serrano
dc.subject.por.fl_str_mv Bayesian
Carangidae
Fisheries
Mortality
topic Bayesian
Carangidae
Fisheries
Mortality
description Funding: This publication was funded by the European Maritime and Fisheries Fund MAR2020 project “VALOREJET: Valorização de espécies rejeitadas e de baixo valor comercial”, MAR-01.03.01-FEAMP-0003 and by Fundação para a Ciência e Tecnologia through research contracts attributed to Vera Sequeira (CEECIND/02705/2017) and Ana Rita Vieira (CEECIND/01528/2017) and strategic project UIBD/04292/2020.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-22T12:46:25Z
2022
2022-01-01T00:00:00Z
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 http://hdl.handle.net/10400.8/7566
url http://hdl.handle.net/10400.8/7566
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Neves, A.; Vieira, A.R.; Sequeira, V.; Silva, E.; Silva, F.; Duarte, A.M.; Mendes, S.; Ganhão, R.; Assis, C.; Rebelo, R.; et al. Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus. Fishes 2022, 7, 52. https://doi.org/10.3390/fishes7010052
2410-3888
10.3390/fishes7010052
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 MDPI
publisher.none.fl_str_mv MDPI
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
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