Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus
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 back-calculation may be used to account for sampling bias but are often complex and time-consuming. Here, we present an appr...
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Online Access: | https://doi.org/10.3390/fishes7010052 https://doaj.org/article/d889f48fd1e24ea893e7592e3ba274d1 |
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ftdoajarticles:oai:doaj.org/article:d889f48fd1e24ea893e7592e3ba274d1 2023-05-15T17:41:27+02:00 Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus Ana Neves Ana Rita Vieira Vera Sequeira Elisabete Silva Frederica Silva Ana Marta Duarte Susana Mendes Rui Ganhão Carlos Assis Rui Rebelo Maria Filomena Magalhães Maria Manuel Gil Leonel Serrano Gordo 2022-02-01T00:00:00Z https://doi.org/10.3390/fishes7010052 https://doaj.org/article/d889f48fd1e24ea893e7592e3ba274d1 EN eng MDPI AG https://www.mdpi.com/2410-3888/7/1/52 https://doaj.org/toc/2410-3888 doi:10.3390/fishes7010052 2410-3888 https://doaj.org/article/d889f48fd1e24ea893e7592e3ba274d1 Fishes, Vol 7, Iss 52, p 52 (2022) Bayesian Carangidae fisheries mortality Biology (General) QH301-705.5 Genetics QH426-470 article 2022 ftdoajarticles https://doi.org/10.3390/fishes7010052 2022-12-31T09:46:15Z 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 back-calculation 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. Article in Journal/Newspaper Northeast Atlantic Directory of Open Access Journals: DOAJ Articles Fishes 7 1 52 |
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Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
topic |
Bayesian Carangidae fisheries mortality Biology (General) QH301-705.5 Genetics QH426-470 |
spellingShingle |
Bayesian Carangidae fisheries mortality Biology (General) QH301-705.5 Genetics QH426-470 Ana Neves Ana Rita Vieira Vera Sequeira Elisabete Silva Frederica Silva Ana Marta Duarte Susana Mendes Rui Ganhão Carlos Assis Rui Rebelo Maria Filomena Magalhães Maria Manuel Gil Leonel Serrano Gordo Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus |
topic_facet |
Bayesian Carangidae fisheries mortality Biology (General) QH301-705.5 Genetics QH426-470 |
description |
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 back-calculation 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. |
format |
Article in Journal/Newspaper |
author |
Ana Neves Ana Rita Vieira Vera Sequeira Elisabete Silva Frederica Silva Ana Marta Duarte Susana Mendes Rui Ganhão Carlos Assis Rui Rebelo Maria Filomena Magalhães Maria Manuel Gil Leonel Serrano Gordo |
author_facet |
Ana Neves Ana Rita Vieira Vera Sequeira Elisabete Silva Frederica Silva Ana Marta Duarte Susana Mendes Rui Ganhão Carlos Assis Rui Rebelo Maria Filomena Magalhães Maria Manuel Gil Leonel Serrano Gordo |
author_sort |
Ana Neves |
title |
Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus |
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 |
publisher |
MDPI AG |
publishDate |
2022 |
url |
https://doi.org/10.3390/fishes7010052 https://doaj.org/article/d889f48fd1e24ea893e7592e3ba274d1 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Fishes, Vol 7, Iss 52, p 52 (2022) |
op_relation |
https://www.mdpi.com/2410-3888/7/1/52 https://doaj.org/toc/2410-3888 doi:10.3390/fishes7010052 2410-3888 https://doaj.org/article/d889f48fd1e24ea893e7592e3ba274d1 |
op_doi |
https://doi.org/10.3390/fishes7010052 |
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Fishes |
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7 |
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1 |
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52 |
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