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Modelling Fish Growth with Imperfect Data: The Case of Trachurus picturatus

2022-02Journal article Open access
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dc.contributor.authorNeves, Ana
dc.contributor.authorVieira, Ana Rita
dc.contributor.authorSequeira, Vera
dc.contributor.authorSilva, Elisabete
dc.contributor.authorSilva, Frederica
dc.contributor.authorDuarte, Ana Marta
dc.contributor.authorMendes, Susana
dc.contributor.authorGanhão, Rui
dc.contributor.authorAssis, Carlos
dc.contributor.authorSampaio e rebelo, Rui
dc.contributor.authorMagalhães, Maria Filomena
dc.contributor.authorGil, Maria Manuel
dc.contributor.authorGordo, Leonel Serrano
dc.date.accessioned2022-12-16T07:46:03Z
dc.date.available2022-12-16T07:46:03Z
dc.date.issued2022-02
dc.description.abstractGrowth 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.3390/fishes7010052pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/55425
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationEuropean Maritime and Fisheries Fund MAR2020 project “VALOREJET: Valorização de espécies rejeitadas e de baixo valor comercialpt_PT
dc.relationMAR-01.03.01-FEAMP-0003pt_PT
dc.relationFCT CEECIND/02705/2017pt_PT
dc.relationFCT CEECIND/01528/2017pt_PT
dc.relationFCT UIBD/04292/2020pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleModelling Fish Growth with Imperfect Data: The Case of Trachurus picturatuspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.startPage52pt_PT
oaire.citation.titleFishespt_PT
oaire.citation.volume7pt_PT
person.familyNameBorges Sampaio e Rebelo
person.familyNameMagalhães
person.givenNameRui Miguel
person.givenNameMaria Filomena
person.identifier.ciencia-id651A-9349-61EF
person.identifier.ciencia-id0D1B-304A-0AEA
person.identifier.orcid0000-0003-2544-1470
person.identifier.orcid0000-0001-7308-2279
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication621a851c-d356-4e35-857d-e6ffac529a13
relation.isAuthorOfPublicationa3fa00c3-3c10-4c1f-a73c-482e0b29f6bc
relation.isAuthorOfPublication.latestForDiscovery621a851c-d356-4e35-857d-e6ffac529a13

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