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Provedor de dados:  ArchiMer
País:  France
Título:  Bayesian posterior prediction of the patchy spatial distributions of small pelagic fish in regions of suitable habitat
Autores:  Boyd, Charlotte
Woillez, Mathieu
Bertrand, Sophie
Castillo, Ramiro
Bertrand, Arnaud
Punt, Andre E.
Data:  2015-02
Ano:  2015
Resumo:  Small pelagic fish aggregate within areas of suitable habitat to form patchy distributions with localized peaks in abundance. This presents challenges for geostatistical methods designed to investigate the processes underpinning the spatial distribution of stocks and simulate distributions for further analysis. In two-stage models, presence/absence is treated as separable and independent from the process explaining non-zero densities. This is appropriate where gaps in the distribution are attributable to one process and conditional abundance to another, but less so where patchiness is attributable primarily to the strong schooling tendencies of small pelagic fish within suitable habitat. We therefore developed a new modelling framework based on a truncated Gaussian Random Field (GRF) within a Bayesian framework. We evaluated this method using simulated test data, and then applied it to acoustic survey data for Peruvian anchoveta (Engraulis ringens). We assessed the method’s performance in terms of posterior densities of spatial parameters, and the density distribution, spatial pattern, and overall spatial distribution of posterior predictions. We conclude that Bayesian posterior prediction based on a truncated GRF is effective at reproducing the patchiness of the observed spatial distribution of anchoveta.
Tipo:  Text
Idioma:  Inglês
Identificador:  https://archimer.ifremer.fr/doc/00222/33367/31773.pdf

DOI:10.1139/cjfas-2014-0234

https://archimer.ifremer.fr/doc/00222/33367/
Editor:  Canadian Science Publishing, Nrc Research Press
Formato:  application/pdf
Fonte:  Canadian Journal Of Fisheries And Aquatic Sciences (0706-652X) (Canadian Science Publishing, Nrc Research Press), 2015-02 , Vol. 72 , N. 2 , P. 290-303
Direitos:  Tous droits réservés 2014 – Éditions Sciences Canada

info:eu-repo/semantics/openAccess

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