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Comparing three indices of catch per unit effort using Bayesian geostatistics

dc.contributor.authorPereira, Julio Cesar
dc.contributor.authorLeandro, Roseli Aparecida
dc.contributor.authorPetrere, Miguel [UNESP]
dc.contributor.authorNishida, Tom
dc.contributor.institutionUniversidade Federal de São Carlos (UFSCar)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionNatl Res Inst Far Seas Fisheries
dc.date.accessioned2013-09-30T18:48:26Z
dc.date.accessioned2014-05-20T13:57:40Z
dc.date.available2013-09-30T18:48:26Z
dc.date.available2014-05-20T13:57:40Z
dc.date.issued2009-11-01
dc.description.abstractIn assessing a fish stock, indices based on catch per unit effort (CPUE) are frequently used. Estimates of three indices of catch per unit effort were compared here (CPUE(1), CPUE(2) and CPUE(3)), considering the fitting of two models: (i) a bivariate geostatistical model for catch and effort; (ii) a bivariate model where catch and effort were considered spatially independent. For comparing the estimates of the three indices after the fitting of the two models, catch and effort data were simulated in different scenarios. The simulation study showed that. in general, the estimates of CPUE(1) expressed by the ratio of the means of catch and effort, present better results for different scenarios and that the estimates from (i) are better than (ii), mainly when there is a correlation between catch and effort and an additional spatial correlation. (C) 2009 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniversidade Federal de São Carlos (UFSCar), BR-18052780 Sorocaba, SP, Brazil
dc.description.affiliationESALQ USP, Dept Ciencias Exatas, BR-13418900 Piracicaba, SP, Brazil
dc.description.affiliationUNESP, Dept Ecol, BR-13506900 Rio Claro, SP, Brazil
dc.description.affiliationNatl Res Inst Far Seas Fisheries, Fisheries Res Agcy, Shizuoka 4248633, Japan
dc.description.affiliationUnespUNESP, Dept Ecol, BR-13506900 Rio Claro, SP, Brazil
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent200-209
dc.identifierhttp://dx.doi.org/10.1016/j.fishres.2009.07.010
dc.identifier.citationFisheries Research. Amsterdam: Elsevier B.V., v. 100, n. 3, p. 200-209, 2009.
dc.identifier.dimensionspub.1045799239
dc.identifier.doi10.1016/j.fishres.2009.07.010
dc.identifier.issn0165-7836
dc.identifier.issn1872-6763
dc.identifier.orcid0000-0003-1951-3837
dc.identifier.orcid0000-0001-9833-5260
dc.identifier.orcid0000-0003-2000-6699
dc.identifier.urihttp://hdl.handle.net/11449/20553
dc.identifier.wosWOS:000271376900003
dc.language.isoeng
dc.publisherElsevier B.V.
dc.publisherElsevier
dc.relation.ispartofFisheries Research
dc.relation.ispartofjcr1.874
dc.relation.ispartofsjr0,941
dc.rights.accessRightsAcesso restritopt
dc.sourceWeb of Science
dc.sourceDimensions
dc.subjectSimulationen
dc.subjectGeostatisticsen
dc.subjectCPUEen
dc.subjectEstimationen
dc.subjectLinear coregionalizationen
dc.titleComparing three indices of catch per unit effort using Bayesian geostatisticsen
dc.typeArtigopt
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
relation.isOrgUnitOfPublicationeecebc66-0524-4365-8462-6103e1c979de
relation.isOrgUnitOfPublication.latestForDiscoveryeecebc66-0524-4365-8462-6103e1c979de
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Rio Claropt
unesp.departmentEcologia - IBpt

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