Publicação: Comparing three indices of catch per unit effort using Bayesian geostatistics
dc.contributor.author | Pereira, Julio Cesar | |
dc.contributor.author | Leandro, Roseli Aparecida | |
dc.contributor.author | Petrere, Miguel [UNESP] | |
dc.contributor.author | Nishida, Tom | |
dc.contributor.institution | Universidade Federal de São Carlos (UFSCar) | |
dc.contributor.institution | Universidade de São Paulo (USP) | |
dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
dc.contributor.institution | Natl Res Inst Far Seas Fisheries | |
dc.date.accessioned | 2013-09-30T18:48:26Z | |
dc.date.accessioned | 2014-05-20T13:57:40Z | |
dc.date.available | 2013-09-30T18:48:26Z | |
dc.date.available | 2014-05-20T13:57:40Z | |
dc.date.issued | 2009-11-01 | |
dc.description.abstract | In 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.affiliation | Universidade Federal de São Carlos (UFSCar), BR-18052780 Sorocaba, SP, Brazil | |
dc.description.affiliation | ESALQ USP, Dept Ciencias Exatas, BR-13418900 Piracicaba, SP, Brazil | |
dc.description.affiliation | UNESP, Dept Ecol, BR-13506900 Rio Claro, SP, Brazil | |
dc.description.affiliation | Natl Res Inst Far Seas Fisheries, Fisheries Res Agcy, Shizuoka 4248633, Japan | |
dc.description.affiliationUnesp | UNESP, Dept Ecol, BR-13506900 Rio Claro, SP, Brazil | |
dc.description.sponsorship | Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) | |
dc.format.extent | 200-209 | |
dc.identifier | http://dx.doi.org/10.1016/j.fishres.2009.07.010 | |
dc.identifier.citation | Fisheries Research. Amsterdam: Elsevier B.V., v. 100, n. 3, p. 200-209, 2009. | |
dc.identifier.doi | 10.1016/j.fishres.2009.07.010 | |
dc.identifier.issn | 0165-7836 | |
dc.identifier.uri | http://hdl.handle.net/11449/20553 | |
dc.identifier.wos | WOS:000271376900003 | |
dc.language.iso | eng | |
dc.publisher | Elsevier B.V. | |
dc.relation.ispartof | Fisheries Research | |
dc.relation.ispartofjcr | 1.874 | |
dc.relation.ispartofsjr | 0,941 | |
dc.rights.accessRights | Acesso restrito | |
dc.source | Web of Science | |
dc.subject | Simulation | en |
dc.subject | Geostatistics | en |
dc.subject | CPUE | en |
dc.subject | Estimation | en |
dc.subject | Linear coregionalization | en |
dc.title | Comparing three indices of catch per unit effort using Bayesian geostatistics | en |
dc.type | Artigo | |
dcterms.license | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
dcterms.rightsHolder | Elsevier B.V. | |
dspace.entity.type | Publication | |
unesp.campus | Universidade Estadual Paulista (UNESP), Instituto de Biociências, Rio Claro | pt |
unesp.department | Ecologia - IB | pt |
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