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dc.contributoren-US
dc.creatorAndrade, Humber A.
dc.date2016-09-26
dc.date.accessioned2020-11-05T13:23:35Z
dc.date.available2020-11-05T13:23:35Z
dc.identifierhttp://lajar.ucv.cl/index.php/rlajar/article/view/vol43-issue1-fulltext-13
dc.identifier10.3856/vol43-issue1-fulltext-13
dc.identifier.urihttps://revistaschilenas.uchile.cl/handle/2250/158285
dc.descriptionDifferent datasets and a Bayesian production model were used to assess the status of the Atlantic bigeye tuna (Thunnus obesus) stock. Several datasets convey little information hence estimations of parameters are imprecise unless a very restrictive prior is used. Modes of posteriors calculated for composite datasets are in between modes of the posteriors calculated for separated datasets. Most of the calculations indicate that biomass has decreased until the beginning of 1990’s when the stock was overfished. Catches decreased after 1999 but there is doubt if the stock was recovering in 2000’s. The answer depends on the dataset and on the prior distribution.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherPontificia Universidad Católica de Valparaísoen-US
dc.relationhttp://lajar.ucv.cl/index.php/rlajar/article/view/vol43-issue1-fulltext-13/131
dc.relationhttp://lajar.ucv.cl/index.php/rlajar/article/downloadSuppFile/vol43-issue1-fulltext-13/196
dc.sourceLatin American Journal of Aquatic Research; Vol 43, No 1 (2015); 146-161en-US
dc.sourcePlataforma para envío de artículos - Latin American Journal of Aquatic Research; Vol 43, No 1 (2015); 146-161es-ES
dc.source0718-560X
dc.source0718-560X
dc.subjectstock assessment; biomass; production model; Bayesian model; adaptive importance samplingen-US
dc.titleSensitivity analysis of catch-per-unit-effort of Atlantic bigeye tuna (Thunnus obesus) data series applied to production modelen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeen-US
dc.typees-ES


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