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dc.creatorAndrade,Humber A
dc.date2015-03-01
dc.date.accessioned2019-05-03T13:27:42Z
dc.date.available2019-05-03T13:27:42Z
dc.identifierhttps://scielo.conicyt.cl/scielo.php?script=sci_arttext&pid=S0718-560X2015000100013
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/88064
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.
dc.formattext/html
dc.languageen
dc.publisherPontificia Universidad Católica de Valparaíso. Facultad de Recursos Naturales. Escuela de Ciencias del Mar
dc.relation10.3856/vol43-issue1-fulltext-13
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceLatin american journal of aquatic research v.43 n.1 2015
dc.subjectstock assessment
dc.subjectbiomass
dc.subjectproduction model
dc.subjectBayesian model
dc.subjectadaptive importance sampling
dc.titleSensitivity analysis of catch-per-unit-effort of Atlantic bigeye tuna (Thunnus obesus) data series applied to production model


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