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	Provedor de dados ArchiMer (2) Autor Alemany, Juliette (2) Foucher, Eric (2) Rivot, Etienne (2) Robin, Jean-paul (2) Vigneau, Joel (2) Palavra-chave Cuttlefish (2) Data-limited (2) English Channel (2) Sepia officinalis (2) Short-lived species (2) Stock assessment (2) Two-stage biomass model (2) Bayesian (1) Bayesian methods (1) Mais... Tipo do documento Text (2) Ano 2017 (1) 2016 (1) País France (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Stock assessment of the English Channel stock of cuttlefish with a two-stage biomass model ArchiMer Alemany, Juliette; Foucher, Eric; Rivot, Etienne; Vigneau, Joel; Robin, Jean-paul. Among the English Channel fishery, the importance of cuttlefish stock has increased, following the cephalopods global landings and market trend. The stock is currently managed at regional scale but not by European regulations, although it is a shared species targeted by French and British fishing fleets at several stages of its life-cycle and across much of its distributional range. An assessment of this stock was conducted in June 2014 by fitting a two-stage biomass model on a 22 years’ time-series (1992-2013). We present the last update of cuttlefish stock assessment using the same model on years 1992-2014. As the outputs of the model are sensitive to a fix growth parameter, we explore possibilities to improve the model. The use of a Bayesian framework... Tipo: Text Palavras-chave: Stock assessment; Short-lived species; Data-limited; Cuttlefish; Sepia officinalis; English Channel; Two-stage biomass model; Bayesian methods. Ano: 2016 URL: http://archimer.ifremer.fr/doc/00377/48774/49172.pdf Update of the English Channel cuttlefish stock assessment with a Bayesian two-stage biomass model. ArchiMer Alemany, Juliette; Rivot, Etienne; Foucher, Eric; Vigneau, Joel; Robin, Jean-paul. A two-stage biomass model is developed in the Bayesian framework that allows us to assimilate various sources of information. A method that makes use of ancillary length frequency data is developed to provide an informative prior distribution for the intrinsic biomass growth rate parameter and its annual variability. The new Bayesian model provides substantial improvement to the existing stock assessment method used by ICES. Considering a time-varying g parameter improves model fit and improves the ecological realisms of the model according to the sensitivity of the cuttlefish population dynamics to environmental fluctuations. We present results of the English Channel cuttlefish stock assessment updated with the new Bayesian model. The model also provides... Tipo: Text Palavras-chave: Stock assessment; Short-lived species; Data-limited; Cuttlefish; Sepia officinalis; English Channel; Two-stage biomass model; Bayesian. Ano: 2017 URL: http://archimer.ifremer.fr/doc/00377/48775/49173.pdf Registros recuperados: 2 Primeira ... 1 ... Última

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