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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
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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
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A Bayesian two-stage biomass model for stock assessment of data-limited species: An application to cuttlefish ( Sepia officinalis ) in the English Channel ArchiMer
Alemany, Juliette; Rivot, Etienne; Foucher, Eric; Vigneau, Joel; Robin, Jean-paul.
Cuttlefish is a key commercial species in the English Channel fishery in terms of landings and value. Age-based assessment methods are limited by time-consuming age determination with statoliths and the lack of stock assessment models tailored to this data-limited species. A two-stage biomass model is developed in the Bayesian state-space modelling framework that allows inferences to be made on the stock biomass at the start, middle and end of each fishing seasons between 1992 and 2014, while accounting for both process and measurement errors and to assimilate various sources of information. A method that uses ancillary length-frequency data is developed to provide an informative prior distribution for the biomass growth rate parameter g (E = 0.89) and its...
Tipo: Text Palavras-chave: English Channel; Cuttlefish; Sepia officinalis; Bayesian state-space model; Data-limited stock; Two-stage biomass model.
Ano: 2017 URL: http://archimer.ifremer.fr/doc/00376/48766/49289.pdf
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A two-stage biomass model to assess the English Channel cuttlefish (Sepia officinalis L.) stock ArchiMer
Gras, Michael; Roel, Beatriz A.; Coppin, Franck; Foucher, Eric; Robin, Jean-paul.
The English Channel cuttlefish (Sepia officinalis) is the most abundant cephalopod resource in the Northeast Atlantic and one of the three most valuable resources for English Channel fishers. Depletion methods and age-structured models have been used to assess the stock, though they have shown limitations related to the model assumptions and data demand. A two-stage biomass model is, therefore, proposed here using, as input data, four abundance indices derived from survey and commercial trawl data collected by Ifremer and Cefas. The model suggests great interannual variability in abundance during the 17 years of the period considered and a decreasing trend in recent years. Model results suggest that recruitment strength is independent of spawning-stock...
Tipo: Text Palavras-chave: Abundance indices; English Channel; Exploitation rate; Sepia officinalis; SST; Stock–recruitment relationship; Trawl survey; Two-stage biomass model.
Ano: 2014 URL: http://archimer.ifremer.fr/doc/00248/35923/34448.pdf
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