A Bayesian two-stage biomass model for stock assessment of data-limited species: An application to cuttlefish (Sepia officinalis) in the English Channel

J. Alemany Etienne Rivot 1, 2 E. Foucher 3 J. Vigneau 4 J. P. Robin
1 Laboratoire d'Ecologie Halieutique - Agrocampus Ouest
2 ESE - Écologie et santé des écosystèmes
3 IFREMER - Institut Français de Recherche pour l'Exploitation de la Mer
4 Laboratoire Ressources halieutiques
Abstract : 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 annual variability (CV=0.1). The new model is a substantial improvement on the existing stock assessment method used by the International Council for the Exploration of the Seas. Taking into consideration a time-varying g parameter provides a more ecologically meaningful model with regard to the sensitivity of the cuttlefish population dynamics to environmental fluctuations and improves model fit. The model also provides predictions of the unexploited biomass in winter, which is based on survey data, and helps manage the stock in the event of strong depletion. (C) 2017 Elsevier B.V. All rights reserved.
Keywords : English Channel Cuttlefish Sepia officinalis Bayesian state-space model Data-limited stock Two-stage biomass model loligo-vulgaris reynaudii population-dynamics growth sea abundance squid age cephalopoda fisheries recruitment Fisheries
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Journal articles
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Submitted on : Wednesday, July 12, 2017 - 11:36:38 AM
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J. Alemany, Etienne Rivot, E. Foucher, J. Vigneau, J. P. Robin. A Bayesian two-stage biomass model for stock assessment of data-limited species: An application to cuttlefish (Sepia officinalis) in the English Channel. Fisheries Research, Elsevier, 2017, 191, pp.131-143. ⟨10.1016/j.fishres.2017.03.010⟩. ⟨hal-01561014⟩

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CONTACT : Catherine Cliquet : publication@agrocampus-ouest.fr