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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 methodology based on data filtering to identify reference fleets to account for the abundance of fish species: Application to the Striped red mullet (Mullus surmulletus) in the Bay of Biscay ArchiMer
Caill-milly, Nathalie; Lissardy, Muriel; Bru, Noëlle; Dutertre, Marie-adèle; Saguet, Cassandre.
For data-limited stocks (DLS), professional fishing data can be used as a potential source of information, especially in the absence of appropriate scientific survey, to understand abundance evolution under realistic hypothesis on resource catchability. This work focuses on a data-filtering approach, the selected fishing effort must reflect vessel activity that is least dependent on their technical characteristics and as stable as possible over time. The variable of interest is landing by fishing sequence (landing for a given gear, gear mesh, day and ICES statistical rectangle) called LPUE. In order to account for the abundance of the species, it was necessary to consider the discards. The method thus proceeds in 4 steps: (i) focus on LPUE variability and...
Tipo: Text Palavras-chave: Data-limited stock; Commercial data; Discards; LPUE; Professional knowledge; Data filtering.
Ano: 2019 URL: https://archimer.ifremer.fr/doc/00503/61495/65305.pdf
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Développement d’un cadre Bayésien pour l’évaluation de stocks à données limitées et élaboration de scénarios de gestion, cas particuliers de la seiche (Sepia officinalis) et du lieu jaune (Pollachius pollachius) ArchiMer
Alemany, Juliette.
The assessment and the management of sh stocks aim at achieving a sustainable exploitation of the resources provided by the oceans. While progress have been made in this eld for some stocks of great commercial importance, the situation is di erent for the so-called "data limited" stocks. Often historically less exploited, these stocks do not  benefit from the same economical resources nor workforce to conduct the stock assessments required to set management measures. This work is based on two case studies, pollack (Pollachius pollachius) and cuttlefish (Sepia officinalis). The aim is to investigate the stock assessment methods adapted to data-limited situations. A first introductive part presents the background of fish stock assessment as well as the two...
Tipo: Text Palavras-chave: Stock a donnees limitees; Evaluation de stock; Avis de gestion; Modele Bayesien; Pollachius pollachius; Lieu jaune; Sepia officinalis; Seiche; Data-limited stock; Stock assessment; Management advice; Bayesian model; Pollachius pollachius; Pollack; Sepia officinalis; Cuttlefish.
Ano: 2017 URL: http://archimer.ifremer.fr/doc/00411/52227/52953.pdf
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