Data/hora: 06/06/2024 08:28:52

Provedor de dados: | 5
País: | France

Título:

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)

Development of a Bayesian framework for data limited stocks assessment methods and management scenarios. Application to two study cases, cuttlefish (Sepia officinalis) and pollack (Pollachius pollachius)

Autores: | Alemany, Juliette.
Data: | 2017-10-16
Ano: | 2017
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.
Resumo: | 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 case studies. This first chapter is followed by a review of data-limited stock assessment methods. The third part compares the results of a two-stage biomass model with the results of a multi-annual generalized depletion model applied to the English Channel stock of cuttlefish. An improved version of the Bayesian two-stage biomass model is also presented. In the fourth part, a Stock Synthesis model based on integrated analysis methods is applied to the stock of pollack in the Celtic Seas Ecoregion. The results are compared to the results of simpler models which require less data. The Stock Synthesis model results are sensitive to the assumptions on the natural mortality value, which relies on the growth parameters of the stock. The fifth part presents the collection and analysis of new data which will allow a better estimate of pollack stock status. A Bayesian hierarchical model is constructed, allowing information transfer between three stocks and the update of pollack biological parameters. The last chapter concludes this work by summarizing the main results. The discussion is extended to the research perspectives.
Tipo: | Text
Idioma: | Francês

Identificador:

http://archimer.ifremer.fr/doc/00411/52227/52953.pdf

http://archimer.ifremer.fr/doc/00411/52227/

Editor: | Université Caen Normandie
Formato: | application/pdf

Fonte:

2017 Université Caen Normandie

info:eu-repo/semantics/openAccess

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