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Assessing the impact of discretisation assumptions in a length-structured population growth model ArchiMer
Drouineau, Hilaire; Mahevas, Stephanie; Bertignac, Michel; Fertin, A.
Most of the traditional assessment models are age-structured. However, many biological and exploitation processes are more length-dependent than age-dependent, and the required length-age conversion of available data is often not reliable. Consequently, length-structured or age-length structured models have undergone considerable development in recent years. The growth transition matrix used to model the mean growth and growth variability of the population, is of primary importance in a length-structured matrix model. Building this growth transition matrix is not trivial and it is necessary to assess the impact that various assumptions may have to identify robust model structures. In this study, we assess the effects of (1) time and length discretisation,...
Tipo: Text Palavras-chave: Sensitivity analysis; Discrete model; Growth; Length structured model.
Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/publication-4301.pdf
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Développement et ajustement d'un modèle de dynamique des populations structuré en longueur et spatialisé appliqué au stock Nord de merlu (Merluccius merluccius) ArchiMer
Drouineau, Hilaire.
The biology of European hake has been largely studied, however some specific processes of its biology, especially growth and migration, are still poorly known. Those uncertainties have consequences on the quality of the stock assessments and on the stock management by limiting the possibility to assess the effect of spatial management measures. Therefore, we develop an integrated length-structured and spatialised model of population dynamics aiming at improving the estimation of unknown parameters of the population dynamic. The model relies on a state model describing the dynamics of the population and the fishing activity, and on an observation model describing the observation processes and providing a likelihood function. A review of the literature...
Tipo: Text Palavras-chave: Parameters estimation; Migration; Growth; Sensitivity analysis; Likelihood; Spatialised model; Stock assessment; Length structured model; Hake; Estimation de paramètres; Migration; Croissance; Analyse de sensibilité; Maximum de vraisemblance; Modèle spatialisé; Évaluation des stocks; Modèle structuré en longueur; Merlu.
Ano: 2008 URL: http://archimer.ifremer.fr/doc/2008/these-3710.pdf
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