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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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