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Provedor de dados:  ArchiMer
País:  France
Título:  A coupled biophysical model for the distribution of the great scallop Pecten maximus in the English Channel
Autores:  Le Goff, Clement
Lavaud, Romain
Cugier, Philippe
Jean, Fred
Flye-sainte-marie, Jonathan
Foucher, Eric
Desroy, Nicolas
Fifas, Spyros
Foveau, Aurelie
Data:  2017-03
Ano:  2017
Palavras-chave:  Population dynamic model
Ecophysiological model
English Channel
Pecten maximus
Spatial distribution
Resumo:  In this paper we used a modelling approach integrating both physical and biological constraints to understand the biogeographical distribution of the great scallop Pecten maximus in the English Channel during its whole life cycle. A 3D bio-hydrodynamical model (ECO-MARS3D) providing environmental conditions was coupled to (i) a population dynamics model and (ii) an individual ecophysiological model (Dynamic Energy Budget model). We performed the coupling sequentially, which underlined the respective role of biological and physical factors in defining P. maximus distribution in the English Channel. Results show that larval dispersion by hydrodynamics explains most of the scallop distribution and enlighten the main known hotspots for the population, basically corresponding to the main fishing areas. The mechanistic description of individual bioenergetics shows that food availability and temperature control growth and reproduction and explain how populations may maintain themselves in particular locations. This last coupling leads to more realistic densities and distributions of adults in the English Channel. The results of this study improves our knowledge on the stock and distribution dynamics of P. maximus, and provides grounds for useful tools to support management strategies.
Tipo:  Text
Idioma:  Inglês
Identificador:  http://archimer.ifremer.fr/doc/00355/46642/46467.pdf

DOI:10.1016/j.jmarsys.2016.10.013

http://archimer.ifremer.fr/doc/00355/46642/
Editor:  Elsevier Science Bv
Formato:  application/pdf
Fonte:  Journal Of Marine Systems (0924-7963) (Elsevier Science Bv), 2017-03 , Vol. 167 , P. 55-67
Direitos:  2016 Elsevier B.V. All rights reserved.

info:eu-repo/semantics/openAccess

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