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Understanding what controls the spatial distribution of fish populations using a multi-model approach ArchiMer
Planque, Benjamin; Loots, Christophe; Petitgas, Pierre; Lindstrom, Ulf; Vaz, Sandrine.
Understanding and predicting the distribution of organisms in heterogeneous environments lies at the heart of ecology. The spatial distribution of fish populations observed in the wild results from the complex interactions of multiple controls both external or internal to the fish populations. Whilst species distribution models (SDMs) have been mostly concerned with static description of species distribution as a function of environmental constraints, models of animal movements (MAMs) have focussed on the dynamic nature of spatial distribution of groups of individuals under a number of constraints external and internal to the population. Besides SDMs and MAMs, modelling the spatial distribution of fish populations can be achieved by models that are...
Tipo: Text Palavras-chave: Demographic structure; Density-dependent habitat selection; Environmental control; Fish spatial distribution models; Multi-model inference; Population memory; Spatial dependency.
Ano: 2011 URL: http://archimer.ifremer.fr/doc/00022/13309/10360.pdf
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Age and growth estimation of bigeye tuna, Thunnus obesus (Teleostei: Scombridae) in the southwestern Atlantic Neotropical Ichthyology
Duarte-Neto,Paulo; Higa,Fábio M.; Lessa,Rosangela P..
The purpose of the current study was to supply the first information on age and growth for Thunnus obesus caught in the equatorial south-western Atlantic using dorsal spines, an approach that has been successfully employed for ageing tuna species. The study was conducted using a multi-model inference based on information theory for back-calculated and observed length-at-age data. Uncertainty associated with the parameter estimation was verified and results were compared to other accounts on the species, considering both the statistical and methodological contexts. Samples were collected in Natal city (Rio Grande do Norte State, Brazil) from February 1999 to January 2000, of tuna vessels and from surveys, aimed at providing information on the Brazilian...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Ageing techniques; Dorsal-fin spine; Growth parameters; Multi-model inference.
Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252012000100014
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