Data/hora: 09/06/2024 12:30:31

Provedor de dados: 	5	
País: 	France	
Título: 	Generalized Pareto for Pattern-Oriented Random Walk Modelling of Organisms' Movements	
Autores: 	Bertrand, Sophie; Joo, Rocio; Fablet, Ronan.	
Data: 	2015-07	
Ano: 	2015	
Resumo: 	How organisms move and disperse is crucial to understand how population dynamics relates to the spatial heterogeneity of the environment. Random walk (RW) models are typical tools to describe movement patterns. Whether Levy or alternative RW better describes forager movements is keenly debated. We get around this issue using the Generalized Pareto Distribution (GPD). GPD includes as specific cases Normal, exponential and power law distributions, which underlie Brownian, Poisson-like and Levy walks respectively. Whereas previous studies typically confronted a limited set of candidate models, GPD lets the most likely RW model emerge from the data. We illustrate the wide applicability of the method using GPS-tracked seabird foraging movements and fishing vessel movements tracked by Vessel Monitoring System (VMS), both collected in the Peruvian pelagic ecosystem. The two parameters from the fitted GPD, a scale and a shape parameter, provide a synoptic characterization of the observed movement in terms of characteristic scale and diffusive property. They reveal and quantify the variability, among species and individuals, of the spatial strategies selected by predators foraging on a common prey field. The GPD parameters constitute relevant metrics for (1) providing a synthetic and pattern-oriented description of movement, (2) using top predators as ecosystem indicators and (3) studying the variability of spatial behaviour among species or among individuals with different personalities.	
Tipo: 	Text	
Idioma: 	Inglês	
Identificador: 	https://archimer.ifremer.fr/doc/00275/38641/37160.pdf

DOI:10.1371/journal.pone.0132231

https://archimer.ifremer.fr/doc/00275/38641/	
Editor: 	Public Library Science	
Formato: 	application/pdf	
Fonte: 	Plos One (1932-6203) (Public Library Science), 2015-07 , Vol. 10 , N. 7 , P. e0132231	
Fonte: 	2015 Bertrand et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

info:eu-repo/semantics/openAccess

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