A random walk model that accounts for space occupation and movements of a large herbivore

Abstract Animal movement has been identified as a key feature in understanding animal behavior, distribution and habitat use and foraging strategies among others. Large datasets of invididual locations often remain unused or used only in part due to the lack of practical models that can directly inf...

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Autores principales:	Geoffroy Berthelot, Sonia Saïd, Vincent Bansaye
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/b013da8a5b274825915587f0abac4846
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spelling	oai:doaj.org-article:b013da8a5b274825915587f0abac48462021-12-02T15:23:07ZA random walk model that accounts for space occupation and movements of a large herbivore10.1038/s41598-021-93387-22045-2322https://doaj.org/article/b013da8a5b274825915587f0abac48462021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93387-2https://doaj.org/toc/2045-2322Abstract Animal movement has been identified as a key feature in understanding animal behavior, distribution and habitat use and foraging strategies among others. Large datasets of invididual locations often remain unused or used only in part due to the lack of practical models that can directly infer the desired features from raw GPS locations and the complexity of existing approaches. Some of them being disputed for their lack of biological justifications in their design. We propose a simple model of individual movement with explicit parameters, based on a two-dimensional biased and correlated random walk with three forces related to advection (correlation), attraction (bias) and immobility of the animal. These forces can be directly estimated using individual data. We demonstrate the approach by using GPS data of 5 red deer with a high frequency sampling. The results show that a simple random walk template can account for the spatial complexity of wild animals. The practical design of the model is also verified for detecting spatial feature abnormalities and for providing estimates of density and abundance of wild animals. Integrating even more additional features of animal movement, such as individuals’ interactions or environmental repellents, could help to better understand the spatial behavior of wild animals.Geoffroy BerthelotSonia SaïdVincent BansayeNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Geoffroy Berthelot Sonia Saïd Vincent Bansaye A random walk model that accounts for space occupation and movements of a large herbivore
description	Abstract Animal movement has been identified as a key feature in understanding animal behavior, distribution and habitat use and foraging strategies among others. Large datasets of invididual locations often remain unused or used only in part due to the lack of practical models that can directly infer the desired features from raw GPS locations and the complexity of existing approaches. Some of them being disputed for their lack of biological justifications in their design. We propose a simple model of individual movement with explicit parameters, based on a two-dimensional biased and correlated random walk with three forces related to advection (correlation), attraction (bias) and immobility of the animal. These forces can be directly estimated using individual data. We demonstrate the approach by using GPS data of 5 red deer with a high frequency sampling. The results show that a simple random walk template can account for the spatial complexity of wild animals. The practical design of the model is also verified for detecting spatial feature abnormalities and for providing estimates of density and abundance of wild animals. Integrating even more additional features of animal movement, such as individuals’ interactions or environmental repellents, could help to better understand the spatial behavior of wild animals.
format	article
author	Geoffroy Berthelot Sonia Saïd Vincent Bansaye
author_facet	Geoffroy Berthelot Sonia Saïd Vincent Bansaye
author_sort	Geoffroy Berthelot
title	A random walk model that accounts for space occupation and movements of a large herbivore
title_short	A random walk model that accounts for space occupation and movements of a large herbivore
title_full	A random walk model that accounts for space occupation and movements of a large herbivore
title_fullStr	A random walk model that accounts for space occupation and movements of a large herbivore
title_full_unstemmed	A random walk model that accounts for space occupation and movements of a large herbivore
title_sort	random walk model that accounts for space occupation and movements of a large herbivore
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/b013da8a5b274825915587f0abac4846
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A random walk model that accounts for space occupation and movements of a large herbivore

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