Big data analyses reveal patterns and drivers of the movements of southern elephant seals

Abstract The growing number of large databases of animal tracking provides an opportunity for analyses of movement patterns at the scales of populations and even species. We used analytical approaches, developed to cope with “big data”, that require no ‘a priori’ assumptions about the behaviour of t...

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Autores principales:	Jorge P. Rodríguez, Juan Fernández-Gracia, Michele Thums, Mark A. Hindell, Ana M. M. Sequeira, Mark G. Meekan, Daniel P. Costa, Christophe Guinet, Robert G. Harcourt, Clive R. McMahon, Monica Muelbert, Carlos M. Duarte, Víctor M. Eguíluz
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9100f5122b96446eb26a59e66f604623
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spelling	oai:doaj.org-article:9100f5122b96446eb26a59e66f6046232021-12-02T15:05:53ZBig data analyses reveal patterns and drivers of the movements of southern elephant seals10.1038/s41598-017-00165-02045-2322https://doaj.org/article/9100f5122b96446eb26a59e66f6046232017-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00165-0https://doaj.org/toc/2045-2322Abstract The growing number of large databases of animal tracking provides an opportunity for analyses of movement patterns at the scales of populations and even species. We used analytical approaches, developed to cope with “big data”, that require no ‘a priori’ assumptions about the behaviour of the target agents, to analyse a pooled tracking dataset of 272 elephant seals (Mirounga leonina) in the Southern Ocean, that was comprised of >500,000 location estimates collected over more than a decade. Our analyses showed that the displacements of these seals were described by a truncated power law distribution across several spatial and temporal scales, with a clear signature of directed movement. This pattern was evident when analysing the aggregated tracks despite a wide diversity of individual trajectories. We also identified marine provinces that described the migratory and foraging habitats of these seals. Our analysis provides evidence for the presence of intrinsic drivers of movement, such as memory, that cannot be detected using common models of movement behaviour. These results highlight the potential for “big data” techniques to provide new insights into movement behaviour when applied to large datasets of animal tracking.Jorge P. RodríguezJuan Fernández-GraciaMichele ThumsMark A. HindellAna M. M. SequeiraMark G. MeekanDaniel P. CostaChristophe GuinetRobert G. HarcourtClive R. McMahonMonica MuelbertCarlos M. DuarteVíctor M. EguíluzNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jorge P. Rodríguez Juan Fernández-Gracia Michele Thums Mark A. Hindell Ana M. M. Sequeira Mark G. Meekan Daniel P. Costa Christophe Guinet Robert G. Harcourt Clive R. McMahon Monica Muelbert Carlos M. Duarte Víctor M. Eguíluz Big data analyses reveal patterns and drivers of the movements of southern elephant seals
description	Abstract The growing number of large databases of animal tracking provides an opportunity for analyses of movement patterns at the scales of populations and even species. We used analytical approaches, developed to cope with “big data”, that require no ‘a priori’ assumptions about the behaviour of the target agents, to analyse a pooled tracking dataset of 272 elephant seals (Mirounga leonina) in the Southern Ocean, that was comprised of >500,000 location estimates collected over more than a decade. Our analyses showed that the displacements of these seals were described by a truncated power law distribution across several spatial and temporal scales, with a clear signature of directed movement. This pattern was evident when analysing the aggregated tracks despite a wide diversity of individual trajectories. We also identified marine provinces that described the migratory and foraging habitats of these seals. Our analysis provides evidence for the presence of intrinsic drivers of movement, such as memory, that cannot be detected using common models of movement behaviour. These results highlight the potential for “big data” techniques to provide new insights into movement behaviour when applied to large datasets of animal tracking.
format	article
author	Jorge P. Rodríguez Juan Fernández-Gracia Michele Thums Mark A. Hindell Ana M. M. Sequeira Mark G. Meekan Daniel P. Costa Christophe Guinet Robert G. Harcourt Clive R. McMahon Monica Muelbert Carlos M. Duarte Víctor M. Eguíluz
author_facet	Jorge P. Rodríguez Juan Fernández-Gracia Michele Thums Mark A. Hindell Ana M. M. Sequeira Mark G. Meekan Daniel P. Costa Christophe Guinet Robert G. Harcourt Clive R. McMahon Monica Muelbert Carlos M. Duarte Víctor M. Eguíluz
author_sort	Jorge P. Rodríguez
title	Big data analyses reveal patterns and drivers of the movements of southern elephant seals
title_short	Big data analyses reveal patterns and drivers of the movements of southern elephant seals
title_full	Big data analyses reveal patterns and drivers of the movements of southern elephant seals
title_fullStr	Big data analyses reveal patterns and drivers of the movements of southern elephant seals
title_full_unstemmed	Big data analyses reveal patterns and drivers of the movements of southern elephant seals
title_sort	big data analyses reveal patterns and drivers of the movements of southern elephant seals
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/9100f5122b96446eb26a59e66f604623
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Big data analyses reveal patterns and drivers of the movements of southern elephant seals

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