Big data analyses reveal patterns and drivers of the movements of southern elephant seals
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 age...
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ftunivtasecite:oai:ecite.utas.edu.au:115541 2023-05-15T16:05:38+02:00 Big data analyses reveal patterns and drivers of the movements of southern elephant seals Rodriguez, JP Fernandez-Gracia, J Thums, M Hindell, MA Sequeira, AMM Meekan, MG Costa, DP Guinet, C Harcourt, RG McMahon, CR Muelbert, M Duarte, CM Eguiluz, VM 2017 application/pdf https://doi.org/10.1038/s41598-017-00165-0 http://www.ncbi.nlm.nih.gov/pubmed/28273915 http://ecite.utas.edu.au/115541 en eng Nature Publishing Group http://ecite.utas.edu.au/115541/1/115541 online.pdf http://dx.doi.org/10.1038/s41598-017-00165-0 http://purl.org/au-research/grants/arc/A00104696 Rodriguez, JP and Fernandez-Gracia, J and Thums, M and Hindell, MA and Sequeira, AMM and Meekan, MG and Costa, DP and Guinet, C and Harcourt, RG and McMahon, CR and Muelbert, M and Duarte, CM and Eguiluz, VM, Big data analyses reveal patterns and drivers of the movements of southern elephant seals, Scientific Reports, 7 Article 112. ISSN 2045-2322 (2017) [Refereed Article] http://www.ncbi.nlm.nih.gov/pubmed/28273915 http://ecite.utas.edu.au/115541 Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Refereed Article PeerReviewed 2017 ftunivtasecite https://doi.org/10.1038/s41598-017-00165-0 2019-12-13T22:15:21Z 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. Article in Journal/Newspaper Elephant Seals Mirounga leonina Southern Elephant Seals Southern Ocean eCite UTAS (University of Tasmania) Southern Ocean Scientific Reports 7 1 |
institution |
Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) |
spellingShingle |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Rodriguez, JP Fernandez-Gracia, J Thums, M Hindell, MA Sequeira, AMM Meekan, MG Costa, DP Guinet, C Harcourt, RG McMahon, CR Muelbert, M Duarte, CM Eguiluz, VM Big data analyses reveal patterns and drivers of the movements of southern elephant seals |
topic_facet |
Biological Sciences Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) |
description |
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 in Journal/Newspaper |
author |
Rodriguez, JP Fernandez-Gracia, J Thums, M Hindell, MA Sequeira, AMM Meekan, MG Costa, DP Guinet, C Harcourt, RG McMahon, CR Muelbert, M Duarte, CM Eguiluz, VM |
author_facet |
Rodriguez, JP Fernandez-Gracia, J Thums, M Hindell, MA Sequeira, AMM Meekan, MG Costa, DP Guinet, C Harcourt, RG McMahon, CR Muelbert, M Duarte, CM Eguiluz, VM |
author_sort |
Rodriguez, JP |
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 Publishing Group |
publishDate |
2017 |
url |
https://doi.org/10.1038/s41598-017-00165-0 http://www.ncbi.nlm.nih.gov/pubmed/28273915 http://ecite.utas.edu.au/115541 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Elephant Seals Mirounga leonina Southern Elephant Seals Southern Ocean |
genre_facet |
Elephant Seals Mirounga leonina Southern Elephant Seals Southern Ocean |
op_relation |
http://ecite.utas.edu.au/115541/1/115541 online.pdf http://dx.doi.org/10.1038/s41598-017-00165-0 http://purl.org/au-research/grants/arc/A00104696 Rodriguez, JP and Fernandez-Gracia, J and Thums, M and Hindell, MA and Sequeira, AMM and Meekan, MG and Costa, DP and Guinet, C and Harcourt, RG and McMahon, CR and Muelbert, M and Duarte, CM and Eguiluz, VM, Big data analyses reveal patterns and drivers of the movements of southern elephant seals, Scientific Reports, 7 Article 112. ISSN 2045-2322 (2017) [Refereed Article] http://www.ncbi.nlm.nih.gov/pubmed/28273915 http://ecite.utas.edu.au/115541 |
op_doi |
https://doi.org/10.1038/s41598-017-00165-0 |
container_title |
Scientific Reports |
container_volume |
7 |
container_issue |
1 |
_version_ |
1766401531653914624 |