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 Data from Macquarie Island, Davis and Casey Stations was sourced from the Integrated...
Published in: | Scientific Reports |
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Main Authors: | , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
Springer Nature
2017
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Subjects: | |
Online Access: | http://hdl.handle.net/10754/622995 https://doi.org/10.1038/s41598-017-00165-0 |
Summary: | 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 Data from Macquarie Island, Davis and Casey Stations was sourced from the Integrated Marine Observing System (IMOS) - IMOS is a national collaborative research infrastructure, supported by Australian Government. The Australian Antarctic Division provided logistical support for those deployments. A.M.M.S. was supported by an IOMRC (UWA/AIMS/CSIRO) collaborative Postdoctoral Fellowship (Australia) and by ARC grant DE170100841; J.P.R. acknowledges support by the FPU program of MECD (Spain); J.F.G. is supported by NIH grant U54GM088558-06 (Lipsitch); M.M. acknowledges support from CNPq; V.M.E. acknowledges support from SPASIMM (FIS2016-80067-P (AEI/FEDER, UE)). Research reported in this publication was supported by research funding from King Abdullah University of Science and Technology (KAUST). |
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