Big-data approaches lead to an increased understanding of the ecology of animal movement

Ran Nathan*, Christopher T. Monk, Robert Arlinghaus, Timo Adam, Josep Alós, Michael Assaf, Henrik Baktoft, Christine E. Beardsworth, Michael G. Bertram, Allert I. Bijleveld, Tomas Brodin, Jill L. Brooks, Andrea Campos-Candela, Steven J. Cooke, Karl Ø. Gjelland, Pratik R. Gupte, Roi Harel, Gustav Hellström, Florian Jeltsch, Shaun S. KillenThomas Klefoth, Roland Langrock, Robert J. Lennox, Emmanuel Lourie, Joah R. Madden, Yotam Orchan, Ine S. Pauwels, Milan Říha, Manuel Roeleke, Ulrike E. Schlägel, David Shohami, Johannes Signer, Sivan Toledo, Ohad Vilk, Samuel Westrelin, Mark A. Whiteside, Ivan Jarić

*Corresponding author for this work

Research output: Contribution to journalLiterature reviewpeer-review

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Abstract

Understanding animal movement is essential to elucidate how animals interact, survive, and thrive in a changing world. Recent technological advances in data collection and management have transformed our understanding of animal “movement ecology” (the integrated study of organismal movement), creating a big-data discipline that benefits from rapid, cost-effective generation of large amounts of data on movements of animals in the wild. These high-throughput wildlife tracking systems now allow more thorough investigation of variation among individuals and species across space and time, the nature of biological interactions, and behavioral responses to the environment. Movement ecology is rapidly expanding scientific frontiers through large interdisciplinary and collaborative frameworks, providing improved opportunities for conservation and insights into the movements of wild animals, and their causes and consequences.
Original languageEnglish
Article numbereabg1780
Number of pages13
JournalScience
Volume375
Issue number6582
DOIs
Publication statusPublished - 18 Feb 2022

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