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Journal Articles Science Year : 2022

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

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Christopher Monk
Robert Arlinghaus
Timo Adam
Josep Alós
Michael Assaf
Henrik Baktoft
Christine Beardsworth
Michael Bertram
Allert Bijleveld
Tomas Brodin
Jill Brooks
Andrea Campos-Candela
Steven Cooke
Karl Ø. Gjelland
Pratik Gupte
Roi Harel
Gustav Hellström
Florian Jeltsch
Shaun Killen
Thomas Klefoth
  • Function : Author
Roland Langrock
Robert Lennox
  • Function : Author
Emmanuel Lourie
Joah Madden
Yotam Orchan
  • Function : Author
Ine Pauwels
Milan Říha
Manuel Roeleke
Ulrike Schlägel
David Shohami
Johannes Signer
  • Function : Author
Sivan Toledo
Ohad Vilk
Mark Whiteside
Ivan Jarić

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.

Dates and versions

hal-03821413 , version 1 (19-10-2022)

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Cite

Ran Nathan, Christopher Monk, Robert Arlinghaus, Timo Adam, Josep Alós, et al.. Big-data approaches lead to an increased understanding of the ecology of animal movement. Science, 2022, 375 (6582), pp.1-15. ⟨10.1126/science.abg1780⟩. ⟨hal-03821413⟩
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