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

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

Research output: Contribution to journalA1: Web of Science-articlepeer-review

2 Downloads (Pure)


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
JournalScience (Washington)
Issue number6582
Publication statusPublished - 18-Feb-2022

Thematic List 2020

  • Wildlife management

Cite this