Review article - Peer-reviewed, 2022
Show more authors
Big-data approaches lead to an increased understanding of the ecology of animal movement
Nathan, Ran; Monk, Christopher T.; Arlinghaus, Robert; Adam, Timo; Alos, Josep; Assaf, Michael; Baktoft, Henrik; Beardsworth, Christine E.; Bertram, Michael G.; Bijleveld, Allert, I; Brodin, Tomas; Brooks, Jill L.; Campos-Candela, Andrea; Cooke, Steven J.; Gjelland, Karl O.; Gupte, Pratik R.; Harel, Roi; Hellstrom, Gustav; Jeltsch, Florian; Killen, Shaun S.;Show more authors
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.Published in
Science2022, volume: 375, number: 6582, article number: eabg1780
Authors' information
Nathan, Ran
Hebrew University of Jerusalem
Monk, Christopher T.
Institute of Marine Research - Norway
Monk, Christopher T.
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Monk, Christopher T.
University of Agder
Arlinghaus, Robert
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Arlinghaus, Robert
Humboldt University of Berlin
Adam, Timo
University of St Andrews
Alos, Josep
Universitat de les Illes Balears
Assaf, Michael
Hebrew University of Jerusalem
Baktoft, Henrik
Technical University of Denmark
Beardsworth, Christine E.
Utrecht University
Beardsworth, Christine E.
University of Exeter
Swedish University of Agricultural Sciences, Department of Wildlife, Fish and Environmental Studies
Bijleveld, Allert
Utrecht University
Swedish University of Agricultural Sciences, Department of Wildlife, Fish and Environmental Studies
Brooks, Jill L.
Carleton University
Campos-Candela, Andrea
Universitat de les Illes Balears
Campos-Candela, Andrea
Leibniz Institut fur Gewasserokologie und Binnenfischerei (IGB)
Cooke, Steven J.
Carleton University
Gjelland, Karl O.
Norwegian Institute Nature Research
UKÄ Subject classification
Ecology
Publication Identifiers
DOI: https://doi.org/10.1126/science.abg1780
URI (permanent link to this page)
https://res.slu.se/id/publ/116240