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Big-data approaches lead to an increased understanding of the ecology of animal movement
Author(s) -
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 CamposCandela,
Steven J. Cooke,
Karl Øystein Gjelland,
Pratik Rajan Gupte,
Roi Harel,
Gustav Hellström,
Florian Jeltsch,
Shaun S. Killen,
Thomas Klefoth,
Roland Langrock,
Robert J. Lennox,
E. M. Lourie,
Joah R. Madden,
Yotam Orchan,
Ine Pauwels,
Milan Říha,
Manuel Roeleke,
Ulrike E. Schlägel,
David Shohami,
Johannes Signer,
Sivan Toledo,
Ohad Vilk,
Samuel Westrelin,
Mark A. Whiteside,
Ivan Jarić
Publication year - 2022
Publication title -
science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 12.556
H-Index - 1186
eISSN - 1095-9203
pISSN - 0036-8075
DOI - 10.1126/science.abg1780
Subject(s) - movement (music) , animal behavior , ecology , wildlife , biology , data science , computer science , zoology , philosophy , aesthetics
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.

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