| Literature DB >> 35175823 |
Ran Nathan1,2, Christopher T Monk3,4,5, Robert Arlinghaus5,6, Timo Adam7, Josep Alós8, Michael Assaf9, Henrik Baktoft10, Christine E Beardsworth11,12, Michael G Bertram13, Allert I Bijleveld11, Tomas Brodin13, Jill L Brooks14, Andrea Campos-Candela5,8, Steven J Cooke14, Karl Ø Gjelland15, Pratik R Gupte11,16, Roi Harel1,2, Gustav Hellström13, Florian Jeltsch17,18, Shaun S Killen19, Thomas Klefoth20, Roland Langrock21, Robert J Lennox22, Emmanuel Lourie1,2, Joah R Madden12, Yotam Orchan1,2, Ine S Pauwels23, Milan Říha24, Manuel Roeleke17, Ulrike E Schlägel17, David Shohami1,2, Johannes Signer25, Sivan Toledo2,26, Ohad Vilk1,2,9, Samuel Westrelin27, Mark A Whiteside12,28, Ivan Jarić24,29.
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.Entities:
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Year: 2022 PMID: 35175823 DOI: 10.1126/science.abg1780
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728