TY - JOUR A1 - Nathan, Ran A1 - Monk, Christopher T. A1 - Arlinghaus, Robert A1 - Adam, Timo A1 - Alós, Josep A1 - Assaf, Michael A1 - Baktoft, Henrik A1 - Beardsworth, Christine E. A1 - Bertram, Michael G. A1 - Bijleveld, Allert A1 - Brodin, Tomas A1 - Brooks, Jill L. A1 - Campos-Candela, Andrea A1 - Cooke, Steven J. A1 - Gjelland, Karl O. A1 - Gupte, Pratik R. A1 - Harel, Roi A1 - Hellstrom, Gustav A1 - Jeltsch, Florian A1 - Killen, Shaun S. A1 - Klefoth, Thomas A1 - Langrock, Roland A1 - Lennox, Robert J. A1 - Lourie, Emmanuel A1 - Madden, Joah R. A1 - Orchan, Yotam A1 - Pauwels, Ine S. A1 - Riha, Milan A1 - Röleke, Manuel A1 - Schlägel, Ulrike A1 - Shohami, David A1 - Signer, Johannes A1 - Toledo, Sivan A1 - Vilk, Ohad A1 - Westrelin, Samuel A1 - Whiteside, Mark A. A1 - Jaric, Ivan T1 - Big-data approaches lead to an increased understanding of the ecology of animal movement JF - Science N2 - 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. Y1 - 2022 U6 - https://doi.org/10.1126/science.abg1780 SN - 0036-8075 SN - 1095-9203 VL - 375 IS - 6582 SP - 734 EP - + PB - American Assoc. for the Advancement of Science CY - Washington ER -