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

Ran NathanChristopher T MonkRobert ArlinghausTimo AdamJosep AlósMichael AssafHenrik BaktoftChristine E BeardsworthMichael G BertramAllert I BijleveldTomas BrodinJill L BrooksAndrea Campos-CandelaSteven J CookeKarl Øystein GjellandPratik Rajan GupteRoi HarelGustav HellströmFlorian JeltschShaun S KillenThomas KlefothRoland LangrockRobert J LennoxEmmanuel LourieJoah Robert MaddenYotam OrchanIne S PauwelsMilan ŘíhaManuel RoelekeUlrike E SchlägelDavid ShohamiJohannes SignerSivan ToledoOhad VilkSamuel WestrelinMark A WhitesideIvan Jarić
Published in: Science (New York, N.Y.) (2022)
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.
Keyphrases
  • big data
  • artificial intelligence
  • machine learning
  • high throughput
  • electronic health record
  • single cell
  • quality improvement
  • genetic diversity