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Big-data approaches lead to an increased understanding of the ecology of animal movement
Nathan, Ran; Monk, Christopher T.; Arlinghaus, Robert; Adam, Timo; Alós, 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 Ø.; Gupte, Pratik R.; Harel, Roi; Hellström, Gustav; Jeltsch, Florian; Killen, Shaun S.; Klefoth, Thomas; Langrock, Roland; Lennox, Robert J.; Lourie, Emmanuel; Madden, Joah R.; Orchan, Yotam; Pauwels, Ine S.; Říha, Milan; Roeleke, Manuel; Schlägel, Ulrike E.; Shohami, David; Signer, Johannes; Toledo, Sivan; Vilk, Ohad; Westrelin, Samuel; Whiteside, Mark A.; Jarić, Ivan (2022). Big-data approaches lead to an increased understanding of the ecology of animal movement. Science (Wash.) 375(6582): 1-14.
In: Science (Washington). American Association for the Advancement of Science: New York, N.Y. ISSN 0036-8075; e-ISSN 1095-9203, meer
Peer reviewed article  

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  • Beardsworth, C.E, meer
  • Bijleveld, A.I., meer

    So-called “big-data” approaches have revolutionized fields of research from astronomy to genetics. Such approaches are not limited to fields that seem inherently technical, because the combination of rapid data collection and advanced analytical techniques could be applied to almost any scientific question. Nathan et al. reviewed how these modern approaches are being applied to the very old field of animal tracking and monitoring. Large-scale data collection can reveal details about how animals use their environment and interact with each other that were impossible to explore previously. Such methodological shifts will open new avenues of research—and conservation—across species.

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