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. https://dx.doi.org/10.1126/science.abg1780
In: Science (Washington). American Association for the Advancement of Science: New York, N.Y. ISSN 0036-8075; e-ISSN 1095-9203, meer
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