2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961460
Nathan, R., Monk, C.T., Arlinghaus, R., Adam, T., Alos, J., Assaf, M., Baktoft, H., Beardsworth, C.E., Bertram, M.G., Bijleveld, A.I., Brodin, T., Brooks, J.L., Campos-Candela, A., Cooke, S.J., Gjelland, K.O., Gupte, P.R., Harel, R., Hellstrom, G., Jeltsch, F., Killen, S.S., Klefoth, T., Langrock, R., Lennox, R.J., Lourie, E., Madden, J.R., Orchan, Y., Pauwels, I.S., Riha, M., Roeleke, M., Schlagel, U.E., Shohami, D., Signer, J., Toledo, S., Vilk, O., Westrelin, S., Whiteside, M.A., Jaric, I.: Big-data approaches lead to an increased understanding of the ecology of animal movement. Science. 375, : eabg1780 (2022).
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