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Get Free AccessSignificance Understanding the key drivers of animal movement is crucial to assist in mitigating adverse impacts of anthropogenic activities on marine megafauna. We found that movement patterns of marine megafauna are mostly independent of their evolutionary histories, differing significantly from patterns for terrestrial animals. We detected a remarkable convergence in the distribution of speed and turning angles across organisms ranging from whales to turtles (epitome for the slowest animals on land but not at sea). Marine megafauna show a prevalence of movement patterns dominated by search behavior in coastal habitats compared with more directed, ballistic movement patterns when the animals move across the open ocean. The habitats through which they move will therefore need to be considered for effective conservation.
Ana M. M. Sequeira, Jorge Rodríguez, Victor M. Eguı́luz, Robert Harcourt, Mark A. Hindell, David Sims, Carlos M. Duarte, Daniel P. Costa, Juan Fernández-Gracia, Luciana C. Ferreira, Graeme C. Hays, Michelle R. Heupel, Mark G. Meekan, Allen M. Aven, Frédéric Bailleul, Alastair M. M. Baylis, Michael L. Berumen, Camrin D. Braun, Jennifer M. Burns, M. Julian Caley, Rose Campbell, Ruth H. Carmichael, Éric Clua, Luke D. Einoder, Ari S. Friedlaender, Michael E. Goebel, Simon D. Goldsworthy, Christophe Guinet, John Gunn, Derek J. Hamer, Neil Hammerschlag, Mary Hammill, Luis A. Hückstädt, Nicolas E. Humphries, Mary‐Anne Lea, Andrew Lowther, Alice I. Mackay, Elizabeth A. McHuron, J. Douglas McKenzie, Lachlan J. McLeay, Clive R. McMahon, Kerrie Mengersen, Mônica M. C. Muelbert, Anthony M. Pagano, Brad Page, Nuno Queiroz, Patrick W. Robinson, Scott A. Shaffer, Mahmood Shivji, Gregory B. Skomal, Simon R. Thorrold, Stella Villegas‐Amtmann, Madison T Weise, Randall S. Wells, Bradley M. Wetherbee, Annelise Wiebkin, Bárbara Wienecke, Michele Thums (2018). Convergence of marine megafauna movement patterns in coastal and open oceans. , 115(12), DOI: https://doi.org/10.1073/pnas.1716137115.
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Type
Article
Year
2018
Authors
58
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1073/pnas.1716137115
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