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research
Convergence of marine megafauna movement patterns in coastal and open oceans
Authors
Allen Aven
Frédéric Bailleul
+56 more
Alastair M. M. Baylis
Michael L. Berumen
Camrin D. Braun
Jennifer Burns
M. Julian Caley
R. Campbell
Ruth H. Carmichael
Eric Clua
Daniel P. Costa
Carlos M. Duarte
Víctor M. Eguíluz
Luke D. Einoder
Juan Fernández-Gracia
Luciana C. Ferreira
Ari S. Friedlaender
Michael E. Goebel
Simon D. Goldsworthy
Christophe Guinet
John Gunn
D. Hamer
Neil Hammerschlag
Mike O. Hammill
Robert Harcourt
Graeme Hays
Michelle R. Heupel
Mark Hindell
Nicolas E. Humphries
Luis A. Hückstädt
Mary-Anne Lea
Andrew D. Lowther
Alice Mackay
Elizabeth McHuron
J. McKenzie
Lachlan McLeay
Cathy R. McMahon
Mark G. Meekan
Kerrie Mengersen
Monica M. C. Muelbert
Anthony M. Pagano
B. Page
N. Queiroz
Patrick W. Robinson
Jorge P. Rodríguez
Ana M. M. Sequeira
Scott A. Shaffer
Mahmood Shivji
David W. Sims
Gregory B. Skomal
Simon R. Thorrold
Michele Thums
Stella Villegas-Amtmann
Michael Weise
Randall S. Wells
B. Wetherbee
A. Wiebkin
Barbara Wienecke
Publication date
1 September 2017
Publisher
'Proceedings of the National Academy of Sciences'
Doi
Cite
Abstract
Author Posting. © The Author(s), 2017. This is the author's version of the work. It is posted here for personal use, not for redistribution. The definitive version was published in Proceedings of the National Academy of Sciences of the United States of America 115 (2018): 3072-3077, doi:10.1073/pnas.1716137115.The extent of increasing anthropogenic impacts on large marine vertebrates partly depends on the animals’ movement patterns. Effective conservation requires identification of the key drivers of movement including intrinsic properties and extrinsic constraints associated with the dynamic nature of the environments the animals inhabit. However, the relative importance of intrinsic versus extrinsic factors remains elusive. We analyse a global dataset of 2.8 million locations from > 2,600 tracked individuals across 50 marine vertebrates evolutionarily separated by millions of years and using different locomotion modes (fly, swim, walk/paddle). Strikingly, movement patterns show a remarkable convergence, being strongly conserved across species and independent of body length and mass, despite these traits ranging over 10 orders of magnitude among the species studied. This represents a fundamental difference between marine and terrestrial vertebrates not previously identified, likely linked to the reduced costs of locomotion in water. Movement patterns were primarily explained by the interaction between species-specific traits and the habitat(s) they move through, resulting in complex movement patterns when moving close to coasts compared to more predictable patterns when moving in open oceans. This distinct difference may be associated with greater complexity within coastal micro-habitats, highlighting a critical role of preferred habitat in shaping marine vertebrate global movements. Efforts to develop understanding of the characteristics of vertebrate movement should consider the habitat(s) through which they move to identify how movement patterns will alter with forecasted severe ocean changes, such as reduced Arctic sea ice cover, sea level rise and declining oxygen content.Workshops funding granted by the UWA Oceans Institute, AIMS, and KAUST. AMMS was supported by an ARC Grant DE170100841 and an IOMRC (UWA, AIMS, CSIRO) fellowship; JPR by MEDC (FPU program, Spain); DWS by UK NERC and Save Our Seas Foundation; NQ by FCT (Portugal); MMCM by a CAPES fellowship (Ministry of Education)
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Last time updated on 07/08/2019