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Translating marine animal tracking data into conservation policy and management

Version 2 2024-06-02, 13:54
Version 1 2019-04-11, 15:44
journal contribution
posted on 2024-06-02, 13:54 authored by Graeme HaysGraeme Hays, Helen Bailey, Steven J Bograd, W Don Bowen, Claudio Campagna, Ruth H Carmichael, Paolo Casale, Andre Chiaradia, Daniel P Costa, Eduardo Cuevas, PJ Nico de Bruyn, Maria P Dias, Carlos M Duarte, Daniel C Dunn, Peter H Dutton, Nicole Esteban, Ari Friedlaender, Kimberly T Goetz, Brendan J Godley, Patrick N Halpin, Mark Hamann, Neil Hammerschlag, Robert Harcourt, Autumn-Lynn Harrison, Elliott L Hazen, Michelle R Heupel, Erich Hoyt, Nicolas E Humphries, Connie Y Kot, James SE Lea, Helene Marsh, Sara M Maxwell, Clive R McMahon, Giuseppe Notarbartolo di Sciara, Daniel M Palacios, Richard A Phillips, David Righton, Gail Schofield, Jeffrey A Seminoff, Colin A Simpfendorfer, David W Sims, Akinori Takahashi, Michael J Tetley, Michele Thums, Philip N Trathan, Stella Villegas-Amtmann, Randall S Wells, Scott D Whiting, Natalie E Wildermann, Ana MM Sequeira
There have been efforts around the globe to track individuals of many marine species and assess their movements and distribution, with the putative goal of supporting their conservation and management. Determining whether, and how, tracking data have been successfully applied to address real-world conservation issues is, however, difficult. Here, we compile a broad range of case studies from diverse marine taxa to show how tracking data have helped inform conservation policy and management, including reductions in fisheries bycatch and vessel strikes, and the design and administration of marine protected areas and important habitats. Using these examples, we highlight pathways through which the past and future investment in collecting animal tracking data might be better used to achieve tangible conservation benefits.

History

Journal

Trends in ecology & evolution

Volume

34

Pagination

459-473

Location

Amsterdam, The Netherlands

ISSN

0169-5347

eISSN

1872-8383

Language

eng

Publication classification

C1 Refereed article in a scholarly journal

Copyright notice

2019, Elsevier Ltd.

Issue

5

Publisher

Elsevier

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