Regional management units for marine turtles: a novel framework for prioritizing conservation and research across multiple scales

Wallace, Bryan P., DiMatteo, Andrew D., Hurley, Brendan J., Finkbeiner, Elena M., Bolten, Alan B., Chaloupka, Milani Y., Hutchinson, Brian J., Abreu-Grobois, F. Alberto, Amorocho, Diego, Bjorndal, Karen A., Bourjea, Jerome, Bowen, Brian W., Dueñas, Raquel Briseño, Casale, Paolo, Choudhury, B.C., Costa, Alice, Dutton, Peter H., Fallabrino, Alejandro, Girard, Alexandre, Girondot, Marc, Godfrey, Matthew H., Hamann, Mark, López- Mendilaharsu, Milagros, Marcovaldi, Maria Angela, Mortimer, Jeanne A., Musick, John A., Nel, Ronel, Pilcher, Nicolas J., Seminoff, Jeffery A., Troëng, Sebastian, Witherington, Blair, and Mast, Roderic B. (2010) Regional management units for marine turtles: a novel framework for prioritizing conservation and research across multiple scales. PLoS ONE, 5 (12). pp. 1-11.

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Abstract

Background: Resolving threats to widely distributed marine megafauna requires definition of the geographic distributions of both the threats as well as the population unit(s) of interest. In turn, because individual threats can operate on varying spatial scales, their impacts can affect different segments of a population of the same species. Therefore, integration of multiple tools and techniques — including site-based monitoring, genetic analyses, mark-recapture studies and telemetry — can facilitate robust definitions of population segments at multiple biological and spatial scales to address different management and research challenges.

Methodology/Principal Findings: To address these issues for marine turtles, we collated all available studies on marine turtle biogeography, including nesting sites, population abundances and trends, population genetics, and satellite telemetry. We georeferenced this information to generate separate layers for nesting sites, genetic stocks, and core distributions of population segments of all marine turtle species. We then spatially integrated this information from fine- to coarse-spatial scales to develop nested envelope models, or Regional Management Units (RMUs), for marine turtles globally.

Conclusions/Significance: The RMU framework is a solution to the challenge of how to organize marine turtles into units of protection above the level of nesting populations, but below the level of species, within regional entities that might be on independent evolutionary trajectories. Among many potential applications, RMUs provide a framework for identifying data gaps, assessing high diversity areas for multiple species and genetic stocks, and evaluating conservation status of marine turtles. Furthermore, RMUs allow for identification of geographic barriers to gene flow, and can provide valuable guidance to marine spatial planning initiatives that integrate spatial distributions of protected species and human activities. In addition, the RMU framework — including maps and supporting metadata — will be an iterative, user-driven tool made publicly available in an online application for comments, improvements, download and analysis.

Item ID: 16929
Item Type: Article (Refereed Research - C1)
Additional Information:

This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.

ISSN: 1932-6203
Date Deposited: 17 May 2011 21:43
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0502 Environmental Science and Management > 050202 Conservation and Biodiversity @ 100%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960506 Ecosystem Assessment and Management of Fresh, Ground and Surface Water Environments @ 100%
Citation Count from Web of Science Web of Science 2
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