Show simple item record Wallace, Bryan en_US Finkbeiner, Elena en_US 2011-06-21T17:32:21Z 2011-06-21T17:32:21Z 2010 en_US
dc.identifier.citation Wallace,Bryan P.;DiMatteo,Andrew D.;Hurley,Brendan J.;Finkbeiner,Elena M.;Bolten,Alan B.;Chaloupka,Milani Y.;Hutchinson,Brian J.;Alberto Abreu-Grobois,F.;Amorocho,Diego;Bjorndal,Karen A.;Bourjea,Jerome;Bowen,Brian W.;Briseno Duenas,Raquel;Casale,Paolo;Choudhury,B. C.;Costa,Alice;Dutton,Peter H.;Fallabrino,Alejandro;Girard,Alexandre;Girondot,Marc;Godfrey,Matthew H.;Hamann,Mark;Lopez-Mendilaharsu,Milagros;Marcovaldi,Maria Angela;Mortimer,Jeanne A.;Musick,John A.;Nel,Ronel;Pilcher,Nicolas J.;Seminoff,Jeffrey A.;Troeng,Sebastian;Witherington,Blair;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): e15465-e15465. en_US
dc.identifier.issn 1932-6203 en_US
dc.description.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. en_US
dc.language.iso en_US en_US
dc.relation.isversionof doi:10.1371/journal.pone.0015465 en_US
dc.subject loggerhead sea-turtles en_US
dc.subject evolutionarily-significant-units en_US
dc.subject caretta-caretta en_US
dc.subject chelonia-mydas en_US
dc.subject mitochondrial-dna en_US
dc.subject green turtles en_US
dc.subject population-structure en_US
dc.subject genetic-structure en_US
dc.subject dermochelys-coriacea en_US
dc.subject satellite tracking en_US
dc.subject biology en_US
dc.subject multidisciplinary sciences en_US
dc.title Regional Management Units for Marine Turtles: A Novel Framework for Prioritizing Conservation and Research across Multiple Scales en_US
dc.title.alternative en_US
dc.description.version Version of Record en_US 2010-12-17 en_US
duke.description.endpage e15465 en_US
duke.description.issue 12 en_US
duke.description.startpage e15465 en_US
duke.description.volume 5 en_US
dc.relation.journal Plos One en_US

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