Regional Management Units for Marine Turtles: A Novel Framework for Prioritizing Conservation and Research across Multiple Scales - Archive ouverte HAL
Article Dans Une Revue PLoS ONE Année : 2010

Regional Management Units for Marine Turtles: A Novel Framework for Prioritizing Conservation and Research across Multiple Scales

Bryan P. Wallace
  • Fonction : Auteur
Andrew D. Dimatteo
  • Fonction : Auteur
Brendan J. Hurley
  • Fonction : Auteur
Elena M. Finkbeiner
  • Fonction : Auteur
Alan B. Bolten
  • Fonction : Auteur
Milani Y. Chaloupka
  • Fonction : Auteur
Brian J. Hutchinson
  • Fonction : Auteur
F. Alberto Abreu-Grobois
  • Fonction : Auteur
Diego Amorocho
  • Fonction : Auteur
Karen A. Bjorndal
  • Fonction : Auteur
Brian W. Bowen
  • Fonction : Auteur
Raquel Briseno Duenas
  • Fonction : Auteur
Paolo Casale
  • Fonction : Auteur
B. C. Choudhury
  • Fonction : Auteur
Alice Costa
  • Fonction : Auteur
Peter H. Dutton
  • Fonction : Auteur
Alejandro Fallabrino
  • Fonction : Auteur
Adrian Girard
  • Fonction : Auteur
Marc Girondot
  • Fonction : Auteur
Matthew H. Godfrey
  • Fonction : Auteur
Meike Hamann
  • Fonction : Auteur
Milagros Lopez-Mendilaharsu
  • Fonction : Auteur
Maria Angela Marcovaldi
  • Fonction : Auteur
Jeanne A. Mortimer
  • Fonction : Auteur
John A. Musick
  • Fonction : Auteur
Ronel Nel
  • Fonction : Auteur
Nicolas J. Pilcher
  • Fonction : Auteur
Jeffrey A. Seminoff
  • Fonction : Auteur
Sebastian Troeng
  • Fonction : Auteur
Blair Witherington
  • Fonction : Auteur
Roderic B. Mast
  • Fonction : Auteur

Résumé

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.

Dates et versions

hal-04498890 , version 1 (11-03-2024)

Identifiants

Citer

Bryan P. Wallace, Andrew D. Dimatteo, Brendan J. Hurley, Elena M. Finkbeiner, Alan B. Bolten, et al.. Regional Management Units for Marine Turtles: A Novel Framework for Prioritizing Conservation and Research across Multiple Scales. PLoS ONE, 2010, 5 (12), ⟨10.1371/journal.pone.0015465⟩. ⟨hal-04498890⟩
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