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

By Bryan P. Wallace, A. Dimatteo, Brendan J. Hurley, Elena M. Finkbeiner, A. Bolten, M. Chaloupka, B. Hutchinson, F. Abreu-Grobois, Diego Amorocho, K. Bjorndal and 22 more. PLoS ONE, 2010

688 citations recorded by the source corpus.

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.

Subfields: Ecological Modeling, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/a053a005743127f28e1877c0d4524af32cc031a8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecological Modeling

  1. Matthew H. Godfrey
  2. S. Cooke
  3. G. Hays
  4. M. Louzao
  5. C. Simpfendorfer
  6. K. Shanker
  7. K. Holland
  8. AC Broderick

In Nature and Landscape Conservation

  1. G. Hays
  2. Bj Godley
  3. AC Broderick
  4. M. Chaloupka
  5. P. Casale
  6. G. Schofield
  7. K. Bjorndal
  8. Sebastian Tröeng

Citations in the corpus