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Biodiversity and Conservation

, Volume 22, Issue 11, pp 2583–2605 | Cite as

Evaluating population connectivity for species of conservation concern in the American Great Plains

  • Samuel A. CushmanEmail author
  • Erin L. Landguth
  • Curtis H. Flather
Original Paper

Abstract

Habitat loss and fragmentation are widely recognized as among the most important threats to global biodiversity. New analytical approaches are providing an improved ability to predict the effects of landscape change on population connectivity at vast spatial extents. This paper presents an analysis of population connectivity for three species of conservation concern [swift fox (Vulpes velox); lesser prairie-chicken (Tympanuchus pallidicinctus); massasuaga (Sistrurus catenatus)] across the American Great Plains region. We used factorial least-cost path and resistant kernel analyses to predict effects of landscape conditions on corridor network connectivity. Our predictions of population connectivity provide testable hypotheses about the location of core habitats, corridors, and barriers to movement. The results indicate that connectivity is more sensitive to a species’ dispersal ability than variation in landscape resistance to movement. Thus, it may prove difficult to optimize conservation strategies to maintain population connectivity for multiple species with disparate dispersal abilities and independent distributions.

Keywords

Connectivity Resistant kernel UNICOR Swift fox Lesser prairie chicken Massasauga 

Notes

Acknowledgments

We gratefully acknowledge the funding assistance provided by the U.S. Fish and Wildlife Service through the Great Plains Landscape Conservation Cooperative and the input provided by James Broska, GPLCC Science Coordinator. We also want to thank the constructive comments provided by two anonymous reviewers that improved our manuscript.

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Copyright information

© Springer Science+Business Media Dordrecht (outside the USA)  2013

Authors and Affiliations

  • Samuel A. Cushman
    • 1
    Email author
  • Erin L. Landguth
    • 2
  • Curtis H. Flather
    • 3
  1. 1.Rocky Mountain Research StationUSDA Forest ServiceFlagstaffUSA
  2. 2.Computational Ecology Laboratory, Division of Biological SciencesUniversity of MontanaMissoulaUSA
  3. 3.Rocky Mountain Research StationUSDA Forest ServiceFort CollinsUSA

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