Mapping sage-grouse fence-collision risk: Spatially explicit models for targeting conservation implementation

Bryan S. Stevens, David E. Naugle, Brian Dennis, John W. Connelly, Tim Griffiths, Kerry P. Reese

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Recent research suggested greater sage-grouse (Centrocercus urophasianus; hereafter, sagegrouse) fence collision may be widespread, and fence-marking methods have been developed for reducing prairie-grouse collision in sagebrush-steppe habitats. However, research also suggested sage-grouse collision was highly variable, and managers implementing mitigation desire targeting tools to prioritize mitigation efforts as a function of risk. We fit collision-risk models using widely available covariates to a sage-grouse fence-collision data set from Idaho, USA, and developed spatially explicit versions of the top model for all known sage-grouse breeding habitats (i.e., within 3 km of leks) in 10 of 11 western states where sage-grouse are found. Our models prioritize breeding habitats for mitigation as a function of terrain ruggedness and distance to nearest lek, and suggest that a relatively small proportion of the total landscape (6-14%) in each state would result in >1 collision over a lekking season. Managers can use resulting models to prioritize fence-marking by focusing efforts on high risk landscapes. Moreover, our models provide a spatially explicit tool to efficiently target conservation investments, and exemplify the way that researchers and managers can work together to turn scientific understanding into effective conservation solutions.

Original languageEnglish
Pages (from-to)409-415
Number of pages7
JournalWildlife Society Bulletin
Volume37
Issue number2
DOIs
StatePublished - Jun 2013

Keywords

  • Avian collision
  • Centrocercus urophasianus
  • Collision mitigation
  • Fence collision
  • Fence markers
  • Infrastructure marking
  • Sage-grouse

Fingerprint

Dive into the research topics of 'Mapping sage-grouse fence-collision risk: Spatially explicit models for targeting conservation implementation'. Together they form a unique fingerprint.

Cite this