Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementation
Abstract Recent research suggested greater sage‐grouse (Centrocercus urophasianus; hereafter, sage‐grouse) 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...
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| Format: | Article |
| Language: | English |
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Wiley
2013-06-01
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| Series: | Wildlife Society Bulletin |
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| Online Access: | https://doi.org/10.1002/wsb.273 |
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| author | Bryan S. Stevens David E. Naugle Brian Dennis John W. Connelly Tim Griffiths Kerry P. Reese |
| author_facet | Bryan S. Stevens David E. Naugle Brian Dennis John W. Connelly Tim Griffiths Kerry P. Reese |
| author_sort | Bryan S. Stevens |
| collection | DOAJ |
| description | Abstract Recent research suggested greater sage‐grouse (Centrocercus urophasianus; hereafter, sage‐grouse) 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. © The Wildlife Society, 2013 |
| format | Article |
| id | doaj-art-9c186de4045c465585edd4f33199bfe6 |
| institution | OA Journals |
| issn | 2328-5540 |
| language | English |
| publishDate | 2013-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Wildlife Society Bulletin |
| spelling | doaj-art-9c186de4045c465585edd4f33199bfe62025-08-20T01:56:28ZengWileyWildlife Society Bulletin2328-55402013-06-0137240941510.1002/wsb.273Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementationBryan S. Stevens0David E. Naugle1Brian Dennis2John W. Connelly3Tim Griffiths4Kerry P. Reese5Departments of Fish and Wildlife Sciences and Statistical SciencesUniversity of IdahoP.O. Box 441136Moscow, ID83844USAWildlife Biology ProgramUniversity of MontanaMissoula, MT59812USADepartments of Fish and Wildlife Sciences and Statistical SciencesUniversity of IdahoP.O. Box 441136Moscow, ID83844USAIdaho Department of Fish and Game1345 Barton RoadPocatello, ID83204USAUnited States Department of AgricultureNatural Resources Conservation Service10 E Babcock StreetBozeman, MT59718USADepartment of Fish and Wildlife SciencesUniversity of IdahoP.O. Box 441136Moscow, ID83844USAAbstract Recent research suggested greater sage‐grouse (Centrocercus urophasianus; hereafter, sage‐grouse) 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. © The Wildlife Society, 2013https://doi.org/10.1002/wsb.273avian collisionCentrocercus urophasianuscollision mitigationfence collisionfence markersinfrastructure marking |
| spellingShingle | Bryan S. Stevens David E. Naugle Brian Dennis John W. Connelly Tim Griffiths Kerry P. Reese Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementation Wildlife Society Bulletin avian collision Centrocercus urophasianus collision mitigation fence collision fence markers infrastructure marking |
| title | Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementation |
| title_full | Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementation |
| title_fullStr | Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementation |
| title_full_unstemmed | Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementation |
| title_short | Mapping sage‐grouse fence‐collision risk: Spatially explicit models for targeting conservation implementation |
| title_sort | mapping sage grouse fence collision risk spatially explicit models for targeting conservation implementation |
| topic | avian collision Centrocercus urophasianus collision mitigation fence collision fence markers infrastructure marking |
| url | https://doi.org/10.1002/wsb.273 |
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