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Surveying Predicted Rendezvous Sites to Monitor Gray Wolf Populations
Authors:DAVID E AUSBAND  MICHAEL S MITCHELL  KEVIN DOHERTY  PETER ZAGER  CURT M MACK  JIM HOLYAN
Institution:1. United States Geological Survey, Montana Cooperative Wildlife Research Unit, 205 Natural Sciences Building, University of Montana, Missoula, MT 59812, USA;2. Wildlife Biology Program, College of Forestry and Conservation, University of Montana, Missoula, MT 59812, USA;3. Idaho Department of Fish and Game, 3316 16th Street, Lewiston, ID 83501, USA;4. Gray Wolf Recovery Project, Nez Perce Tribe, P.O. Box 1922, McCall, ID 83638, USA
Abstract:ABSTRACT We used rendezvous site locations of wolf (Canis lupus) packs recorded during 1996–2006 to build a predictive model of gray wolf rendezvous site habitat in Idaho, USA. Variables in our best model included green leaf biomass (Normalized Difference Vegetation Index), surface roughness, and profile curvature, indicating that wolves consistently used wet meadow complexes for rendezvous sites. We then used this predictive model to stratify habitat and guide survey efforts designed to document wolf pack distribution and fecundity in 4 study areas in Idaho. We detected all 15 wolf packs (32 wolf pack-yr) and 20 out of 27 (74%) litters of pups by surveying <11% of the total study area. In addition, we were able to obtain detailed observations on wolf packs (e.g., hair and scat samples) once we located their rendezvous sites. Given an expected decrease in the ability of managers to maintain radiocollar contact with all of the wolf packs in the northern Rocky Mountains, rendezvous sites predicted by our model can be the starting point and foundation for targeted sampling and future wolf population monitoring surveys.
Keywords:Canis lupus  gray wolf  monitoring  northern Rocky Mountains  rendezvous site  resource selection function  stratification
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