4.1 Article

Use of Modified Snares to Estimate Bobcat Abundance

期刊

WILDLIFE SOCIETY BULLETIN
卷 36, 期 2, 页码 257-263

出版社

WILEY
DOI: 10.1002/wsb.137

关键词

bobcat; carnivore; DNA; hair snare; Lynx rufus; Michigan; mark-recapture; population estimation; semi-passive sampling

资金

  1. Federal Aid in Wildlife Restoration Act under Pittman-Robertson [W-147-R]
  2. Safari Club International Foundation
  3. Safari Club International-Michigan Involvement Committee
  4. Mississippi State University's Forest and Wildlife Research Center, Michigan Department of Natural Resources, and Wildlife Unlimited of Delta County

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Although genetic and analytical methods for estimating wildlife abundance have improved rapidly over the last decade, effective methods for collecting hair samples from terrestrial carnivores in a mark-recapture framework have lagged. Hair samples are generally collected using methods that permit sampling of multiple individuals during a single sampling period that can cause genotyping errors due to cross-contamination. We evaluated a modified body snare as a single-sample method to obtain bobcat hair samples suitable for individual identification using DNA analyses to estimate population size. We used a systematic grid (2.5 x 2.5 km) overlaid on a 278.5 km(2) study area in Michigan's Upper Peninsula to distribute sampling effort. In each of 44 grid cells, we placed 2-6 snares at established sampling stations and collected hair samples weekly for 8 weeks during January-March 2010. We collected 230 hair samples overall, with 91% of sampling stations obtaining at least 1 hair sample. Fifty-seven percent of samples had sufficient DNA for species identification, which included bobcat (Lynx rufus, n = 17); raccoon (Procyon lotor, n = 62); coyote, dog, or wolf (Canis spp., n = 29); fox (Vulpes vulpes or Urocyon cinereoargenteus, n = 4); and fisher (Martes pennanti, n = 1). We identified 8 individual bobcats and using Huggins closed capture population models with a one-half mean maximum distance moved buffer, estimated 10 individuals within the trapping area (95% confidence interval = 8-28) with a density of 3.0 bobcats100 km(2). Our method provides an effective, single-sample technique for detecting bobcats and estimating abundance. (C) 2012 The Wildlife Society.

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