Estimating Black Bear Density Using DNA Data From Hair Snares

• DOI: 10.2193/2009-101
• Publication Date: 2010-01-27T19:16:27Z
• Authors: BETH GARDNER; J. ANDREW ROYLE; MICHAEL T. WEGAN; RAYMOND E. RAINBOLT; PAUL D. CURTIS
• Keywords: Mark and recapture

ABSTRACT DNA‐based mark‐recapture has become a methodological cornerstone of research focused on bear species. The objective such studies is often to estimate population size; however, doing so frequently complicated by movement individual bears. Movement affects the probability detection and assumption closure required in most models. To mitigate bias caused individuals, size density estimates are adjusted using ad hoc methods, including buffering minimum polygon trapping array. We used hierarchical, spatial capture‐recapture model that contains explicit components for spatial‐point process governs distribution individuals their exposure (via movement), by, traps. modeled as function each individual's distance trap an indicator variable previous capture account possible behavioral responses. applied our 2006 hair‐snare study black ( Ursus americanus ) northern New York, USA. Based microsatellite marker analysis collected hair samples, 47 were identified. estimated mean at 0.20 bears/km 2 . A positive suggests bears attracted baited sites; therefore, trap‐dependence covariate important when bait attract individuals. Bayesian was implemented WinBUGS , we provide specification. can be any spatially organized array (hair snares, camera traps, mist nests, etc.) also heterogeneity information or level.