Seven seasonal population estimates were derived from 1989 to 1991 for grizzly bears (Ursus arctos) in the Swan Mountains of western Montana using a capture-recapture model for closed populations. Mace et al. (1994) discussed in detail the study design and population modeling procedures, which used systematic snaring for initial capture and self-activating cameras for recapture. Twenty-one marked grizzly bears within the camera grids formed the foundation for recapture analysis. We generated 27 photographic records of detections and 71 nondetections in 7 photo sessions. On average, the marked population we sampled was dominated by adult female (29.5%) and adult male (22.6%) grizzly bears. Nearly an equal number of male and female bears were detected on film, but the nondetection sample was skewed towards females (73.3%). Adult males were more frequently detected than adult females or females with young. Most detections (66.6%) were of bears with a prior history of detection. Adult males moved greater distances and consequently encountered more camera stations than other age-gender classes. Generally, movements for all age-gender classes were greatest during the spring and decreased thereafter. When the 7 photo sessions were pooled, it was shown that grizzly bears were not exposed to many camera stations (x̄ = 1.6, SD = 1.8) and bears we successfully detected were confronted with significantly more stations (x̄ = 2.30, SD = 2.3) than those we failed to detect (x̄ = 1.30, SD = 1.44). Logistic regression showed that detections decreased over time. We concluded that differential movement patterns among age-gender classes played an exceedingly important role in photographic detection. The precision of population estimates could be improved by grid densities >5-8 camera stations/100 km2 for grizzly bear populations with similar age-gender structure. Recommendations to increase and sustain precision of population estimates using cameras are provided.
- Author(s) Richard D. Mace and Timothy L. Manley and Keith E. Aune
- Volume 9
- Issue
- Pages 245-251
- Publication Date 1 January 1994
- DOI 10.2307/3872708
- File Size 370.17 KB
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