Wildlife managers at Kenai Fjords (KEFJ) National Park, Alaska, are developing a comprehensive bear management plan. An important first step in this plan is to establish a baseline of bear abundance and inventory approaches for future monitoring efforts. In this study we use non-invasive genetic sampling and DNA-based capture–mark–recapture (CMR) analysis to estimate abundance of American black bears (Ursus americanus) using coastal habitats in the park. We used 2 multi-session CMR models in program MARK and 2 continuous-occasion models specifically designed for DNA-based capture data in the programs CAPWIRE and BAYESN. The latter 2 models maximize data from non-invasive sampling by allowing the entire sampling period to be considered a single continuous capture–mark–recapture occasion. Although all models yielded similar point estimates of population size, confidence intervals varied widely among methods. CAPWIRE yielded the most precise estimates of bear abundance. The number of bears estimated in each KEFJ bay ranged from 73 in the least populated to 324 in the most populated bay. Overall, the continuous-occasion CMR models provided the best estimates with our dataset, and we found that this approach offers a practical option when trapping seasons are constrained by biological or logistical factors.
You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither BioOne nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the BioOne website.
Vol. 20 • No. 1