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Therefore, if densities of pumas can be estimated through camera trapping, the numerous studies conducting camera trapping for jaguars likely already have the data in hand to estimate densities of pumas.
Identification of pumas as different individuals was uncommon (7.8% pairwise, 0.69% 3-way disagreement) with the remainder described as unidentifiable.
Densities of pumas varied consistently from site to site regardless of investigator.
We estimated densities of pumas following Karanth and Nichols (1998; see also Silver et al. We compared our estimates among investigators and sites and to those estimates that existed from other methods and study sites.
We also supplied recommendations for applying this technique in future studies.
Bolivian pumas moved the shortest distances between camera stations and Argentinean pumas the longest, but distances among cameras and area covered by surveys varied among sites.
We applied a correction factor to the Bolivian data to account for the small area surveyed and found that, averaged across investigator, Bolivia had significantly more pumas per 100 km 6.80 ± 1.5) than Belize (3.42 ± 1.3) or Argentina (0.67 ± 0.2).
2000), the lack of data on pumas in the Neotropics is particularly troubling because this area is currently experiencing some of the fastest habitat loss on earth.
Density estimates are critical to the development of conservation and management plans for the species.
We used obvious and subtle markings to identify individual pumas in photographs and conducted double-blind identifications to examine the degree of agreement among investigators.
Average agreement on identification between pairs of investigators was nearly 80.0% and 3-way agreement was 72.9%.