Rawdatafiles for snow leopard population estimation
Cite this dataset
Sharma, Manvi (2021). Rawdatafiles for snow leopard population estimation [Dataset]. Dryad. https://doi.org/10.5061/dryad.0cfxpnw3p
1. Effective management of charismatic large carnivores requires robust monitoring of their population at local, regional and global scales. While enormous progress has been made to estimate carnivore populations at local scales, estimates at regional and global scales remain elusive. In the first systematic effort at a large regional scale, we estimated the population of the elusive snow leopard Panthera uncia over an area of 26,112 km2 in the Indian state of Himachal Pradesh.
2. We stratified the entire snow leopard habitat in Himachal Pradesh based on an occupancy survey. Subsequently, we conducted camera trapping surveys at 10 sites distributed proportionately, i.e., with similar coverage probability across the three strata. We conducted simulations to understand how unidentified captures could affect our model estimate. We also assessed populations of the primary wild ungulate prey of snow leopards – blue sheep Psuedois nayaur and Siberian ibex Capra sibirica.
3. Our results yielded a mean estimated density of 0.19 (95% CI: 0.12 – 0.31) snow leopards per 100 km2 and population size of 51 (95% CI 34 – 73) snow leopards in Himachal Pradesh. The density estimates for individual sites ranged from 0.08 to 0.37 snow leopards per 100 km2. Simulations showed that unidentified snow leopard captures did not seem to affect the accuracy of our model estimate but could have affected the precision. Wild ungulate prey density ranged from 0.11 to 1.09 per km2. Snow leopard density showed a positive linear relationship with prey density (slope = 0.25, SE = 0.08, P = 0.01, R2 = 0.51).
4. Our study shows the earlier opinion-based estimate for Himachal Pradesh to have been significantly positively biased. Using occupancy surveys to stratify large areas in order to design camera trap surveys addresses one of the common spatial sampling biases, i.e., limited sampling of only prime snow leopard habitats. Our work validates two-step approach recommended in the ongoing initiative of the 12 snow leopard range countries for Population Assessment of World’s Snow leopards (PAWS program), and cautions against the use of opinion-based estimates for assessing the status of species of critical conservation importance.
The capture history information file for snow leopards has a column called trapID. The information in this column has been encrypted to protect the location of camera traps where snow leopards were detected. Please contact the authors if you need to access this encrypted information.