Abstract: Snow leopard distribution knowledge is a critical conservation need. During the 2003 Snow Leopard Symposium, a pressing demand for a comprehensive collection of observation data became apparent. Expanding the knowledge of population distribution will help identify areas for conservation and add validity to the potential range map developed by Hunter and Jackson (1997). An equally strong need is an analysis of the extent of protected-area coverage of snow leopard habitat. Another crucial requirement is accurate representation and immediate availability of data to researchers throughout the range.
This project was developed in cooperation with the International Snow Leopard Trust, the Snow Leopard Conservancy, and International Center of Applied Ecology. It is also supported by the Snow Leopard Network, an affiliation of individuals working together to establish effective conservation of the snow leopard throughout Inner Asia. The specific goals of this project are to collect and graphically depict existent knowledge of snow leopard distribution and identify areas lacking data; evaluate the potential range map; assess protected areas to see if snow leopards occur indiscriminately; and produce an internet geographical database and interactive mapping service for research.
This thesis validates the potential range map created by Jackson and Hunter (1997). The majority of sightings (88%) fall within the modeled potential range. This suggests that the map is accurate in representing habitat that supports snow leopards. The thesis also highlights varying degrees of support for protected areas. Most of the potential range lies outside of protected areas. Consequently, most countries contain less than 47 percent of their sightings within protected area boundaries.
This thesis organized and analyzed existing snow leopard data in a geodatabase to evaluate the potential range map and effectiveness of protected areas throughout the range. The geodatabase and internet mapping service provides a standardized method of data exchange and communication among researchers. This is a small step forward in the conservation of the snow leopard, but creates a necessary foundation for future collaborative data exchange projects to follow. The technologies and methodologies used here should be expanded to meet the individual needs of projects.

Abstract: Snow leopards (Panthera uncia) are elusive endangered carnivores found in remote mountain regions of Central Asia. New methods for identifying and counting snow leopards are needed for conservation and management efforts. To develop molecular genetic tools for individual identification of hair and faecal samples, we screened 50 microsatellite loci developed for the domestic cat (Felis catus) in 19 captive snow leopards. Forty-eight loci were polymorphic with numbers of alleles per locus ranging from two to 11. The probability of observing matching genotypes for unrelated individuals (2.1 x10-11) and siblings (7.5x10-5) using the 10 most polymorphic loci was low, suggesting that this panel would easily discriminate among individuals in the wild.

Abstract: The main purpose of this work was to study the use of infrared trapping cameras to estimate snow leopard Uncia uncia population size in a specific study area. This is the first time a study of this nature has taken place in China. During 71 days of field work, a total of 36 cameras were set up in five different small vales of the Muzat Valley adjacent to the Tomur Nature Reserve in Xinjiang Province, E80ø35' – 81ø00' and N42ø00' – 42ø10', elevation 2'300 – 3'000 m, from 18th October to 27th December 2005. We expended approximately 2094 trap days and nights total (c. 50'256 hours). At least 32 pictures of snow leopards, 22 pictures of other wild species (e.g. chukor, wild pig, ibex, red fox, cape hare) and 72 pictures of livestock were taken by the passive Cam Trakker (CT) train monitor in about 16 points of the Muzat Valley. The movement distance of snow leopard was 3-10 km/day. And the capture rate or photographic rate of snow leopard was 1.53%. Meanwhile, 20 transects were run and 31 feces sample were collected. According to 32 photos, photographic rate and sign survey after snowing on the spot, were about 5-8 individuals of snow leopards in the research area, and the minimum density of snow leopard in Muzat Valley was 2.0 – 3.2 individuals/100 km2. We observed the behavior of ibex for 77.3 hours, and found about 20 groups and a total of approximately 264 ibexes in the research area.

Abstract: Meeting report for the Central Asia Snow Leopard Workshop, held in Bishkek in June 2006.

Abstract: Conservation and management of snow leopards (Uncia uncial) has largely relied on anecdotal evidence and presence-absence data due to their cryptic nature and the difficult terrain they inhabit. These methods generally lack the scientific rigor necessary to accurately estimate population size and monitor trends. We evaluated the use of photography in capture-mark-recapture (CMR) techniques for estimating snow leopard population abundance and density within Hemis National Park, Ladakh, India. We placed infrared camera traps along actively used travel paths, scent-sprayed rocks, and scrape sites within 16-30 kmý sampling grids in successive winters during January and March 2003-2004. We used head-on, oblique, and side-view camera configurations to obtain snow leopard photographs at varying body orientations. We calculated snow leopard abundance estimates using the program CAPTURE. We obtained a total of 66 and 49 snow leopard captures resulting in 8.91 and 5.63 individuals per 100 trap nights during 2003 and 2004, respectively. We identified snow leopards based on the distinct pelage patters located primarily on the forelimbs, flanks, and dorsal surface of the tail. Capture probabilities ranged from 0.33 to 0.67. Density estimates ranged from 8.49 (SE+0.22) individuals per 100 kmý in 2003 to 4.45 (SE+0.16) in 2004. We believe the density disparity between years is attributable to different trap density and placement rather than to an actual decline in population size. Our results suggest that photographic capture-mark-recapture sampling may be a useful tool for monitoring demographic patterns. However, we believe a larger sample size would be necessary for generating a statistically robust estimate of population density and abundance based on CMR models.