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: The Wakhan Corridor in northeast Afghanistan is an area known for relatively abundant wildlife and it appears to represent Afghanistan’s most important snow leopard landscape. The Wildlife Conservation Society (WCS) has been working in Wakhan since 2006. Recent camera trap surveys have documented the presence of snow leopards at 16 different locations in the landscape. These are the first camera trap records of snow leopards in Afghanistan. Threats to snow leopards in the region include the fur trade, retaliatory killing by shepherds and the capture of live animals for pets. WCS is developing an integrated management approach for this species, involving local governance, protection by a cadre of rangers, education, construction of predator-proof livestock corrals, a livestock insurance program, tourism and research activities. This management approach is expected to contribute significantly to the conservation of snow leopards and other wildlife species in the Wakhan.

Abstract: The endangered snow leopard (Panthera uncia) is widely but sparsely distributed throughout the mountainous regions of central Asia. Detailed information on the status and abundance of the snow leopard is limited because of the logistical challenges faced when working in the rugged terrain it occupies, along with its secretive nature. Camera-trapping and noninvasive genetic techniques have been used successfully to survey this felid. We compared noninvasive genetic and camera-trapping snow leopard surveys in the Gobi Desert of Mongolia. We collected 180 putative snow leopard scats from 3 sites during an 8-day period along 37.74 km of transects. We then conducted a 65-day photographic survey at 1 of these sites, approximately 2 months after scat collection. In the site where both techniques were used noninvasive genetics detected 5 individuals in only 2 days of fieldwork compared to 7 individuals observed in the 65-day camera-trapping session. Estimates of population size from noninvasive genetics ranged between 16 and 19 snow leopards in the 314.3-km2 area surveyed, yielding densities of 4.9–5.9 individuals/100 km2. In comparison, the population estimate from the 65-day photographic survey was 4 individuals (adults only) within the 264-km2 area, for a density estimate of 1.5 snow leopards/100 km2. Higher density estimates from the noninvasive genetic survey were due partly to an inability to determine age and exclude subadults, reduced spatial distribution of sampling points as a consequence of collecting scats along linear transects, and deposition of scats by multiple snow leopards on common sites. Resulting differences could inflate abundance estimated from noninvasive genetic surveys and prevent direct comparison of densities derived from the 2 approaches unless appropriate adjustments are made to the study design.