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: Many studies have demonstrated that ibex (Capra sibirica) are the most frequently eaten prey of snow
leopards (Panthera uncia) in Xinjiang, the west of China. Thus, an understanding of interactions between these species may have significant management and conservation of implications for both. In this study, we provide information on ibex grouping and density over a 24 month period in the Tian Shan of Xinjiang, China. We then use ibex density to estimate the density of snow leopards. We observed ibex primarily in ewe-lamb groups (N=880), but ibex sexual segregation and grouping changed seasonally with more mixed-sex groups during the winter rut. We observed the most ibex in April 2014 and 2015 with an average of (2422 ± 119 ibex). Over the 1643 km2 study area we then estimated an ibex density of 154 ± 23 ibex /100 km2 from which we estimated a density of 1.31~2.58 snow leopards/100 km2.