Abstract: This study was aimed at assessing the status of Snow leopard, its major prey base, and the extent of human-Snow leopard conflict and major threats to the wildlife in north Chitral (Torkhow valley) Pakistan. Snow leopard occurrence was conformed through sign transect surveys i.e. SLIMS. Based on the data collected the number of Snow leopards in this survey block (1022 Kmý) is estimated to be 2-3 animals. Comparing this estimate with the available data from other parts of the district the population of snow leopard in Chitral district was count to be 36 animals. Livestock depredation reports collected from the area reflect the existence of human-snow leopard conflict and 138 cases were recorded affecting 102 families (in a period of eight years, 2001-2008). Ungulates (Himalayan Ibex) rut season surveys were conducted in coordination with NWFP Wildlife department. A total of 429 animals were counted using direct count (point method) surveys. Other snow leopard prey species recorded include marmot, hare, and game birds. Signs of other carnivores i.e. wolf, jackal, and fox were also noticed. Major threats to the survival of wildlife especially snow leopard reckoned include retaliatory killing (Shooting, Poisoning), poaching, loss of natural prey, habitat degradation (over grazing, fodder and fuel wood collection), lack of awareness, and over population. GIS map of the study area was developed highlighting the area searched for Snow leopard and its prey species. Capacity of the Wildlife Department staff was built in conducting SLIMS and ungulate surveys through class room and on field training. Awareness regarding the importance of wildlife conservation was highlighted to the students, teachers and general community through lectures and distribution of resource materials developed by WWF-Pakistan.

Abstract: The snow leopard is listed as endangered, although most of its high mountain habitat remains untouched. However the ability of humans to exploit wildlife has led to it being endangered. Serious attempts to keep snow leopards in captivity began in 1891, but it was not until the 1950s that cubs survived long enough to become breeders. The American Zoo and Aquarium Association (ASA) Snow Leopard Species Survival Plan (SSP) was set up in 1984, achieving success with breeding goals.

Abstract: 1. Camera trapping, paired with analytical methods for estimating occupancy, abundance and other ecological parameters, can yield information with direct consequences for wildlife management and conservation. Although ecological information is the primary target of most camera trap studies, detectability influences every aspect from design to interpretation.
2. Concepts and methods of time-toevent analysis are directly applicable to camera trapping, yet this statistical field has thus far been ignored as a way to analyze photographic capture data. to illustrate the use to time-to-event statistics and to better understand how photographic evidence accumulates, we explored patterns in tow related measure of detectability: Detection probability and time to detection. We analyzed camera trap data for three sympatric carnivores ( snow Leopard, red fox and stone marten) in the mountains of northern Pakistan and tested predictions about patterns in detectability across species, sites and time.
3. We found species-specific differences in the magnitude of detectability and the factors influencing it, reinforcing the need to consider determinants of detectability in study design and to account for them during analysis. Photographic detectability of snow leopard was noticeably lower than that of red fox, but comparable to detectability of stone marten. Site-specific attributes such as the presence of carnivore sign ( snow Leopard), terrain ( snow leopard and red fox) and application for lures ( red fox) influenced detectability. For the most part, detection probability was constant over time.
4. Species- specific differences in factors determining detectability make camera trap studies targeting multiple species particularly vulnerable to misinterpretation if the hierarchical origin of the data is ignored. Investigators should consider not only the magnitude of detectability, but also the shape of the curve describing the cumulative process of photographic detection, as this has consequences for both determining survey effort and the election of analytical models. Weighted time-to -event analysis can complement occupancy analysis and other hierarchal methods by providing additional tools for exploring camera trap data and testing hypotheses regarding the temporal aspect of photographic evidence accumulation.