Abstract: Livestock depredation by the endangered snow leopard (Panthera uncia) _is an increasingly contentious issue in Himalayan villages, especially in or near protected areas. Mass attacks in which as many as 100 sheep and goats are killed in a single incident inevitably result in retaliation by local villagers. This article describes a community-based conservation initiative to address this problem in Hemis National Park, India. Human-wildlife conflict is alleviated by predator-proofing villagers' nighttime livestock pens and by enhancing household incomes in environmentally sensitive and culturally compatible ways. The authors have found that the highly participatory strategy described here (Appreciative Participatory Planning and Action-APPA) leads to a sense of project ownership by local stakeholders, communal empowerment, self-reliance, and willingness to co-exist with
snow leopards. The most significant conservation outcome of this process is the protection from retaliatory poaching of up to five snow leopards for every village's livestock pens that are made predator-proof._

Abstract: The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used
counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates
(photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation.

Abstract: During 1984-1987, 1992-1995, and 1998-2001, the author researched snow leopard, white lipped deer, kiang, and argali in Qinghai, Gansu, Xingiang, and Sichuan. He collected 644 snow leopard droppings, and analyzed kinds of foods and sources from perch. Snow leopard's foods include most main foods, main foods, comparative foods and lesser foods. Studied one another
index of faunistic congruence of foods species that from various distribution and variation both perch vertical variety and foods of snow leopard.

Abstract: Snow leopard survey was conducted in Oct-Nov 2004 at Tumor National Natural Reserve, Xinjiang, China. Because of its special living style, the snow leopard is difficult to observe by sight. Signs left by snow leopard become a good index to prove the existance of the big cat. There are mainly five kinds of signs, footprints, fectes, claw rakes and urine spray. From them we can know the distribution, probably population and habitat selection of snow leopard. This time in Tumor we investigated 5 difference places: Pochenzi in Mozat River area, Boxidun in Little Kuzbay River area, Yinyer in Tomur River area, Kurgan and Taglak in Quiong Tailan River area. 42 transects were run in this trip and a total of 57 signs found. Among them, footprints amounted to 71.9%, scrapes 21.1%, and feces 7.0%. The results showed that the big cat existed in Yinyer, Kurgan and Taglak areas and liked to select their habitat in the valley and didn't like to live in barren areas.

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.