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: Materials on numbers and densities of 8 ungulates (Sus scrofa nigripes, Capreolus pygargus tianschanicus, Cervus elaphus, Cervus nippon, Cervus dama, Capra sibirica formosovi, Ovis ammon karelini, Bison bonasus) within the Chatkal …nd Talas Ranges are given. A critical analysis is also presented on prospects for development of the commercial hunting tourism as opportunities for additional assignments in measures on conservation of the Western Tien Shan biodiversity

Abstract: Three key areas of the snow leopard habitat in the USSR are geographically segregated: Central Asia (Pamir, Tien Shan, Pamiro-Alai), East Kazakhstan (Jungar Alatau, Tarbagatai, Saur), and South Siberia (Altai, the Sayans), which are separated from one another. The fate of snow leopard in East Kazakhstan and South Siberia causes the most anxiety.

Abstract: Zoolites of the Felidae family are known from the Upper Eocene Lower Pliocene in Eurasia, Africa, and North America. Two sub-families are know to inhabit the territory of the USSR and adjacent territories: the extinct sabre-toothed Felidae species Machairodontia and now existing Felidae species. In the USSR the extinct Felidae species were found to exist in Upper Miocene, Upper and Middle Pliocene, and Pleistocene. In Eurasia panthers has been know since early Pliocene. Three species were found in Uzbekistan – the extinct cave lion Felidae sd†l…†… (Goldfuss, 1810), and now existing P…nth†a… tigris, P…nth†a… pardus. The ancient finds and modern habitats are briefly described. Genus Uncia is represented by one species snow leopard or irbis. Probably it appeared in later Pliocene or Pleistocene in the mountain of Central Asia. In Uzbekistan, remains of snow leopard were found in the Samarqand region in the layer of Upper Pleistocene or Holocene. Probably it moved into the area in Pleistocene or the period of glacier removal in the Western Tien Shan mountains, Turkestan, Zeravshan, and Hissar ridges.