Abstract: Over the last decades tiger, leopard and snow leopard were fully exterminated in many areas, where they formerly were common species and now became very rare ones. Few leopards can still be found in Caucasus, Copet-Dag (Turkmenistan) and south of Primorskiy krai. Irbis is remaining a common species only in the difficult-of-access highland areas of Tien Shan and very rare in the Altai. Tiger traces are sometimes found in the Amudarya river valley and in the taiga Sihote-Alinya in the Far East.

Abstract: The author describes the lot of extinct and endangered mammal species inhabitants of various continents. Over the last 2,000 years, on the territory now occupied by the USSR, 11 species and sub-species of mammals died away and several dozens of species and sub-species are now endangered or rare and require special conservation measures. Big Felidae species include tiger (150 170 animals), leopard (38-48 animals, of which 20-25 permanently live in the Far East, the rest migrating), snow leopard, whose population reduced drastically (about 1,000 animals), caracal, Central Asia lynx, and manul.

Abstract: The number of large cats is reducing. These animals are hold out in the most difficult of access places. During long time snow leopard was a poorly known animal. The situation was changed with developing of mountain tourism and mountaineering. It's necessary to reduce the capturing snow leopards for zoological gardens.

Abstract: This study presents the testing of two unsupervised classification methods for their ability to accurately identify unknown individual tigers, Panthera tigris, and snow leopards, Panthera uncia, from their footprints. A neural-network based method, the Kohonen self-organizing map (SOM), and a Bayesian method, AutoClass, were assessed using hind footprints taken from captive animals under standardized conditions. AutoClass successfully discriminated individuals of both species from their footprints. Classification accuracy was greatest for tigers, with more misclassification of individuals occurring for snow leopards. Examination of variable influence on class formations failed to identify consistently influential measurements for either species. The self-organizing map did not provide accurate classification of individuals for either species. Results were not substantially improved by altering map dimensions nor by using principal components derived from the original data. The interpretation of resulting classifications and the importance of using such techniques in the study of wild animal populations are discussed. The need for further testing in the field is highlighted.

Abstract: Conservation practices are supposed to get refined by advancing scientific knowledge. We study this phenomenon in the context of monitoring tiger populations in India, by evaluating the ‘pugmark census method’ employed by wildlife managers for three decades. We use an analytical framework of modern animal population sampling to test the efficacy of the pugmark censuses using scientific data on tigers and our field observations. We identify three critical goals for monitoring tiger populations, in order of increasing sophistication: (1) distribution mapping, (2) tracking relative abundance, (3) estimation of absolute abundance. We demonstrate that the present census-based paradigm does not work because it ignores the first two simpler goals, and targets, but fails to achieve, the most difficult third goal. We point out the utility and ready availability of alternative monitoring paradigms that deal with the central problems of spatial sampling and observability. We propose an alternative sampling-based approach that can be tailored to meet practical needs of tiger monitoring at different levels of refinement.