Abstract: In Russia, traditions of track observations and the use of tracking techniques in studying the ecology and behavior of mammals were founded by A.N. Formozov. An analytic review of his data on large carnivorous mammals (tiger, snow leopard, wolf, brown bear, wolverine, and others) is given. A special detailed observation of animals' tracks as a source of information on their life is shown only to start. The efficiency of track observations in various fields of studies, including counting animals, is estimated. The values of day and night distances for various animal species, given in literature, have never been properly substantiated methodically. The tracking method is the most effective in studying the use of the home range by animals, drawing the network of their movements and scent-marking behavior. The hunting behavior of large predators in dense forests is can only be deduced by observing their tracks. In some cases, the use of tracking has a distinct advantage over radio tracking. The main propositions are illustrated by the materials of the author obtained in various Russian regions (in forests of the northern Russian Plain and southern Far east) for 1958-1998.

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.