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: This study conducted in the high altitude rangelands of Indian Transhimalaya, deals with basic questions regarding the ecology of an endangered species, the wildsheep Tibetan argali (Ovis ammon hodgsoni) and applied issues related to its conservation and potential conflict with the local nomadic pastoralists. The basic questions on ecology are aimed at delineating the habitat and resource selection processes, identifying factors causing sexual segregation and efficient surveying and sampling. The applied aspect focuses on the changing face of pastoralism and the potential impacts of modernising livestock husbandry on argali.
Overall, the study provides a general framework towards the understanding of argali-habitat relationships at different spatio-temporal scales. The spatial determinant associated with altitude in the area, predicts argali habitat and resource selection in this relatively homogenous landscape. These determine the range of other topographic variables and forage characteristics selected by argali. The selection of feeding patches in the selected range of altitude and topography is mainly characterised by their greenness and the quality of plant groups. Adjusting to changing forage quality, argali display an opportunistic feeding strategy, selecting grasses in early spring and switching to forbs later in summer. Nevertheless, the habitat selection process did not appear to differ among the sexes to drive sexual segregation. There was, however, strong segregation among the sexes as well as between lactating and non lactating females. The reasons for segregation appeared to be predominantly social, but driven ultimately by predation and concomitantly by resources. The habitat selection information was used to design a stratified random sampling strategy that led to i) a significant reduction in survey effort in sampling these sparsely distributed species and ii) reduction in sampling bias.
The applied aspect of the study outlines and evaluates the dramatic changes in the nomadic pastoralism that have occurred in the past five decades in the study area. These have led to a loss of pastures (-25 to -33%) of the nomads, consequent readjustment in traditional patterns of pasture use, intensified grazing pressures (25 to 70%) and rangeland degradation in the area. Such changes may have serious consequences on the survival of local wildlife, as tested with a study of the effects on argali of livestock presence and resource exploitation. Hence, a successful conservation and recovery strategy should focus on: minimising the impacts of livestock on argali, identifying the factors affecting the persistence of the current populations, increasing local sub populations of this species to prevent extinction due to stochastic events, prevent loss of genetic diversity and excessive fragmentation and thus ensuring gene flow.
Ecological Niche Factor Analyses (ENFA), bias-reduced logistic regression and Fuzzy correspondence analyses (FCA) were used to answer habitat and resource selection questions. A sexual segregation and aggregation statistic (SSAS) was used to estimate the components of sexual segregation and test segregation. SSAS combined with canonical correspondence analyses (CCA) allowed the estimation of segregation based on habitat variables. Logistic regression models were formulated to estimate models on which the stratified random sampling strategy was based. The 9 Animal – Habitat relationships in high altitude rangelands overall study also included surveys, interviews and literature reviews to understand the nomads’ movement and pasture use patterns of their livestock. Kernel density estimations (KDE) were used to estimate extent of range overlaps between livestock and argali.

Abstract: This report analyses some methodological aspects of snow leopard studies, primarily, on the basis of Russian scientific sources.

Abstract: This publication reviews potential actions for the long-term conservation of
snow leopards and their habitat in Russia in conditions of anthropogenic influence
and climate change in high elevation ecosystems. This edition is the result
of many years of research conducted in the framework of WWF’s “Ensuring the
long term protection of biodiversity in the Altai-Sayan Ecoregion” (1998-2011)
and the United Nations Development Program (UNDP) financed by the Global
Environment Facility “Conservation of Biodiversity in the Russian portion Altai-
Sayan Ecoregion” (2005-2010).
The publication contains materials needed to prepare a Russian Snow Leopard
Conservation Strategy and was prepared for use by the Russian Ministry
of Natural Resources to develop comprehensive priority conservation measures
to protect this species. In addition, this publication is intended for protected
area specialists and staff at federal and regional government agencies
responsible for the conservation and monitoring of species listed in the
Russian Federation Red Book.
Reviewer: B. Munkhtsog, Candidate in Biological Sciences, staff scientist at
the Institute for Biology, Mongolian Academy of Sciences, and president of the
Mongolian Snow Leopard Center.
Translation to English: J. Castner.

Abstract: This program was drawn up at the invitation of the Chief Wildlife Warden of the State of Jammu and Kashmir, Mir Inayat Ullah, following joint survey work and discussions held over the period 1980-86. The recomendations have been accepted and will be incorporated into Department of Wildlife Protection policy. The aim of the program is the long term conservation of the snow leopard on a self sustaining basis throughout the state. Two basic assumptions underlie the program: (1) The snow leopard cannot be protected in isolation, but only in the context of conservation of the environment as a whole, and (2) To be most effective, any long term plan needs the cooperation of local people and must take into account their needs and traditional rights.