Abstract: The monograph provides taxonomic description of sub-genus Panthera Oken, 1816, genus Uncia grey, 1854. Snow leopard inhabits the mountains of Tajikistan, the Pamirs, Tien Shan, Tarbagatai, the Altai, the Sayans; also the mountain of Mongolia, Tibet, the Himalayas, and Hindukush, where it keeps to alpine meadows and woodless rocks at up to 3,000 – 4,000 m above sea level in summer, and descends to a lower elevation in winter. It described from the Altai. They are of minor trade importance. This species is rare all over its habitat and included in the Red Data Book of the USSR.

Abstract: Over 100 snow leopard experts, enthusiasts, and government officials gathered in the outskirts of Beijing, China from March 7–11, 2008 for the firstever International Conference on Range-wide Conservation Planning for Snow Leopards. Conference organizers included Panthera, Wildlife Conservation Society (WCS), Snow Leopard Trust (SLT), Snow Leopard Network (SLN), and the Chinese Institute of Zoology.

Abstract: The globally endangered snow leopard Panthera uncia is sparsely distributed throughout the rugged mountains in Asia.
Its habit of preying on livestock poses a main challenge to management. In the remote Phu valley in northern Nepal, we
obtained reliable information on livestock losses and estimated predator abundance and diet composition from DNA
analysis and prey remains in scats. The annual diet consisted of 42%livestock. Among the wild prey, bharal (blue sheep/
naur) Pseudois nayaur was by far the most common species (92%). Two independent abundance estimates suggested that
there were six snow leopards in the valley during the course of our study. On average, each snow leopard killed about one
livestock individual and two bharal permonth. Predation loss of livestock estimated fromprey remains in scats was 3.9%,
which was in concordance with village records (4.0%). From a total count of bharal, the only large natural prey in the area
and occurring at a density of 8.4 animals/km2 or about half the density of livestock, snow leopards were estimated to
harvest 15.1% of the population annually. This predation rate approaches the natural, inherent recruitment rate of this
species; in Phu the proportion of kids was estimated at 18.4%. High livestock losses have created a hostile attitude against
the snow leopard and mitigation measures are needed. Among innovative management schemes now being implemented
throughout the species’ range, compensation and insurance programmes coupled with other incentive measures are
encouraged, rather than measures to reduce the snow leopard’s access to livestock. In areas like the Phu valley, where the
natural prey base consists mainly of one ungulate species that is already heavily preyed upon, the latter approach, if
implemented, will lead to increased predation on this prey, which over time may suppress numbers of both prey and
predator.

Abstract: Welcome to the first edition of The State of Wildlife Trade in China. This publication takes a broad look at wildlife trade over the past year, particularly concerning the impact of China's consumption on globally important biodiversity 'hotspots'. The focus of The State of Wildlife Trade in China is on emerging trends in China's wildlife trade and up-to-date reviews of work to stop illegal wildlife trade and support sustainable trade. The lead story in this issue is the illegal trade in Tigers and other Asian big cats. During 2006, surveys continued to document this illegal trade, as well as highlight opportunities for action. Other stories in this issue give updates on trade in reef fishes from Southeast Asia's 'Coral Triangle' and in timber from the forests of the Russian Far East, Borneo, and East Africa. China's wildlife trade presents both challenges and opportunities. This annual report aims to provide current information about wildlife trade in China and to provide avenues for involvement in China's conservation community. It is part of TRAFFIC's on-going commitment to turn information into action.

Abstract: Accurate assessments of the status of threatened species and their conservation
planning require reliable estimation of their global populations and robust monitoring
of local population trends. We assessed the adequacy and suitability of studies
in reliably estimating the global snow leopard (Panthera uncia) population. We
compiled a dataset of all the peer-reviewed published literature on snow leopard
population estimation. Metadata analysis showed estimates of snow leopard density
to be a negative exponential function of area, suggesting that study areas have generally
been too small for accurate density estimation, and sampling has often been
biased towards the best habitats. Published studies are restricted to six of the
12 range countries, covering only 0.3�0.9% of the presumed global range of the
species. Re-sampling of camera trap data from a relatively large study site
(c.1684 km2) showed that small-sized study areas together with a bias towards
good quality habitats in existing studies may have overestimated densities by up to
five times. We conclude that current information is biased and inadequate for generating
a reliable global population estimate of snow leopards. To develop a rigorous
and useful baseline and to avoid pitfalls, there is an urgent need for
(a) refinement of sampling and analytical protocols for population estimation of
snow leopards (b) agreement and coordinated use of standardized sampling protocols
amongst researchers and governments across the range, and (c) sampling
larger and under-represented areas of the snow leopard's global range.