Abstract: It provides information about the cat family species in Uzbekistan (steppe cat Felis libyca, reed cat Felis chaus, Turkistan lynx Felis lynx isabellina, manul Felis manul, sand cat Felis margarita, Turan tiger Felis tigris virgata, Middle Asia leopard Felis pardus tullianus, and snow leopard Felis uncia. Snow leopard is distributed over the Hissar ridge, and the mountains of Kuydytavak, Khoddjachilimakhram, Zardalyupaz, Khodjapiriyah and Belata. Trade significance of snow leopard is negligent. In the Sary-Asia district one skin was traded in 1934 and 1935, three in 1936, four in 1937, one in 1946, and two in 1947.

Abstract: There are 27 mammal species in the mountains of Turkestan ridge, 17 of which are good for trade or sport hunting. However, many of them have become non-numerous because of overhunting or destruction of their natural complexes (forest cutting, erosion, etc.). In Turkestan ridge of Uzbekistan, snow leopard is protected only in the Zaamin nature reserve.

Abstract: The following rare mammals can be found in nature reserves of Kazakhstan: argali, goitered gazelle, kulan, snow leopard, stone marten, Tien Shan brown bear, manul, Turkistan lynx, Menzbier's marmot, and porcupine. The rest of rare mammal species (three insectivorous species, seven rodent, eight predator, and two ungulate species) are outside of protected areas and require special protection measures.

Abstract: The protection of Snow Leopards in the remote and economically disadvantaged Northern Areas of Pakistan needs local people equipped with the skills to gather and present information on the number and range of individual animals in their area. It is important for the success of a conservation campaign that the people living in the area are engaged in the conservation process. Snow Leopards are elusive and range through inhospitable terrain so direct study is difficult. Consequently the major goals for this project were twofold, to gather information on snow leopard distribution in this area and to train local university students and conservation management professionals in the techniques used for locating snow leopards without the need to capture or even see the animals. This project pioneered the use of DNA testing of field samples collected in Pakistan to determine the distribution of snow leopards and to attempt to identify individuals. These were collected in and around that country's most northerly national park, the Kunjurab National Park, which sits on the Pakistan China border. Though the Northern Areas is not a well developed part of Pakistan, it does possess a number of institutions that can work together to strengthen snow leopard conservation. The first of these is a newly established University with students ready to be trained in the skills needed. Secondly WWF-Pakistan has an office in the main town and a state of the art GIS laboratory in Lahore and already works closely with the Forest Department who manage the national park. All three institutions worked together in this project with WWF providing GIS expertise, the FD rangers, and the university students carrying out the laboratory work. In addition in the course of the project the University of the Punjab in Lahore also joined the effort, providing laboratory facilities for the students. As a result of this project maps have been produced showing the location of snow leopards in
two areas. Preliminary DNA evidence indicates that there is more than one animal in this
relatively small area, but the greatest achievement of this project is the training and
experience gained by the local students. For one student this has been life changing. Due to
the opportunities provided by this study the student, Nelofar gained significant scientific
training and as a consequence she is now working as a lecturer and research officer for the
Center for Integrated Mountain Research, New Campus University of the Punjab, Lahore
Pakistan

Abstract: In response to dwindling wildlife populations and habitat, governments established national parks and protected areas, often with little input from people living in the immediate area. In some cases communities were relocated, but in most they are left to pursue traditional agricultural and pastoral livelihoods under a new set of rules. Important questions of land tenure remained unresolved, with a “fences and fines” approach to protected area management (Stolton and Dudley 1999).

Abstract: In June-July 2004, the Snow Leopard Conservancy (SLC) recently conducted field visits to three important snow leopard sites in Pakistan's Northern Areas: Hushey and Skoyo villages in Baltistan and the Khunjerab Village Organization (KVO) in Gojal. The purpose was to launch environmentally appropriate small-scale, village-based conservation and depredation alleviation initiatives aimed at protecting snow leopards, prey species, their habitats and associated mountain biodiversity, while benefiting humans at the same time.

Abstract: This handbook provides an introduction to snow leopard population survey techniques, followed by a detailed account of camera trapping methods.During the 2002 through 2004 winter field seasons, the Snow Leopard Conservancy experimented with infrared camera trapping techniques to define a methodology suitable for the high altitude environment.
In 2001 and 2002, much of our time was spent familiarizing ourselves with various infrared camera traps, their operation and setup, and comparing the effectiveness of different models and sensor types. We placed infrared camera traps along frequently used travel corridors at or near scent-sprayed rocks (rock scents) and scrape sites within 16 km2 sampling cells between January and March in 2003 and 2004. A total of 66 and 49 captures of snow leopards were tallied during 2003 and 2004, resulting in an overall capture success of 8.91 and 5.63 individuals per 100 trap-nights, respectively. Capture probabilities ranged from 0.33 to 0.46. Density estimates ranged from 8.49 ± 0.22 individuals per 100 km2 in 2003 to 4.45 ± 0.16 in 2004, with the disparity between years largely attributed to different trapping densities. Snow leopard abundance estimates were calculated using the computer program CAPTURE.

Abstract: Conservation and management of snow leopards (Uncia uncial) has largely relied on anecdotal evidence and presence-absence data due to their cryptic nature and the difficult terrain they inhabit. These methods generally lack the scientific rigor necessary to accurately estimate population size and monitor trends. We evaluated the use of photography in capture-mark-recapture (CMR) techniques for estimating snow leopard population abundance and density within Hemis National Park, Ladakh, India. We placed infrared camera traps along actively used travel paths, scent-sprayed rocks, and scrape sites within 16-30 kmý sampling grids in successive winters during January and March 2003-2004. We used head-on, oblique, and side-view camera configurations to obtain snow leopard photographs at varying body orientations. We calculated snow leopard abundance estimates using the program CAPTURE. We obtained a total of 66 and 49 snow leopard captures resulting in 8.91 and 5.63 individuals per 100 trap nights during 2003 and 2004, respectively. We identified snow leopards based on the distinct pelage patters located primarily on the forelimbs, flanks, and dorsal surface of the tail. Capture probabilities ranged from 0.33 to 0.67. Density estimates ranged from 8.49 (SE+0.22) individuals per 100 kmý in 2003 to 4.45 (SE+0.16) in 2004. We believe the density disparity between years is attributable to different trap density and placement rather than to an actual decline in population size. Our results suggest that photographic capture-mark-recapture sampling may be a useful tool for monitoring demographic patterns. However, we believe a larger sample size would be necessary for generating a statistically robust estimate of population density and abundance based on CMR models.

Abstract: The endangered snow leopard Panthera uncia occurs in rugged, high-altitude regions of Central Asia. However, information on the status of this felid is limited in many areas. We conducted a pilot study to optimize molecular markers for the analysis of snow leopard scat samples and to examine the feasibility of using noninvasive genetic methods for monitoring this felid. We designed snow leopard-specific primers for seven microsatellite loci that amplified shorter segments and avoided flanking sequences shared with repetitive elements. By redesigning primers we maximized genotyping success and minimized genotyping errors. In addition, we tested a Y chromosome-marker for sex identification and designed a panel of mitochondrial DNA primers for examining genetic diversity of snow leopards using scat samples. We collected scats believed to be from snow leopards in three separate geographic regions including north-western India, central China and southern Mongolia. We observed snow leopard scats in all three sites despite only brief 2-day surveys in each area. There was a high rate of species misidentification in the field with up to 54% of snow leopard scats misidentified as red fox. The high rate of field misidentification suggests sign surveys incorporating scat likely overestimate snow leopard abundance. The highest ratio of snow leopard scats was observed in Ladakh (India) and South Gobi (Mongolia), where four and five snow leopards were detected, respectively. Our findings describe a species-specific molecular panel for analysis of snow leopard scats, and highlight the efficacy of noninvasive genetic surveys for monitoring snow leopards. These methods enable large-scale noninvasive studies that will provide information critical for conservation of snow leopards.