Abstract: Livestock production is the major land-use in Ladakh region of the Indian Trans-Himalaya, and is a crucial sector that drives the region's economy (Anon, 2002). Animal products like meat and milk provide protein to the diet of people, while products like wool and pashmina (soft fibre of goats) find their way to the international market. Such high utility of livestock and the recent socio-economic changes in the region have caused an increase in livestock population (Rawat and Adhikari, 2002; Anon. 2002), which, if continue apace, may increase grazing pressure and deteriorate pasture conditions. Thus, there is an urgent need to assess the impact of such escalation in livestock population on the regions wildlife. Although, competitive interaction between wildlife and livestock has been studied elsewhere in the Trans-Himalaya (Bhatnagar et al., 2000; Mishra, 2001; Bagchi et al., 2002), knowledge on this aspect in the Ladakh region is very rudimentary. The rangelands of Ladakh are characterised by low primary productivity (Chundawat & Rawat, 1994), and the wild herbivores are likely to compete with the burgeoning livestock on these impoverished rangelands (Mishra et al., 2002). Thus, given that the area supports a diverse wild ungulate assemblage of eight species (Fox et al., 1991b), and an increasing livestock population (Rawat and Adhikari, 2002), the nature of interaction between wildlife and livestock needs to be assessed. During this project, we primarily evaluated the influence of domestic sheep and goat grazing on the habitat use of Tibetan argali Ovis ammon hodgsoni in a prospective wildlife reserve in Ladakh.

Abstract: This Newcastle University Expedition reviewed the conflict between man and snow leopard in the region east of Tekeli in the Dzhungarian Alatau range, Kazakhstan. After the soviet state breakup in 1991 snow leopards in Kazakhstan and in the other Asian republics were subjected to high levels of persecution. There are thought to be between 180-200 snow leopards in Kazakhstan, of which 37-40 individuals inhabit the Dzhungarian Mountains. No work has been done previously to review the present snow leopard-human conflicts in this region, and this project looked to update previous reports from Central Asia about predominant conflicts in these regions. The expedition team worked with the Institute of Zoology in Kazakhstan and two of the six person team were Kazakh students. Methods comparable to those used in previous studies were used to map and rank the threats in the western area of the range, over an eight week period. The expedition team lived in the mountains for periods of two-three weeks, carrying all their food and equipment and using local vehicles, horses and trekking to move from pasture to pasture. Semi-structured interviews, key informant interviews and prey counts were used to assess snow leopard-human conflicts including poaching of snow leopard, poaching of leopard wild prey, human disturbance and livestock overgrazing. The results from the report support much previous work from Kazakhstan and other areas in Central Asia, but serve as a useful update shedding light on an optimistic future for snow leopard conservation while highlighting what the expedition team perceives to be the major threats to snow leopards. The threats to snow leopards, in order of relevance from most to least, are loss of prey predominantly through hunting by local people (both legal and illegal), direct hunting of snowleopard for pelt/medicine, disturbance by herders on the pastures, snow leopard habitat fragmentation around the mountain bases, and least importantly overgrazing by domestic livestock. Retaliatory kills by herders are not a threat in the region and on livestock were killed by snow leopards. Levels of all hunting, legal and illegal, need to be reduced in the range until wildlife populations have recovered significantly from the mid-1990's over-hunting period. Levels of rural corruption among many stakeholders were high around the mountain region, and are thought to contribute negatively to wildlife conservation in the area. Ecotourism in the area, that incorporates local people around the mountain region, is proposed as a solution to offer local people's incentives to lower hunting levels. This report makes the following main recommendations:
ÿStrengthening law enforcement capacity
ÿIncreasing the number of ecological rangers
ÿIncreasing incentives of ecological rangers to prevent poaching
ÿEquipping the ecological rangers more sufficiently
ÿMore effective communication between ranger and National Park administrative regions
ÿThe involvement of all stakeholders in wildlife conservation including military officials and local herders
ÿWhistle blower policies to prevent illegal trade in all animals in the region
ÿMore geographic consistency between present and proposed protected areas in the region
 Accurate snow leopard monitoring to build on valuable information previously collected in Kazakhstan
 Provision of local incentives (ecotourism and community based hunting reserves) to reduce local hunting and local unemployment around the mountains
 Increased interest and technical assistance in Kazakhstan from conservation International Non-Governmental Organizations
 More government fund for the Institute of Zoology
 Stronger cross border (Kazakhstan-China) legislation implementation Further research could involve establishing an annual, standardized, snow leopard
survey in the range, or could compare these findings of threats to snow leopards to other regions in Kazakhstan (eg. The Altai) or Central Asia.
This report has been replicated for all the expedition sponsors, put on the internet, and
distributed among contacts in the snow leopard conservation community.
The expedition team also spent some time exploring and photographing some of the remoter valleys around the study pastures, and made a short video of the teams exploits. Links were made between KIMEP University in Almaty, and Newcastle University, registered a research centre with the Royal Geographical Society, and lectured about the Dzhungarian range and snow leopard conservation at; the Royal Geographical Society, Newcastle University, Royal Zoological Society for Scotland(Edinburgh Zoo), and Wilderness Lecturers (Bristol).

Abstract: Reference List of the Snow Leopard investigation included publications on the studying various questions of ecology and conservation of the Snow Leopard in Central Asia (355) for the period with 1851 for 2004. The most important work on this species in the region, as well as results of the analysis of timing of publications was described.

Abstract: Kyrgyzstan is a land of towering mountains, glaciers, rushing streams, wildflowercovered meadows, forests, snow leopards, soaring eagles, and yurt-dwelling nomads. The entire nation lies astride the Tian Shan1, Chinese for “Heavenly Mountains”, one of the world's highest mountain ranges, which is 7439 m (24,400 ft) in elevation at its highest point. The nation is the second smallest of the former Soviet Central Asian republics. In
spite of Kyrgyzstan's diverse wildlife and stunning natural beauty, the nation remains little known, and, as yet, still on the frontier of international conservation efforts. The following report is the product of 12 months of research into the state of conservation and land-use in Kyrgyzstan. This effort was funded by the Fulbright Commission of the U.S. State Department, and represents the most recent findings of the author's personal environmental journey through Inner Asia, which began in 1999. When I first started my preliminary research for this project, I was extremely surprised to learn that, even though the Tian Shan Range has tremendous ecological significance for conservation efforts in middle Asia, there wasn't a single major international conservation organization with an office in the former Soviet Central Asian republics. Even more surprising was how little awareness there is of conservation issues in the Tian Shan region amongst conservation workers in neighboring areas who are attempting to preserve similar species assemblages and ecosystems to those found in the Tian Shan. Given this lack of awareness, and the great potential for the international community to make a positive contribution towards improving the current state of biodiversity conservation in Kyrgyzstan and Central Asia, I have summarized my findings on protected areas and conservation in Kyrgyzstan and the Tian Shan of Kazakhstan, Uzbekistan, and Xinjiang in the chapters below. The report begins with some brief background information on geography and society in the Kyrgyz Republic, followed by an overview of biodiversity and the state of conservation in the nation, which at the present time closely parallels the state of conservation in the other former Soviet Central Asian republics. Part IV of the report provides a catalog of all major protected areas in Kyrgyzstan and the other Tian Shan nations, followed by a list of sites in Kyrgyzstan that are as yet unprotected but merit protection. In the appendices the reader will find fairly comprehensive species lists of flora and fauna found in the Kyrgyz Republic, including lists of mammals, birds, fish, reptiles, amphibians, trees and shrubs, wildflowers, and endemic plants. In addition, a
draft paper on the history and current practice of pastoral nomadism in Kyrgyzstan has been included in Appendix A. While the research emphasis for this study was on eastern Kyrgyzstan, over the course of the study the author did have the opportunity to make brief journeys to southern Kyrgyzstan, Uzbekistan, Kazakhstan, and Xinjiang. While falling short of being a definitive survey of protected areas of the Tian Shan, the informational review which
follows is the first attempt at bringing the details of conservation efforts throughout the entire Tian Shan Range together in one place. It is hoped that this summary of biodiversity and conservation in the Tian Shan will generate interest in the region amongst conservationists, and help increase efforts to protect this surprisingly unknown range that forms an island of meadows, rivers, lakes, and forests in the arid heart of Asia.

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: From March to May, 2006œªwe conducted extensive snow leopard surveys in the Burhanbuda Mountain Kunlun Mountains, Qinghai Province, China. 32 linear transect of 5~15 km each, which running through each vegetation type, were surveyed within the study area. A total of 72 traces of snow leopard were found along 4 transects (12.5% of total transects). The traces included pug marks or footprints, scrapes and urine marks. We estimated the average density of wild ungulates in the region was 2.88ñ0.35 individuals km-2(n=29). We emplaced 16 auto2 trigger cameras in different environments and eight photos of snow leopard were shot by four cameras and the capture rate of snow leopard was 71.4%. The minimum snow leopard population size in the Burhanbuda Mountain was two, because two snow leopards were phototrapped by different cameras at almost same time. Simultaneously, the cameras also shot 63 photos of other wild animals, including five photos are unidentified wild animals, and 20 photos of livestock. We evaluated the human attitudes towards snow leopard by interviewing with 27 Tibetan householders of 30 householders live in the study area. We propose to establish a nature reserve for protecting and managing snow leopards in the region. Snow leopard (Uncia uncia) is considered as a unique species because it lives above the snow line, it is endemic to alpines in Central Asia, inhabiting in 12 countries across Central Asia (Fox, 1992). Snow leopard ranges in alpine areas in Qinghai, Xinjiang, Inner Mongolia, Tibet, Gansu and Sichuan in western China (Liao, 1985, 1986; Zhou, 1987; Ma et al., 2002; Jiang & Xu, 2006). The total population and habitat of snow leopards in China are estimated to be 2,000~2,500 individuals and 1,824,316 km2, only 5% of which is under the protection of nature reserves. The cat's current range is fragmented (Zou & Zheng, 2003). Due to strong human persecutions, populations of snow leopards decreased significantly since the end of the 20th century. Thus, the
snow leopards are under the protection of international and domestic laws. From March to May, 2006, we conducted two field surveys in Zhiyu Village, Dulan County in Burhanbuda Mountain, Kunlun Mountains, China to determine the population, distribution and survival status of snow leopards in the area. The aim of the study was to provide ecologic data for snow leopard conservation.

Abstract: Four adult (2M:2F) snow leopards (Uncia uncia) were radio-monitored (VHF; one also via satellite) year-round during 1994-1997 in the Altai Mountains of southwestern Mongolia where prey densities (i.e., ibex, Capra siberica) were relatively low (0.9/km2). Marked animals were more active at night (51%) than during the day (35%). Within the study area, marked leopards showed strong a.nity for steep and rugged terrain, high use of areas rich in ungulate prey, and a.nity for habitat edges. The satellite-monitored leopard moved more than 12 km on 14% of consecutive days monitored. Home ranges determined by standard telemetry techniques overlapped substantially and were at least 13-141 km2in size. However, the satellite-monitored individual apparently ranged over an area of at least 1590 km2, and perhaps over as much as 4500 km2. Since telemetry attempts from the ground were
frequently unsuccessful dx¬ 72%_, we suspect all marked animals likely had large home ranges. Relatively low prey abundance in the area also suggested that home ranges of >500 km2were not unreasonable to expect, though these are >10-fold larger than measured in any other part of snow leopard range. Home ranges of snow leopards may be larger than we suspect in many areas, and thus estimation of snow leopard conservation status must rigorously consider logistical constraints inherent in telemetry studies, and the relative abundance of prey.

Abstract: This study was undertaken in the Phu valley of Manang district in the Annapurna Conservation Area, Nepal,
Spring, 2004 and 2005. I used the Snow Leopard Management Information System (“second order” survey technique), to determine
the relative abundance of snow leopards in delineated areas in Phu valley. Transects routes were plotted by
randomly selected feasible landforms such as along ridgelines, cliff bases and river bluffs where snow
leopards sign is likely to be found. Altogether, 16 transects (total length of 7.912 km) were laid down (mean
transect length=0.495 km). They revealed, 54 sign sites (both relic and non-relic) and altogether 88 signs (72
scrapes, 11 feces, 3 scent mark, 2 pugmarks and 1 hair) were recorded (6.8 site/km and 11.1 signs/km). There
were 61.1% non-relic and 38.9% relic sites. The density of snow leopards in Phu Valley may be 4-5 snow
leopards/100 kmý.It was found that the Ghyo block had the highest sign density (13.6 mean sign item/km)
and Phu block (9.8 mean sign item/km) and the lowest in Ngoru block (3.9 mean sign item/km.). For blue sheep, direct count method was applied from different appropriate vantage points (fixed-point
count). I counted total individuals in each herd and classified all individuals whenever possible, using 8 X24
binocular and 15-60x spotting scope. A total 37 blue sheep herds and 1209 individuals were observed in
192.25 kmý of the study area (blue sheep density, 6.3 kmý). Average herd size was 32.68. Herd size varied
from 1 to 103 animals (the largest so far recorded). The average sex ratio male to female for the entire survey
area was 0.67. Recruitment rate was 47.13. The ratio of yearlings to adult female was 0.45. In Ghyo block
had total 168 blue sheep (area, 44.08 km2 or 3.8/ km2 i.e. 137.2 kg/ kmý). Blue sheep density in Ngoru block
showed 4.7/km2 (area, 65.47 km2). Highest density of blue sheep among three blocks was recorded in Phu
block, 8.9/km2 (or 320 kg/km2) in its 82.70 km2 area. A standard questionnaire was designed, and interviews conducted for relevant information was collected on
livestock depredation patterns (total household survey). Out of 33 households surveyed, 30 reported that they
had livestock depredation by the snow leopard in 2004. Altogether 58 animals were reportedly lost to snow
leopards (3.1% of the total mortality). Out of the estimated standing available biomass (1, 83,483kg) in the
Phu valley at least 2220 kg or 1.3% of the total livestock biomass was consumed by snow leopards in the
year of our study (2004). It was estimated that in the Phu valley annually 1.8 animals were lost per household
to snow leopards. This means approx. Rs.413560 (US$ 5,908) is lost annually in the valley (US$
179/household/annum). Ghyo block, had the highest animals loss (53.4%), followed by Phu block (36.2%)
and Ngoru block (10.3%) to snow leopards. There is positive correlation among the densities of blue sheep, relative abundance of the snow leopard and
livestock depredation. Blue sheep is the main prey species of the snow leopard in Phu valley and its
conservation therefore matters to reduce livestock depredation. A general patterns appears here that shows
that blue sheep (prey) abundance determine snow leopard (predator) abundance and that livestock
depredation by snow leopards may be minimal where there is good population of blue sheep, and vice versa.

Abstract: Snow leopard survey was conducted in Oct-Nov 2004 at Tumor National Natural Reserve, Xinjiang, China. Because of its special living style, the snow leopard is difficult to observe by sight. Signs left by snow leopard become a good index to prove the existance of the big cat. There are mainly five kinds of signs, footprints, fectes, claw rakes and urine spray. From them we can know the distribution, probably population and habitat selection of snow leopard. This time in Tumor we investigated 5 difference places: Pochenzi in Mozat River area, Boxidun in Little Kuzbay River area, Yinyer in Tomur River area, Kurgan and Taglak in Quiong Tailan River area. 42 transects were run in this trip and a total of 57 signs found. Among them, footprints amounted to 71.9%, scrapes 21.1%, and feces 7.0%. The results showed that the big cat existed in Yinyer, Kurgan and Taglak areas and liked to select their habitat in the valley and didn't like to live in barren areas.

Abstract: Letter to Nature Editor, in response to: In their plea for bringing Pleistocene wildlife to the New World (“Re-wilding North America” Nature 436, 913–914; 2005), Josh Donlan and colleagues do not discuss successful efforts to ensure long-term survival of large carnivores in Africa and Asia. A few examples are given.

Abstract: This study was part of an expedition to the Altai mountains in the Kosh Agach region of the Altai Republic, run by Biosphere Expeditions from 6 July to 29 August 2003. The aim was to conduct the first survey of snow leopard (Uncia uncia) in this area, as well as surveying the snow leopard’s main prey species; in this case argali (Ovis amon) and Siberian ibex (Capra ibex sibirica) together with secondary prey species.
Using the Snow Leopard Information Management System (SLIMS) developed by the International Snow Leopard Trust (ISLT), presence/absence surveys (SLIMS form 1) of snow leopard and prey species were conducted throughout the study period across the entire survey area (approximately 200 sq km). Interviews with local, semi-nomadic herders also formed an important part of the research procedure. cat collected in the field was sent to Brunel University where it is awaiting DNA analysis. The expedition also collected data on local geology and generated mammal, bird and plant inventories.
Surveying a very large study area without snow cover made it difficult to find signs of snow leopard and primary prey species. Despite these constraints, snow leopard sign was found in each of the four two-week slots of the expedition. The field evidence indicated there was at least one resident adult. This, together with evidence from local people, confirmed the importance of the study area as a habitat for snow leopard and as a corridor for snow leopard dispersal. The survey area urgently needs protection but involving the local community is vital if conservation initiatives are to succeed.

Abstract: Meeting report for the Central Asia Snow Leopard Workshop, held in Bishkek in June 2006.

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.