Abstract: Asia’s rangelands and mountains are strongholds for several endemic ungulate species. Little is known about the ecology of these species because of the region’s remoteness and the lack of robust scientific studies. Hunting, habitat modification, increased livestock grazing, disease and development are the major threats to the species. There is an urgent need for better monitoring to identify the size, distribution and dynamics of the populations of these species, and the threats to them, for effective conservation. The feasibility of standard scientific monitoring is greatly influenced by the remoteness of the region, the pre-existing scientific ideology, lack of expertise in the latest monitoring
methods and awareness of biases and errors, and low capacity and logistical and financial constraints. We review the existing methods used for monitoring ungulates, identify the practical and institutional challenges to effective monitoring in Central Asia and categorize the methods based on various criteria so that researchers can plan better monitoring studies suited to particular species. We illustrate these issues using examples from several contrasting ungulate species. We recommend that scientific surveys should be complemented by increases in participatory monitoring, involving local people. The future of ungulate monitoring in Central Asia lies in a better recognition of the existing errors and biases in monitoring programmes and methods, allocation of more monitoring effort in terms of manpower, finances and logistics, understanding of robust scientific
methods and sampling theory and changing the scientific culture, as well as a commitment to ensuring that we monitor the things that matter.

Abstract: Disease cross-transmission between wild and domestic ungulates can negatively impact livelihoods and wildlife conservation. In Pin valley, migratory sheep and goats share pastures seasonally with the resident Asiatic ibex (Capra sibirica), leading to potential disease cross-transmission. Focussing on gastro-intestinal nematodes (GINs) as determinants of health in ungulates, we hypothesized that infection on pastures would increase over summer from contamination by migrating livestock. Consequently, interventions in livestock that are well-timed should reduce infection pressure for ibex. Using a parasite life-cycle model, that predicts infective larval availability, we investigated GIN transmission dynamics and evaluated potential interventions. Migratory livestock were predicted to contribute most infective larvae onto shared pastures due to higher density and parasite levels, driving infections in both livestock and ibex. The model predicted a c.30-day anti- parasitic intervention towards the end of the livestock’s time in Pin would be most effective at reducing GINs in both hosts. Albeit with the caveats of not being able to provide evidence of interspecific parasite trans- mission due to the inability to identify parasite species, this case demonstrates the usefulness of our predictive model for investigating parasite transmission in landscapes where domestic and wild ungulates share pastures. Additionally, it suggests management options for further investigation.

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: In the year 1970, the quantity of snow leopards in Kyrgyzstan was defined as 1,300 animals, while in the years to follow 1,600 animals were recorded. A snow leopard population has significantly decreased since recently because of intense extermination of snow leopard's prey ungulates, particularly ibex. In some areas of the Kyrgyz ridge livestock is growing in number thus affecting snow leopard population. It is extremely rare that snow leopard would attack livestock. Snow leopards can be caught under special license. Educational and awareness work among shepherds and hunters residing in the mountainous area of the country needs to be improved.

Abstract: Lean season foraging strategies are critical for the survival of species inhabiting highly seasonal environments
such as alpine regions. However, inferring foraging strategies is often difficult because of
challenges associated with empirically estimating energetic costs and gains of foraging in the field. We
generated qualitative predictions for the relationship between daily winter foraging time, body size and
forage availability for three contrasting foraging strategies including time minimization, energy intake
maximization and net energy maximization. Our model predicts that for animals employing a time
minimization strategy, daily winter foraging time should not change with body size and should increase
with a reduction in forage availability. For energy intake maximization, foraging time should not vary
with either body size or forage availability. In contrast, for a net energy maximization strategy, foraging
time should decrease with increase in body size and with a reduction in forage availability. We contrasted
proportion of daily time spent foraging by bharal, Pseudois nayaur, a dimorphic grazer, across
different body size classes in two high-altitude sites differing in forage availability. Our results indicate
that bharal behave as net energy maximizers during winter. As predicted by the net energy maximization
strategy, daily winter foraging time of bharal declined with increasing body size, and was lower in the
site with low forage availability. Furthermore, as predicted by our model, foraging time declined as the
winter season progressed. We did not find support for the time minimizing or energy intake maximizing
strategies. Our qualitative model uses relative rather than absolute costs and gains of foraging which are
often difficult to estimate in the field. It thus offers a simple way to make informed inferences regarding
animal foraging strategies by contrasting estimates of daily foraging time across gradients of body size
and forage availability.