Abstract: Background: Snow leopards, Panthera uncia, are a threatened apex predator, scattered across the mountains of Central and South Asia. Disease threats to wild snow leopards have not been investigated.
Methods and Results: Between 2008 and 2015, twenty snow leopards in the South Gobi desert of Mongolia were captured and immobilised for health screening and radio-collaring. Blood samples and external parasites were collected for pathogen analyses using enzyme- linked immunosorbent assay (ELISA), microscopic agglutination test (MAT), and next- generation sequencing (NGS) techniques. The animals showed no clinical signs of disease, however, serum antibodies to significant zoonotic pathogens were detected. These patho- gens included, Coxiella burnetii, (25% prevalence), Leptospira spp., (20%), and Toxoplasma gondii (20%). Ticks collected from snow leopards contained potentially zoonotic bacteria from the genera Bacillus, Bacteroides, Campylobacter, Coxiella, Rickettsia, Staphylococcus and Streptococcus.
Conclusions: The zoonotic pathogens identified in this study, in the short-term did not appear to cause illness in the snow leopards, but have caused illness in other wild felids. Therefore, surveillance for pathogens should be implemented to monitor for potential longer- term disease impacts on this snow leopard population.

Abstract: Being one of nine nature reserves in Uzbekistan, Chatkal was established in 1947. Its area changed its size and administrative jurisdiction. Foothills adjacent to the nature reserve were long ago inhabited and developed by people. In Middle Ages, the area of juniperous forest reduced considerably because of mining operations. There are rare mammal species in the nature reserve, such as snow leopard, bear, Menzbier's marmot, and six rare bird species

Abstract: Between May 1990 and January 1991, behavioral observations were made of two captive pumas (Felis concolor Linnaeus), and two captive snow leopards (Panthera uncia Schreber) in their outdoor exhibits at the Lincoln Park Zoological Gardens, Chicago, Illinois. Behaviors compared within and between species included: 1) time spend in the different habitat types; 2) time budgets for the different behaviors: laying, moving, sitting, standing, crouching, in the tree, drinking, urinating, defecating, within their inside dens, and “behavior not determined” when the identity or behavior of the individuals could not be determined; and 3) mobility of the animals within their exhibits. Also examined were: 4) preferences for different habitat types; 5) recommendations for future exhibit designs. Both species located themselves within their exhibits in a non-random manner. The majority of cats' time was spent in elevated locations (i.e., gunite ledges approximately 1-5.5 m above ground-level). Snow leopards exhibited this tendency to a greater extent than did the pumas. Both species also spent the majority of their time in the lying-down behavior; again snow leopards displayed this tendency significantly more than the pumas. Pumas were highly mobile and changed locations and behaviors in their exhibit significantly more than the snow leopards. No significant differences were noted between conspecifics in regard to habitat type preference, or mobility within the exhibit. Suggestions for future exhibit design include elevated locations for the cats to lay and look around within and outside their exhibits, caves for access to shade or relief from inclement weather, and ground surfaces to move about on. Features for exhibit design should take into consideration the natural habitat of the cat to occupy the exhibit.

Abstract: Blue sheep (Pseudois nayaur) are the main prey of the endangered snow leopard (Panthera uncia) as well as an important game species in Nepal. A knowledge of how blue sheep utilize their habitat is essential for the scientific management of the sheep and for the conservation of the snow leopard, but we only have a limited understanding of this aspect of blue sheep ecology. I studied the habitat use pattern of blue sheep by direct observation in the Anna-purna Conservation Area, Nepal where they occur sympatrically with the snow leopard. The sheep used grassland habitats more frequently during pre-parturition (spring) and post-parturition (autumn) than other habitat types, but scrub and grassland habitats were used equally frequently during the rut (winter). The sheep used smooth undulating slopes of medium steepness (<40 degrees) on southerly aspects within the elevation range of 4,200-4,600 m most frequently in all seasons, and there was no evidence of seasonal migration along the elevation gradient. When not in broken landforms (e.g., cliff, landslides), the sheep maintained proximity (less than or equal to 150 m) to such features suggesting their importance as escape cover (i.e., from predators). The use of habitat components by blue sheep appeared to be related to the distribution of foraging areas and escape cover.

Abstract: Bounded by two of the world's highest mountain ranges, the Great Himalaya and the Karakoram, Ladakh is a land of exhilarating mountain landscapes, rocky gorges and a unique cultural heritage. It is also home to distinctive wildlife such as the snow leopard, blue sheep and Tibetan wild ass, all living in a unique high altitude desert ecosystem. Not surprisingly, Ladakh is becoming a sought after tourist destination for international and domestic visitors alike. Over the past two decades tourism has grown substantially, although erratically, with both positive and less positive results for Ladakh's environment and people. People are recognizing that it is important to act now and engage in an informed dialogue in order to conserve the natural and cultural resources on which the future of tourism and related incomes depend. The Snow Leopard Conservancy (SLC) is working in collaboration with local communities and nongovernmental organizations to foster co-existence between people and predators like the endangered snow leopard by reducing livestock depredation losses and improving household incomes in environmentally friendly, socially responsible and economically viable ways. Well-balanced tourism is one income generating option.

Abstract: Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates.

Abstract: Caspian tiger, cheetah, moral have disappeared from the region's fauna. Species such as hyena, leopard, manul are endangered, honey badger and caracal available only on the south of Karakalpakstan, lynx, snow leopard and saiga are rare species. The implemented protection measures helped Iranian otter, Bukhara red deer, marchor, and Severtsev's sheep escape a total extermination. To preserve many valuable animals in Uzbekistan small investments in their habitats improvement are required. Nature reserves and preserves occupy a total area of more than 220,000 ha in the country. All rare species of Central Asia's fauna are under protection of the state.

Abstract: China may hold a greater proportion of the global snow leopard Panthera uncia population than any other country, with the area of good quality suitable habitat, estimated at nearly 300,000 km2, comprising .50% of that available across the species' entire range. We can now reconfirm the presence of snow leopard in the Taxkurgan area of Xinjiang Province in north-west China after a period of 20 years.

Abstract: Climate change is likely to affect the persistence of large, space-requiring species through habitat shifts,
loss, and fragmentation. Anthropogenic land and resource use changes related to climate change can also
impact the survival of wildlife. Thus, climate change has to be integrated into biodiversity conservation
plans. We developed a hybrid approach to climate-adaptive conservation landscape planning for snow
leopards in the Himalayan Mountains. We first mapped current snow leopard habitat using a mechanistic
approach that incorporated field-based data, and then combined it with a climate impact model using a
correlative approach. For the latter, we used statistical methods to test hypotheses about climatic drivers
of treeline in the Himalaya and its potential response to climate change under three IPCC greenhouse gas
emissions scenarios. We then assessed how change in treeline might affect the distribution of snow leopard
habitat. Results indicate that about 30% of snow leopard habitat in the Himalaya may be lost due to a
shifting treeline and consequent shrinking of the alpine zone, mostly along the southern edge of the range
and in river valleys. But, a considerable amount of snow leopard habitat and linkages are likely to remain
resilient to climate change, and these should be secured. This is because, as the area of snow leopard habitat
fragments and shrinks, threats such as livestock grazing, retaliatory killing, and medicinal plant collection
can intensify. We propose this approach for landscape conservation planning for other species
with extensive spatial requirements that can also be umbrella species for overall biodiversity.
 2012 Elsevier Ltd. All rights reserved

Abstract: Collected are additional data on encounters with six rare animal species that have been never seen before in the West Tien Shan. These are free-toiled bat, Etruscan shrew, snow leopard, little forktail, urban swallow, Central Asia tortoise, and Kyrgyz racerunner.

Abstract: Common features, origin, and landscape and zonal peculiarities of fauna in Kazakhstan and Central Asia are described. This region is part of the Mediterranean and Central Asia sub-zone of Golarctic, while north-eastern part of Kazakhstan is incorporated in the Round-boreal sub-zone. The main features of nature (sharply continental climate, vast valleys and well-marked zoning combined with a sophisticated system of vertical mountain zoning) stipulate the abundance and diversity of fauna. There are over 100 fish species, some 100 reptile and amphibian species, about 500 bird and 160 mammal species here. Snow leopard can be found in Kazakhstan's part of the Altai, in the Tien Shan and Pamir mountains.

Abstract: Consequences of predation may be particularly
heavy on small populations of herbivores, especially if they
are threatened with extinction. Over the 2006–2010 period, we
documented the effects of the spontaneous return of the endangered
snow leopard on the population of the vulnerable
Himalayan tahr. The study area was an area of central
Himalaya where this cat disappeared c. 40 years before, because
of persecution by man. Snow leopards occurred mainly
in areas close to the core area of tahr distribution. Tahr was the
staple (56.3 %) of snow leopards. After the arrival of this cat,
tahr decreased by more than 2/3 from 2003 to 2010 (mainly
through predation on kids). Subsequently, the density of snow
leopards decreased by 60%from2007 to 2010. The main prey
of snow leopards in Asia (bharal, marmots) were absent in our
study area, forcing snow leopards to specialize on tahr. The
restoration of a complete prey spectrum should be favoured
through reintroductions, to conserve large carnivores and to
reduce exploitation of small populations of herbivores, especially
if threatened.

Abstract: Conservation conflict over livestock depredation is one of the
key drivers of large mammalian carnivore declines worldwide. Mitigating
this conflict requires strategies informed by reliable knowledge of
factors influencing livestock depredation. Wild prey and livestock
abundance are critical factors influencing the extent of livestock
depredation. We compared whether the extent of livestock predation by
snow leopards Panthera uncia differed in relation to densities of wild
prey, livestock, and snow leopards at two sites in Shey Phoksundo
National Park, Nepal. We used camera trap-based spatially explicit
capture–recapture models to estimate snow leopard density;
double-observer surveys to estimate the density of their main prey
species, the blue sheep Pseudois nayaur; and interview-based household
surveys to estimate livestock population and number of livestock killed
by snow leopards. The proportion of livestock lost per household was
seven times higher in Upper Dolpa, the site which had higher snow
leopard density (2.51 snow leopards per 100 km2) and higher livestock
density (17.21 livestock per km2) compared to Lower Dolpa (1.21 snow
leopards per 100 km2; 4.5 livestock per km2). The wild prey density was
similar across the two sites (1.81 and 1.57 animals per km2 in Upper and
Lower Dolpa, respectively). Our results suggest that livestock
depredation level may largely be determined by the abundances of the
snow leopards and livestock and predation levels on livestock can vary
even at similar levels of wild prey density. In large parts of the snow
leopard range, livestock production is indispensable to local
livelihoods and livestock population is expected to increase to meet the
demand of cashmere. Hence, we recommend that any efforts to increase
livestock populations or conservation initiatives aimed at recovering or
increasing snow leopard population be accompanied by better herding
practices (e.g., predator-proof corrals) to protect livestock from snow
leopard.