Zhirnov L.V. (1975). Extinct mammals of the USSR fauna and their distribution over natural zones.
Abstract: 18 taxons of rare and endangered mammals of the USSR are distributed over natural zones such as deserts and semi-deserts including riverine forests and elevations; mountains and highlands; forests and forest-steppe; and offshore strips of closed seas. A majority of endangered species is associated with deserts and mountains of Central Asia and Kazakhstan.
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Calle, P. P., Colter, S. B., Taylor, R. A., & Wright, A. M. (1989). Extramedullary thoracolumbar fungal (scopulariopsis-brumptii) abscesses in 2 snow leopard (Panthera-uncia) littermates. Journal of Zoo and Wildlife Medicine, 20(3), 346–353.
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Solari, K. A., Morgan, S., Poyarkov, A. D., Weckworth, B., Samelius, G., Sharma, K., Ostrowski, S., Ramakrishnan, U., Kubanychbekov, Z., Kachel, S., Johansson, O., Lkhagvajav, P., Hemmingmoore, H., Alexandrov, D. Y., Bayaraa, M., Grachev, A., Korablev, M. P., Hernandez-Blanco, J. A., Munkhtsog, B., Rosenbaum, B., Rozhnov, V. V., Rajabi, A. M., Noori, H., Armstrong, E. E., Petrov, D. A. (2023). Extreme in Every Way: Exceedingly Low Genetic Diversity in Snow Leopards Due to Persistently Small Population Size. bioRxiv, , 1–24.
Abstract: Snow leopards (Panthera uncia) serve as an umbrella species whose conservation benefits their high-elevation Asian habitat. Their numbers are believed to be in decline due to numerous Anthropogenic threats; however, their conservation is hindered by numerous knowledge gaps. They are the least studied genetically of all big cat species and little is known about their historic population size and range, current population trends, or connectivity across their range. Here, we use whole genome sequencing data for 41 snow leopards (37 newly sequenced) to assess population connectivity, historic population size, and current levels of genetic diversity. Among our samples, we find evidence of a primary genetic divide between the northern and southern part of the range around the Dzungarian Basin and a secondary divide south of Kyrgyzstan around the Taklamakan Desert. However, we find evidence of gene flow, suggesting that barriers between these groups are permeable. Perhaps most noteworthy, we find that snow leopards have the lowest genetic diversity of any big cat species, likely due to a persistently small population size throughout their evolutionary history. Without a large population size or ample standing genetic variation to help buffer them from any forthcoming Anthropogenic challenges, snow leopard persistence may be more tenuous than currently appreciated.
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Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. (2015). Face Value: Towards Robust Estimates of Snow Leopard Densities. Plos One, .
Abstract: When densities of large carnivores fall below certain thresholds, dramatic ecological effects
can follow, leading to oversimplified ecosystems. Understanding the population status of
such species remains a major challenge as they occur in low densities and their ranges are
wide. This paper describes the use of non-invasive data collection techniques combined
with recent spatial capture-recapture methods to estimate the density of snow leopards
Panthera uncia. It also investigates the influence of environmental and human activity indicators
on their spatial distribution. A total of 60 camera traps were systematically set up during
a three-month period over a 480 km2 study area in Qilianshan National Nature Reserve,
Gansu Province, China. We recorded 76 separate snow leopard captures over 2,906 trapdays,
representing an average capture success of 2.62 captures/100 trap-days. We identified
a total number of 20 unique individuals from photographs and estimated snow leopard
density at 3.31 (SE = 1.01) individuals per 100 km2. Results of our simulation exercise indicate
that our estimates from the Spatial Capture Recapture models were not optimal to
respect to bias and precision (RMSEs for density parameters less or equal to 0.87). Our
results underline the critical challenge in achieving sufficient sample sizes of snow leopard
captures and recaptures. Possible performance improvements are discussed, principally by
optimising effective camera capture and photographic data quality.
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Karki, A., Panthi, S. (2021). Factors affecting livestock depredation by snow leopards (Panthera uncia) in the Himalayan region of Nepal. PeerJ, 9(e11575), 1–14.
Abstract: The snow leopard (Panthera uncia) found in central Asia is classified as vulnerable species by the International Union for Conservation of Nature (IUCN). Every year, large number of livestock are killed by snow leopards in Nepal, leading to economic loss to local communities and making human-snow leopard conflict a major threat to snow leopard conservation. We conducted formal and informal stakeholder’s interviews to gather information related to livestock depredation with the aim to map the attack sites by the snow leopard. These sites were further validated by district forest office staffs to assess sources of bias. Attack sites older than 3 years were removed from the survey. We found 109 attack sites and visited all the sites for geo location purpose (GPS points of all unique sites were taken). We maintained at least a 100 m distance between attack locations to ensure that each attack location was unique, which resulted in 86 unique locations. A total of 235 km2 was used to define livestock depredation risk zone during this study. Using Maximum Entropy (MaxEnt) modeling, we found that distance to livestock sheds, distance to paths, aspect, and distance to roads were major contributing factors to the snow leopard’s attacks. We identified 13.64 km2 as risk zone for livestock depredation from snow leopards in the study area. Furthermore, snow leopards preferred to attack livestock near livestock shelters, far from human paths and at moderate distance from motor roads. These identified attack zones should be managed both for snow leopard conservation and livestock protection in order to balance human livelihoods while protecting snow leopards and their habitats.
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Piaopiao, T., Suryawanshi, K. R., Lingyun, X., Mishra, C., Zhi, L., Alexander, J. S. (2022). Factors shaping the tolerance of local Tibetan herders toward snow leopards. Journal for Nature Conservation, 71 (2023)(126305), 1–8.
Abstract: Snow leopards (Panthera uncia) have long co-existed with livestock herding people across Asia’s high mountains. Multiple use landscapes however imply potential competition for shared resources, livestock predation, and the risk of retaliatory killing of predators. Community-based conservation is a central pillar for supporting people’s livelihoods and safeguarding predators and their habitat. Based on the theory of planned behavior, we examined the factors that shape herders’ tolerance of snow leopards. Our questionnaire-based study was conducted in the Sanjiangyuan Region, China, encompassing four communities with varying livelihoods, experiences with live- stock depredation and levels of exposure to community conservation interventions. Our results showed that respondents generally held positive views towards snow leopards, although women tended to have relatively more negative views towards snow leopards compared with men. Current household income was largely dependent on caterpillar fungus rather than livestock. Social norms around religion and the role of community leaders in our study area seemed to be the main determinants of the generally benign association of people with wildlife, overshadowing potential influences of community-based conservation interventions. Our work suggests that conservations programs will be aided through collaborations with communities and religious institutions, and that conservationists must proactively engage with women as significant actors in conservation.
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Theile, S. (2003). Fading Footprints: The Killing and Trade of Snow Leopards. Caimbridge, UK: Traffic International.
Abstract: Snow Leopards, in a genus of their own, are endangered big cats. They inhabit rugged,
mountainous terrain, in 12 range States – Afghanistan, Bhutan, China, India, Kazakhstan,
Kyrgyzstan, Mongolia, Nepal, Pakistan, the Russian Federation, Tajikistan and Uzbekistan.
There are regional differences in prey, but the cats' natural prey includes ungulates and rodents.
The global population of Snow Leopards is estimated to be between about 4000 and 7000, but
sharp declines in populations have been reported over the past decade from parts of the species's
range. High levels of hunting for the animals' skins and for live animals, for zoos, during the
last century contributed to the species's endangered status and, from the 1970s, legal measures
were taken for its protection. In 1975, the species was listed in Appendix I of CITES (the
Convention on International Trade in Endangered Species of Fauna and Flora) and in 1985 it
became an Appendix-I species of the Convention of Migratory Species. It has been accorded
nation-wide legal protection in almost every range State, in some cases since the 1970s. In spite
of such provision, Snow Leopards have been hunted during the 1990s in numbers as high as at
any time in the past and this killing continues in the present century. This report details the status of illegal poaching and trade in snow leopards in the late twentieth and early twenty-first centuries.
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Sokolov V.E. (1989). Family Felidae.
Abstract: It describes big representatives of family Felidae such as lion, tiger, leopard, jaguar, snow leopard, and cheetah. The habitat of snow leopard in USSR extends from the mountains of Central Asia and South Siberia to the Altai and Tuva. It is a non-numerous species all over its habitat. There are 100 300 snow leopards in Nepal, about 100 in Pakistan, and 500 1,000 in the USSR. The snow leopard is included in the Red Data Book of the USSR and Red List of IUCN.
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Han, X. M., D. G., Zhang, E., Jones, M., and Jin, T.. (2001). Far eastern leopard and Siberian tiger conservation measures. (pp. 102–103). Harbin: Widlife Conservation Society.
Abstract: Workshop to develop a recovery plan for the wild north China tiger population. October 20th to 23th, 2000, Harbin.
Like the Siberian Tiger, the Far Eastern Leopard is one of China's largest Felidae and lives mainly in the eastern mountains of Jilin Province. The number of leopards is very low and it is even more endangered than the tiger. There is a very close relationship between leopard and tiger conservation, especially in areas where overlap occurs. In these areas, special emphasis has to be placed on each of the species' specific conservation needs. There is urgent need to step up our efforts to study and monitor leopard populations and to develop a conservation strategy. This document contains information of the status and main threats of the Far Eastern leopard and makes recommendations on needed conservation measures.
Keywords: CCT, conservation, conservation needs, conservation strategy, distribution, Jilin Province, leopard, monitoring, Panthera pardus, Panthera tigris, poaching, recovery, Recovery plan, snow
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Durbach, I., Borchers, D., Sutherland, C., Sharma, K. (2020). Fast, flexible alternatives to regular grid designs for spatial
capture–recapture..
Abstract: Spatial capture–recapture (SCR) methods use the location of
detectors (camera traps, hair snares and live-capture traps) and the
locations at which animals were detected (their spatial capture
histories) to estimate animal density. Despite the often large expense
and effort involved in placing detectors in a landscape, there has been
relatively little work on how detectors should be located. A natural
criterion is to place traps so as to maximize the precision of density
estimators, but the lack of a closed-form expression for precision has
made optimizing this criterion computationally demanding. 2. Recent
results by Efford and Boulanger (2019) show that precision can be well
approximated by a function of the expected number of detected
individuals and expected number of recapture events, both of which can
be evaluated at low computational cost. We use these results to develop
a method for obtaining survey designs that optimize this approximate
precision for SCR studies using count or binary proximity detectors, or
multi-catch traps. 3. We show how the basic design protocol can be
extended to incorporate spatially varying distributions of activity
centres and animal detectability. We illustrate our approach by
simulating from a camera trap study of snow leopards in Mongolia and
comparing estimates from our designs to those generated by regular or
optimized grid designs. Optimizing detector placement increased the
number of detected individuals and recaptures, but this did not always
lead to more precise density estimators due to less precise estimation
of the effective sampling area. In most cases, the precision of density
estimators was comparable to that obtained with grid designs, with
improvement in some scenarios where approximate CV(¬D) < 20% and density
varied spatially. 4. Designs generated using our approach are
transparent and statistically grounded. They can be produced for survey
regions of any shape, adapt to known information about animal density
and detectability, and are potentially easier and less costly to
implement. We recommend their use as good, flexible candidate designs
for SCR surveys when reasonable knowledge of model parameters exists. We
provide software for researchers to construct their own designs, in the
form of updates to design functions in the r package oSCR.
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