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Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. (2021). Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. Conservation Genetics, .
Abstract: The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed.
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Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal,
R. S., Sharma, S., Shekhar, S. (2020). Predicting Habitat Suitability of Snow Leopards in the Western
Himalayan Mountains, India. Biology bulletin, 47(6), 655–664.
Abstract: The population of snow leopard (Panthera uncia) is declining
across their range, due to poaching, habitat fragmentation, retaliatory
killing, and a decrease of wild prey species. Obtaining information on
rare and cryptic predators living in remote and rugged terrain is
important for making conservation and management strategies. We used the
Maximum Entropy (MaxEnt) ecological niche modeling framework to predict
the potential habitat of snow leopards across the western Himalayan
region, India. The model was developed using 34 spatial species
occurrence points in the western Himalaya, and 26 parameters including,
prey species distribution, temperature, precipitation, land use and land
cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen
variables contributed 98.6% towards predicting the distribution of snow
leopards. The area under the curve (AUC) score was high (0.994) for the
training data from our model, which indicates pre- dictive ability of
the model. The model predicted that there was 42432 km2 of potential
habitat for snow leop- ards in the western Himalaya region. Protected
status was available for 11247 km2 (26.5%), but the other 31185 km2
(73.5%) of potential habitat did not have any protected status. Thus,
our approach is useful for predicting the distribution and suitable
habitats and can focus field surveys in selected areas to save
resources, increase survey success, and improve conservation efforts for
snow leopards.
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Augugliaro, C., Christe, P., Janchivlamdan, C., Baymanday, H.,
Zimmermann, F. (2020). Patterns of human interaction with snow leopard and co-predators
in the Mongolian western Altai: Current issues and perspectives. Global Ecology and Conservation, 24, 1–21.
Abstract: Large carnivores can cause considerable economic damage,
mainly due to livestock depredation. These conficts instigate negative
attitude towards their conservation, which could in the extreme case
lead to retaliatory killing. Here we focus on the snow leopard (Panthera
uncia), a species of conservation concern with particularly large
spatial requirements. We conducted the study in the Bayan Olgii
province, one of the poorest provinces of Mongolia, where the majority
of the human population are traditional herders. We conducted a survey
among herders (N 261) through a semi-structured questionnaire with the
aim to assess: the current and future herding practices and prevention
measures, herders’ perceptions and knowledge of the environmental
protection and hunting laws; the perceived livestock losses to snow
leopard, wolf (Canis lupus), and wolverine (Gulo gulo), as well as to
non-predatory factors; the key factors affecting livestock losses to
these three large carnivores; and, finally, the attitudes towards these
three large carnivores. Non-predatory causes of mortality were slightly
higher than depredation cases, representing 4.5% and 4.3% of livestock
holdings respectively. While no depredation of livestock was reported
from wolverines, snow leopard and wolf depredation made up 0.2% and 4.1%
of total livestock holdings, respectively. Herders’ attitudes towards
the three large carnivores were negatively affected by the magnitude of
the damages since they had a positive overall attitude towards both snow
leopard and wolverine, whereas the attitude towards wolf was negative.
We discuss conservation and management options to mitigate herder-snow
leopard impacts. To palliate the negative consequences of the increasing
trend in livestock numbers, herd size reduction should be encouraged by
adding economic value to the individual livestock and/or by promoting
alternative income and/or ecotourism. Furthermore, co-management between
government and stakeholders would help tackle this complex problem, with
herders playing a major role in the development of livestock management
strategies. Traditional practices, such as regularly shifting campsites
and using dogs and corrals at night, could reduce livestock losses
caused by snow leopards.
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Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J.
S., Bijoor, Suryawanshi, K., Mishra, C. (2020). Conservation and people: Towards an ethical code of conduct for
the use of camera traps in wildlife research. Ecological Solutions and Evidence, , 1–6.
Abstract: 1. Camera trapping is a widely employed tool in wildlife
research, used to estimate animal abundances, understand animal
movement, assess species richness and under- stand animal behaviour. In
addition to images of wild animals, research cameras often record human
images, inadvertently capturing behaviours ranging from innocuous
actions to potentially serious crimes.
2. With the increasing use of camera traps, there is an urgent need to
reflect on how researchers should deal with human images caught on
cameras. On the one hand, it is important to respect the privacy of
individuals caught on cameras, while, on the other hand, there is a
larger public duty to report illegal activity. This creates ethical
dilemmas for researchers.
3. Here, based on our camera-trap research on snow leopards Panthera
uncia, we outline a general code of conduct to help improve the practice
of camera trap based research and help researchers better navigate the
ethical-legal tightrope of this important research tool.
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Esson, C., Skerratt, L. F., Berger, L., Malmsten, J., Strand, T., Lundkvist, A., Järhult, J. D., Michaux, J., Mijiddorj, T. N.,, Bayrakçısmith, R., Mishra, C., Johansson, O. (2019). Health and zoonotic Infections of snow leopards Panthera unica in the South Gobi desert of Mongolia. Infection Ecology & Epidemiology, 9(1604063), 1–11.
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.
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Tiwari, M. P., Devkota, B. P., Jackson, R. M., Chhetri, B. B.
K., Bagale, S. (2020). What Factors Predispose Households in Trans-Himalaya (Central
Nepal) to Livestock Predation by Snow Leopards? Animals, 10(2187), 1–14.
Abstract: Livestock depredation across the trans-Himalaya causes
significant economic losses to pastoralist communities. Quantification
of livestock predation and the assessment of variables associated with
depredation are crucial for designing effective long-term mitigation
measures. We investigated the patterns and factors of livestock
depredation by snow leopards (Panthera uncia) using semi-structured
questionnaires targeting herders in the Narphu valley of the Annapurna
Conservation Area, Nepal. During the two years (2017/18 and 2018/19),
73.9% of the households interviewed (n = 65) lost livestock to snow
leopards, with an annual average loss of two livestock per household. Of
the total depredation attributed to snow leopards, 55.4% were yak
(mainly female: 79%), 31.7% goat, 6.8% sheep, 3.2% horse and 2.8%
cattle. Results from applying Generalized Linear Mixed Models (GLMMs)
revealed the total number of livestock owned and the number of larger
bodied livestock species as the main explanatory covariates explaining
livestock depredation. Forty-one (41%) of all herders considered snow
leopard’s preference for domestic livestock as the main factor in
livestock predation, whereas only 5% perceived poor herding practice as
the main reason for the loss. Our study found poor and changing herding
practices in the valley, whereby 71% herders reported careful herding as
a solution to snow leopard depredation, and 15% of herders considered
the complete extermination of snow leopards as the best solution to the
problem. Tolerance levels and awareness among herders towards snow
leopard conservation is increasing, mainly due to the Buddhist religion
and strict law enforcement within this protected area. We recommend the
effective implementation of a community-based livestock insurance scheme
to compensate the economic loss of herders due to predation and improved
herding practices as the recommended mitigation measures for ensuring
livestock security and snow leopards’ conservation in the valley.
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Koju. N. P,, Bashyal, B., Pandey, B. P., Shah, S. N., Thami, S., Bleisch, W. V. (2020). First camera-trap record of the snow leopard Panthera uncia in Gaurishankar Conservation Area, Nepal. Oryx, , 1–4.
Abstract: The snow leopard Panthera uncia is the flagship species of the high mountains of the Himalayas. There is po- tentially continuous habitat for the snow leopard along the northern border of Nepal, but there is a gap in information about the snow leopard in Gaurishankar Conservation Area. Previous spatial analysis has suggested that the Lamabagar area in this Conservation Area could serve as a transbound- ary corridor for snow leopards, and that the area may con- nect local populations, creating a metapopulation. However, there has been no visual confirmation of the species in Lamabagar. We set !! infrared camera traps for " months in Lapchi Village of Gaurishankar Conservation Area, where blue sheep Pseudois nayaur, musk deer Moschus leucogaster and Himalayan tahr Hemitragus jemlahicus, all snow leopard prey species, had been observed. In November #$!% at &,!$$ m, ' km south-west of Lapchi Village, one camera recorded three images of a snow leopard, the first photographic evidence of the species in the Conservation Area. Sixteen other species of mammals were also recorded. Camera-trap records and sightings indicated a high abun- dance of Himalayan tahr, blue sheep and musk deer. Lapchi Village may be a potentially important corridor for snow leopard movement between the east and west of Nepal and northwards to Quomolongma National Park in China. However, plans for development in the region present in- creasing threats to this corridor. We recommend develop- ment of a transboundary conservation strategy for snow leopard conservation in this region, with participation of Nepal, China and international agencies.
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Sultan, H. (2020). Issues and Opportunities Associated with Trophy Hunting and Tourism in Khunjerab National Park, Northern Pakistan. Animals, 10(597), 1–20.
Abstract: Trophy hunting and mass tourism are the two major interventions designed to provide various socioeconomic and ecological benefits at the local and regional levels. However, these interventions have raised some serious concerns that need to be addressed. This study was conducted in Khunjerab National Park (KNP) with an aim to analyze comparatively the socioeconomic and ecological impacts of trophy hunting and mass tourism over the last three decades within the context of sustainability. Focus Group Discussions (FGDs) with key stakeholders and household interviews were conducted to collect data on trophy hunting and mass tourism, and on local attitudes towards these two interventions in and around KNP. The results revealed that 170 Ibex (Capra sibirica) and 12 Blue sheep (Pseudois nayaur) were hunted in the study area over the past three decades, and trophy hunting was not based on a sustainable harvest level. Trophy hunting on average generated USD 16,272 annual revenue, which was invested in community development. However, trophy hunting has greatly changed the attitudes of local residents towards wildlife: a positive attitude towards the wild ungulates and strongly negative attitude towards wild carnivores. In addition, trophy hunting has reduced the availability of ungulate prey species for Snow leopards (Panthera uncia), and consequently, Snow leopards have increased their predation on domestic livestock. This has, in turn, increased human–snow leopard conflict, as negative attitudes towards carnivores result in retaliatory killing of Snow leopards. Furthermore, according to ocial record data, the number of tourists to KNP has increased tremendously by 10,437.8%, from 1382 in 1999 to 145,633 in 2018. Mass tourism on average generated USD 33,904 annually and provided opportunities for locals to earn high incomes, but it caused damages to the environment and ecosystem in KNP through pollution generation and negative impacts on wildlife. Considering the limited benefits and significant problems created by trophy hunting and mass tourism, we suggest trophy hunting should be stopped and mass tourism should be shifted to ecotourism in and around KNP. Ecotourism could mitigate human–Snow leopard conflicts and help conserve the fragile ecosystem, while generating enough revenue incentives for the community to protect biodiversity and compensate for livestock depredation losses to Snow leopards. Our results may have implications for management of trophy hunting and mass tourism in other similar regions that deserve further investigation.
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Zhang, L., Lian, X., Yang, X. (2020). Population density of snow leopards (Panthera Uncia) in the Yage Valley Region of the Sanjiangyuan National Park: Conservation Implications and future directions. Artic, Antartic and Alpine Research, 52(1), 541–550.
Abstract: Population-based studies on snow leopard (Panthera uncia) are of theoretical and practical sig- nificance for the conservation of alpine ecosystems, though geographic remoteness and isolation hinder surveys in many promising regions. The Sanjiangyuan National Park on the Tibetan Plateau is acknowledged as a main snow leopard habitat, but most of the region remains unexplored and unknown. We adopted a combined approach of route survey and camera trapping survey to explore the population density of snow leopard in the Yage Valley region of the Sanjiangyuan National Park. Results indicated that (1) large populations of blue sheep contributed to the major food supply for snow leopards, along with diverse prey species as dietary supplementations, and (2) a population density of four to six snow leopards per 100 km2 on the north bank was estimated, and nine to fourteen individuals within the valley core areas were identified. We also argue that under the potential impacts of hydropower dams, this valley ecosystem should be symbolized as a conservation hotspot and therefore merits prioritized conservation. We recommend further surveys combined with novel methods/techniques and advocate a sustainable ecotourism model for the first V-shaped valley along the Yangtze mainstream.
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Atzeni, L., Cushman, S. A., Bai, D., Wang, J., Chen, P., Shi,
K., Riordan, P. (2020). Meta-replication, sampling bias, and multi-scale model selection:
A case study on snow leopard (Panthera uncia) in western China. Ecology and Evolution, , 1–27.
Abstract: Replicated multiple scale species distribution models (SDMs)
have become increasingly important to identify the correct variables
determining species distribution and their influences on ecological
responses. This study explores multi-scale habitat relationships of the
snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan
Plateau of western China. Our primary objectives were to evaluate the
degree to which snow leopard habitat relationships, expressed by
predictors, scales of response, and magnitude of effects, were
consistent across study areas or locally landcape-specific. We coupled
univariate scale optimization and the maximum entropy algorithm to
produce multivariate SDMs, inferring the relative suitability for the
species by ensembling top performing models. We optimized the SDMs based
on average omission rate across the top models and ensembles’ overlap
with a simulated reference model. Comparison of SDMs in the two study
areas highlighted landscape-specific responses to limiting factors.
These were dependent on the effects of the hydrological network,
anthropogenic features, topographic complexity, and the heterogeneity of
the landcover patch mosaic. Overall, even accounting for specific local
differences, we found general landscape attributes associated with snow
leopard ecological requirements, consisting of a positive association
with uplands and ridges, aggregated low-contrast landscapes, and large
extents of grassy and herbaceous vegetation. As a means to evaluate the
performance of two bias correction methods, we explored their effects on
three datasets showing a range of bias intensities. The performance of
corrections depends on the bias intensity; however, density kernels
offered a reliable correction strategy under all circumstances. This
study reveals the multi-scale response of snow leopards to environmental
attributes and confirms the role of meta-replicated study designs for
the identification of spatially varying limiting factors. Furthermore,
this study makes important contributions to the ongoing discussion about
the best approaches for sampling bias correction.
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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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Young, J. C., Alexander, J. S., Bijoor, A., Sharma, D., Dutta, A., Agvaantseren, B., Mijiddorj, T. N., Jumabay, K., Amankul, V., Kabaeva, B., Nawaz, A., Khan, S., Ali, H., Rullman, J. S., Sharma, K., Murali, R., Mishra, C. (2021). Community-Based Conservation for the Sustainable Management of Conservation Conflicts: Learning from Practitioners (Vol. 13).
Abstract: We explore the role of community-based conservation (CBC) in the sustainable management of conservation conflicts by examining the experiences of conservation practitioners trying to address conflicts between snow leopard conservation and pastoralism in Asian mountains. Practitioner experiences are examined through the lens of the PARTNERS principles for CBC (Presence, Aptness, Respect, Transparency, Negotiation, Empathy, Responsiveness, and Strategic Support) that represent an inclusive conservation framework for effective and ethical engagement with local communities. Case studies from India, Kyrgyzstan, Mongolia, and Pakistan show that resilient relationships arising from respectful engagement and negotiation with local communities can provide a strong platform for robust conflict management. We highlight the heuristic value of documenting practitioner experiences in on-the-ground conflict management and community-based conservation efforts.
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Maheshwari, A., Takpa, J., Kujur, S., Shawl, T. (2010). An Investigation of Carnivore-Human Conflicts in Kargil and Drass Areas of Jammu and Kashmir, India. India.
Abstract: Still, there are areas from where very poor information is available on snow leopard and associated species. Keeping this in view, Kargil and Drass areas of Ladakh,Jammu and Kashmir were identified as “gaps” in available information on snow leopard. Kargil has not received much attention for wildlife studies due to its proximity to the International Boundary between India and Pakistan and resultant security implications. The only information available from the area is from a study done by Sathyakumar (2003) on the occurrence of Himalayan brown bear from Zanskar and Suru Valleys in Ladakh. But there was very poor information on the occurrence and distribution of other carnivores and conflicts with humans in Kargil. Therefore, this study was felt necessary to establish the following objectives:
1. Surveys for the occurrence and distribution of snow leopard and other large
carnivores and their prey
2. To estimate abundance of prey species
3. To study food habits of snow leopard and other carnivores based on scat analysis
4. To study the of carnivore – human conflicts
5. To study the socio-economic conditions of rural community and develop local
awareness programme
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(1978). Miraki Reservation, Chatkal Reservation.
Abstract: It describes history of the Miraki and Chatkal nature reserves' establishment and provides data concerning area, landscapes, altitude zoning, flora and fauna as well as natural monuments.
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(1978). Rare Animals and their Protection in the USSR.
Abstract: It described categories of threat (Category A and Category B). Snow leopard was assessed under Category A the species whose numbers and habitats have sharply diminished and are continuing to diminish as a consequence of direct persecution, destruction of their habitat or other causes. The snow leopard (Pardus uncia) inhabits the mountains of the Tien Shan range, Tarbagatai, Saur, Altai and the Sayans. Exploitation of mountain areas and depletion of stocks of wild ungulates (Siberian mountain goats and wild sheep) have led to a sharp reduction in the number of snow leopards. It is estimated that today only about one thousand leopards are left, and they have accordingly been placed under complete protection. Hunting and selective shooting are everywhere prohibited. Catching leopards is regulated by the articles of the international convention restricting trade in rare species of plants and animals.
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(1988). Plan to conserve snow leopard. Herald News Service.
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(1995). Resolutions of the Eighth International Snow Leopard Symposium. In Eighth International Snow Leopard Symposium (pp. 1–3). Eighth International Snow Leopard Symposium.
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(1998). Biological diversity conservation. National strategy and action plan of the Republic of Uzbekistan.
Abstract: The National strategy and action plan of the Republic of Uzbekistan was signed on April 1, 1998. Snow leopard was included in the list of rare and endangered animal species and referred to category 2 a rare, not endangered species. It is distributed in highlands of the West Tien Shan and Pamiro-Alay. Its population is 30-50 animals. Snow leopard is protected in the Chatkal, Gissar nature reserve, and Ugam-Chatkal national park.
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(2002). Biological resources.
Abstract: It provides a summary of plant and animal resources in Uzbekistan. Among 15,000 animal species, 664 are vertebrate species including 424 bird, 97 mammal, 83 fish, 59 reptile and three amphibian species. Snow leopard, snow cock, ibex, and other species are typical for highlands.
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(2002). Special protected areas (nature reserves, natural and national parks, zakazniks, natural monuments).
Abstract: The list and brief description of existing protected areas of Uzbekistan are given. The snow leopard recorded in Chatkal and Hissar nature reserves.
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Abdulnazarov A.G. (2002). About status of the Red Book vertebrates in the Zorkul nature reserve.
Abstract: In the nature reserve, there are 18 animal species listed in the Red Book of the Republic of Tajikistan including 8 mammal species, one of which, snow leopard, is in the Red List of IUCN. There are 10 Red Book bird species in the nature reserve. Pamir argali is represented by several dozens of isolated groups. No encounters of Tien Shan brown bear, dhole and lynx have been reported in the nature reserve over the last years. A total number of mountain geese were about 400, in the year 2001. Mongolian saker falcon was met twice. Two golden eagles and six lammergeyers were found too.
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Abdunazarov B.B. (2002). Biodiversity of mammals in the Western Tien Shan and its conservation.
Abstract: The mammal fauna of Uzbekistan's mountain ecosystems is represented by some 60 species. Data on mammal species composition in the Western Tien Shan (48 species) and Pamir-Alai (57 species) is given. A quantity of species endemic to the mountainous ecosystems of Uzbekistan is defined. Quantities of nine rare species inhabiting the mountain ecosystems, including snow leopard, are given. Number of snow leopard in Pamir-Alai and the Western Tien Shan is estimated to be 30-50 animals.
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Abdunazarov B.B. (1994). Rare and endangered animal species in the Kashkadaraya region.
Abstract: 41 percent of all vertebrate species listed in the Red Book of the Uzbek SSR (18 mammal species, 29 bird, 6 reptile, and 8 fish species) inhabit the Kashkadarya region. The mammals are Tien Shan brown bear, Central Asian otter, Turkistan lynx, snow leopard, and goitered gazelle. Nesting bird fauna includes the following species: black stork, Turkistan white stork, short toed eagle, booted eagle, golden eagle, bearded vulture, black vulture, griffon vulture, saker falcon, houbara bustard, and eagle owl. Migrating and wintering bird species are dalmatian pelican, rose pelican, mute swan, osprey, tawny eagle, imperial eagle, pin-tailed sandgrouse; and possibly Bonnli's eagle and Barbary falcon that have not been seen here since 1950-s. Rare reptiles are represented by two species: desert monitor and Central Asian cobra.
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Abdunazarov B.B. (2003). Snow Leopard.
Abstract: Snow leopard (Uncia uncia) listed in Red Data Book of Republic of Uzbekistan (2003) and Appendix II CITES.
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Abdunazarov B.B. (2003). Number of some species of rare mammals of Uzbekistan.
Abstract: It gives expert assessment of number for the rare mammals from Uzbekistan: Tien Shan brown bear (600), Central Asian otter (100), Turkestan lynx (100-150), snow leopard (30), Severtzov's argali (2500), Bukhara urial (200), markhor (300), Menzbier's marmot (22,000). All species included in Uzbek Red Data book.
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