Vinogradov B.S.& Flerov K.K. (1935). I.Pamir. II. East Bukhara. 1935.
Abstract: East Pamir is a transitive zone on border Tibetan, East Tien Shan, Western Tien Shan, Himalaya and Afghani fauna and is characterized by low diversity of mammals. Ungulates of east part are presented: Ivis dŒlii Š ¥…dr… sibirica s…k††n. Predators are presented ¥…nis lŠdŠs laniger (Tibetan subspecies); Vulpes vulpes ferganensis, IŠstela alpina alpina, IŠstela †r•inea ferganae, IŠst†l… nivalis d…llid…, I…rt†s foina, F†lis 1¢‹o iz…b†lli‹…, U‹ci… Š‹ci… Š‹cia (Central Asian and South Asian spp.); Ursus …r¤tŒs …ff. s¢riacus, I†l†s •†l†s, LŠtr… lutr… seistanica (South West Asian species). East Bukhara (Turkestan, Zeravshan, Hissar, Peter the Great, Darvaza, etc., and also the Western Pamir) is characterized by presence of representatives of the Indo-Afghani fauna (Capra falconeri, Ovis vignei, Cervus affinis, Mellivora indica (?), Vulpes canus, Otonycteris hemprichi, Nesokia indica, Rattus turkestanicus), Southwest Asia fauna (Felis pardus tulliana, Felis tigris septentrionalis, Canis aureus aureus, Lutra lutra seistanica, Hyaena hyaena), as well as species of widely distrebuted within the Southern and Southwest Asia (Felis ornata, Felis chaus, Vormela peregusna, Maries foina, Mustela nivalis, Ursus arctos syriacus, Hystrix hirsutirostris), or Central Asian species (Felis lynx isabelina, Mustela alpina, Mustela erminea, Otocolobus manul, Vulpes vulpes karagan Š „d.). Endemics of East Bukhara are Microtus carruthersi, Microtus bucharensis, Sorex bucharensis.
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Cunha, S. F. (1997). Hunting of Rare and Endangered Fauna in the Mountains of Post-Soviet Central Asia. In R.Jackson, & A.Ahmad (Eds.), (pp. 110–120). Lahore, Pakistan: Islt.
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Dzhanyspaev, A. D. (1991). Hunting Behavior of the Snow Leopard at the Alma-Atinski Nature Reserve (Vol. ix). Seattle: International Snow Leopard Trust.
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Ishunin G.I. (1984). Hunting and nature conservation in Uzbekistan (history and current status).
Abstract: Origination of fauna complexes in Uzbekistan from the Mustier period to present time is described. The remains of brown bear, cave hyena, wolf, fox, corsac, stone marten, badger, and snow leopard were found in cave Amankutan (western extremities of the Zaravshan ridge). Cattle breeding and farming has begun since mesolite; cave bear, Stenon horse, Pleistocene donkey, camel and aurochs dropped from the region's fauna, while marchor and striped hyena moved to the Hissar ridge, Babatag and Kugitang mountains from south; jackal, chaus, tiger, and Iranian otter settled along the river valleys. In the Neolith and Bronze Age cattle breeding and farming continued to develop, while hunting was less important. Mass hinting for animals in the time of Alexander the Great, Chingiz Khan, and Babur, the ruler of Fergana, is described. Mass extermination of kulan, goitered gazelle, saiga, and other game species also took place later more than 12,000 saigas were killed during one hunt at the end of 19th century in the Volga region. Animals also die from natural disasters the “djut”. Data concerning a current status of goitered gazelle, saiga, Bukhara deer, marchor, Severtsev's sheep, and urial is given.
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Li, J., Yin, H., Wang, D., Jiagong, Z., Lu, Zhi. (2013). Human-snow leopard conflicts in the Sanjiangyuan Region of the Tibetan Plateau. Biological Conservs, (166), 118–123.
Abstract: Conflicts between humans and snow leopards are documented across much of their overlapping distribution
in Central Asia. These conflicts manifest themselves primarily in the form of livestock depredation
and the killing of snow leopards by local herders. This source of mortality to snow leopards is a key conservation concern. To investigate human-snow leopard conflicts in the Sanjiangyuan Region of the Tibetan Plateau, we conducted household interviews about local herders’ traditional use of snow leopard
parts, livestock depredation, and overall attitudes towards snow leopards. We found most respondents
(58%) knew that snow leopard parts had been used for traditional customs in the past, but they claimed
not in the past two or three decades. It may be partly due to the issuing of the Protection of Wildlife Law
in 1998 by the People’s Republic of China. Total livestock losses were damaging (US$ 6193 per household
in the past 1 year), however snow leopards were blamed by herders for only a small proportion of those
losses (10%), as compared to wolves (45%) and disease (42%). Correspondingly, the cultural images of
snow leopards were neutral (78%) and positive (9%) on the whole. It seems that human-snow leopard
conflict is not intense in this area. However, snow leopards could be implicated by the retaliatory killing
of wolves. We recommend a multi-pronged conservation program that includes compensation, insurance
programs, and training local veterinarians to reduce livestock losses.
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Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. (2022). How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas. Journal of Resources and Ecology, 13(3), 483–500.
Abstract: The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain.
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Xiao, C., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. (2022). How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas. Journal of Resources and Ecology, 13(3), 483–500.
Abstract: The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain.
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Houston Zoological Society. (1979). Houston's summer snow.
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Aromov B. (2004). Hissar state nature reserve.
Abstract: Presented is history of the Hissar nature reserve's establishment, physic and geographic description, types of soils, flora and fauna The 28 species of mammals, 103 nested birds, 19 amphibians and reptiles and 2 fishes are presented in nature reserve. Number of snow leopard assessed as 2-3 families, bear 130 individuals, wild boar 460, Turkestan lynx 90,ibex 1700 individuals.
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Fox, J. L., & Nurbu, C. (1990). Hemis, a national park for snow leopards in India's Trans-Himalaya. Int.Pedigree Book of Snow Leopards, 6, 71–84.
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