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Baidavletov R.J. (2002). Large predators of the Kazakhstan Altai and their importance for hunting industry.
Abstract: Fauna of large predatory mammals in the Kazakhstan Altai is represented by five species: wolf, bear, glutton, lynx, and snow leopard. Snow leopard inhabits the Sarymsakty and Tarbagai ridges and South Altai. This species is observed to regularly penetrate into the Kutun and Kurchum ridges. Its habitat covers an area of 1,800 sq. km, its population being 14-16 animals. The population density is 0.7 1.0 animals per 100 sq. km. A hunting area of a female animal with two cubs is 45 85 sq. km; a male 120 sq. km. Snow leopard main preys on ibex (41.1 percent), roe-deer (31.0 percent), and moral (13.8 percent); in summer on gray marmot (28.6 percent). Snow leopard is also known to prey on hares, birds, argali, and elks.
Keywords: Kazakhstan; Altai; large predators; snow leopard; distribution; number; preys.; 6110; Russian
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Atzeni, L., Wang, J., Riordan, P., Shi, K., Cushman, S. A. (2023). Landscape resistance to gene flow in a snow leopard population from Qilianshan National Park, Gansu, China. Landscape Ecology, .
Abstract: Context: The accurate estimation of landscape resistance to movement is important for ecological understanding and conservation applications. Rigorous estimation of resistance requires validation and optimization. One approach uses genetic data for the optimization or validation of resistance models. Objectives We used a genetic dataset of snow leopards from China to evaluate how landscape genetics resistance models varied across genetic distances and spatial scales of analysis. We evaluated whether landscape genetics models were superior to models of resistance derived from habitat suitability or isolation-by-distance.
Methods: We regressed genetically optimized, habitat-based, and isolation-by-distance hypotheses against genetic distances using mixed effect models. We explored all subset combinations of genetically optimized variables to find the most supported resistance scenario for each genetic distance. Results: Genetically optimized models always out-performed habitat-based and isolation-by-distance hypotheses. The choice of genetic distances influenced the apparent influence of variables, their spatial scales and their functional response shapes, producing divergent resistance scenarios. Gene flow in snow leopards was largely facilitated by areas of intermediate ruggedness at intermediate elevations corresponding to small-to-large valleys within and between the mountain ranges. Conclusions: This study highlights that landscape genetics models provide superior estimation of functional dispersal than habitat surrogates and suggests that optimization of genetic distance should be included as an optimization routine in landscape genetics, along with variables, scales, effect size and functional response shape. Furthermore, our study provides new insights on the ecological conditions that promote gene flow in snow leopards, which expands ecological knowledge, and we hope will improve conservation planning. |
Koshkarev E.P. (1990). Key areas of snow leopard's habitat as main conservation objects (Vol. Part. 1.).
Abstract: The most vulnerable key areas within the snow leopard habitat are East Kazakhstan (an area of 48,000 square km) with no protected areas network established, and South Siberia (131,000 square km), where snow leopard is protected in three nature reserves. These areas are distant from main part of the habitat, isolated and have more extreme conditions. In Central Asia's key area (213,000 square km) linked to a main Chinese-Afghani part of the habitat, snow leopard was found in 11 nature reserves and two national parks. For reliable protection of this species it would be expedient to strengthen the role of the mountain nature reserves by means of extension and amalgamation of the areas, and other measures.
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Nardelli, F. (1982). Keeping and breeding snow leopards at the Rare Felids Increasing Centre, Nettuno, Italy. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 3 (Vol. 3, pp. 63–66). Helsinki: Helsinki Zoo. |
Syroyechkovskiy E.E. (1975). Kazakhstan and Central Asia.
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.
Keywords: Central Asia; Kazakhstan; fauna; snow leopard; distribution.; 8370; Russian
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Chichikin Yu.N., Y. A. I. (1969). Issyk Kul nature reserve.
Abstract: A description of the Issyk Kul nature reserve (Kyrgyzstan) is given and includes as follows: data of establishment, location, physic and geographic description, climate, flora and fauna. Snow leopard inhabited in Jety Oguz site of the nature reserve.
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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.
Keywords: trophy hunting; mass tourism; Pamir; eco-tourism; human-Snow leopard conflict
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Thapa, K. (2005). Is their any correlation between abundance of blue sheep population and livestock depredation by snow leopards in the Phu Valley, Manang District, Annapurna Conservation Area? Final report.
Abstract: This study was undertaken in the Phu valley of Manang district in the Annapurna Conservation Area, Nepal,
Spring, 2004 and 2005. I used the Snow Leopard Management Information System (“second order” survey technique), to determine the relative abundance of snow leopards in delineated areas in Phu valley. Transects routes were plotted by randomly selected feasible landforms such as along ridgelines, cliff bases and river bluffs where snow leopards sign is likely to be found. Altogether, 16 transects (total length of 7.912 km) were laid down (mean transect length=0.495 km). They revealed, 54 sign sites (both relic and non-relic) and altogether 88 signs (72 scrapes, 11 feces, 3 scent mark, 2 pugmarks and 1 hair) were recorded (6.8 site/km and 11.1 signs/km). There were 61.1% non-relic and 38.9% relic sites. The density of snow leopards in Phu Valley may be 4-5 snow leopards/100 kmý.It was found that the Ghyo block had the highest sign density (13.6 mean sign item/km) and Phu block (9.8 mean sign item/km) and the lowest in Ngoru block (3.9 mean sign item/km.). For blue sheep, direct count method was applied from different appropriate vantage points (fixed-point count). I counted total individuals in each herd and classified all individuals whenever possible, using 8 X24 binocular and 15-60x spotting scope. A total 37 blue sheep herds and 1209 individuals were observed in 192.25 kmý of the study area (blue sheep density, 6.3 kmý). Average herd size was 32.68. Herd size varied from 1 to 103 animals (the largest so far recorded). The average sex ratio male to female for the entire survey area was 0.67. Recruitment rate was 47.13. The ratio of yearlings to adult female was 0.45. In Ghyo block had total 168 blue sheep (area, 44.08 km2 or 3.8/ km2 i.e. 137.2 kg/ kmý). Blue sheep density in Ngoru block showed 4.7/km2 (area, 65.47 km2). Highest density of blue sheep among three blocks was recorded in Phu block, 8.9/km2 (or 320 kg/km2) in its 82.70 km2 area. A standard questionnaire was designed, and interviews conducted for relevant information was collected on livestock depredation patterns (total household survey). Out of 33 households surveyed, 30 reported that they had livestock depredation by the snow leopard in 2004. Altogether 58 animals were reportedly lost to snow leopards (3.1% of the total mortality). Out of the estimated standing available biomass (1, 83,483kg) in the Phu valley at least 2220 kg or 1.3% of the total livestock biomass was consumed by snow leopards in the year of our study (2004). It was estimated that in the Phu valley annually 1.8 animals were lost per household to snow leopards. This means approx. Rs.413560 (US$ 5,908) is lost annually in the valley (US$ 179/household/annum). Ghyo block, had the highest animals loss (53.4%), followed by Phu block (36.2%) and Ngoru block (10.3%) to snow leopards. There is positive correlation among the densities of blue sheep, relative abundance of the snow leopard and livestock depredation. Blue sheep is the main prey species of the snow leopard in Phu valley and its conservation therefore matters to reduce livestock depredation. A general patterns appears here that shows that blue sheep (prey) abundance determine snow leopard (predator) abundance and that livestock depredation by snow leopards may be minimal where there is good population of blue sheep, and vice versa. Keywords: abundance; blue; blue sheep; blue-sheep; sheep; population; livestock; livestock depredation; livestock-depredation; depredation; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; valley; Manang; annapurna; annapurna conservation area; Annapurna-Conservation-Area; conservation; area; Report; project; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; Nepal
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Ishunin G.I. (1961). Irbis, or snow leopard Felis (Uncia) uncia S¤hr†b†a 1778 (Vol. Vol. 3.).
Abstract: It describes diagnostic signs and taxonomy of snow leopard as well as its distribution, behavioral patterns and use in Uzbekistan. This predator inhabits the Ugam, Pskem, Chatkal, Turkistan, and Gissar ridges. It mainly preys on ibex, and marmots, vole-mouse, and snow-cocks. Sometimes it attacks domestic sheep. Snow leopard is of low commercial value. The cost of skin is 4 roubles 70 kopecks. Only a few skins are purchased.
Keywords: Uzbekistan; snow leopard; taxonomy; distribution; behavior; practical use.; 6880; Russian
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Brem A.E. (1992). Irbis, or snow leopard (Felis uncia) (Vol. Vol.1. Mammals.).
Abstract: Snow leopard is met in the mountains of Turkistan, Altai, Bukhara, Pamir, Kashmir, and Tibet, and probably in South-East Siberia and along Sungari. In 1871, two animals were living in the Moscow Zoo Garden.
Keywords: snow leopard; distribution; identification features.; 6390; Russian
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