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Kashkarov D.N. (1932). Order Carnivora- Carnivores. Family Felidae-Cats.
Abstract: Snow leopard inhabits Tien Shan, Pamir, Bukhara and possibly Kopet-dag, as well as the Altai, Tibet, and northern slopes of the Himalayas. It preys on ibex, wild sheep, roe deer, hare, keklik (partridge), snow-cock and porcupine and sometimes attacks livestock. Snow leopard is not considered a dangerous animal since even being wounded, it would escape from men and could only rush to the attack when deadlocked.
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Kashkarov D.N. (1935). The cat family (Felidae).
Abstract: A taxonomic characteristic of family Felidae is given. A brief description of the origin and distribution of modern Felidae species is provided. Snow leopard (Felis uncia) is noticed to be met in the mountains of Central Asia. It says that though being a rare species, snow leopard, together with leopard and tiger, causes a considerable damage by exterminating large ungulates and sometimes attacking man.
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Kashkadarinskaya Pravda Newspaper. (1983). Snow leopard goes to Frunze (Vol. 79 (26-11)).
Abstract: In canyon Karakol of the Alatoo ridge, a snow leopard was caught for a zoo of Frunze.
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Kamelin R.V. (1990). The Hissar Nature reserve.
Abstract: It provides general information about the Hissar nature reserve (Uzbekistan), its physico-geographical features and description of flora and fauna. The following predator species inhabit the nature reserve: wolf, fox, Tien Shan brown bear (four five animals per 100 sq. km), ermine, weasel, stone marten, otter, badger, lynx (two animals per 100 sq. km) and snow leopard (about 10 animals). Wild boar and ibex are common species for the area (22 25 animals per 100 sq. km).
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Kaletskiy A.A. (1974). May-“traven”.
Abstract: Diverse flora and fauna and seasonal phenomena in nature are stated in a popular form. Snow leopard is noticed to be a rare species, its population being significantly influenced by catching for zoos: over 400 snow leopards have been caught for this purpose over the last 35 years.
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Kaletskiy A. (1978). They must live (Vol. N 11.).
Abstract: Among large predators included in the Red Data Book of the USSR and Red List of IUCN the author describes snow leopard. A population of snow leopard in the USSR is estimated to be 500 animals, and no more than 1,000 in the world. In the past, irbis was believed to be a harmful animal and hunting for this species was encouraged. Today, population of the predator is reducing because of poaching and decreasing number of species it preys on such as ibex, wild sheep, wild boar, and marmots. The situation is exacerbated by biological features of this species first of all its slow rate of reproduction. It is concluded that snow leopard needs urgent protection measures since the species is on the verge of disappearance.
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Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. (2019). POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL.98(3), 332–342.
Abstract: The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed
across vast territories and adequate modern methods are required for mapping its potential habitats. The goal
of the present study is to create a model of snow leopard potential habitat within the northern part of its range
in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations
(total number of presence points = 449), environmental variables and the maximum entropy distribution
method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal�s
presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2
with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable
habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen
Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection
status. The results of modeling are of importance both for scientists and conservation managers, as they
allow for leopard occurrence to be predicted, supporting research on and the conservation of the species.
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Kadamshoev M. (1990). Establishment of highland nature reserves required (Vol. Part 1.).
Abstract: Human population growth in the Mountain Badakhshan autonomous province will result in changes of wild life habitat. The first highland nature reserve (Muksu river basin) is proposed to be established within the habitat of Marco Polo sheep, Siberian ibex, Tien Shan brown bear, snow leopard, Himalayan and Tibetan snow-cock, bar-headed goose, bearded and Himalayan vultures. The Mountain Badakhshan nature reserve will serve as a reference for other highland landscapes of the USSR, a `fiduciary' of gene bank containing valuable endemic, rare, and endangered animal and plant species.
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Kachel, S., Bayrakcismith, R., Kubanychbekov, Z., Kulenbekov, R., McCarthy, T., Weckworth, B., Wirsing, A. (2022). Ungulate spatiotemporal responses to contrasting predation risk from wolves and snow leopards. Journal of Animal Ecology, , 1–16.
Abstract: 1. Spatial responses to risk from multiple predators can precipitate emergent consequences for prey (i.e. multiple-predator effects, MPEs) and mediate indirect interactions between predators. How prey navigate risk from multiple predators may therefore have important ramifications for understanding the propagation of predation-risk effects (PREs) through ecosystems.
2. The interaction of predator and prey traits has emerged as a potentially key driver of antipredator behaviour but remains underexplored in large vertebrate systems, particularly where sympatric prey share multiple predators. We sought to better generalize our understanding of how predators influence their ecosystems by considering how multiple sources of contingency drive prey distribution in a multi-predator–multi-prey system.
3. Specifically, we explored how two sympatric ungulates with different escape tactics—vertically agile, scrambling ibex Capra sibirica and sprinting argali Ovis ammon—responded to predation risk from shared predators with contrasting hunting modes—cursorial wolves Canis lupus and vertical-ambushing, stalking snow leopards Panthera uncia.
4. Contrasting risk posed by the two predators presented prey with clear trade-offs. Ibex selected for greater exposure to chronic long-term risk from snow leopards, and argali for wolves, in a nearly symmetrical manner that was predictable based on the compatibility of their respective traits. Yet, acute short-term risk from the same predator upended these long-term strategies, increasing each ungulates' exposure to risk from the alternate predator in a manner consistent with a scenario in which conflicting antipredator behaviours precipitate risk-enhancing MPEs and mediate predator facilitation. By contrast, reactive responses to wolves led ibex to reduce their exposure to risk from both predators—a risk-reducing MPE. Evidence of a similar reactive risk-reducing effect for argali vis-à-vis snow leopards was lacking.
5. Our results suggest that prey spatial responses and any resulting MPEs and prey-mediated interactions between predators are contingent on the interplay of hunting mode and escape tactics. Further investigation of interactions among various drivers of contingency in PREs will contribute to a more comprehensive understanding and improved forecasting of the ecological effects of predators.
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Kachel, S., Anderson, K., Shokirov, Q. (2022). Predicting carnivore habitat use and livestock depredation risk with false-positive multi-state occupancy models. Biological Conservation, 271(109588), 1–10.
Abstract: The cycle of livestock depredation and retaliatory killing constitutes a major threat to large carnivores worldwide and imposes considerable hardships on human communities. Mitigation efforts are often undertaken with little knowledge of ecological underpinnings and patterns of depredation, limiting conservationists' ability to develop, prioritize, and evaluate solutions. Carnivore detection and depredation data from interviews in affected communities may help address this gap, but such data are often prone to false-positive uncertainty. To address these challenges in the Pamir Mountains of Tajikistan we collected snow leopard, lynx, wolf, and bear detection and depredation reports from local communities via semi-structured interviews. We used a novel hierarchical multi-species multi-state occupancy model that accounted for potential false-positives to investigate carnivore site use and depredation concurrently with respondents' apparent vulnerability to that risk. Estimated false-positive probabilities were small, but failure to account for them overstated site use probabilities and depredation risk for all species. Although individual vulnerability was low, depredation was nonetheless commonplace. Carnivore site use was driven by clear habitat associations, but we did not identify any clearly important large-scale spatial correlates of depredation risk despite considerable spatial variation in that risk. Respondents who sheltered livestock in household corrals reinforced with wire mesh were less likely to report snow leopard depredations. Reducing depredation and retaliation at adequately large scales in the Pamirs will likely require a portfolio of species-specific strategies, including widespread proactive corral improvements. Our approach expanded inference on the often-cryptic processes surrounding human-carnivore conflict even though structured wildlife data were scarce.
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