Lydekker, R. (1907). The Game Animals of India, Burma, Malaya, and Tibet.. London: Rowland Ward.
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Kuznetsnov, G. U., & Matyushkin, E. N. (1980). The snow leopard hunts. Int.Ped.Book of Snow Leopards, 11, 44–48.
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Koshkarev, E. P. (1984). Characteristics of snow leopard (Uncia uncia) movements in the Tien Shan. International Pedigree Book of Snow Leopards, 4, 15–21.
Abstract: Reports on a 3 yr winter study of snow leopard movements and activity, based on following tracks in the snow in Tien Shan Mountains of USSR. Travel route preference is examined with regard to snow and terrain characteristics, and prey abundance. Snow leopard kills of ibex and hare are noted
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Koshkarev, E. P. (1988). An Unusual Hunt. Int.Ped.Book of Snow Leopards, 5, 9–12.
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Koshkarev, E. (1994). Evaluation of the presence of snow leopard and ibex in Southern Siberia. In J.Fox, & D.Jizeng (Eds.), (pp. 17–27). Seattle/USA: Islt.
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Koshkarev, E. (1997). Has the Snow Leopard Disappeared from Eastern Sayan and Western Hovsogol? In R.Jackson, & A.Ahmad (Eds.), (pp. 96–107). Lahore, Pakistan: Islt.
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Koju, N. P., Gosai, K. R., Bashyal, B., Byanju, R., Shrestha, A., Buzzard, P., Beisch, W. B., Khanal, L. (2023). Seasonal Prey Abundance and Food Plasticity of the Vulnerable Snow Leopard (Panthera uncia) in the Lapchi Valley, Nepal Himalayas. Animals, 13(3182), 1–16.
Abstract: Conservation strategies for apex predators, like the snow leopard (Panthera uncia), depend on a robust understanding of their dietary preferences, prey abundance, and adaptability to changing ecological conditions. To address these critical conservation concerns, this study presents a comprehensive evidence on prey availability and preferences for snow leopards in the Lapchi Valley in the Nepal Himalayas from November 2021 to March 2023. Field data were collected through the installation of twenty-six camera traps at 16 strategically chosen locations, resulting in the recording of 1228 events of 19 mammalian species, including domesticated livestock. Simultaneously, the collection of twenty snow leopard scat samples over 3800 m above sea level allowed for a detailed dietary analysis. Photo capture rate index and biomass composition analysis were carried out and seasonal prey availability and consumption were statistically analyzed. A total of 16 potential prey species for the snow leopard were documented during the study period. Himalayan musk deer (Moschus leucogaster) was the most abundant prey species, but infrequent in the diet suggesting that are not the best bet prey for the snow leopards. Snow leopards were found to exhibit a diverse diet, consuming eleven prey species, with blue sheep (Pseudois nayaur) being their most consumed wild prey and horses as their preferred livestock. The Pianka’s index of dietary niche overlap between the summer and winter seasons were 0.576, suggesting a pronounced seasonal variation in food preference corroborating with the prey availability. The scarcity of larger preys in winter is compensated by small and meso-mammals in the diet, highlighting the snow leopard’s capacity for dietary plasticity in response to the variation in resource availability. This research suggests for the utilization of genetic tools to further explore snow leopard diet composition. Additionally, understanding transboundary movements and conducting population assessments will be imperative for the formulation of effective conservation strategies.
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Kattel, B., & Bajimaya, S. S. (1997). Status and Conservation of Snow Leopard in Nepal. In R.Jackson, & A.Ashiq (Eds.), (pp. 21–27). Lahore, Pakistan: International Snow Leopard Trust.
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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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Johnsingh, A. J. T. (1983). Large Mammalian predator-prey in Bandipur. J.Bombay Nat.Hist.Soc., 80.
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