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Bannikov A.G. (1973). Snow leopard (irbis). Felis uncia.
Abstract: Irbis is distributed in highlands of Kazakhstan, Kyrgyzstan, Tajikistan, and Altai. It preys mainly on wild sheep and ibex, marmots, pica, snow-cock, rarer other ungulates, rodents and birds. Sometimes it attacks domestic sheep. At the beginning of spring this species is on heat, gestation period being 90 100 days. Female bears two three (to five) cubs. The litter splits in one year. The animal sheds hair twice a year. It has a low population and therefore hunting for snow leopard is prohibited.
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Bannikov A.G. (1971). Genus Panthera.
Abstract: It gives the description of genus Panthera: lion, tiger, leopard, jaguar and snow leopard. The mountains of Central Asia and South Siberia limit the habitat of snow leopard in the USSR. This species is also distributed in the Himalayas, Tibet, and mountains of Mongolia. In summer, it lives at 3,660 3,970 m above sea level, while in winter, following the ungulates; snow leopard descends to 1,800 m. In the Himalayas, it ascends up to 5,500 m above sea level in summer. In Djungar and Talas Ala-Tau, snow leopard keeps at 600 1,200 m. It takes refuge in caves and cracks of rocks. Snow leopard is mostly active in twilights and night, rarer in daylight, and preys on ungulates, hares, marmots, and others. The coupling period is winter or early spring. A gestation is about 90 days. It has 3 5 cubs in a litter.
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Bajimaya, S. (2001). Snow leopard manual: field study techniques for the kingdom of Nepal. Kathmandu, Nepal: WWF Nepal Program.
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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.
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Bagchi, S., Mishra, C., & Bhatnagar, Y. (2004). Conflicts between traditional pastoralism and conservation of Himalayan ibex (Capra sibirica) in the Trans-Himalayan mountains. Animal Conservation, 7, 121–128.
Abstract: There is recent evidence to suggest that domestic livestock deplete the density and diversity of wild herbivores in the cold deserts of the Trans-Himalaya by imposing resource limitations. To ascertain the degree and nature of threats faced by Himalayan ibex (Capra sibirica) from seven livestock species, we studied their resource use patterns over space, habitat and food dimensions in the pastures of Pin Valley National Park in the Spiti region of the Indian Himalaya. Species diet profiles were obtained by direct observations. We assessed the similarity in habitat use and diets of ibex and livestock using Non-Metric Multidimensional Scaling. We estimated the influence of the spatial distribution of livestock on habitat and diet choice of ibex by examining their co-occurrence patterns in cells overlaid on the pastures. The observed co-occurrence of ibex and livestock in cells was compared with null-models generated through Monte Carlo simulations. The results suggest that goats and sheep impose resource limitations on ibex and exclude them from certain pastures. In the remaining suitable habitat, ibex share forage with horses. Ibex remained relatively unaffected by other livestock such as yaks, donkeys and cattle. However, most livestock removed large amounts of forage from the pastures (nearly 250 kg of dry matter/day by certain species), thereby reducing forage availability for ibex. Pertinent conservation issues are discussed in the light of multiple-use of parks and current socio-economic transitions in the region, which call for integrating social and ecological feedback into management planning.
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Bagchi, S., Mishra, C., Bhatnagar, Y.V., McCarthy, T. (2002). Out of Steppe? Pastoralism and ibex conservation in Spiti..
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Bacha, M. S. (1990). Snow leopard recovery program for Kishtwar High Altitude National Park Jammu and Kashmir State 1986-7 to 1989-90. Srinagar, Kashmir.
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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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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.
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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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