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Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal,
R. S., Sharma, S., Shekhar, S. (2020). Predicting Habitat Suitability of Snow Leopards in the Western
Himalayan Mountains, India. Biology bulletin, 47(6), 655–664.
Abstract: The population of snow leopard (Panthera uncia) is declining
across their range, due to poaching, habitat fragmentation, retaliatory
killing, and a decrease of wild prey species. Obtaining information on
rare and cryptic predators living in remote and rugged terrain is
important for making conservation and management strategies. We used the
Maximum Entropy (MaxEnt) ecological niche modeling framework to predict
the potential habitat of snow leopards across the western Himalayan
region, India. The model was developed using 34 spatial species
occurrence points in the western Himalaya, and 26 parameters including,
prey species distribution, temperature, precipitation, land use and land
cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen
variables contributed 98.6% towards predicting the distribution of snow
leopards. The area under the curve (AUC) score was high (0.994) for the
training data from our model, which indicates pre- dictive ability of
the model. The model predicted that there was 42432 km2 of potential
habitat for snow leop- ards in the western Himalaya region. Protected
status was available for 11247 km2 (26.5%), but the other 31185 km2
(73.5%) of potential habitat did not have any protected status. Thus,
our approach is useful for predicting the distribution and suitable
habitats and can focus field surveys in selected areas to save
resources, increase survey success, and improve conservation efforts for
snow leopards.
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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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Aizin B.M. (1969). Siberian ibex Capra sibirica Pall.
Abstract: It describes status of ibex in Kyrgyzstan, its distribution, behavioral patterns, enemies and competitors, etc. The enemies of ibex are snow leopard and wolf. All year round snow leopard preys on ibex its main food object and, therefore, should there be ibexes, snow leopards would be somewhere around. In winter, a considerable number of ibex dies from wolves. Sometimes dogs prey on ibex, too. Golden eagles and bearded vultures prey on young ibexes. However, poachers remain the most dangerous enemy.
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Aizin B.M. (1974). Distribution, number and seasonal behavioral patterns of Panthera uncia Scheber in Kyrgyzstan (Vol. Vol. 1.).
Abstract: In Kyrgyzstan, snow leopard can be met almost in all mountain ridges (Kok-Kiya, Atbasha, Kyrgyz, Terskey, Kungei, Talas, Chatkal, Alai, Zaalai), where it keeps to alpine meadow, woodless rock and snowfield zones. The number of snow leopard does not exceed 1,500 animals. Seven to 10 animals are annually caught for the needs of zoo-export.
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Aizin B.M. (1979). Rare predatory mammal species and their protection in Kyrgyzstan.
Abstract: Snow leopard is met in all mountain ridges in Kyrgyzstan. Every year 7 10 animals are caught for the purpose of zoo export. Total population of snow leopard in the country does not exceed 1,400 animals.
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Aizin B.M. (1985). Snow leopard.
Abstract: Snow leopard is a rare and endangered species, distributed in all mountain ridges of Kyrgyzstan. Its population is 1,400 animals, density being 0.2 0.5 animal per 1,000 ha. Its population was noticed to decrease in some ridges because of decreasing populations of mountain ungulates. 200 snow leopards were caught for the purpose of zoo-export over the last 20 years. This species is protected in the nature reserves Sary Chelek, Besh Aral, and natural park Ala Archa.
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Allabergenov E. (1991). Predator that will never attack a man (Vol. 1 207 (7. 896)).
Abstract: Irbis is a very endangered species in Uzbekistan. The article provides a brief description of the snow leopard appearance and distribution. Reasons for reduction of snow leopard population is reduction of ungulate populations it preys on ibex and wild sheep and anthropogenic disturbance. Hunting for snow leopard is prohibited everywhere.
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Allayarov A.M. (1963). Materials on geographical distribution of wild cats in Uzbekistan.
Abstract: It describes the distribution and habitats of eight Felidae species in Uzbekistan, such as snow leopard, leopard, lynx, caracal, chaus, manul, sand cat, and steppe cat.
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Ammosov, B. (1973). Central Asia mountains. Snow leopard or irbis.
Abstract: All natural zones are represented in the mountains of Central Asia: deserts, semi-deserts, steppes, meadows, forests and shrubs, sub-alpine zones, alpine zones. Irbis (snow leopard) is a typical inhabitant of highlands. In the USSR, snow leopard is distributed in the mountains of Central Asia and southern Siberia. Outside the country this species is met in the Himalayas, Tibet, mountains of Mongolia. It is rare everywhere. The annual world trade is less than 1,000 animals. Being a non-numerous species, it causes negligible damage to farming and hunting industry.
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Annenkov, B. P. (1990). The Snow Leopard (Uncia uncia) in the Dzungarsky Alatau. (pp. 21–24).
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