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Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. (2021). Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. Conservation Genetics, .
Abstract: The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed.
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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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Zhiryakov V.A. (2002). Ecology and behavior of the Snow leopard in Kazakhstan (Vol. N 1-4.).
Abstract: The data on spreading, numbers and population density of snow leopard in Kazakhstan are given in this article. The total number of the snow leopard in Kazakhstan is evaluated in 100-110 individuals. The everywhere occurred numbers' reduction under the influence of the anthropogenic factors is observed. The snow leopard' inhabitation area varies from 20 to 120 square kilometers depending on its regions. Sex and composition of the population and its aggregative behavior are given. The dynamics of numbers and mortality are estimated.
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Zhirnov L.V. (1975). Extinct mammals of the USSR fauna and their distribution over natural zones.
Abstract: 18 taxons of rare and endangered mammals of the USSR are distributed over natural zones such as deserts and semi-deserts including riverine forests and elevations; mountains and highlands; forests and forest-steppe; and offshore strips of closed seas. A majority of endangered species is associated with deserts and mountains of Central Asia and Kazakhstan.
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Zakirov A. (1982). Rare and endangered predatory species in Uzbekistan.
Abstract: There are 20 predatory mammal species in Uzbekistan. Tien Shan brown bear, marbled polecat, lynx, and snow leopard are very rare species, while honey badger, manul and leopard are close to dying-away.
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Yudin Yu. (1983). A review of history of creation of the Red Book.
Abstract: A review of history of creation of the Red Book, International Red List, and Red Data Book of the USSR, Red Data Books of Soviet Republics is made. Snow leopard (with a total population of 10 animals) is included in the Red Data Book of the Uzbek SSR as an endangered species. The author gives the examples of careless attitude to plants and animas resulting in decrease of their populations or even extermination.
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Yanushevich A.I. (1969). Status of hunting industry in Kyrgyzstan (Vol. Part. II.).
Abstract: In Kyrgyz SSR, there are 26 fur animal species, including three acclimatized, six wild ungulate and 70 bird species. They all can serve as objects of commercial and sport hunting. 56 snow leopards, 120 wild boars, 96 roe-deers, 121 ibexes, and 14 argalis were caught 1962 1967. A majority of the animals were exported from the country. The Kyrgyz SSR is one of the main suppliers of snow leopards, hunting for which for the sake of its fur-skin is prohibited.
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Wharton, D., & Freeman, H. (1988). The Snow Leopard in North America: Captive Breeding Under the Species Survival PLan. In H.Freeman (Ed.), (pp. 131–136). India: International Snow Leoaprd Trust and WIldlife Institute of India.
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Voronov A.G. (1985). Predatory mammals.
Abstract: Predatory mammal in mountains are submitted by widely widespread species, such, as wolves, to a lynx and bears, and characteristic species for the high mountains, well adapted to mountain conditions and not going down below Alpine zone (a snow leopard, or irbis, occupying mountains of the Central Asia, etc.).
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Vereschagin N.K., S. T. B. (1976). Rare mammals in the USSR: protection challenges.
Abstract: A group of rare and endangered species was segregated within the game and non-game mammals of the USSR. Some species in the group were formerly referred to game species. But due to over-hunting and the absence of measures aimed at their reproduction the population dropped sharply. Mammal fauna of the USSR includes more than 80 species that require special protection. The Red list of IUCN includes, among the others, white bear, Transcaucasian sub-species of brown bear, Amur and Turan tigers, snow leopard, Caucasian and Amur leopards, caracal, cheetah, Tien-Shan and Ussuri sub-species of dhole, Atlantic walrus, island seal, kulan, Bukhara red deer, New Land reindeer, goitered gazelle, Menzbier's marmot.
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