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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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Forrest, J. L., Wikramanayake, E., Shrestha, R., Areendran, G., Gyeltshen, K., Maheshwari, A., Mazumdar, S., Naidoo, R., Thapa, G. J., Thapa, K. (2012). Conservation and climate change: Assessing the vulnerability of snow leopard habitat to treeline shift in the Himalaya. Biological Conservation, 150, 129–135.
Abstract: Climate change is likely to affect the persistence of large, space-requiring species through habitat shifts,
loss, and fragmentation. Anthropogenic land and resource use changes related to climate change can also
impact the survival of wildlife. Thus, climate change has to be integrated into biodiversity conservation
plans. We developed a hybrid approach to climate-adaptive conservation landscape planning for snow
leopards in the Himalayan Mountains. We first mapped current snow leopard habitat using a mechanistic
approach that incorporated field-based data, and then combined it with a climate impact model using a
correlative approach. For the latter, we used statistical methods to test hypotheses about climatic drivers
of treeline in the Himalaya and its potential response to climate change under three IPCC greenhouse gas
emissions scenarios. We then assessed how change in treeline might affect the distribution of snow leopard
habitat. Results indicate that about 30% of snow leopard habitat in the Himalaya may be lost due to a
shifting treeline and consequent shrinking of the alpine zone, mostly along the southern edge of the range
and in river valleys. But, a considerable amount of snow leopard habitat and linkages are likely to remain
resilient to climate change, and these should be secured. This is because, as the area of snow leopard habitat
fragments and shrinks, threats such as livestock grazing, retaliatory killing, and medicinal plant collection
can intensify. We propose this approach for landscape conservation planning for other species
with extensive spatial requirements that can also be umbrella species for overall biodiversity.
2012 Elsevier Ltd. All rights reserved
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Sivolobov, R. (2017). ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR.225–233.
Abstract: After 30 years of searching for the mysterious Beringian snow cat in vast space of Koryakia and Chukotka
one of the five cameras recorded finally this beast at night in September 2014. This is not so much a
sensation as a real scientific discovery, saying that the hearts of the snow leopard population resettlement are
not in 5000 km from the main range boundaries, but much closer. Where? � will show further studies.
In addition to the snow leopard in the North-Eastern Asia, it found two more endangered large
mammal species: the Amur tiger and the relict of the Ice Age � the Irkuyem-bear. Author has given these
animals his life and his article devoted to this topic.
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Jamtsho, Y., Katel, O. (2019). Livestock depredation by snow leopard and Tibetan wolf: Implications for herders� livelihoods in Wangchuck Centennial National Park, Bhutan. Springer Open, (9:1), 1–10.
Abstract: Human-wildlife conflict (HWC) is a serious problem in many parts of the world, and Bhutan�s Wangchuck Centennial
National Park (WCNP) is no exception. Located in the remote alpine areas of the eastern Himalaya, wildlife species
such as snow leopard (SL) and Tibetan wolf (TW) are reported to kill livestock in many parts of the Park. Such
depredation is believed to have affected the livelihoods of high-altitude herding communities, resulting in conflicts
between them. This study provides analysis on the extent of livestock depredation by wildlife predators such as SL
and TW and examines its implications for the livelihoods of herding communities of Choekhortoe and Dhur regions
of WCNP. Using semi-structured questionnaires, all herders (n = 38) in the study area were interviewed. The questions
pertained to livestock population, frequency of depredation and income lost due to depredation in the last five years
from 2012 to 2016. This study recorded 2,815 livestock heads in the study area, with an average herd size of 74.1 stock.
The average herd size holding showed a decreasing trend over the years, and one of the reasons cited by the herders
is depredation by SL and TW and other predators. This loss equated to an average annual financial loss equivalent to
10.2% (US$837) of their total per capita cash income. Such losses have resulted in negative impacts on herders�
livelihood; e.g. six herders (2012-2016) even stopped rearing livestock and resorted to an alternate source of cash
income. The livestock intensification programmes, including pasture improvement through allowing controlled
burning, and financial compensation, may be some potential short-term solutions to reduce conflict between herders
and predators. Issuing permits for cordyceps (Ophiocordyceps sinensis) collection only to the herders and instilling the
sense of stewardship to highland herders may be one of the long-term solutions.
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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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