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Schaller, G. B. (1972). On meeting a Snow Leopard. Animal Kingdom, 75(1), 7–13.
Abstract: Discusses snow leopard distribution, ecology and conservation. Describes baiting (with a domestic goat) of a snow leopard and cub in a game reserve in Northern Pakistan. Incudes a description of the Leopard killing a goat, and observations over a week when the leopards were feeding on the goat baits.
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Schaller, G. B. (1976). Mountain mammals in Pakistan. Oryx, 13, 351–356.
Abstract: Four or five snow leopards were present in 300 sq km of Chitral District in 1974. Six snow leopards were shot in vicinity of Chitral Gol in winter of 1971-1972, and at least one the next year. Estimates fewer then 250 snow leopards in Pakistan.
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Scheber. (1975). Snow Leopard in the south part of Gobi-Altai mountain range.
Abstract: Accorfing to the information from Gurvan its rumored that the snow leopards grow in number and many times they attacked the livestock entering into the domestic area causing damage, we investigated theGurvan Tes sumon of Umnogobi aimag and also Noyon sumon todisplay the reserve review and spreading area of snow leopard from 22 of December of 1975 to 10th of January of 1976.
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Taryannikov, V. I. (1986). Distribution, biology and current state of the number of the rare predatory mammals in W. Gissar. The Ecology, Protection, and Acclimatization of Vertebrates in Uzbekistan. Tashkent.
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ud Din, J. (2008). Assessing the Status of Snow Leopard in Torkhow Valley, District Chitral, Pakistan: Final Technical Report.
Abstract: This study was aimed at assessing the status of Snow leopard, its major prey base, and the extent of human-Snow leopard conflict and major threats to the wildlife in north Chitral (Torkhow valley) Pakistan. Snow leopard occurrence was conformed through sign transect surveys i.e. SLIMS. Based on the data collected the number of Snow leopards in this survey block (1022 Kmý) is estimated to be 2-3 animals. Comparing this estimate with the available data from other parts of the district the population of snow leopard in Chitral district was count to be 36 animals. Livestock depredation reports collected from the area reflect the existence of human-snow leopard conflict and 138 cases were recorded affecting 102 families (in a period of eight years, 2001-2008). Ungulates (Himalayan Ibex) rut season surveys were conducted in coordination with NWFP Wildlife department. A total of 429 animals were counted using direct count (point method) surveys. Other snow leopard prey species recorded include marmot, hare, and game birds. Signs of other carnivores i.e. wolf, jackal, and fox were also noticed. Major threats to the survival of wildlife especially snow leopard reckoned include retaliatory killing (Shooting, Poisoning), poaching, loss of natural prey, habitat degradation (over grazing, fodder and fuel wood collection), lack of awareness, and over population. GIS map of the study area was developed highlighting the area searched for Snow leopard and its prey species. Capacity of the Wildlife Department staff was built in conducting SLIMS and ungulate surveys through class room and on field training. Awareness regarding the importance of wildlife conservation was highlighted to the students, teachers and general community through lectures and distribution of resource materials developed by WWF-Pakistan.
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Yang, Q. (1992). Further study on the geographical distribution and conservation of snow leopard in Qinghai, P.R. China.
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Zhenhuang, S. (1964). Economic Fauna of China. China: Academia Sinica Press.
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Zhirnov, L., & Ilyinsky, V. (1986). The Great Gobi National Park – a refuge for rare animals of the Central Asian deserts. Moscow: Centre for International Projects, GKNT.
Abstract: Discusses snow leopard distribution in Great Gobi National Park
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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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