Gvozdev E.V. (1989). Dzhungarsky nature reserve.
Abstract: Fauna of the mammals in Dzungarian Ala Tau included 54 species, from them in IUCN Red book, the Red Data book of USSR and Kazakh Red Data Book listed snow leopard, dhole, brown bear, Central Asian otter, Turkestan lynx, manul, argali, marbled polecat and stone marten. Institute of geography of Kazakhstan offers the project on creation of protected territory on Dzungarian Ala Tau for biodiversity conservation and increase in number of rare and disappearing species.
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Gvozdev, E. V., & Aliev, S. J. (1978). Red Data Book of Kazakh SSR. Alma-Ata: Kainar Publishing House.
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Habibi, K. (1977). The Mammals of Afghanistan: Their Distribution and Status.
Abstract: Notes personal sighting and several reports of other recent sightings of snow leopard in Afganastan. Some comments on its distribution in the country
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Habibi, K. (2004). Mammals of Afghanistan.
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Hacker, C., Atzeni, L., Munkhtsog, B., Munkhtsog, B., Galsandorj, N., Zhang, Y., Liu, Y., Buyanaa, C., Bayandonoi, G., Ochirjav, M., Farrington, J. D., Jevit, M., Zhang, Y., Wu, L. Cong, W., Li, D., Gavette, C., Jackson, R., Janecka, J. E. (2022). Genetic diversity and spatial structures of snow leopards (Panthera uncia) reveal proxies of connectivity across Mongolia and northwestern China. Landscape Ecology, , 1–19.
Abstract: Understanding landscape connectivity and population genetic parameters is imperative for threatened species management. However, such information is lacking for the snow leopard (Panthera uncia). This study sought to explore hierarchical snow leopard gene flow patterns and drivers of genetic structure in Mongolia and China. A total of 97 individuals from across Mongolia and from the north-eastern edge of the Qinghai-Tibetan Plateau in Gansu Province to the middle of Qinghai Province in China were genotyped across 24 microsatellite loci. Distance-based frameworks were used to determine a landscape scenario best explaining observed genetic structure. Spatial and non-spatial methods were used to investigate fine-scale autocorrelation and similarity patterns as well as genetic structure and admixture. A genetic macro-division between populations in China and Mongolia was observed, suggesting that the Gobi Desert is a substantial barrier to gene flow. However, admixture and support for a resistance-based mode of isolation suggests connective routes that could facilitate movement. Populations in Mongolia had greater connectivity, indicative of more continuous habitat. Drivers of genetic structure in China were difficult to discern, and fine-scale sampling is needed. This study elucidates snow leopard landscape connectivity and helps to prioritize conservation areas. Although contact zones may have existed and occasional crossings can occur, establishing corridors to connect these areas should not be a priority. Focus should be placed on maintaining the relatively high connectivity for snow leopard populations within Mongolia and increasing research efforts in China.
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Halemba, A., & Donahoe, B. (2009). Local perspectives on hunting and poaching: Research report for WWF Russia Altai-Saian Ecoregion. WWF Report, , 1–34.
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Hall, P. M., Cox, J.H. (1978). Additional range inhabted by bharal (Pseudois nayaur) and snow leopard (Panthera uncia) in Nepal.
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Hameed, S. (2010). Population status of the snow leopard and its conflict with local people in laspur valley, Chitral, Pakistan. Master's thesis, , Pakistan.
Abstract: The present study was designed to determine the status of snow leopard in Laspur valley, Chitral (Khyber Pakhtunkhawa) by using multiple census methods.
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Hameed, S., Din, J. U., Ali, H., Kabir, M., Younas, M., Rehman,
E. U., Bari, F., Hao, W., Bischof, R., Nawaz, M. A. (2020). Identifying priority landscapes for conservation of snow
leopards in Pakistan. Plos One, , 1–20.
Abstract: Pakistan’s total estimated snow leopard habitat is about
80,000 km2 of which about half is considered prime habitat. However,
this preliminary demarcation was not always in close agreement with the
actual distribution the discrepancy may be huge at the local and
regional level. Recent technological developments like camera trapping
and molecular genetics allow for collecting reliable presence records
that could be used to construct realistic species distribution based on
empirical data and advanced mathematical approaches like MaxEnt. The
current study followed this approach to construct an accurate
distribution of the species in Pakistan. Moreover, movement corridors,
among different landscapes, were also identified through circuit theory.
The probability of habitat suitability, generated from 98 presence
points and 11 environmental variables, scored the snow leopard’s assumed
range in Pakistan, from 0 to 0.97. A large portion of the known range
represented low-quality habitat, including areas in lower Chitral, Swat,
Astore, and Kashmir. Conversely, Khunjerab, Misgar, Chapursan, Qurumber,
Broghil, and Central Karakoram represented high-quality habitats.
Variables with higher contributions in the MaxEnt model were
precipitation during the driest month (34%), annual mean temperature
(19.5%), mean diurnal range of temperature (9.8%), annual precipitation
(9.4%), and river density (9.2). The model was validated through
receiver operating characteristic (ROC) plots and defined thresholds.
The average test AUC in Maxent for the replicate runs was 0.933 while
the value of AUC by ROC curve calculated at 0.15 threshold was 1.00.
These validation tests suggested a good model fit and strong predictive
power. The connectivity analysis revealed that the population in the
Hindukush landscape appears to be more connected with the population in
Afghani- stan as compared to other populations in Pakistan. Similarly,
the Pamir-Karakoram population is better connected with China and
Tajikistan, while the Himalayan population was connected with the
population in India. Based on our findings we propose three model
landscapes to be considered under the Global Snow Leopard Ecosystem
Protection Program (GSLEP) agenda as regional priority areas, to
safeguard the future of the snow leopard in Pakistan and the region.
These landscapes fall within mountain ranges of the Himalaya, Hindu Kush
and Karakoram-Pamir, respectively. We also identified gaps in the
existing protected areas network and suggest new protected areas in
Chitral and Gilgit-Baltistan to protect critical habitats of snow
leopard in Pakistan.
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Han, X. M., D. G., Zhang, E., Jones, M., and Jin, T.. (2001). Far eastern leopard and Siberian tiger conservation measures. (pp. 102–103). Harbin: Widlife Conservation Society.
Abstract: Workshop to develop a recovery plan for the wild north China tiger population. October 20th to 23th, 2000, Harbin.
Like the Siberian Tiger, the Far Eastern Leopard is one of China's largest Felidae and lives mainly in the eastern mountains of Jilin Province. The number of leopards is very low and it is even more endangered than the tiger. There is a very close relationship between leopard and tiger conservation, especially in areas where overlap occurs. In these areas, special emphasis has to be placed on each of the species' specific conservation needs. There is urgent need to step up our efforts to study and monitor leopard populations and to develop a conservation strategy. This document contains information of the status and main threats of the Far Eastern leopard and makes recommendations on needed conservation measures.
Keywords: CCT, conservation, conservation needs, conservation strategy, distribution, Jilin Province, leopard, monitoring, Panthera pardus, Panthera tigris, poaching, recovery, Recovery plan, snow
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