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Jie, Z., & Zongwei, W. (1963). Qinghai Fauna. Journal of Animal, 15(1), 125–137.
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Jianzhang, M., Hongfei, Z., & Cheng, K. (2002). The Distribution Status of Snow Leopard (Panthera uncia) in China.. Islt: Islt.
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Jiang, Z., Diqiang, & Wang, Z. (2000). Population declines of Przewalski's gazelle around Qinghai Lake, China. Oryx, 34(2), 129–135.
Abstract: Przewalski's gazelle Procapra przewalskii is endemic to China and is classified as Critically Endangered by IUCN-The World Conservation Union. Historically, the species occurred in parts of the provinces of Gansu, Inner Mongolia, Ningxia and Qinghai but now appears to be restricted to three populations around Qinghai Lake. These three populations-Bird Island, Hudong-Ketu and Yuanzhe-have all declined since 1988. The populations have been monitored since 1994 and the smallest, on Bird Island, appears to be on the brink of extinction, with only seven individuals being recorded in 1998. In the same year, the Hudong- Ketu population comprised 56 individuals (29.4 per cent males, 50 per cent females and 21 per cent juveniles) and the Yuanzhe population 51 individuals (29.4 per cent males, 43.1 per cent females and 27.5 per cent juveniles). The causes of the declines vary for each population but include loss of habitat as a result of desertification, poaching and, possibly, wolf predation. Human activity and high juvenile mortality are major threats to the continued survival of the gazelle. Conservation measures proposed are: (i) the establishment of a special reserve for Przewalski's gazelle; (ii) a study of the wolf-gazelle relationship and control of the number of wolves if necessary; (iii) a search for remnant populations of Przewalski's gazelle in other regions in their historical range and the identification of suitable sites for translocation and establishment of new populations.
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Jiang, Z., Xu, A. (2006). Snow Leopard. Chiese Journal of Zoology, , 128.
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Jiang, Z. (2006). Rescue Snow Spirit---Snow Leopard. Zoological Research, , 242.
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Jiang, Z. (2005). Snow leopards in the Dulan International Hunting Ground, Qinghai, China.
Abstract: From March to May, 2006œªwe conducted extensive snow leopard surveys in the Burhanbuda Mountain Kunlun Mountains, Qinghai Province, China. 32 linear transect of 5~15 km each, which running through each vegetation type, were surveyed within the study area. A total of 72 traces of snow leopard were found along 4 transects (12.5% of total transects). The traces included pug marks or footprints, scrapes and urine marks. We estimated the average density of wild ungulates in the region was 2.88ñ0.35 individuals km-2(n=29). We emplaced 16 auto2 trigger cameras in different environments and eight photos of snow leopard were shot by four cameras and the capture rate of snow leopard was 71.4%. The minimum snow leopard population size in the Burhanbuda Mountain was two, because two snow leopards were phototrapped by different cameras at almost same time. Simultaneously, the cameras also shot 63 photos of other wild animals, including five photos are unidentified wild animals, and 20 photos of livestock. We evaluated the human attitudes towards snow leopard by interviewing with 27 Tibetan householders of 30 householders live in the study area. We propose to establish a nature reserve for protecting and managing snow leopards in the region. Snow leopard (Uncia uncia) is considered as a unique species because it lives above the snow line, it is endemic to alpines in Central Asia, inhabiting in 12 countries across Central Asia (Fox, 1992). Snow leopard ranges in alpine areas in Qinghai, Xinjiang, Inner Mongolia, Tibet, Gansu and Sichuan in western China (Liao, 1985, 1986; Zhou, 1987; Ma et al., 2002; Jiang & Xu, 2006). The total population and habitat of snow leopards in China are estimated to be 2,000~2,500 individuals and 1,824,316 km2, only 5% of which is under the protection of nature reserves. The cat's current range is fragmented (Zou & Zheng, 2003). Due to strong human persecutions, populations of snow leopards decreased significantly since the end of the 20th century. Thus, the
snow leopards are under the protection of international and domestic laws. From March to May, 2006, we conducted two field surveys in Zhiyu Village, Dulan County in Burhanbuda Mountain, Kunlun Mountains, China to determine the population, distribution and survival status of snow leopards in the area. The aim of the study was to provide ecologic data for snow leopard conservation.
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Jegal, A., Kashkarov, E., & Matyushkin E.N. (2010). Simple method to distinguish tracks of snow leopard and lynx.
Abstract: In the Mongolian and Gobi Altai mountain ranges and also in some other mountains in this region, the
distribution of the snow leopard and Eurasian lynx overlaps. In some cases, local hunters cannot
distinguish the tracks of both these animals. Therefore we outline a simple method to distinguish tracks of
the snow leopard and lynx.
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Janyspaev A.D. (2002). The area and numbers of Snow Leopard in the central part of Zailiysky Alatau (Vol. N 1-4.).
Abstract: This article summarizes the information about snow leopard and it's preys in Almaty nature reserve and neighboring areas since 1979 year. Some increasing of irbis number is recognized last 20 years.
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Janovsky, M., Grone, A., Ciardo, D., Vollm, J., Burnens, A., Fatzer, R., et al. (2006). Phaeohyphomycosis in a Snow Leopard (Uncia uncia) due to Cladophialophora bantiana (Vol. 134).
Abstract: Phaeohyphomycosis caused by Cladophialophora bantiana was diagnosed in a 5-month-old snow leopard with spastic paralysis of the hind legs and inability to defaecate or urinate. At post-mortem examination, a greenish soft mass resembling an abscess was found on one side of the epidural space at the fourth lumbar vertebral body. Histological examination revealed a purulent meningitis with myelomalacia. Dematiaceous fungal hyphae, present within the inflammatory infiltrate, were identified as C. bantiana by culture and sequence analysis of the 18S ribosomal RNA gene. This neurotropic fungus rarely affects organs other than the brain in human beings and cats, and has been reported only occasionally in Europe. The case described suggests that phaeohyphomycosis due to C. bantiana infection may be recognized more frequently in the future and the possible involvement of organs other than the brain should be borne in mind.
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Janjua, S., Peters, J. L., Weckworth, B., Abbas, F. I., Bahn, Volker, Johansson, O., Rooney, T.P. (2019). Improving our conservation genetic toolkit: ddRAD-seq for SNPs in snow leopards. Conservation Genetic Resource, .
Abstract: Snow leopards (Panthera uncia) are an enigmatic, high-altitude species whose challenging habitat, low population densities
and patchy distribution have presented challenges for scientists studying its biology, population structure, and genetics.
Molecular scatology brings a new hope for conservation efforts by providing valuable insights about snow leopards, including
their distribution, population densities, connectivity, habitat use, and population structure for assigning conservation units.
However, traditional amplification of microsatellites from non-invasive sources of DNA are accompanied by significant
genotyping errors due to low DNA yield and poor quality. These errors can lead to incorrect inferences in the number of
individuals and estimates of genetic diversity. Next generation technologies have revolutionized the depth of information
we can get from a species' genome. Here we used double digest restriction-site associated DNA sequencing (ddRAD-seq),
a well-established technique for studying non-model organisms, to develop a reference sequence library for snow leopards
using blood samples from five Mongolian individuals. Our final data set reveals 4504 loci with a median size range of 221 bp.
We identified 697 SNPs and low nucleotide diversity (0.00032) within these loci. However, the probability that two random
individuals will share identical genotypes is about 10-168. We developed probes for DNA capture using this sequence library
which can now be used for genotyping individuals from scat samples. Genetic data from ddRAD-seq will be invaluable for
conducting population and landscape scale studies that can inform snow leopard conservation strategies.
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