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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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Ming, M., Xu, F. (2006). Successful Camera Trapping on Snow Leopard in Muzat Valley, Tomur Feng Nature Reserve, Xinjiang, P. R. China. Arid Land Geography, , 307–308.
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Waits, L. P., Buckley-Beason, V. A., Johnson, W. E., Onorato, D., & McCarthy, T. (2006). A select panel of polymorphic microsatellite loci for individual identification of snow leopards (Panthera uncia)
(Vol. 7).
Abstract: Snow leopards (Panthera uncia) are elusive endangered carnivores found in remote mountain regions of Central Asia. New methods for identifying and counting snow leopards are needed for conservation and management efforts. To develop molecular genetic tools for individual identification of hair and faecal samples, we screened 50 microsatellite loci developed for the domestic cat (Felis catus) in 19 captive snow leopards. Forty-eight loci were polymorphic with numbers of alleles per locus ranging from two to 11. The probability of observing matching genotypes for unrelated individuals (2.1 x10-11) and siblings (7.5x10-5) using the 10 most polymorphic loci was low, suggesting that this panel would easily discriminate among individuals in the wild.
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Xu, F., Ming, M., Yin, S. -jing, Chundawat R.S., Marden, & Nui, Y. (2006). Preliminary Study on the Habitat Selection of Uncia uncia (Vol. 23).
Abstract: Uncia uncia is one of the rare large species on the brink of extinction in Felidae in the world, and inhabit only the Central Asian mountains. It is said that there are currently only 4500-7300 Uncia uncia surviving. During the period from September 2004 to July 2005, the habitat selection of Uncia uncia was investigated in some mountains in Xinjiang, including the eastern Tianshan Mountains, Beita Mountains, Altay Mounts and Mount Tumor National Nature Reserve. In several months of fieldwork, we got 171 sign samples of Uncia uncia and 123 random samples in total. Five habitat features, i.e., the elevation, topographic features, vegetation type, grazing status and ruggedness, are selected to compare the difference of selectivity of the Uncia uncia habitat selection. The Chi-square goodness-of-fit test and the binomial test are used to check the significance of Uncia uncia habitat selection, and the principal component analysis is used to find the primary factors in in the selection. The result s are as follows : (1) Uncia uncia selected all kinds of the habitat types , especially the elevation , topography , vegetation types and ruggedness ; (2) Ruggedness and the vegetation types are the preliminary factors for the habitat selection. Topography is the secondary factor ; (3) Uncia uncia prefer to inhabit in the rugged habitat s with moderate shrubberies , and they also like to leave signs in valley bottoms rather than hillsides.
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Shrestha, R., & Wegge, P. (2006). Determining the composition of herbivore diets in the Trans-Himalayan rangelands: A comparison of field methods. Journal of Rangeland Ecology and Management, 59(5), 512–518.
Abstract: In late summer, in a semi-arid mountain range in Nepal, we compared 3 field methods for determining the botanical composition of herbivore diets. Data were collected from the same animals belonging to 1 herd of domestic yak (Bos grunniens) and 2 herds of mixed smallstock, consisting of domestic goats (Capra hircus) and sheep (Ovis aries). Bite count, feeding site examination, and microhistological analysis of feces gave different estimates of forage categories and plant species in both animal groups. Because yaks grazed in other vegetation communities when not observed for bite-counts and feeding signs, the results from the latter methods could not be compared directly with that from fecal analysis. In smallstock, feeding site examination gave higher estimates of graminoids and lower estimates of shrubs than the other 2 methods, probably because all feeding signs on shrubs were not detected. Bite-counts and fecal analysis gave comparable results, except that forbs were underestimated by fecal analysis, presumably due to their more complete digestion. Owing to the difficulty in collecting samples that are representative of the entire grazing period and the problem of recording feeding signs correctly, both feeding site examination and bite-counts are unsuitable methods for studying the food habits of free ranging domestic and wild herbivores. Microhistological analysis of feces appears to be the most appropriate method, but correction factors are needed to adjust for differential digestion. The systematic use of photomicrographs improves the speed and accuracy of the fecal analysis.
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Jackson, R., Roe, J., Wangchuk, R., & Hunter, D. (2006). Estimating Snow Leopard Population Abundance Using Photography and Capture-Recapture Techniques (Vol. 34).
Abstract: Conservation and management of snow leopards (Uncia uncial) has largely relied on anecdotal evidence and presence-absence data due to their cryptic nature and the difficult terrain they inhabit. These methods generally lack the scientific rigor necessary to accurately estimate population size and monitor trends. We evaluated the use of photography in capture-mark-recapture (CMR) techniques for estimating snow leopard population abundance and density within Hemis National Park, Ladakh, India. We placed infrared camera traps along actively used travel paths, scent-sprayed rocks, and scrape sites within 16-30 kmý sampling grids in successive winters during January and March 2003-2004. We used head-on, oblique, and side-view camera configurations to obtain snow leopard photographs at varying body orientations. We calculated snow leopard abundance estimates using the program CAPTURE. We obtained a total of 66 and 49 snow leopard captures resulting in 8.91 and 5.63 individuals per 100 trap nights during 2003 and 2004, respectively. We identified snow leopards based on the distinct pelage patters located primarily on the forelimbs, flanks, and dorsal surface of the tail. Capture probabilities ranged from 0.33 to 0.67. Density estimates ranged from 8.49 (SE+0.22) individuals per 100 kmý in 2003 to 4.45 (SE+0.16) in 2004. We believe the density disparity between years is attributable to different trap density and placement rather than to an actual decline in population size. Our results suggest that photographic capture-mark-recapture sampling may be a useful tool for monitoring demographic patterns. However, we believe a larger sample size would be necessary for generating a statistically robust estimate of population density and abundance based on CMR models.
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Ming, M., Chundawat R.S., Jumabay, K., Wu, Y., Aizeizi, Q., & Zhu, M. H. (2006). Camera trapping of snow leopards for the photo capture rate and population size in the Muzat Valley of Tianshan Mountains. Acta Theriologica Sinica, 52(4), 788–793.
Abstract: The main purpose of this work was to study the use of infrared trapping cameras to estimate snow leopard Uncia uncia population size in a specific study area. This is the first time a study of this nature has taken place in China. During 71 days of field work, a total of 36 cameras were set up in five different small vales of the Muzat Valley adjacent to the Tomur Nature Reserve in Xinjiang Province, E80ø35' – 81ø00' and N42ø00' – 42ø10', elevation 2'300 – 3'000 m, from 18th October to 27th December 2005. We expended approximately 2094 trap days and nights total (c. 50'256 hours). At least 32 pictures of snow leopards, 22 pictures of other wild species (e.g. chukor, wild pig, ibex, red fox, cape hare) and 72 pictures of livestock were taken by the passive Cam Trakker (CT) train monitor in about 16 points of the Muzat Valley. The movement distance of snow leopard was 3-10 km/day. And the capture rate or photographic rate of snow leopard was 1.53%. Meanwhile, 20 transects were run and 31 feces sample were collected. According to 32 photos, photographic rate and sign survey after snowing on the spot, were about 5-8 individuals of snow leopards in the research area, and the minimum density of snow leopard in Muzat Valley was 2.0 – 3.2 individuals/100 km2. We observed the behavior of ibex for 77.3 hours, and found about 20 groups and a total of approximately 264 ibexes in the research area.
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