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Qiseng, Y. (1994). Further Study on the Geographical Distribution and Conservation of Snow Leopard in Qinghai, China. In J.L.Fox, & D.Jizeng (Eds.), (pp. 73–78). Usa: Islt.
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Jackson, R., Hunter, D., & Emmerich, C. (1997). SLIMS: An Information Management System for Promoting the Conservation of Snow Leopards and Biodiversity in the Mountains of Central Asia. In R.Jackson, & A.Ahmad (Eds.), (pp. 75–91). Lahore, Pakistan: Islt.
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Ale, S. B., Yonzon, P., & Thapa, K. (2007). Recovery of snow leopard Uncia uncia in Sagarmatha (Mount Everest) National Park, Nepal (Vol. 41).
Abstract: From September to November 2004 we conducted surveys of snow leopard Uncia uncia signs in three major valleys in Sagarmatha (Mount Everest) National Park in Nepal using the Snow Leopard Information Management System, a standardized survey technique for snow leopard research. We walked 24 transects covering c. 14 km and located 33 sites with 56 snow leopard signs, and 17 signs incidentally in other areas. Snow leopards appear to have re-inhabited the Park, following their disappearance c. 40 years ago, apparently following the recovery of Himalayan tahr Hemitragus jemlahicus and musk deer Moschus chrysogaster populations. Taken together the locations of all 73 recent snow leopard signs indicate that the species is using predominantly grazing land and shrubland/ open forest at elevations of 3,000-5,000 m, habitat types that are also used by domestic and wild ungulates. Sagarmatha is the homeland of c. 3,500 Buddhist Sherpas with .3,000 livestock. Along with tourism and associated developments in Sagarmatha, traditional land use practices could be used to ensure coexistence of livestock and wildlife, including the recovering snow leopards, and ensure the wellbeing of the Sherpas.
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Ahmad, I., Hunter, D. O., & Jackson, R. (1997). A Snow Leopard and Prey Species Survey in Khunjerab National Park, Pakistan. In R.Jackson, & A.Ahmad (Eds.), (pp. 92–95). Lahore, Pakistan: Islt.
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Jackson, R., & Fox, J. L. (1997). Snow Leopard Conservation: Accomplishments and Research Priorities. In R.Jackson, & A.Ahmad (Eds.), (pp. 128–144). Pakistan: Islt.
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Ferguson, D. A. (1997). International Cooperation for Snow Leopard and Biodiversity Conservation: The Government Perspective. In R.Jackson, & A.Ahmad (Eds.), (pp. 178–193). Lahore, Pakistan: Islt.
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Xu, F., Ming, M., Yin, S. -jing, & Munkhtsog, B. (2006). Autumn Habitat Selection by Snow Leopard (Uncia uncia) in Beita Mountain, Xinjiang, China.
Abstract: Habitat selection of Snow Leopard ( Unica unica) in Beita Mountain of the Altay Mountain system in northeast Xinjiang was conducted from September to October 2004. Six habitat features of 59 sites used by Snow Leopard and 30 random plots were measured by locating 15 transects surveys in the study area . Vanderploge and Scaviaps selectivity index was used to assess Snow Leopardps selection for the different habitat parameters. Principal Component Analysis was used as the primary factor . The results indicated that Snow Leopard preferred the altitude between 2000 – 2 200 m and avoided 2 600 – 3 000 m ; selected cliff base , ridgeline and avoided hillside and valley bottom ; utilized the shrub and rejected the forest ; selected the nongrazing area and avoided the slightly broken region ; preferred north orientation and rejected the south orientation. The results show that grazing status , vegetation type , topography and the ruggedness are the primary factors for the habitat selection of Snow Leopard.
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Ming, M., Baowen, H., Yu, M., & McCarthy, T. (2010). Survey on Bird Species and Analysis on Bird Diversity in the Central Kunlun Mountains in the Early Winter. Arid Zone Research, 27(2), 227–232.
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Hunter, D. O., Jackson, R., Freeman, H., & Hillard, D. (1994). Project snow leopard: a model for conserving central Asia biodiversity. In J.Fox, & D.Jizeng (Eds.), (pp. 247–252). Usa: International Snow Leopard Trust.
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Kanderian, N., Lawson, D., Zahler, P. (2011). Current status of wildlife and conservation in Afghanistan. International Journal of Environmental Studies, 68(3), 281–298.
Abstract: Afghanistan’s position in latitude, geography and at the intersection of three biogeographic realms has resulted in a surprising biodiversity. Its wildlife includes species such as the snow leopard, Asiatic black bear, Marco Polo sheep, markhor and greater flamingo. Principal threats include high levels of deforestation, land encroachment and hunting for food and trade. Continuing security issues have also made it difficult to monitor species abundance and population trends. Over the last decade, however, survey efforts have provided the first collection of species and habitat data since the late 1970s. Initial findings are enabling the Government and rural communities to begin implementing important conservation measures. This process has included policy development and protected area planning, promoting alternative livelihoods and responsible community management, and continuing research into the status of biodiversity in the field.
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Slifka, K., Stacewicz-Sapuntzakis, S. M., Bowen, P., & Crissey, S. (1999). A Survey of Serum and Dietary Carotenoids in Captive Wild Animals. The Journal of Nutrition, 129, 380–390.
Abstract: Accumulation of carotenoids varies greatly among animal species and is not fully characterized.
Circulating carotenoid concentration data in captive wild animals are limited and may be useful for their management.
Serum carotenoid concentrations and dietary intakes were surveyed and the extent of accumulation
categorized for 76 species of captive wild animals at Brookfield Zoo. Blood samples were obtained opportunistically
from 275 individual animals immobilized for a variety of reasons; serum was analyzed for a- and b-carotene,
lutein 1 zeaxanthin, lycopene, b-cryptoxanthin and canthaxanthin. Total carotenoid content of diets was calculated
from tables and chemical analyses of commonly consumed dietary components. Diets were categorized as
low, moderate or high in carotenoid content as were total serum carotenoid concentrations. Animals were
classified as unknown, high, moderate or low (non-) accumulators of dietary cartenoids. Nonaccumulators had total
serum carotenoid concentrations of 0-101 nmol/L, whereas accumulators had concentrations that ranged widely,
from 225 to 35,351 nmol/L. Primates were uniquely distinguished by the widest range of type and concentration
of carotenoids in their sera. Most were classified as high to moderate accumulators. Felids had high accumulation
of b-carotene regardless of dietary intake, whereas a wide range of exotic birds accumulated only the xanthophylls,
lutein 1 zeaxanthin, canthaxanthin or cryptoxanthin. The exotic ungulates, with the exception of the bovids, had
negligible or nondetectable carotenoid serum concentrations despite moderate intakes. Bovids accumulated only
b-carotene despite moderately high lutein 1 zeaxanthin intakes. Wild captive species demonstrated a wide variety
of carotenoid accumulation patterns, which could be exploited to answer remaining questions concerning carotenoid
metabolism and function.
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Janecka, J.E., Jackson, R., Yuquang, Z., Diqiang, L., Munkhtsog, B., et al. (2008). Population monitoring of snow leopards using noninvasive collection of scat samples: a pilot study (Vol. 11).
Abstract: The endangered snow leopard Panthera uncia occurs in rugged, high-altitude regions of Central Asia. However, information on the status of this felid is limited in many areas. We conducted a pilot study to optimize molecular markers for the analysis of snow leopard scat samples and to examine the feasibility of using noninvasive genetic methods for monitoring this felid. We designed snow leopard-specific primers for seven microsatellite loci that amplified shorter segments and avoided flanking sequences shared with repetitive elements. By redesigning primers we maximized genotyping success and minimized genotyping errors. In addition, we tested a Y chromosome-marker for sex identification and designed a panel of mitochondrial DNA primers for examining genetic diversity of snow leopards using scat samples. We collected scats believed to be from snow leopards in three separate geographic regions including north-western India, central China and southern Mongolia. We observed snow leopard scats in all three sites despite only brief 2-day surveys in each area. There was a high rate of species misidentification in the field with up to 54% of snow leopard scats misidentified as red fox. The high rate of field misidentification suggests sign surveys incorporating scat likely overestimate snow leopard abundance. The highest ratio of snow leopard scats was observed in Ladakh (India) and South Gobi (Mongolia), where four and five snow leopards were detected, respectively. Our findings describe a species-specific molecular panel for analysis of snow leopard scats, and highlight the efficacy of noninvasive genetic surveys for monitoring snow leopards. These methods enable large-scale noninvasive studies that will provide information critical for conservation of snow leopards.
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Xu, F., Ming, M., Yin, S. -jing, & Mardan. (2005). Snow Leopard Survey in Tumor Nature Reserve, Xingjiang (Vol. 24).
Abstract: Snow leopard survey was conducted in Oct-Nov 2004 at Tumor National Natural Reserve, Xinjiang, China. Because of its special living style, the snow leopard is difficult to observe by sight. Signs left by snow leopard become a good index to prove the existance of the big cat. There are mainly five kinds of signs, footprints, fectes, claw rakes and urine spray. From them we can know the distribution, probably population and habitat selection of snow leopard. This time in Tumor we investigated 5 difference places: Pochenzi in Mozat River area, Boxidun in Little Kuzbay River area, Yinyer in Tomur River area, Kurgan and Taglak in Quiong Tailan River area. 42 transects were run in this trip and a total of 57 signs found. Among them, footprints amounted to 71.9%, scrapes 21.1%, and feces 7.0%. The results showed that the big cat existed in Yinyer, Kurgan and Taglak areas and liked to select their habitat in the valley and didn't like to live in barren areas.
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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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McCarthy, K., Fuller, T., Ming, M., McCarthy, T., Waits, L., & Jumabaev, K. (2008). Assessing Estimators of Snow Leopard Abundance (Vol. 72).
Abstract: The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used
counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates
(photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation.
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Ale, S., Shrestha, B., and Jackson, R. (2014). On the status of Snow Leopard Panthera Uncia (Schreber 1775) in Annapurna, Nepal. Journal of Threatened Taxa, (6(3)), 5534–5543.
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