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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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Sivolobov, R. (2017). ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR.225–233.
Abstract: After 30 years of searching for the mysterious Beringian snow cat in vast space of Koryakia and Chukotka
one of the five cameras recorded finally this beast at night in September 2014. This is not so much a
sensation as a real scientific discovery, saying that the hearts of the snow leopard population resettlement are
not in 5000 km from the main range boundaries, but much closer. Where? � will show further studies.
In addition to the snow leopard in the North-Eastern Asia, it found two more endangered large
mammal species: the Amur tiger and the relict of the Ice Age � the Irkuyem-bear. Author has given these
animals his life and his article devoted to this topic.
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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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Singh, J. (2002). Transboundary Stakeholders: Developing Cross-Border Conservation On Linkages for the Snow Leopard (Discussion Paper).. Islt: Islt.
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Simon, N., Geroudet, P. (1970). Last Survivores: The Natural History of Animals in Danger of Extinction. (pp. 127–131). New York: The World Publishing Company.
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Simms, A., Moheb, Z., Salahudin, Ali, H., Ali, I. & Wood, T. (2011). Saving threatened species in Afghanistan: snow leopards in the Wakhan Corridor. International Journal of Environmental Studies, 68(3), 299–312.
Abstract: The Wakhan Corridor in northeast Afghanistan is an area known for relatively abundant wildlife and it appears to represent Afghanistan’s most important snow leopard landscape. The Wildlife Conservation Society (WCS) has been working in Wakhan since 2006. Recent camera trap surveys have documented the presence of snow leopards at 16 different locations in the landscape. These are the first camera trap records of snow leopards in Afghanistan. Threats to snow leopards in the region include the fur trade, retaliatory killing by shepherds and the capture of live animals for pets. WCS is developing an integrated management approach for this species, involving local governance, protection by a cadre of rangers, education, construction of predator-proof livestock corrals, a livestock insurance program, tourism and research activities. This management approach is expected to contribute significantly to the conservation of snow leopards and other wildlife species in the Wakhan.
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Shukurov E.J. (2004). List of of species included in Red data Book of Republic of Kyrgyzstan.
Abstract: It gives List of species included in Red data Book of Republic of Kyrgyzstan (1984). Totally 13 mammals including snow leopard listed in Kyrgyz Red data book.
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Shrestha, B. (2008). Prey Abundance and Prey Selection by Snow Leopard (uncia uncia) in the Sagarmatha (Mt. Everest) National Park, Nepal.
Abstract: Predators have significant ecological impacts on the region's prey-predator dynamic and community structure through their numbers and prey selection. During April-December 2007, I conducted a research in Sagarmatha (Mt. Everest) National Park (SNP) to: i) explore population status and density of wild prey species; Himalayan tahr, musk deer and game birds, ii) investigate diet of the snow leopard and to estimate prey selection by snow leopard, iii) identify the pattern of livestock depredation by snow leopard, its mitigation, and raise awareness through outreach program, and identify the challenge and opportunities on conservation snow leopard and its co-existence with wild ungulates and the human using the areas of the SNP. Methodology of my research included vantage points and regular monitoring from trails for Himalayan tahr, fixed line transect with belt drive method for musk deer and game birds, and microscopic hair identification in snow leopard's scat to investigate diet of snow leopard and to estimate prey selection. Based on available evidence and witness accounts of snow leopard attack on livestock, the patterns of livestock depredation were assessed. I obtained 201 sighting of Himalayan tahr (1760 individuals) and estimated 293 populations in post-parturient period (April-June), 394 in birth period (July -October) and 195 November- December) in rutting period. In average, ratio of male to females was ranged from 0.34 to 0.79 and ratio of kid to female was 0.21-0.35, and yearling to kid was 0.21- 0.47. The encounter rate for musk deer was 1.06 and density was 17.28/km2. For Himalayan monal, the encounter rate was 2.14 and density was 35.66/km2. I obtained 12 sighting of snow cock comprising 69 individual in Gokyo. The ratio of male to female was 1.18 and young to female was 2.18. Twelve species (8 species of wild and 4 species of domestic livestock) were identified in the 120 snow leopard scats examined. In average, snow leopard predated most frequently on Himalayan tahr and it was detected in 26.5% relative frequency of occurrence while occurred in 36.66% of all scats, then it was followed by musk deer (19.87%), yak (12.65%), cow (12.04%), dog (10.24%), unidentified mammal (3.61%), woolly hare (3.01%), rat sp. (2.4%), unidentified bird sp. (1.8%), pika (1.2%), and shrew (0.6%) (Table 5.8 ). Wild species were present in 58.99% of scats whereas domestic livestock with dog were present in 40.95% of scats. Snow leopard predated most frequently on wildlife species in three seasons; spring (61.62%), autumn (61.11%) and winter (65.51%), and most frequently on domestic species including dog in summer season (54.54%). In term of relative biomass consumed, in average, Himalayan tahr was the most important prey species contributed 26.27% of the biomass consumed. This was followed by yak (22.13%), cow (21.06%), musk deer (11.32%), horse (10.53%), wooly hare (1.09%), rat (0.29%), pika (0.14%) and shrew (0.07%). In average, domestic livestock including dog were contributed more biomass in the diet of snow leopard comprising 60.8% of the biomass consumed whilst the wild life species comprising 39.19%. The annual prey consumption by a snow leopard (based on 2 kg/day) was estimated to be three Himalayan tahr, seven musk deer, five wooly hare, four rat sp., two pika, one shrew and four livestock. In the present study, the highest frequency of attack was found during April to June and lowest to July to November. The day of rainy and cloudy was the more vulnerable to livestock depredation. Snow leopard attacks occurred were the highest at near escape cover such as shrub land and cliff. Both predation pressure on tahr and that on livestock suggest that the development of effective conservation strategies for two threatened species (predator and prey) depends on resolving conflicts between people and predators. Recently, direct control of free – ranging livestock, good husbandry and compensation to shepherds may reduce snow leopard – human conflict. In long term solution, the reintroduction of blue sheep at the higher altitudes could also “buffer” predation on livestock.
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Shnitnikov V.N. (1934). Rocks and taluses. Alpine meadows. Economic value of local animals (Vol. Part. 1. South Kazakhstan.).
Abstract: It reviews fauna of rocks, taluses, and alpine meadows of South Kazakhstan. The most typical mammal of rocks and taluses are picas (I¤hotona rutila and I. macrotis), ibex (¥…dr… sibirica), and snow leopard (Felis irbis). Besides, snow leopard, along with Tien Shan bear (Ursus l†u¤Œn¢o), ibex, mountain wolf (¥uŒn alpinus) and others, is met in the alpine meadow zone. Zoo-export of snow leopards to the zoos does not result in extermination of the animals but generates income. Various animal species are subject to trade as zoos do not limit their collections with some specific species or groups; quite the contrary they are interested in obtaining each species. Valuable animals exported from Kazakhstan are tiger, snow leopard, Tien-Shan bear, argali, and mountain wolf. The latter costs 1,000 roubles in gold, and argali even 1,500 roubles.
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Shnitnikov V.N. (1936). Rocks and taluses. Snow leopard, Irbis Felis irbis Shreb.
Abstract: In Semerechie, snow leopard is not a rare species. In 1931, 53 snow leopards were hunted in southern Semerechie. In the past, at the markets of Central Tien Shan one could buy skins or live snow leopards, which were in demand abroad. Probably, number of snow leopards in Semerechie has increased. Now, it can be found not only in remote areas but in the vicinity of settlements (snow leopards, for instance, were observed some 20 30 km from Almaty, and 60 km from Frunze). Snow leopard preys mainly on ibex (¥…dr… sibiri¤…), snow-cock (O†traogallus himalauenses), and numerous argali – in some areas. The animal will never attack a man, even if wounded.
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