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Blomqvist, L. (1981). The 1980 annual report of the captive snow leopard (Panthera uncia) population and a review at the breeding results during the 1970's. Helsinki Zoo Annual Report. Helsinki: Helsinki Zoo.
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Blomqvist, L., & Sten, I. (1982). Reproductive biology of the snow leopard, Panthera uncia. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards (pp. 71–79). Helsinki: Helsinki Zoo.
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Blomqvist, L. (1989). Status of the captive snow leopard (Panthera uncia) in 1987.
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Blomqvist, L. (1993). The snow leopard, Panthera uncia, in captivity during the last 30 years (1961-1991). Helsinki: Helsinki Zoo.
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Freeman, H. (1974). A preliminary study of the behaviour of captive snow leopards (Panthera uncia). In International Zoo Yearbook (Vol. 15, pp. 217–222).
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Jackson, R., & Wangchuk, R. (2004). A Community-Based Approach to Mitigating Livestock Depredation by Snow Leopards (Vol. 9).
Abstract: Livestock depredation by the endangered snow leopard (Panthera uncia) _is an increasingly contentious issue in Himalayan villages, especially in or near protected areas. Mass attacks in which as many as 100 sheep and goats are killed in a single incident inevitably result in retaliation by local villagers. This article describes a community-based conservation initiative to address this problem in Hemis National Park, India. Human-wildlife conflict is alleviated by predator-proofing villagers' nighttime livestock pens and by enhancing household incomes in environmentally sensitive and culturally compatible ways. The authors have found that the highly participatory strategy described here (Appreciative Participatory Planning and Action-APPA) leads to a sense of project ownership by local stakeholders, communal empowerment, self-reliance, and willingness to co-exist with
snow leopards. The most significant conservation outcome of this process is the protection from retaliatory poaching of up to five snow leopards for every village's livestock pens that are made predator-proof._
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Knowles, J. (1982). Snow leopards (Panthera uncia) at Marwell Zoological Park. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards, Vol. 3 (Vol. 3, pp. 59–62). Helsinki: Helsinki Zoo.
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Oli, M. (1994). Snow leopards and blue sheep in Nepal: Densities and predator: Prey ratio (Vol. 75).
Abstract: I studied snow leopards (Panthera uncia) and blue sheep (Pseudois nayaur) in Manang District, Annapurna Conservation Area, Nepal, to estimate numbers and analyze predatorprey interactions. Five to seven adult leopards used the 105-km2 study area, a density of 4.8 to 6.7 leopards/100 km2. Density of blue sheep was 6.6-10.2 sheep/km2, and biomass density was 304 kg/km2. Estimated relative biomass consumed by snow leopards suggested that blue sheep were the most important prey; marmots (Marmota himalayana) also contributed significantly to the diet of snow leopards. Snow leopards in Manang were estimated to harvest 9-20% of total biomass and 11-24% of total number of blue sheep annually. Snow leopard :blue sheep ratio was 1 :1 14-1 :159 on a weight basis, which was considered sustainable given the importance of small mammals in the leopard's diet and the absence of other competing predators.
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Peden, W. M., Richard, J. L., Trampel, D. W., & Brannian, R. E. (1985). Mycotic pneumonia and meningoencephalitis due to Aspergillus terreus in a neonatal snow leopard (Panthera uncia) (Vol. 21).
Abstract: On 14 May 1983, two female snow leopard (Panthera uncia) cubs were born in the Kansas City Zoological Gardens to a primiparous female. The female showed little interest in the cubs, one of which had a body temperature of 30 C, so they were removed for hand-rearing. On 15 May, one cub was less active, and did not nurse as well as its littermate.
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Riordan, P. (1998). Unsupervised recognition of individual tigers and snow leopards from their footprints (Vol. 1).
Abstract: This study presents the testing of two unsupervised classification methods for their ability to accurately identify unknown individual tigers, Panthera tigris, and snow leopards, Panthera uncia, from their footprints. A neural-network based method, the Kohonen self-organizing map (SOM), and a Bayesian method, AutoClass, were assessed using hind footprints taken from captive animals under standardized conditions. AutoClass successfully discriminated individuals of both species from their footprints. Classification accuracy was greatest for tigers, with more misclassification of individuals occurring for snow leopards. Examination of variable influence on class formations failed to identify consistently influential measurements for either species. The self-organizing map did not provide accurate classification of individuals for either species. Results were not substantially improved by altering map dimensions nor by using principal components derived from the original data. The interpretation of resulting classifications and the importance of using such techniques in the study of wild animal populations are discussed. The need for further testing in the field is highlighted.
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