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Blomqvist, L. (1995). The snow leopard in captivity in 1992. International Zoo News, 42(3), 152–159.
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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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Blomqvist, L. (2003). The global snow leopard population in captivity 2001 (Vol. 8).
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Blomqvist, L. (2003). Captive status of the snow leopard in Europe 2001 (Vol. 8).
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Nishine, Y. (1998). The captive snow leopard programme (SSCJ) in Japan. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards (Vol. 7, pp. 21–25). Helsinki: Helsinki Zoo.
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Stidworthy, M. F., Lewis, J. C. M., Penderis, J., & Palmer, A. C. (2009). Progressive encephalomyelopathy and cerebellar degeneration in a captive-bred snow leopard (Uncia uncia) (Vol. 162).
Abstract: PROGRESSIVE encephalomyelopathy with cerebellar degeneration has been described in captive cheetahs (Palmer and others 2001) and in young domestic cats (Palmer and Cavanagh 1995). This case report describes the clinical and histopathological findings in a very similar condition affecting a young snow leopard (Uncia uncia) that had been born in a zoological park in eastern England as part of the globally coordinated breeding programme for this critically endangered species.
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Joslin, J. O., Garner, M., Collins, D., Kamaka, E., Sinabaldi, K., Meleo, K., et al. (2000). Viral papilloma and squamous cell carcinomas in snow leopards (Uncia uncia). In 2000 Proceedings AAZV & IAAAM Joint Conference (pp. 155–158). AAZV & IAAAM Joint Conference.
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Blomqvist, L. (1982). The 1981 annual report of the captive snow leopards (Panthera uncia) population. International Pedigree Book of Snow Leopards, 3.
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Blomqvist, L. (1989). Status of the captive snow leopard (Panthera uncia) in 1987.
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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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