Abstract: The Snow leopard (Panthera uncia) is one of the most threatened wild big cats within its range of distribution, however, the question of its systematic status is a matter of debate. Is it a member of genus Panthera, or is it in its own genus (Uncia)? The analysis of genetic difference at the DNA level may provide useful data to clarify the issue. In the present study, ten hexanucleotide-specific restriction endonucleases were used to evaluate the patterns of mitochondrial DNA variation between the Snow leopard and leopard (P. pardus). The molecular size of mtDNA from the two species was about 16.5 kb. Ten enzymes surveyed 32-34 restriction sites, which corresponded to 192 apprx 204 base pairs, or 1.16% apprx 1.24% of the total mtDNA molecule. A total of 45 restriction sites were mapped; of these sites, twenty-four, which correspond to 53.3% of the total sites, were variable. The sequence divergence between them was 0.075 33, which was undoubtedly in the species-level distinction but did not reach the genus level. Therefore, the Snow leopard should be placed in the genus Panthera rather than in its own ganus. It also seems reasonable to recognize Uncia as a valid subgenus. This conclusion not only support but also supplement the viewpoint of Simpson who treated Uncia as a subgenus within Panthera.

Abstract: The elusive snow leopard Panthera unica is a rare and little studied species in China. Over 1 March-15 May 2006 we conducted a survey for the snow leopard in the Gouli Region, East Burhanbuda Mountain, Kunlun Mountains, Qinghai Province, China, in an area of c. 300 km2 at altitudes of 4,000-4,700 m. We surveyed 29 linear transects with a total length of c. 440 km, and located a total of 72 traces (pug marks, scrapes and urine marks) of snow leopard along four of the transects. We obtained eight photographs of snow leopard from four of six camera traps. We also recorded 1,369 blue sheep, 156 Tibetan gazelles, 47 argali, 37 red deer and one male white-lipped deer. We evaluated human attitudes towards snow leopard by interviewing the heads of 27 of the 30 Tibetan households living in the study area. These local people did not consider that snow leopard is the main predator of their livestock, and thus there is little retaliatory killing. Prospects for the conservation of snow leopard in this area therefore appear to be good. We analysed the potential threats to the species and propose the establishment of a protected area for managing snow leopard and the fragile alpine ecosystem of this region. (c) 2008 Fauna & Flora International.

Abstract: Three mature nulliparous female leopards were studied for 5 years. During three separate 6-month periods serum oestradiol and progesterone concentrations were measured at weekly intervals. Oestradiol was elevated over 21 pg/ml for 54 weeks during these 3 periods, and 36 oestradiol peaks (65\m=.\8\m=+-\6\m=.\3pg/ml (mean \m=+-\s.e.m.), range 21\p=n-\172pg/ml) were identified. Daily frequency of feline reproductive behaviours averaged over each week increased from 1\m=.\9\m=+-\0\m=.\2(n = 93) during weeks with low serum oestradiol concentrations (<21 pg/ml) to 5\m=.\3\m=+-\0\m=.\6(n = 54) during weeks when serum oestradiol concentrations (>21 pg/ml) were high. Increased serum progesterone concentrations (13\p=n-\98n/gml) were observed on 5 occasions in 2 leopards housed together. These presumptive luteal phases lasted from 1 to 5 weeks. Baseline progesterone values were 1\m=.\6\m=+-\0\m=.\4 ng/m(nl= 131). No progesterone increments were observed in isolated animals, and serum concentrations remained at baseline levels. These limited observations suggest that female leopards do not require intromission to induce ovulation and luteal function. The average interval between oestradiol peaks for cycles with no progesterone increment was 3\m=.\4weeks (range 1\p=n-\6weeks). The interval for the 3 complete cycles associated with elevated progesterone concentrations was 7\m=.\3weeks. Analysis of sexual behaviours over the 5-year study period revealed no evidence of seasonality in these
captive leopards.

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.