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Author  |
Karnaukhov, A. S., Malykh, S. V., Korablev, M. P., Kalashnikova, Y. M., Poyarkov, A. D., Rozhnov, V. V. | ||||
| Title | Current Status of the Eastern Sayan Snow Leopard (Panthera uncia) Grouping and Its Nutritive Base | Type | Journal Article | ||
| Year | 2018 | Publication | Biology Bulletin | Abbreviated Journal | |
| Volume | 45 | Issue | 9 | Pages | 1106-1115 |
| Keywords | Panthera uncia, Bol� shoi Sayan, Munku-Sardyk, Tunkinskie Gol� tsy, distribution area, molecular genetic analysis, modeling of potential habitats | ||||
| Abstract | A field survey of snow leopard (Panthera uncia) habitats was carried out in the southeastern part of the Eastern Sayan Mountains (Okinskii and Tunkinskii districts of the Republic of Buryatia and the Kaa- Khemskii district of Tuva Republic). Seven or eight adult snow leopards were observed as constant inhabitants of the Tunkinskie Gol'tsy, Munku-Sardyk, and Bol'shoi Sayan mountain ridges. The presence of eight snow leopards was confirmed using DNA-based analyses of scats collected in 2014 – 2016. The main prey species of the snow leopard in Eastern Sayan is the Siberian ibex (Capra sibirica), but its abundance has steadily decreased over the past 20 years. The red deer (Cervus elaphus) and the wild boar (Sus scrofa), which were some of the most numerous ungulates in the survey area, are replacing the Siberian ibex in the snow leopard's diet. In addition, the mountain hare (Lepus timidus) is also of importance to the snow leopard's diet. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1482 | ||
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| Author |
Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal, R. S., Sharma, S., Shekhar, S. | ||||
| Title | Predicting Habitat Suitability of Snow Leopards in the Western Himalayan Mountains, India | Type | Journal Article | ||
| Year | 2020 | Publication | Biology bulletin | Abbreviated Journal | |
| Volume | 47 | Issue | 6 | Pages | 655-664 |
| Keywords | biogeographic distribution, climate, endangered cat, MaxEnt, snow leopard | ||||
| 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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| Notes | Approved | no | |||
| Call Number | Serial | 1629 | |||
| Permanent link to this record | |||||