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Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. |
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Title |
How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas |
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Journal Article |
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Year |
2022 |
Publication |
Journal of Resources and Ecology |
Abbreviated Journal |
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13 |
Issue |
3 |
Pages |
483-500 |
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Keywords |
habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia |
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Abstract |
The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain. |
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1698 |
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Guoliang, P., Alexander, J. S., Riordan, P., Shi, K., Kederhan, Yang, H |
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Title |
Detection of a snow leopard population in northern Bortala, Xinjiang, China |
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Journal Article |
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Year |
2016 |
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Cat News |
Abbreviated Journal |
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63 |
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We substantiate the presence of snow leopards Panthera uncia using camera
traps within the Dzungarian Alatau range in Bortala Mongolia Autonomous Prefecture,
Xinjiang Province, China. A total of 13 camera trap stations were set up in
2012 and a total of 14 camera trap stations in 2013 within an area of 192 km2. A total
of 11-15 individual adult snow leopards and two sub adults were identified from
photo captures of sufficient quality. A range of human activities were noted within
and surrounding the survey area, including livestock herding and mining. We recommend
more large scale and intensive camera trap surveys to further assess the
population status of the snow leopard within this area |
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1443 |
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Riordan, P. |
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Title |
Unsupervised recognition of individual tigers and snow leopards from their footprints |
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Miscellaneous |
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1998 |
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Animal Conservation |
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1 |
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253-262 |
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Keywords |
captive; panthera tigris; panthera uncia; snow leopard; techniques; tiger |
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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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Call Number |
SLN @ rana @ 896 |
Serial |
823 |
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Author |
Shi, K.; Jun, Z.F.S.; Zhigang, D.; Riordan, P.; MacDonald, D. |
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Title |
Reconfirmation of snow leopards in Taxkurgan Nature Reserve, Xinjiang, China |
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Journal Article |
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Year |
2009 |
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Oryx |
Abbreviated Journal |
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43 |
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2 |
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169-170 |
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Keywords |
administration; Beijing; China; conservation; global; habitat; management; nature; presence; province; range; research; reserve; snow-leopard; snow-leopards; snow leopard; snow leopards; species; uncia; wildlife; Xinjiang |
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China may hold a greater proportion of the global snow leopard Panthera uncia population than any other country, with the area of good quality suitable habitat, estimated at nearly 300,000 km2, comprising .50% of that available across the species' entire range. We can now reconfirm the presence of snow leopard in the Taxkurgan area of Xinjiang Province in north-west China after a period of 20 years. |
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Fauna & Flora International |
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United Kingdom |
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SHI KUN Institute of Wildlife Conservation and Management, Beijing Forestry University, China ZHU FUDE SHI JUN and DAI ZHIGANG Xinjiang Forestry Administration, China PHILIP RIORDAN and DAVID MACDONALD Wildlife Conservation Research Unit, Department of Zoology, University of Oxford, Tubney House, Abingdon Road, Tubney, Abingdon, OX13 5QL, UK. E-mail philip.riordan@zoo.ox.ac.uk |
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Call Number |
SLN @ rana @ 1056 |
Serial |
884 |
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Author |
Xiao, C., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. |
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Title |
How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas |
Type |
Journal Article |
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Year |
2022 |
Publication |
Journal of Resources and Ecology |
Abbreviated Journal |
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Volume |
13 |
Issue |
3 |
Pages |
483-500 |
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Keywords |
habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia |
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Abstract |
The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain. |
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Call Number |
SLN @ rakhee @ |
Serial |
1688 |
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| Permanent link to this record |
