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Author Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P.
Title Face Value: Towards Robust Estimates of Snow Leopard Densities Type Journal Article
Year 2015 Publication Plos One Abbreviated Journal
Volume Issue Pages
Keywords Densities, Snow Leopard, Camera traps, Spatial Capture Recapture models
Abstract (down) When densities of large carnivores fall below certain thresholds, dramatic ecological effects

can follow, leading to oversimplified ecosystems. Understanding the population status of

such species remains a major challenge as they occur in low densities and their ranges are

wide. This paper describes the use of non-invasive data collection techniques combined

with recent spatial capture-recapture methods to estimate the density of snow leopards

Panthera uncia. It also investigates the influence of environmental and human activity indicators

on their spatial distribution. A total of 60 camera traps were systematically set up during

a three-month period over a 480 km2 study area in Qilianshan National Nature Reserve,

Gansu Province, China. We recorded 76 separate snow leopard captures over 2,906 trapdays,

representing an average capture success of 2.62 captures/100 trap-days. We identified

a total number of 20 unique individuals from photographs and estimated snow leopard

density at 3.31 (SE = 1.01) individuals per 100 km2. Results of our simulation exercise indicate

that our estimates from the Spatial Capture Recapture models were not optimal to

respect to bias and precision (RMSEs for density parameters less or equal to 0.87). Our

results underline the critical challenge in achieving sufficient sample sizes of snow leopard

captures and recaptures. Possible performance improvements are discussed, principally by

optimising effective camera capture and photographic data quality.
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Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1431
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Author Guoliang, P., Alexander, J. S., Riordan, P., Shi, K., Kederhan, Yang, H
Title Detection of a snow leopard population in northern Bortala, Xinjiang, China Type Journal Article
Year 2016 Publication Cat News Abbreviated Journal
Volume Issue 63 Pages
Keywords
Abstract (down) 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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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1443
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Author Atzeni, L., Cushman, S. A., Wang, J., Riordan, P., Shi, K., Bauman, D.
Title Evidence of spatial genetic structure in a snow leopard population from Gansu, China Type Journal Article
Year 2021 Publication Heredity Abbreviated Journal
Volume Issue Pages
Keywords
Abstract (down) Understanding the spatial structure of genetic diversity provides insights into a populations’ genetic status and enables assessment of its capacity to counteract the effects of genetic drift. Such knowledge is particularly scarce for the snow leopard, a conservation flagship species of Central Asia mountains. Focusing on a snow leopard population in the Qilian mountains of Gansu Province, China, we characterised the spatial genetic patterns by incorporating spatially explicit indices of diversity and multivariate analyses, based on different inertia levels of Principal Component Analysis (PCA). We compared two datasets differing in the number of loci and individuals. We found that genetic patterns were significantly spatially structured and were characterised by a broad geographical division coupled with a fine-scale cline of differentiation. Genetic admixture was detected in two adjoining core areas characterised by higher effective population size and allelic diversity, compared to peripheral localities. The power to detect significant spatial relationships depended primarily on the number of loci, and secondarily on the number of PCA axes. Spatial patterns and indices of diversity highlighted the cryptic structure of snow leopard genetic diversity, likely driven by its ability to disperse over large distances. In combination, the species’ low allelic richness and large dispersal ability result in weak genetic differentiation related to major geographical features and isolation by distance. This study illustrates how cryptic genetic patterns can be investigated and analysed at a fine spatial scale, providing insights into the spatially variable isolation effects of both geographic distance and landscape resistance.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
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ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1661
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Author Riordan, P.
Title Unsupervised recognition of individual tigers and snow leopards from their footprints Type Miscellaneous
Year 1998 Publication Animal Conservation Abbreviated Journal
Volume 1 Issue Pages 253-262
Keywords captive; panthera tigris; panthera uncia; snow leopard; techniques; tiger
Abstract (down) 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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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rana @ 896 Serial 823
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Author Xiao, C., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K.
Title How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas Type Journal Article
Year 2022 Publication Journal of Resources and Ecology Abbreviated Journal
Volume 13 Issue 3 Pages 483-500
Keywords habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia
Abstract (down) 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.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1688
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Author Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K.
Title How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas Type Journal Article
Year 2022 Publication Journal of Resources and Ecology Abbreviated Journal
Volume 13 Issue 3 Pages 483-500
Keywords habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia
Abstract (down) 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.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1698
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Author Alexander, S., A., Zhang, C., Shi, K., Riordan, P.
Title A granular view of a snow leopard population using camera traps in Central China Type Journal Article
Year 2016 Publication Biological Conservation Abbreviated Journal
Volume Issue 197 Pages 27-31
Keywords Snow leopard Camera trap China Density Monitoring
Abstract (down) Successful conservation of the endangered snow leopard (Panthera uncia) relies on the effectiveness of monitoring programmes. We present the results of a 19-month camera trap survey effort, conducted as part of a longterm study of the snow leopard population in Qilianshan National Nature Reserve of Gansu Province, China. Weassessed the minimumnumber of individual snowleopards and population density across different sampling periods using spatial capture–recapture methods. Between 2013–2014, we deployed 34 camera traps across an area of 375 km2, investing a total of 7133 trap-days effort. Weidentified a total number of 17–19 unique individuals

from photographs (10–12 adults, five sub-adults and two cubs). The total number of individuals identified and estimated density varied across sampling periods, between 10–15 individuals and 1.46–3.29 snow leopards per 100 km2 respectively. We demonstrate that snow leopard surveys of limited scale and conducted over short sampling periods only present partial views of a dynamic and transient system.We also underline the challenges in achieving a sufficient sample size of captures and recaptures to assess trends in snow leopard population size and/or density for policy and conservation decision-making
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1436
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Author Atzeni, L., Cushman, S. A., Bai, D., Wang, J., Chen, P., Shi, K., Riordan, P.
Title Meta-replication, sampling bias, and multi-scale model selection: A case study on snow leopard (Panthera uncia) in western China. Type Journal Article
Year 2020 Publication Ecology and Evolution Abbreviated Journal
Volume Issue Pages 1-27
Keywords MaxEnt, meta-replication, multi-scale, Panthera uncia, sampling bias, scale selection, snow leopard, species distribution model
Abstract (down) Replicated multiple scale species distribution models (SDMs)

have become increasingly important to identify the correct variables

determining species distribution and their influences on ecological

responses. This study explores multi-scale habitat relationships of the

snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan

Plateau of western China. Our primary objectives were to evaluate the

degree to which snow leopard habitat relationships, expressed by

predictors, scales of response, and magnitude of effects, were

consistent across study areas or locally landcape-specific. We coupled

univariate scale optimization and the maximum entropy algorithm to

produce multivariate SDMs, inferring the relative suitability for the

species by ensembling top performing models. We optimized the SDMs based

on average omission rate across the top models and ensembles’ overlap

with a simulated reference model. Comparison of SDMs in the two study

areas highlighted landscape-specific responses to limiting factors.

These were dependent on the effects of the hydrological network,

anthropogenic features, topographic complexity, and the heterogeneity of

the landcover patch mosaic. Overall, even accounting for specific local

differences, we found general landscape attributes associated with snow

leopard ecological requirements, consisting of a positive association

with uplands and ridges, aggregated low-contrast landscapes, and large

extents of grassy and herbaceous vegetation. As a means to evaluate the

performance of two bias correction methods, we explored their effects on

three datasets showing a range of bias intensities. The performance of

corrections depends on the bias intensity; however, density kernels

offered a reliable correction strategy under all circumstances. This

study reveals the multi-scale response of snow leopards to environmental

attributes and confirms the role of meta-replicated study designs for

the identification of spatially varying limiting factors. Furthermore,

this study makes important contributions to the ongoing discussion about

the best approaches for sampling bias correction.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number Serial 1616
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Author Alexander, J., Chen, P., Damerell, P., Youkui, W., Hughes, J., Shi, K., Riordan, P.
Title Human wildlife conflict involving large carnivores in Qilianshan, China and the minimal paw-print of snow leopards Type Journal Article
Year 2015 Publication Biological Conservation Abbreviated Journal
Volume 187 Issue Pages 1-9
Keywords Snow leopard Carnivores Livestock depredation Social attitudes China
Abstract (down) In this paper, we assess local perceptions towards snow leopards in North West China using a framework

depicting key conflict domains. We describe the perceived threats posed to humans by the snow leopard

and set them within beliefs and attitudes towards other species within the large carnivore assemblage in

this region. Surveys were conducted in seven villages within Qilianshan National Nature Reserve, Gansu

Province, China, to document reports of snow leopard (Panthera uncia), grey wolf (Canis lupus), Eurasian

lynx (Lynx lynx) and brown bear (Ursus arctos) depredation of livestock, and local attitudes towards each

species. Questionnaire-based interviews were held with 60 households and 49 livestock herders. Herding

of yak, sheep and goats was found to be a common livelihood activity among households in all villages.

Herders reported losing livestock to all four carnivore species. Herders reported that depredation was the

most common event affecting livestock, compared with natural disasters or disease, and represented a

total loss of 3.6% of the livestock population during the previous year. Most (53%) depredation losses were

attributed to lynx, while snow leopards were held responsible for only 7.8% of depredation losses. The

reported impact of snow leopards on herding activities was relatively small and the majority of both

householders and herders expressed positive attitudes towards them and supported measures for their

protection. Households and herders held negative attitudes towards lynx, wolves and bears, however,

most likely due to their perceived threat to livestock and humans. Understanding community perceptions

of threats posed by wildlife is vital for gaining community support for, and engagement in, conflict

mitigation.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1422
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Author Alexander, J. S., Cusack, J. J., Pengju, C, Kun, S., Riordan, P.
Title Conservation of snow leopards: spill-over benefits for other carnivores? Type Journal Article
Year 2015 Publication Oryx Abbreviated Journal
Volume Issue Fauna & Flora International Pages 1-5
Keywords China, conservation, Eurasian lynx, grey wolf, red fox, snow leopard
Abstract (down) In high-altitude settings of Central Asia the

Endangered snow leopard Panthera uncia has been recognized

as a potential umbrella species. As a first step in assessing

the potential benefits of snow leopard conservation for

other carnivores, we sought a better understanding of the

presence of other carnivores in areas occupied by snow leopards

in China’s Qilianshan National Nature Reserve. We

used camera-trap and sign surveys to examine whether

other carnivores were using the same travel routes as snow

leopards at two spatial scales. We also considered temporal

interactions between species. Our results confirm that other

carnivores, including the red fox Vulpes vulpes, grey wolf

Canis lupus, Eurasian lynx Lynx lynx and dhole Cuon alpinus,

occur along snow leopard travel routes, albeit with low detection

rates. Even at the smaller scale of our camera trap survey

all five carnivores (snow leopard, lynx, wolf, red fox and

dhole) were observed. Kernel density estimates suggested a

high degree of temporal overlap between the snow leopard

and the fox, and the snow leopard and the lynx, as indicated

by high overlap coefficient estimates. There is an opportunity

to consider protective measures at the local scale that would

benefit various species simultaneously. However, it should

also be recognized that snow leopard conservation efforts

could exacerbate human–wildlife conflicts through their protective

effect on other carnivore species.
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Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number SLN @ rakhee @ Serial 1434
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