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Sanyal, O., Bashir, T., Rana, M., Chandan, P. (2023). First photographic record of the snow leopard Panthera uncia in Kishtwar High Altitude National Park, Jammu and Kashmir, India. Oryx, , 1–5.
Abstract: The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region.
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Ismaili, R. R. R., Peng, X., Li., Y, Ali, A., Ahmad, T., Rahman, A. U., Ahmad, S., Shi, K. (2024). Modeling Habitat Suitability of Snow Leopards in Yanchiwan National Reserve, China. Animals, 14(1938), 1–21.
Abstract: Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow leopards and identify key environmental factors inducing their distribution. Field data collected between 2019 and 2022 through scat sampling and camera trapping techniques provided insights into snow leopard habitat preferences. Spatial distribution and cluster analyses show distinct hotspots of high habitat suitability, mostly concentrated near mountainous landscapes. While altitude remains a critical determinant, with places above 3300 m showing increased habitat suitability, other factors such as soil type, human footprint, forest cover, prey availability, and human disturbance also play important roles. These variables influence ecological dynamics and are required to assess and manage snow leopard habitats. The MaxEnt model has helped us to better grasp these issues, particularly the enormous impact of human activities on habitat suitability. The current study highlights the importance of altitude in determining snow leopard habitat preferences and distribution patterns in the reserve. Furthermore, the study underscores the significance of considering elevation in conservation planning and management strategies for snow leopards, particularly in mountainous regions. By combining complete environmental data with innovative modeling tools, this study not only improves local conservation efforts but also serves as a model for similar wildlife conservation initiatives around the world. By understanding the environmental factors driving snow leopard distribution, conservation efforts can be more efficiently directed to ensure the long-term survival of this endangered species. This study provides valuable insights for evidence-based conservation efforts to safeguard the habitats of snow leopards amidst emerging anthropogenic pressure and environmental fluctuations.
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Jackson, R., & Ahlborn, G. (1989). Snow leopards (Panthera- uncia) in Nepal – home range and movements. National Geographic Research, 5(2), 161–175.
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Kashkarov, E. (2017). ZOOGEOGRAPHICAL DISCOVERIES IN WESTERN BERINGIA.208–217.
Abstract: Among zoogeographical discoveries of the frontier of XXI century there is nothing more interesting
than discoveries of Rodion Sivolobov in Western Beringia. Beringia has surprised us by
paleontological discoveries many centuries ago, and also surprised by modern one. Somehow they
came out of attention of all International environmental foundations and Academies of the world, as
if on purpose to show their professional incompetence. It is the only way to describe the
organization, not to notice the appearance of such big cats as the Snow leopard and Amur tiger for
5,000 kilometers from the border of main range, as well as large Pleistocene relict � the Irkuyembear.
All three endangered species of mammals found by Sivolobov in Koryakia and Chukotka, and
for the snow leopard he took the world's first photo in Beringia.
New facts suggests two things: (1) the ancient refuges of big cats locate to Koryakia and
Chukotka much closer of main ranges, (2) global warming, changing natural environment on the
waves of hundred-year rhythms, periodically pushing irbis and tiger on the ways of ancient
Beringian migrations stored in their genetic memories. Irkuyem is a contemporary of the mammoth.
209
Unlike it, this bear lived up to our days, but remained undetected even by the large “mammoths” of
science.
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Alexander, D. (1980). Report from a troubled land: The Soviet invasion of Afghanistan crushed oe of the most promising conservation programs in the Third World.
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Alexander, J. S., Shi, K., Tallents, L. A., Riordan, P. (2015). On the high trail: examining determinants of site use by the Endangered snow leopard Panthera uncia in Qilianshan, China. Oryx, (Fauna & Flora International), 1–8.
Abstract: Abstract There is a need for simple and robust techniques for assessment and monitoring of populations of the Endangered snow leopard Panthera uncia to inform the de- velopment of action plans for snow leopard conservation. We explored the use of occupancy modelling to evaluate the influence of environmental and anthropogenic features on snow leopard site-use patterns. We conducted a camera trap survey across  km in Gansu Province, China, and used data from  camera traps to estimate probabilities of site use and detection using the single season occupancy model. We assessed the influence of three covariates on site use by snow leopards: elevation, the presence of blue sheep Pseudois nayaur and the presence of human disturb- ance (distance to roads). We recorded  captures of snow leopards over , trap-days, representing a mean capture success of . captures per  trap-days. Elevation had the strongest influence on site use, with the probability of site use increasing with altitude, whereas the influence of presence of prey and distance to roads was relatively weak. Our findings indicate the need for practical and robust tech- niques to appraise determinants of site use by snow leo- pards, especially in the context of the limited resources available for such work.
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Alexander, J. S., Cusack, J. J., Pengju, C, Kun, S., Riordan, P. (2015). Conservation of snow leopards: spill-over benefits for other carnivores? Oryx, (Fauna & Flora International), 1–5.
Abstract: 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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Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. (2015). Face Value: Towards Robust Estimates of Snow Leopard Densities. Plos One, .
Abstract: 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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Alexander, J., Chen, P., Damerell, P., Youkui, W., Hughes, J., Shi, K., Riordan, P. (2015). Human wildlife conflict involving large carnivores in Qilianshan, China and the minimal paw-print of snow leopards. Biological Conservation, 187, 1–9.
Abstract: 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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Alexander, S., A., Zhang, C., Shi, K., Riordan, P. (2016). A granular view of a snow leopard population using camera traps in Central China. Biological Conservation, (197), 27–31.
Abstract: 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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