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Ghoshal, A., Bhatnagar, Y. V., Pandav, B., Sharma, K., Mshra, C. (2017). Assessing changes in distribution of the Endangered snow leopard Panthera uncia and its wild prey over 2 decades in the Indian Himalaya through interviewbased occupancy surveys. Oryx, , 1–13.
Abstract: Understanding species distributions, patterns of
change and threats can form the basis for assessing the conservation
status of elusive species that are difficult to survey.
The snow leopard Panthera uncia is the top predator of the
Central and South Asian mountains. Knowledge of the distribution
and status of this elusive felid and its wild prey is
limited. Using recall-based key-informant interviews we estimated
site use by snow leopards and their primary wild
prey, blue sheep Pseudois nayaur and Asiatic ibex Capra
sibirica, across two time periods (past: �; recent:
�) in the state of Himachal Pradesh, India. We
also conducted a threat assessment for the recent period.
Probability of site use was similar across the two time periods
for snow leopards, blue sheep and ibex, whereas for wild
prey (blue sheep and ibex combined) overall there was an
% contraction. Although our surveys were conducted in
areas within the presumed distribution range of the snow
leopard, we found snow leopards were using only % of
the area (, km). Blue sheep and ibex had distinct distribution
ranges. Snow leopards and their wild prey were not
restricted to protected areas, which encompassed only %
of their distribution within the study area. Migratory livestock
grazing was pervasive across ibex distribution range
and was the most widespread and serious conservation
threat. Depredation by free-ranging dogs, and illegal hunting
and wildlife trade were the other severe threats. Our
results underscore the importance of community-based, landscape-
scale conservation approaches and caution against reliance
on geophysical and opinion-based distribution maps that have been used to estimate national and global snow leopard ranges.
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Peden, W. M., Richard, J. L., Trampel, D. W., & Brannian, R. E. (1985). Mycotic pneumonia and meningoencephalitis due to Aspergillus terreus in a neonatal snow leopard (Panthera uncia) (Vol. 21).
Abstract: On 14 May 1983, two female snow leopard (Panthera uncia) cubs were born in the Kansas City Zoological Gardens to a primiparous female. The female showed little interest in the cubs, one of which had a body temperature of 30 C, so they were removed for hand-rearing. On 15 May, one cub was less active, and did not nurse as well as its littermate.
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Trivedi, P. (2009). Project Snow Leopard: Participatory conservation model for the Indian Himalaya. Mountain Forum Bulletin, Ix(2), 52–54.
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Jain, N., Wangchuk, R., & Jackson, R. (2003). An Assessment of CBT and Homestay Sites in Spiti District, Himachal Pradesh.
Abstract: The survey described in this report builds upon prior CBT activities undertaken by The Mountain Institute (TMI) in partnership with the Snow Leopard Conservancy (SLC) in Ladakh, supported by a grant from UNESCO (with co-financing from SLC). Under the evolving concept of “Himalayan Homestays”, initially developed and tested in Ladakh, it is proposed that activities be expanded to selected states in India in a strategic and effective way. Himalayan Homestays are part of a larger integrated program to link snow leopard conservation with local livelihoods in Asia.
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The Snow Leopard Conservancy. (2001). Visitor Attitude and Market Survey for Planning Community-based Tourism Initiatives in Rural Ladakh (Vol. SLC Field Series Document No. 2.). Los Gatos, California.
Abstract: Bounded by two of the world's highest mountain ranges, the Great Himalaya and the Karakoram, Ladakh is a land of exhilarating mountain landscapes, rocky gorges and a unique cultural heritage. It is also home to distinctive wildlife such as the snow leopard, blue sheep and Tibetan wild ass, all living in a unique high altitude desert ecosystem. Not surprisingly, Ladakh is becoming a sought after tourist destination for international and domestic visitors alike. Over the past two decades tourism has grown substantially, although erratically, with both positive and less positive results for Ladakh's environment and people. People are recognizing that it is important to act now and engage in an informed dialogue in order to conserve the natural and cultural resources on which the future of tourism and related incomes depend. The Snow Leopard Conservancy (SLC) is working in collaboration with local communities and nongovernmental organizations to foster co-existence between people and predators like the endangered snow leopard by reducing livestock depredation losses and improving household incomes in environmentally friendly, socially responsible and economically viable ways. Well-balanced tourism is one income generating option.
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Hanson, J. H., Schutgens, M., Lama, R.P., Aryal, A., Dhakal, M. (2018). Local attitudes to the proposed translocation of blue sheep Pseudois nayaur to Sagarmatha National Park, Nepal. Fauna & Flora International, , 1–7.
Abstract: Translocations are an important tool for the conservation
of biodiversity, but although ecological feasibility
studies are frequently conducted prior to implementation,
social feasibility studies that consider how local communities
perceive such projects are less common. The translocation
of blue sheep Pseudois nayaur to Sagarmatha National
Park, Nepal, has been proposed, to reduce livestock depredation
by snow leopards Panthera uncia by providing an alternative
prey base in addition to the small population of
Himalayan thar Hemitragus jemlahicus. This study used
systematic sampling, a quantitative questionnaire and qualitative
interviews within the Park to provide data on the social
viability of the proposed translocation. Quantitative
analysis revealed moderate levels of support but qualitative
analysis suggested that there are significant concerns about
the proposal. In addition,multiple regression analysis found
that women and livestock owners were significantly less
supportive, although the model had low explanatory
power. Potential crop damage and competition for forage
were frequently cited as concerns, especially amongst
those with a high level of dependence on natural resources.
Given the mixed response to the proposed translocation of
blue sheep to the Everest region, alleviating the reservations
of local residents is likely to be key to any further consultation,
planning or implementation.
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Halemba, A., & Donahoe, B. (2009). Local perspectives on hunting and poaching: Research report for WWF Russia Altai-Saian Ecoregion. WWF Report, , 1–34.
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Wahlberg, C. (1980). Autopsy findings and causes of death in captive snow leopards (Panthera uncia): a preliminary report. In L. Blomqvist (Ed.), International Pedigree Book of Snow Leopards (Vol. 2, pp. 205–217). Helsinki: Helsinki Zoo.
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Anonymous. (2000). A snow leopard conservation plan for Mongolia.
Abstract: The snow leopard faces multiple threats in the Himalayan region, from habitat degradation, loss of prey, the trade in pelts, parts and live animals, and conflict with humans, primarily pastoralists. Consequently, the populations are considered to be in decline and the species is listed as Endangered in the IUCN's Red List. As a 'flagship' and 'umbrella' species the snow leopard can be a unifying biological feature to raise awareness of its plight and the need for conservation, which will benefit other facets of Himalayan biodiversity as well. Some studies of snow leopards have been conducted in the Himalayan region. But, because of its elusive nature and preference for remote and inaccessible habitat, knowledge of the ecology and behaviour of this mystical montane predator is scant. The available information, however, suggests that snow leopards occur at low densities and large areas of habitat are required to conserve a viable population. Thus, many researchers and conservationists have advocated landscape-scale approaches to conservation within a regional context, rather than focusing on individual protected areas.This regional strategy for WWF's snow leopard conservation program is built on such an approach. The following were identified as important regional issues: 1) international trade in snow leopards and parts; 2) the human-snow leopard conflict; 3) the need for a landscape approach to conservation to provide large spatial areas that can support demographically and ecologically viable snow leopard metapopulations; 4) research on snow leopard ecology to develop long-term, science-based conservation management plans; and 5) regional coordination and dialog. While the issues are regional, the WWF's in the region have developed 5-year strategic actions and activities, using the regional strategies as a touchstone, which will be implemented at national levels. The WWF's will develop proposals based on these strategic actions, with estimated budgets, for use by the network for funding and fund-raising. WWF also recognizes the need to collaborate and coordinate within the network and with other organizations in the region to achieve conservation goals in an efficient manner, and will form a working group to coordinate activities and monitor progress.
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. (2023). Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection. Ecological Informatics, 77(102214), 1–14.
Abstract: Photo-identification of individual snow leopards (Panthera uncia) is the primary data source for density estimation via capture-recapture statistical methods. To identify individual snow leopards in camera trap imagery, it is necessary to match individuals from a large number of images from multiple cameras and historical catalogues, which is both time-consuming and costly. The camouflaged snow leopards also make it difficult for machine learning to classify photos, as they blend in so well with the surrounding mountain environment, rendering applicable software solutions unavailable for the species. To potentially make snow leopard individual identification available via an artificial intelligence (AI) software interface, we first trained and evaluated image classification techniques for a convolutional neural network, pose invariant embeddings (PIE) (a triplet loss network), and compared the accuracy of PIE to that of the HotSpotter algorithm (a SIFT-based algorithm). Data were acquired from a curated library of free-ranging snow leopards taken in Afghanistan between 2012 and 2019 and from captive animals in zoos in Finland, Sweden, Germany, and the United States. We discovered several flaws in the initial PIE model, such as a small amount of background matching, that was addressed, albeit likely not fixed, using background subtraction (BGS) and left-right mirroring (LR) techniques which demonstrated reasonable accuracy (Rank 1: 74% Rank-5: 92%) comparable to the Hotspotter results (Rank 1: 74% Rank 2: 84%)The PIE BGS LR model, in conjunction with Hotspotter, yielded the following results: Rank-1: 85%, Rank-5: 95%, Rank-20: 99%. In general, our findings indicate that PIE BGS LR, in conjunction with HotSpotter, can classify snow leopards more accurately than using either algorithm alone.
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