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Blomqvist, L. (2008). International Pedigree Book for Snow Leopards, Uncia uncia. Helsinki: Helsinki Zoo.
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The Snow Leopard Conservancy. (2002). A Survey of Kathmandu-based Trekking Agencies: Market Opportunities for Linking Community-Based Ecotourism with the Conservation of Snow Leopard in the Annapurna Conservation Area. Report prepared for WWF-Nepal Programme (Vol. SLC Field Series Document No. 4). Los Gatos, California.
Abstract: In 2001 the King Mahendra Trust for Nature Conservation (KMTNC), Annapurna Conservation Area (ACAP), Snow Leopard Conservancy (SLC) and WWF-Nepal initiated a collaborative project aimed at enhancing ecotourism in the Manang area, in ways that strengthen benefits to local communities while also protecting the environment and the local culture. Manang is known for its relatively dense snow leopard population, along with supporting good numbers of blue sheep, the endangered cat's principal prey through much of the Himalaya. However, snow leopards periodically kill many livestock, leading to retributive killing by herders along with other associated people-wildlife conflict. In order to encourage the local people to better co-exist with snow leopards and other wildlife, SLC, WWF-Nepal and ACAP agreed to explore ways of providing tourism benefits to local communities as an incentive to protect this rare predator and conserve its alpine habitat. Key in this regard is the possibility of developing locally guided nature treks, and accordingly, this survey was conducted in order to assess existing market opportunities and constraints to such ecotourism enterprise.
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ud Din, J. (2008). Assessing the Status of Snow Leopard in Torkhow Valley, District Chitral, Pakistan: Final Technical Report.
Abstract: This study was aimed at assessing the status of Snow leopard, its major prey base, and the extent of human-Snow leopard conflict and major threats to the wildlife in north Chitral (Torkhow valley) Pakistan. Snow leopard occurrence was conformed through sign transect surveys i.e. SLIMS. Based on the data collected the number of Snow leopards in this survey block (1022 Kmý) is estimated to be 2-3 animals. Comparing this estimate with the available data from other parts of the district the population of snow leopard in Chitral district was count to be 36 animals. Livestock depredation reports collected from the area reflect the existence of human-snow leopard conflict and 138 cases were recorded affecting 102 families (in a period of eight years, 2001-2008). Ungulates (Himalayan Ibex) rut season surveys were conducted in coordination with NWFP Wildlife department. A total of 429 animals were counted using direct count (point method) surveys. Other snow leopard prey species recorded include marmot, hare, and game birds. Signs of other carnivores i.e. wolf, jackal, and fox were also noticed. Major threats to the survival of wildlife especially snow leopard reckoned include retaliatory killing (Shooting, Poisoning), poaching, loss of natural prey, habitat degradation (over grazing, fodder and fuel wood collection), lack of awareness, and over population. GIS map of the study area was developed highlighting the area searched for Snow leopard and its prey species. Capacity of the Wildlife Department staff was built in conducting SLIMS and ungulate surveys through class room and on field training. Awareness regarding the importance of wildlife conservation was highlighted to the students, teachers and general community through lectures and distribution of resource materials developed by WWF-Pakistan.
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Sharma, K. M. C., Thomas. Johannson, Orjan. Ud Din, Jaffar. Bayarjargal, A. (2010). Snow Leopards and Telemetry: Experiences and Challenges. Telemetry in Wildlife Science, 13(No. 1), 1–5.
Abstract: The snow leopard Panthera uncia is one of the least studied felids in the world. Little is know about various aspects of the ecology of the snow leopard, which is cryptic in nature and found across 12 countries in Central Asia. Most research on snow leopards has been based on non-invasive methods such as sign surveys for presence (e.g. Jackson and Hunter 1996), scat analyses for diet (e.g. Chundawat and Rawat 1992; Oli et al., 2008, 2010) for population estimation, and studies based on human interviews (Mehta and Heinen 2001; Mishra and Bagchi 2006).
Despite this plethora of studies employing non-invasive techniques, several crucial questions about snow leopard ecology remain unanswered. Information about the animal’s home range, dispersal, corridors, pattern of habitat use, movement patterns, hunting frequency, behavior and intra – specific interactions is not available yet. In order to design population monitoring studies using camera traps or DNA analyses, one needs a good understanding of snow leopard ecology, including the home range and movement patterns (Williams et al., 2002). Telemetry is still the best available method and perhaps much less invasive than direct observations for studying the biology and ecology of cryptic animals.
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MaMing, R.. F., Xu. Yun, Cheng et al. (2013). Snow Leopards in Xinjiang.
Abstract: The snow leopard Uncia uncia is a globally endangered species, occurring in China and 11
neighboring countries, with a total population of 3500-7000 individuals. China is very important
for Snow Leopards, as it contains both the more than half of the distribution area and the largest
remaining population. However, like other big cats, the density is very low, perhaps less than 1
individual per 100 square kilometers in the western mountains of China. This book first reviewed
ten years of research by Xinjiang Snow Leopard Team (XSLT), and it contains over 300 figures
including maps, illustrations, pictures and photos, 46 tables as well as more than a thousand
references and 1100 key words in the index.
In the past ten years, XSLT has received much support and funding from the Snow Leopard
Trust (SLT) and the Xinjiang Conservation Fund (XCF). In this regard, the Chinese government
has not yet given one cent to support the Xinjiang Snow Leopard Project. Our situation is very
difficult indeed, and it is hoped that this book will inspire future government support.
There are many topics discussed in this work including a decade of successes or failures with
the Snow Leopard Survival Strategy (SLSS from 2002 to 2012). The authors also present findings
from every International Snow Leopard Conference (1978-2008), the stories of 14 experts, the big
events of conservation and research (1776-2012), and many questions for future research in the
appendix. This is the first work about snow leopards in China. It is a popular scientific book that
covers snow leopard monitoring, research, conservation and management, and it could also be
very helpful to nature reserve staff and scientists as well as students, teachers, outdoor explorers,
volunteers and cat lovers.
The book contains the following: preface, table of contents (in English), and chapters on the
ancient records of snow leopards; their place in the family of big cats; research methods and field
logs for snow leopards; their population size and distribution in China; biological knowledge,
conservation and management of snow leopards; their presence in zoos; Nature Reserves in
Xinjiang, the experiences of snow leopard conservation in other countries; appendix; index; and
afterword (ISBN 978-7-03-036723-5, the book was published in March 2013 with total of 616
pages and approximately 0.77 million Chinese words, price: RMB 145.00 Yuan).
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Ming, M. F., Xu. Yun, Cheng et al. (2013). Snow Leopards in Xinjiang.
Abstract: The snow leopard Uncia uncia is a globally endangered species, occurring in China and 11
neighboring countries, with a total population of 3500-7000 individuals. China is very important
for Snow Leopards, as it contains both the more than half of the distribution area and the largest
remaining population. However, like other big cats, the density is very low, perhaps less than 1
individual per 100 square kilometers in the western mountains of China. This book first reviewed
ten years of research by Xinjiang Snow Leopard Team (XSLT), and it contains over 300 figures
including maps, illustrations, pictures and photos, 46 tables as well as more than a thousand
references and 1100 key words in the index.
In the past ten years, XSLT has received much support and funding from the Snow Leopard
Trust (SLT) and the Xinjiang Conservation Fund (XCF). In this regard, the Chinese government
has not yet given one cent to support the Xinjiang Snow Leopard Project. Our situation is very
difficult indeed, and it is hoped that this book will inspire future government support.
There are many topics discussed in this work including a decade of successes or failures with
the Snow Leopard Survival Strategy (SLSS from 2002 to 2012). The authors also present findings
from every International Snow Leopard Conference (1978-2008), the stories of 14 experts, the big
events of conservation and research (1776-2012), and many questions for future research in the
appendix. This is the first work about snow leopards in China. It is a popular scientific book that
covers snow leopard monitoring, research, conservation and management, and it could also be
very helpful to nature reserve staff and scientists as well as students, teachers, outdoor explorers,
volunteers and cat lovers.
The book contains the following: preface, table of contents (in English), and chapters on the
ancient records of snow leopards; their place in the family of big cats; research methods and field
logs for snow leopards; their population size and distribution in China; biological knowledge,
conservation and management of snow leopards; their presence in zoos; Nature Reserves in
Xinjiang, the experiences of snow leopard conservation in other countries; appendix; index; and
afterword (ISBN 978-7-03-036723-5, the book was published in March 2013 with total of 616
pages and approximately 0.77 million Chinese words, price: RMB 145.00 Yuan).
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Young, J. C., Alexander, J. S., Bijoor, A., Sharma, D., Dutta, A., Agvaantseren, B., Mijiddorj, T. N., Jumabay, K., Amankul, V., Kabaeva, B., Nawaz, A., Khan, S., Ali, H., Rullman, J. S., Sharma, K., Murali, R., Mishra, C. (2021). Community-Based Conservation for the Sustainable Management of Conservation Conflicts: Learning from Practitioners (Vol. 13).
Abstract: We explore the role of community-based conservation (CBC) in the sustainable management of conservation conflicts by examining the experiences of conservation practitioners trying to address conflicts between snow leopard conservation and pastoralism in Asian mountains. Practitioner experiences are examined through the lens of the PARTNERS principles for CBC (Presence, Aptness, Respect, Transparency, Negotiation, Empathy, Responsiveness, and Strategic Support) that represent an inclusive conservation framework for effective and ethical engagement with local communities. Case studies from India, Kyrgyzstan, Mongolia, and Pakistan show that resilient relationships arising from respectful engagement and negotiation with local communities can provide a strong platform for robust conflict management. We highlight the heuristic value of documenting practitioner experiences in on-the-ground conflict management and community-based conservation efforts.
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Aryal, A. (2009). Final Report On Demography and Causes of Mortality of Blue Sheep (Pseudois nayaur) in Dhorpatan Hunting Reserve in Nepal.
Abstract: A total of 206 individual Blue sheep Pseudois nayaur were estimated in Barse and Phagune blocks of Dhorpatan Hunting Reserve (DHR) and population density was 1.8 Blue sheep/sq.km. There was not significant change in population density from last 4 decades. An average 7 animals/herd (SD-5.5) were classified from twenty nine herds, sheep per herds varying from 1 to 37. Blue sheep has classified into sex ratio on an average 75 male/100females was recorded in study area. The sex ratio was slightly lower but not significantly different from the previous study. Population of Blue sheep was seen stable or not decrease even there was high poaching pressure, the reason may be reducing the number of predators by poison and poaching which has
supported to increase blue sheep population. Because of reducing the predators Wolf Canis lupus, Wild boar population was increasing drastically in high rate and we can observed wild boar above the tree line of DHR. The frequency of occurrence of different prey species in scats of different predators shows that, excluding zero values, the frequencies of different prey species were no significantly different (ö2= 10.3, df = 49, p > 0.05). Most of the scats samples (74%) of Snow leopard, Wolf, Common Leopard, Red fox's cover one prey species while two and three species were present in 18% and 8%, respectively. Barking deer Muntiacus muntjak was the most frequent (18%) of total diet composition of common leopards. Pika Ochotona roylei was the most frequent (28%), and Blue sheep was in second position for diet of snow leopards which cover 21% of total diet composition. 13% of diet covered non-food item such as soil, stones, and vegetable. Pika was most frequent on Wolf and Red fox diet which covered 32% and 30% respectively. There was good positive relationship between the scat density and Blue sheep consumption rate, increasing the scat density, increasing the Blue sheep consumption rate. Blue sheep preference by different predators such as Snow leopard, Common leopard, Wolf and Red fox were 20%, 6%, 13% and 2% of total prey species respectively.
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. (2020). Research trends and management options in human-snow leopard conflict. Biological Conservation, 242(108413), 1–10.
Abstract: Conservation of the snow leopard (Panthera uncia) is challenging because of its threatened status and increase in human-snow leopard conflict (HSC). The area of occupancy of the snow leopard comprises mountainous regions of Asia that are confronted with various environmental pressures including climate change. HSCs have increased with a burgeoning human population and economic activities that enhance competition between human and snow leopard or its preys. Here we systematically review the peer-reviewed literature from 1994 to 2018 in Web of Science, Google Scholar, Science Direct and PubMed (30 articles), to evaluate the current state of scholarship about HSCs and their management. We determine: 1) the spatio-temporal distribution of relevant researches; 2) the methodologies to assess HSCs; 3) and evaluate existing interventions for conflict management; and 4) the potential options for HSC management. The aim of the current study is thus to identify key research gaps and future research requirements. Of the articles in this review, 60% evaluated the mitigation of HSCs, while only 37% provided actionable and decisive results. Compensation programs and livestock management strategies had high success rates for mitigating HSCs through direct or community-managed interventions. Further research is required to evaluate the efficacy of existing HSC mitigation strategies, many of which, while recommended, lack proper support. In spite of the progress made in HSC studies, research is needed to examine ecological and sociocultural context of HSCs. We suggest future work focus on rangeland management for HSC mitigation, thus ultimately fostering a co-existence between human and snow leopard.
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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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