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| Author | Jiang, Z. | ||||
| Title | Snow leopards in the Dulan International Hunting Ground, Qinghai, China | Type | Report | ||
| Year | 2005 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 1-8 | ||
| Keywords | snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; International; hunting; Qinghai; China; project; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; surveys; survey; mountains; mountain; province; transect; study; area; transects; pug; pug marks; pug-marks; marks; scrapes; scrape; density; densities; wild; ungulates; ungulate; region; camera; environment; photo; capture; population; population size; population-size; Animals; Animal; 20; livestock; Human; attitudes; attitude; tibetan; 30; nature; reserve; uncia; Uncia uncia; Uncia-uncia; species; snow line; snow-line; endemic; alpine; central; Central Asia; asia; countries; country; fox; range; areas; Xinjiang; inner; Inner-Mongolia; Mongolia; Tibet; gansu; Sichuan; habitat; protection; nature reserves; reserves; cat; populations; domestic; laws; law; field; field surveys; field survey; field-surveys; field-survey; Kunlun; distribution; survival; status; Data; conservation | ||||
| Abstract | From March to May, 2006œªwe conducted extensive snow leopard surveys in the Burhanbuda Mountain Kunlun Mountains, Qinghai Province, China. 32 linear transect of 5~15 km each, which running through each vegetation type, were surveyed within the study area. A total of 72 traces of snow leopard were found along 4 transects (12.5% of total transects). The traces included pug marks or footprints, scrapes and urine marks. We estimated the average density of wild ungulates in the region was 2.88ñ0.35 individuals km-2(n=29). We emplaced 16 auto2 trigger cameras in different environments and eight photos of snow leopard were shot by four cameras and the capture rate of snow leopard was 71.4%. The minimum snow leopard population size in the Burhanbuda Mountain was two, because two snow leopards were phototrapped by different cameras at almost same time. Simultaneously, the cameras also shot 63 photos of other wild animals, including five photos are unidentified wild animals, and 20 photos of livestock. We evaluated the human attitudes towards snow leopard by interviewing with 27 Tibetan householders of 30 householders live in the study area. We propose to establish a nature reserve for protecting and managing snow leopards in the region. Snow leopard (Uncia uncia) is considered as a unique species because it lives above the snow line, it is endemic to alpines in Central Asia, inhabiting in 12 countries across Central Asia (Fox, 1992). Snow leopard ranges in alpine areas in Qinghai, Xinjiang, Inner Mongolia, Tibet, Gansu and Sichuan in western China (Liao, 1985, 1986; Zhou, 1987; Ma et al., 2002; Jiang & Xu, 2006). The total population and habitat of snow leopards in China are estimated to be 2,000~2,500 individuals and 1,824,316 km2, only 5% of which is under the protection of nature reserves. The cat's current range is fragmented (Zou & Zheng, 2003). Due to strong human persecutions, populations of snow leopards decreased significantly since the end of the 20th century. Thus, the snow leopards are under the protection of international and domestic laws. From March to May, 2006, we conducted two field surveys in Zhiyu Village, Dulan County in Burhanbuda Mountain, Kunlun Mountains, China to determine the population, distribution and survival status of snow leopards in the area. The aim of the study was to provide ecologic data for snow leopard conservation. |
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| Notes | Project funded by International Snow Leopard Trust Small Grants Program. | Approved | no | ||
| Call Number | SLN @ rana @ 1068 | Serial | 493 | ||
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| Author | Khatiwada, J.R.; Chalise, M.K.; Kyes, R. | ||||
| Title | Survey of Snow Leopard (Uncia uncia) and Blue Sheep (Pseudois nayaur) populations in the Kangchenjunga Conservation Area (KCA), Nepal. Final report | Type | Report | ||
| Year | 2007 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 1-13 | ||
| Keywords | survey; snow; snow leopard; snow-leopard; leopard; uncia; Uncia uncia; Uncia-uncia; blue; blue sheep; blue-sheep; sheep; Pseudois; pseudois nayaur; Pseudois-nayaur; nayaur; populations; population; conservation; area; Nepal; Report; study; information; management; system; Slims; relative abundance; abundance; transects; transect; length; sign; scrapes; scrape; 20; feces; scent; pugmarks; hairs; Hair; using; livestock; livestock depredation; livestock-depredation; depredation; patterns; herders; herder; snow leopards; snow-leopards; leopards; Animals; Animal | ||||
| Abstract | This study was carried out in the Kangchenjunga Conservation Area (KCA), Eastern Nepal from Feb – Nov 2007. We used the Snow Leopard Information Management System, SLIMS (second order survey technique) to determine the relative abundance of snow leopard in the upper part of KCA. Altogether, 36 transects (total length of 15.21 km) were laid down in the major three blocks of KCA. 104 Signs (77 scrapes, 20 feces, 2 Scent mark, 3 Pugmarks and 2 hairs) were recorded. Fixed-point count method was applied for blue sheep from appropriate vantage points. We counted total individual in each herd using 8x42 binocular and 15-60x spotting scope. A total of 43 herds and 1102 individuals were observed in the area. The standard SLIMS questionnaire was conducted to find out relevant information on livestock depredation patterns. Out of 35 households surveyed in KCA, 48% of herders lost livestock due to snow leopards. A total of 21 animals were reportedly lost due to snow leopards from August to September 2007. | ||||
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| Notes | Project funded by Snow Leopard Network's Snow Leopard Conservation Grant Program. | Approved | no | ||
| Call Number | SLN @ rana @ 1070 | Serial | 533 | ||
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| Author | Kitchener, S.L.; Meritt; Rosenthal, M. | ||||
| Title | Observations on the breeding and husbandry of snow leopards, Panthera uncia | Type | Journal Article | ||
| Year | 1975 | Publication | Int.Zoo Yearbook | Abbreviated Journal | |
| Volume | 15 | Issue | Pages | 212-217 | |
| Keywords | breeding; husbandry; behavior; captivity; zoos; zoo; browse; 3640; Adult; care; biology; growth; mortality; factor; young; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; program; park | ||||
| Abstract | Describes adult care and breeding biology, and the care, growth, and mortality factors of young snow leopards in a successful breeding program in the Lincon Park Zoo, Chicago, Illinois. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ 31 | Serial | 535 | ||
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| Author | Xu, G.,MaMing, R.,Buzzard, P.,Blank, D. | ||||
| Title | Nature reserve in Xingjiang: a snow leopard paradise or refuge for how long? | Type | Journal Article | ||
| Year | 2014 | Publication | Selevinia | Abbreviated Journal | |
| Volume | 22 | Issue | Pages | 144-149 | |
| Keywords | Snow Leopards | ||||
| Abstract | The snow leopard Uncia uncia is an endangered species, which is widely but thinly distributed throughout its range in the mountains of Central Asia. China contains as much as 60% of the snow leopard’s potential habitat and has the largest population of this species. Xinjiang is the largest province in China, covering an area of 1.66 million km² or about one-sixth of the land area of China. Xinjiang is one of the most important areas for snow leopards with much potential habitat in mountain ranges such as the north and south Tienshan and Kunlun containing almost 30% of the world’s snow leopard population. By the end of 2013, total 35 natural reserves have been established in Xinjiang, and 20 of these areas have snow leopards (Ma et al, 2013). In this paper, we report on the status of snow leopards in these protected areas and show that they play an important role in protecting snow leopards and their habitats. Then, we discuss the many problems and challenges faced by these protected areas. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1423 | ||
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| Author | Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. | ||||
| Title | Research trends and management options in human-snow leopard conflict | Type | Journal Article | ||
| Year | 2020 | Publication | Biological Conservation | Abbreviated Journal | |
| Volume | 242 | Issue | 108413 | Pages | 1-10 |
| Keywords | Snow leopards, Systematic review, Compensation, Co-existence, Livestock, Human-wildlife conflict, Mitigation | ||||
| 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1716 | ||
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| Author | Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. | ||||
| Title | Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection | Type | Journal Article | ||
| Year | 2023 | Publication | Ecological Informatics | Abbreviated Journal | |
| Volume | 77 | Issue | 102214 | Pages | 1-14 |
| Keywords | Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards | ||||
| 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1723 | ||
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| Author | Alexander, J. S., Murali, R., Mijiddorj, T. N., Agvaantseren, B., Lhamo, C., Sharma, D., Suryawanshi, K. R., Zhi, L., Sharma, K., Young, J. C. | ||||
| Title | Applying a gender lens to biodiversity conservation in High Asia | Type | Journal Article | ||
| Year | 2023 | Publication | Frontiers in Conservation Science | Abbreviated Journal | |
| Volume | Issue | Pages | 1-8 | ||
| Keywords | gender, snow leopards, pastoralism, rights, decision-making | ||||
| Abstract | Community-based conservation efforts represent an important approach to facilitate the coexistence of people and wildlife. A concern, however, is that these efforts build on existing community structures and social norms, which are commonly dominated by men. Some biodiversity conservation approaches may consequently neglect women’s voices and deepen existing inequalities and inequities. This paper presents two community case studies that draw upon the knowledge and experience gained in our snow leopard conservation practice in pastoral and agro-pastoral settings in Mongolia and India to better understand women’s roles and responsibilities. In these settings, roles and responsibilities in livestock management and agriculture are strongly differentiated along gender lines, and significant gaps remain in women’s decision-making power about natural resources at the community level. We argue that context-specific and gender-responsive approaches are needed to build community support for conservation actions and leverage women’s potential contributions to conservation outcomes. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1741 | ||
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| Author | Maming, R. | ||||
| Title | Market prices for the tissues and organs of snow leopards in China | Type | Journal Article | ||
| Year | 2012 | Publication | Selevinia | Abbreviated Journal | |
| Volume | Issue | 20 | Pages | 119-122 | |
| Keywords | trade; cases; products; prices; bazaars; snow leopards; extinction; Xinjiang | ||||
| Abstract | The population of snow leopard (Uncia uncia) is plummeting as waterfall in the last ten years. The illegal trade of snow leopard products is one of the fatal factors. The biggest range and the biggest population of snow leopard both are in China, and the largest trade is also in the country. Through questionnaires and investigation with informants from 2002 to 2012, a lot of data were collected through variety ways in different regions. In this paper 387 cases of snow leopard poaching including smuggling routes, product list, price system and product usages from Xinjiang Uygur Autonomous Region were collected for analysis and discussion. In the face of rapid development in the west of China, the results showed that our government did not try to protect the snow leopards, and the text of law was practically useless. International organizations such as WWF, WCS, IUCN, PANTHERA, SLT & SLN with SLSS were also powerless and helpless to stop snow leopard poaching and trading. As a result, the fate of the snow leopard is very bad, and this is worrying. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1395 | ||
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| Author | Ming, M. Feng, Xu. Yun, Cheng et al. | ||||
| Title | Snow Leopards in Xinjiang | Type | Book Whole | ||
| Year | 2013 | Publication | Science Press | Abbreviated Journal | |
| Volume | Issue | Pages | 1-588 | ||
| Keywords | Snow Leopards, China | ||||
| 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1391 | ||
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| Author | Sharma, Koustubh. McCarthy, Thomas. Johannson, Orjan. Ud Din, Jaffar. Bayarjargal, A. | ||||
| Title | Snow Leopards and Telemetry: Experiences and Challenges | Type | Journal Article | ||
| Year | 2010 | Publication | Telemetry in Wildlife Science | Abbreviated Journal | |
| Volume | 13 | Issue | No. 1 | Pages | 1 -5 |
| Keywords | Snow Leopards, telemetry | ||||
| 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1380 | ||
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