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Author |
Worley, M.B. |
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Title |
Chronic liver disease in snow leopards: A possible viral etiology |
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Book Chapter |
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Year |
1982 |
Publication |
International Pedigree Book of Snow Leopards, Vol. 3 |
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3 |
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131-133 |
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Keywords |
captive; Chronic; Disease; etiology; International; Liver; pedigree; snow-leopard; snow-leopards; snow leopard; snow leopards; veterinary; Viral; zoo |
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Helsinki Zoo |
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Helsinki |
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Blomqvist, L. |
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SLN @ rana @ 1046 |
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1030 |
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Author |
Jackson, R.; Wangchuk, R. |
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Title |
A Community-Based Approach to Mitigating Livestock Depredation by Snow Leopards |
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Miscellaneous |
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Year |
2004 |
Publication |
Human Dimensions of Wildlife |
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9 |
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307-315 |
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Keywords |
snow leopard,depredation,human-wildlife conflict,participatory planning,India; livestock; livestock depredation; livestock-depredation; depredation; endangered; snow; snow leopard; snow-leopard; leopard; panthera; panthera uncia; Panthera-uncia; uncia; Himalayan; protected; protected areas; protected area; protected-areas; protected-area; areas; area; attack; sheep; goats; goat; local; villagers; community-based; conservation; Hemis; national; national park; National-park; park; India; conflict; pens; income; participatory; strategy; planning; sense; project; snow leopards; snow-leopards; leopards; protection; retaliatory; poaching |
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Livestock depredation by the endangered snow leopard (Panthera uncia) is an increasingly contentious issue in Himalayan villages, especially in or near protected areas. Mass attacks in which as many as 100 sheep and goats are killed in a single incident inevitably result in retaliation by local villagers. This article describes a community-based conservation initiative to address this problem in Hemis National Park, India. Human-wildlife conflict is alleviated by predator-proofing villagers' nighttime livestock pens and by enhancing household incomes in environmentally sensitive and culturally compatible ways. The authors have found that the highly participatory strategy described here (Appreciative Participatory Planning and Action-APPA) leads to a sense of project ownership by local stakeholders, communal empowerment, self-reliance, and willingness to co-exist with
snow leopards. The most significant conservation outcome of this process is the protection from retaliatory poaching of up to five snow leopards for every village's livestock pens that are made predator-proof. |
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SLN @ rana @ 890 |
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471 |
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Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. |
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Title |
Camera-Trapping of Snow Leopards |
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Journal Article |
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Year |
2005 |
Publication |
Cat News |
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42 |
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Spring |
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19-21 |
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Keywords |
camera trapping; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; felids; tigers; tiger; techniques; surveys; survey; information; factor; marking; behavior; Ahlborn; Jackson; habitat; status; range; census; India; Hemis; High; national; national park; National-park; park; Ladakh; leh |
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Solitary felids like tigers and snow leopards are notoriously difficult to enumerate, and indirect techniques like pugmark surveys often produce ambiguous information that is difficult to interpret because many factors influence marking behavior and frequency (Ahlborn & Jackson 1988). Considering the snow leopard's rugged habitat, it is not surprising then that information on its current status and occupied range is very limited. We adapted the camera-trapping techniques pioneered by Ullas Karanth and his associates for counting Bengal tigers to the census taking of snow leopards in the Rumbak watershed of the India's Hemis High Altitude National Park (HNP), located in Ladakh near Leh (76ø 50' to 77ø 45' East; 33ø 15' to 34ø 20'North). |
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SLN @ rana @ 1017 |
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475 |
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Author |
Jiang, Z. |
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Title |
Snow leopards in the Dulan International Hunting Ground, Qinghai, China |
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Report |
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2005 |
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1-8 |
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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 |
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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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Project funded by International Snow Leopard Trust Small Grants Program. |
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SLN @ rana @ 1068 |
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493 |
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. |
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Title |
Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection |
Type |
Journal Article |
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Year |
2023 |
Publication |
Ecological Informatics |
Abbreviated Journal |
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Volume |
77 |
Issue |
102214 |
Pages |
1-14 |
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Keywords |
Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards |
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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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SLN @ rakhee @ |
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1723 |
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Author |
Ming, M. Feng, Xu. Yun, Cheng et al. |
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Title |
Snow Leopards in Xinjiang |
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Book Whole |
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Year |
2013 |
Publication |
Science Press |
Abbreviated Journal |
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1-588 |
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Keywords |
Snow Leopards, China |
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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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1391 |
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. |
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Title |
Research trends and management options in human-snow leopard conflict |
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Journal Article |
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2020 |
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Biological Conservation |
Abbreviated Journal |
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242 |
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108413 |
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1-10 |
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Snow leopards, Systematic review, Compensation, Co-existence, Livestock, Human-wildlife conflict, Mitigation |
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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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Alexander, J. S., Murali, R., Mijiddorj, T. N., Agvaantseren, B., Lhamo, C., Sharma, D., Suryawanshi, K. R., Zhi, L., Sharma, K., Young, J. C. |
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Applying a gender lens to biodiversity conservation in High Asia |
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2023 |
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Frontiers in Conservation Science |
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1-8 |
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gender, snow leopards, pastoralism, rights, decision-making |
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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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Sharma, Koustubh. McCarthy, Thomas. Johannson, Orjan. Ud Din, Jaffar. Bayarjargal, A. |
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Title |
Snow Leopards and Telemetry: Experiences and Challenges |
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2010 |
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Telemetry in Wildlife Science |
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13 |
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No. 1 |
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1 -5 |
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Snow Leopards, telemetry |
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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 . Feng, Xu. Yun, Cheng et al. |
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Title |
Snow Leopards in Xinjiang |
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2013 |
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Science Press |
Abbreviated Journal |
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1-588 |
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Snow Leopards, China |
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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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