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Dexel, B. |
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Title |
The illegal trade in snow leopards – a global perspective |
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Miscellaneous |
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2003 |
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International Pedigree Book of Snow Leopards |
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8 |
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5-17 |
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conservation; german; Germany; global; illegal; illegal-trade; leopard; leopards; nature; nature conservation; project; snow; snow-leopard; snow-leopards; snow leopard; snow leopard project; snow leopards; trade |
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Coordinator Snow Leopard Project, German Society for Nature Conservation, Berlin, Germany. Email: birga.dexel@nabu.de |
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SLN @ rana @ 916 |
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240 |
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Dyikanova, C. |
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A public awareness outreach programme on Snow Leopards for the Kyrgyz Republic, Final Report |
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2004 |
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project; awareness; local; local people; people; staff; Base; snow; snow leopard; snow-leopard; leopard; conservation; ecology; threats; threat; Kyrgyzstan; regional; areas; area; public; snow leopards; snow-leopards; leopards; Kyrgyz; Kyrgyz-Republic; republic; Report; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; community |
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The principle goal of the project was to raise awareness of local people, staff of frontier posts,
customs and foreign military base on snow leopard, and its conservation. In the framework of the
project the following steps were to be executed:
A) To disseminate printing materials: a booklet, poster, card and calendar.
b) To publish articles on snow leopard ecology and conservation issues and threats in
Kyrgyzstan regional newspapers (Issyk-Kul, Osh, and Chui areas)
C) To hold follow-up meeting with target groups
D) To evaluate project results |
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Project funded by International Snow Leopard Trust Small Grants Program. Community and Business Forum, Bishkek, Kyrgyzstan. |
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SLN @ rana @ 1066 |
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248 |
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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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Journal Article |
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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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SLN @ rakhee @ |
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1380 |
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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 |
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2023 |
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Ecological Informatics |
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77 |
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102214 |
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1-14 |
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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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1723 |
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. |
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Research trends and management options in human-snow leopard conflict |
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2020 |
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Biological Conservation |
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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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1716 |
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Author |
Ming, M. |
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A diary of infrared photography |
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Journal Article |
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2008 |
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Man & the Biosphere |
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54 |
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6 |
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26-35 |
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photography; us; snow; snow leopard; snow-leopard; leopard; Tianshan Mountains; mountains; mountain; work; field; field survey; field-survey; survey; snow leopards; snow-leopards; leopards; Kunlun; Chinese |
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The vivid and interesting stories recorded by the diary which is written by the professor Ma Ming tell us specific details of surveying Snow Leopard in the Tianshan Mountains. The members of the team overcame all kinds of difficulties and dangers with persistent enthusiasm for this work, finally, satisfactorily finishing the field survey. Recently, Ma Ming just has accomplished the preliminary investigation of snow leopards in Kunlun Mountains. If you want to share the experience of the surveying, please read this diary (http://maming3211.blog.163.com).
http://space.tv.cctv.com/act/video.jsp?videoId=VIDE1230446448556286 http://maming3211.blog.163.com/blog/static/109271612008112681931339/ |
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In Chinese |
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SLN @ rana @ 980 |
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686 |
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Author |
Ale S. |
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Have snow leopards made a comeback to the Everest region of Nepal? |
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2005 |
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1-21 |
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snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; region; Nepal; Report; International; international snow leopard trust; International-Snow-Leopard-Trust; trust; program; 1960; endangered; Sagarmatha; High; Himalaya; tourism; impact; establishment; national; national park; National-park; park; 1980; area; Tibet; surveys; survey; status; Cats; cat; prey; research; project; sign; transects; transect; length; valley; Response; hunting; recovery; Himalayan; tahr; density; densities; range; pugmarks; sighting; 60; study; population; predators; predator; structure; prey species; prey-species; species; populations; mortality; effects; predation; population dynamics |
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In the 1960s, the endangered snow leopard was locally extirpated from the Sagarmatha (Mt. Everest) region of Nepal. In this Sherpa-inhabited high Himalaya, the flourishing tourism since the ascent of Mt Everest in 1953, has caused both prosperity and adverse impacts, the concern that catalyzed the establishment of Mt. Everest National Park in the region in 1976. In the late 1980s, there were reports that some transient snow leopards may have visited the area from adjoining Tibet, but no biological surveys exist to confirm the status of the cats and their prey. Have snow leopards finally returned to the top of the world? Exploring this question was the main purpose of this research project. We systematically walked altogether 24 sign transects covering over 13 km in length in three valleys, i.e. Namche, Phortse and Gokyo, of the park, and counted several snow leopard signs. The results indicated that snow leopards have made a comeback in the park in response to decades of protective measures, the virtual cessation of hunting and the recovery of the Himalayan tahr which is snow leopard's prey. The average sign density (4.2 signs/km and 2.5 sign sites/km) was comparable to that reported from other parts of the cats' range in the Himalaya. On this basis, we estimated the cat density in the Everest region between 1 to 3 cats per 100 sq km, a figure that was supported by different sets of pugmarks and actual sightings of snow leopards in the 60 km2 sample survey area. In the study area, tahr population had a low reproductive rate (e.g. kids-to-females ratio, 0.1, in Namche). Since predators can influence the size and the structure of prey species populations through mortality and through non-lethal effects or predation risk, snow leopards could have been the cause of the population dynamics of tahr in Sagarmtha, but this study could not confirm this speculation for which further probing may be required. |
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Progress report for the International Snow Leopard Trust Small Grants Program. |
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SLN @ rana @ 1063 |
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50 |
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Xu, G.,MaMing, R.,Buzzard, P.,Blank, D. |
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Nature reserve in Xingjiang: a snow leopard paradise or refuge for how long? |
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2014 |
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Selevinia |
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22 |
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144-149 |
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Snow Leopards |
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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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1423 |
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Maming, R. |
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Market prices for the tissues and organs of snow leopards in China |
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2012 |
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Selevinia |
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119-122 |
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trade; cases; products; prices; bazaars; snow leopards; extinction; Xinjiang |
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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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1395 |
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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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2013 |
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Science Press |
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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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