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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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Underwood, R. (2013). The snow leopard, and its association with the dawn of wildlife management in India. (pp. 1–10).
Abstract: As part of a project looking at the history of ‘colonial forestry’ I have been studying forest and land management in India during the period from about 1860 to 1920. The subject is of interest because the forest conservation policies and management practices developed in India at that time later became a template for early forest policies and practices in Australia (where I have worked nearly all of my life as a forester), New Zealand, South Africa and the United States of America.
An unexpected outcome of my research was to find that 19th and early 20th century Indian foresters were also deeply concerned about Indian wildlife, and that in their published writings on this issue can be discerned some of the earliest concepts of professional wildlife management.
The outcome was unexpected because a notable aspect of forestry in India in the 19th century was the widespread love of hunting wild animals, or shikar, amongst officers of the Indian Forest Service. Sometimes this was done in the line of duty, a forester being called out to dispatch a rogue elephant or a man-eating tiger. But hunting was also regarded by many (especially those who had transferred from the Army into the Forest Service) as a sport, a contest between man and beast. And despite his firepower, it was a contest in which 19th century man did not always come out on top.
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Thapa, K., Pradhan, N, M, B., Barker, J., Dhakal, M., Bhandari, A, R., Gurung, G, S., Rai, D, P., Thapa, G, J., Shrestha, S., Singh, G, R. (2013). High elevation record of a leopard cat in the Kangchenjunga Conservation Area, Nepal. Cat News, (No 58), 26–27.
Abstract: During a camera trapping survey in Khambachen valley of Kangchenjunga Conservation
Area KCA from 24 April to 26 May 2012 we camera trapped one leopard cat
Prionailurus bengalensis at an altitude of 4,474 meter. This is probably the highest
altitudinal record for the species in its range. Additionally, one melanistic leopard
Panthera pardus was captured at an altitude of 4,300 m, which is probably as well the
highest documented record in the country. Yet at this stage, no obvious reason can
explain these unusual high records for both species, thus more surveys are recommended
for this region.
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Maming, R. (2012). Market prices for the tissues and organs of snow leopards in China. Selevinia, (20), 119–122.
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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Maheshwari, A., Sharma, D., Sathyakumar, S. (2013). Snow Leopard (Panthera Uncia) surveys in the Western Himalayas, India. Journal of Ecology and Natural Environmnet, 5(10), 303–309.
Abstract: We conducted surveys above 3000 m elevation in eight protected areas of Uttarakhand and Himachal Pradesh. These surveys provide new information on snow leopard in Uttarakhand on the basis of indirect evidence such as pugmark and scat. Snow leopard evidence (n = 13) were found between 3190 and 4115 m elevation. On an average, scats (n = 09) of snow leopard were found for every 56 km walked and pugmarks (n = 04) for every 126 km walked. Altogether, about 39% of the evidence were found on the hill-slope followed by valley floor (30%), cliff (15%) and 8% from both stream bed and scree slope. Genetic analysis of the scats identified three different individuals by using snow leopard specific primers. Snow leopard-human conflicts were assessed through questionnaire based interviews of shepherds from Govind Pashu Vihar Wildlife Sanctuary, Askot Wildlife Sanctuary and Nanda Devi Biosphere Reserve areas of Uttarakhand. Surveys revealed that livestock depredation (mule, goat and sheep) is the only cause of snow leopard-human conflicts and contributed 36% of the diet of snow leopard. Blue sheep and rodents together comprised 36.4% of the total diet. We found that 68.1% of the surveyed area was used for pastoral activities in Uttarakhand and Himachal Pradesh and 12.3% area was under tourism, defence and developmental activities.
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Lyngdoh, S., Shrotriya, S., Goyal, S. P., Clements, H., Hayward, M. W., Habib, B. (2014). Prey Preferences of the Snow Leopard (Panthera uncia): Regional Diet Specificity Holds Global Significance for Conservation. Plos One, 9(2), 1–11.
Abstract: The endangered snow leopard is a large felid that is distributed over 1.83 million km2 globally. Throughout its range it relies on a limited number of prey species in some of the most inhospitable landscapes on the planet where high rates of human persecution exist for both predator and prey. We reviewed 14 published and 11 unpublished studies pertaining to snow leopard diet throughout its range. We calculated prey consumption in terms of frequency of occurrence and biomass consumed based on 1696 analysed scats from throughout the snow leopard’s range. Prey biomass consumed was calculated based on the Ackerman’s linear correction factor. We identified four distinct physiographic and snow leopard prey type zones, using cluster analysis that had unique prey assemblages and had key prey characteristics which supported snow leopard occurrence there. Levin’s index showed the snow leopard had a specialized dietary niche breadth. The main prey of the snow leopard were Siberian ibex (Capra sibrica), blue sheep (Pseudois nayaur), Himalayan tahr (Hemitragus jemlahicus), argali (Ovis ammon) and marmots (Marmota spp). The significantly preferred prey species of snow leopard weighed 5565 kg, while the preferred prey weight range of snow leopard was 36–76 kg with a significant preference for Siberian ibex and blue sheep. Our meta-analysis identified critical dietary resources for snow leopards throughout their distribution and illustrates the importance of understanding regional variation in species ecology; particularly prey species
that have global implications for conservation.
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Ale, S., Shrestha, B., and Jackson, R. (2014). On the status of Snow Leopard Panthera Uncia (Schreber 1775) in Annapurna, Nepal. Journal of Threatened Taxa, (6(3)), 5534–5543.
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Ferretti, F., Lovari, S., Minder, I., Pellizzi, B. (2014). Recovery of the snow leopard in Sagarmatha (Mt.Everest) National Park: effects on main prey. European Journal of Wildlife Research, (60), 559–562.
Abstract: Consequences of predation may be particularly
heavy on small populations of herbivores, especially if they
are threatened with extinction. Over the 2006–2010 period, we
documented the effects of the spontaneous return of the endangered
snow leopard on the population of the vulnerable
Himalayan tahr. The study area was an area of central
Himalaya where this cat disappeared c. 40 years before, because
of persecution by man. Snow leopards occurred mainly
in areas close to the core area of tahr distribution. Tahr was the
staple (56.3 %) of snow leopards. After the arrival of this cat,
tahr decreased by more than 2/3 from 2003 to 2010 (mainly
through predation on kids). Subsequently, the density of snow
leopards decreased by 60%from2007 to 2010. The main prey
of snow leopards in Asia (bharal, marmots) were absent in our
study area, forcing snow leopards to specialize on tahr. The
restoration of a complete prey spectrum should be favoured
through reintroductions, to conserve large carnivores and to
reduce exploitation of small populations of herbivores, especially
if threatened.
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Bohnett, E., Faryabi, S. P., Lewison, R., An, L., Bian, X., Rajabi, A. M., Jahed, N., Rooyesh, H., Mills, E., Ramos, S., Mesnildrey, N., Perez, C. M. S., Taylor, J., Terentyev, V., Ostrowski, S. (2023). Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies. Global Ecology & Conservation, 41(e02350), 1–13.
Abstract: Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates.
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Maheshwari, A., Sathyakumar, S. (2019). Snow leopard stewardship in mitigating human-wildlife conflict in Hemis National Park, Ladakh, India. Human Dimensions of Wildlife, , 1–5.
Abstract: Among large predators, snow leopards (Panthera uncia) and co-predators (e.g., wolves
Canis lupus, lynx Lynx lynx) often cause economic losses, engendering animosity from
local communities in the mountain ecosystem across south and central Asia (Din et al.,
2017; Jackson & Lama, 2016; Maheshwari, Takpa, Kujur, & Shawl, 2010; Schaller, 2012).
These economic losses range from around US $50 to nearly $300 per household,
a significant sum given per capita annual incomes of $250 – $400 (Jackson & Wangchuk,
2004; Mishra, 1997). Recent efforts such as improved livestock husbandry practices
(predator-proof livestock corrals – closed night shelters with covered roof with wiremesh
and a closely fitting iron or wooden door that can be securely locked at night) and
community-based ecotourism (e.g., home stays, guides, porters, pack animals, campsites)
are providing alternative livelihood opportunities and mitigating large carnivores – human
conflict in the snow leopard habitats (Hanson, Schutgens, & Baral, 2018; Jackson, 2015;
Jackson & Lama, 2016; Vannelli, Hampton, Namgail, & Black, 2019). Snow leopard-based
ecotourism provides an opportunity to secure livelihoods and reduce poverty of the
communities living in ecotourism sites across Ladakh (Chandola, 2012; Jackson, 2015).
To understand the role of snow leopard-based ecotourism in uplifting the financial profile
of local communities, mitigating large carnivore – human conflict and eventually changing
attitudes towards large carnivores in Hemis National Park, Ladakh, India, we compared
the estimated financial gains of a snow leopard-based ecotourism to stated livestock
predation losses by snow leopards and wolves.
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