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Ale, S., Thapa, K., Jackson, R., Smith, J.L.D. (2010). The fate of snow leopards in and around Mt. Everest. Cat News, 53(Autumn), 19–21.
Abstract: Since the early 2000s snow leopards Panthera uncia have re-colonized the southern slopes of Mt. Everest after several decades of extirpation. Are they now beginning to disperse to the adjoining valleys that may serve as habitat corridors linking the Everest region to other protected areas in Nepal? We conducted a cursory survey in autumn 2009 in Rolwaling lying west of Mt. Everest and detected snow leopard presence. We conclude that in these remote valleys snow leopards must rely upon livestock given the low abundance of natural prey, Himalayan tahr. Livestock-rearing is unfortunately declining in the region. Rolwaling requires immediate conservation attention for the continued survival of the endangered snow leopard and other high altitude flora and fauna.
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Khatoon, R., Hussain, I., Anwar, M., Nawaz, M. A. (2017). Diet selection of snow leopard (Panthera uncia) in Chitral, Pakistan. Turkish Journal of Zoology, (14), 914–923.
Abstract: Snow leopard (Panthera uncia) is an elusive endangered carnivore found in remote mountain regions of Central Asia, with
sparse distribution in northern Pakistan, including Chitral and Baltistan. The present study determined the food habits of snow leopard,
including preferred prey species and seasonal variation in diet. Fifty-six scat samples were collected and analyzed to determine the
diet composition in two different seasons, i.e. summer and winter. Hair characteristics such as cuticular scale patterns and medullary
structure were used to identify the prey. This evidence was further substantiated from the remains of bones, claws, feathers, and other
undigested remains found in the scats. A total of 17 prey species were identified; 5 of them were large mammals, 6 were mesomammals,
and the remaining 6 were small mammals. The occurrence of wild ungulates (10.4%) in the diet was low, while livestock constituted a
substantial part (26.4%) of the diet, which was higher in summer and lower in winter. Mesomammals altogether comprised 33.4% of
the diet, with palm civet (Paguma larvata) as a dominant (16.8%) species, followed by golden marmot (Marmota caudate) (8.8%), which
was higher in winter. There was a significant difference in seasonal variation in domestic livestock and small mammals. The livestock
contribution of 26.4% observed in the present study indicates a significant dependence of the population on livestock and suggests
that the study area is expected to be a high-conflict area for snow leopards. The results of the current study would help improve the
conservation efforts for snow leopards, contributing to conflict resolution and effective management of this endangered cat.
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Wildlife Times. (2011). Wildlife Times.(November).
Abstract: Snow Leopard Count – A census of Snow Leopard has started in Mustang District, Nepal
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Nowell, K., Li, J., Paltsyn, M., Sharma, R. K. (2016). An ounce of prevention: Snow Leopard Crime Revisited.
Abstract: Snow Leopard poaching and trafficking – referred to herein as Snow Leopard crime – is revisited 13 years after TRAFFIC’s first report on the subject, Fading Footprints: The Killing and Trade of Snow Leopards (Theile, 2003). This report builds on a preliminary analysis published in May 2016 (Maheshwari and von Meibom, 2016). It addresses a major information gap concerning the linkage between retaliatory killing for livestock depredation and poaching for trade, and the scale at which both are taking place. The focus is on 12 Snow Leopard range countries: Afghanistan, Bhutan, China, India, Kazakhstan, the Kyrgyz Republic, Mongolia, Nepal, Pakistan, Russia, Tajikistan and Uzbekistan. There is little evidence of illegal trade in Snow Leopards outside these countries.
Two sets of data were developed in the research for this report. The first is a Snow Leopard crime database containing records of seizures (legal actions taken by government authorities) and observations (reports of Snow Leopard killing, capture or trade, including market surveys). The database contains records dating back to 1989 (which are discussed in Annex 1), but the analysis focuses on the period since the release of Fading Footprints, the first TRAFFIC report: 2003-June 2016. Seizures are a function of law enforcement effort, effectiveness and publicization, as well as the magnitude of illegal trade, and so observations are an important component of the analysis, particularly for countries where few seizures are made or reported. However, detailed observations are not regularly published, and may be are biased toward countries where there is more effort, so a simple multiple choice survey was designed for Snow Leopard experts. Completed by 42 of them in 2016, and covering all 12 range countries, the survey asked experts for their total number of known cases, case outcomes, and reasons for killing Snow Leopards.
Based on the average number of cases known to experts over the average of nine years spent working in their geographic areas of knowledge, 221-450 Snow Leopards were estimated to have been poached annually since 2008. With the average rate of poaching detection estimated by experts at less than 38%, these numbers could be substantially higher. Of these, 55% are killed in retaliation for livestock depredation, 21% killed for trade and 18% taken by non-targeted methods such as snares. Although retaliatory killing is estimated to account for roughly half of Snow Leopard poaching (55%), experts estimate that there is a 50-50 chance (48%) that a poaching attempt will take place after a depredation incident. On average, experts estimate that 60% of retaliatory and non-targeted poaching incidents result in an attempt to sell; accounting for differences in this estimate between countries, a total of 108-219 Snow Leopards potentially enter into illegal trade. Over 90% of annual Snow Leopard poaching is estimated to occur in five range countries: China (103-236), Mongolia (34-53), Pakistan (23-53), India (21-45) and Tajikistan (20-25).
Given the uncertainties about population numbers, as well as the low rate of poaching detection, it is difficult to assess the impact of this offtake on the viability of the species. Snow Leopard range is used as a proxy for Snow Leopard population numbers; most national Snow Leopard population estimates are derived from extrapolating study site densities across likely range. Although China had by far the highest number of seizures and observations (309 Snow Leopards from 2003-2016) and the highest annual poaching estimate, its share of Snow Leopard crime was not disproportionate to its large share (at least 60%) of Snow Leopard range. Countries flagged for having disproportionate shares of crime levels relative to share of range included Afghanistan and Russia (seizures and observations), and Nepal and Pakistan (annual poaching estimates). China and Russia were most frequently identified as destinations for animals poached in other countries.
The expert survey indicates that the scale of Snow Leopard crime is more serious than apparent from the annual average number of Snow Leopard seized (18) or observed (34) from 2003-2016. This could be in part due to the challenges of law enforcement in the Snow Leopard’s remote montane habitat. Indeed, the survey found that an average of 23% of known cases were investigated by authorities, and only 14% prosecuted.
The minimum number of Snow Leopards in the seizures and observations database fell by 43% from the first half of the analysis period (2003-2009) compared to the second (2010-June 2016) (from 451 to 259). However, the decline was in the number of Snow Leopards observed in trade and in market surveys, which fell by 80% (from 280 to 54), with the largest decline taking place in China. There were more market surveys in the first half of the analysis period (13) than the second (5), but they
TRAFFIC report: An Ounce Of Prevention: Snow Leopard Crime Revisited xi
were repeated in the same places (Kabul, Afghanistan and cities in western China), and far fewer skins were seen (for example, 60 skins in the Chinese city of Linxia in 2007, compared to one in 2011). The numbers of Snow Leopards in other observations were roughly equivalent for the two periods (108 in the first and 100 in the second), but the numbers in trade observations fell by 46% (from 52 to 28). Otherwise, the number of Snow Leopards seized rose by 16% (from 115 to 133), and the number of individual seizure cases rose by 77% (from 44 to 78). The number of poached Snow Leopards seized doubled (from 31 to 60), and the observed number of poached Snow Leopards also increased by 14% (from 56 to 64). The number of Snow Leopards in trade seizures was the same in both periods (55), and the number smuggled roughly equivalent (29 seized in the first period, and 24 seized and observed in the second).
There are three possible interpretations of this situation of rising numbers of Snow Leopards poached (as measured by seizures and observations), steady numbers in smuggling and trade seizures, and steeply declining numbers in trade observations and market surveys. It could be that the limitations of available data and the authors’ inability to collect all of it has resulted in an incorrect picture. It is apparent that illegal trade has become more clandestine and difficult to detect in most countries, so that secondly, it could be increasing, as indicated by the apparent rise in poaching numbers. However, the number of Snow Leopards seized in large cases (more than 3 Snow Leopards per case), indicative of organized trafficking activity, declined from 60 in the 2003-2009 to 23 in 2010-2016. This points to a third possibility: that trade (and perhaps demand) is declining, possibly due to increased enforcement, but local people continue to opportunistically sell Snow Leopards they poached primarily to protect livestock.
With skins being the main Snow Leopard product type in trade (78%), the primary motive for buyers appears to be for display, with some observations of skins hanging on walls in homes and restaurants, as well as stuffed taxidermy specimens. Priced in the thousands of US dollars, skins have been described as a “symbol of wealth and power.” However, there probably exists very little in the way of a definable consumer segment deliberately seeking out such items. They are most likely purchased opportunistically – “impulse buys” – and most consumers probably only buy one in their lifetime. Once in a home, the illegal possession has very low probability of detection, and moreover law enforcement authorities may be reluctant to investigate in such situations. The purchase itself also has a low probability of detection, as indicated by the sharp decline in observed numbers of Snow Leopard skins being offered for sale. While growing personal wealth in Asia has been highlighted as a primary driver of illegal wildlife trade, poverty is also recognized as a driver, and the Snow Leopard trade may be more driven by rural people in Snow Leopard habitat attempting to make money and make up for livestock losses to predators than by wealthy people placing orders for luxury household decorations. Unlike the demand-driven Tiger trade (Annex 2), to which it otherwise bears many similarities, the market for Snow Leopards may be more a function of supply, and actions should focus on the communities living near Snow Leopards to reduce incentives to poach and sell. This notion is reflected in the aphorism behind the title of this report: an ounce of prevention equals a pound of cure. Preventing livestock losses, offsetting the costs of losses and improving community support for Snow Leopard conservation are the most important approaches to tackling the problem of Snow Leopard trafficking.
Recommendations focus on addressing the leading cause of Snow Leopard poaching (retaliatory killing/Human-Wildlife Conflict) as well as measures to stem illegal trade, and are primarily targeted at the 12 Snow Leopard range countries. They are aligned with existing recommendations and planned actions, including CITES recommendations, draft Decisions and consultant’s reports around implementation of Resolution Conf. 12.5 (CITES 2015, 2016; Nowell and Pervushina, 2014); the Global Snow Leopard and Ecosystem Protection Program (GSLEP, 2013, 2015, n.d.); the SLN’s Snow Leopard Survival Strategy (SLN, 2014); and WWF’s Snow Leopard Species Action Plan (WWF, 2015 and Sharma, 2016). There was also an informal discussion about recommendations to address poaching and illegal trade at the Second China Snow Leopard Forum, held in Urumqi, Xinjiang province 24-26 August 2016 (B. Weckworth, Panthera, pers. comm.).
Recommendations are grouped according to four primary actors in Snow Leopard conservation: 1) governments of Snow Leopard range countries; 2) communities living in Snow Leopard range; 3) conservation organizations and Snow Leopard experts; and 4) donor governments and agencies.
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Snow Leopard Conservancy. (2011). Snow Leopard Scouts from Mt. Everest (Anil Adhikari & Basu Kshitiz, Ed.). Callifornia, US: Author.
Abstract: Snow Leopard Scouts from Mt. Everest -- a sketch booklet – targeted to school students, their parents and other stakeholders to generate their interest on conservation. Because it is their effort, participating students are expected to share the booklet that vividly illustrates their own contributions -- with their parents, teachers, fellow villagers, and cohorts in the other schools. Note that all participants, snow leopard scouts, took part in outdoor activities – they were exposed to snow leopard habitat, encouraged to observe Himalayan tahr and other wildlife, and were engaged in nature debates, essay writings, a quiz contest, and wildlife drawings – all formed the basis for preparing this simple (trial) booklet – all materials for the booklet came from participating students.
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Ghoshal, A. (2017). Snow Leopard Ecology and Conservation Issues in India. Resonance, , 677–690.
Abstract: Snow leopard, an elusive mammal species of the cat family,
is the top-predator of the Central and South Asian, highaltitude
ecosystem. Snow leopards occur at low densities across
the Central Asian mountains and the Indian Himalayan region.
Owing to their secretive nature and inaccessible habitat,
little is known about its ecology and distribution. Due to
its endangered status and high aesthetic value, the snow leopard
is considered as an �umbrella species� for wildlife conservation
in the Indian Himalayas. This article summarizes the
current knowledge on snow leopard ecology and conservation
issues in the Indian context.
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Janjua, S., Peters, J. L., Weckworth, B., Abbas, F. I., Bahn, Volker, Johansson, O., Rooney, T.P. (2019). Improving our conservation genetic toolkit: ddRAD-seq for SNPs in snow leopards. Conservation Genetic Resource, .
Abstract: Snow leopards (Panthera uncia) are an enigmatic, high-altitude species whose challenging habitat, low population densities
and patchy distribution have presented challenges for scientists studying its biology, population structure, and genetics.
Molecular scatology brings a new hope for conservation efforts by providing valuable insights about snow leopards, including
their distribution, population densities, connectivity, habitat use, and population structure for assigning conservation units.
However, traditional amplification of microsatellites from non-invasive sources of DNA are accompanied by significant
genotyping errors due to low DNA yield and poor quality. These errors can lead to incorrect inferences in the number of
individuals and estimates of genetic diversity. Next generation technologies have revolutionized the depth of information
we can get from a species' genome. Here we used double digest restriction-site associated DNA sequencing (ddRAD-seq),
a well-established technique for studying non-model organisms, to develop a reference sequence library for snow leopards
using blood samples from five Mongolian individuals. Our final data set reveals 4504 loci with a median size range of 221 bp.
We identified 697 SNPs and low nucleotide diversity (0.00032) within these loci. However, the probability that two random
individuals will share identical genotypes is about 10-168. We developed probes for DNA capture using this sequence library
which can now be used for genotyping individuals from scat samples. Genetic data from ddRAD-seq will be invaluable for
conducting population and landscape scale studies that can inform snow leopard conservation strategies.
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Richardson, N. (2010, 16 Dec 2010). The snow leopard: ghost of the mountains. The telegraph.
Abstract: Snow leopards face the threats of poaching, habitat loss and diminishing prey. In remotest Mongolia, a research team is keeping tabs on this iconic and elusive species.
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Murali, R., Lkhagvajav, P., Saeed, U., Kizi, V. A., Nawaz, M. A., Bhatnagar, Y. V., Sharma, K., Mishra, C. (2017). VALUATION OF ECOSYSTEM SERVICES IN SNOW LEOPARD LANDSCAPES OF ASIA.
Abstract: Snow leopards occur in Asia�s high mountain ranges of the Himalayas, Hindu Kush, Karakoram, Pamir, Tien Shan, Kunlun, Altai and Sayan. In all the 12 countries where they occur, snow leopards face intensifying threats to their survival, including habitat fragmentation and degradation due to increasing human populations, mining and developmental projects, poaching and illegal wildlife trade, weak law enforcement, inadequate involvement of local people in conservation efforts, and depletion of natural prey populations due to hunting by people and overgrazing by livestock.
To address the urgent needs of conservation of the snow leopard and the sustainable development of mountain peoples, the Governments of snow leopard range countries came together and agreed to invest efforts to conserve snow leopards in 23 large landscapes across its range under the Global Snow Leopard Ecosystem Protection Program (GSLEP).
These landscapes where the snow leopards occur are inhabited by agro-pastoral and pastoral peoples who depend on well functioning ecosystems for ecosystem services, i.e., the benefits that humans derive from nature. Many threats that impact snow leopards also impact the well-being of people living in these landscapes. However, till date, there have been no studies that have attempted to quantify peoples� dependence on ecosystem services in snow leopard landscapes, or understand the impacts that alternate land-use decisions such as mining or infrastructure can have on the ecosystem services and on the local people who are dependent on them.
In this report, we provide the first assessment of the economic value of provisioning ecosystem services � the material goods from ecosystems � used by local people in five study sites from four GSLEP landscapes: Spiti Valley and Changtang region of Ladakh in India�s Hemis-Spiti Landscape, Gurez Valley in the Himalayan Landscape of Pakistan, Tost Nature Reserve in the South Gobi Landscape of Mongolia, and the Sarychat region in the Central Tien Shan Landscape of Kyrgyzstan. In study sites that had both pastoral and agro-pastoral communities, we estimated ecosystem services separately for the two production systems.The average value (± SE) of ecosystem services per household amongst the agro-pastoral
communities of Gurez Valley (4125 ± 190 USD/HH/yr) was 2.5 times the average local household income. In the agro-pastoral communities of Spiti Valley (3964 ± 334.8 USD/HH/yr) it was 3.6 times the average local household income, while it was 3.7 times amongst the agro-pastoral communities of Changtang (15083 ± 1656 USD/HH/yr). Amongst the pastoral communities, the value of ecosystem services used by households was several times higher than the average household income: it was 26.1 times amongst the pastoral communities of Changtang (79303 ± 9204 USD HH/yr), 38.7 times among communities in Tost Nature Reserve (150100 ± 13290 USD/HH/yr), and 7.4 times among the pastoral communities of Sarychat (25473 ± 5236 USD/HH/yr). It was lower, although still substantial at 0.6 times, for the downstream agro-pastoral communities living outside the landscape boundary in Sarychat (2094 ± 189 USD/HH/yr).
Our work reveals substantially high levels of dependence of local communities on ecosystem services provided by snow leopard landscapes of Asia. The estimated economic value of provisioning ecosystem services used by human households in these landscapes ranged from 0.6 to up to 40 times the local annual household incomes. This economic support that nature provides people is critical for humanity but remains hidden and unaccounted for. Land use change decisions, especially those that are damaging for nature and biodiversity, must start accounting for the value of ecosystem services in their cost-benefit analyses.
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McCarthy, T., Murray, K., Sharma, K., & Johansson, O. (2010). Preliminary results of a long-term study of snow leopards in South Gobi, Mongolia. Cat News, Autumn(53), 15–19.
Abstract: Snow leopards Panthera uncia are under threat across their range and require urgent conservation actions based on sound science. However, their remote habitat and cryptic nature make them inherently difficult to study and past attempts have provided insufficient information upon which to base effective conservation. Further, there has been no statistically-reliable and cost-effective method available to monitor snow leopard populations, focus conservation effort on key populations, or assess conservation impacts. To address these multiple information needs, Panthera, Snow Leopard Trust, and Snow Leopard Conservation Fund, launched an ambitious long-term study in Mongolia’s South Gobi province in 2008. To date, 10 snow leo-pards have been fitted with GPS-satellite collars to provide information on basic snow leopard ecology. Using 2,443 locations we calculated MCP home ranges of 150 – 938 km2, with substantial overlap between individuals. Exploratory movements outside typical snow leopard habitat have been observed. Trials of camera trapping, fecal genetics, and occupancy modeling, have been completed. Each method ex-hibits promise, and limitations, as potential monitoring tools for this elusive species.
Keywords: snow leopard, Mongolia, monitor, population, Panthera, Snow Leopard Trust, Snow Leopard Conservation Fund, South Gobi, ecology, radio collar, GPS-satellite collar, home range, camera trapping, fecal genetics, occupancy modeling
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