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Farrington, J., Tsering, D. (2019). Human-snow leopard conflict in the Chang Tang region of Tibet, China. Biological Conservation, 237, 504–513.
Abstract: In April 2006, the authors conducted a preliminary human-wildlife conflict survey of 300 livestock herders in Shainza, Nyima, and Tsonyi Counties in northern Tibet's sparsely-populated Chang Tang region. This survey revealed a widespread but previously undocumented problem of snow leopard predation on livestock. In June and July 2007, an exploratory human-snow leopard conflict survey of 234 herders in the above counties found that 65.8% of respondents had experienced conflict with snow leopards in the form of livestock kills, with 77.3% of the most recent incidents occurring in the previous five years. These incidents were concentrated in winter and spring and a surprising 39.6% of incidents occurred during the day, often with herders present. Fifteen exploratory snow leopard sign transects totaling 14.85 km were conducted. Abundant snow leopard scrapes as well as pug marks were found, confirming the presence of these secretive cats. A total of 521 blue sheep were counted on and off sign transects indicating widespread availability of wild snow leopard prey. The recent surge in reported snow leopard conflict is likely due to increasing human and livestock populations, establishment of two multiple-use nature reserves accompanied by improved enforcement of wildlife protection laws, and a regional gun and trap ban launched in 2001. However, retaliatory killing of snow leopards in the survey area continues to be a potential threat. Therefore, measures are needed to reduce livestock kills by snow leopards, including corral improvements, improved guarding, establishment of livestock compensation schemes, and educating herders about snow leopard behavior.
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Vannelli, K., Hampton, M. P., Namgail, T., Black, S. A. (2019). Community participation in ecotourism and its effect on local
perceptions of snow leopard (Panthera uncia) conservation. Human Dimensions of Wildlife, , 1–14.
Abstract: Local support and involvement is often essential for effective
wildlife conservation. This study assessed the impact of local
involvement in ecotourism schemes on perceptions of wildlife, promotion
of conservation action, types of values that communities placed on
wildlife, and contexts in which wildlife are considered to be most
valuable. The study used qualitative semi-structured interviews
conducted in seven villages in Ladakh, India, which is an important
region of snow leopard (Panthera uncia) habitat. Results indicated that
in these communities, ecotourism-based interventions encourage more
positive perceptions of wildlife species, in particular the snow
leopard. Achieving change in community perceptions of wildlife is key
when implementing ecotourism schemes to enable more effective
conservation, as well as generating local awareness and value for
wildlife toward problematic keystone species such as the snow leopard,
which are frequently the focus of human-wildlife conflict.
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Watts, S. W., McCarthy, T. M., Namgail, T. (2019). Modelling potential habitat for snow leopards (Panthera uncia) in
Ladakh, India.
Abstract: The snow leopard Panthera uncia is an elusive species
inhabiting some of the most remote and inaccessible tracts of Central
and South Asia. It is difficult to determine its distribution and
density pattern, which are crucial for developing conservation
strategies. Several techniques for species detection combining camera
traps with remote sensing and geographic information systems have been
developed to model the habitat of such cryptic and low-density species
in challenging terrains. Utilising presence-only data from camera traps
and direct observations, alongside six environmental variables
(elevation, aspect, ruggedness, distance to water, land cover, and prey
habitat suitability), we assessed snow leopard habitat suitability
across Ladakh in northern India. This is the first study to model snow
leopard distribution both in India and utilising direct observation
data. Results suggested that elevation and ruggedness are the two most
influential environmental variables for snow leopard habitat
suitability, with highly suitable habitat having an elevation range of
2,800 m to 4,600 m and ruggedness of 450 m to 1,800 m. Our habitat
suitability map estimated approximately 12% of Ladakh’s geographical
area (c. 90,000 km2) as highly suitable and 18% as medium suitability.
We found that 62.5% of recorded livestock depredation along with over
half of all livestock corrals (54%) and homestays (58%) occurred within
highly suitable snow leopard habitat. Our habitat suitability model can
be used to assist in allocation of conservation resources by targeting
construction of livestock corrals to areas of high habitat suitability
and promoting ecotourism programs in villages in highly suitable snow
leopard habitat.
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Esson, C., Skerratt, L. F., Berger, L., Malmsten, J., Strand, T., Lundkvist, A., Järhult, J. D., Michaux, J., Mijiddorj, T. N.,, Bayrakçısmith, R., Mishra, C., Johansson, O. (2019). Health and zoonotic Infections of snow leopards Panthera unica in the South Gobi desert of Mongolia. Infection Ecology & Epidemiology, 9(1604063), 1–11.
Abstract: Background: Snow leopards, Panthera uncia, are a threatened apex predator, scattered across the mountains of Central and South Asia. Disease threats to wild snow leopards have not been investigated.
Methods and Results: Between 2008 and 2015, twenty snow leopards in the South Gobi desert of Mongolia were captured and immobilised for health screening and radio-collaring. Blood samples and external parasites were collected for pathogen analyses using enzyme- linked immunosorbent assay (ELISA), microscopic agglutination test (MAT), and next- generation sequencing (NGS) techniques. The animals showed no clinical signs of disease, however, serum antibodies to significant zoonotic pathogens were detected. These patho- gens included, Coxiella burnetii, (25% prevalence), Leptospira spp., (20%), and Toxoplasma gondii (20%). Ticks collected from snow leopards contained potentially zoonotic bacteria from the genera Bacillus, Bacteroides, Campylobacter, Coxiella, Rickettsia, Staphylococcus and Streptococcus.
Conclusions: The zoonotic pathogens identified in this study, in the short-term did not appear to cause illness in the snow leopards, but have caused illness in other wild felids. Therefore, surveillance for pathogens should be implemented to monitor for potential longer- term disease impacts on this snow leopard population.
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Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. (2019). Sampling bias in snow leopard population estimation studies. Population Eccology, , 1–9.
Abstract: Accurate assessments of the status of threatened species and their conservation
planning require reliable estimation of their global populations and robust monitoring
of local population trends. We assessed the adequacy and suitability of studies
in reliably estimating the global snow leopard (Panthera uncia) population. We
compiled a dataset of all the peer-reviewed published literature on snow leopard
population estimation. Metadata analysis showed estimates of snow leopard density
to be a negative exponential function of area, suggesting that study areas have generally
been too small for accurate density estimation, and sampling has often been
biased towards the best habitats. Published studies are restricted to six of the
12 range countries, covering only 0.3�0.9% of the presumed global range of the
species. Re-sampling of camera trap data from a relatively large study site
(c.1684 km2) showed that small-sized study areas together with a bias towards
good quality habitats in existing studies may have overestimated densities by up to
five times. We conclude that current information is biased and inadequate for generating
a reliable global population estimate of snow leopards. To develop a rigorous
and useful baseline and to avoid pitfalls, there is an urgent need for
(a) refinement of sampling and analytical protocols for population estimation of
snow leopards (b) agreement and coordinated use of standardized sampling protocols
amongst researchers and governments across the range, and (c) sampling
larger and under-represented areas of the snow leopard's global range.
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Chetri, M., Odden, M., Sharma, K., Flagstad, O., Wegge, P. (2019). Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal. Global Ecology and Conservation, (17), 1–8.
Abstract: Although abundance estimates have a strong bearing on the conservation status of a
species, less than 2% of the global snow leopard distribution range has been sampled
systematically, mostly in small survey areas. In order to estimate snow leopard density
across a large landscape, we collected 347 putative snow leopard scats from 246 transects
(490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna-
Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging
to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using
maximum likelihood based spatial capture recapture analysis, we developed candidate
model sets to test effects of various covariates on density and detection of scats on transects.
The best models described the variation in density as a quadratic function of
elevation and detection as a linear function of topography. The average density estimate of
snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2
(0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts,
thus highlighting the heterogeneity in densities as a function of habitat types. Our density
estimate was low compared to previous estimates from smaller study areas. Probably,
estimates from some of these areas were inflated due to locally high abundances in overlap
zones (hotspots) of neighboring individuals, whose territories probably range far beyond
study area borders. Our results highlight the need for a large-scale approach in snow
leopard monitoring, and we recommend that methodological problems related to spatial
scale are taken into account in future snow leopard research.
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Jamtsho, Y., Katel, O. (2019). Livestock depredation by snow leopard and Tibetan wolf: Implications for herders� livelihoods in Wangchuck Centennial National Park, Bhutan. Springer Open, (9:1), 1–10.
Abstract: Human-wildlife conflict (HWC) is a serious problem in many parts of the world, and Bhutan�s Wangchuck Centennial
National Park (WCNP) is no exception. Located in the remote alpine areas of the eastern Himalaya, wildlife species
such as snow leopard (SL) and Tibetan wolf (TW) are reported to kill livestock in many parts of the Park. Such
depredation is believed to have affected the livelihoods of high-altitude herding communities, resulting in conflicts
between them. This study provides analysis on the extent of livestock depredation by wildlife predators such as SL
and TW and examines its implications for the livelihoods of herding communities of Choekhortoe and Dhur regions
of WCNP. Using semi-structured questionnaires, all herders (n = 38) in the study area were interviewed. The questions
pertained to livestock population, frequency of depredation and income lost due to depredation in the last five years
from 2012 to 2016. This study recorded 2,815 livestock heads in the study area, with an average herd size of 74.1 stock.
The average herd size holding showed a decreasing trend over the years, and one of the reasons cited by the herders
is depredation by SL and TW and other predators. This loss equated to an average annual financial loss equivalent to
10.2% (US$837) of their total per capita cash income. Such losses have resulted in negative impacts on herders�
livelihood; e.g. six herders (2012-2016) even stopped rearing livestock and resorted to an alternate source of cash
income. The livestock intensification programmes, including pasture improvement through allowing controlled
burning, and financial compensation, may be some potential short-term solutions to reduce conflict between herders
and predators. Issuing permits for cordyceps (Ophiocordyceps sinensis) collection only to the herders and instilling the
sense of stewardship to highland herders may be one of the long-term solutions.
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Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. (2019). POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL.98(3), 332–342.
Abstract: The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed
across vast territories and adequate modern methods are required for mapping its potential habitats. The goal
of the present study is to create a model of snow leopard potential habitat within the northern part of its range
in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations
(total number of presence points = 449), environmental variables and the maximum entropy distribution
method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal�s
presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2
with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable
habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen
Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection
status. The results of modeling are of importance both for scientists and conservation managers, as they
allow for leopard occurrence to be predicted, supporting research on and the conservation of the species.
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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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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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