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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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Mallon, D. P., Jackson, R. M. (2017). A downlist is not a demotion: Red List status and reality. Oryx, , 1–5.
Abstract: Assessments of biodiversity status are needed to
track trends, and the IUCN Red List has become the accepted
global standard for documenting the extinction
risk of species. Obtaining robust data on population size is
an essential component of any assessment of a species� status,
including assessments for the IUCN Red List. Obtaining
such estimates is complicated by methodological and
logistical issues, which are more pronounced in the case of
cryptic species, such as the snow leopard Panthera uncia.
Estimates of the total population size of this species have,
to date, been based on little more than guesstimates, but a
comprehensive summary of recent field research indicates
that the conservation status of the snow leopard may be
less dire than previously thought. A revised categorization,
from Endangered to Vulnerable, on the IUCN Red List was
proposed but met some opposition, as did a recent, similar
recategorization of the giant panda Ailuropoda melanoleuca.
Possible factors motivating such attitudes are discussed.
Downlisting on the IUCN Red List indicates that the species
concerned is further from extinction, and is always to be
welcomed, whether resulting from successful conservation
intervention or improved knowledge of status and trends.
Celebrating success is important to reinforce the message
that conservation works, and to incentivize donors.
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Ghoshal, A., Bhatnagar, Y. V., Pandav, B., Sharma, K., Mshra, C. (2017). Assessing changes in distribution of the Endangered snow leopard Panthera uncia and its wild prey over 2 decades in the Indian Himalaya through interviewbased occupancy surveys. Oryx, , 1–13.
Abstract: Understanding species distributions, patterns of
change and threats can form the basis for assessing the conservation
status of elusive species that are difficult to survey.
The snow leopard Panthera uncia is the top predator of the
Central and South Asian mountains. Knowledge of the distribution
and status of this elusive felid and its wild prey is
limited. Using recall-based key-informant interviews we estimated
site use by snow leopards and their primary wild
prey, blue sheep Pseudois nayaur and Asiatic ibex Capra
sibirica, across two time periods (past: �; recent:
�) in the state of Himachal Pradesh, India. We
also conducted a threat assessment for the recent period.
Probability of site use was similar across the two time periods
for snow leopards, blue sheep and ibex, whereas for wild
prey (blue sheep and ibex combined) overall there was an
% contraction. Although our surveys were conducted in
areas within the presumed distribution range of the snow
leopard, we found snow leopards were using only % of
the area (, km). Blue sheep and ibex had distinct distribution
ranges. Snow leopards and their wild prey were not
restricted to protected areas, which encompassed only %
of their distribution within the study area. Migratory livestock
grazing was pervasive across ibex distribution range
and was the most widespread and serious conservation
threat. Depredation by free-ranging dogs, and illegal hunting
and wildlife trade were the other severe threats. Our
results underscore the importance of community-based, landscape-
scale conservation approaches and caution against reliance
on geophysical and opinion-based distribution maps that have been used to estimate national and global snow leopard ranges.
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Rovero, F., Augugliaro, C., Havmoller, R. W., Groff, C., Zimmerman, F., Oberosler, V., Tenan, S. (2018). Co-occurrence of snow leopard Panthera uncia, Siberian ibex Capra sibirica and livestock: potential relationships and effects. Oryx, , 1–7.
Abstract: Understanding the impact of livestock on native
wildlife is of increasing conservation relevance. For the
Vulnerable snow leopard Panthera uncia, wild prey reduction,
intensifying human�wildlife conflicts and retaliatory
killings are severe threats potentially exacerbated by the
presence of livestock. Elucidating patterns of co-occurrence
of snow leopards, wild ungulate prey, and livestock, can be
used to assess the compatibility of pastoralism with conservation.
We used camera trapping to study the interactions of
livestock, Siberian ibex Capra sibirica and snow leopards in
a national park in the Altai mountains, Mongolia. We obtained
 detections of wild mammals and  of domestic
ungulates, dogs and humans. Snow leopards and Siberian
ibex were recorded  and  times, respectively. Co-occurrence
modelling showed that livestock had a higher estimated
occupancy (.) than ibex, whose occupancy was
lower in the presence of livestock (.) than in its absence
(.�. depending on scenarios modelled). Snow leopard
occupancy did not appear to be affected by the presence of
livestock or ibex but the robustness of such inference was
limited by uncertainty around the estimates. Although our
sampling at presumed snow leopard passing sites may have
led to fewer ibex detections, results indicate that livestock
may displace wild ungulates, but may not directly affect
the occurrence of snow leopards. Snow leopards could still
be threatened by livestock, as overstocking can trigger
human�carnivore conflicts and hamper the conservation
of large carnivores. Further research is needed to assess
the generality and strength of our results.
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Maheshwari, A., Niraj, S. K. (2018). Monitoring illegal trade in snow leopards: 2003e2014. Elsevier, , 1–6.
Abstract: Illegal trade in snow leopards (Panthera uncia) has been identified as one of the major
threats to long-term survival of the species in the wild. To quantify severity of the threats
to dwindling snow leopard population, we examined market and questionnaire surveys,
and information from the published and unpublished literature on illegal trade and
poaching of snow leopards.We collected information from 11 of the 12 snow leopard range
counties in central and southern Asia, barring Kazakhstan, and reported 439 snow leopards
(88 records) in illegal trade during 2003e2014, which represents a loss of approximately
8.4%e10.9% snow leopard population (assuming mid-point population of 5240 to
minimum population of 4000 individuals) in a period of 12 years. Our data suggested a 61%
decadal increase in snow leopard trade during 2003e2012 compared with 1993e2002,
while taking the note of significant strengthening of wildlife enforcement and crime
control network in the decades of 2000s and 2010s. We found 50% prosecution rate of
snow leopard crimes resulting in only 20% conviction rate globally. Many limitations e.g.,
secretive nature of illegal trade, ill developed enforcement mechanism, poor and passive
documentation of snow leopards' seizures, restricted us to reflect actual trend of snow
leopards' illegal trade. Even on a conservative scale the present situation is alarming and
may detrimental to snow leopard conservation. We propose an effective networking of
enforcement efforts and coordination among the law enforcement agencies, efficient
collection of data and data management, and sharing of intelligence in snow leopard range
countries, could be useful in curbing illegal trade in snow leopards in central and southern
Asia.
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Schutgens, M. G., Hanson, J. H., Baral, N., Ale, S. B. (2018). Visitors’ willingness to pay for snow leopard Panthera uncia conservation in the Annapurna Conservation Area, Nepal. Oryx, , 1–10.
Abstract: The Vulnerable snow leopard Panthera uncia experiences
persecution across its habitat in Central Asia, particularly
from herders because of livestock losses. Given the
popularity of snow leopards worldwide, transferring some
of the value attributed by the international community to
these predators may secure funds and support for their conservation.
We administered contingent valuation surveys to
 international visitors to the Annapurna Conservation
Area, Nepal, between May and June , to determine
their willingness to pay a fee to support the implementation
of a Snow Leopard Conservation Action Plan. Of the %of
visitors who stated they would pay a snow leopard conservation
fee in addition to the existing entry fee, the mean
amount that they were willing to pay was USD  per trip.
The logit regression model showed that the bid amount, the
level of support for implementing the Action Plan, and the
number of days spent in the Conservation Area were significant
predictors of visitors’ willingness to pay. The main reasons
stated by visitors for their willingness to pay were a
desire to protect the environment and an affordable fee. A
major reason for visitors’ unwillingness to pay was that
the proposed conservation fee was too expensive for them.
This study represents the first application of economic valuation
to snow leopards, and is relevant to the conservation of
threatened species in the Annapurna Conservation Area
and elsewhere.
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Khanal, G., Poudyal, L. P., Devkota, B. P., Ranabhat, R., Wegge, P. (2018). Status and conservation of the snow leopard Panthera uncia in Api Nampa Conservation Area, Nepal. Fauna & Flora International, , 1–8.
Abstract: The snow leopard Panthera uncia is globally
threatened and reliable information on its abundance,
distribution and prey species is a prerequisite for its conservation.
In October-November 2014 we assessed the distribution
of the snow leopard in the recently established Api
Nampa Conservation Area in the Nepal Himalayas.
Within selected blocks we conducted sign surveys and
counted the number of bharal Pseudois nayaur, its principal
wild prey, along transects totalling 106 km.We recorded 203
putative snow leopard signs at an encounter rate of 1.91
signs/km. Generalized linear models of the number of
signs detected per transect showed that elevation had a positive
influence and human activities a negative influence on
sign encounter rate; prey abundance had only a weak positive
influence on sign encounter rate. Within the effectively
surveyed area of c. 2002 km2, we counted 527 bharal at an estimated
density of 2.28 animals/km2. Recruitment of bharal
was low, estimated at 48 kids/100 adult females, most likely a
result of poor or overgrazed rangeland. We estimate
the total number of bharal in this conservation area to be
.>1,000, a prey base that could sustain 6-9 snow leopards.
Based on our field observations, we identified human disturbance
and habitat degradation associated with extraction
of non-timber forest products, livestock grazing, and poaching
as the main threats to the snow leopard. Standardized
sign surveys, preferably supplemented by sampling with
remote cameras or with genetic analysis of scats would
provide robust baseline information on the abundance of
snow leopards in this conservation area.
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. (2023). Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection. Ecological Informatics, 77(102214), 1–14.
Abstract: 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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Xiao, L., Hua, F., Knops, J. M. H., Zhao, X., Mishra, C., Lovari, S., Alexander, J. S., Weckworth, B., Lu, Z. (2022). Spatial separation of prey from livestock facilitates coexistence of a specialized large carnivore with human land use. Animal Conservation, , 1–10.
Abstract: There is an increasing emphasis in conservation strategies for large carnivores on facilitating their coexistence with humans. Justification for coexistence strategies should be based on a quantitative assessment of currently remaining large carnivores in human-dominated landscapes. An essential part of a carnivore’s coexistence strategy has to rely on its prey. In this research, we studied snow leopards Panthera uncia whose habitat mainly comprises human-dominated, unprotected areas, to understand how a large carnivore and its primary prey, the bharal Pseudois nayaur, could coexist with human land use activities in a large proportion of its range. Using a combination of livestock census, camera trapping and wildlife surveys, across a broad gradient of livestock grazing intensity in a 363 000 km2 landscape on the Tibetan Plateau, we found no evidence of livestock grazing impacts on snow leopard habitat use, bharal density and spatial distribution, even though livestock density was 13 times higher than bharal density. Bharal were found to prefer utilizing more rugged habitats at higher elevations with lower grass forage conditions, whereas livestock dominated in flat valleys at lower elevations with higher productivity, especially during the resource-scarce season. These findings suggest that the spatial niche separation between bharal and livestock, together with snow leopards’ specialized bharal diet, minimized conflicts and allowed snow leopards and bharal to coexist in landscapes dominated by livestock grazing. In recent years, reduced hunting and nomadic herder’s lifestyle changes towards permanent residence may have further reinforced this spatial separation. Our results indicated that, for developing conservation strategies for large carnivores, the niche of their prey in relation to human land-use is a key variable that needs to be evaluated.
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Kachel, S. M., Karimov, K., Wirsing, A. J. (2022). Predator niche overlap and partitioning and potential interactions in the mountains of Central Asia. Journal of Mammalogy, XX(X), 1–11.
Abstract: Direct and indirect interactions among predators affect predator fitness, distribution, and overall community structure. Yet, outside of experimental settings, such interactions are difficult to observe and thus poorly understood. Patterns of niche overlap among predators reflect and shape community interactions and may therefore help elucidate the nature and intensity of intraguild interactions. To better understand the coexistence of two apex predators, snow leopards (Panthera uncia) and wolves (Canis lupus), we investigated their spatial, temporal, and dietary niche overlap in summer in the Pamir Mountains of Tajikistan. We estimated population- level space use via spatial capture–recapture models based on noninvasive genetics and camera traps, diel activity patterns based on camera trap detections, and diet composition from prey remains in carnivore scats, from which we estimated coefficients between 0 and 1 for overlap in space, time, and diet, respectively. Snow leopards and wolves displayed moderate spatial partitioning (0.26, 95% confidence interval [CI]: 0.17–37), but overlapping temporal (0.77, 95% CI: 0.64–0.90) and dietary (0.97, 95% CI: 0.80–0.99) niches. Both predators relied on seasonally abundant marmots (Marmota caudata) rather than wild ungulates, their typical primary prey, suggesting that despite patterns of overlap that were superficially conducive to exploitation competition and predator facilitation, prey were likely not a limiting factor. Therefore, prey-mediated interactions, if present, were unlikely to be a major structuring force in the ecosystem. By implication, carnivore conservation planning and monitoring in the mountains of Central Asia should more fully account for the seasonal importance of marmots in the ecosystem.
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