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Alexander, J. S., Johansson, O., Xiao, L., Chetri, M., Lkhagvajav, P., Karumbaya, R., Wright, B., Modaqiq, W., Lovari, S. |
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Snow Leopard Network: 20 years of collaboration among practitioners |
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2023 |
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Oryx |
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57 |
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5 |
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559-560 |
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The Snow Leopard Network (snowleopardnetwork.org), a global group dedicated to snow leopard Panthera uncia conservation, is commemorating 2 decades of accomplishments since its inception in 2002. Initiated at the Snow Leopard Survival Summit in Seattle, USA, with 58 experts from 17 countries, the Network continues to grow and to play a pivotal role in safeguarding the snow leopard in High Asia. Current membership stands at 621 individuals and 31 organizations. As new challenges and opportunities arise, collaborative and innovative solutions are more crucial than ever. |
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SLN @ rakhee @ |
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1729 |
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Bocci, A., Lovari, S., Khan, M. Z., Mori, E. |
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Sympatric snow leopards and Tibetan wolves: coexistence of large carnivores with human-driven potential competition |
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2017 |
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European Journal of Wildlife Research |
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1-9 |
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Panthera uncia . Canis lupus filchneri . Competition . Large-carnivore coexistence . Siberian ibex |
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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
The snow leopard Panthera uncia coexists with the wolf Canis lupus throughout most of its distribution range.
We analysed the food habits of snow leopards and wolves in their sympatric range in the Karakoram mountains of Pakistan. A total of 131 genotyped scats (N = 74, snow leopard; N = 57, Tibetan wolf) were collected during the cold periods (i.e. winter and spring) of 2011 and 2012 in the Hushey valley. Large mammals, i.e. livestock and ibex, accounted for 84.8 and 83.1% of the diet (relative frequency) of the snow leopard and the wolf, respectively. Domestic prey was the staple of the diet of both snow leopards (66.6%) and wolves (75.1%). Ibex Capra ibex, the only wild ungulate in our study area, contributed 18.2 and 16.9%of relative frequencies in the
diets of the snow leopard and the wolf, respectively. In winter, the snowleopard heavily relied on domestic sheep (43.3%) for food, whereas the wolf preyed mainly on domestic goats (43.4%). Differently from other study areas, both snow leopards and wolves showed no apparent prey preference (Jacobs
index: snow leopard min. − 0.098, max. 0.102; Tibetan wolf min. − 0.120, max. 0.03). In human depauperate areas, with livestock and only a few wild prey, should competitive interactions arise, two main scenarios could be expected, with either predator as a winner. In both cases, the best solution
could primarily impinge on habitat restoration, so that a balance could be found between these predators, who have already coexisted for thousands of years. |
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1464 |
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Holt, C. D. S., Nevin, O. T., Smith, D., Convery, I. |
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Title |
Environmental niche overlap between snow leopard and four prey species in Kazakhstan |
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Journal Article |
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2018 |
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Elsevier |
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48 |
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97-103 |
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SDM, MaxEnt, Management, Conservation, Dispersal, Distribution |
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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
The snow leopard Panthera uncia has declined due to habitat loss, habitat fragmentation and human persecution. Predator distribution is heavily dependent on prey species availability and distribution. With increasing pressures from farming practices encroaching into native species range and persecution of snow leopards in response to livestock depredation, it is vital to assess current predator and prey species distribution to highlight sensitive areas of overlap for protection. This study uses MaxEnt, a presence-only Species Distribution Model (SDM) to assess snow leopard and four prey species habitat suitability along
the southern and eastern borders of Kazakhstan using environmental data. This area is considered an important corridor between snow leopard populations in the north and south of their range. Each of the five SDM's produced models of �good� discriminating abilities. We then compared the potential niche overlap between snow leopard and four prey species using ENMTools to highlight areas of important niche overlap within the corridor. The results indicated a very high degree of overlap between snow leopard and Siberian ibex and high degrees Capra sibirica with red deer Cervus elaphus, argali Ovis ammon and urial Ovis orientalis. The snow leopard population in this region is also found to be using forested areas below 2500 m, much lower than recorded in other areas of their range. The results highlight areas needed for protection but also pose additional conservation questions regarding the importance of prey species to transitory individuals. |
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1472 |
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Lama, R. P., Ghale, T. R., Suwal, M. K., Ranabhat, R., Regmi, G. R. |
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First photographic evidence of Snow Leopard Panthera uncia (Mammalia: Carnivora: Felidae) outside current protected areas network in Nepal Himalaya |
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2018 |
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Journal of Threatened Taxa |
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12086-12090 |
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Camera-trapping, conservation, Humla, livestock depredation, monasteries, non-timber forest products, retaliatory killing, Tibetan Buddhism. |
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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
The Snow Leopard Panthera uncia is a rare top predator of high-altitude ecosystems and insufficiently surveyed outside of protected areas in Nepal. We conducted a rapid camera-trapping survey to assess the presence of Snow Leopard in the Limi valley of Humla District. Three individuals were recorded in two camera locations offering the first photographic evidence of this elusive cat outside the protected area network of Nepal. In addition to Snow Leopard, the Blue Sheep Pseudois nayaur, Beech Marten Martes foina, Pika Ochotona spp. and different species of birds were also detected by camera-traps. More extensive surveys and monitoring are needed for reliably estimating the population size of Snow Leopard in the area. The most urgent needs are community-based conservation activities aimed at mitigating immediate threats of poaching, retaliatory killing, and rapid prey depletion to ensure the survival of this top predator in the Himalaya. |
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SLN @ rakhee @ |
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1470 |
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Hanson, J. H., Schutgens, M., Leader-Williams, N. |
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Title |
What factors best explain attitudes to snow leopards in the Nepal Himalayas? |
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Journal Article |
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2019 |
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PLoS ONE |
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1-19 |
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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
The snow leopard Panthera uncia is a vulnerable wild felid native to mountainous regions of 12 Asian countries. It faces numerous overlapping threats, including killings by herders retaliating against livestock losses, the illegal wildlife trade, loss of prey and habitat, infra- structure, energy and mining developments, and climate change. The species ranges over large territories that often lie outside of protected areas (PA), so coexistence with human populations across its range is key to its persistence. Human attitudes to snow leopards may be an important factor to consider in reducing overlapping threats to this species. How- ever, this nexus has not been widely studied to date. Attitudes to snow leopard conserva- tion, including actors and interventions, may also be a significant aspect of coexistence. These have also received limited empirical attention. This study therefore explored human attitudes to snow leopards and to snow leopard conservation, the motivations for these atti- tudes and the individual factors that best explained them. Using systematic sampling, a quantitative questionnaire was administered to 705 households at two sites in the Nepal Himalayas: Sagarmatha National Park, with a less decentralised governance model, and Annapurna Conservation Area, with a more decentralised model. Linear regression models were the main form of analysis. Based on these, attitudes to snow leopard conservation emerged as the strongest influence on local attitudes to snow leopards, and vice versa. This was true in both PAs, despite their differing management regimes. Other important explana- tory factors included numbers of livestock owned, years of education, household livelihoods and age. Furthermore, a positive intrinsic motivation was the most common reason given by respondents to explain their attitudes to both snow leopards and snow leopard conservation. These findings demonstrate that, in addition to the usual suite of factors that influence atti- tudes to a species, the way in which its conservation is pursued and perceived also needs consideration. How the snow leopard is conserved may strongly influence its coexistence with local communities. |
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1489 |
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Oberosler, V., Tenan, S., Groff, C., Krofel, M., Augugliaro, C., Munkhtsog, B., Rovero, F. |
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First spatially‐explicit density estimate for a snow leopard population in the Altai Mountains |
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2021 |
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Biodiversity and Conservation |
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15 |
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Camera trapping · Conservation · Abundance · Felids · Activity range · Mongolia · Panthera uncia · Spatial capture-recapture |
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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
The snow leopard Panthera uncia is an elusive and globally-threatened apex predator occurring in the mountain ranges of central Asia. As with other large carnivores, gaps in data on its distribution and abundance still persist. Moreover, available density estimates are often based on inadequate sampling designs or analytical approaches. Here, we used camera trapping across a vast mountainous area (area of the sampling frame 850 km2; analysed habitat extent 2600 km2) and spatially-explicit capture-recapture (SECR) models to provide, to our knowledge, the first robust snow leopard population density estimate for the Altai Mountains. This region is considered one of the most important conservation areas for snow leopards, representing a vast portion of suitable habitat and a key ecological corridor. We also provide estimates of the scale parameter (σ) that reflects ranging behaviour (activity range) and baseline encounter probability, and investigated potential drivers of density and related parameters by assessing their associations with anthropogenic and environmental factors. Sampling yielded 9729 images of snow leopards corresponding to 224 independent detections that belonged to a minimum of 23 identified adult individuals. SECR analysis resulted in an overall density of 1.31 individuals/100 km2 (1.15%–1.50 95% CI), which was positively correlated with terrain slope. This estimate falls within the mid-values of the range of density estimates for the species globally. We estimated significantly different activity range size for females and males (79 and 329 km2, respectively). Base- line encounter probability was negatively associated with anthropogenic activity. Our study contributes to on-going efforts to produce robust global estimates of population abundance for this top carnivore. |
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1662 |
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Watts, S. W., McCarthy, T. M., Namgail, T. |
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Modelling potential habitat for snow leopards (Panthera uncia) in
Ladakh, India |
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Research Article |
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2019 |
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Plos One |
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1-14 |
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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
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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1608 |
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Sanyal, O., Bashir, T., Rana, M., Chandan, P. |
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First photographic record of the snow leopard Panthera uncia in Kishtwar High Altitude National Park, Jammu and Kashmir, India |
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2023 |
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Oryx |
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1-5 |
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Camera trapping, India, Kashmir Himalaya, Kishtwar, Panthera uncia, photographic record, snow leopard |
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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region. |
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1750 |
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Khanal, G., Poudyal, L. P., Devkota, B. P., Ranabhat, R., Wegge, P. |
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Status and conservation of the snow leopard Panthera uncia in Api Nampa Conservation Area, Nepal |
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2018 |
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Fauna & Flora International |
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1-8 |
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Api Nampa Conservation Area, bharal, Nepal, Panthera uncia, Pseudois nayaur, snow leopard |
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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
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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1473 |
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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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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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Abstract ![sorted by Abstract field, ascending order (up)](img/sort_asc.gif) |
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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1380 |
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