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Author Koju. N. P, , Bashyal, B., Pandey, B. P., Shah, S. N., Thami, S. ,Bleisch, W. V.
Title First camera-trap record of the snow leopard Panthera uncia in Gaurishankar Conservation Area, Nepal Type Journal Article
Year 2020 Publication Oryx Abbreviated Journal
Volume Issue Pages 1-4
Keywords Camera trap, corridor, Gaurishankar Conser- vation Area, Nepal, Panthera uncia, prey abundance, transboundary, snow leopard
Abstract The snow leopard Panthera uncia is the flagship species of the high mountains of the Himalayas. There is po- tentially continuous habitat for the snow leopard along the northern border of Nepal, but there is a gap in information about the snow leopard in Gaurishankar Conservation Area. Previous spatial analysis has suggested that the Lamabagar area in this Conservation Area could serve as a transbound- ary corridor for snow leopards, and that the area may con- nect local populations, creating a metapopulation. However, there has been no visual confirmation of the species in Lamabagar. We set !! infrared camera traps for " months in Lapchi Village of Gaurishankar Conservation Area, where blue sheep Pseudois nayaur, musk deer Moschus leucogaster and Himalayan tahr Hemitragus jemlahicus, all snow leopard prey species, had been observed. In November #$!% at &,!$$ m, ' km south-west of Lapchi Village, one camera recorded three images of a snow leopard, the first photographic evidence of the species in the Conservation Area. Sixteen other species of mammals were also recorded. Camera-trap records and sightings indicated a high abun- dance of Himalayan tahr, blue sheep and musk deer. Lapchi Village may be a potentially important corridor for snow leopard movement between the east and west of Nepal and northwards to Quomolongma National Park in China. However, plans for development in the region present in- creasing threats to this corridor. We recommend develop- ment of a transboundary conservation strategy for snow leopard conservation in this region, with participation of Nepal, China and international agencies.
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Call Number Serial 1622
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Author Kachel, S. M., Karimov, K., Wirsing, A. J.
Title Predator niche overlap and partitioning and potential interactions in the mountains of Central Asia Type Journal Article
Year 2022 Publication Journal of Mammalogy Abbreviated Journal
Volume XX(X) Issue Pages 1-11
Keywords intraguild interactions, niche partitioning, snow leopard, spatial capture–recapture, wolf
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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Call Number SLN @ rakhee @ Serial 1680
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Author Xiao, L., Hua, F., Knops, J. M. H., Zhao, X., Mishra, C., Lovari, S., Alexander, J. S., Weckworth, B., Lu, Z.
Title Spatial separation of prey from livestock facilitates coexistence of a specialized large carnivore with human land use. Type Journal Article
Year 2022 Publication Animal Conservation Abbreviated Journal
Volume Issue Pages 1 - 10
Keywords large carnivore; coexistence; prey; niche separation; land use; livestock; human– wildlife conflict; snow leopard.
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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Call Number SLN @ rakhee @ Serial 1678
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Author Thapa, K., Jackson, R., Gurung, L, Acharya, H. B., Gurung, R. K.,
Title Applying the double observer methodology for assessing blue sheep population size in Nar Phu valley, Annapurna Conservation Area, Nepal Type Journal Article
Year 2021 Publication Wildlife Biology Abbreviated Journal
Volume Issue Pages 1-11
Keywords blue sheep, density estimation, double observer counts, Nepal, Panthera uncia, prey abundance, Pseudois nayaur, snow leopard, viewshed mapping
Abstract This study was undertaken in spring, 2019 to assess the applicability of the double-observer survey method for estimating blue sheep Pseudois nayaur abundance in Nar-Phu valley of Manang District located in Annapurna Conservation Area of northern Nepal. Since counting large mammals in rugged mountain habitat poses a special challenge, we tested the efficacy of the double observer method for generating robust population estimates for this important protected area. The overall detection probability for observers (O1 and O2) was 0.94 and 0.91 for a total of 106 groups comprised of 2059 individual blue sheep. We estimated the area’s blue sheep population at 2070 (SE ± 168.77; 95% CI 2059–2405) for the 246.2 km2 of sampled habitat. We determined blue sheep to be widely distributed within the study area with a mean density of 8.4 individuals per km2 based on a total study area of 246.2 km2. We discuss demographic population structure and identify limitations when applying the double observer approach, along with recommending viewshed mapping for ensuring more robust density estimates of mountain-dwelling ungulates like blue sheep or ibex that inhabit extremely heterogeneous terrain which strongly influences sighting distances and overall animal detection rates.
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Call Number SLN @ rakhee @ Serial 1666
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Author Thapa, K., Schmitt, N., Pradhan, N. M. B., Acharya, H. R., Rayamajhi, S.
Title No silver bullet? Snow leopard prey selection in Mt. Kangchenjunga, Nepal Type Journal Article
Year 2021 Publication Ecology and Evolution Abbreviated Journal
Volume Issue Pages 1-13
Keywords blue sheep, common leopard, fecal, genetic analysis, snow leopard, wolf, yak
Abstract In this study, we investigated the impact of domestic and wild prey availability on snow leopard prey preference in the Kangchenjunga Conservation Area of eastern Nepal-a region where small domestic livestock are absent and small wild ungulate prey are present. We took a comprehensive approach that combined fecal genetic sampling, macro- and microscopic analyses of snow leopard diets, and direct observation of blue sheep and livestock in the KCA. Out of the collected 88 putative snow leopard scat samples from 140 transects (290km) in 27 (4x4km2) sampling grid cells, 73 (83%) were confirmed to be from snow leopard. The genetic analysis accounted for 19 individual snow leopards (10 males and 9 females), with a mean population size estimate of 24 (95% CI: 19-29) and an average density of 3.9 snow leopards/100km2 within 609km2. The total available prey biomass of blue sheep and yak was estimated at 355,236 kg (505 kg yak/km2 and 78kg blue sheep/km2). From the available prey biomass, we estimated snow leopards consumed 7% annually, which comprised wild prey (49%), domestic livestock (45%). and 6% unidentified items. the estimated 47,736 kg blue sheep biomass gives a snow leopard-to-blue sheep ratio of 1:59 on a weight basis. The high preference of snow leopard to domestic livestock appears to be influenced by a much smaller available biomass of wild prey then in other regions of Nepal (e.g., 78kg/km2 in the KCA compared with a range of 200-300 kg/km2 in other regions of Nepal?. Along with livestock insurance scheme improvement, there needs to be a focus on improved livestock guarding, predator-proof corrals as well as engaging and educating local people to be citizen scientists on the importance of snow leopard conservation, involving them in long-term monitoring programs and promotion of ecotourism.
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Call Number SLN @ rakhee @ Serial 1665
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Author Rode, J., Lambert, C., Marescot, L., Chaix, B., Beesau, J., Bastian, S., Kyrbashev, J., Cabanat, A.L.
Title Population monitoring of snow leopards using camera trapping in Naryn State Nature Reserve, Kyrgyzstan, between 2016 and 2019 Type Journal Article
Year 2021 Publication Global Ecology and Conservation Abbreviated Journal
Volume 31 Issue e01850 Pages 1-6
Keywords Snow leopard, camera trapping, Citizen science, Kyrgyzstan
Abstract Four field seasons of snow leopard (Panthera uncia) camera trapping inside Naryn State Nature Reserve, Kyrgyzstan, performed thanks to citizen science expeditions, allowed detecting a minimal population of five adults, caught every year with an equilibrated sex ratio (1.5:1) and reproduction: five cubs or subadults have been identified from three litters of two different females. Crossings were observed one to three times a year, in front of most camera traps, and several times a month in front of one of them. Overlap of adults’ minimal territories was observed in front of several camera traps, regardless of their sex. Significant snow leopard presence was detected in the buffer area and at Ulan area which is situated at the reserve border. To avoid poaching on this apex predator and its preys, extending the more stringent protection measures of the core zone to both the Southern buffer area and land adjacent to Ulan is recommended.
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Call Number SLN @ rakhee @ Serial 1660
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Author Young, J. C., Alexander, J. S., Bijoor, A., Sharma, D., Dutta, A., Agvaantseren, B., Mijiddorj, T. N., Jumabay, K., Amankul, V., Kabaeva, B., Nawaz, A., Khan, S., Ali, H., Rullman, J. S., Sharma, K., Murali, R., Mishra, C.
Title Community-Based Conservation for the Sustainable Management of Conservation Conflicts: Learning from Practitioners Type Journal
Year 2021 Publication Sustainability Abbreviated Journal
Volume 13 Issue Pages 1-20
Keywords community-based conservation; snow leopards; participation; conflict; narratives; story- telling; conflict management
Abstract We explore the role of community-based conservation (CBC) in the sustainable management of conservation conflicts by examining the experiences of conservation practitioners trying to address conflicts between snow leopard conservation and pastoralism in Asian mountains. Practitioner experiences are examined through the lens of the PARTNERS principles for CBC (Presence, Aptness, Respect, Transparency, Negotiation, Empathy, Responsiveness, and Strategic Support) that represent an inclusive conservation framework for effective and ethical engagement with local communities. Case studies from India, Kyrgyzstan, Mongolia, and Pakistan show that resilient relationships arising from respectful engagement and negotiation with local communities can provide a strong platform for robust conflict management. We highlight the heuristic value of documenting practitioner experiences in on-the-ground conflict management and community-based conservation efforts.
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Call Number Serial 1641
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Author Karki, A., Panthi, S.
Title Factors affecting livestock depredation by snow leopards (Panthera uncia) in the Himalayan region of Nepal Type Journal Article
Year 2021 Publication PeerJ Abbreviated Journal
Volume 9 Issue e11575 Pages 1-14
Keywords Conflict,Habitat,Himalaya,Livestockdepredation,Modeling,Snowleopard,Wildlife management
Abstract The snow leopard (Panthera uncia) found in central Asia is classified as vulnerable species by the International Union for Conservation of Nature (IUCN). Every year, large number of livestock are killed by snow leopards in Nepal, leading to economic loss to local communities and making human-snow leopard conflict a major threat to snow leopard conservation. We conducted formal and informal stakeholder’s interviews to gather information related to livestock depredation with the aim to map the attack sites by the snow leopard. These sites were further validated by district forest office staffs to assess sources of bias. Attack sites older than 3 years were removed from the survey. We found 109 attack sites and visited all the sites for geo location purpose (GPS points of all unique sites were taken). We maintained at least a 100 m distance between attack locations to ensure that each attack location was unique, which resulted in 86 unique locations. A total of 235 km2 was used to define livestock depredation risk zone during this study. Using Maximum Entropy (MaxEnt) modeling, we found that distance to livestock sheds, distance to paths, aspect, and distance to roads were major contributing factors to the snow leopard’s attacks. We identified 13.64 km2 as risk zone for livestock depredation from snow leopards in the study area. Furthermore, snow leopards preferred to attack livestock near livestock shelters, far from human paths and at moderate distance from motor roads. These identified attack zones should be managed both for snow leopard conservation and livestock protection in order to balance human livelihoods while protecting snow leopards and their habitats.
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Notes Approved no
Call Number Serial 1640
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Author Atzeni, L., Cushman, S. A., Bai, D., Wang, J., Chen, P., Shi, K., Riordan, P.
Title Meta-replication, sampling bias, and multi-scale model selection: A case study on snow leopard (Panthera uncia) in western China. Type Journal Article
Year 2020 Publication Ecology and Evolution Abbreviated Journal
Volume Issue Pages 1-27
Keywords MaxEnt, meta-replication, multi-scale, Panthera uncia, sampling bias, scale selection, snow leopard, species distribution model
Abstract Replicated multiple scale species distribution models (SDMs)

have become increasingly important to identify the correct variables

determining species distribution and their influences on ecological

responses. This study explores multi-scale habitat relationships of the

snow leopard (Panthera uncia) in two study areas on the Qinghai–Tibetan

Plateau of western China. Our primary objectives were to evaluate the

degree to which snow leopard habitat relationships, expressed by

predictors, scales of response, and magnitude of effects, were

consistent across study areas or locally landcape-specific. We coupled

univariate scale optimization and the maximum entropy algorithm to

produce multivariate SDMs, inferring the relative suitability for the

species by ensembling top performing models. We optimized the SDMs based

on average omission rate across the top models and ensembles’ overlap

with a simulated reference model. Comparison of SDMs in the two study

areas highlighted landscape-specific responses to limiting factors.

These were dependent on the effects of the hydrological network,

anthropogenic features, topographic complexity, and the heterogeneity of

the landcover patch mosaic. Overall, even accounting for specific local

differences, we found general landscape attributes associated with snow

leopard ecological requirements, consisting of a positive association

with uplands and ridges, aggregated low-contrast landscapes, and large

extents of grassy and herbaceous vegetation. As a means to evaluate the

performance of two bias correction methods, we explored their effects on

three datasets showing a range of bias intensities. The performance of

corrections depends on the bias intensity; however, density kernels

offered a reliable correction strategy under all circumstances. This

study reveals the multi-scale response of snow leopards to environmental

attributes and confirms the role of meta-replicated study designs for

the identification of spatially varying limiting factors. Furthermore,

this study makes important contributions to the ongoing discussion about

the best approaches for sampling bias correction.
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Call Number Serial 1616
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Author Zhang, L., Lian, X., Yang, X
Title Population density of snow leopards (Panthera Uncia) in the Yage Valley Region of the Sanjiangyuan National Park: Conservation Implications and future directions Type Journal Article
Year 2020 Publication Artic, Antartic and Alpine Research Abbreviated Journal
Volume 52 Issue 1 Pages 541-550
Keywords Snow leopard; population density; camera trapping; Tibetan Plateau; alpine ecosystem
Abstract Population-based studies on snow leopard (Panthera uncia) are of theoretical and practical sig- nificance for the conservation of alpine ecosystems, though geographic remoteness and isolation hinder surveys in many promising regions. The Sanjiangyuan National Park on the Tibetan Plateau is acknowledged as a main snow leopard habitat, but most of the region remains unexplored and unknown. We adopted a combined approach of route survey and camera trapping survey to explore the population density of snow leopard in the Yage Valley region of the Sanjiangyuan National Park. Results indicated that (1) large populations of blue sheep contributed to the major food supply for snow leopards, along with diverse prey species as dietary supplementations, and (2) a population density of four to six snow leopards per 100 km2 on the north bank was estimated, and nine to fourteen individuals within the valley core areas were identified. We also argue that under the potential impacts of hydropower dams, this valley ecosystem should be symbolized as a conservation hotspot and therefore merits prioritized conservation. We recommend further surveys combined with novel methods/techniques and advocate a sustainable ecotourism model for the first V-shaped valley along the Yangtze mainstream.
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Call Number Serial 1619
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Author Rashid, W., Shi, J., Rahim, I. U., Dong, S., Sultan, H.
Title Issues and Opportunities Associated with Trophy Hunting and Tourism in Khunjerab National Park, Northern Pakistan Type Journal Article
Year 2020 Publication Animals Abbreviated Journal
Volume 10 Issue 597 Pages 1-20
Keywords trophy hunting; mass tourism; Pamir; eco-tourism; human-Snow leopard conflict
Abstract Trophy hunting and mass tourism are the two major interventions designed to provide various socioeconomic and ecological benefits at the local and regional levels. However, these interventions have raised some serious concerns that need to be addressed. This study was conducted in Khunjerab National Park (KNP) with an aim to analyze comparatively the socioeconomic and ecological impacts of trophy hunting and mass tourism over the last three decades within the context of sustainability. Focus Group Discussions (FGDs) with key stakeholders and household interviews were conducted to collect data on trophy hunting and mass tourism, and on local attitudes towards these two interventions in and around KNP. The results revealed that 170 Ibex (Capra sibirica) and 12 Blue sheep (Pseudois nayaur) were hunted in the study area over the past three decades, and trophy hunting was not based on a sustainable harvest level. Trophy hunting on average generated USD 16,272 annual revenue, which was invested in community development. However, trophy hunting has greatly changed the attitudes of local residents towards wildlife: a positive attitude towards the wild ungulates and strongly negative attitude towards wild carnivores. In addition, trophy hunting has reduced the availability of ungulate prey species for Snow leopards (Panthera uncia), and consequently, Snow leopards have increased their predation on domestic livestock. This has, in turn, increased human–snow leopard conflict, as negative attitudes towards carnivores result in retaliatory killing of Snow leopards. Furthermore, according to ocial record data, the number of tourists to KNP has increased tremendously by 10,437.8%, from 1382 in 1999 to 145,633 in 2018. Mass tourism on average generated USD 33,904 annually and provided opportunities for locals to earn high incomes, but it caused damages to the environment and ecosystem in KNP through pollution generation and negative impacts on wildlife. Considering the limited benefits and significant problems created by trophy hunting and mass tourism, we suggest trophy hunting should be stopped and mass tourism should be shifted to ecotourism in and around KNP. Ecotourism could mitigate human–Snow leopard conflicts and help conserve the fragile ecosystem, while generating enough revenue incentives for the community to protect biodiversity and compensate for livestock depredation losses to Snow leopards. Our results may have implications for management of trophy hunting and mass tourism in other similar regions that deserve further investigation.
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Call Number Serial 1621
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Author Kachel, S., Anderson, K., Shokirov, Q.
Title Predicting carnivore habitat use and livestock depredation risk with false-positive multi-state occupancy models Type Journal Article
Year 2022 Publication Biological Conservation Abbreviated Journal
Volume 271 Issue 109588 Pages 1-10
Keywords Bayesian hierarchical model,False-positive,Multi-state occupancy,Human-carnivore conflict,Livestock depredation,Snow leopard,Lynx,Wolf,Bear
Abstract The cycle of livestock depredation and retaliatory killing constitutes a major threat to large carnivores worldwide and imposes considerable hardships on human communities. Mitigation efforts are often undertaken with little knowledge of ecological underpinnings and patterns of depredation, limiting conservationists' ability to develop, prioritize, and evaluate solutions. Carnivore detection and depredation data from interviews in affected communities may help address this gap, but such data are often prone to false-positive uncertainty. To address these challenges in the Pamir Mountains of Tajikistan we collected snow leopard, lynx, wolf, and bear detection and depredation reports from local communities via semi-structured interviews. We used a novel hierarchical multi-species multi-state occupancy model that accounted for potential false-positives to investigate carnivore site use and depredation concurrently with respondents' apparent vulnerability to that risk. Estimated false-positive probabilities were small, but failure to account for them overstated site use probabilities and depredation risk for all species. Although individual vulnerability was low, depredation was nonetheless commonplace. Carnivore site use was driven by clear habitat associations, but we did not identify any clearly important large-scale spatial correlates of depredation risk despite considerable spatial variation in that risk. Respondents who sheltered livestock in household corrals reinforced with wire mesh were less likely to report snow leopard depredations. Reducing depredation and retaliation at adequately large scales in the Pamirs will likely require a portfolio of species-specific strategies, including widespread proactive corral improvements. Our approach expanded inference on the often-cryptic processes surrounding human-carnivore conflict even though structured wildlife data were scarce.
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Call Number SLN @ rakhee @ Serial 1681
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Author Tiwari, M. P., Devkota, B. P., Jackson, R. M., Chhetri, B. B. K., Bagale, S.
Title What Factors Predispose Households in Trans-Himalaya (Central Nepal) to Livestock Predation by Snow Leopards? Type Journal Article
Year 2020 Publication Animals Abbreviated Journal
Volume 10 Issue 2187 Pages 1-14
Keywords human-snow leopard conflict; livestock predation; Narphu valley; trans-Himalaya
Abstract Livestock depredation across the trans-Himalaya causes

significant economic losses to pastoralist communities. Quantification

of livestock predation and the assessment of variables associated with

depredation are crucial for designing effective long-term mitigation

measures. We investigated the patterns and factors of livestock

depredation by snow leopards (Panthera uncia) using semi-structured

questionnaires targeting herders in the Narphu valley of the Annapurna

Conservation Area, Nepal. During the two years (2017/18 and 2018/19),

73.9% of the households interviewed (n = 65) lost livestock to snow

leopards, with an annual average loss of two livestock per household. Of

the total depredation attributed to snow leopards, 55.4% were yak

(mainly female: 79%), 31.7% goat, 6.8% sheep, 3.2% horse and 2.8%

cattle. Results from applying Generalized Linear Mixed Models (GLMMs)

revealed the total number of livestock owned and the number of larger

bodied livestock species as the main explanatory covariates explaining

livestock depredation. Forty-one (41%) of all herders considered snow

leopard’s preference for domestic livestock as the main factor in

livestock predation, whereas only 5% perceived poor herding practice as

the main reason for the loss. Our study found poor and changing herding

practices in the valley, whereby 71% herders reported careful herding as

a solution to snow leopard depredation, and 15% of herders considered

the complete extermination of snow leopards as the best solution to the

problem. Tolerance levels and awareness among herders towards snow

leopard conservation is increasing, mainly due to the Buddhist religion

and strict law enforcement within this protected area. We recommend the

effective implementation of a community-based livestock insurance scheme

to compensate the economic loss of herders due to predation and improved

herding practices as the recommended mitigation measures for ensuring

livestock security and snow leopards’ conservation in the valley.
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Call Number Serial 1624
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Author 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
Title Health and zoonotic Infections of snow leopards Panthera unica in the South Gobi desert of Mongolia Type Journal Article
Year 2019 Publication Infection Ecology & Epidemiology Abbreviated Journal
Volume 9 Issue 1604063 Pages 1-11
Keywords Snow leopard; zoonoses; conservation; one health; Mongolia; ticks
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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Call Number Serial 1625
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Author Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J. S., Bijoor, Suryawanshi, K., Mishra, C.
Title Conservation and people: Towards an ethical code of conduct for the use of camera traps in wildlife research Type Journal Article
Year 2020 Publication Ecological Solutions and Evidence Abbreviated Journal
Volume Issue Pages 1-6
Keywords camera trap, code of conduct, ethics, human rights, law, PARTNERS principles for community- based conservation, privacy, snow leopard
Abstract 1. Camera trapping is a widely employed tool in wildlife

research, used to estimate animal abundances, understand animal

movement, assess species richness and under- stand animal behaviour. In

addition to images of wild animals, research cameras often record human

images, inadvertently capturing behaviours ranging from innocuous

actions to potentially serious crimes.

2. With the increasing use of camera traps, there is an urgent need to

reflect on how researchers should deal with human images caught on

cameras. On the one hand, it is important to respect the privacy of

individuals caught on cameras, while, on the other hand, there is a

larger public duty to report illegal activity. This creates ethical

dilemmas for researchers.

3. Here, based on our camera-trap research on snow leopards Panthera

uncia, we outline a general code of conduct to help improve the practice

of camera trap based research and help researchers better navigate the

ethical-legal tightrope of this important research tool.
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Call Number Serial 1626
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Author Augugliaro, C., Christe, P., Janchivlamdan, C., Baymanday, H., Zimmermann, F.
Title Patterns of human interaction with snow leopard and co-predators in the Mongolian western Altai: Current issues and perspectives Type Journal Article
Year 2020 Publication Global Ecology and Conservation Abbreviated Journal
Volume 24 Issue Pages 1-21
Keywords Depredation Human-carnivores interaction Mongolian altai Snow leopard Wolf Wolverine
Abstract Large carnivores can cause considerable economic damage,

mainly due to livestock depredation. These conficts instigate negative

attitude towards their conservation, which could in the extreme case

lead to retaliatory killing. Here we focus on the snow leopard (Panthera

uncia), a species of conservation concern with particularly large

spatial requirements. We conducted the study in the Bayan Olgii

province, one of the poorest provinces of Mongolia, where the majority

of the human population are traditional herders. We conducted a survey

among herders (N 261) through a semi-structured questionnaire with the

aim to assess: the current and future herding practices and prevention

measures, herders’ perceptions and knowledge of the environmental

protection and hunting laws; the perceived livestock losses to snow

leopard, wolf (Canis lupus), and wolverine (Gulo gulo), as well as to

non-predatory factors; the key factors affecting livestock losses to

these three large carnivores; and, finally, the attitudes towards these

three large carnivores. Non-predatory causes of mortality were slightly

higher than depredation cases, representing 4.5% and 4.3% of livestock

holdings respectively. While no depredation of livestock was reported

from wolverines, snow leopard and wolf depredation made up 0.2% and 4.1%

of total livestock holdings, respectively. Herders’ attitudes towards

the three large carnivores were negatively affected by the magnitude of

the damages since they had a positive overall attitude towards both snow

leopard and wolverine, whereas the attitude towards wolf was negative.

We discuss conservation and management options to mitigate herder-snow

leopard impacts. To palliate the negative consequences of the increasing

trend in livestock numbers, herd size reduction should be encouraged by

adding economic value to the individual livestock and/or by promoting

alternative income and/or ecotourism. Furthermore, co-management between

government and stakeholders would help tackle this complex problem, with

herders playing a major role in the development of livestock management

strategies. Traditional practices, such as regularly shifting campsites

and using dogs and corrals at night, could reduce livestock losses

caused by snow leopards.
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Call Number Serial 1627
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Author Singh, R., Krausman, P. R., Pandey, P., Maheshwari, A., Rawal, R. S., Sharma, S., Shekhar, S.
Title Predicting Habitat Suitability of Snow Leopards in the Western Himalayan Mountains, India Type Journal Article
Year 2020 Publication Biology bulletin Abbreviated Journal
Volume 47 Issue 6 Pages 655-664
Keywords biogeographic distribution, climate, endangered cat, MaxEnt, snow leopard
Abstract The population of snow leopard (Panthera uncia) is declining

across their range, due to poaching, habitat fragmentation, retaliatory

killing, and a decrease of wild prey species. Obtaining information on

rare and cryptic predators living in remote and rugged terrain is

important for making conservation and management strategies. We used the

Maximum Entropy (MaxEnt) ecological niche modeling framework to predict

the potential habitat of snow leopards across the western Himalayan

region, India. The model was developed using 34 spatial species

occurrence points in the western Himalaya, and 26 parameters including,

prey species distribution, temperature, precipitation, land use and land

cover (LULC), slope, aspect, terrain ruggedness and altitude. Thirteen

variables contributed 98.6% towards predicting the distribution of snow

leopards. The area under the curve (AUC) score was high (0.994) for the

training data from our model, which indicates pre- dictive ability of

the model. The model predicted that there was 42432 km2 of potential

habitat for snow leop- ards in the western Himalaya region. Protected

status was available for 11247 km2 (26.5%), but the other 31185 km2

(73.5%) of potential habitat did not have any protected status. Thus,

our approach is useful for predicting the distribution and suitable

habitats and can focus field surveys in selected areas to save

resources, increase survey success, and improve conservation efforts for

snow leopards.
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Call Number Serial 1629
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Author Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V.
Title Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. Type Journal Article
Year 2021 Publication Conservation Genetics Abbreviated Journal
Volume Issue Pages
Keywords Snow leopard, Panthera uncia, Microsatellites, Heterozygosity, Population structure, Noninvasive survey, Scat, Subspecies
Abstract The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed.
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Call Number Serial 1633
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Author Alexander, J. S., Agvaantseren, B., Gongor, E., Mijiddorj, T. N., Piaopiao, T., Stephen Redpath, S., Young, J., Mishra, C.
Title Assessing the Effectiveness of a Community-based Livestock Insurance Program Type Journal Article
Year 2021 Publication Environmental Management Abbreviated Journal
Volume Issue Pages
Keywords Large carnivores, Snow leopard conservation, Human-wildlife conflicts, Livestock insurance, Community conservation, Human-wildlife co-existence, Snow leopard
Abstract
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Call Number Serial 1635
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Author Johansson, O., Ullman, K., Lkhagvajav, P., Wiseman, M., Malmsten, J., Leijon, M.
Title Detection and Genetic Characterization of Viruses Present in Free-Ranging Snow Leopards Using Next-Generation Sequencing Type Journal Article
Year 2020 Publication Frontiers in Veterinary Science Abbreviated Journal
Volume 7 Issue 645 Pages 1-9
Keywords snow leopard, free-ranging, virome, Mongolia, rectal swabs, next-generating sequencing, Panthera unica
Abstract Snow leopards inhabit the cold, arid environments of the high

mountains of South and Central Asia. These living conditions likely

affect the abundance and composition of microbes with the capacity to

infect these animals. It is important to investigate the microbes that

snow leopards are exposed to detect infectious disease threats and

define a baseline for future changes that may impact the health of this

endangered felid. In this work, next-generation sequencing is used to

investigate the fecal (and in a few cases serum) virome of seven snow

leopards from the Tost Mountains of Mongolia. The viral species to which

the greatest number of sequences reads showed high similarity was

rotavirus. Excluding one animal with overall very few sequence reads,

four of six animals (67%) displayed evidence of rotavirus infection. A

serum sample of a male and a rectal swab of a female snow leopard

produced sequence reads identical or closely similar to felid

herpesvirus 1, providing the first evidence that this virus infects snow

leopards. In addition, the rectal swab from the same female also

displayed sequence reads most similar to feline papillomavirus 2, which

is the first evidence for this virus infecting snow leopards. The rectal

swabs from all animals also showed evidence for the presence of small

circular DNA viruses, predominantly Circular Rep-Encoding

Single-Stranded (CRESS) DNA viruses and in one case feline anellovirus.

Several of the viruses implicated in the present study could affect the

health of snow leopards. In animals which are under environmental

stress, for example, young dispersing individuals and lactating females,

health issues may be exacerbated by latent virus infections.
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Call Number Serial 1612
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Author Khanal, G., Mishra, C., Suryawanshi, K. R.
Title Relative influence of wild prey and livestock abundance on carnivore-caused livestock predation Type Journal Article
Year 2020 Publication Ecology and Evolution Abbreviated Journal
Volume Issue Pages 1-11
Keywords conservation conflict, human carnivore conflict, large mammalian carnivore, livestock depredation, Nepal, Shey Phoksundo National Park, snow leopard
Abstract Conservation conflict over livestock depredation is one of the

key drivers of large mammalian carnivore declines worldwide. Mitigating

this conflict requires strategies informed by reliable knowledge of

factors influencing livestock depredation. Wild prey and livestock

abundance are critical factors influencing the extent of livestock

depredation. We compared whether the extent of livestock predation by

snow leopards Panthera uncia differed in relation to densities of wild

prey, livestock, and snow leopards at two sites in Shey Phoksundo

National Park, Nepal. We used camera trap-based spatially explicit

capture–recapture models to estimate snow leopard density;

double-observer surveys to estimate the density of their main prey

species, the blue sheep Pseudois nayaur; and interview-based household

surveys to estimate livestock population and number of livestock killed

by snow leopards. The proportion of livestock lost per household was

seven times higher in Upper Dolpa, the site which had higher snow

leopard density (2.51 snow leopards per 100 km2) and higher livestock

density (17.21 livestock per km2) compared to Lower Dolpa (1.21 snow

leopards per 100 km2; 4.5 livestock per km2). The wild prey density was

similar across the two sites (1.81 and 1.57 animals per km2 in Upper and

Lower Dolpa, respectively). Our results suggest that livestock

depredation level may largely be determined by the abundances of the

snow leopards and livestock and predation levels on livestock can vary

even at similar levels of wild prey density. In large parts of the snow

leopard range, livestock production is indispensable to local

livelihoods and livestock population is expected to increase to meet the

demand of cashmere. Hence, we recommend that any efforts to increase

livestock populations or conservation initiatives aimed at recovering or

increasing snow leopard population be accompanied by better herding

practices (e.g., predator-proof corrals) to protect livestock from snow

leopard.
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Call Number Serial 1611
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Author Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S.
Title Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection Type Journal Article
Year 2023 Publication Ecological Informatics Abbreviated Journal
Volume 77 Issue 102214 Pages 1-14
Keywords Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards
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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Call Number SLN @ rakhee @ Serial 1723
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Author Sanyal, O., Bashir, T., Rana, M., Chandan, P.
Title First photographic record of the snow leopard Panthera uncia in Kishtwar High Altitude National Park, Jammu and Kashmir, India Type Journal Article
Year 2023 Publication Oryx Abbreviated Journal
Volume Issue Pages 1-5
Keywords Camera trapping, India, Kashmir Himalaya, Kishtwar, Panthera uncia, photographic record, snow leopard
Abstract 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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Call Number SLN @ rakhee @ Serial 1750
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Author Arias, M., Coals, P., Ardiantiono, Elves-Powell, J., Rizzolo, J. B., Ghoddousi, A., Boron, V., da Silva, M., Naude, V., Williams, V., Poudel, S., Loveridge, A., Payan, E., Suryawanshi, K., Dickman, A.
Title Reflecting on the role of human-felid conflict and local use in big cat trade Type Journal Article
Year 2024 Publication Conservation Science and Practice Abbreviated Journal
Volume 6 Issue e13030 Pages 1-7
Keywords conflict, illegal trade, jaguar, leopard, lion, Panthera, snow leopard, tiger, wildlife crime
Abstract Illegal trade in big cat (Panthera spp.) body parts is a prominent topic in scientific and public discourses concerning wildlife conservation. While illegal trade is generally acknowledged as a threat to big cat species, we suggest that two enabling factors have, to date, been under-considered. To that end, we discuss the roles of human-felid conflict, and “local” use in illegal trade in big cat body parts. Drawing examples from across species and regions, we look at generalities, contextual subtleties, ambiguities, and definitional complexities. We caution against underestimating the extent of “local” use of big cats and highlight the potential of conflict killings to supply body parts.
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Call Number SLN @ rakhee @ Serial 1745
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Author Alexander, J. S., Murali, R., Mijiddorj, T. N., Agvaantseren, B., Lhamo, C., Sharma, D., Suryawanshi, K. R., Zhi, L., Sharma, K., Young, J. C.
Title Applying a gender lens to biodiversity conservation in High Asia Type Journal Article
Year 2023 Publication Frontiers in Conservation Science Abbreviated Journal
Volume Issue Pages 1-8
Keywords gender, snow leopards, pastoralism, rights, decision-making
Abstract Community-based conservation efforts represent an important approach to facilitate the coexistence of people and wildlife. A concern, however, is that these efforts build on existing community structures and social norms, which are commonly dominated by men. Some biodiversity conservation approaches may consequently neglect women’s voices and deepen existing inequalities and inequities. This paper presents two community case studies that draw upon the knowledge and experience gained in our snow leopard conservation practice in pastoral and agro-pastoral settings in Mongolia and India to better understand women’s roles and responsibilities. In these settings, roles and responsibilities in livestock management and agriculture are strongly differentiated along gender lines, and significant gaps remain in women’s decision-making power about natural resources at the community level. We argue that context-specific and gender-responsive approaches are needed to build community support for conservation actions and leverage women’s potential contributions to conservation outcomes.
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Notes Approved no
Call Number SLN @ rakhee @ Serial 1741
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