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Author Maheshwari, A., Niraj, S. K url 
  Title Monitoring illegal trade in snow leopards: 2003e2014 Type Journal Article
  Year 2018 Publication Elsevier Abbreviated Journal  
  Volume Issue Pages 1 -6  
  Keywords Snow leopard, Illegal trade, Central and southern Asia, Conservation  
  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and information from the published and unpublished literature on illegal trade and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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  Call Number SLN @ rakhee @ Serial 1466  
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Author Schutgens, M. G., Hanson, J. H., Baral, N., Ale, S. B. doi 
  Title Visitors’ willingness to pay for snow leopard Panthera uncia conservation in the Annapurna Conservation Area, Nepal Type Journal Article
  Year 2018 Publication Oryx Abbreviated Journal  
  Volume Issue Pages 1 - 10  
  Keywords Carnivore conservation, contingent valuation, economic valuation, existence value, Panthera uncia, snow leopard, threatened species, wildlife policy  
  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

&#63284;&#63280;&#63286; international visitors to the Annapurna Conservation

Area, Nepal, between May and June &#63282;&#63280;&#63281;&#63284;, to determine

their willingness to pay a fee to support the implementation

of a Snow Leopard Conservation Action Plan. Of the &#63284;&#63289;%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 &#63285;&#63289; 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.		  
  Address http://snowleopardnetwork.org/bibliography/Schutgensetal_2018.pdf  
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  Call Number SLN @ rakhee @ Serial 1467  
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Author Khanal, G., Poudyal, L. P., Devkota, B. P., Ranabhat, R., Wegge, P. url  doi
  Title Status and conservation of the snow leopard Panthera uncia in Api Nampa Conservation Area, Nepal Type Journal Article
  Year 2018 Publication Fauna & Flora International Abbreviated Journal  
  Volume Issue Pages 1-8  
  Keywords Api Nampa Conservation Area, bharal, Nepal, Panthera uncia, Pseudois nayaur, snow leopard  
  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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  Call Number SLN @ rakhee @ Serial 1473  
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Author Hanson, J. H., Schutgens, M., Lama, R.P., Aryal, A., Dhakal, M. url 
  Title Local attitudes to the proposed translocation of blue sheep Pseudois nayaur to Sagarmatha National Park, Nepal Type Journal Article
  Year 2018 Publication Fauna & Flora International Abbreviated Journal  
  Volume Issue Pages 1-7  
  Keywords Attitudes, blue sheep, human&wildlife conflict, Panthera uncia, Pseudois nayaur, Sagarmatha National Park, snow leopard, translocation  
  Abstract Translocations are an important tool for the conservation

of biodiversity, but although ecological feasibility

studies are frequently conducted prior to implementation,

social feasibility studies that consider how local communities

perceive such projects are less common. The translocation

of blue sheep Pseudois nayaur to Sagarmatha National

Park, Nepal, has been proposed, to reduce livestock depredation

by snow leopards Panthera uncia by providing an alternative

prey base in addition to the small population of

Himalayan thar Hemitragus jemlahicus. This study used

systematic sampling, a quantitative questionnaire and qualitative

interviews within the Park to provide data on the social

viability of the proposed translocation. Quantitative

analysis revealed moderate levels of support but qualitative

analysis suggested that there are significant concerns about

the proposal. In addition,multiple regression analysis found

that women and livestock owners were significantly less

supportive, although the model had low explanatory

power. Potential crop damage and competition for forage

were frequently cited as concerns, especially amongst

those with a high level of dependence on natural resources.

Given the mixed response to the proposed translocation of

blue sheep to the Everest region, alleviating the reservations

of local residents is likely to be key to any further consultation,

planning or implementation.		  
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  Call Number SLN @ rakhee @ Serial 1475  
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Author Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. url 
  Title POTENTIAL HABITAT OF SNOW LEOPARD (PANTHERA UNCIA, FELINAE) IN SOUTH SIBERIA AND ADJACENT TERRITORIES BASED ON THE MAXIMUM ENTROPY DISTRIBUTION MODEL Type Journal Article
  Year 2019 Publication Abbreviated Journal  
  Volume 98 Issue 3 Pages 332-342  
  Keywords Snow leopard, irbis, Panthera uncia, Maxent, habitat model, potential habitat  
  Abstract The snow leopard is an endangered large felid inhabiting highlands of 12 Asian countries. It is distributed

across vast territories and adequate modern methods are required for mapping its potential habitats. The goal

of the present study is to create a model of snow leopard potential habitat within the northern part of its range

in Russia (and adjacent territories of Mongolia, China and Kazakhstan). More than 5 years of observations

(total number of presence points = 449), environmental variables and the maximum entropy distribution

method (Maxent) are used. The resulting map demonstrates that a suitable habitat (probability of the animal&#65533;s

presence between 0.5 and 1) of the northern population of snow leopard in Russia occupies 16500 km2

with a buffer of transient territories (probability between 0.25 and 0.49) covering 32800 km2. Most of a suitable

habitat within the study area is associated with the Altai Mountains, Western Sayan Mountains, Sangilen

Plateau, Tsagan-Shibetu and Shapshal. One third of the suitable habitat lies within areas of a varying protection

status. The results of modeling are of importance both for scientists and conservation managers, as they

allow for leopard occurrence to be predicted, supporting research on and the conservation of the species.		  
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  Call Number SLN @ rakhee @ Serial 1480  
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Author Natalia, E., Sergey, N., Vyacheslav, R., Fedor, V., Antonio, H. B. J., Andrey, P., Alexander, K.,Ekaterina, P. url 
  Title HELMINTHS OF RARE FELINE SPECIES (FELIDAE) IN SIBERIA AND THE RUSSIAN FAR EAST Type Journal Article
  Year 2017 Publication International Journal of Research In Abbreviated Journal  
  Volume Issue Pages 70-74  
  Keywords Helminths, Amur tiger, Amur leopard, Pallas's cat, Snow leopard.  
  Abstract Parasites diversity in close-related species of hosts may be different depending on habitat use and climatic conditions. The aim of this study was to

analyze parasites fauna in four felid species inhabiting Russian Far East and South Siberia (including taiga forest and mountain treeless areas). We

have collected 272 feces samples of four felid species: Amur tiger, Amur leopard, snow leopard and Pallas&#65533; cat. Helminths (eggs and larvae) in

excrements were studied by flotation using a saturated solution of ammonium nitrate. We have described 10 helminths species in Amur tiger feces, 6

&#65533; in Amur leopard, 2 &#65533; in snow leopard and 3 &#65533; in Pallas&#65533; cat. Obviously, snow leopard and Palls&#65533; cat had lower helminths diversity than two other

species. These differences can be explained, to some extent, by climatic parameters. The climate in the snow leopard and Pallas' cat habitats is

described by sharp and significant temperature fluctuations – the annual temperature difference can exceed 90°C, which may lead to lower survival of

the number of infectious agents in Pallas' cat excrements. In addition, the snow cover that can protect helminth eggs and larvae from the cold

temperatures especially in Amur tiger and Amur leopard habitats. Possibly, another important factor is the spatial and social organization of Pallas'

cats, with a low frequency of contacts with other individuals. Such way, species-specific differences in helminths were related, probably, with the

species evolution in different habitats		  
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  Call Number SLN @ rakhee @ Serial 1481  
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Author Maheshwari, A. , Sathyakumar, S. url  doi
  Title Snow leopard stewardship in mitigating human-wildlife conflict in Hemis National Park, Ladakh, India Type Journal Article
  Year 2019 Publication Human Dimensions of Wildlife Abbreviated Journal  
  Volume Issue Pages 1-5  
  Keywords Snow leopard; human-wildlife conflict; ecotourism; livelihood; India  
  Abstract Among large predators, snow leopards (Panthera uncia) and co-predators (e.g., wolves

Canis lupus, lynx Lynx lynx) often cause economic losses, engendering animosity from

local communities in the mountain ecosystem across south and central Asia (Din et al.,

2017; Jackson & Lama, 2016; Maheshwari, Takpa, Kujur, & Shawl, 2010; Schaller, 2012).

These economic losses range from around US $50 to nearly $300 per household,

a significant sum given per capita annual incomes of $250 – $400 (Jackson & Wangchuk,

2004; Mishra, 1997). Recent efforts such as improved livestock husbandry practices

(predator-proof livestock corrals – closed night shelters with covered roof with wiremesh

and a closely fitting iron or wooden door that can be securely locked at night) and

community-based ecotourism (e.g., home stays, guides, porters, pack animals, campsites)

are providing alternative livelihood opportunities and mitigating large carnivores – human

conflict in the snow leopard habitats (Hanson, Schutgens, & Baral, 2018; Jackson, 2015;

Jackson & Lama, 2016; Vannelli, Hampton, Namgail, & Black, 2019). Snow leopard-based

ecotourism provides an opportunity to secure livelihoods and reduce poverty of the

communities living in ecotourism sites across Ladakh (Chandola, 2012; Jackson, 2015).

To understand the role of snow leopard-based ecotourism in uplifting the financial profile

of local communities, mitigating large carnivore – human conflict and eventually changing

attitudes towards large carnivores in Hemis National Park, Ladakh, India, we compared

the estimated financial gains of a snow leopard-based ecotourism to stated livestock

predation losses by snow leopards and wolves.		  
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  Call Number SLN @ rakhee @ Serial 1484  
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Author Poyarkov, A. D., Munkhtsog, B., Korablev, M. P., Kuksin, A. N., Alexandrov, D. Y., Chistopolova, M. D.,Hernandez-Blanco, J. A., Munkhtogtokh, O., Karnaukhov, A. S., Lkhamsuren, N., Bayaraa, M., Jackson, R. M., Maheshwari, A., Rozhnov, V. V. url 
  Title Assurance of the existence of a trans-boundary population of the snow leopard (Panthera uncia) at Tsagaanshuvuut – Tsagan- Shibetu SPA at the Mongolia-Russia border Type Journal Article
  Year 2020 Publication Integrative Zoology Abbreviated Journal  
  Volume Issue 15 Pages 224-231  
  Keywords FST, home range, Panthera uncia, snow leopard, trans-boundary population  
  Abstract The existence of a trans-boundary population of the snow leopard (Panthera uncia) that inhabits the massifs of Tsagaanshuvuut (Mongolia) – Tsagan-Shibetu (Russia) was determined through non-invasive genetic analysis of scat samples and by studying the structure of territory use by a collared female individual. The genetic analysis included species identification of samples through sequencing of a fragment of the cytochrome b gene and individual identification using a panel of 8 microsatellites. The home range of a female snow leopard marked with a satellite Global Positioning System (GPS) collar was represented by the minimum convex polygon method (MCP) 100, the MCP 95 method and the fixed kernel 95 method. The results revealed insignificant genetic differentiation between snow leopards that inhabit both massifs (minimal fixation index [FST]), and the data testify to the unity of the cross-border group. Moreover, 5 common individuals were identified from Mongolian and Russian territories. This finding clearly shows that their home range includes territories of both countries. In addition, regular movement of a collared snow leopard in Mongolia and Russia confirmed the existence of a cross-border snow leopard group. These data support that trans-boundary conservation is important for snow leopards in both countries. We conclude that it is crucial for Russia to study the northern range of snow leopards in Asia.  
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  Call Number SLN @ rakhee @ Serial 1493  
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Author Rode, J., Lambert, C., Marescot, L., Chaix, B., Beesau, J., Bastian, S., Kyrbashev, J., Cabanat, A.L. pdf 
  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 Thapa, K., Schmitt, N., Pradhan, N. M. B., Acharya, H. R., Rayamajhi, S. pdf 
  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 Thapa, K., Jackson, R., Gurung, L, Acharya, H. B., Gurung, R. K., pdf 
  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 Xiao, L., Hua, F., Knops, J. M. H., Zhao, X., Mishra, C., Lovari, S., Alexander, J. S., Weckworth, B., Lu, Z. pdf 
  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 Kachel, S. M., Karimov, K., Wirsing, A. J. pdf 
  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 Kachel, S., Anderson, K., Shokirov, Q. pdf 
  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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Author Filla, M., Lama, R. P., Filla, T., Heurich, M., Balkenhol, N., Waltert, M., Khorozyan, I. url  doi
  Title Patterns of livestock depredation by snow leopards and effects of intervention strategies: lessons from the Nepalese Himalaya Type Journal Article
  Year 2022 Publication Wildlife Research Abbreviated Journal  
  Volume Issue Pages  
  Keywords Annapurna, co-existence, conservation biology, highland communities, human–wildlife conflict, large carnivore, livestock depredation, Panthera uncia, prey selection, snow leopard.  
  Abstract Context: Large carnivores are increasingly threatened by anthropogenic activities, and their protection is among the main goals of biodiversity conservation. The snow leopard (Panthera uncia) inhabits high-mountain landscapes where livestock depredation drives it into conflicts with local people and poses an obstacle for its conservation.

Aims: The aim of this study was to identify the livestock groups most vulnerable to depredation, target them in implementation of practical interventions, and assess the effectiveness of intervention strategies for conflict mitigation. We present a novel attempt to evaluate intervention strategies for particularly vulnerable species, age groups, time, and seasons.

Methods: In 2020, we conducted questionnaire surveys in two regions of the Annapurna Conservation Area, Nepal (Manang, n = 146 respondents and Upper Mustang, n = 183). We applied sample comparison testing, Jacobs’ selectivity index, and generalised linear models (GLMs) to assess rates and spatio-temporal heterogeneity of depredation, reveal vulnerable livestock groups, analyse potential effects of applied intervention strategies, and identify husbandry factors relevant to depredation.

Key results: Snow leopard predation was a major cause of livestock mortality in both regions (25.4–39.8%), resulting in an estimated annual loss of 3.2–3.6% of all livestock. The main intervention strategies (e.g. corrals during night-time and herding during daytime) were applied inconsistently and not associated with decreases in reported livestock losses. In contrast, we found some evidence that dogs, deterrents (light, music playing, flapping tape, and dung burning), and the use of multiple interventions were associated with a reduction in reported night-time depredation of yaks.

Conclusions and implications: We suggest conducting controlled randomised experiments for quantitative assessment of the effectiveness of dogs, deterrents, and the use of multiple interventions, and widely applying the most effective ones in local communities. This would benefit the long-term co-existence of snow leopards and humans in the Annapurna region and beyond.		  
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Author Feng, X., Peng, Q., Chen, Y., Li, W. pdf 
  Title A Case Study of the Snow Leopard in Sanjiangyuan National Park Boundaries regarding Park Boundary Divergence Type Journal Article
  Year 2022 Publication Land Abbreviated Journal  
  Volume 11 Issue 813 Pages 1-15  
  Keywords boundary divergence; national park; global warming; snow leopard; Sanjiangyuan National Park  
  Abstract This paper uses remote sensing data from the Sanjiangyuan National Park (SNP) to explore the divergence between the boundaries of national parks and the distribution of natural habitats. Results are used to argue that these discrepancies evolve along with the potential impact of global warming. Using the example of the habitat change of snow leopards and the conflicts between local people and snow leopards, we reflect on the consequences of this divergence. Results show that divergence between the political boundaries and natural habitats as well as the consequent influence on the living conditions of local people are strikingly visible, and the effects of global warming on such conflicts are apparent. The authors conclude that both notions of ‘political boundaries’ and ‘natural habitats’ are expected to come together as the SNP region is spatially configured, while ‘global warming’ seems to be relevant as an essential reference when delimiting the region in the future. Finally, the proposal for the establishment of cooperative conservation areas is presented,

emphasizing the role of cooperative governance in/around national parks.		  
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  Call Number SLN @ rakhee @ Serial 1687  
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Author Alexander, J. S., Bijoor, A., Gurmet, K., Murali, R., Mishra, C., Suryawanshi, K. R. pdf 
  Title Engaging women brings conservation benefits to snow leopard landscapes Type Journal Article
  Year 2022 Publication Environmental Conservation Abbreviated Journal  
  Volume Issue Pages 1 - 7  
  Keywords community conservation; gender; large carnivores; snow leopard; women  
  Abstract Protection of biodiversity requires inclusive and gender-responsive programming. Evidence of success in engaging women in large carnivore conservation remains scarce, however, although women play an important role in caring for livestock at risk of predation and could contribute to large-carnivore conservation. We aimed to assess the performance of an income-generation and skills-building programme for women in Spiti Valley (India) that sought to engage women in local conservation action. Annual programme monitoring together with a one-time survey of attitudes, perceptions and social norms in eight communities exposed to the conservation programme and seven ‘control’ communities revealed: a keen interest and increasing levels of women’s participation over 7 years of programme operation; participant reports of multiple programme benefits including additional personal income, social networking and travel opportunities; and more positive attitudes towards snow leopards among programme participants than among non-participants in the control communities. Women from programme communities recorded in their diaries 33 self-directed conservation actions including improving livestock protection and preventing wildlife poaching. These results show a way forward to purposively engage women in conservation programming towards achieving sustainable and equitable outcomes in efforts to promote carnivore–human coexistence.  
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  Call Number SLN @ rakhee @ Serial 1689  
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Author Salvatori, M., Oberosler, V., Augugliaro, C., Krofel, M., Rovero, F. pdf 
  Title Effects of free-ranging livestock on occurrence and interspecific interactions of a mammalian community Type Journal Article
  Year 2022 Publication Ecological-Applications. Abbreviated Journal  
  Volume Issue e2644 Pages 1-13  
  Keywords activity pattern, community occupancy, grassland, interspecific interactions, livestock encroachment, snow leopard  
  Abstract Mammalian communities inhabiting temperate grasslands are of conservation concern globally, especially in Central Asia, where livestock numbers have dramatically increased in recent decades, leading to overgrazing and land-use change. Yet, how this pervasive presence of livestock herds affects the community of wild mammals remains largely unstudied. We used systematic camera trapping at 216 sites across remote, mountainous areas of the Mongolian Altai Mountains to assess the spatial and temporal patterns of occurrence and the interspecific relationships within a mammalian community that includes different categories of livestock. By adopting a recently proposed multispecies occupancy model that incorporates interspecific correlation in occupancy, we found several statistically strong correlations in occupancy among species pairs, with the majority involving livestock. The sign of such associations was markedly species-dependent, with larger wild species of conservation concern, namely, snow leopard and Siberian ibex, avoiding livestock presence. As predicted, we found evidence of a positive correlation in occupancy between predators and their respective main prey. Contrary to our expectations, a number of intraguild species pairs also showed positive co-occurrence, with no evidence of spatiotemporal niche partitioning. Overall, our study suggests that livestock encroaching into protected areas influences the whole local community of wild mammals. Though pastoralism has coexisted with wildlife for millennia in central Asian grasslands, our findings suggest that policies and practices to decrease the pressure of livestock husbandry on wildlife are needed, with special attention on large species, such as the snow leopard and its wild prey, which seem to be particularly sensitive to this pervasive livestock presence.  
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Author Kachel, S., Bayrakcismith, R., Kubanychbekov, Z., Kulenbekov, R., McCarthy, T., Weckworth, B., Wirsing, A. pdf 
  Title Ungulate spatiotemporal responses to contrasting predation risk from wolves and snow leopards Type Journal Article
  Year 2022 Publication Journal of Animal Ecology Abbreviated Journal  
  Volume Issue Pages 1-16  
  Keywords landscape of fear, multiple-predator effects, non-consumptive effects, predation-risk effects, predator facilitation, risk allocation, snow leopard, wolf  
  Abstract 1. Spatial responses to risk from multiple predators can precipitate emergent consequences for prey (i.e. multiple-predator effects, MPEs) and mediate indirect interactions between predators. How prey navigate risk from multiple predators may therefore have important ramifications for understanding the propagation of predation-risk effects (PREs) through ecosystems.

2. The interaction of predator and prey traits has emerged as a potentially key driver of antipredator behaviour but remains underexplored in large vertebrate systems, particularly where sympatric prey share multiple predators. We sought to better generalize our understanding of how predators influence their ecosystems by considering how multiple sources of contingency drive prey distribution in a multi-predator–multi-prey system.

3. Specifically, we explored how two sympatric ungulates with different escape tactics—vertically agile, scrambling ibex Capra sibirica and sprinting argali Ovis ammon—responded to predation risk from shared predators with contrasting hunting modes—cursorial wolves Canis lupus and vertical-ambushing, stalking snow leopards Panthera uncia.

4. Contrasting risk posed by the two predators presented prey with clear trade-offs. Ibex selected for greater exposure to chronic long-term risk from snow leopards, and argali for wolves, in a nearly symmetrical manner that was predictable based on the compatibility of their respective traits. Yet, acute short-term risk from the same predator upended these long-term strategies, increasing each ungulates' exposure to risk from the alternate predator in a manner consistent with a scenario in which conflicting antipredator behaviours precipitate risk-enhancing MPEs and mediate predator facilitation. By contrast, reactive responses to wolves led ibex to reduce their exposure to risk from both predators—a risk-reducing MPE. Evidence of a similar reactive risk-reducing effect for argali vis-à-vis snow leopards was lacking.

5. Our results suggest that prey spatial responses and any resulting MPEs and prey-mediated interactions between predators are contingent on the interplay of hunting mode and escape tactics. Further investigation of interactions among various drivers of contingency in PREs will contribute to a more comprehensive understanding and improved forecasting of the ecological effects of predators.		  
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Author Bohnett, E., Faryabi, S. P., Lewison, R., An, L., Bian, X., Rajabi, A. M., Jahed, N., Rooyesh, H., Mills, E., Ramos, S., Mesnildrey, N., Perez, C. M. S., Taylor, J., Terentyev, V., Ostrowski, S. pdf 
  Title Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies Type Journal Article
  Year 2023 Publication Global Ecology & Conservation Abbreviated Journal  
  Volume 41 Issue e02350 Pages 1-13  
  Keywords Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter  
  Abstract Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates.  
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  Call Number SLN @ rakhee @ Serial 1715  
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Author Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. pdf 
  Title Research trends and management options in human-snow leopard conflict Type Journal Article
  Year 2020 Publication Biological Conservation Abbreviated Journal  
  Volume 242 Issue 108413 Pages 1-10  
  Keywords Snow leopards, Systematic review, Compensation, Co-existence, Livestock, Human-wildlife conflict, Mitigation  
  Abstract Conservation of the snow leopard (Panthera uncia) is challenging because of its threatened status and increase in human-snow leopard conflict (HSC). The area of occupancy of the snow leopard comprises mountainous regions of Asia that are confronted with various environmental pressures including climate change. HSCs have increased with a burgeoning human population and economic activities that enhance competition between human and snow leopard or its preys. Here we systematically review the peer-reviewed literature from 1994 to 2018 in Web of Science, Google Scholar, Science Direct and PubMed (30 articles), to evaluate the current state of scholarship about HSCs and their management. We determine: 1) the spatio-temporal distribution of relevant researches; 2) the methodologies to assess HSCs; 3) and evaluate existing interventions for conflict management; and 4) the potential options for HSC management. The aim of the current study is thus to identify key research gaps and future research requirements. Of the articles in this review, 60% evaluated the mitigation of HSCs, while only 37% provided actionable and decisive results. Compensation programs and livestock management strategies had high success rates for mitigating HSCs through direct or community-managed interventions. Further research is required to evaluate the efficacy of existing HSC mitigation strategies, many of which, while recommended, lack proper support. In spite of the progress made in HSC studies, research is needed to examine ecological and sociocultural context of HSCs. We suggest future work focus on rangeland management for HSC mitigation, thus ultimately fostering a co-existence between human and snow leopard.  
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  Call Number SLN @ rakhee @ Serial 1716  
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Author Atzeni, L., Wang, J., Riordan, P., Shi, K., Cushman, S. A. pdf 
  Title Landscape resistance to gene flow in a snow leopard population from Qilianshan National Park, Gansu, China Type Journal Article
  Year 2023 Publication Landscape Ecology Abbreviated Journal  
  Volume Issue Pages  
  Keywords Landscape genetics · MLPE · Gene flow · Genetic distance · Isolation by distance · Isolation by resistance · Landscape resistance · Snow leopard · Principal component analysis  
  Abstract Context: The accurate estimation of landscape resistance to movement is important for ecological understanding and conservation applications. Rigorous estimation of resistance requires validation and optimization. One approach uses genetic data for the optimization or validation of resistance models. Objectives We used a genetic dataset of snow leopards from China to evaluate how landscape genetics resistance models varied across genetic distances and spatial scales of analysis. We evaluated whether landscape genetics models were superior to models of resistance derived from habitat suitability or isolation-by-distance.

Methods: We regressed genetically optimized, habitat-based, and isolation-by-distance hypotheses against genetic distances using mixed effect models. We explored all subset combinations of genetically optimized variables to find the most supported resistance scenario for each genetic distance.

Results: Genetically optimized models always out-performed habitat-based and isolation-by-distance hypotheses. The choice of genetic distances influenced the apparent influence of variables, their spatial scales and their functional response shapes, producing divergent resistance scenarios. Gene flow in snow leopards was largely facilitated by areas of intermediate ruggedness at intermediate elevations corresponding to small-to-large valleys within and between the mountain ranges.

Conclusions: This study highlights that landscape genetics models provide superior estimation of functional dispersal than habitat surrogates and suggests that optimization of genetic distance should be included as an optimization routine in landscape genetics, along with variables, scales, effect size and functional response shape. Furthermore, our study provides new insights on the ecological conditions that promote gene flow in snow leopards, which expands ecological knowledge, and we hope will improve conservation planning.		  
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Author Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. pdf 
  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 Kichloo, M. A., Sharma, K., Sharma, N. pdf 
  Title Climate casualties or human disturbance? Shrinking distribution of the three large carnivores in the Greater Himalaya Type Journal Article
  Year 2023 Publication Springer – Climatic Change Abbreviated Journal  
  Volume 176 Issue 118 Pages 1-17  
  Keywords Snow leopard · Common leopard · Asiatic black bear · Climate change · Multi- season occupancy analysis · Local ecological knowledge · Imperfect detection  
  Abstract Mammalian carnivores are key to our understanding of ecosystem dynamics, but most of them are threatened with extinction all over the world. Conservating large carnivores is often an arduous task considering the complex relationship between humans and carnivores, and the diverse range and reasons of threats they face. Climate change is exacerbating the situation further by interacting with most existing threats and amplifying their impacts. The Mountains of Central and South Asia are warming twice as rapidly as the rest of the northern hemisphere. There has been limited research on the effect of climate change and other variables on large carnivores. We studied the patterns in spatio-temporal distribution of three sympatric carnivores, common leopard, snow leopard, and Asiatic black bear in Kishtwar high altitude National Park, a protected area in the Great Himalayan region of Jammu and Kashmir. We investigated the effects of key habitat characteristics as well as human disturbance and climatic factors to understand the spatio-temporal change in their distributions between the early 1990s and around the year 2016–2017. We found a marked contraction in the distribution of the three carnivores between the two time periods. While snow leopard shifted upwards and further away from human settlements, common leopard and Asiatic black bear suffered higher rates of local extinctions at higher altitudes and shifted to lower areas with more vegetation, even if that brought them closer to settlements. We also found some evidence that snow leopards were less likely to have faced range contraction in areas with permanent glaciers. Our study underscores the importance of climate adaptive conservation practices for long-term management in the Greater Himalaya, including the monitoring of changes in habitat, and space-use patterns by human communities and wildlife.  
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  Call Number SLN @ rakhee @ Serial 1724  
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Author Zhang, C., Ma, T., Ma, D. pdf 
  Title Status of the snow leopard Panthera uncia in the Qilian Mountains, Gansu Province, China Type Journal Article
  Year 2023 Publication Oryx Abbreviated Journal  
  Volume Issue Pages 1-6  
  Keywords Camera trapping, China, density, Panthera uncia, Qilian Mountains, snow leopard, spatially explicit capture–recapture  
  Abstract Population density estimation is integral to the effective conservation and management of wildlife. The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List, and reliable information on its density is a prerequisite for its conservation and management. Little is known about the status of the snow leopard in the central and eastern Qilian Mountains, China. To address this, we estimated the population density of the snow leopard using a spatially explicit capture–recapture model based on camera trapping in Machang in the central and eastern Qilian Mountains during January–March 2019. We set up

40 camera traps and recorded 84 separate snow leopard captures over 3,024 trap-days. We identified 18 individual snow leopards and estimated their density to be 2.26/100 km. Our study provides baseline information on the snow leopard and the first population estimate for the species in the central and eastern Qilian Mountains.		  
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  Call Number SLN @ rakhee @ Serial 1725  
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