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| Author | Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. | ||||
| Title | How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas | Type | Journal Article | ||
| Year | 2022 | Publication | Journal of Resources and Ecology | Abbreviated Journal | |
| Volume | 13 | Issue | 3 | Pages | 483-500 |
| Keywords | habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia | ||||
Abstract  |
The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1698 | ||
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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 | Islam, M., Sahana, M., Areendran, G., Jamir, C., Raj, K., Sajjad, H. | ||||
| Title | Prediction of potential habitat suitability of snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) and niche overlap in the parts of western Himalayan region | Type | Journal Article | ||
| Year | 2023 | Publication | Geo: Geography and Environment | Abbreviated Journal | |
| Volume | 10 | Issue | e00121 | Pages | 1-15 |
| Keywords | bioclimatic variables, habitat suitability, MaxEnt model, niche overlap, western Himalayan region | ||||
| Abstract |
The snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) are the inhabitants of remote areas at higher altitudes with extreme geographic and climatic conditions. The habitats of these least-studied species are crucial for sustaining the Himalayan ecosystem. We employed the Maximum Entropy (MaxEnt) species distribution model to predict the potential habitat suitability of snow leopards and blue sheep and extracted common overlapped niches. For this, we utilised presence location, bio-climatic and environmental variables, and correlation analysis was applied to reduce the negative impact of multicollinearity. A total of 134 presence locations of snow leopards and 64 for blue sheep were selected from the Global Biodiversity Information Facility (GBIF). The annual mean temperature (Bio1) was found to be the most useful and highly influential factor to predict the potential habitat suitability of snow leopards. Annual mean temperature, annual precipitation and isothermality were the major influencing factors for blue sheep habitat suitability. Highly influential bio-climatic, topographic and environmental variables were integrated to construct the model for predicting habitat suitability. The area under the curve (AUC) values for snow leopard (0.87) and blue sheep (0.82) showed that the models are under good representation. Of the total area investigated, 47% was suitable for the blue sheep and 38% for the snow leopards. Spatial habitat assessment revealed that nearly 11% area from the predicted suitable habitat class of both species was spatially matched (overlapped), 48.6% area was unsuitable under niche overlap and 40.5% area was spatially mismatched niche. The presence of snow leopards and blue sheep in some highly suitable areas was not observed, yet such areas have the potential to sustain these elusive species. The other geographical regions interested in exploring habitat suitability may find the methodological framework adopted in this study useful for formulating an effective conservation policy and management strategy. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1719 | ||
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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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| Notes | Approved | no | |||
| Call Number | Serial | 1633 | |||
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| Author | Nawaz, M. A., Khan, B. U., Mahmood, A., Younas, M., Din, J. U, Sutherland, C. | ||||
| Title | An empirical demonstration of the effect of study design on density estimations | Type | Journal Article | ||
| Year | 2021 | Publication | Nature | Abbreviated Journal | |
| Volume | 11 | Issue | 13104 | Pages | 1-9 |
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| Abstract |
The simultaneous development of technology (e.g. camera traps) and statistical methods, particularly spatially capture–recapture (SCR), has improved monitoring of large mammals in recent years. SCR estimates are known to be sensitive to sampling design, yet existing recommendations about trap spacing and coverage are often not achieved, particularly for sampling wide-ranging and rare species in landscapes that allow for limited accessibility. Consequently, most camera trap studies on large wide-ranging carnivores relies on convenience or judgmental sampling, and often yields compromised results. This study attempts to highlight the importance of carefully considered sampling design for large carnivores that, because of low densities and elusive behavior, are challenging to monitor. As a motivating example, we use two years of snow leopard camera trapping data from the same areas in the high mountains of Pakistan but with vastly different camera configurations, to demonstrate that estimates of density and space use are indeed sensitive to the trapping array. A compact design, one in which cameras were placed much closer together than generally recommended and therefore have lower spatial coverage, resulted in fewer individuals observed, but more recaptures, and estimates of density and space use were inconsistent with expectations for the region. In contrast, a diffuse design, one with larger spacing and spatial coverage and more consistent with general recommendations, detected more individuals, had fewer recaptures, but generated estimates of density and space use that were in line with expectations. Researchers often opt for compact camera configurations while monitoring wide-ranging and rare species, in an attempt to maximize the encounter probabilities. We empirically demonstrate the potential for biases when sampling a small area approximately the size of a single home range—this arises from exposing fewer individuals than deemed sufficient for estimation. The smaller trapping array may also underestimate density by significantly inflating ?. On the other hand, larger trapping array with fewer detectors and poor design induces uncertainties in the estimates. We conclude that existing design recommendations have limited utility on practical grounds for devising feasible sampling designs for large ranging species, and more research on SCR designs is required that allows for integrating biological and habitat traits of large carnivores in sampling framework. We also suggest that caution should be exercised when there is a reliance on convenience sampling. | ||||
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| Call Number | Serial | 1642 | |||
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| Author | Nawaz, M. A., Khan, B. U., Mahmood, A., Younas, M., Din, J. U, Sutherland, C. | ||||
| Title | An empirical demonstration of the effect of study design on density estimations | Type | Journal Article | ||
| Year | 2021 | Publication | Nature | Abbreviated Journal | |
| Volume | 11 | Issue | 13104 | Pages | 1-9 |
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| Abstract |
The simultaneous development of technology (e.g. camera traps) and statistical methods, particularly spatially capture–recapture (SCR), has improved monitoring of large mammals in recent years. SCR estimates are known to be sensitive to sampling design, yet existing recommendations about trap spacing and coverage are often not achieved, particularly for sampling wide-ranging and rare species in landscapes that allow for limited accessibility. Consequently, most camera trap studies on large wide-ranging carnivores relies on convenience or judgmental sampling, and often yields compromised results. This study attempts to highlight the importance of carefully considered sampling design for large carnivores that, because of low densities and elusive behavior, are challenging to monitor. As a motivating example, we use two years of snow leopard camera trapping data from the same areas in the high mountains of Pakistan but with vastly different camera configurations, to demonstrate that estimates of density and space use are indeed sensitive to the trapping array. A compact design, one in which cameras were placed much closer together than generally recommended and therefore have lower spatial coverage, resulted in fewer individuals observed, but more recaptures, and estimates of density and space use were inconsistent with expectations for the region. In contrast, a diffuse design, one with larger spacing and spatial coverage and more consistent with general recommendations, detected more individuals, had fewer recaptures, but generated estimates of density and space use that were in line with expectations. Researchers often opt for compact camera configurations while monitoring wide-ranging and rare species, in an attempt to maximize the encounter probabilities. We empirically demonstrate the potential for biases when sampling a small area approximately the size of a single home range—this arises from exposing fewer individuals than deemed sufficient for estimation. The smaller trapping array may also underestimate density by significantly inflating | ||||
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| Call Number | SLT @ jeffb @ | Serial | 1652 | ||
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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 | Luxom, N. M., Singh, R., Theengh, L., Shrestha, P., Sharma, R. K. | ||||
| Title | Pastoral practices, pressures, Pastoralism: Research, Policy and Practice Open Access and human-wildlife relations in high altitude rangelands of eastern Himalaya: A case study of the Dokpa pastoralists of North Sikkim | Type | Journal Article | ||
| Year | 2022 | Publication | Springer Open | Abbreviated Journal | |
| Volume | 12 | Issue | 37 | Pages | 1-19 |
| Keywords | Pastoralism, Socio-political stresses, Institutions, Climatic change, Free-ranging dogs, Participatory rangeland conservation | ||||
| Abstract |
The pastoral practices of the Dokpa herders of North Sikkim have been transforming in response to the geo-political and socio-economic changes in the region. Against the backdrop of these changes, this study aims to understand the current state of pastoralism in North Sikkim with three specific objectives: (i) to understand the current rangeland management practices of the Dokpa community; (ii) to examine the social, political and ecological stresses to continuity of traditional pastoral livelihoods; and (iii) to document the baseline on human-wildlife relations. We focused on one of the two subset populations of Dokpa herders of North Sikkim and, using a mixed-methods approach, conducted 12 semi-structured interviews, four key respondent interviews and two focused group discussions. The resource use by the Dokpas is unique, and unlike the rest of the Himalayan range, they access the high-altitude pastures in winters and the lower ones in summer. Pastures in the higher altitudes experience heavier winds, which leads to lower levels of snow deposition — thus ensuring access to dried pasture forage for livestock during the lean season. The decisions pertaining to resource management are taken by the head of the local institution Dzumsa, the Pipon. Primary stresses to the continuation of traditional pastoral practices are fragmentation of pastureland post- Sino-Indian war of 1962 and the consequent establishment of armed forces, livestock depredation by free-ranging dogs followed by wild predators and continued socio-economic marginalisation of the pastoralists under a supposedly egalitarian institutional regime. Extreme climatic events in the recent past have also contributed to significant livestock loss. Dokpa transhumant practices are on an overall decline, with most members of the younger generation shifting to non-herding livelihoods. The availability of alternate livelihood options with the improved connectivity, access to education and development of the tourism industry has led to changing aspirations of the younger generations. In only two of the twelve households we surveyed, the younger generation continues herding, while the rest have moved to the cities and towns. In terms of human-wildlife relations, the respondents mostly hold a positive attitude towards wildlife and conservation actions despite livestock predation by wild predators, since the free-ranging dogs cause the highest livestock loss. With the inputs from the Dokpas, we provide recommendations towards a facilitative environment for the continuation of the traditional herding in the region, which is critical for the survival of pastoralism in North Sikkim, presently hinged on less than two dozen of elderly Dokpas. | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1700 | ||
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| Author | Robinson, J. J., Crichlow, A. D., Hacker, C. E., Munkhtsog, B., Munkhtsog, B., Zhang, Y., Swanson, W. F., Lyons, L. A., Janecka, J. E. | ||||
| Title | Genetic Variation in the Pallas’s Cat (Otocolobus manul) in Zoo-Managed and Wild Populations | Type | Journal Article | ||
| Year | 2024 | Publication | Diversity | Abbreviated Journal | |
| Volume | 16 | Issue | 228 | Pages | 1-13 |
| Keywords | Otocolobus manul; microsatellites; zoo-managed population; mitochondrial 12S ribosomal RNA; endothelial PAS domain protein 1 | ||||
| Abstract |
The Pallas’s cat (Otocolobus manul) is one of the most understudied taxa in the Felidae family. The species is currently assessed as being of “Least Concern” in the IUCN Red List, but this assessment is based on incomplete data. Additional ecological and genetic information is necessary for the long-term in situ and ex situ conservation of this species. We identified 29 microsatellite loci with sufficient diversity to enable studies into the individual identification, population structure, and phylogeography of Pallas’s cats. These microsatellites were genotyped on six wild Pallas’s cats from the Tibet Autonomous Region and Mongolia and ten cats from a United States zoo-managed population that originated in Russia and Mongolia. Additionally, we examined diversity in a 91 bp segment of the mitochondrial 12S ribosomal RNA (MT-RNR1) locus and a hypoxia-related gene, endothelial PAS domain protein 1 (EPAS1). Based on the microsatellite and MT-RNR1 loci, we established that the Pallas’s cat displays moderate genetic diversity. Intriguingly, we found that the Pallas’s cats had one unique nonsynonymous substitution in EPAS1 not present in snow leopards (Panthera uncia) or domestic cats (Felis catus). The analysis of the zoo-managed population indicated reduced genetic diversity compared to wild individuals. The genetic information from this study is a valuable resource for future research into and the conservation of the Pallas’s cat. | ||||
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| Call Number | SLN @ rakhee @ | Serial | 1749 | ||
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| Author | Nature Conservation Division; Department of Forests and Park Services; Ministry of Energy and Natural Resources; Royal Government of Bhutan | ||||
| Title | Snow Leopard Status in Bhutan – National Snow Leopard Survey Report 2022-2023 | Type | Report | ||
| Year | 2023 | Publication | NSLS Report | Abbreviated Journal | |
| Volume | Issue | Pages | 1-82 | ||
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| Abstract |
The National Snow Leopard Survey (NSLS) report 2022-2023 provides an updated status of the snow leopard in Bhutan. The report is an outcome of the camera trapping survey spanning five protected areas namely Jigme Khesar Strict Nature Reserve, Jigme Dorji National Park, Wangchuck Centennial National Park, Bumdeling Wildlife Sanctuary and Jigme Singye Wangchuck National Park and two Divisional Forest Offices of Paro and Thimphu. A total of 310 camera stations were setup across the field sites that accumulated a survey effort of 22,636 trap nights, with over 10,000 images of snow leopards captured. A careful review of 476 images identified 96 adult individuals and 10 cubs across the landscape. Bayesian-based Spatially Explicit Capture Recapture (SECR) modelling estimated 134 snow leopards, as compared to the 2016 baseline of 96 individuals. Snow leopard density was estimated at 1.34 snow leopards per 100 km2 with the possibility of higher density in western Bhutan than in central and eastern Bhutan. Habitat distribution modeling also suggests more suitable habitats in western Bhutan as compared to other regions. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1740 | ||
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