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Author | Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. | ||||
Title | Sampling bias in snow leopard population estimation studies | Type | Journal Article | ||
Year | 2019 | Publication | Population Eccology | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
1-9 | ||
Keywords | camera trap, Central Asia, Himalaya, meta-analysis, monitoring, Panthera uncia, population ecology | ||||
Abstract | Accurate assessments of the status of threatened species and their conservation planning require reliable estimation of their global populations and robust monitoring of local population trends. We assessed the adequacy and suitability of studies in reliably estimating the global snow leopard (Panthera uncia) population. We compiled a dataset of all the peer-reviewed published literature on snow leopard population estimation. Metadata analysis showed estimates of snow leopard density to be a negative exponential function of area, suggesting that study areas have generally been too small for accurate density estimation, and sampling has often been biased towards the best habitats. Published studies are restricted to six of the 12 range countries, covering only 0.3�0.9% of the presumed global range of the species. Re-sampling of camera trap data from a relatively large study site (c.1684 km2) showed that small-sized study areas together with a bias towards good quality habitats in existing studies may have overestimated densities by up to five times. We conclude that current information is biased and inadequate for generating a reliable global population estimate of snow leopards. To develop a rigorous and useful baseline and to avoid pitfalls, there is an urgent need for (a) refinement of sampling and analytical protocols for population estimation of snow leopards (b) agreement and coordinated use of standardized sampling protocols amongst researchers and governments across the range, and (c) sampling larger and under-represented areas of the snow leopard's global range. |
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Call Number | SLN @ rakhee @ | Serial | 1477 | ||
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Author | Chetri, M, Odden, M., Sharma, K., Flagstad, O., Wegge, P | ||||
Title | Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal | Type | Journal Article | ||
Year | 2019 | Publication | Global Ecology and Conservation | Abbreviated Journal | |
Volume | Issue | 17 | Pages ![]() |
1-8 | |
Keywords | Panthera uncia, Density, Annapurna-Manaslu landscape, Noninvasive, Spatial scale | ||||
Abstract | Although abundance estimates have a strong bearing on the conservation status of a species, less than 2% of the global snow leopard distribution range has been sampled systematically, mostly in small survey areas. In order to estimate snow leopard density across a large landscape, we collected 347 putative snow leopard scats from 246 transects (490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna- Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using maximum likelihood based spatial capture recapture analysis, we developed candidate model sets to test effects of various covariates on density and detection of scats on transects. The best models described the variation in density as a quadratic function of elevation and detection as a linear function of topography. The average density estimate of snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2 (0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts, thus highlighting the heterogeneity in densities as a function of habitat types. Our density estimate was low compared to previous estimates from smaller study areas. Probably, estimates from some of these areas were inflated due to locally high abundances in overlap zones (hotspots) of neighboring individuals, whose territories probably range far beyond study area borders. Our results highlight the need for a large-scale approach in snow leopard monitoring, and we recommend that methodological problems related to spatial scale are taken into account in future snow leopard research. |
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Call Number | SLN @ rakhee @ | Serial | 1478 | ||
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Author | Li, J., Weckworth, B. V., McCarthy, T. M., Liang, X., Liu, Y., Xing, R., Li, D., Zhang, Y., Xue, Y., Jackson, R., Xiao, L., Cheng, C., Li, S., Xu, F., Ma, M., Yang, X., Diao, K., Gao, Y., Song, D., Nowell, K., He, B., Li, Y., McCarthy, K., Paltsyn, M. Y., Sharma, K., Mishra, C., Schaller, G. B., Lu, Z., Beissinger, S. R. | ||||
Title | Defining priorities for global snow leopard conservation landscapes | Type | Journal Article | ||
Year | 2019 | Publication | Biological Conservation | Abbreviated Journal | |
Volume | 241 | Issue | 108387 | Pages ![]() |
1-10 |
Keywords | Panthera uncia, Conservation prioritization, Landscape Conservation Unit, Connectivity, Linkage | ||||
Abstract | The snow leopard (Panthera uncia) is an apex predator on the Tibetan Plateau and in the surrounding mountain ranges. It is listed as Vulnerable in the IUCN's Red List. The large home range and low population densities of this species mandate range-wide conservation prioritization. Two efforts for range-wide snow leopard conservation planning have been conducted based on expert opinion, but both were constrained by limited knowledge and the difficulty of evaluating complex processes, such as connectivity across large landscapes. Here, we compile > 6000 snow leopard occurrence records from across its range and corresponding environmental covariates to build a model of global snow leopard habitat suitability. Using spatial prioritization tools, we identi!ed seven large continuous habitat patches as global snow leopard Landscape Conservation Units (LCUs). Each LCU faces differing threat levels from poaching, anthropogenic development, and climate change. We identi!ed ten po- tential inter-LCU linkages, and centrality analysis indicated that Tianshan-Pamir-Hindu Kush-Karakorum, Altai, and the linkage between them play a critical role in maintaining the global snow leopard habitat connectivity. | ||||
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Call Number | SLN @ rakhee @ | Serial | 1490 | ||
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Author | Aruge, S., Batool, H., Khan, F. M., Abbas, F. I., Janjua, S | ||||
Title | A pilot study�genetic diversity and population structure of snow leopards of Gilgit-Baltistan, Pakistan, using molecular techniques. | Type | Journal Article | ||
Year | 2019 | Publication | PeerJ | Abbreviated Journal | |
Volume | Issue | 7672 | Pages ![]() |
1-14 | |
Keywords | Population, Genetics, Panthera uncia, Pakistan, Molecular markers | ||||
Abstract | Background: The Hindu Kush and Karakoram mountain ranges in Pakistan�s northern areas are a natural habitat of the snow leopard (Panthera uncia syn. Uncia uncia) but the ecological studies on this animal are scarce since it is human shy by nature and lives in dif!cult mountainous tracts. The pilot study is conducted to exploit the genetic diversity and population structure of the snow leopard in this selected natural habitat of the member of the wildcat family in Pakistan. Method: About 50 putative scat samples of snow leopard from !ve localities of Gilgit-Baltistan (Pakistan) along with a control sample of zoo maintained male snow leopard were collected for comparison. Signi!cant quality and quantity of genomic DNA was extracted from scat samples using combined Zhang�phenol�chloroform method and successful ampli!cation of cytochrome c oxidase I gene (190 bp) using mini-barcode primers, seven simple sequence repeats (SSR) markers and Y-linked AMELY gene (200 bp) was done. Results: Cytochrome c oxidase I gene sequencing suggested that 33/50 (66%) scat samples were of snow leopard. AMELY primer suggested that out of 33 ampli!ed samples, 21 (63.63%) scats were from male and 12 (36.36%) from female leopards. Through successful ampli!cation of DNA of 25 out of 33 (75.75%) scat samples using SSR markers, a total of 68 alleles on seven SSR loci were identi!ed, showing low heterozygosity, while high gene "ow between population. Discussion: The low gene flow rate among the population results in low genetic diversity causing decreased diversi!cation. This affects the adaptability to climatic changes, thus ultimately resulting in decreased population size of the species. |
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Call Number | SLN @ rakhee @ | Serial | 1491 | ||
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Author | Samelius, G., Suryawanshi, K., Frank, J., Agvaantseren, B., Baasandamba, E., Mijiddorj, T., Johansson, O., Tumursukh, L., Mishra, C. | ||||
Title | Keeping predators out: testing fences to reduce livestock depredation at night-time corrals | Type | Journal Article | ||
Year | 2020 | Publication | Oryx | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
1-7 | ||
Keywords | Canis lupus, carnivore conservation, coexistence, conflict mitigation, conservation conflict, livestock depreda- tion, Panthera uncia, preventative measure | ||||
Abstract | Livestock depredation by large carnivores is a global conservation challenge, and mitigation measures to reduce livestock losses are crucial for the coexistence of large carnivores and people. Various measures are employed to reduce livestock depredation but their effectiveness has rarely been tested. In this study, we tested the effectiveness of tall fences to reduce livestock losses to snow leopards Panthera uncia and wolves Canis lupus at night-time corrals at the winter camps of livestock herders in the Tost Mountains in southern Mongolia. Self-reported livestock losses at the fenced corrals were reduced from a mean loss of 3.9 goats and sheep per family and winter prior to the study to zero losses in the two winters of the study. In contrast, self-reported livestock losses in winter pastures, and during the rest of the year, when herders used different camps, remained high, which indicates that livestock losses were reduced because of the fences, not because of temporal variation in predation pressure. Herder attitudes towards snow leopards were positive and remained positive during the study, whereas attitudes towards wolves, which attacked livestock also in summer when herders moved out on the steppes, were negative and worsened during the study. This study showed that tall fences can be very effective at reducing night-time losses at corrals and we conclude that fences can be an important tool for snow leopard conservation and for facilitating the coexistence of snow leopards and people. | ||||
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Call Number | SLN @ rakhee @ | Serial | 1492 | ||
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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 | 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 | Chetri, M., Odden, M., Devineau, O., McCarthy, T., Wegge, P. | ||||
Title | Multiple factors influence local perceptions of snow leopards and Himalayan wolves in the central Himalayas, Nepal. | Type | Journal Article | ||
Year | 2020 | Publication | PeerJ | Abbreviated Journal | |
Volume | Issue | Pages ![]() |
1-18 | ||
Keywords | Panthera uncia, Canis lupus chanco, Perceptions, Large carnivores, Trans-Himalayas | ||||
Abstract | An understanding of local perceptions of carnivores is important for conservation and management planning. In the central Himalayas, Nepal, we interviewed 428 individuals from 85 settlements using a semi-structured questionnaire to quantitatively assess local perceptions and tolerance of snow leopards and wolves. We used generalized linear mixed effect models to assess influential factors, and found that tolerance of snow leopards was much higher than of wolves. Interestingly, having experienced livestock losses had a minor impact on perceptions of the carnivores. Occupation of the respondents had a strong effect on perceptions of snow leopards but not of wolves. Literacy and age had weak impacts on snow leopard perceptions, but the interaction among these terms showed a marked effect, that is, being illiterate had a more marked negative impact among older respondents. Among the various factors affecting perceptions of wolves, numbers of livestock owned and gender were the most important predictors. People with larger livestock herds were more negative towards wolves. In terms of gender, males were more positive to wolves than females, but no such pattern was observed for snow leopards. People’s negative perceptions towards wolves were also related to the remoteness of the villages. Factors affecting people’s perceptions could not be generalized for the two species, and thus need to be addressed separately. We suggest future conservation projects and programs should prioritize remote settlements. |
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Call Number | Serial | 1615 | |||
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Author | Salvatori, M., Tenan, S., Oberosler, V., Augugliaro, C., Christe, P., Groff, C., Krofel, M., Zimmermann, F., Rovero, F. | ||||
Title | Co-occurrence of snow leopard, wolf and Siberian ibex under livestock encroachment into protected areas across the Mongolian Altai | Type | Journal Article | ||
Year | 2021 | Publication | Biological Conservatio | Abbreviated Journal | |
Volume | 261 | Issue | 109294 | Pages ![]() |
1-14 |
Keywords | Camera-trapping, Panthera uncia, Canis lupus, Capra sibirica, Occupancy, Human-wildlife conflicts, Activity pattern | ||||
Abstract | In countries such as Mongolia, where globalization of the cashmere market has spurred herders to massively increase their livestock numbers, an important conservation concern is the effect of livestock encroachment on wildlife. This is especially important inside protected areas (PAs), which often represent the last refugia for threatened large mammals. We used camera-traps to sample four areas with different protection status across the Mongolian Altai Mountains, and targeted a predator-prey system composed of livestock, one large herbivore, the Siberian ibex, and two large carnivores, the snow leopard and the wolf. To determine the effect of livestock on habitat use by the wild species and their spatio-temporal co-occurrence we applied an occupancy framework explicitly developed for modelling interacting species. We recorded a widespread presence of domestic animals in the PAs, and observed avoidance of sites used by livestock by snow leopard and ibex, while wolves tended to co-occur with it. Snow leopard and ibex showed clear mutual co-occurrence, indicating a tight predator-prey relationship. Results provide evidence that, at the scale of sites sampled primarily to maximise snow leopard detections, grazing livestock interferes with wild species by inducing avoidance in snow leopards, and attraction in wolves. We suggest that (1) PAs management should enforce real grazing limitations on the ground, especially in the core areas of the parks; (2) new policies incorporating wildlife conservation into government subsidies to pastoralists should be envisaged, to prevent increasing displacement of snow leopards and ibex; (3) as wolves co- occurred with livestock, with the potential for human-wildlife conflicts, we encourage the use of a set of prevention techniques to mitigate livestock depredation. | ||||
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Call Number | SLN @ rakhee @ | Serial | 1659 | ||
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Author | Rashid, W., Shi, J., Rahim, I. U., Qasim, M., Baloch, M. N., Bohnett, E., Yang, F., Khan, I., Ahmad, B. | ||||
Title | Modelling Potential Distribution of Snow Leopards in Pamir, Northern Pakistan: Implications for Human–Snow Leopard Conflicts | Type | Journal Article | ||
Year | 2021 | Publication | Sustainability | Abbreviated Journal | |
Volume | 13 | Issue | 13229 | Pages ![]() |
1-15 |
Keywords | habitat fragmentation; habitat suitability; land use/cover change; Panthera uncia; MaxEnt model | ||||
Abstract | The snow leopard (Panthera uncia) is a cryptic and rare big cat inhabiting Asia’s remote and harsh elevated areas. Its population has decreased across the globe for various reasons, includ | ||||
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Call Number | SLN @ rakhee @ | Serial | 1664 | ||
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