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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 | Moheb, Z., Sahel, K., Fazli, M., Hakimi, M., Ismaily, S. | ||||
Title | Snow Leopard Intrusions into Livestock Corrals in Badakhshan, Afghanistan: Challenges and Solutions | Type | Journal Article | ||
Year | 2023 | Publication | Snow Leopard Reports | Abbreviated Journal | |
Volume | Issue | Pages | 1-5 | ||
Keywords | Panthera uncia, corral intrusion, livestock predation, occurrence record, problematic animal | ||||
Abstract | Snow leopards (Panthera uncia) frequently prey on livestock throughout their range, posing a potential threat to human livelihoods and endangering the predator’s own survival. In this study, we document seven incidents of snow leopards intruding into livestock corrals and engaging in surplus killing in three districts of Badakhshan, Afghanistan. Six of the predation incidents were attributed to a single individual, occurring in five locations of Wakhan District and eventually in Yumgan District, where the captured animal was relocated. The remaining predation incident occurred in Keran-wa Munjan District, marking the first recorded evidence of snow leopards in this area. In all but one of the incidents, the predator was trapped in the corral it intruded and safely released back to the wild with the support of the National Environmental Protection Agency (NEPA) and Wildlife Conservation Society (WCS) team in Afghanistan. Local communities have been supportive in releasing the snow leopard despite losses of over 50 livestock. To mitigate negative interactions between snow leopards and livestock, conservation efforts should focus on conserving prey species, implementing predator- proof measures for livestock corrals, and utilizing collar tracking when a trapped snow leopard is found in a corral. Unfortunately, when an individual repeatedly enters livestock corrals and continues killing livestock, capture and relocation to captivity often become the only viable option to address the problem and ensure the animal’s safety from retaliatory action by affected herders. | ||||
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Call Number | SLN @ rakhee @ | Serial | 1728 | ||
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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 | 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 | Karnaukhov, A. S., Malykh, S. V., Korablev, M. P., Kalashnikova, Y. M., Poyarkov, A. D., Rozhnov, V. V. | ||||
Title | Current Status of the Eastern Sayan Snow Leopard (Panthera uncia) Grouping and Its Nutritive Base | Type | Journal Article | ||
Year | 2018 | Publication | Biology Bulletin | Abbreviated Journal | |
Volume | 45 | Issue | 9 | Pages | 1106-1115 |
Keywords | Panthera uncia, Bol� shoi Sayan, Munku-Sardyk, Tunkinskie Gol� tsy, distribution area, molecular genetic analysis, modeling of potential habitats | ||||
Abstract | A field survey of snow leopard (Panthera uncia) habitats was carried out in the southeastern part of the Eastern Sayan Mountains (Okinskii and Tunkinskii districts of the Republic of Buryatia and the Kaa- Khemskii district of Tuva Republic). Seven or eight adult snow leopards were observed as constant inhabitants of the Tunkinskie Gol'tsy, Munku-Sardyk, and Bol'shoi Sayan mountain ridges. The presence of eight snow leopards was confirmed using DNA-based analyses of scats collected in 2014 – 2016. The main prey species of the snow leopard in Eastern Sayan is the Siberian ibex (Capra sibirica), but its abundance has steadily decreased over the past 20 years. The red deer (Cervus elaphus) and the wild boar (Sus scrofa), which were some of the most numerous ungulates in the survey area, are replacing the Siberian ibex in the snow leopard's diet. In addition, the mountain hare (Lepus timidus) is also of importance to the snow leopard's diet. |
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Call Number | SLN @ rakhee @ | Serial | 1482 | ||
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Author | Yu, C., Ding, N., Li, Y., Liu, Y, Lyu, Z., Munkhtsog, B., Wuliji., Ma, Z., Se, Y., Pei, W., Gao, Y., Zhang, Y., Han, Q., Shi, K. | ||||
Title | Preliminary results from applying satellite-tracking on snow leopards for the first time in China | Type | Journal Article | ||
Year | 2022 | Publication | Global Ecology and Conservation | Abbreviated Journal | |
Volume | 40 | Issue | e02346 | Pages | 1-7 |
Keywords | Panthera Uncia Home Range Satellite telemetry Qilian | ||||
Abstract | The lack of snow leopards telemetry studies in China has hampered researchers in studying the movement ecology and home range sizes of snow leopards, the knowledge gap of which has affected effective planning and improvement of snow leopard protected areas in China. In 2021, we conducted China’s first snow leopard satellite-tracking project in Qilianshan National Park, China, one of the most representative mountain areas of snow leopard habitat. The outcomes of the research aims to apply gained understanding on snow leopard home range to enhance management and planning of snow leopard protected area. Here we summarize the preliminary home range results on the first three satellite-tracked snow leopards in China. The three snow leopards were followed between 3 and 6 months yielding a total of 7845 GPS locations. Using | ||||
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Call Number | SLN @ rakhee @ | Serial | 1705 | ||
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Author | Wei, L.; Wu, X.; Jiang, Z. | ||||
Title | The complete mitochondrial genome structure of snow leopard Panthera uncia | Type | Miscellaneous | ||
Year | 2008 | Publication | Molecular Biology Reports | Abbreviated Journal | |
Volume | Issue | Pages | 1-8 | ||
Keywords | Panthera uncia Complete mitochondrialgenome Phylogenetic analyses | ||||
Abstract | The complete mitochondrial genome (mtDNA) of snow leopard Panthera uncia was obtained by using the polymerase chain reaction (PCR) technique based on the PCR fragments of 30 primers we designed. The entire mtDNA sequence was 16 773 base pairs (bp) in length, and the base composition was: A-5,357ª“,Ž+bp (31.9%); C-4,444ª”,Ž+bp (26.5%); G-2,428ª“,Ž+bp (14.5%); T-4,544ª”,Ž+bp (27.1%). The structural characteristics [0] of the P. uncia mitochondrial genome were highly similar to these of Felis catus, Acinonyx jubatus, Neofelis nebulosa and other mammals. However, we found several distinctive features of the mitochondrial genome of Panthera unica. First, the termination codon of COIII was TAA, which differed from those of F. catus, A. jubatus and N. nebulosa. Second, tRNASer (AGY), which lacked the ''DHU'' arm, could not be folded into the typical cloverleaf-shaped structure. Third, in the control region, a long repetitive sequence in RS-2 (32ª“,Ž+bp) region was found with 2 repeats while one short repetitive segment (9ª”,Ž+bp) was found with 15 repeats in the RS-3 region. We performed phylogenetic analysis based on a 3 816ª",Ž+bp concatenated sequence of 12S rRNA, 16S rRNA, ND2, ND4, ND5, Cyt b and ATP8 for P. uncia and other related species, the result indicated that P. uncia and P. leo were the sister species, which was different from the previous findings. (c) 2008 Springer Science+Business Media B.V. | ||||
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Call Number | SLN @ rana @ 899 | Serial | 1011 | ||
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Author | Bocci, A., Lovari, S., Khan, M. Z., Mori, E. | ||||
Title | Sympatric snow leopards and Tibetan wolves: coexistence of large carnivores with human-driven potential competition | Type | Journal Article | ||
Year | 2017 | Publication | European Journal of Wildlife Research | Abbreviated Journal | |
Volume | Issue | Pages | 1-9 | ||
Keywords | Panthera uncia . Canis lupus filchneri . Competition . Large-carnivore coexistence . Siberian ibex | ||||
Abstract | The snow leopard Panthera uncia coexists with the wolf Canis lupus throughout most of its distribution range. We analysed the food habits of snow leopards and wolves in their sympatric range in the Karakoram mountains of Pakistan. A total of 131 genotyped scats (N = 74, snow leopard; N = 57, Tibetan wolf) were collected during the cold periods (i.e. winter and spring) of 2011 and 2012 in the Hushey valley. Large mammals, i.e. livestock and ibex, accounted for 84.8 and 83.1% of the diet (relative frequency) of the snow leopard and the wolf, respectively. Domestic prey was the staple of the diet of both snow leopards (66.6%) and wolves (75.1%). Ibex Capra ibex, the only wild ungulate in our study area, contributed 18.2 and 16.9%of relative frequencies in the diets of the snow leopard and the wolf, respectively. In winter, the snowleopard heavily relied on domestic sheep (43.3%) for food, whereas the wolf preyed mainly on domestic goats (43.4%). Differently from other study areas, both snow leopards and wolves showed no apparent prey preference (Jacobs index: snow leopard min. − 0.098, max. 0.102; Tibetan wolf min. − 0.120, max. 0.03). In human depauperate areas, with livestock and only a few wild prey, should competitive interactions arise, two main scenarios could be expected, with either predator as a winner. In both cases, the best solution could primarily impinge on habitat restoration, so that a balance could be found between these predators, who have already coexisted for thousands of years. |
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Call Number | SLN @ rakhee @ | Serial | 1464 | ||
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Author | Marma, B.B.; Yunchis, V.V. | ||||
Title | Observations on the breeding, management and physiology of Snow leopards (Panthera u. uncia) at Kaunas Zoo from 1962 to 1967 | Type | Book Chapter | ||
Year | 1968 | Publication | Canids and Felids in Captivity | Abbreviated Journal | |
Volume | Issue | Pages | 66-73 | ||
Keywords | observations; breeding; management; physiology; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; panthera; uncia; zoo; felids; captivity | ||||
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Publisher | Zoological Society of London | Place of Publication | Editor | Jarvis, C.; Biegler, R. | |
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Call Number | SLN @ rana @ 1004 | Serial | 649 | ||
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Author | Hellstrom, M., Kruger, E., Naslund, J., Bisther, M., Edlund, A., Hernvall, P., Birgersson, V., Augusto, R., Lancaster, M. L. | ||||
Title | Capturing environmental DNA in snow tracks of polar bear, Eurasian lynx and snow leopard towards individual identification | Type | Journal Article | ||
Year | 2023 | Publication | Frontiers in Conservation Science | Abbreviated Journal | |
Volume | 4 | Issue | 1250996 | Pages | 1-9 |
Keywords | nuclear eDNA, snow, snow track, individual, polar bear (Ursus maritimus), Eurasian lynx (Lynx lynx), snow leopard (Panthera uncia), sampling protocol | ||||
Abstract | Polar bears (Ursus maritimus), Eurasian lynx (Lynx lynx) and snow leopards (Panthera uncia) are elusive large carnivores inhabiting snow-covered and remote areas. Their effective conservation and management are challenged by inadequate population information, necessitating development of novel data collection methods. Environmental DNA (eDNA) from snow tracks (footprints in snow) has identified species based on mitochondrial DNA, yet its utility for individual-based analyses remains unsolved due to challenges accessing the nuclear genome. We present a protocol for capturing nuclear eDNA from polar bear, Eurasian lynx and snow leopard snow tracks and verify it through genotyping at a selection of microsatellite markers. We successfully retrieved nuclear eDNA from 87.5% (21/24) of wild polar bear snow tracks, 59.1% (26/44) of wild Eurasian lynx snow tracks, and the single snow leopard sampled. We genotyped over half of all wild polar bear samples (54.2%, 13/24) at five loci, and 11% (9/44) of wild lynx samples and the snow leopard at three loci. Genotyping success from Eurasian lynx snow tracks increased to 24% when tracks were collected by trained rather than untrained personnel. Thirteen wild polar bear samples comprised 11 unique genotypes and two identical genotypes; likely representing 12 individual bears, one of which was sampled twice. Snow tracks show promise for use alongside other non-invasive and conventional methods as a reliable source of nuclear DNA for genetic mark-recapture of elusive and threatened mammals. The detailed protocol we present has utility for broadening end user groups and engaging Indigenous and local communities in species monitoring. | ||||
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Call Number | SLN @ rakhee @ | Serial | 1738 | ||
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