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Hellstrom, M., Kruger, E., Naslund, J., Bisther, M., Edlund, A., Hernvall, P., Birgersson, V., Augusto, R., Lancaster, M. L. |
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Capturing environmental DNA in snow tracks of polar bear, Eurasian lynx and snow leopard towards individual identification |
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Journal Article |
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2023 |
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Frontiers in Conservation Science |
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4 |
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1250996 |
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1-9 |
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nuclear eDNA, snow, snow track, individual, polar bear (Ursus maritimus), Eurasian lynx (Lynx lynx), snow leopard (Panthera uncia), sampling protocol |
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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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SLN @ rakhee @ |
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1738 |
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WWF Russia & Mongolia |
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WWF Altai-Sayan Newsletter |
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Report |
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2010 |
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12 |
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6 |
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WWF Russia, WWF Mongolia, argali, snow leopard |
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WWF Russia and WWF Mongolia share the main achievements of both offices in Altai – Sayan Ecoregion regarding species conservation, protected areas, ecotourism, public awareness, education, eco clubs, fresh water. Several articles reference snow leopards:
WWF Mongolia
Argali population observation in transboundary area
WWF Russia
Ecotourism camps in the habitats of a snow leopard and argali WWF and UNDP
WWF Russia
WWF assessed the level of conflict between herders and a snow leopard in Republic of Tyva
WWF Russia
The first ecological festival in the history of Mountain Altai for snow leopard conservation! |
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Email: tivanitskaya@wwf.ru |
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Communication Staff of Altai - Sayan Programme in Russia and Mongolia |
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WWF |
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Russia |
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English |
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English |
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SLN @ rana @ |
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1110 |
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Kichloo, M. A., Sharma, K., Sharma, N. |
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Title |
Climate casualties or human disturbance? Shrinking distribution of the three large carnivores in the Greater Himalaya |
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Journal Article |
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2023 |
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Springer – Climatic Change |
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176 |
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118 |
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1-17 |
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Snow leopard · Common leopard · Asiatic black bear · Climate change · Multi- season occupancy analysis · Local ecological knowledge · Imperfect detection |
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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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SLN @ rakhee @ |
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1724 |
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Author |
Anonymous |
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Title |
A rare snow leopard surgery |
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Newspaper Article |
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1975 |
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Seattle Post Intelligencer |
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11 September |
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snow leopard, captive, cancer |
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SLN @ rana @ |
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1207 |
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Author |
Konrath, R. |
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Title |
Snow leopard born at Milwaukee |
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Journal Article |
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1975 |
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Animal Keepers' Forum |
Abbreviated Journal |
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11 |
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11 |
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snow leopard, captivity, Milwaukee Zoo, birth |
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SLN @ rana @ |
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1224 |
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Konrath, R. |
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Snow leopard born at Milwaukee |
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Journal Article |
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1975 |
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Animal Keepers' Forum |
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11 |
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11 |
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snow leopard, captivity, Milwaukee Zoo, birth |
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SLN @ rana @ |
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1225 |
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Marma, B.B., Yunchis, V.V. |
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Biology of the snow leopard (Panthera uncia uncia) |
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Journal Article |
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1969 |
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Zoologicheskii Zhurnal |
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47 |
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11 |
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1689-1694 |
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snow leopard, captivity, Panthera uncia, reproduction, Kaunas Zoo, Lithuania |
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The methods to obtain progeny of the snow-leopard (Panthera uncia uncia) in captivity were being elaborated in the zoological garden of Kaunas, Lithuanian SSR. The blood characteristics for snow-leopards is given and compared to that for African lions and Sumatran tigers. A series of internal, external and clinical indices is established. The rut lasts for 5-7 day, the duration of pregnancy equals 98 days. The duration of lactation varies from 3 to 4 months. Sexual maturity is attained on the 3rd-4th year. From 1960 to 1967 in zoological ghardens of the world abuot 29 snow-leopards were born. 14 of them -- in the Kauna zoological garden. |
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Russian |
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SLN @ rana @ |
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1249 |
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Kachel, S., Anderson, K., Shokirov, Q. |
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Predicting carnivore habitat use and livestock depredation risk with false-positive multi-state occupancy models |
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Journal Article |
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2022 |
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Biological Conservation |
Abbreviated Journal |
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271 |
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
109588 |
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1-10 |
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Bayesian hierarchical model,False-positive,Multi-state occupancy,Human-carnivore conflict,Livestock depredation,Snow leopard,Lynx,Wolf,Bear |
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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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SLN @ rakhee @ |
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1681 |
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. |
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Title |
Research trends and management options in human-snow leopard conflict |
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Journal Article |
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2020 |
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Biological Conservation |
Abbreviated Journal |
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242 |
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
108413 |
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1-10 |
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Snow leopards, Systematic review, Compensation, Co-existence, Livestock, Human-wildlife conflict, Mitigation |
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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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SLN @ rakhee @ |
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1716 |
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. |
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Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection |
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Journal Article |
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2023 |
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Ecological Informatics |
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77 |
Issue ![sorted by Issue field, descending order (down)](img/sort_desc.gif) |
102214 |
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1-14 |
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Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards |
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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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SLN @ rakhee @ |
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1723 |
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