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Author | Rode, J., Lambert, C., Marescot, L., Chaix, B., Beesau, J., Bastian, S., Kyrbashev, J., Cabanat, A.L. | ||||
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 | 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. | ||||
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 | Maheshwari, A. , Sathyakumar, S. | ||||
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 | Natalia, E., Sergey, N., Vyacheslav, R., Fedor, V., Antonio, H. B. J., Andrey, P., Alexander, K.,Ekaterina, P. | ||||
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� 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 � in Amur leopard, 2 � in snow leopard and 3 � in Pallas� cat. Obviously, snow leopard and Palls� 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 | Kalashnikova, Y. A., Karnaukhov, A. S., Dubinin, M. Y., Poyarkov, A. D., Rozhnov, V. V. | ||||
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�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 | Hanson, J. H., Schutgens, M., Lama, R.P., Aryal, A., Dhakal, M. | ||||
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 | Khanal, G., Poudyal, L. P., Devkota, B. P., Ranabhat, R., Wegge, P. | ||||
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 | Underwood, R. | ||||
Title | The snow leopard, and its association with the dawn of wildlife management in India | Type | Book Chapter | ||
Year | 2013 | Publication | Abbreviated Journal | ||
Volume | Issue | Pages | 1-10 | ||
Keywords | Snow Leopard,wildlife management,colonial forestry,forest and land management | ||||
Abstract | As part of a project looking at the history of ‘colonial forestry’ I have been studying forest and land management in India during the period from about 1860 to 1920. The subject is of interest because the forest conservation policies and management practices developed in India at that time later became a template for early forest policies and practices in Australia (where I have worked nearly all of my life as a forester), New Zealand, South Africa and the United States of America. An unexpected outcome of my research was to find that 19th and early 20th century Indian foresters were also deeply concerned about Indian wildlife, and that in their published writings on this issue can be discerned some of the earliest concepts of professional wildlife management. The outcome was unexpected because a notable aspect of forestry in India in the 19th century was the widespread love of hunting wild animals, or shikar, amongst officers of the Indian Forest Service. Sometimes this was done in the line of duty, a forester being called out to dispatch a rogue elephant or a man-eating tiger. But hunting was also regarded by many (especially those who had transferred from the Army into the Forest Service) as a sport, a contest between man and beast. And despite his firepower, it was a contest in which 19th century man did not always come out on top. |
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Call Number | SLN @ rakhee @ | Serial | 1392 | ||
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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. | ||||
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. | ||||
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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