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| Author | Farrington, J., Tsering, D. | ||||
| Title | Human-snow leopard conflict in the Chang Tang region of Tibet, China | Type | Journal Article | ||
| Year | 2019 | Publication | Biological Conservation | Abbreviated Journal | |
| Volume | 237 | Issue | Pages | 504-513 | |
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| Abstract | In April 2006, the authors conducted a preliminary human-wildlife conflict survey of 300 livestock herders in Shainza, Nyima, and Tsonyi Counties in northern Tibet's sparsely-populated Chang Tang region. This survey revealed a widespread but previously undocumented problem of snow leopard predation on livestock. In June and July 2007, an exploratory human-snow leopard conflict survey of 234 herders in the above counties found that 65.8% of respondents had experienced conflict with snow leopards in the form of livestock kills, with 77.3% of the most recent incidents occurring in the previous five years. These incidents were concentrated in winter and spring and a surprising 39.6% of incidents occurred during the day, often with herders present. Fifteen exploratory snow leopard sign transects totaling 14.85 km were conducted. Abundant snow leopard scrapes as well as pug marks were found, confirming the presence of these secretive cats. A total of 521 blue sheep were counted on and off sign transects indicating widespread availability of wild snow leopard prey. The recent surge in reported snow leopard conflict is likely due to increasing human and livestock populations, establishment of two multiple-use nature reserves accompanied by improved enforcement of wildlife protection laws, and a regional gun and trap ban launched in 2001. However, retaliatory killing of snow leopards in the survey area continues to be a potential threat. Therefore, measures are needed to reduce livestock kills by snow leopards, including corral improvements, improved guarding, establishment of livestock compensation schemes, and educating herders about snow leopard behavior. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1600 | ||
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| Author | Planning Wildlife Conservation in Leh and Kargil Districts of Ladakh, Jammu and Kashmir | ||||
| Title | Establising Snow Leopard Information Management System (SLIMS) at WII Phase 1 – Trans Himalaya | Type | Report | ||
| Year | 1999 | Publication | Wildlife Institute of India | Abbreviated Journal | |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1495 | ||
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| Author | Johansson, O., Samelius, G., Wikberg, E, Chapron, G., Mishra, C., Low, M | ||||
| Title | Identification errors in camera- trap studies result in systematic population overestimation | Type | Journal Article | ||
| Year | 2020 | Publication | Scientific Reports | Abbreviated Journal | |
| Volume | 10 | Issue | 6393 | Pages | 1-10 |
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| Abstract | Reliable assessments of animal abundance are key for successful conservation of endangered species. For elusive animals with individually-unique markings, camera-trap surveys are a benchmark standard for estimating local and global population abundance. Central to the reliability of resulting abundance estimates is the assumption that individuals are accurately identified from photographic captures. To quantify the risk of individual misidentification and its impact on population abundance estimates we performed an experiment under controlled conditions in which 16 captive snow leopards (Panthera uncia) were camera-trapped on 40 occasions and eight observers independently identified individuals and recaptures. Observers misclassified 12.5% of all capture occasions, resulting in systematically inflated population abundance estimates on average by one third (mean ± SD = 35 ± 21%). Our results show that identifying individually-unique individuals from camera-trap photos may not be as reliable as previously believed, implying that elusive and endangered species could be less abundant than current estimates indicate. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1496 | ||
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| Author | Farrington, J., Tsering, D. | ||||
| Title | Snow leopard distribution in the Chang Tang region of Tibet, China | Type | Journal Article | ||
| Year | 2020 | Publication | Global Ecology and Conservation | Abbreviated Journal | |
| Volume | 23 | Issue | Pages | ||
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| Abstract | In 2006 and 2007, the authors conducted human-wildlife conflict surveys in the Tibet Autonomous Region’s (TAR) Shainza, Nyima, and Tsonyi Counties, located in the TAR’s remote Chang Tang region. At this time, prior knowledge of the snow leopard in this vast 700,000 km2 region was limited to just eight firsthand snow leopard sign and conflict location records and 15 secondhand records. These surveys revealed a previously undocumented and growing problem of human-snow leopard conflict. The 2007 survey also yielded 39 new snow leopard conflict incident locations and 24 new snow leopard sign locations. Next, snow leopard telephone interviews and mapping exercises were conducted with Tibet Forestry Bureau staff that yielded an additional 63 and 144 new snow leopard conflict and sighting location records, respectively. These 270 new snow leopard location records, together with 39 records collected by other observers from 1988 to 2009, were compiled into a snow leopard distribution map for the Chang Tang. This effort greatly expanded knowledge of the snow leopard’s distribution in this region which remains one of the least understood of the snow leopard’s key range areas. New knowledge gained on snow leopard distribution in the Chang Tang through this exercise will help identify human-snow leopard conflict hot spots and inform design of human-snow leopard conflict mitigation and conservation strategies for northwest Tibet. Nevertheless, extensive additional field verification work will be required to definitively delineate snow leopard distribution in the Chang Tang. Importantly, since 2006, a number of major transportation infrastructure projects have made the Chang Tang more accessible, including paving of highways, new railroads, and new airports. This has led to a greatly increased number of tourists visiting western Tibet, particularly Mt. Kailash and Lake Manasarovar. At the same time, large areas of the Chang Tang have been fenced for livestock pastures as part of government initiatives to allocate pasturelands to individual families. All three of these developments have a large potential to cause disturbance to snow leopards and their prey species, including by hindering their movements and degrading their habitat. Therefore, future conservation measures in the Chang Tang will need to insure that development activities and the growing number of visitors to the Chang Tang do not adversely affect the distribution of snow leopards and their prey species or directly degrade their habitat. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1601 | ||
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| Author | Rode, J., Pelletier, A., Fumey, J., Rode, S., Cabanat, A. L., Ouvrard, A., Chaix, B., White, B., Harnden, M., Xuan, N. T., Vereshagin, A., Casane, D. | ||||
| Title | Diachronic monitoring of snow leopards at Sarychat-Ertash State Reserve (Kyrgyzstan) through scat genotyping: a pilot study | Type | Journal Article | ||
| Year | 2020 | Publication | bioRxiv | Abbreviated Journal | |
| Volume | Issue | Pages | 1-21 | ||
| Keywords | snow leopard, noninvasive genotyping, population dynamics, microsatellite, relatedness, diachronic monitoring, citizen science, Central Asia | ||||
| Abstract | Snow leopards (Panthera uncia) are a keystone species of Central Asia’s high mountain ecosystem. The species is listed as vulnerable and is elusive, preventing accurate population assessments that could inform conservation actions. Non-invasive genetic monitoring conducted by citizen scientists offers avenues to provide key data on this species that would otherwise be inaccessible. From 2011 to 2015, OSI-Panthera citizen science expeditions tracked signs of presence of snow leopards along transects in the main valleys and crests of the Sarychat-Ertash State Reserve (Kyrgyzstan). Scat samples were genotyped at seven autosomal microsatellite loci and at a X/Y locus for sex identification, which allowed estimating a minimum of 11 individuals present in the reserve from 2011 to 2015. The genetic recapture of 7 of these individuals enabled diachronic monitoring, providing indications of individuals’ movements throughout the reserve. We found putative family relationships between several individuals. Our results demonstrate the potential of this citizen science program to get a precise description of a snow leopard population through time. | ||||
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| Notes | Approved | no | |||
| Call Number | Serial | 1602 | |||
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| Author | Murali,R., Ikhagvajav, P., Amankul, V., Jumabay, K., Sharma, K., Bhatnagar, Y. V., Suryawanshi, K., Mishra, C. | ||||
| Title | Ecosystem service dependence in livestock and crop-based | Type | Journal Article | ||
| Year | 2020 | Publication | Journal of Arid Environments | Abbreviated Journal | |
| Volume | 180 | Issue | Pages | 1-10 | |
| Keywords | Provisioning services Arid ecosystems Local communities Land-use | ||||
| Abstract | Globally, in semi-arid and arid landscapes, there is an ongoing transition from livestock-production systems to crop-production systems, and in many parts of Asia's arid mountains, mining for minerals is also increasing. These changes are accompanied by a change in the generation and quality of ecosystem services (ES), which can impact human well-being. In this study, to better understand the impacts of such transitions, we quantified ES in two crop-based and three livestock-based production systems in the arid and semi-arid landscapes of the High Himalaya and Central Asia, specifically in the Indian Himalaya, Kyrgyz Tien Shan, and Mongolian Altai. Our results showed 1) high economic dependence (3.6–38 times the respective annual household income) of local farmers on provisioning ES, with the economic value of ES being greater in livestock-production systems (7.4–38 times the annual household income) compared to crop-production systems (3.6–3.7 times the annual household income); 2) ES input into cashmere production, the main commodity from the livestock-production systems, was 13–18 times greater than the price of cashmere received by the farmer; and 3) in the livestock production systems affected by mining, impacts on ES and quality of life were reported to be negative by majority of the respondents. We conclude that livestock-based systems may be relatively more vulnerable to degrading impacts of mining and other ongoing developments due to their dependence on larger ES resource catchments that tend to have weaker land tenure and are prone to fragmentation. In contrast to the general assumption of low value of ES in arid and semi-arid landscapes due to relatively low primary productivity, our study underscores the remarkably high importance of ES in supporting local livelihoods. |
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| Notes | Approved | no | |||
| Call Number | Serial | 1603 | |||
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| Author | Karnaukhov А. S., Korablev М. P., Kuksin А. N., Malykh S. V., Poyarkov А. D., Spitsyn S. V., Chistopolova М. D., Hernandez-Blanco J. A. | ||||
| Title | Snow Leopard Population Monitoring Guidebook (English) | Type | Guidebook | ||
| Year | 2020 | Publication | WWF | Abbreviated Journal | |
| Volume | Issue | Pages | 165 | ||
| Keywords | English | ||||
| Abstract | The “Snow Leopard Population Monitoring Guidebook” is the result of a multiyear effort to study and monitor the status of key snow leopard populations in the Russian Federation conducted by WWF Russia specialists alongside colleagues in protected areas and the Severtsov Institute for Ecology and Evolution (Russian Academy of Sciences). The book provides the most recent data regarding the distribution and population of the snow leopard in three administrative subjects of the Russian Federation – Republics of Altai, Tyva, and Buryatiya. Optimal survey routes and a grid network for camera-trapping stations are discussed and are based on a previously-developed program for standardized monitoring and surveying of the snow leopard population. The most important part of this publication is the analysis of methodologies for evaluating the status of population groups of this rare cat – from the traditional route census approach to innovative systems for automated collection of field data. In addition, the results of multi-year work analyze snow leopard nutrition and evaluate the genetic diversity of the snow leopard population in Russia. | ||||
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| Notes | Approved | no | |||
| Call Number | Serial | 1604 | |||
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| Author | Karnaukhov А. S., Korablev М. P., Kuksin А. N., Malykh S. V., Poyarkov А. D., Spitsyn S. V., Chistopolova М. D., Hernandez-Blanco J. A. | ||||
| Title | Snow Leopard Population Monitoring Guidebook (Russian) | Type | Guidebook | ||
| Year | 2020 | Publication | WWF | Abbreviated Journal | |
| Volume | Issue | Pages | 164 | ||
| Keywords | Russian | ||||
| Abstract | The “Snow Leopard Population Monitoring Guidebook” is the result of a multiyear effort to study and monitor the status of key snow leopard populations in the Russian Federation conducted by WWF Russia specialists alongside colleagues in protected areas and the Severtsov Institute for Ecology and Evolution (Russian Academy of Sciences). The book provides the most recent data regarding the distribution and population of the snow leopard in three administrative subjects of the Russian Federation – Republics of Altai, Tyva, and Buryatiya. Optimal survey routes and a grid network for camera-trapping stations are discussed and are based on a previously-developed program for standardized monitoring and surveying of the snow leopard population. The most important part of this publication is the analysis of methodologies for evaluating the status of population groups of this rare cat – from the traditional route census approach to innovative systems for automated collection of field data. In addition, the results of multi-year work analyze snow leopard nutrition and evaluate the genetic diversity of the snow leopard population in Russia. | ||||
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| Notes | Approved | no | |||
| Call Number | Serial | 1605 | |||
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| Author | Pal, R., Bhattacharya, T., Sathyakumar, S. | ||||
| Title | Woolly flying squirrel Eupetaurus Cinereus: A new addition to the diet of snow leopard Panthera Uncia | Type | Short Note | ||
| Year | 2020 | Publication | Journal Bombay Natural History Society | Abbreviated Journal | |
| Volume | 117 | Issue | Pages | ||
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| Notes | Approved | no | |||
| Call Number | Serial | 1606 | |||
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| Author | Vannelli, K., Hampton, M. P., Namgail, T., Black, S. A. | ||||
| Title | Community participation in ecotourism and its effect on local perceptions of snow leopard (Panthera uncia) conservation | Type | Journal Article | ||
| Year | 2019 | Publication | Human Dimensions of Wildlife | Abbreviated Journal | |
| Volume | Issue | Pages | 1-14 | ||
| Keywords | Instrumental value; snow leopard; perceptions; ecotourism; human–wildlife conflict | ||||
| Abstract | Local support and involvement is often essential for effective wildlife conservation. This study assessed the impact of local involvement in ecotourism schemes on perceptions of wildlife, promotion of conservation action, types of values that communities placed on wildlife, and contexts in which wildlife are considered to be most valuable. The study used qualitative semi-structured interviews conducted in seven villages in Ladakh, India, which is an important region of snow leopard (Panthera uncia) habitat. Results indicated that in these communities, ecotourism-based interventions encourage more positive perceptions of wildlife species, in particular the snow leopard. Achieving change in community perceptions of wildlife is key when implementing ecotourism schemes to enable more effective conservation, as well as generating local awareness and value for wildlife toward problematic keystone species such as the snow leopard, which are frequently the focus of human-wildlife conflict. |
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| Call Number | Serial | 1607 | |||
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