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Luxom, N. M., Singh, R., Theengh, L., Shrestha, P., Sharma, R. K. (2022). Pastoral practices, pressures, Pastoralism: Research, Policy and Practice Open Access and human-wildlife relations in high altitude rangelands of eastern Himalaya: A case study of the Dokpa pastoralists of North Sikkim. Springer Open, 12(37), 1–19.
Abstract: The pastoral practices of the Dokpa herders of North Sikkim have been transforming in response to the geo-political and socio-economic changes in the region. Against the backdrop of these changes, this study aims to understand the current state of pastoralism in North Sikkim with three specific objectives: (i) to understand the current rangeland management practices of the Dokpa community; (ii) to examine the social, political and ecological stresses to continuity of traditional pastoral livelihoods; and (iii) to document the baseline on human-wildlife relations. We focused on one of the two subset populations of Dokpa herders of North Sikkim and, using a mixed-methods approach, conducted 12 semi-structured interviews, four key respondent interviews and two focused group discussions. The resource use by the Dokpas is unique, and unlike the rest of the Himalayan range, they access the high-altitude pastures in winters and the lower ones in summer. Pastures in the higher altitudes experience heavier winds, which leads to lower levels of snow deposition — thus ensuring access to dried pasture forage for livestock during the lean season. The decisions pertaining to resource management are taken by the head of the local institution Dzumsa, the Pipon. Primary stresses to the continuation of traditional pastoral practices are fragmentation of pastureland post- Sino-Indian war of 1962 and the consequent establishment of armed forces, livestock depredation by free-ranging dogs followed by wild predators and continued socio-economic marginalisation of the pastoralists under a supposedly egalitarian institutional regime. Extreme climatic events in the recent past have also contributed to significant livestock loss. Dokpa transhumant practices are on an overall decline, with most members of the younger generation shifting to non-herding livelihoods. The availability of alternate livelihood options with the improved connectivity, access to education and development of the tourism industry has led to changing aspirations of the younger generations. In only two of the twelve households we surveyed, the younger generation continues herding, while the rest have moved to the cities and towns. In terms of human-wildlife relations, the respondents mostly hold a positive attitude towards wildlife and conservation actions despite livestock predation by wild predators, since the free-ranging dogs cause the highest livestock loss. With the inputs from the Dokpas, we provide recommendations towards a facilitative environment for the continuation of the traditional herding in the region, which is critical for the survival of pastoralism in North Sikkim, presently hinged on less than two dozen of elderly Dokpas.
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Pohl, J. (1996). Tracking the Big Cat. Juneau Empire (AK), 5.
Abstract: Juneau biologist Tom McCarthy will make one last trip to Mongolla to finish researching snow leopards – which are poached for their pelts and killed for the medicinal value of their bones – so he can recommend ways to preserve the elusive animals and their habitat
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Jack, R. (2008). DNA Testing and GPS positioning of snow leopard (Panthera uncia) genetic material in the Khunjerab National Park Northern Areas, Pakistan.
Abstract: The protection of Snow Leopards in the remote and economically disadvantaged Northern Areas of Pakistan needs local people equipped with the skills to gather and present information on the number and range of individual animals in their area. It is important for the success of a conservation campaign that the people living in the area are engaged in the conservation process. Snow Leopards are elusive and range through inhospitable terrain so direct study is difficult. Consequently the major goals for this project were twofold, to gather information on snow leopard distribution in this area and to train local university students and conservation management professionals in the techniques used for locating snow leopards without the need to capture or even see the animals. This project pioneered the use of DNA testing of field samples collected in Pakistan to determine the distribution of snow leopards and to attempt to identify individuals. These were collected in and around that country's most northerly national park, the Kunjurab National Park, which sits on the Pakistan China border. Though the Northern Areas is not a well developed part of Pakistan, it does possess a number of institutions that can work together to strengthen snow leopard conservation. The first of these is a newly established University with students ready to be trained in the skills needed. Secondly WWF-Pakistan has an office in the main town and a state of the art GIS laboratory in Lahore and already works closely with the Forest Department who manage the national park. All three institutions worked together in this project with WWF providing GIS expertise, the FD rangers, and the university students carrying out the laboratory work. In addition in the course of the project the University of the Punjab in Lahore also joined the effort, providing laboratory facilities for the students. As a result of this project maps have been produced showing the location of snow leopards in
two areas. Preliminary DNA evidence indicates that there is more than one animal in this
relatively small area, but the greatest achievement of this project is the training and
experience gained by the local students. For one student this has been life changing. Due to
the opportunities provided by this study the student, Nelofar gained significant scientific
training and as a consequence she is now working as a lecturer and research officer for the
Center for Integrated Mountain Research, New Campus University of the Punjab, Lahore
Pakistan
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Farrington, J. (2005). A Report on Protected Areas, Biodiversity, and Conservation in the Kyrgyzstan Tian Shan with Brief Notes on the Kyrgyzstan Pamir-Alai and the Tian Shan Mountains of Kazakhstan, Uzbekistan, and China. Ph.D. thesis, , Kyrgyzstan.
Abstract: Kyrgyzstan is a land of towering mountains, glaciers, rushing streams, wildflowercovered meadows, forests, snow leopards, soaring eagles, and yurt-dwelling nomads. The entire nation lies astride the Tian Shan1, Chinese for “Heavenly Mountains”, one of the world's highest mountain ranges, which is 7439 m (24,400 ft) in elevation at its highest point. The nation is the second smallest of the former Soviet Central Asian republics. In
spite of Kyrgyzstan's diverse wildlife and stunning natural beauty, the nation remains little known, and, as yet, still on the frontier of international conservation efforts. The following report is the product of 12 months of research into the state of conservation and land-use in Kyrgyzstan. This effort was funded by the Fulbright Commission of the U.S. State Department, and represents the most recent findings of the author's personal environmental journey through Inner Asia, which began in 1999. When I first started my preliminary research for this project, I was extremely surprised to learn that, even though the Tian Shan Range has tremendous ecological significance for conservation efforts in middle Asia, there wasn't a single major international conservation organization with an office in the former Soviet Central Asian republics. Even more surprising was how little awareness there is of conservation issues in the Tian Shan region amongst conservation workers in neighboring areas who are attempting to preserve similar species assemblages and ecosystems to those found in the Tian Shan. Given this lack of awareness, and the great potential for the international community to make a positive contribution towards improving the current state of biodiversity conservation in Kyrgyzstan and Central Asia, I have summarized my findings on protected areas and conservation in Kyrgyzstan and the Tian Shan of Kazakhstan, Uzbekistan, and Xinjiang in the chapters below. The report begins with some brief background information on geography and society in the Kyrgyz Republic, followed by an overview of biodiversity and the state of conservation in the nation, which at the present time closely parallels the state of conservation in the other former Soviet Central Asian republics. Part IV of the report provides a catalog of all major protected areas in Kyrgyzstan and the other Tian Shan nations, followed by a list of sites in Kyrgyzstan that are as yet unprotected but merit protection. In the appendices the reader will find fairly comprehensive species lists of flora and fauna found in the Kyrgyz Republic, including lists of mammals, birds, fish, reptiles, amphibians, trees and shrubs, wildflowers, and endemic plants. In addition, a
draft paper on the history and current practice of pastoral nomadism in Kyrgyzstan has been included in Appendix A. While the research emphasis for this study was on eastern Kyrgyzstan, over the course of the study the author did have the opportunity to make brief journeys to southern Kyrgyzstan, Uzbekistan, Kazakhstan, and Xinjiang. While falling short of being a definitive survey of protected areas of the Tian Shan, the informational review which
follows is the first attempt at bringing the details of conservation efforts throughout the entire Tian Shan Range together in one place. It is hoped that this summary of biodiversity and conservation in the Tian Shan will generate interest in the region amongst conservationists, and help increase efforts to protect this surprisingly unknown range that forms an island of meadows, rivers, lakes, and forests in the arid heart of Asia.
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International Snow Leopard Trust. (2000). Snow Leopard News Spring 2000. Seattle, Wa: Islt.
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Jackson, R. (1995). Third Slims Workshop held in Mongolia (Vol. xiii). Seattle: Islt.
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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. (2023). Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies. Global Ecology & Conservation, 41(e02350), 1–13.
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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Jackson, R., & Wangchuk, R. (2004). A Community-Based Approach to Mitigating Livestock Depredation by Snow Leopards (Vol. 9).
Abstract: Livestock depredation by the endangered snow leopard (Panthera uncia) _is an increasingly contentious issue in Himalayan villages, especially in or near protected areas. Mass attacks in which as many as 100 sheep and goats are killed in a single incident inevitably result in retaliation by local villagers. This article describes a community-based conservation initiative to address this problem in Hemis National Park, India. Human-wildlife conflict is alleviated by predator-proofing villagers' nighttime livestock pens and by enhancing household incomes in environmentally sensitive and culturally compatible ways. The authors have found that the highly participatory strategy described here (Appreciative Participatory Planning and Action-APPA) leads to a sense of project ownership by local stakeholders, communal empowerment, self-reliance, and willingness to co-exist with
snow leopards. The most significant conservation outcome of this process is the protection from retaliatory poaching of up to five snow leopards for every village's livestock pens that are made predator-proof._
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Prasad, S. N., Chundawat, R. S., Hunter, D. O., Panwar, H. S., & Rawat, G. S. (1991). Remote sensing snow leopard habitat in the trans-Himalaya of India using spatial models and satellite imagery preliminary results. In G. J. Buhyoff (Ed.), (pp. 519–523).
Abstract: The snow leopard (Panthera uncia) is a flagship species for conservation in the high mountain regions of central Asia. Data on snow leopard predation, habitat conditions and range of main prey species were gathered along with thematic maps of the study area for elevation, snow cover, sighting data, kill data, blue sheep use areas, and vegetation data. These data were entered into a GIS and used to help delineate surface features from a satellite image. Preliminary results show that general physiographic features of snow leopard habitat can be detected using satellite imagery and that GIS cartographic modeling techniques can improve this delineation. -from Authors
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McCarthy, T. (2003). Snow Leopard Survival Strategy. Seattle, WA: International Snow Leopard Trust; Snow Leopard Network.
Abstract: The Snow Leopard Survival Strategy (SLSS) is a blueprint to guide the work of organizations and individuals working to conserve the endangered snow leopard. The SLSS was drafted in a collaborative fashion and includes the input of more than 65 of the world's leaders in snow leopard research and conservation. Implementation of the SLSS is overseen by the Snow Leopard Network (SLN), a partnership of organizations and individuals from government and private sectors who work together for the effective conservation of the snow leopard, its prey, and its natural habitat to the benefit of people and biodiversity
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