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Sumiya, G., Buyantsog, B., & WWF Mongolia Country Office. (2002). Conservation of Snow Leopard in the Turgen and Tsagaan Shuvuut Mountains Through Local Involvement.. Islt: Islt.
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Allen, P. (2002). Conservation Increases Crafts Income (Vol. Winter, 2002).
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Sharma, K., Fiechter, M., George, T., Young, J., Alexander, J.
S., Bijoor, Suryawanshi, K., Mishra, C. (2020). Conservation and people: Towards an ethical code of conduct for
the use of camera traps in wildlife research. Ecological Solutions and Evidence, , 1–6.
Abstract: 1. Camera trapping is a widely employed tool in wildlife
research, used to estimate animal abundances, understand animal
movement, assess species richness and under- stand animal behaviour. In
addition to images of wild animals, research cameras often record human
images, inadvertently capturing behaviours ranging from innocuous
actions to potentially serious crimes.
2. With the increasing use of camera traps, there is an urgent need to
reflect on how researchers should deal with human images caught on
cameras. On the one hand, it is important to respect the privacy of
individuals caught on cameras, while, on the other hand, there is a
larger public duty to report illegal activity. This creates ethical
dilemmas for researchers.
3. Here, based on our camera-trap research on snow leopards Panthera
uncia, we outline a general code of conduct to help improve the practice
of camera trap based research and help researchers better navigate the
ethical-legal tightrope of this important research tool.
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Forrest, J. L., Wikramanayake, E., Shrestha, R., Areendran, G., Gyeltshen, K., Maheshwari, A., Mazumdar, S., Naidoo, R., Thapa, G. J., Thapa, K. (2012). Conservation and climate change: Assessing the vulnerability of snow leopard habitat to treeline shift in the Himalaya. Biological Conservation, 150, 129–135.
Abstract: Climate change is likely to affect the persistence of large, space-requiring species through habitat shifts,
loss, and fragmentation. Anthropogenic land and resource use changes related to climate change can also
impact the survival of wildlife. Thus, climate change has to be integrated into biodiversity conservation
plans. We developed a hybrid approach to climate-adaptive conservation landscape planning for snow
leopards in the Himalayan Mountains. We first mapped current snow leopard habitat using a mechanistic
approach that incorporated field-based data, and then combined it with a climate impact model using a
correlative approach. For the latter, we used statistical methods to test hypotheses about climatic drivers
of treeline in the Himalaya and its potential response to climate change under three IPCC greenhouse gas
emissions scenarios. We then assessed how change in treeline might affect the distribution of snow leopard
habitat. Results indicate that about 30% of snow leopard habitat in the Himalaya may be lost due to a
shifting treeline and consequent shrinking of the alpine zone, mostly along the southern edge of the range
and in river valleys. But, a considerable amount of snow leopard habitat and linkages are likely to remain
resilient to climate change, and these should be secured. This is because, as the area of snow leopard habitat
fragments and shrinks, threats such as livestock grazing, retaliatory killing, and medicinal plant collection
can intensify. We propose this approach for landscape conservation planning for other species
with extensive spatial requirements that can also be umbrella species for overall biodiversity.
2012 Elsevier Ltd. All rights reserved
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Bagchi, S., Mishra, C., & Bhatnagar, Y. (2004). Conflicts between traditional pastoralism and conservation of Himalayan ibex (Capra sibirica) in the Trans-Himalayan mountains. Animal Conservation, 7, 121–128.
Abstract: There is recent evidence to suggest that domestic livestock deplete the density and diversity of wild herbivores in the cold deserts of the Trans-Himalaya by imposing resource limitations. To ascertain the degree and nature of threats faced by Himalayan ibex (Capra sibirica) from seven livestock species, we studied their resource use patterns over space, habitat and food dimensions in the pastures of Pin Valley National Park in the Spiti region of the Indian Himalaya. Species diet profiles were obtained by direct observations. We assessed the similarity in habitat use and diets of ibex and livestock using Non-Metric Multidimensional Scaling. We estimated the influence of the spatial distribution of livestock on habitat and diet choice of ibex by examining their co-occurrence patterns in cells overlaid on the pastures. The observed co-occurrence of ibex and livestock in cells was compared with null-models generated through Monte Carlo simulations. The results suggest that goats and sheep impose resource limitations on ibex and exclude them from certain pastures. In the remaining suitable habitat, ibex share forage with horses. Ibex remained relatively unaffected by other livestock such as yaks, donkeys and cattle. However, most livestock removed large amounts of forage from the pastures (nearly 250 kg of dry matter/day by certain species), thereby reducing forage availability for ibex. Pertinent conservation issues are discussed in the light of multiple-use of parks and current socio-economic transitions in the region, which call for integrating social and ecological feedback into management planning.
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Fox, J. L. (1997). Conflict between predators and people in Ladakh. Cat News, 17, 18.
Abstract: During a six-week period in Hemis National Park, Ladakh, India, snow leopards killed 10 sheep and goats and one leopard gained access to a livestock pen and killed many of the animals inside. Dholes also killed sheep and goats, and a wolf killed a young horse. Residents routinely remove snow leopard cubs from their dens to limit future damage by this species. How to deal with the plight of the people living in the area while still protecting the endangered species are major concerns of the International Snow Leopard Trust, which manages Hemis National Park. lgh.
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Abdunazarov B.B. (1990). Composition, structure and population of rare terrene vertebrate animals and their conservation perspectives in the nature reserves of Uzbekistan.
Abstract: An attempt of analyzing the role of Uzbekistan' nature reserves in conservation of gene pool of the rare and endangered terrene vertebrate fauna is done. Of 21 rare vertebrate species, 11 mammal species, eight nesting bird species and two reptile species were detected to inhabit seven nature reserves. This makes up 36.2 percent within the total number of species included in the Red Data Book of the Uzbek SSR or 3.7 percent of the country's fauna. Single snow leopards were found in the Chatkal and Hissar nature reserves. Data of the species inhabiting the Zaamin nature reserve needs to be verified.
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. (2023). Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection. Ecological Informatics, 77(102214), 1–14.
Abstract: 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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Gripenberg, U. (1982). Comparison of chromosome banding patterns in the snow leopard (Panthera uncial) and in other felids. International Pedigree Book of Snow Leopards, (3).
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Ahmad, A. (1997). Community-Based Natural Resources Management in Northern Pakistan. In R.Jackson and A.Ahmad (Ed.), (pp. 148–154). Lahore, Pakistan: Islt.
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