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Author Dawa, T., Farrington, J.
Title Conflict between nomadic herders and brown bears in the Byang thang Region of Tibet Type Journal Article
Year 2008 Publication Journal of the International Association of Tibetan Studies Abbreviated Journal
Volume 4 Issue (up) December Pages 1-42
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Abstract Article covers the human-brown bear conflict problem, which closely parallels that of snow leopard conflict in the TAR, the peer reviewed version of: Tsering, Dawa, John D. Farrington, and Kelsang Norbu. Competition and Coexistence: Human-Wildlife Conflict in the Chang Tang Region of Tibet. Lhasa, Tibet Autonomous Region, China: Tibet People’s Publishing House, 2007.

In order to evaluate the impact of recently introduced wildlife conservation policies, a human-wildlife conflict survey of three-hundred herding households was conducted in the south-central Byang thang (Qiangtang) area of the Tibet Autonomous Region (bod rang skyongs ljongs, Xizang Zizhi Qu). Results showed that Tibetan brown bears were the largest source of human-wildlife conflict in the survey area, affecting 49 percent of surveyed households between 1990 and 2006, with a 4.5-fold increase in conflict with bears occurring since implementation of various wildlife protection policies beginning in 1993. Types of bear conflict included livestock kills, raiding of human food supplies, damage to dwellings and furnishings, and direct attacks on herders. Brown bears have caused devastating

economic losses to herders and anecdotal evidence indicates that retaliatory killing of bears by herders now poses the greatest threat to the Tibetan brown bear. Immediate measures must be taken to resolve this conflict if humans and brown

bears are to coexist in the Byang thang region.
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Call Number SLN @ rana @ Serial 1150
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Author Singh, J.; Jackson, R.
Title Transfrontier conservation areas: Creating opportunities for conservation, peace, and the snow leopard in Central Asia Type Journal Article
Year 1999 Publication International Journal of Wilderness Abbreviated Journal
Volume 5 Issue (up) December Pages 7-12
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Call Number SLN @ rana @ Serial 1166
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Author Suryawanshi, Kulbhushan. R
Title Standardizing the double-observer survey method for estimating mountain ungulate prey of the endangered snow leopard Type Journal Article
Year 2011 Publication Oecelogia Abbreviated Journal
Volume Issue (up) December Pages
Keywords
Abstract Mountain ungulates around the world have been threatened by illegal hunting, habitat modification, increased livestock grazing, disease and development. Mountain ungulates play an important functional role in grasslands as primary consumers and as prey for wild carnivores, and monitoring of their populations is important for conservation purposes. However, most of the several currently available methods of estimating wild ungulate abundance are either difficult to implement or too expensive for mountainous terrain. A rigorous method of sampling ungulate abundance in mountainous areas that can allow for some measure of sampling error is therefore much needed. To this end, we used a combination of field data and computer simulations to test the critical assumptions associated with double-observer technique based on capture-recapture theory. The technique was modified and adapted to estimate the populations of bharal (Pseudois nayaur) and ibex (Capra sibirica) at five different sites. Conducting the two double-observer surveys simultaneously led to underestimation of the population by 15%. We therefore recommend separating the surveys in space or time.
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Call Number SLN @ rakhee @ Serial 1376
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Author Islam, M., Sahana, M., Areendran, G., Jamir, C., Raj, K., Sajjad, H.
Title Prediction of potential habitat suitability of snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) and niche overlap in the parts of western Himalayan region Type Journal Article
Year 2023 Publication Geo: Geography and Environment Abbreviated Journal
Volume 10 Issue (up) e00121 Pages 1-15
Keywords bioclimatic variables, habitat suitability, MaxEnt model, niche overlap, western Himalayan region
Abstract The snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) are the inhabitants of remote areas at higher altitudes with extreme geographic and climatic conditions. The habitats of these least-studied species are crucial for sustaining the Himalayan ecosystem. We employed the Maximum Entropy (MaxEnt) species distribution model to predict the potential habitat suitability of snow leopards and blue sheep and extracted common overlapped niches. For this, we utilised presence location, bio-climatic and environmental variables, and correlation analysis was applied to reduce the negative impact of multicollinearity. A total of 134 presence locations of snow leopards and 64 for blue sheep were selected from the Global Biodiversity Information Facility (GBIF). The annual mean temperature (Bio1) was found to be the most useful and highly influential factor to predict the potential habitat suitability of snow leopards. Annual mean temperature, annual precipitation and isothermality were the major influencing factors for blue sheep habitat suitability. Highly influential bio-climatic, topographic and environmental variables were integrated to construct the model for predicting habitat suitability. The area under the curve (AUC) values for snow leopard (0.87) and blue sheep (0.82) showed that the models are under good representation. Of the total area investigated, 47% was suitable for the blue sheep and 38% for the snow leopards. Spatial habitat assessment revealed that nearly 11% area from the predicted suitable habitat class of both species was spatially matched (overlapped), 48.6% area was unsuitable under niche overlap and 40.5% area was spatially mismatched niche. The presence of snow leopards and blue sheep in some highly suitable areas was not observed, yet such areas have the potential to sustain these elusive species. The other geographical regions interested in exploring habitat suitability may find the methodological framework adopted in this study useful for formulating an effective conservation policy and management strategy.
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Call Number SLN @ rakhee @ Serial 1719
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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 (up) 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 Filla, M., Lama, R. P., Ghale, T. R., Filla, T., Heurich, M., Waltert, M., Khorozyan, I.
Title Blue sheep strongly affect snow leopard relative abundance but not livestock depredation in the Annapurna Conservation Area, Nepal Type Journal Article
Year 2022 Publication Global Ecology and Conservation Abbreviated Journal
Volume 37 Issue (up) e02153 Pages 1-15
Keywords Co-existence, Himalayan marmot, Human-wildlife conflict, Intervention strategy, Panthera uncia, Pseudois nayaur
Abstract Large carnivores play key roles in their ecosystems, but their protection is a major challenge in biodiversity conservation due to conflicts with human interests. The snow leopard (Panthera uncia) is the top predator of Asian high-altitude landscapes and faces various threats including wild prey depletion and illegal killings as a consequence of livestock depredation. As the interactions between snow leopards, wild prey, and livestock are still insufficiently understood, we studied the effects of 1) wild prey (blue sheep Pseudois nayaur and Himalayan marmots Marmota himalayana) and domestic prey on snow leopard relative abundance, and of 2) these ecological parameters and intervention applications on livestock depredation by snow leopards. In the Annapurna Conservation Area, Nepal, we monitored wildlife populations and livestock along transects (490.8 km) in 82 grid cells (4 ×4 km) in 2019 and 2021 and conducted questionnaire surveys to determine livestock depredation between 2018 and 2021 (n = 479 households). We applied generalized linear models (GLMs) and sample comparison testing to examine the effects of prey densities and other environmental and anthropogenic predictors on snow leopard relative abundance and livestock depredation. Blue sheep density strongly positively affected snow leopard relative abundance, which also increased with terrain ruggedness and decreased with increasing densities of livestock and the human population. The size of livestock holdings shaped depredation events of large livestock (yak, cattle and horse), whereas depredation events of sheep and goats, which accounted for most (68.6%) depredated animals, decreased with increasing human population density and marmot presence. The strong impact of blue sheep on snow leopard relative abundance supports demands for integrating this ungulate into conservation and management plans, including wild prey recovery and translocation. The rather weak evidence for effects of blue sheep on depredation events suggests that conflicts over livestock depredation by snow leopards would neither be inflicted nor solved by increasing wild prey abundance. This demonstrates the need to improve intervention strategies in the Annapurna region, such as predator-proofing corrals and optimizing daytime herding practices. We suggest further exploring the effects of marmots and other secondary prey on livestock depredation rates, and testing the suitability of additional interventions, e.g., dogs and deterrents, as conflict mitigation tools. Our results will support wildlife managers in setting conservation priorities to promote the long-term co-existence of local people and snow leopards.
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Call Number SLN @ rakhee @ Serial 1682
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Author Ahmad, S., Ali, H., Asif, M., Khan, T, Din, N., Rehman, E. U., Hameed, S., Din, J. U., Nawaz, M. A.
Title Spatial density pattern of Himalayan Ibex (Capra sibirica) in Pakistan Type Journal Article
Year 2022 Publication Global Ecology & Conservation Abbreviated Journal
Volume 39 Issue (up) e02288 Pages 1-12
Keywords Himalayan ibex, Population, Hindu Kush, Himalaya, Karakoram, Pakistan
Abstract Mountain ungulates perform a key role in maintaining the balance of ecosystems as they are the primary consumers of vegetation and prey for large predators. The mountain ranges of northern Pakistan are home to six species of mountain ungulates, and the Himalayan ibex (Capra sibirica), hereafter ibex, is the most abundant among them. This study was conducted in three administrative regions of northern Pakistan, viz. Gilgit-Baltistan (GB), Azad Jammu and Kashmir (AJK), and Khyber Pakhtunkhwa (KP), to generate a range-wide density pattern map of ibex. A double-observer survey was conducted in 25 study sites during 2018–2021 across the ibex distribution range, covering an area of about 35,307 km2, by walking transects totaling 1647 km. Within the ibex range where the survey was not conducted due to financial and logistical constraints, we obtained species population information from local wildlife departments’ most recent annual survey data. The aim was to generate a density map for the entire ibex range. Using the BBRe-capture package in program R, we estimated an ibex population of 7639 (95 % CI) with a mean density of 0.21/km2 in the surveyed area. Combining with the secondary data from un-surveyed areas, the total population estimate for the country came to 10,242 ibex. The largest population densities were observed in four valleys (Shimshal, Gulkin-Hussaini, Khyber, and Khunjerab) of the Karakoram-Pamir range, followed by the Hindu Kush range (Chitral Wildlife Division [WD]). The central and eastern parts of the Karakoram range had moderate to low densities, while the Himalayan range (e.g., Astore Valley) supported a small population. The mean herd size was 15 individuals (range: 5–41), and the average detection probability of observers A and B was 0.69 and 0.48, respectively. The average male and young ratios per 100 females were estimated to be 75 and 81, respectively. The range-wide density map developed during the study provided an evidence for the impact of trophy hunting programs and an objective tool for range-wide conservation planning of the species.
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Call Number SLN @ rakhee @ Serial 1699
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Author Yu, C., Ding, N., Li, Y., Liu, Y, Lyu, Z., Munkhtsog, B., Wuliji., Ma, Z., Se, Y., Pei, W., Gao, Y., Zhang, Y., Han, Q., Shi, K.
Title Preliminary results from applying satellite-tracking on snow leopards for the first time in China Type Journal Article
Year 2022 Publication Global Ecology and Conservation Abbreviated Journal
Volume 40 Issue (up) e02346 Pages 1-7
Keywords Panthera Uncia Home Range Satellite telemetry Qilian
Abstract The lack of snow leopards telemetry studies in China has hampered researchers in studying the movement ecology and home range sizes of snow leopards, the knowledge gap of which has affected effective planning and improvement of snow leopard protected areas in China. In 2021, we conducted China’s first snow leopard satellite-tracking project in Qilianshan National Park, China, one of the most representative mountain areas of snow leopard habitat. The outcomes of the research aims to apply gained understanding on snow leopard home range to enhance management and planning of snow leopard protected area. Here we summarize the preliminary home range results on the first three satellite-tracked snow leopards in China. The three snow leopards were followed between 3 and 6 months yielding a total of 7845 GPS locations. Using
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Call Number SLN @ rakhee @ Serial 1705
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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 (up) 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 Tallian, A., Mattisson, J., Samelius, G., Odden, J., Mishra, C., Linnell, J. D. C., Lkhagvajav, P., Johansson, O.
Title Wild versus domestic prey: Variation in the kill-site behavior of two large felids Type Journal Article
Year 2023 Publication Global Ecology and Conservation Abbreviated Journal
Volume 47 Issue (up) e026750 Pages 1-13
Keywords Eurasian lynx, Handling time, Landscape, Livestock, Predation, Snow leopard
Abstract Livestock depredation is an important source of conflict for many terrestrial large carnivore

species. Understanding the foraging behavior of large carnivores on domestic prey is therefore

important for both mitigating conflict and conserving threatened carnivore populations. Handling

time is an important, albeit often overlooked, component of predatory behavior, as it directly

influences access to food biomass, which can affect predator foraging efficiency and subsequent

kill rates. We used long-term data on snow leopards (Panthera uncia) in Mongolia (Asia) and

Eurasian lynx (Lynx lynx) in Norway (Europe) to examine how large carnivore foraging patterns

varied between domestic and wild prey, and how the different landscape characteristics affected

those patterns. Our results suggest handling time was generally shorter for domestic compared to

wild prey. For snow leopards, rugged terrain was linked to increased handling time for larger

prey. For lynx, handling time increased with terrain ruggedness for domestic, but not wild, prey,

and was greater in closed compared to open habitats. There were also other differences in snow

leopard and lynx foraging behavior, e.g., snow leopards also stayed longer at, and remained closer

to, their kill sites than lynx. Shorter handling time suggests that felids may have utilized domestic

prey less effectively than wild prey, i.e., they spent less time consuming their prey. This could a)

result in an energetic or fitness cost related to decreased felid foraging efficiency caused by the

risk of anthropogenic disturbance, or b) exacerbate conflict if reduced handling time associated

with easy prey results in increased livestock depredation.
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Call Number SLN @ rakhee @ Serial 1737
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