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Dzhanyspaev, A. D. (1991). Hunting Behavior of the Snow Leopard at the Alma-Atinski Nature Reserve (Vol. ix). Seattle: International Snow Leopard Trust.
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Ishunin G.I. (1984). Hunting and nature conservation in Uzbekistan (history and current status).
Abstract: Origination of fauna complexes in Uzbekistan from the Mustier period to present time is described. The remains of brown bear, cave hyena, wolf, fox, corsac, stone marten, badger, and snow leopard were found in cave Amankutan (western extremities of the Zaravshan ridge). Cattle breeding and farming has begun since mesolite; cave bear, Stenon horse, Pleistocene donkey, camel and aurochs dropped from the region's fauna, while marchor and striped hyena moved to the Hissar ridge, Babatag and Kugitang mountains from south; jackal, chaus, tiger, and Iranian otter settled along the river valleys. In the Neolith and Bronze Age cattle breeding and farming continued to develop, while hunting was less important. Mass hinting for animals in the time of Alexander the Great, Chingiz Khan, and Babur, the ruler of Fergana, is described. Mass extermination of kulan, goitered gazelle, saiga, and other game species also took place later more than 12,000 saigas were killed during one hunt at the end of 19th century in the Volga region. Animals also die from natural disasters the “djut”. Data concerning a current status of goitered gazelle, saiga, Bukhara deer, marchor, Severtsev's sheep, and urial is given.
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Chen, P., Gao, Y., Lee, A. T. L., Cering, L., Shi, K., Clark, S. G. (2016). Human–carnivore coexistence in Qomolangma (Mt. Everest) Nature Reserve, China: Patterns and compensation. Biological Conservation, (197), 18–26.
Abstract: Livestock depredation by large carnivores is frequently reported in Qomolangma (Mt. Everest) National Nature Reserve, Tibet Autonomous Region of China. Seeking to minimize conflicts, we assessed depredation patterns and ways to upgrade the compensation program. We gathered 9193 conflict records over 2011–2013 to determine the extent and tempo-spatial patterns of the depredation.Weinterviewed 22 local officials and 94 residents to learn their views on depredations and to assess the adequacy of compensation. Data showed that wolves (Canis lupus), lynx (Lynx lynx), and snowleopards (Panthera uncia)were themajor livestock predators. Total livestock
loss accounted for 1.2% of the entire stockholding (n=846,707) in the region. Wolves and lynx tended to take sheep and goats,whereas snowleopards favored yaks and cattle in relation to their proportional abundance. Predation mostly occurred in March through July. Livestock depredation by all predators when combined was best explained by terrain ruggedness and density of small- and large-bodied livestock. Temporal and spatial predation patterns variedamong carnivores.Most respondents (74%) attributed depredation causes to an increase in carnivore abundance. Only 7% blamed lax livestock herding practice for predation losses. Five percent said that
predation was the result of livestock population increases, while 11% had no idea. The compensation scheme was found to be flawed in all aspects—predation verification, application procedure, compensation standard, operational resource allocation, making payment, and other problems. To enhance management for human–carnivore coexistence, we recommend a problem-oriented, integrated, adaptive approach that targets the complex social context of the conflict and addresses the interconnected functions of decision-making process.
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Sangay, T., & Vernes, K. (2008). Human-wildlife conflict in the Kingdom of Bhutan: Patterns of livestock predation by large mammalian carnivores (Vol. 141).
Abstract: We examined predation activity throughout Bhutan by tiger (Panthera tigris), common leopard (Panthera pardus), snow leopard (Uncia uncia) and Himalayan black bear (Ursus thibetanus) on a variety of livestock types using data gathered over the first two years (2003-2005) of a compensation scheme for livestock losses. One thousand three hundred and seventy five kills were documented, with leopards killing significantly more livestock (70% of all kills),
than tigers (19%), bears (8%) and snow leopards (2%). About 50% of livestock killing were of cattle, and about 33% were of horses, with tigers, leopards and snow leopards killing a significantly greater proportion of horses than predicted from availability. Examination of cattle kills showed that leopards killed a significantly greater proportion of smaller prey (e.g., calves), whereas tigers killed a significantly greater proportion of larger prey (e.g., bulls). Overall, livestock predation was greatest in summer and autumn which corresponded with a peak in cropping agriculture; livestock are turned out to pasture and forest during the cropping season, and subsequently, are less well guarded than at other times. Across Bhutan, high horse density and low cattle and yak density were associated with high rates of livestock attack, but no relationship was found with forest cover or human population density. Several northern districts were identified as 'predation hotspots', where proportions of livestock lost to predation were considerable, and the ratio of reported kills to relative abundance of livestock was high. Implications of our findings for mitigating livestock losses and for conserving large carnivores in Bhutan are discussed.
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Dawa, T., Farrington, J., Norbu, K. (2006). Human-wildlife Conflict in the Chang Tang Region of Tibet: The Impact of Tibetan Brown Bears and other Wildlife on Nomadic Herders with Recommendations for Conflict Mitigation. Lhasa, Tibet Autonomous Region, China: WWF China-Lhasa Field Office.
Abstract: The multiple-use Chang Tang and Seling Lake Nature Reserves were created in 1993 to protect the unique assemblage of large fauna inhabiting the high-altitude steppe grasslands of northern Tibet, including the Tibetan antelope, Tibetan wild ass, Tibetan brown bear, Tibetan Gazelle, wild yak, and snow leopard. Prior to creation of the reserve, many of these species were heavily hunted for meat and sale of parts. Since creation of the reserve, however, killing of wildlife by subsistence hunters and commercial poachers has declined while in the past five years a new problem has emerged, that of human-wildlife conflict. With human, livestock, and wildlife populations in the reserves all increasing, and animals apparently emboldened by reserve-wide hunting bans, all forms of human-wildlife conflict have surged rapidly since 2001. This conflict takes on four primary forms in the Chang Tang region: 1)killing of domestic livestock in corrals and on open pastures by Tibetan brown bears, snow leopards, and other predators, 2) Tibetan brown bears badly damaging herders’ cabins and tents in search of food, 3) loss of important grass resources to large herds of widely migrating wild ungulates, particularly the Tibetan wild ass, possibly leading to winter starvation of livestock, 4) driving off of domestic female yaks by wild yak bulls in search of harems.
In April of 2006, the authors conducted a wildlife conflict survey of 300 herding households in Nagchu Prefecture’s Shenzha, Tsonyi, and Nyima Counties. Results showed that the 87 percent of households had experienced some form of wildlife conflict since 1990. The Tibetan brown bear was the largest source of wildlife conflict, affecting 49 percent of surveyed households, followed by grazing competition conflict which affected 36 percent of surveyed households, and snow leopard conflict which affected 24 percent of surveyed households. Type and frequency of wildlife conflict problems cut across all three surveyed socio-economic factors, residence type, size of living group, and economic status/herd size, and was primarily a function of location. A break down of incidences of human-wildlife conflict into three 5 to 6-year time periods between January 1990 and April 2006 revealed dramatic increases in conflict occurring since 2001. When compared to the 1990-1995 period, the incidence of conflict today ranged from 2.6 times higher for fox conflict to 5.5 times higher for conflict with snow leopards, while there was a 4.6 fold increase in the occurrence of bear conflict. From second-hand accounts and wildlife remains confiscated from herders, it is now believed that retaliatory killing of wildlife rivals commercial poaching as the greatest threat to the continued existence of the Chang Tang region's large fauna. Human-wildlife conflict reduction strategies and wildlife conservation education programs must be devised and implemented in order to halt the retaliatory killing of wildlife by nomadic herders in the Chang Tang.
Lhasa, Tibet Autonomous Region, China: WWF China-Lhasa Field Office
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Li, J., Yin, H., Wang, D., Jiagong, Z., Lu, Zhi. (2013). Human-snow leopard conflicts in the Sanjiangyuan Region of the Tibetan Plateau. Biological Conservs, (166), 118–123.
Abstract: Conflicts between humans and snow leopards are documented across much of their overlapping distribution
in Central Asia. These conflicts manifest themselves primarily in the form of livestock depredation
and the killing of snow leopards by local herders. This source of mortality to snow leopards is a key conservation concern. To investigate human-snow leopard conflicts in the Sanjiangyuan Region of the Tibetan Plateau, we conducted household interviews about local herders’ traditional use of snow leopard
parts, livestock depredation, and overall attitudes towards snow leopards. We found most respondents
(58%) knew that snow leopard parts had been used for traditional customs in the past, but they claimed
not in the past two or three decades. It may be partly due to the issuing of the Protection of Wildlife Law
in 1998 by the People’s Republic of China. Total livestock losses were damaging (US$ 6193 per household
in the past 1 year), however snow leopards were blamed by herders for only a small proportion of those
losses (10%), as compared to wolves (45%) and disease (42%). Correspondingly, the cultural images of
snow leopards were neutral (78%) and positive (9%) on the whole. It seems that human-snow leopard
conflict is not intense in this area. However, snow leopards could be implicated by the retaliatory killing
of wolves. We recommend a multi-pronged conservation program that includes compensation, insurance
programs, and training local veterinarians to reduce livestock losses.
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Farrington, J., Tsering, D. (2019). Human-snow leopard conflict in the Chang Tang region of Tibet, China. Biological Conservation, 237, 504–513.
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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Alexander, J., Chen, P., Damerell, P., Youkui, W., Hughes, J., Shi, K., Riordan, P. (2015). Human wildlife conflict involving large carnivores in Qilianshan, China and the minimal paw-print of snow leopards. Biological Conservation, 187, 1–9.
Abstract: In this paper, we assess local perceptions towards snow leopards in North West China using a framework
depicting key conflict domains. We describe the perceived threats posed to humans by the snow leopard
and set them within beliefs and attitudes towards other species within the large carnivore assemblage in
this region. Surveys were conducted in seven villages within Qilianshan National Nature Reserve, Gansu
Province, China, to document reports of snow leopard (Panthera uncia), grey wolf (Canis lupus), Eurasian
lynx (Lynx lynx) and brown bear (Ursus arctos) depredation of livestock, and local attitudes towards each
species. Questionnaire-based interviews were held with 60 households and 49 livestock herders. Herding
of yak, sheep and goats was found to be a common livelihood activity among households in all villages.
Herders reported losing livestock to all four carnivore species. Herders reported that depredation was the
most common event affecting livestock, compared with natural disasters or disease, and represented a
total loss of 3.6% of the livestock population during the previous year. Most (53%) depredation losses were
attributed to lynx, while snow leopards were held responsible for only 7.8% of depredation losses. The
reported impact of snow leopards on herding activities was relatively small and the majority of both
householders and herders expressed positive attitudes towards them and supported measures for their
protection. Households and herders held negative attitudes towards lynx, wolves and bears, however,
most likely due to their perceived threat to livestock and humans. Understanding community perceptions
of threats posed by wildlife is vital for gaining community support for, and engagement in, conflict
mitigation.
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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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Xiao, C., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. (2022). How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas. Journal of Resources and Ecology, 13(3), 483–500.
Abstract: The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain.
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