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Saparbayev, S.K., & Woodward, D. B. (2008). Snow Leopard (Uncia uncia) as an Indicator Species and Increasing Recreation Loads in the Almaty Nature Reserve.
Abstract: The purpose of this research is to analyze the data on ecology, biology and dynamics of snow leopard population in the Almaty Nature Reserve and to identify if the increasing numbers of ecotourists could contribute to the decrease of Uncia uncia population. The results of the study show that increasing recreation loads in the Reserve and adjacent territories elevate the disturbance level to the snow leopard's main prey Siberian Ibex and to the predator itself that could result in a decrease of population of this endangered species or its total extinction.
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Alexander, S., A., Zhang, C., Shi, K., Riordan, P. (2016). A granular view of a snow leopard population using camera traps in Central China. Biological Conservation, (197), 27–31.
Abstract: Successful conservation of the endangered snow leopard (Panthera uncia) relies on the effectiveness of monitoring programmes. We present the results of a 19-month camera trap survey effort, conducted as part of a longterm study of the snow leopard population in Qilianshan National Nature Reserve of Gansu Province, China. Weassessed the minimumnumber of individual snowleopards and population density across different sampling periods using spatial capture–recapture methods. Between 2013–2014, we deployed 34 camera traps across an area of 375 km2, investing a total of 7133 trap-days effort. Weidentified a total number of 17–19 unique individuals
from photographs (10–12 adults, five sub-adults and two cubs). The total number of individuals identified and estimated density varied across sampling periods, between 10–15 individuals and 1.46–3.29 snow leopards per 100 km2 respectively. We demonstrate that snow leopard surveys of limited scale and conducted over short sampling periods only present partial views of a dynamic and transient system.We also underline the challenges in achieving a sufficient sample size of captures and recaptures to assess trends in snow leopard population size and/or density for policy and conservation decision-making
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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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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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Mishra, C., Suryawanshi, K. (2014). Managing conflicts over livestock depradation by Large Carnivores. In SOUTH ASIAN ASSOCIATION FOR REGIONAL COOPERATION – Human-Wildlife Conflict in the Mountains of SAARC Region – Compilation of Successful Management Strategies and Practices (pp. 27–47).
Abstract: Managing wildlife-caused damage to human interests has become an important aspect of contemporary conservation management. Conflicts between pastoralism and carnivore conservation over livestock depredation pose a serious challenge to endangered carnivores worldwide, and have become an important livelihood concern locally. Here, we first review the primary causes of these conflicts, their socio-ecological correlates, and commonly employed mitigation measures. We then describe a community-based program to manage conflicts over livestock depredation by snow leopards Panthera uncia and wolves Canis lupus. A threats-based conceptual model of conflict management is presented. Conflicts over livestock depredation are characterized by complex, multi-scale interactions between carnivore and livestock behavioral ecology, animal husbandry, human psyche, culture, world-views, and socio-economic and education levels of affected peoples. A diversity of commonly employed conflict-mitigation measures is available. They aim at (i) reducing livestock depredation through better livestock herding, use of physical, chemical or psychological barriers, removal of carnivores, and use of livestock guard animals, (ii) offsetting economic losses through damage compensation and insurance programmes, and (iii) increasing peoples’ tolerance of carnivores through indirect approaches such as conservation education and economic incentives. For effective management, conflicts need to be understood along two important dimensions, viz., the reality of damage caused to humans, and the psyche and perceptions of humans who suffer wildlife caused damage. The efficacy of commonly used mitigation measures is variable. A combination of measures that reduce the level of livestock depredation, share or offset economic losses, and improve the social carrying capacity for carnivores will be more effective in managing conflicts than standalone measures
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Kichloo, M. A., Sharma, K., Sharma, N. (2023). Climate casualties or human disturbance? Shrinking distribution of the three large carnivores in the Greater Himalaya. Springer – Climatic Change, 176(118), 1–17.
Abstract: Mammalian carnivores are key to our understanding of ecosystem dynamics, but most of them are threatened with extinction all over the world. Conservating large carnivores is often an arduous task considering the complex relationship between humans and carnivores, and the diverse range and reasons of threats they face. Climate change is exacerbating the situation further by interacting with most existing threats and amplifying their impacts. The Mountains of Central and South Asia are warming twice as rapidly as the rest of the northern hemisphere. There has been limited research on the effect of climate change and other variables on large carnivores. We studied the patterns in spatio-temporal distribution of three sympatric carnivores, common leopard, snow leopard, and Asiatic black bear in Kishtwar high altitude National Park, a protected area in the Great Himalayan region of Jammu and Kashmir. We investigated the effects of key habitat characteristics as well as human disturbance and climatic factors to understand the spatio-temporal change in their distributions between the early 1990s and around the year 2016–2017. We found a marked contraction in the distribution of the three carnivores between the two time periods. While snow leopard shifted upwards and further away from human settlements, common leopard and Asiatic black bear suffered higher rates of local extinctions at higher altitudes and shifted to lower areas with more vegetation, even if that brought them closer to settlements. We also found some evidence that snow leopards were less likely to have faced range contraction in areas with permanent glaciers. Our study underscores the importance of climate adaptive conservation practices for long-term management in the Greater Himalaya, including the monitoring of changes in habitat, and space-use patterns by human communities and wildlife.
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Alexander, D. (1980). Report from a troubled land: The Soviet invasion of Afghanistan crushed oe of the most promising conservation programs in the Third World.
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Geits, A. V., Makarov, O.A. (1977). About the distribution of the snow leopard in the Altai. In V. E. Sokolov (Ed.), Rare Types of Mammals and Their Conservation (pp. 115–116).
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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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Fox, J. L. (1985). An Annotated Bibliography of Literature on the Snow Leopard.
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