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Kachel, S., Bayrakcismith, R., Kubanychbekov, Z., Kulenbekov, R., McCarthy, T., Weckworth, B., Wirsing, A. |
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Ungulate spatiotemporal responses to contrasting predation risk from wolves and snow leopards |
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2022 |
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Journal of Animal Ecology |
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1-16 |
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landscape of fear, multiple-predator effects, non-consumptive effects, predation-risk effects, predator facilitation, risk allocation, snow leopard, wolf |
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1. Spatial responses to risk from multiple predators can precipitate emergent consequences for prey (i.e. multiple-predator effects, MPEs) and mediate indirect interactions between predators. How prey navigate risk from multiple predators may therefore have important ramifications for understanding the propagation of predation-risk effects (PREs) through ecosystems.
2. The interaction of predator and prey traits has emerged as a potentially key driver of antipredator behaviour but remains underexplored in large vertebrate systems, particularly where sympatric prey share multiple predators. We sought to better generalize our understanding of how predators influence their ecosystems by considering how multiple sources of contingency drive prey distribution in a multi-predator–multi-prey system.
3. Specifically, we explored how two sympatric ungulates with different escape tactics—vertically agile, scrambling ibex Capra sibirica and sprinting argali Ovis ammon—responded to predation risk from shared predators with contrasting hunting modes—cursorial wolves Canis lupus and vertical-ambushing, stalking snow leopards Panthera uncia.
4. Contrasting risk posed by the two predators presented prey with clear trade-offs. Ibex selected for greater exposure to chronic long-term risk from snow leopards, and argali for wolves, in a nearly symmetrical manner that was predictable based on the compatibility of their respective traits. Yet, acute short-term risk from the same predator upended these long-term strategies, increasing each ungulates' exposure to risk from the alternate predator in a manner consistent with a scenario in which conflicting antipredator behaviours precipitate risk-enhancing MPEs and mediate predator facilitation. By contrast, reactive responses to wolves led ibex to reduce their exposure to risk from both predators—a risk-reducing MPE. Evidence of a similar reactive risk-reducing effect for argali vis-à-vis snow leopards was lacking.
5. Our results suggest that prey spatial responses and any resulting MPEs and prey-mediated interactions between predators are contingent on the interplay of hunting mode and escape tactics. Further investigation of interactions among various drivers of contingency in PREs will contribute to a more comprehensive understanding and improved forecasting of the ecological effects of predators. |
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SLN @ rakhee @ |
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1704 |
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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. |
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Title |
Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies |
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Journal Article |
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Year |
2023 |
Publication |
Global Ecology & Conservation |
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41 |
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e02350 |
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1-13 |
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Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter |
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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 ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
SLN @ rakhee @ |
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1715 |
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Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. |
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Title |
Research trends and management options in human-snow leopard conflict |
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Journal Article |
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2020 |
Publication |
Biological Conservation |
Abbreviated Journal |
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242 |
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108413 |
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1-10 |
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Snow leopards, Systematic review, Compensation, Co-existence, Livestock, Human-wildlife conflict, Mitigation |
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Conservation of the snow leopard (Panthera uncia) is challenging because of its threatened status and increase in human-snow leopard conflict (HSC). The area of occupancy of the snow leopard comprises mountainous regions of Asia that are confronted with various environmental pressures including climate change. HSCs have increased with a burgeoning human population and economic activities that enhance competition between human and snow leopard or its preys. Here we systematically review the peer-reviewed literature from 1994 to 2018 in Web of Science, Google Scholar, Science Direct and PubMed (30 articles), to evaluate the current state of scholarship about HSCs and their management. We determine: 1) the spatio-temporal distribution of relevant researches; 2) the methodologies to assess HSCs; 3) and evaluate existing interventions for conflict management; and 4) the potential options for HSC management. The aim of the current study is thus to identify key research gaps and future research requirements. Of the articles in this review, 60% evaluated the mitigation of HSCs, while only 37% provided actionable and decisive results. Compensation programs and livestock management strategies had high success rates for mitigating HSCs through direct or community-managed interventions. Further research is required to evaluate the efficacy of existing HSC mitigation strategies, many of which, while recommended, lack proper support. In spite of the progress made in HSC studies, research is needed to examine ecological and sociocultural context of HSCs. We suggest future work focus on rangeland management for HSC mitigation, thus ultimately fostering a co-existence between human and snow leopard. |
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SLN @ rakhee @ |
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1716 |
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Atzeni, L., Wang, J., Riordan, P., Shi, K., Cushman, S. A. |
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Title |
Landscape resistance to gene flow in a snow leopard population from Qilianshan National Park, Gansu, China |
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Journal Article |
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2023 |
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Landscape Ecology |
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Landscape genetics · MLPE · Gene flow · Genetic distance · Isolation by distance · Isolation by resistance · Landscape resistance · Snow leopard · Principal component analysis |
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Context: The accurate estimation of landscape resistance to movement is important for ecological understanding and conservation applications. Rigorous estimation of resistance requires validation and optimization. One approach uses genetic data for the optimization or validation of resistance models. Objectives We used a genetic dataset of snow leopards from China to evaluate how landscape genetics resistance models varied across genetic distances and spatial scales of analysis. We evaluated whether landscape genetics models were superior to models of resistance derived from habitat suitability or isolation-by-distance.
Methods: We regressed genetically optimized, habitat-based, and isolation-by-distance hypotheses against genetic distances using mixed effect models. We explored all subset combinations of genetically optimized variables to find the most supported resistance scenario for each genetic distance.
Results: Genetically optimized models always out-performed habitat-based and isolation-by-distance hypotheses. The choice of genetic distances influenced the apparent influence of variables, their spatial scales and their functional response shapes, producing divergent resistance scenarios. Gene flow in snow leopards was largely facilitated by areas of intermediate ruggedness at intermediate elevations corresponding to small-to-large valleys within and between the mountain ranges.
Conclusions: This study highlights that landscape genetics models provide superior estimation of functional dispersal than habitat surrogates and suggests that optimization of genetic distance should be included as an optimization routine in landscape genetics, along with variables, scales, effect size and functional response shape. Furthermore, our study provides new insights on the ecological conditions that promote gene flow in snow leopards, which expands ecological knowledge, and we hope will improve conservation planning. |
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SLN @ rakhee @ |
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1720 |
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Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. |
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Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection |
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Journal Article |
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2023 |
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Ecological Informatics |
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77 |
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102214 |
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1-14 |
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Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards |
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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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SLN @ rakhee @ |
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1723 |
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Kichloo, M. A., Sharma, K., Sharma, N. |
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Climate casualties or human disturbance? Shrinking distribution of the three large carnivores in the Greater Himalaya |
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Journal Article |
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2023 |
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Springer – Climatic Change |
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176 |
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118 |
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1-17 |
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Snow leopard · Common leopard · Asiatic black bear · Climate change · Multi- season occupancy analysis · Local ecological knowledge · Imperfect detection |
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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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SLN @ rakhee @ |
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1724 |
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Zhang, C., Ma, T., Ma, D. |
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Status of the snow leopard Panthera uncia in the Qilian Mountains, Gansu Province, China |
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2023 |
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Oryx |
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1-6 |
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Camera trapping, China, density, Panthera uncia, Qilian Mountains, snow leopard, spatially explicit capture–recapture |
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Population density estimation is integral to the effective conservation and management of wildlife. The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List, and reliable information on its density is a prerequisite for its conservation and management. Little is known about the status of the snow leopard in the central and eastern Qilian Mountains, China. To address this, we estimated the population density of the snow leopard using a spatially explicit capture–recapture model based on camera trapping in Machang in the central and eastern Qilian Mountains during January–March 2019. We set up
40 camera traps and recorded 84 separate snow leopard captures over 3,024 trap-days. We identified 18 individual snow leopards and estimated their density to be 2.26/100 km. Our study provides baseline information on the snow leopard and the first population estimate for the species in the central and eastern Qilian Mountains. |
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SLN @ rakhee @ |
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1725 |
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Thapa, K., Rayamajhi, S. |
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Anti-predator strategies of blue sheep (naur) under varied predator compositions: a comparison of snow leopard-inhabited valleys with and without wolves in Nepal |
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2023 |
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Wildlife Research |
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1-9 |
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Annapurna conservation area, antipredator behavior, blue sheep (Naur), predation, prey predator traits, snow leopard, trade-off, wolf. |
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In Nepal, naur are usually the staple wild prey for the snow leopard, a solitary stalker hunter, and in some cases, for the wolf who hunts in a pack. We assumed that naur would adapt their anti-predatory responses to the presence of chasing and ambushing predators in the Manang Valley, where there are snow leopards and wolves, and in the Nar Phu valley, an area where there is only the snow leopard.
Aims. The aim of this study was to determine if there were differences in anti-predator strategies (vigilance, habitat selection and escape terrain) of naur in two valleys over two seasons, spring and autumn.
Methods. In spring 2019, we conducted a reconnaissance survey on the status of the naur and its habitat in the Manang and Nar Phu valleys of the Annapurna Conservation Area, Nepal. In spring and autumn 2020 and 2021, we observed 360 focal naur individuals (180 individuals in each valley), using the vigilance behaviour methodology to examine the behaviour of the naur.
Key results. There was little difference in the size of the naur groups between the Manang and Nar Phu valleys. The naur were twice as vigilant in Manang (15%), where there are snow leopards and wolves, as they were in Nar Phu (9%), with only snow leopards. The distance from the naur to escape cover was significantly shorter in Manang than in Nar Phu valley. Naur used significantly more rolling terrain in Nar Phu than in Manang. Conclusions. The return of wolves to the Manang valley may have resulted in an increase in the level of naur vigilance. Most likely, the wolves in Manang have already had an effect on the female-to-young-ratio, and this effect will possibly have important consequences for the naur population, as well as at the ecosystem level in the future. Other key determining factors, such as the climate crisis and changes in local resources, could have a significant impact on the naur population, indicating the need for more research. Implications. The findings of this study would provide valuable baseline information for the design of a science-based conservation strategy for conservation managers and scientists on naur, snow leopards and wolves. |
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SLN @ rakhee @ |
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1732 |
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Thapa, K., Baral, S., Rahamajhi, S. |
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Title |
Effectiveness of Human-Snow leopard co-existence measure- a systematic analysis |
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2023 |
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Journal for Nature Conservation |
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76 |
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126511 |
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1-11 |
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Community-based conservation, Himalayan, Snow leopard range countries |
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Snow leopards and agropastoral communities have co-existed in snow leopard range countries for centuries. The vulnerable snow leopard forms and maintains the entire ecosystem, serving as an indicator species of a healthy alpine ecosystem. However, snow leopards, on the other hand, habitually kill livestock, occasionally killing 100 or more livestock in a single night, resulting in snow leopard retaliation. Thus, the snow leopard is becoming more threatened, so more attention should be paid. Therefore, numerous conservation mitigation strategies have been applied to maintain human-snow leopard coexistence in countries of the snow leopard range. However, such implemented conservation strategies lacked a thorough assessment of their achievements or shortcomings in protecting the snow leopard and enhancing community tolerance. Therefore, we systematically examined and evaluated peer-reviewed articles and book chapters on existing and implemented mitigation measures. We use the software Publish or Perish to achieve this, and we assess using the Preferred Reporting of Items for Systematic Review and Meta-Analysis (PRISMA) review approach. We thoroughly analyzed 42 papers and book chapters that were condensed human- snow leopard co-existence-related literature published in English from 2010 to 2023. Almost 90% of the papers were country-specific, with the remaining papers covering regional or snow leopard ranges countries. Nepal had the most papers, followed by China, India, and Mongolia; however, Afghanistan, Bhutan, Pakistan, Russia, and Tajikistan each had<10%, but there was no single document from Kazakhstan or Kyrgyzstan. Predator-proof corral, improved herding practices, and community-based insurance programs were three of the key recommendations that were more than 10 to 22 times proposed interventions. There are site-specific sociocultural situations and environments that require long-term action-oriented research that is area-specific rather than short-term and generic interventions. We identified a large knowledge gap in snow leopard research, specifically a lack of evidence that demonstrates and quantifies the effects of conservation actions, and strongly advise that it be further researched. |
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1735 |
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Gao, Y., Wang, Y., Lee, A. T. L., Liu, Y., Luo, Y., Orrick, K., Alexander, J. S., Sangpo, J. T., Clark, S. G. |
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Contextualizing sociodemographic differences in Tibetan attitudes toward large carnivores |
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Journal Article |
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2023 |
Publication |
Conservation Science and Practice |
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e13049 |
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1-15 |
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ABC model, brown bear, gray wolf, snow leopard, Tibet |
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Fostering human–wildlife coexistence necessitates a thorough and nuanced grasp of local attitudes toward wildlife. Attitudes can vary substantially based on the sociodemographic backgrounds of individuals within a society. This study examines Tibetan attitudes toward large carnivores, emphasizing the importance of contextualization in discerning the effects of sociodemographic factors on attitudes. We began by analyzing existing research on Tibetan attitudes toward wildlife in China, identifying previously studied sociodemo- graphic variables. We then executed an online survey to evaluate the affective, behavioral, cognitive, and overall attitudes of ethnic Tibetans in China toward snow leopards (Panthera uncia), gray wolves (Canis lupus), and brown bears (Ursus arctos). Our findings show that while factors such as gender, age, religious identity, and level of education shape these attitudes, their influence differs depending on the specific attitude component and the target animal under examination. Therefore, making broad generalizations about sociodemographic differences in attitudes can be misleading. It is imperative for attitude research to clearly define the attitude component (what type of attitude), object (attitude toward what), and circumstance (attitude in which situation) being studied. Conducting ethnographic fieldwork in collaboration with local cultural experts can deepen our understanding of local perspectives and the ways sociodemographic factors influence attitudes. Such insights are pivotal for developing conservation strategies attuned to local sociocultural contexts. |
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SLN @ rakhee @ |
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1736 |
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Tallian, A., Mattisson, J., Samelius, G., Odden, J., Mishra, C., Linnell, J. D. C., Lkhagvajav, P., Johansson, O. |
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Title |
Wild versus domestic prey: Variation in the kill-site behavior of two large felids |
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Journal Article |
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Year |
2023 |
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Global Ecology and Conservation |
Abbreviated Journal |
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47 |
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e026750 |
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1-13 |
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Eurasian lynx, Handling time, Landscape, Livestock, Predation, Snow leopard |
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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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1737 |
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Hellstrom, M., Kruger, E., Naslund, J., Bisther, M., Edlund, A., Hernvall, P., Birgersson, V., Augusto, R., Lancaster, M. L. |
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Title |
Capturing environmental DNA in snow tracks of polar bear, Eurasian lynx and snow leopard towards individual identification |
Type |
Journal Article |
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Year |
2023 |
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Frontiers in Conservation Science |
Abbreviated Journal |
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4 |
Issue |
1250996 |
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1-9 |
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nuclear eDNA, snow, snow track, individual, polar bear (Ursus maritimus), Eurasian lynx (Lynx lynx), snow leopard (Panthera uncia), sampling protocol |
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Polar bears (Ursus maritimus), Eurasian lynx (Lynx lynx) and snow leopards (Panthera uncia) are elusive large carnivores inhabiting snow-covered and remote areas. Their effective conservation and management are challenged by inadequate population information, necessitating development of novel data collection methods. Environmental DNA (eDNA) from snow tracks (footprints in snow) has identified species based on mitochondrial DNA, yet its utility for individual-based analyses remains unsolved due to challenges accessing the nuclear genome. We present a protocol for capturing nuclear eDNA from polar bear, Eurasian lynx and snow leopard snow tracks and verify it through genotyping at a selection of microsatellite markers. We successfully retrieved nuclear eDNA from 87.5% (21/24) of wild polar bear snow tracks, 59.1% (26/44) of wild Eurasian lynx snow tracks, and the single snow leopard sampled. We genotyped over half of all wild polar bear samples (54.2%, 13/24) at five loci, and 11% (9/44) of wild lynx samples and the snow leopard at three loci. Genotyping success from Eurasian lynx snow tracks increased to 24% when tracks were collected by trained rather than untrained personnel. Thirteen wild polar bear samples comprised 11 unique genotypes and two identical genotypes; likely representing 12 individual bears, one of which was sampled twice. Snow tracks show promise for use alongside other non-invasive and conventional methods as a reliable source of nuclear DNA for genetic mark-recapture of elusive and threatened mammals. The detailed protocol we present has utility for broadening end user groups and engaging Indigenous and local communities in species monitoring. |
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1738 |
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Alexander, J. S., Murali, R., Mijiddorj, T. N., Agvaantseren, B., Lhamo, C., Sharma, D., Suryawanshi, K. R., Zhi, L., Sharma, K., Young, J. C. |
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Applying a gender lens to biodiversity conservation in High Asia |
Type |
Journal Article |
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2023 |
Publication |
Frontiers in Conservation Science |
Abbreviated Journal |
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1-8 |
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gender, snow leopards, pastoralism, rights, decision-making |
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Community-based conservation efforts represent an important approach to facilitate the coexistence of people and wildlife. A concern, however, is that these efforts build on existing community structures and social norms, which are commonly dominated by men. Some biodiversity conservation approaches may consequently neglect women’s voices and deepen existing inequalities and inequities. This paper presents two community case studies that draw upon the knowledge and experience gained in our snow leopard conservation practice in pastoral and agro-pastoral settings in Mongolia and India to better understand women’s roles and responsibilities. In these settings, roles and responsibilities in livestock management and agriculture are strongly differentiated along gender lines, and significant gaps remain in women’s decision-making power about natural resources at the community level. We argue that context-specific and gender-responsive approaches are needed to build community support for conservation actions and leverage women’s potential contributions to conservation outcomes. |
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1741 |
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Arias, M., Coals, P., Ardiantiono, Elves-Powell, J., Rizzolo, J. B., Ghoddousi, A., Boron, V., da Silva, M., Naude, V., Williams, V., Poudel, S., Loveridge, A., Payan, E., Suryawanshi, K., Dickman, A. |
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Reflecting on the role of human-felid conflict and local use in big cat trade |
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Journal Article |
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2024 |
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Conservation Science and Practice |
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6 |
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e13030 |
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1-7 |
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conflict, illegal trade, jaguar, leopard, lion, Panthera, snow leopard, tiger, wildlife crime |
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Illegal trade in big cat (Panthera spp.) body parts is a prominent topic in scientific and public discourses concerning wildlife conservation. While illegal trade is generally acknowledged as a threat to big cat species, we suggest that two enabling factors have, to date, been under-considered. To that end, we discuss the roles of human-felid conflict, and “local” use in illegal trade in big cat body parts. Drawing examples from across species and regions, we look at generalities, contextual subtleties, ambiguities, and definitional complexities. We caution against underestimating the extent of “local” use of big cats and highlight the potential of conflict killings to supply body parts. |
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SLN @ rakhee @ |
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1745 |
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Sanyal, O., Bashir, T., Rana, M., Chandan, P. |
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First photographic record of the snow leopard Panthera uncia in Kishtwar High Altitude National Park, Jammu and Kashmir, India |
Type |
Journal Article |
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2023 |
Publication |
Oryx |
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1-5 |
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Camera trapping, India, Kashmir Himalaya, Kishtwar, Panthera uncia, photographic record, snow leopard |
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The snow leopard Panthera uncia is categorized as Vulnerable on the IUCN Red List. It is the least well-known of the large felids because of its shy and elusive nature and the inaccessible terrain it inhabits across the mountains of Central and South Asia. We report the first photographic record of the snow leopard in Kishtwar High Altitude National Park, India. During our camera-trapping surveys, conducted using a grid-based design, we obtained eight photographs of snow leopards, the first at 3,280 m altitude on 19 September 2022 and subsequent photographs over 3,004-3,878 m altitude. We identified at least four different individuals, establishing the species’ occurrence in Kiyar, Nanth and Renai catchments, with a capture rate of 0.123 ± SE 0.072 captures/100 trap-nights. ghts. We also recorded the presence of snow leopard prey species, including the Siberian ibex Capra sibirica, Himalayan musk deer Moschus leucogaster, long-tailed marmot Marmota caudata and pika Ochotona sp., identifying the area as potential snow leopard habitat. Given the location of Kishtwar High Altitude National Park, this record is significant for the overall snow leopard conservation landscape in India. We recommend a comprehensive study across the Kishtwar landscape to assess the occupancy, abundance, demography and movement patterns of the snow leopard and its prey. In addition, interactions between the snow leopard and pastoral communities should be assessed to understand the challenges facing the conservation and management of this important high-altitude region. |
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1750 |
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Ismaili, R. R. R., Peng, X., Li., Y, Ali, A., Ahmad, T., Rahman, A. U., Ahmad, S., Shi, K. |
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Modeling Habitat Suitability of Snow Leopards in Yanchiwan National Reserve, China |
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Journal Article |
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2024 |
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Animals |
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14 |
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1938 |
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1-21 |
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snow leopard; maximum entropy modeling; Yanchiwan National Nature Reserve; species conservation; environmental impact |
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Snow leopards (Panthera uncia) are elusive predators inhabiting high-altitude and mountainous rugged habitats. The current study was conducted in the Yanchiwan National Nature Reserve, Gansu Province, China, to assess the habitat suitability of snow leopards and identify key environmental factors inducing their distribution. Field data collected between 2019 and 2022 through scat sampling and camera trapping techniques provided insights into snow leopard habitat preferences. Spatial distribution and cluster analyses show distinct hotspots of high habitat suitability, mostly concentrated near mountainous landscapes. While altitude remains a critical determinant, with places above 3300 m showing increased habitat suitability, other factors such as soil type, human footprint, forest cover, prey availability, and human disturbance also play important roles. These variables influence ecological dynamics and are required to assess and manage snow leopard habitats. The MaxEnt model has helped us to better grasp these issues, particularly the enormous impact of human activities on habitat suitability. The current study highlights the importance of altitude in determining snow leopard habitat preferences and distribution patterns in the reserve. Furthermore, the study underscores the significance of considering elevation in conservation planning and management strategies for snow leopards, particularly in mountainous regions. By combining complete environmental data with innovative modeling tools, this study not only improves local conservation efforts but also serves as a model for similar wildlife conservation initiatives around the world. By understanding the environmental factors driving snow leopard distribution, conservation efforts can be more efficiently directed to ensure the long-term survival of this endangered species. This study provides valuable insights for evidence-based conservation efforts to safeguard the habitats of snow leopards amidst emerging anthropogenic pressure and environmental fluctuations. |
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1751 |
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Pathak, A., Lamichhane, S., Dhakal, M., Karki, A., Dhakal, B. D., Chetri, M., Mintz, J., Pun, P., Neupane, P., Dahal, T. P., Rayamajhi, T., Paudel, P., Thapa, A., Regmi, P. R., Thami, S., Thapa, G., Khanal, S., Lama, S., Karki, J., Khanal, S., Ferdin, A. E. J. |
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Human-wildlife conflict at high altitude: A case from Gaurishankar conservation area, Nepal |
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2024 |
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Ecology and Evolution |
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14 |
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e11685 |
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1-9 |
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coexistence, compensation policy, Gaurishankar conservation area, high altitude, Himalayan black bear, human-wildlife conflict, leopard |
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Human–wildlife conflict studies of high-altitude areas are rare due to budget constraints and the challenging nature of research in these remote environments. This study investigates the prevalence and increasing trend of human–wildlife conflict (HWC) in the mountainous Gaurishankar Conservation Area (GCA) of Nepal, with a specific focus on leopard (Panthera pardus) and Himalayan black bear (Ursus thibetanus laniger). The study analyzes a decade of HWC reports and identifies goats as the livestock most targeted by leopards. The Dolakha district of GCA received the highest number of reports, highlighting the need for mitigation measures in the area. In GCA, livestock attacks accounted for 85% of compensation, with the remaining 15% for human injuries. We estimate that the number of reported wildlife attacks grew on average by 33% per year, with an additional increase of 57 reports per year following the implementation of a new compensation policy during BS 2076 (2019 AD). While bear attacks showed no significant change post-rule alteration, leopard attack reports surged from 1 to 60 annually, indicating improved compensation may have resulted in increased leopard-attack reporting rates. The findings emphasize the economic impact of HWC on local communities and suggest strategies such as increasing prey populations, promoting community education and awareness, enhancing alternative livelihood options, developing community-based insurance programs, and implementing secure enclosures (corrals) to minimize conflicts and foster harmonious coexistence. This research addresses a knowledge gap in HWC in high- altitude conservation areas like the GCA, providing valuable insights for conservation stakeholders and contributing to biodiversity conservation and the well-being of humans and wildlife. |
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Jackson, M. R., Munkhtsog, B., Munkhtsog, B., Hunter, B., Rice, D., Hunter, D. O. |
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Harnessing Drones for Snow Leopard Prey Surveys |
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2024 |
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SL Reports |
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1-8 |
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argali, Asiatic ibex, surveys, drone, Mongolia, snow leopard, thermal imagery, Unmanned Aerial Vehicle (UAV) |
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Surveying snow leopard prey species such as argali, ibex or blue sheep through traditional ground-based observations is time-consuming, expensive, and challenging. Aerial drones present a promising alternative. We tested using thermal-sensor- equipped drones to count ungulate populations in Mongolia’s Ikh Nart Nature Reserve, surveying ~400km of transects along five fixed routes for forty-three missions. Drones detected 235 prey animals and 209 livestock; 26% of all sightings were in areas that would not have been visible to hypothetical ground-based observers. Our tests reinforced the utility of drones for counting snow leopard prey and highlighted important issues and future advances for supporting largely autonomous prey surveys. We recommend biologists build upon existing technology to attain an inexpensive, easy to use, and field ready set of equipment and procedures that can reliably improve or replace traditional transect or point count methods for large prey species. |
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1753 |
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McCarthy, T.; Murray, K.; Sharma, K.; Johansson, O. |
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Preliminary results of a long-term study of snow leopards in South Gobi, Mongolia |
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2010 |
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Cat News |
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Autumn |
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53 |
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15-19 |
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snow leopard, Mongolia, monitor, population, Panthera, Snow Leopard Trust, Snow Leopard Conservation Fund, South Gobi, ecology, radio collar, GPS-satellite collar, home range, camera trapping, fecal genetics, occupancy modeling |
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Snow leopards Panthera uncia are under threat across their range and require urgent conservation actions based on sound science. However, their remote habitat and cryptic nature make them inherently difficult to study and past attempts have provided insufficient information upon which to base effective conservation. Further, there has been no statistically-reliable and cost-effective method available to monitor snow leopard populations, focus conservation effort on key populations, or assess conservation impacts. To address these multiple information needs, Panthera, Snow Leopard Trust, and Snow Leopard Conservation Fund, launched an ambitious long-term study in Mongolia’s South Gobi province in 2008. To date, 10 snow leo-pards have been fitted with GPS-satellite collars to provide information on basic snow leopard ecology. Using 2,443 locations we calculated MCP home ranges of 150 – 938 km2, with substantial overlap between individuals. Exploratory movements outside typical snow leopard habitat have been observed. Trials of camera trapping, fecal genetics, and occupancy modeling, have been completed. Each method ex-hibits promise, and limitations, as potential monitoring tools for this elusive species. |
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1151 |
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Author |
Yondon, O. |
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Title |
Long-Term Conservation of Argali and Snow Leopard in the Trans-Boundary Areas of the Altai-Sayan Ecoregion between Mongolia and Russia (Second Phase) |
Type |
Report |
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Year |
2010 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
1-6 |
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Keywords |
Mongolia, Russia, argali, snow leopard, Altai-Sayan |
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Abstract |
Objective 1: To ensure long-term conservation of Argali and Snow leopard in the selected areas through proactive involvement of local communities and local organisations.
Objective 2. Facilitate establishing new PA in priority areas (critical habitat and migration corridors) of Argali and Snow leopard, which includes also trans-boundary PA’s |
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Address |
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Corporate Author |
WWF Mongolia |
Thesis |
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Publisher |
WWF Mongolia |
Place of Publication |
Mongolia |
Editor |
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Language |
English |
Summary Language |
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Notes |
Half-year (6 month) report |
Approved |
no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
SLN @ rana @ |
Serial |
1106 |
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Permanent link to this record |
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Author |
Ming, M., Munkhtsog, B., McCarthy, T., McCarthy, K. |
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Title |
Monitor ing of Population Density of Snow Leopard in X injiang |
Type |
Journal Article |
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Year |
2011 |
Publication |
Journal of Ecology and Rural Environment |
Abbreviated Journal |
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Volume |
27 |
Issue |
1 |
Pages |
79-83 |
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Keywords |
Uncia uncia; snow leopard; monitoring method; trace; infrared camera; relative intensity |
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Abstract |
The snow leopard (Uncia uncia) is a very rare species in China. The survey of traces of snow leopard in Kunlun, Altay and Tianshan is them a instep of the Project of Snow Leopard in X injiang supported by the International Snow Leopard Trust ( SLT) and the Xinjiang Conservation Fund (XCF). During the field survey from 2004 to 2010, the Xinjiang Snow Leopard Group ( XSLG) spent about 270 days in over 20 different places, covering over 150 transects totaling nearly 190 km, and found 1- 3 traces per kilometer. The traces of snow leopard recorded include dung, odor, chains of footprints, scraping, paw nail marks, lying mark, fur, urine, bloodstain, leftover of prey corpse, roaring and others. Based on tracer image analyses, the XSLG got to know primarily scopes of the domains, distribution and relative density of the snow leopard in these areas. Then the group began to take infrared photos, conducted survey of food sources of the leopards, investigated fur market and paths of trading, and cases of killing, and carry out civil survey through questionnaire, non government organization community service and research on conflicts between grazing and wild life protection. A total of 36 infrared came ras were laid out, working a total of about 2 094 days or 50 256 hours. A total 71 rolls of film were collected and developed, includ ing 32 clear pictures of snow leopards, thus making up a shooting rate or capture rate of 1.53%. It was ascertained that in Tomur Peak area, there were 5- 8 snow leopards roaming within a range of 250 km2, forming a population density of 2��0- 3��2 per 100 km2. After compar ing the various monitoring results, the advantages and limitations of different monitoring methods have been discussed. |
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Language |
Chinese |
Summary Language |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
SLN @ rana @ |
Serial |
1303 |
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Permanent link to this record |
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Author |
Ale, S.B., Brown, J.S. |
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Title |
Prey behavior leads to predator: a case study of the Himalayan tahr and the snow leopard in Sagarmatha (Mt. Everest) National Park, Nepal |
Type |
Journal Article |
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Year |
2009 |
Publication |
Israel Journal of Ecology & Evolution |
Abbreviated Journal |
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Volume |
55 |
Issue |
4 |
Pages |
315-327 |
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Keywords |
vigilance, fear, behavioral indicator, predator, prey, snow leopard, Himalayan tahr, Mount Everest |
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Abstract |
Rare, elusive predators offer few sightings, hindering research with small sample sizes and lack of experimentation. While predators may be elusive, their prey are more readily observed. Prey respond to the presence of a predator, and these fear responses may have population- and community-level consequences. Anti-predator behaviors, such as vigilance, allow us to sidestep the difficulty of direct field studies of large predators by studying them indirectly. Here we used a behavioral indicator, the vigilance behavior of the Himalayan tahr, the snow leopard’s main local prey, to reveal the distribution and habitat use of snow leopards in the Mt. Everest region of Nepal. We combined techniques of conventional field biology with concepts of foraging theory to study prey behavior in order to obtain insights into the predator’s ecology. The Himalayan tahr’s vigilance behavior correlates with the distribution of snow leopard signs. Tahr actually led us to six sightings of snow leopards. We conclude that behavioral indicators provided by prey offer a valuable tool for studying and monitoring stealthy and rare carnivores. |
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Thesis |
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Publisher |
Science from Israel, a division of LPPLtd. |
Place of Publication |
Israel |
Editor |
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Language |
English |
Summary Language |
English |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
SLN @ rana @ |
Serial |
1109 |
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Permanent link to this record |
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Author |
WWF Russia & Mongolia |
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Title |
WWF Altai-Sayan Newsletter |
Type |
Report |
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Year |
2010 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
12 |
Pages |
6 |
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Keywords |
WWF Russia, WWF Mongolia, argali, snow leopard |
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Abstract |
WWF Russia and WWF Mongolia share the main achievements of both offices in Altai – Sayan Ecoregion regarding species conservation, protected areas, ecotourism, public awareness, education, eco clubs, fresh water. Several articles reference snow leopards:
WWF Mongolia
Argali population observation in transboundary area
WWF Russia
Ecotourism camps in the habitats of a snow leopard and argali WWF and UNDP
WWF Russia
WWF assessed the level of conflict between herders and a snow leopard in Republic of Tyva
WWF Russia
The first ecological festival in the history of Mountain Altai for snow leopard conservation! |
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Address |
Email: tivanitskaya@wwf.ru |
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Corporate Author |
Communication Staff of Altai - Sayan Programme in Russia and Mongolia |
Thesis |
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Publisher |
WWF |
Place of Publication |
Russia |
Editor |
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Language |
English |
Summary Language |
English |
Original Title |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
SLN @ rana @ |
Serial |
1110 |
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Permanent link to this record |
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Author |
Ale, S.B., Boesi, R. |
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Title |
Snow Leopard Sightings on the Top of the World |
Type |
Journal Article |
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Year |
2005 |
Publication |
Cat News |
Abbreviated Journal |
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Volume |
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Issue |
43 |
Pages |
19-20 |
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Keywords |
Mt.Everest, Sagarmatha National Park, sightings, snow leopard, Uncia uncia |
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Abstract |
Sightings of snow leopards Uncia uncia in the wild are rare. This is because snow leopards occur in low numbers and are very elusive (Schaller 1977). Snow leopards may be sparsely distributed,but they may not, however, be very elusive in the world's highest park, Sagarmatha (Mt. Everest) National Park (86° 30' 53“ E to 86° 99' 08” E and 27° 46' 19“ N to 27° 06' 45” N) in Nepal. |
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English |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
SLN @ rana @ |
Serial |
1111 |
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Permanent link to this record |
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Author |
Chadwick, D.H. |
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Title |
Out of the Shadows: The elusive Central Asian snow leopard steps into a |
Type |
Magazine Article |
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Year |
2008 |
Publication |
National geographic |
Abbreviated Journal |
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Volume |
213 |
Issue |
6 |
Pages |
106-129 |
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Keywords |
conservation, research, snow leopard, Uncia uncia |
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Abstract |
The elusive Central Asian snow leopard steps into a risk-filled future. |
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Address |
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Corporate Author |
National Geographic Society |
Thesis |
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Publisher |
National Geographic Society |
Place of Publication |
Washington, D.C. |
Editor |
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Language |
English |
Summary Language |
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no |
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Call Number ![sorted by Call Number field, ascending order (up)](img/sort_asc.gif) |
SLN @ rana @ |
Serial |
1113 |
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Permanent link to this record |