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| Author | Pal, R., Panwar, A., Goyal, S. P., Sathyakumar, S. | ||||
| Title | Changes in ecological conditions may influence intraguild competition: inferring interaction patterns of snow leopard with co-predators | Type | Journal Article | ||
| Year | 2022 | Publication | PeerJ | Abbreviated Journal | |
| Volume | 10 | Issue  |
e14277 | Pages | 1-26 |
| Keywords | Common leopard, Woolly wolf, Occupancy, Interspecific interactions, Temporal overlap, Scat analysis | ||||
| Abstract | Background: Large-scale changes in habitat conditions due to human modifications and climate change require management practices to consider how species communities can alter amidst these changes. Understanding species interactions across the gradient of space, anthropogenic pressure, and season provide the opportunity to anticipate possible dynamics in the changing scenarios. We studied the interspecific interactions of carnivore species in a high-altitude ecosystem over seasonal (summer and winter) and resource gradients (livestock grazing) to assess the impact of changing abiotic and biotic settings on coexistence. Methods: The study was conducted in the Upper Bhagirathi basin, Western Himalaya, India. We analyzed around 4 years of camera trap monitoring data to understand seasonal spatial and temporal interactions of the snow leopard with common leopard and woolly wolf were assessed in the greater and trans-Himalayan habitats, respectively. We used two species occupancy models to assess spatial interactions, and circadian activity patterns were used to assess seasonal temporal overlap amongst carnivores. In addition, we examined scats to understand the commonalities in prey selection. Results: The result showed that although snow leopard and wolves depend on the same limited prey species and show high temporal overlap, habitat heterogeneity and differential habitat use facilitate co-occurrence between these two predators. Snow leopard and common leopard were spatially independent in the summer. Conversely, the common leopard negatively influences the space use of snow leopard in the winter. Limited prey resources (lack of livestock), restricted space (due to snow cover), and similar activity patterns in winter might result in strong competition, causing these species to avoid each other on a spatial scale. The study showed that in addition to species traits and size, ecological settings also play a significant role in deciding the intensity of competition between large carnivores. Climate change and habitat shifts are predicted to increase the spatial overlap between snow leopard and co-predators in the future. In such scenarios, wolves and snow leopards may coexist in a topographically diverse environment, provided sufficient prey are available. However, shifts in tree line might lead to severe competition between common leopards and snow leopards, which could be detrimental to the latter. Further monitoring of resource use across abiotic and biotic environments may improve our understanding of how changing ecological conditions can affect resource partitioning between snow leopards and predators. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1701 | ||
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| Author | Gao, Y., Wang, Y., Lee, A. T. L., Liu, Y., Luo, Y., Orrick, K., Alexander, J. S., Sangpo, J. T., Clark, S. G. | ||||
| Title | Contextualizing sociodemographic differences in Tibetan attitudes toward large carnivores | Type | Journal Article | ||
| Year | 2023 | Publication | Conservation Science and Practice | Abbreviated Journal | |
| Volume | Issue |
e13049 | Pages | 1-15 | |
| Keywords | ABC model, brown bear, gray wolf, snow leopard, Tibet | ||||
| Abstract | 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1736 | ||
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| Author | 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. | ||||
| Title | Reflecting on the role of human-felid conflict and local use in big cat trade | Type | Journal Article | ||
| Year | 2024 | Publication | Conservation Science and Practice | Abbreviated Journal | |
| Volume | 6 | Issue |
e13030 | Pages | 1-7 |
| Keywords | conflict, illegal trade, jaguar, leopard, lion, Panthera, snow leopard, tiger, wildlife crime | ||||
| Abstract | 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1745 | ||
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| Author | Karki, A., Panthi, S. | ||||
| Title | Factors affecting livestock depredation by snow leopards (Panthera uncia) in the Himalayan region of Nepal | Type | Journal Article | ||
| Year | 2021 | Publication | PeerJ | Abbreviated Journal | |
| Volume | 9 | Issue |
e11575 | Pages | 1-14 |
| Keywords | Conflict,Habitat,Himalaya,Livestockdepredation,Modeling,Snowleopard,Wildlife management | ||||
| Abstract | The snow leopard (Panthera uncia) found in central Asia is classified as vulnerable species by the International Union for Conservation of Nature (IUCN). Every year, large number of livestock are killed by snow leopards in Nepal, leading to economic loss to local communities and making human-snow leopard conflict a major threat to snow leopard conservation. We conducted formal and informal stakeholder’s interviews to gather information related to livestock depredation with the aim to map the attack sites by the snow leopard. These sites were further validated by district forest office staffs to assess sources of bias. Attack sites older than 3 years were removed from the survey. We found 109 attack sites and visited all the sites for geo location purpose (GPS points of all unique sites were taken). We maintained at least a 100 m distance between attack locations to ensure that each attack location was unique, which resulted in 86 unique locations. A total of 235 km2 was used to define livestock depredation risk zone during this study. Using Maximum Entropy (MaxEnt) modeling, we found that distance to livestock sheds, distance to paths, aspect, and distance to roads were major contributing factors to the snow leopard’s attacks. We identified 13.64 km2 as risk zone for livestock depredation from snow leopards in the study area. Furthermore, snow leopards preferred to attack livestock near livestock shelters, far from human paths and at moderate distance from motor roads. These identified attack zones should be managed both for snow leopard conservation and livestock protection in order to balance human livelihoods while protecting snow leopards and their habitats. | ||||
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| Notes | Approved | no | |||
| Call Number | Serial | 1640 | |||
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| Author | Tallian, A., Mattisson, J., Samelius, G., Odden, J., Mishra, C., Linnell, J. D. C., Lkhagvajav, P., Johansson, O. | ||||
| Title | Wild versus domestic prey: Variation in the kill-site behavior of two large felids | Type | Journal Article | ||
| Year | 2023 | Publication | Global Ecology and Conservation | Abbreviated Journal | |
| Volume | 47 | Issue |
e026750 | Pages | 1-13 |
| Keywords | Eurasian lynx, Handling time, Landscape, Livestock, Predation, Snow leopard | ||||
| Abstract | Livestock depredation is an important source of conflict for many terrestrial large carnivore species. Understanding the foraging behavior of large carnivores on domestic prey is therefore important for both mitigating conflict and conserving threatened carnivore populations. Handling time is an important, albeit often overlooked, component of predatory behavior, as it directly influences access to food biomass, which can affect predator foraging efficiency and subsequent kill rates. We used long-term data on snow leopards (Panthera uncia) in Mongolia (Asia) and Eurasian lynx (Lynx lynx) in Norway (Europe) to examine how large carnivore foraging patterns varied between domestic and wild prey, and how the different landscape characteristics affected those patterns. Our results suggest handling time was generally shorter for domestic compared to wild prey. For snow leopards, rugged terrain was linked to increased handling time for larger prey. For lynx, handling time increased with terrain ruggedness for domestic, but not wild, prey, and was greater in closed compared to open habitats. There were also other differences in snow leopard and lynx foraging behavior, e.g., snow leopards also stayed longer at, and remained closer to, their kill sites than lynx. Shorter handling time suggests that felids may have utilized domestic prey less effectively than wild prey, i.e., they spent less time consuming their prey. This could a) result in an energetic or fitness cost related to decreased felid foraging efficiency caused by the risk of anthropogenic disturbance, or b) exacerbate conflict if reduced handling time associated with easy prey results in increased livestock depredation. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1737 | ||
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| Author | Bohnett, E., Faryabi, S. P., Lewison, R., An, L., Bian, X., Rajabi, A. M., Jahed, N., Rooyesh, H., Mills, E., Ramos, S., Mesnildrey, N., Perez, C. M. S., Taylor, J., Terentyev, V., Ostrowski, S. | ||||
| Title | Human expertise combined with artificial intelligence improves performance of snow leopard camera trap studies | Type | Journal Article | ||
| Year | 2023 | Publication | Global Ecology & Conservation | Abbreviated Journal | |
| Volume | 41 | Issue |
e02350 | Pages | 1-13 |
| Keywords | Snow leopard, Artificial intelligence, Camera trap misclassification, individual ID, HotSpotter | ||||
| Abstract | Camera trapping is the most widely used data collection method for estimating snow leopard (Panthera uncia) abundance; however, the accuracy of this method is limited by human observer errors from misclassifying individuals in camera trap images. We evaluated the extent Whiskerbook (www.whiskerbook.org), an artificial intelligence (AI) software, could reduce this error rate and enhance the accuracy of capture-recapture abundance estimates. Using 439 images of 34 captive snow leopard individuals, classification was performed by five observers with prior experience in individual snow leopard ID (“experts”) and five observers with no such experience (“novices”). The “expert” observers classified 35 out of 34 snow leopard individuals, on average erroneously splitting one individual into two, thus resulting in a higher number than true individuals. The success rate of experts was 90 %, with less than a 3 % error in estimating the population size in capture-recapture modeling. However, the “novice” observers successfully matched 71 % of encounters, recognizing 25 out of 34 individuals, underestimating the population by 25 %. It was found that expert observers significantly outperformed novice observers, making statistically fewer errors (Mann Whitney U test P = 0.01) and finding the true number of individuals (P = 0.01). These differences were contrasted with a previous study by Johansson et al. 2020, using the same subset of 16 individuals from European zoos. With the help of AI and the Whiskerbook platform, “experts” were able to match 87 % of encounters and identify 15 out of 16 individuals, with modeled estimates of 16 ± 1 individuals. In contrast, “novices” were 63 % accurate in matching encounters and identified 12 out of 16 individuals, modeling 12 ± 1 individuals that underestimated the population size by 12 %. When comparing the performance of observers using AI and the Whiskerbook platform to observers performing the tasks manually, we found that observers using Whiskerbook made significantly fewer errors in splitting one individual into two (P = 0.04). However, there were also a significantly higher number of combination errors, where two individuals were combined into one (P = 0.01). Specifically, combination errors were found to be made by “novices” (P = 0.04). Although AI benefited both expert and novice observers, expert observers outperformed novices. Our results suggest that AI effectively reduced the misclassification of individual snow leopards in camera trap studies, improving abundance estimates. However, even with AI support, expert observers were needed to obtain the most accurate estimates. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1715 | ||
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| Author | Rode, J., Lambert, C., Marescot, L., Chaix, B., Beesau, J., Bastian, S., Kyrbashev, J., Cabanat, A.L. | ||||
| Title | Population monitoring of snow leopards using camera trapping in Naryn State Nature Reserve, Kyrgyzstan, between 2016 and 2019 | Type | Journal Article | ||
| Year | 2021 | Publication | Global Ecology and Conservation | Abbreviated Journal | |
| Volume | 31 | Issue |
e01850 | Pages | 1-6 |
| Keywords | Snow leopard, camera trapping, Citizen science, Kyrgyzstan | ||||
| Abstract | Four field seasons of snow leopard (Panthera uncia) camera trapping inside Naryn State Nature Reserve, Kyrgyzstan, performed thanks to citizen science expeditions, allowed detecting a minimal population of five adults, caught every year with an equilibrated sex ratio (1.5:1) and reproduction: five cubs or subadults have been identified from three litters of two different females. Crossings were observed one to three times a year, in front of most camera traps, and several times a month in front of one of them. Overlap of adults’ minimal territories was observed in front of several camera traps, regardless of their sex. Significant snow leopard presence was detected in the buffer area and at Ulan area which is situated at the reserve border. To avoid poaching on this apex predator and its preys, extending the more stringent protection measures of the core zone to both the Southern buffer area and land adjacent to Ulan is recommended. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1660 | ||
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| Author | Jackson, R. | ||||
| Title | Snow Leopards, Local People and Livestock Losses: Finding solutions using Appreciative Participatory Planning and Action (APPA) in the Markha Valley of Hemis National Park, Ladakh, October 6-26, 1999 | Type | Journal Article | ||
| Year | 1999 | Publication | Cat News | Abbreviated Journal | |
| Volume | 31 | Issue |
Autumn | Pages | 22-23 |
| Keywords | snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; local; local people; people; livestock; loss; using; participatory; planning; action; valley; Hemis; national; national park; National-park; park; Ladakh | ||||
| Abstract | Livestock depredation is emerging as a significant issue across the Himalaya, including the Hemis National Park (HNP) in Ladakh. Some consider that this protected area harbors the best snow leopard population in India, but local herders perceive the endangered snow leopard as a serious threat to their livelihood. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ 1018 | Serial | 463 | ||
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| Author | Ale, S., Thapa, K., Jackson, R., Smith, J.L.D. | ||||
| Title | The fate of snow leopards in and around Mt. Everest | Type | Journal Article | ||
| Year | 2010 | Publication | Cat News | Abbreviated Journal | |
| Volume | 53 | Issue |
Autumn | Pages | 19-21 |
| Keywords | Mt. Everest, Everest, Rolwaling, snow leopard, re-colonize, Nepal | ||||
| Abstract | Since the early 2000s snow leopards Panthera uncia have re-colonized the southern slopes of Mt. Everest after several decades of extirpation. Are they now beginning to disperse to the adjoining valleys that may serve as habitat corridors linking the Everest region to other protected areas in Nepal? We conducted a cursory survey in autumn 2009 in Rolwaling lying west of Mt. Everest and detected snow leopard presence. We conclude that in these remote valleys snow leopards must rely upon livestock given the low abundance of natural prey, Himalayan tahr. Livestock-rearing is unfortunately declining in the region. Rolwaling requires immediate conservation attention for the continued survival of the endangered snow leopard and other high altitude flora and fauna. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ | Serial | 1181 | ||
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| Author | Mallon, D. | ||||
| Title | An early record of snow leopard in Myanmar | Type | Journal Article | ||
| Year | 2003 | Publication | Cat News | Abbreviated Journal | |
| Volume | 39 | Issue |
Autumn | Pages | 24 |
| Keywords | snow leopard, Myanmar | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ | Serial | 1253 | ||
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