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Author Rashid, W., Shi, J., Rahim, I. U., Dong, S., Ahmad, L. pdf 
  Title Research trends and management options in human-snow leopard conflict Type Journal Article
  Year 2020 Publication Biological Conservation Abbreviated Journal  
  Volume 242 Issue 108413 Pages 1-10  
  Keywords Snow leopards, Systematic review, Compensation, Co-existence, Livestock, Human-wildlife conflict, Mitigation  
  Abstract 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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  Call Number SLN @ rakhee @ Serial 1716  
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Author Hacker, C., Atzeni, L., Munkhtsog, B., Munkhtsog, B., Galsandorj, N., Zhang, Y., Liu, Y., Buyanaa, C., Bayandonoi, G., Ochirjav, M., Farrington, J. D., Jevit, M., Zhang, Y., Wu, L. Cong, W., Li, D., Gavette, C., Jackson, R., Janecka, J. E. pdf 
  Title Genetic diversity and spatial structures of snow leopards (Panthera uncia) reveal proxies of connectivity across Mongolia and northwestern China Type Journal Article
  Year 2022 Publication Landscape Ecology Abbreviated Journal  
  Volume Issue Pages 1-19  
  Keywords Admixture · Central Asia · Connectivity · Habitat Modeling · Landscape Genetics · Noninvasive Genetics · MEM · Spatial Structures  
  Abstract Understanding landscape connectivity and population genetic parameters is imperative for threatened species management. However, such information is lacking for the snow leopard (Panthera uncia). This study sought to explore hierarchical snow leopard gene flow patterns and drivers of genetic structure in Mongolia and China. A total of 97 individuals from across Mongolia and from the north-eastern edge of the Qinghai-Tibetan Plateau in Gansu Province to the middle of Qinghai Province in China were genotyped across 24 microsatellite loci. Distance-based frameworks were used to determine a landscape scenario best explaining observed genetic structure. Spatial and non-spatial methods were used to investigate fine-scale autocorrelation and similarity patterns as well as genetic structure and admixture. A genetic macro-division between populations in China and Mongolia was observed, suggesting that the Gobi Desert is a substantial barrier to gene flow. However, admixture and support for a resistance-based mode of isolation suggests connective routes that could facilitate movement. Populations in Mongolia had greater connectivity, indicative of more continuous habitat. Drivers of genetic structure in China were difficult to discern, and fine-scale sampling is needed. This study elucidates snow leopard landscape connectivity and helps to prioritize conservation areas. Although contact zones may have existed and occasional crossings can occur, establishing corridors to connect these areas should not be a priority. Focus should be placed on maintaining the relatively high connectivity for snow leopard populations within Mongolia and increasing research efforts in China.  
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  Call Number SLN @ rakhee @ Serial 1717  
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Author Chimed, O., Lkhagvasuren, D., Alexander, J. S., Barclay, D., Bayasgalan, N., Lkhagvajav, P., Nygren, E., Robinson, S. L., Samelius, G. pdf 
  Title Delivery of educational material increased awareness of the elusive Pallas’s cat in Southern Mongolia Type Journal Article
  Year 2023 Publication Applied Environmental Education & Comunication Abbreviated Journal  
  Volume Issue Pages 1-13  
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  Abstract Public engagement and awareness programs are important components of many conservation programs today as such engagements are often critical for successful conservation. In this study, we examined if delivery of educational material increased awareness of the Pallas’s cat and its environment in a southern Mongolia herder community. We found that knowledge was greater and attitudes toward the Pallas’s cat and wildlife in general were more positive one year after the delivery of the educational material. This study thus suggests that educational material can be effective at increasing awareness of small and elusive species such as the Pallas’s cat.  
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  Call Number SLN @ rakhee @ Serial 1718  
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Author Islam, M., Sahana, M., Areendran, G., Jamir, C., Raj, K., Sajjad, H. pdf 
  Title Prediction of potential habitat suitability of snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) and niche overlap in the parts of western Himalayan region Type Journal Article
  Year 2023 Publication Geo: Geography and Environment Abbreviated Journal  
  Volume 10 Issue e00121 Pages 1-15  
  Keywords bioclimatic variables, habitat suitability, MaxEnt model, niche overlap, western Himalayan region  
  Abstract The snow leopard (Panthera uncia) and blue sheep (Pseudois nayaur) are the inhabitants of remote areas at higher altitudes with extreme geographic and climatic conditions. The habitats of these least-studied species are crucial for sustaining the Himalayan ecosystem. We employed the Maximum Entropy (MaxEnt) species distribution model to predict the potential habitat suitability of snow leopards and blue sheep and extracted common overlapped niches. For this, we utilised presence location, bio-climatic and environmental variables, and correlation analysis was applied to reduce the negative impact of multicollinearity. A total of 134 presence locations of snow leopards and 64 for blue sheep were selected from the Global Biodiversity Information Facility (GBIF). The annual mean temperature (Bio1) was found to be the most useful and highly influential factor to predict the potential habitat suitability of snow leopards. Annual mean temperature, annual precipitation and isothermality were the major influencing factors for blue sheep habitat suitability. Highly influential bio-climatic, topographic and environmental variables were integrated to construct the model for predicting habitat suitability. The area under the curve (AUC) values for snow leopard (0.87) and blue sheep (0.82) showed that the models are under good representation. Of the total area investigated, 47% was suitable for the blue sheep and 38% for the snow leopards. Spatial habitat assessment revealed that nearly 11% area from the predicted suitable habitat class of both species was spatially matched (overlapped), 48.6% area was unsuitable under niche overlap and 40.5% area was spatially mismatched niche. The presence of snow leopards and blue sheep in some highly suitable areas was not observed, yet such areas have the potential to sustain these elusive species. The other geographical regions interested in exploring habitat suitability may find the methodological framework adopted in this study useful for formulating an effective conservation policy and management strategy.  
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  Call Number SLN @ rakhee @ Serial 1719  
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Author Atzeni, L., Wang, J., Riordan, P., Shi, K., Cushman, S. A. pdf 
  Title Landscape resistance to gene flow in a snow leopard population from Qilianshan National Park, Gansu, China Type Journal Article
  Year 2023 Publication Landscape Ecology Abbreviated Journal  
  Volume Issue Pages  
  Keywords Landscape genetics · MLPE · Gene flow · Genetic distance · Isolation by distance · Isolation by resistance · Landscape resistance · Snow leopard · Principal component analysis  
  Abstract 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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  Call Number SLN @ rakhee @ Serial 1720  
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Author Allen, M. L., Rovero, F., Oberosler, V., Augugliaro, C., Krofel, M. pdf 
  Title Effects of snow leopards (Panthera uncia) on olfactory communication of Pallas’s cats (Otocolobus manul) in the Altai Mountains, Mongolia Type Journal Article
  Year 2023 Publication Behaviour Abbreviated Journal  
  Volume Issue Pages 1-9  
  Keywords behaviour, camera trap, Mongolia, Otocolobus manul, Panthera uncia, scent marking.  
  Abstract Olfactory communication is important for many solitary carnivores to delineate territories and communicate with potential mates and competitors. Pallas’s cats (Otocolobus manul) are small felids with little published research on their ecology and behaviour, including if they avoid or change behaviours due to dominant carnivores. We studied their olfactory communication and visitation at scent-marking sites using camera traps in two study areas in Mongolia. We documented four types of olfactory communication behaviours, and olfaction (sniffing) was the most frequent. Pallas’s cats used olfactory communication most frequently at sites that were not visited by snow leopards (Panthera uncia) and when they used communal scent-marking sites, they were more likely to use olfactory communication when a longer time had elapsed since the last visit by a snow leopard. This suggests that Pallas’s cats may reduce advertising their presence in response to occurrence of snow leopards, possibly to limit predation risk.  
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  Call Number SLN @ rakhee @ Serial 1721  
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Author Golla, T. R., Tensen, L., Vipin, Kumar, K., Kumar, S., Gaur, A. pdf 
  Title Neutral and adaptive genetic variation in Indian snow leopards, Panthera uncia Type Journal Article
  Year 2023 Publication Current Science Abbreviated Journal  
  Volume 125 Issue 2 Pages 204-209  
  Keywords Adaptive evolution, balancing selection, cap- tive breeding, genetic diversity, major histocompatibility complex.  
  Abstract In this study, we reveal patterns of genetic variation in snow leopards (Panthera uncia) by combining neutral (mtDNA, microsatellites) and adaptive (MHC II-DRB) genes. We collected 56 faecal samples from three locations in India. We observed moderate levels of microsatellite diversity (N = 30; A = 5.6; HO = 0.559). Nine unique MHC II-DRB sequences were identified in four snow leopard samples, of which 8 were novel. We found low levels of polymorphism in MHC class II-DRB exon, which was higher in captive (VA = 9.4%) compared to wild individuals (VA = 7.8%), likely as a result of a population bottleneck.  
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  Call Number SLN @ rakhee @ Serial 1722  
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Author Bohnett, E., Holmberg, J., Faryabi, S. P., An, L., Ahmad, B., Rashid, W., Ostrowski, S. pdf 
  Title Comparison of two individual identification algorithms for snow leopards (Panthera uncia) after automated detection Type Journal Article
  Year 2023 Publication Ecological Informatics Abbreviated Journal  
  Volume 77 Issue 102214 Pages 1-14  
  Keywords Background subtraction, Deep learning, Hotspotter, Individual identification, PIE v2, Snow leopards  
  Abstract 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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  Call Number SLN @ rakhee @ Serial 1723  
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Author Kichloo, M. A., Sharma, K., Sharma, N. pdf 
  Title Climate casualties or human disturbance? Shrinking distribution of the three large carnivores in the Greater Himalaya Type Journal Article
  Year 2023 Publication Springer – Climatic Change Abbreviated Journal  
  Volume 176 Issue 118 Pages 1-17  
  Keywords Snow leopard · Common leopard · Asiatic black bear · Climate change · Multi- season occupancy analysis · Local ecological knowledge · Imperfect detection  
  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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  Call Number SLN @ rakhee @ Serial 1724  
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Author Zhang, C., Ma, T., Ma, D. pdf 
  Title Status of the snow leopard Panthera uncia in the Qilian Mountains, Gansu Province, China Type Journal Article
  Year 2023 Publication Oryx Abbreviated Journal  
  Volume Issue Pages 1-6  
  Keywords Camera trapping, China, density, Panthera uncia, Qilian Mountains, snow leopard, spatially explicit capture–recapture  
  Abstract 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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  Call Number SLN @ rakhee @ Serial 1725  
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