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| Author | Christiansen, P. | ||||
| Title | Canine morphology in the larger Felidae: implications for feeding ecology | Type | Journal Article | ||
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2007 | Publication | Biological Journal of the Linnean Society | Abbreviated Journal | |
| Volume | 91 | Issue | Pages | 573-592 | |
| Keywords | bite force, canine, clouded leopard, feeding behaviour, felid, Homotherium serum, leopard, Megantereoncultridens, morphology, Neofelis nebulosa, paleontology, Panthera pardus, Panthera tigris, puma, Puma concolor, Smilodon fatalis, Smilodon populator, snow leopard, Uncia uncia | ||||
| Abstract | Canine morphology is analysed at seven intervals along the crown in both anteroposterior and lateromedial perspective in seven species of large felids. The puma and the snow leopard have stout, rather conical canines, whereas those of lions, jaguars, and tigers bear substantial resemblance to each other, reflecting their phylogenetic relationships, and are less conical and large. The canines of the leopard are intermediate in morphology between those of the other species, probably reflecting its more generalized diet. The clouded leopard has very large and blade-like canines, which are different from the other analysed species. Canine bending strengths to estimated bite forces appear to differ less among the species than morphology,indicating that the evolution of canines has been constricted with respect to their strength in failure, probably owing to their being equally important for species fitness. However, the clouded leopard again stands out, having a high estimated bite force and rather weak canines in bending about the anteroposterior as well as lateromedial planes compared to the other species. Canine morphology to some extent reflects differences in killing mode, but also appears to be related to the phylogeny. The marked divergence of the clouded leopard is presently not understood. |
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| Language | English | Summary Language | Original Title | ||
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ | Serial | 1115 | ||
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| Author | Shrestha, B. | ||||
| Title | Prey Abundance and Prey Selection by Snow Leopard (uncia uncia) in the Sagarmatha (Mt. Everest) National Park, Nepal | Type | Report | ||
| Year |
2008 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 1-35 | ||
| Keywords | project; snow; snow leopard; snow-leopard; leopard; network; conservation; program; prey; abundance; selection; uncia; Uncia uncia; Uncia-uncia; Sagarmatha; national; national park; National-park; park; Nepal; resource; predators; predator; ecological; impact; region; community; structure; number; research; population; status; density; densities; wild; prey species; prey-species; species; Himalayan; tahr; musk; musk-deer; deer; game; birds; diet; livestock; livestock depredation; livestock-depredation; depredation; awareness; co-existence; ungulates; ungulate; Human; using; areas; area; monitoring; transect; Hair; identification; scat; attack; patterns; sighting; 1760; populations; birth; Male; Female; young; domestic; domestic livestock; 120; scats; yak; Dog; pika; wildlife; Seasons; winter; horse; study; cover; land; predation; Pressure; development; strategy; threatened; threatened species; threatened-species; conflicts; conflict; people; control; husbandry; compensation; reintroduction; blue; blue sheep; blue-sheep; sheep; free ranging | ||||
| Abstract | Predators have significant ecological impacts on the region's prey-predator dynamic and community structure through their numbers and prey selection. During April-December 2007, I conducted a research in Sagarmatha (Mt. Everest) National Park (SNP) to: i) explore population status and density of wild prey species; Himalayan tahr, musk deer and game birds, ii) investigate diet of the snow leopard and to estimate prey selection by snow leopard, iii) identify the pattern of livestock depredation by snow leopard, its mitigation, and raise awareness through outreach program, and identify the challenge and opportunities on conservation snow leopard and its co-existence with wild ungulates and the human using the areas of the SNP. Methodology of my research included vantage points and regular monitoring from trails for Himalayan tahr, fixed line transect with belt drive method for musk deer and game birds, and microscopic hair identification in snow leopard's scat to investigate diet of snow leopard and to estimate prey selection. Based on available evidence and witness accounts of snow leopard attack on livestock, the patterns of livestock depredation were assessed. I obtained 201 sighting of Himalayan tahr (1760 individuals) and estimated 293 populations in post-parturient period (April-June), 394 in birth period (July -October) and 195 November- December) in rutting period. In average, ratio of male to females was ranged from 0.34 to 0.79 and ratio of kid to female was 0.21-0.35, and yearling to kid was 0.21- 0.47. The encounter rate for musk deer was 1.06 and density was 17.28/km2. For Himalayan monal, the encounter rate was 2.14 and density was 35.66/km2. I obtained 12 sighting of snow cock comprising 69 individual in Gokyo. The ratio of male to female was 1.18 and young to female was 2.18. Twelve species (8 species of wild and 4 species of domestic livestock) were identified in the 120 snow leopard scats examined. In average, snow leopard predated most frequently on Himalayan tahr and it was detected in 26.5% relative frequency of occurrence while occurred in 36.66% of all scats, then it was followed by musk deer (19.87%), yak (12.65%), cow (12.04%), dog (10.24%), unidentified mammal (3.61%), woolly hare (3.01%), rat sp. (2.4%), unidentified bird sp. (1.8%), pika (1.2%), and shrew (0.6%) (Table 5.8 ). Wild species were present in 58.99% of scats whereas domestic livestock with dog were present in 40.95% of scats. Snow leopard predated most frequently on wildlife species in three seasons; spring (61.62%), autumn (61.11%) and winter (65.51%), and most frequently on domestic species including dog in summer season (54.54%). In term of relative biomass consumed, in average, Himalayan tahr was the most important prey species contributed 26.27% of the biomass consumed. This was followed by yak (22.13%), cow (21.06%), musk deer (11.32%), horse (10.53%), wooly hare (1.09%), rat (0.29%), pika (0.14%) and shrew (0.07%). In average, domestic livestock including dog were contributed more biomass in the diet of snow leopard comprising 60.8% of the biomass consumed whilst the wild life species comprising 39.19%. The annual prey consumption by a snow leopard (based on 2 kg/day) was estimated to be three Himalayan tahr, seven musk deer, five wooly hare, four rat sp., two pika, one shrew and four livestock. In the present study, the highest frequency of attack was found during April to June and lowest to July to November. The day of rainy and cloudy was the more vulnerable to livestock depredation. Snow leopard attacks occurred were the highest at near escape cover such as shrub land and cliff. Both predation pressure on tahr and that on livestock suggest that the development of effective conservation strategies for two threatened species (predator and prey) depends on resolving conflicts between people and predators. Recently, direct control of free – ranging livestock, good husbandry and compensation to shepherds may reduce snow leopard – human conflict. In long term solution, the reintroduction of blue sheep at the higher altitudes could also “buffer” predation on livestock. | ||||
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| Notes | Project funded by Snow Leopard Network's Snow Leopard Conservation Grant Program. Forum of Natural Resource Managers, Nepal. | Approved | no | ||
| Call Number | SLN @ rana @ 1076 | Serial | 887 | ||
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| Author | McCarthy, K.; Fuller, T.; Ming, M.; McCarthy, T.; Waits, L.; Jumabaev, K. | ||||
| Title | Assessing Estimators of Snow Leopard Abundance | Type | Miscellaneous | ||
| Year |
2008 | Publication | Journal of Widlife Management | Abbreviated Journal | |
| Volume | 72 | Issue | 8 | Pages | 1826-1833 |
| Keywords | abundance; camera,capture-recapture,density,index,predator:prey ratios,techniques,Tien Shan,Uncia; leopard; SaryChat; sign surveys; Slims; snow; snow-leopard; snow leopard; Tomur | ||||
| Abstract | The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates (photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ 881 | Serial | 653 | ||
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| Author | Aryal, A. | ||||
| Title | Final Report On Demography and Causes of Mortality of Blue Sheep (Pseudois nayaur) in Dhorpatan Hunting Reserve in Nepal | Type | Report | ||
| Year |
2009 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 1-53 | ||
| Keywords | Report; mortality; blue; blue sheep; blue-sheep; sheep; Pseudois; pseudois nayaur; Pseudois-nayaur; nayaur; Dhorpatan; hunting; reserve; Nepal; biodiversity; research; training; snow; snow leopard; snow-leopard; leopard; conservation; program; population; Population-Density; density; densities; change; Sex; study; area; High; poaching; Pressure; reducing; number; predators; predator; poison; wolf; wolves; canis; Canis-lupus; lupus; wild; wild boar; prey; prey species; prey-species; species; scats; scat; value; fox; cover; deer; diet; leopards; pika; snow leopards; snow-leopards; soil; Relationship | ||||
| Abstract | A total of 206 individual Blue sheep Pseudois nayaur were estimated in Barse and Phagune blocks of Dhorpatan Hunting Reserve (DHR) and population density was 1.8 Blue sheep/sq.km. There was not significant change in population density from last 4 decades. An average 7 animals/herd (SD-5.5) were classified from twenty nine herds, sheep per herds varying from 1 to 37. Blue sheep has classified into sex ratio on an average 75 male/100females was recorded in study area. The sex ratio was slightly lower but not significantly different from the previous study. Population of Blue sheep was seen stable or not decrease even there was high poaching pressure, the reason may be reducing the number of predators by poison and poaching which has supported to increase blue sheep population. Because of reducing the predators Wolf Canis lupus, Wild boar population was increasing drastically in high rate and we can observed wild boar above the tree line of DHR. The frequency of occurrence of different prey species in scats of different predators shows that, excluding zero values, the frequencies of different prey species were no significantly different (ö2= 10.3, df = 49, p > 0.05). Most of the scats samples (74%) of Snow leopard, Wolf, Common Leopard, Red fox's cover one prey species while two and three species were present in 18% and 8%, respectively. Barking deer Muntiacus muntjak was the most frequent (18%) of total diet composition of common leopards. Pika Ochotona roylei was the most frequent (28%), and Blue sheep was in second position for diet of snow leopards which cover 21% of total diet composition. 13% of diet covered non-food item such as soil, stones, and vegetable. Pika was most frequent on Wolf and Red fox diet which covered 32% and 30% respectively. There was good positive relationship between the scat density and Blue sheep consumption rate, increasing the scat density, increasing the Blue sheep consumption rate. Blue sheep preference by different predators such as Snow leopard, Common leopard, Wolf and Red fox were 20%, 6%, 13% and 2% of total prey species respectively. |
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| Notes | The Biodiversity Research and Training Forum (BRTF) Nepal. Email: savefauna@yahoo.com Submitted to Snow Leopard Conservation Grants Program, USA. | Approved | no | ||
| Call Number | SLN @ rana @ 1064 | Serial | 104 | ||
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| Author | Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. | ||||
| Title | Face Value: Towards Robust Estimates of Snow Leopard Densities | Type | Journal Article | ||
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2015 | Publication | Plos One | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | Densities, Snow Leopard, Camera traps, Spatial Capture Recapture models | ||||
| Abstract | When densities of large carnivores fall below certain thresholds, dramatic ecological effects can follow, leading to oversimplified ecosystems. Understanding the population status of such species remains a major challenge as they occur in low densities and their ranges are wide. This paper describes the use of non-invasive data collection techniques combined with recent spatial capture-recapture methods to estimate the density of snow leopards Panthera uncia. It also investigates the influence of environmental and human activity indicators on their spatial distribution. A total of 60 camera traps were systematically set up during a three-month period over a 480 km2 study area in Qilianshan National Nature Reserve, Gansu Province, China. We recorded 76 separate snow leopard captures over 2,906 trapdays, representing an average capture success of 2.62 captures/100 trap-days. We identified a total number of 20 unique individuals from photographs and estimated snow leopard density at 3.31 (SE = 1.01) individuals per 100 km2. Results of our simulation exercise indicate that our estimates from the Spatial Capture Recapture models were not optimal to respect to bias and precision (RMSEs for density parameters less or equal to 0.87). Our results underline the critical challenge in achieving sufficient sample sizes of snow leopard captures and recaptures. Possible performance improvements are discussed, principally by optimising effective camera capture and photographic data quality. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1431 | ||
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| Author | Alexander, S., A., Zhang, C., Shi, K., Riordan, P. | ||||
| Title | A granular view of a snow leopard population using camera traps in Central China | Type | Journal Article | ||
| Year |
2016 | Publication | Biological Conservation | Abbreviated Journal | |
| Volume | Issue | 197 | Pages | 27-31 | |
| Keywords | Snow leopard Camera trap China Density Monitoring | ||||
| Abstract | Successful conservation of the endangered snow leopard (Panthera uncia) relies on the effectiveness of monitoring programmes. We present the results of a 19-month camera trap survey effort, conducted as part of a longterm study of the snow leopard population in Qilianshan National Nature Reserve of Gansu Province, China. Weassessed the minimumnumber of individual snowleopards and population density across different sampling periods using spatial capture–recapture methods. Between 2013–2014, we deployed 34 camera traps across an area of 375 km2, investing a total of 7133 trap-days effort. Weidentified a total number of 17–19 unique individuals from photographs (10–12 adults, five sub-adults and two cubs). The total number of individuals identified and estimated density varied across sampling periods, between 10–15 individuals and 1.46–3.29 snow leopards per 100 km2 respectively. We demonstrate that snow leopard surveys of limited scale and conducted over short sampling periods only present partial views of a dynamic and transient system.We also underline the challenges in achieving a sufficient sample size of captures and recaptures to assess trends in snow leopard population size and/or density for policy and conservation decision-making |
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| Call Number | SLN @ rakhee @ | Serial | 1436 | ||
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| Author | Chetri, M, Odden, M., Sharma, K., Flagstad, O., Wegge, P | ||||
| Title | Estimating snow leopard density using fecal DNA in a large landscape in north-central Nepal | Type | Journal Article | ||
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2019 | Publication | Global Ecology and Conservation | Abbreviated Journal | |
| Volume | Issue | 17 | Pages | 1-8 | |
| Keywords | Panthera uncia, Density, Annapurna-Manaslu landscape, Noninvasive, Spatial scale | ||||
| Abstract | Although abundance estimates have a strong bearing on the conservation status of a species, less than 2% of the global snow leopard distribution range has been sampled systematically, mostly in small survey areas. In order to estimate snow leopard density across a large landscape, we collected 347 putative snow leopard scats from 246 transects (490 km) in twenty-six 5 5km sized sampling grid cells within 4393 km2 in Annapurna- Manaslu, Nepal. From 182 confirmed snow leopard scats, 81 were identified as belonging to 34 individuals; the remaining were discarded for their low (<0.625) quality index. Using maximum likelihood based spatial capture recapture analysis, we developed candidate model sets to test effects of various covariates on density and detection of scats on transects. The best models described the variation in density as a quadratic function of elevation and detection as a linear function of topography. The average density estimate of snow leopards for the area of interest within Nepal was 0.95 (SE 0.19) animals per 100 km2 (0.66e1.41 95% CL) with predicted densities varying between 0.1 and 1.9 in different parts, thus highlighting the heterogeneity in densities as a function of habitat types. Our density estimate was low compared to previous estimates from smaller study areas. Probably, estimates from some of these areas were inflated due to locally high abundances in overlap zones (hotspots) of neighboring individuals, whose territories probably range far beyond study area borders. Our results highlight the need for a large-scale approach in snow leopard monitoring, and we recommend that methodological problems related to spatial scale are taken into account in future snow leopard research. |
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| Call Number | SLN @ rakhee @ | Serial | 1478 | ||
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| Author | Sharma, R. K., Sharma, K., Borchers, D., Bhatnagar, Y. V., Suryawanshi, K. S., Mishra, C. | ||||
| Title | Spatial variation in population-density, movement and detectability of snow leopards in 2 a multiple use landscape in Spiti Valley, Trans-Himalaya | Type | Journal Article | ||
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2020 | Publication | bioRxiv | Abbreviated Journal | |
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| Keywords | Co-existence; land sharing; population-density; spatial capture recapture; Pseudois nayaur Capra sibirica; ungulates; livestock. | ||||
| Abstract | The endangered snow leopard Panthera uncia occurs in human use landscapes in the mountains of South and Central Asia. Conservationists generally agree that snow leopards must be conserved through a land-sharing approach, rather than land-sparing in the form of strictly protected areas. Effective conservation through land-sharing requires a good understanding of how snow leopards respond to human use of the landscape. Snow leopard density is expected to show spatial variation within a landscape because of variation in the intensity of human use and the quality of habitat. However, snow leopards have been difficult to enumerate and monitor. Variation in the density of snow leopards remains undocumented, and the impact of human use on their populations is poorly understood. We examined spatial variation in snow leopard density in Spiti Valley, an important snow leopard landscape in India, via spatially explicit capture recapture analysis of camera trap data. We camera trapped an area encompassing a minimum convex polygon of 953 km . We estimated an overall density of 0.49 (95% CI: 0.39-0.73) adult snow leopards per 100 km . Using AIC, our best model showed the density of snow leopards to depend on wild prey density, movement about activity centres to depend on altitude, and the expected number of encounters at the activity centre to depend on topography. Models that also used livestock biomass as a density covariate ranked second, but the effect of livestock was weak. Our results highlight the importance of maintaining high density pockets of wild prey populations in multiple use landscapes to enhance snow leopard conservation. | ||||
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| Call Number | Serial | 1620 | |||
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| Author | Zhang, L., Lian, X., Yang, X | ||||
| Title | Population density of snow leopards (Panthera Uncia) in the Yage Valley Region of the Sanjiangyuan National Park: Conservation Implications and future directions | Type | Journal Article | ||
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2020 | Publication | Artic, Antartic and Alpine Research | Abbreviated Journal | |
| Volume | 52 | Issue | 1 | Pages | 541-550 |
| Keywords | Snow leopard; population density; camera trapping; Tibetan Plateau; alpine ecosystem | ||||
| Abstract | Population-based studies on snow leopard (Panthera uncia) are of theoretical and practical sig- nificance for the conservation of alpine ecosystems, though geographic remoteness and isolation hinder surveys in many promising regions. The Sanjiangyuan National Park on the Tibetan Plateau is acknowledged as a main snow leopard habitat, but most of the region remains unexplored and unknown. We adopted a combined approach of route survey and camera trapping survey to explore the population density of snow leopard in the Yage Valley region of the Sanjiangyuan National Park. Results indicated that (1) large populations of blue sheep contributed to the major food supply for snow leopards, along with diverse prey species as dietary supplementations, and (2) a population density of four to six snow leopards per 100 km2 on the north bank was estimated, and nine to fourteen individuals within the valley core areas were identified. We also argue that under the potential impacts of hydropower dams, this valley ecosystem should be symbolized as a conservation hotspot and therefore merits prioritized conservation. We recommend further surveys combined with novel methods/techniques and advocate a sustainable ecotourism model for the first V-shaped valley along the Yangtze mainstream. | ||||
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| Call Number | Serial | 1619 | |||
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| Author | Thapa, K., Jackson, R., Gurung, L, Acharya, H. B., Gurung, R. K., | ||||
| Title | Applying the double observer methodology for assessing blue sheep population size in Nar Phu valley, Annapurna Conservation Area, Nepal | Type | Journal Article | ||
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2021 | Publication | Wildlife Biology | Abbreviated Journal | |
| Volume | Issue | Pages | 1-11 | ||
| Keywords | blue sheep, density estimation, double observer counts, Nepal, Panthera uncia, prey abundance, Pseudois nayaur, snow leopard, viewshed mapping | ||||
| Abstract | This study was undertaken in spring, 2019 to assess the applicability of the double-observer survey method for estimating blue sheep Pseudois nayaur abundance in Nar-Phu valley of Manang District located in Annapurna Conservation Area of northern Nepal. Since counting large mammals in rugged mountain habitat poses a special challenge, we tested the efficacy of the double observer method for generating robust population estimates for this important protected area. The overall detection probability for observers (O1 and O2) was 0.94 and 0.91 for a total of 106 groups comprised of 2059 individual blue sheep. We estimated the area’s blue sheep population at 2070 (SE ± 168.77; 95% CI 2059–2405) for the 246.2 km2 of sampled habitat. We determined blue sheep to be widely distributed within the study area with a mean density of 8.4 individuals per km2 based on a total study area of 246.2 km2. We discuss demographic population structure and identify limitations when applying the double observer approach, along with recommending viewshed mapping for ensuring more robust density estimates of mountain-dwelling ungulates like blue sheep or ibex that inhabit extremely heterogeneous terrain which strongly influences sighting distances and overall animal detection rates. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1666 | ||
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