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| Author | Shrestha, B., Aihartza, J., Kindlmann | ||||
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Diet and prey selection by snow leopards in the Nepalese Himalayas | Type | Journal Article | ||
| Year | 2018 | Publication | PLoS ONE | Abbreviated Journal | |
| Volume | Issue | Pages | 1-18 | ||
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| Abstract | Visual attractiveness and rarity often results in large carnivores being adopted as flagship species for stimulating conservation awareness. Their hunting behaviour and prey selection can affect the population dynamics of their prey, which in turn affects the population dynamics of these large carnivores. Therefore, our understanding of their trophic ecology and foraging strategies is important for predicting their population dynamics and consequently for developing effective conservation programs. Here we concentrate on an endangered species of carnivores, the snow leopard, in the Himalayas. Most previous studies on snow leopard diet lack information on prey availability and/or did not genetically check, whether the identification of snow leopard scats is correct, as their scats are similar to those of other carnivores. We studied the prey of snow leopard in three Himalayan regions in Nepal (Sagarmatha National Park (SNP), Lower Mustang (LM) and Upper Manang (UM) in the Annapurna Conservation Area, during winter and summer in 2014�2016. We collected 268 scats along 139.3 km linear transects, of which 122 were genetically confirmed to belong to snow leopard. Their diet was identified by comparing hairs in scats with our reference collection of the hairs of potential prey. We determined prey availability using 32�48 camera-traps and 4,567 trap nights. In the SNP, the most frequent prey in snow leopard faeces was the Himalayan tahr in both winter and summer. In LM and UM, its main prey was blue sheep in winter, but yak and goat in summer. In terms of relative biomass consumed, yak was the main prey everywhere in both seasons. Snow leopard preferred large prey and avoided small prey in summer but not in winter, with regional differences. It preferred domestic to wild prey only in winter, and in SNP. Unlike most other studies carried out in the same area, our study uses genetic methods for identifying the source of the scat. Studies solely based on visual identification of samples may be strongly biased. Diet studies based on frequency of occurrence of prey tend to overestimate the importance of small prey, which may be consumed more often, but contribute less energy than large prey. However, even assessments based on prey biomass are unlikely to be accurate as we do not know whether the actual size of the prey consumed corresponds to the average size used to calculate the biomass eaten. For example, large adults may be too difficult to catch and therefore mostly young animals are consumed, whose weight is much lower. We show that snow leopard consumes a diverse range of prey, which varies both regionally and seasonally. We conclude that in order to conserve snow leopards it is also necessary to conserve its main wild species of prey, which will reduce the incidence of losses of livestock. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1476 | ||
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| Author | Khatoon, R., Hussain, I., Anwar, M., Nawaz, M. A. | ||||
| Title |
Diet selection of snow leopard (Panthera uncia) in Chitral, Pakistan | Type | Journal Article | ||
| Year | 2017 | Publication | Turkish Journal of Zoology | Abbreviated Journal | |
| Volume | Issue | 14 | Pages | 914-923 | |
| Keywords | Snow leopard, conservation, seasonal variation, diet composition, Chitral, Pakistan | ||||
| Abstract | Snow leopard (Panthera uncia) is an elusive endangered carnivore found in remote mountain regions of Central Asia, with sparse distribution in northern Pakistan, including Chitral and Baltistan. The present study determined the food habits of snow leopard, including preferred prey species and seasonal variation in diet. Fifty-six scat samples were collected and analyzed to determine the diet composition in two different seasons, i.e. summer and winter. Hair characteristics such as cuticular scale patterns and medullary structure were used to identify the prey. This evidence was further substantiated from the remains of bones, claws, feathers, and other undigested remains found in the scats. A total of 17 prey species were identified; 5 of them were large mammals, 6 were mesomammals, and the remaining 6 were small mammals. The occurrence of wild ungulates (10.4%) in the diet was low, while livestock constituted a substantial part (26.4%) of the diet, which was higher in summer and lower in winter. Mesomammals altogether comprised 33.4% of the diet, with palm civet (Paguma larvata) as a dominant (16.8%) species, followed by golden marmot (Marmota caudate) (8.8%), which was higher in winter. There was a significant difference in seasonal variation in domestic livestock and small mammals. The livestock contribution of 26.4% observed in the present study indicates a significant dependence of the population on livestock and suggests that the study area is expected to be a high-conflict area for snow leopards. The results of the current study would help improve the conservation efforts for snow leopards, contributing to conflict resolution and effective management of this endangered cat. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1459 | ||
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| Author | Sharma, R. K., Bhatnagar, Y. V., Mishra, C. | ||||
| Title |
Does livestock benefit or harm snow leopards? | Type | Journal Article | ||
| Year | 201 | Publication | Biological Conservatio | Abbreviated Journal | |
| Volume | Issue | 190 | Pages | 8-13 | |
| Keywords | Panthera uncia, Trans-Himalaya, Pastoralism, Large carnivores, Livestock grazing, Co-existence | ||||
| Abstract | Large carnivores commonly prey on livestock when their ranges overlap. Pastoralism is the dominant land use type across the distributional range of the endangered snow leopard Panthera uncia. Snow leop- ards are often killed in retaliation against livestock depredation. Whether livestock, by forming an alter- native prey, could potentially benefit snow leopards, or, whether livestock use of an area is detrimental to snow leopards is poorly understood. We examined snow leopard habitat use in a multiple use landscape that was comprised of sites varying in livestock abundance, wild prey abundance and human population size. We photographically sampled ten sites (average size 70 sq. km) using ten camera traps in each site, deployed for a period of 60 days. Snow leopard habitat use was computed as a Relative Use Index based on the total independent photographic captures and the number of snow leopard individuals captured at each site. We quantified livestock abundance, wild prey abundance, human population size and terrain ruggedness in each of the sites. Key variables influencing snow leopard habitat use were identified using Information Theory based model selection approach. Snow leopard habitat use was best explained by wild prey density, and showed a positive linear relationship with the abundance of wild ungulates. We found a hump-shaped relationship between snow leopard habitat use and livestock stocking density, with an initial increase in habitat use followed by a decline beyond a threshold of livestock density. Our results suggest that in the absence of direct persecution of snow leopards, livestock grazing and snow leopard habitat use are potentially compatible up to a certain threshold of livestock density, beyond which habitat use declines, presumably due to depressed wild ungulate abundance and associated anthropogenic disturbance. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1426 | ||
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| Author | Sivolobov, R. | ||||
| Title |
ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR | Type | Journal Article | ||
| Year | 2017 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 225-233 | ||
| Keywords | endangered species, Beringian snow cat, Snow leopard, Irbis, Amur tiger, Irkuyem-bear, camera-trap, Koryakia, Chukotka | ||||
| Abstract | After 30 years of searching for the mysterious Beringian snow cat in vast space of Koryakia and Chukotka one of the five cameras recorded finally this beast at night in September 2014. This is not so much a sensation as a real scientific discovery, saying that the hearts of the snow leopard population resettlement are not in 5000 km from the main range boundaries, but much closer. Where? � will show further studies. In addition to the snow leopard in the North-Eastern Asia, it found two more endangered large mammal species: the Amur tiger and the relict of the Ice Age � the Irkuyem-bear. Author has given these animals his life and his article devoted to this topic. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1456 | ||
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| Author | Gurung, Ghana S. | ||||
| Title |
Enhancing herder's livelihoods and conserving the snow leopard in Nepal | Type | Journal Article | ||
| Year | 2011 | Publication | Cat News | Abbreviated Journal | |
| Volume | 55 | Issue | Pages | 6 | |
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| Abstract | Loss of livestock to snow leopards Panthera Uncia is one of the primary concerns of subsistence herders' communities and one of the primary threats to conservation of this endsngered species throughout the alpine regions of the central Asia. Unless the relationship between snow leopards abd humans is better understood and appropriate strategies are applied, coexistence may not be sustainable. thus, to address this issue, WWF Nepal piloted a community-managed livestock insurance scheme in Ghunsa valley of Kangchenjunga Conservation Area simultaneously with various types of mitigation measures (i.e preventive and curative) We found significan advantages of the insurance scheme including that it is self-sustaining and locally managed thereby ensuring it is economically viable and effective in preventive retaliatory killing of snow leopards. The main strength of the insurance scheme is that it was designed and developed in close co-operation with the affected herders' communities. The communities start by designing a simple livestock insurance plan whereby owners contribute to a common fund that is later administered and managed at the local level, thus reducing likelihood of fraud. Benefit sharing of funds among subsistence herders' communities from income generating activities is on of the positive motivating tools for people towards snow leopards. Since initiated, snow leopard killings have gone from 1-3/year to 0/year for 3 years. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1374 | ||
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| Author | Holt, C. D. S., Nevin, O. T., Smith, D., Convery, I. | ||||
| Title |
Environmental niche overlap between snow leopard and four prey species in Kazakhstan | Type | Journal Article | ||
| Year | 2018 | Publication | Elsevier | Abbreviated Journal | |
| Volume | Issue | 48 | Pages | 97-103 | |
| Keywords | SDM, MaxEnt, Management, Conservation, Dispersal, Distribution | ||||
| Abstract | The snow leopard Panthera uncia has declined due to habitat loss, habitat fragmentation and human persecution. Predator distribution is heavily dependent on prey species availability and distribution. With increasing pressures from farming practices encroaching into native species range and persecution of snow leopards in response to livestock depredation, it is vital to assess current predator and prey species distribution to highlight sensitive areas of overlap for protection. This study uses MaxEnt, a presence-only Species Distribution Model (SDM) to assess snow leopard and four prey species habitat suitability along the southern and eastern borders of Kazakhstan using environmental data. This area is considered an important corridor between snow leopard populations in the north and south of their range. Each of the five SDM's produced models of �good� discriminating abilities. We then compared the potential niche overlap between snow leopard and four prey species using ENMTools to highlight areas of important niche overlap within the corridor. The results indicated a very high degree of overlap between snow leopard and Siberian ibex and high degrees Capra sibirica with red deer Cervus elaphus, argali Ovis ammon and urial Ovis orientalis. The snow leopard population in this region is also found to be using forested areas below 2500 m, much lower than recorded in other areas of their range. The results highlight areas needed for protection but also pose additional conservation questions regarding the importance of prey species to transitory individuals. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1472 | ||
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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 | ||
| Year | 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1478 | ||
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| Author | Tytar, V.; Hammer, M. | ||||
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Expedition report: Mountain ghosts: snow leopards and other animals in the mountains of the Altai Republic, Central Asia | Type | Report | ||
| Year | 2010 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 65 | ||
| Keywords | Altai | ||||
| Abstract | This study was part of an expedition to the Altai mountains in the Kosh Agach region of the Altai Republic, run by Biosphere Expeditions from 29 June to 22 August 2009. The aim was to continue a survey of snow leopard (Uncia uncia) in this area, as well as surveying the snow leopard's primary prey species, argali (Ovis ammon) and Siberian ibex (Capra sibirica), together with secondary prey species. Using the Snow Leopard Information Management System (SLIMS)developed by the International Snow Leopard Trust (ISLT), presence/absence surveys (SLIMS form 1) of snow leopard and prey species were conducted throughout the study period across the entire survey area. In 2009 surveys were extended to areas away from the Talduair massif site (core area) to the valleys and surrounding ridges of the Karaghem mountain pass. Interviews with local, semi-nomadic herders also formed an important part of the research procedure. The expedition also collected data for extended mammal, bird and plant inventories. Fresh signs of snow leopard presence recorded this year are an indication that the core area once again has been visited and used. The developing relationship between the predator and prey species seems to be very fragile, so any decline (perhaps even slight) in the prey species may drive the snow leopard out of the core area. In addition, human disturbance is considered to be a severe threat. Yet the study area still retains its importance as a habitat for snow leopard and as a corridor for snow leopard dispersal. The survey area urgently needs protection, but involving the local community and raising public awareness is vital if conservation initiatives are to succeed. Today work on establishing four additional nature parks in the Republic of Tuva and the Sailugem Nature Reserve in the Republic of Altai, which will protect the biggest Russian population of the snow leopard is in progress. |
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| Publisher | Biosphere Expeditions | Place of Publication | Editor | ||
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| Notes | Expedition dates: 29 June – 22 August 2009 | Approved | no | ||
| Call Number | SLN @ rana @ | Serial | 1145 | ||
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| Author | Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. | ||||
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Face Value: Towards Robust Estimates of Snow Leopard Densities | Type | Journal Article | ||
| Year | 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 | Karmacharya, D. | ||||
| Title |
Field Protocol – Scat Collection for Genetic Analysis | Type | Miscellaneous | ||
| Year | 2011 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 1-11 | ||
| Keywords | field protocol, scat collection, scat, genetic analysis, Nepal | ||||
| Abstract | Project funded by Snow Leopard Conservation Grant Program. Center for Molecular Genetics, Nepal. | ||||
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| Language | English | Summary Language | Original Title | ||
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ | Serial | 1346 | ||
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