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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 | ||
| Year | 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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1619 | |||
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| Author | Durbach, I., Borchers, D., Sutherland, C., Sharma, K. | ||||
| Title | Fast, flexible alternatives to regular grid designs for spatial capture–recapture. | Type | Research Article | ||
| Year | 2020 | Publication | Methods in Ecology and Evolution | Abbreviated Journal | |
| Volume | Issue | Pages | 1-13 | ||
| Keywords | camera trap, population ecology,sampling, spatial capture-recapture, surveys | ||||
| Abstract | Spatial capture–recapture (SCR) methods use the location of detectors (camera traps, hair snares and live-capture traps) and the locations at which animals were detected (their spatial capture histories) to estimate animal density. Despite the often large expense and effort involved in placing detectors in a landscape, there has been relatively little work on how detectors should be located. A natural criterion is to place traps so as to maximize the precision of density estimators, but the lack of a closed-form expression for precision has made optimizing this criterion computationally demanding. 2. Recent results by Efford and Boulanger (2019) show that precision can be well approximated by a function of the expected number of detected individuals and expected number of recapture events, both of which can be evaluated at low computational cost. We use these results to develop a method for obtaining survey designs that optimize this approximate precision for SCR studies using count or binary proximity detectors, or multi-catch traps. 3. We show how the basic design protocol can be extended to incorporate spatially varying distributions of activity centres and animal detectability. We illustrate our approach by simulating from a camera trap study of snow leopards in Mongolia and comparing estimates from our designs to those generated by regular or optimized grid designs. Optimizing detector placement increased the number of detected individuals and recaptures, but this did not always lead to more precise density estimators due to less precise estimation of the effective sampling area. In most cases, the precision of density estimators was comparable to that obtained with grid designs, with improvement in some scenarios where approximate CV(¬D) < 20% and density varied spatially. 4. Designs generated using our approach are transparent and statistically grounded. They can be produced for survey regions of any shape, adapt to known information about animal density and detectability, and are potentially easier and less costly to implement. We recommend their use as good, flexible candidate designs for SCR surveys when reasonable knowledge of model parameters exists. We provide software for researchers to construct their own designs, in the form of updates to design functions in the r package oSCR. |
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| Notes | Approved | no | |||
| Call Number | Serial |
1618 | |||
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| Author | Augugliaro, C., Paniccia, C., Janchivlamdan, C., Monti, I. E., Boldbaatar, T., Munkhtsog, B. | ||||
| Title | Mammal inventory in the Mongolian Gobi, with the southeasternmost documented record of the Snow Leopard, Panthera uncia (Schreber, 1775), in the country | Type | Journal Article | ||
| Year | 2019 | Publication | Check List | Abbreviated Journal | |
| Volume | 15 | Issue | 4 | Pages | 575-578 |
| Keywords | Camera trapping, desert, live trapping, mammal checklist, species richness, threatened species. | ||||
| Abstract | Studies on mammal diversity and distribution are an important source to develop conservation and management strategies. The area located in southern Mongolia, encompassing the Alashan Plateau Semi-Desert and the Eastern Gobi Desert-Steppe ecoregions, is considered strategic for the conservation of threatened species. We surveyed the non-volant mammals in the Small Gobi-A Strictly Protected Area (SPA) and its surroundings, by using camera trapping, live trapping, and occasional sightings. We recorded 18 mammal species belonging to 9 families and 6 orders. Among them, 4 are globally threatened or near-threatened, 2 are included in the CITES Appendix I, and 2 are listed in the Appendix II. Moreover, we provide the southeasternmost record for the Snow Leopard (Panthera uncia) in Mongolia, supported by photographic evidence. Our study highlights the importance of this protected area to preserve rare, threatened, and elusive species. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial |
1486 | ||
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| Author | Suryawanshi, K. R., Khanyari, M., Sharma, K., Lkhagvajav, P., Mishra, C. | ||||
| Title | Sampling bias in snow leopard population estimation studies | Type | Journal Article | ||
| Year | 2019 | Publication | Population Eccology | Abbreviated Journal | |
| Volume | Issue | Pages | 1-9 | ||
| Keywords | camera trap, Central Asia, Himalaya, meta-analysis, monitoring, Panthera uncia, population ecology | ||||
| Abstract | Accurate assessments of the status of threatened species and their conservation planning require reliable estimation of their global populations and robust monitoring of local population trends. We assessed the adequacy and suitability of studies in reliably estimating the global snow leopard (Panthera uncia) population. We compiled a dataset of all the peer-reviewed published literature on snow leopard population estimation. Metadata analysis showed estimates of snow leopard density to be a negative exponential function of area, suggesting that study areas have generally been too small for accurate density estimation, and sampling has often been biased towards the best habitats. Published studies are restricted to six of the 12 range countries, covering only 0.3�0.9% of the presumed global range of the species. Re-sampling of camera trap data from a relatively large study site (c.1684 km2) showed that small-sized study areas together with a bias towards good quality habitats in existing studies may have overestimated densities by up to five times. We conclude that current information is biased and inadequate for generating a reliable global population estimate of snow leopards. To develop a rigorous and useful baseline and to avoid pitfalls, there is an urgent need for (a) refinement of sampling and analytical protocols for population estimation of snow leopards (b) agreement and coordinated use of standardized sampling protocols amongst researchers and governments across the range, and (c) sampling larger and under-represented areas of the snow leopard's global range. |
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| Call Number | SLN @ rakhee @ | Serial |
1477 | ||
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| Author | Lama, R. P., Ghale, T. R., Suwal, M. K., Ranabhat, R., Regmi, G. R. | ||||
| Title | First photographic evidence of Snow Leopard Panthera uncia (Mammalia: Carnivora: Felidae) outside current protected areas network in Nepal Himalaya | Type | Journal Article | ||
| Year | 2018 | Publication | Journal of Threatened Taxa | Abbreviated Journal | |
| Volume | Issue | Pages | 12086-12090 | ||
| Keywords | Camera-trapping, conservation, Humla, livestock depredation, monasteries, non-timber forest products, retaliatory killing, Tibetan Buddhism. | ||||
| Abstract | The Snow Leopard Panthera uncia is a rare top predator of high-altitude ecosystems and insufficiently surveyed outside of protected areas in Nepal. We conducted a rapid camera-trapping survey to assess the presence of Snow Leopard in the Limi valley of Humla District. Three individuals were recorded in two camera locations offering the first photographic evidence of this elusive cat outside the protected area network of Nepal. In addition to Snow Leopard, the Blue Sheep Pseudois nayaur, Beech Marten Martes foina, Pika Ochotona spp. and different species of birds were also detected by camera-traps. More extensive surveys and monitoring are needed for reliably estimating the population size of Snow Leopard in the area. The most urgent needs are community-based conservation activities aimed at mitigating immediate threats of poaching, retaliatory killing, and rapid prey depletion to ensure the survival of this top predator in the Himalaya. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial |
1470 | ||
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| Author | Rovero, F., Augugliaro, C., Havmoller, R. W., Groff, C., Zimmerman, F., Oberosler, V., Tenan, S. | ||||
| Title | Co-occurrence of snow leopard Panthera uncia, Siberian ibex Capra sibirica and livestock: potential relationships and effects | Type | Journal Article | ||
| Year | 2018 | Publication | Oryx | Abbreviated Journal | |
| Volume | Issue | Pages | 1-7 | ||
| Keywords | Altai mountains, camera trapping, human� wildlife conflict, Mongolia, occupancy, occurrence interactions, Siberian ibex, snow leopard | ||||
| Abstract | Understanding the impact of livestock on native wildlife is of increasing conservation relevance. For the Vulnerable snow leopard Panthera uncia, wild prey reduction, intensifying human�wildlife conflicts and retaliatory killings are severe threats potentially exacerbated by the presence of livestock. Elucidating patterns of co-occurrence of snow leopards, wild ungulate prey, and livestock, can be used to assess the compatibility of pastoralism with conservation. We used camera trapping to study the interactions of livestock, Siberian ibex Capra sibirica and snow leopards in a national park in the Altai mountains, Mongolia. We obtained  detections of wild mammals and  of domestic ungulates, dogs and humans. Snow leopards and Siberian ibex were recorded  and  times, respectively. Co-occurrence modelling showed that livestock had a higher estimated occupancy (.) than ibex, whose occupancy was lower in the presence of livestock (.) than in its absence (.�. depending on scenarios modelled). Snow leopard occupancy did not appear to be affected by the presence of livestock or ibex but the robustness of such inference was limited by uncertainty around the estimates. Although our sampling at presumed snow leopard passing sites may have led to fewer ibex detections, results indicate that livestock may displace wild ungulates, but may not directly affect the occurrence of snow leopards. Snow leopards could still be threatened by livestock, as overstocking can trigger human�carnivore conflicts and hamper the conservation of large carnivores. Further research is needed to assess the generality and strength of our results. |
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| Call Number | SLN @ rakhee @ | Serial |
1465 | ||
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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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| Call Number | SLN @ rakhee @ | Serial |
1456 | ||
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| Author | Kashkarov, E. | ||||
| Title | THE SNOW LEOPARD OF KIRGIZIA: NATIONAL SHAME OR NATIONAL PRIDE | Type | Journal Article | ||
| Year | 2017 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 239-253 | ||
| Keywords | snow leopard, irbis, ibex, mountain sheep, conservation, range, reserve, monitoring, cameratrap, Sarychat, Kirgizia, Central Asia. | ||||
| Abstract | Article examines the problems existing in conservation of the snow leopard in Kirgizia after break-up of the USSR. Unfortunate situation is common to most of the 14 countries in the snow leopard range, but seems especially sharp to Kirgizia. Yet half of the century ago Kirgizia has had about 1.5 thousand of the snow leopards, and today there remains no more than 1/10. In Soviet time Kirgizia was a global supplier of the snow leopards for the zoo-export � to create a reserve number of endangered cats in captivity. Today, at least half of the snow leopards in the Zoos of the world are individuals, caught in Kirgizia or their descendants. Since independence, Kirgizia has set new records. In Sarychat-Irtash reserve � the best for the snow leopard in Central Asia, and probably in the whole range � this species was completely destroyed after 3 years of reserve opening... and 17 years later � revived... Situation comes presently back to the worst-case scenario, and not only for the snow leopard. Author shows how work in this direction social and economic levers, and what kind future he would like to see in Kirgizia, where he lived for 12 years and was at the forefront of pioneering research of the snow leopard and its conservation. |
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| Call Number | SLN @ rakhee @ | Serial |
1454 | ||
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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 | Alexander, J. S., Shi, K., Tallents, L. A., Riordan, P. | ||||
| Title | On the high trail: examining determinants of site use by the Endangered snow leopard Panthera uncia in Qilianshan, China | Type | Journal Article | ||
| Year | 2015 | Publication | Oryx | Abbreviated Journal | |
| Volume | Issue | Fauna & Flora International | Pages | 1-8 | |
| Keywords | Camera Trap, China, Detection Probability, Occupancy Modelling, Panthera Uncia, Site use, Snow Leopard | ||||
| Abstract | Abstract There is a need for simple and robust techniques for assessment and monitoring of populations of the Endangered snow leopard Panthera uncia to inform the de- velopment of action plans for snow leopard conservation. We explored the use of occupancy modelling to evaluate the influence of environmental and anthropogenic features on snow leopard site-use patterns. We conducted a camera trap survey across  km in Gansu Province, China, and used data from  camera traps to estimate probabilities of site use and detection using the single season occupancy model. We assessed the influence of three covariates on site use by snow leopards: elevation, the presence of blue sheep Pseudois nayaur and the presence of human disturb- ance (distance to roads). We recorded  captures of snow leopards over , trap-days, representing a mean capture success of . captures per  trap-days. Elevation had the strongest influence on site use, with the probability of site use increasing with altitude, whereas the influence of presence of prey and distance to roads was relatively weak. Our findings indicate the need for practical and robust tech- niques to appraise determinants of site use by snow leo- pards, especially in the context of the limited resources available for such work. | ||||
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| Call Number | SLN @ rakhee @ | Serial |
1433 | ||
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