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Author |
Sivolobov, R. |
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Title |
ENDANGERED SPECIES OF KORYAKIA AND CHUKOTKA: IRBIS, TIGER AND THE IRKUYEM-BEAR |
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2017 |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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225-233 |
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endangered species, Beringian snow cat, Snow leopard, Irbis, Amur tiger, Irkuyem-bear, camera-trap, Koryakia, Chukotka |
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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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SLN @ rakhee @ |
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1456 |
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Author |
Shuren, X. |
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Title |
An introduction to feeding and management of snow leopard in Xining Zoo, China |
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1994 |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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177-182 |
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China; zoos; zoo; captivity; management; diet; behavior; trapping; hunting; breeding; mating; reproduction; browse; 3740 |
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Islt |
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Usa |
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J.L.Fox; D.Jizeng |
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full text at URLTitle, Monographic: Seventh International Snow Leopard SymposiumPlace of Meeting: ChinaDate of Copyright: 1994 |
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Call Number |
SLN @ rana @ 266 |
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893 |
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Author |
Spearing, A. |
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Title |
A Note on the Prospects for Snow Leopard Census Using Photographic Capture |
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Conference Article |
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2002 |
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snow; leopard; photo; trap; camera; image; capture; 35mm; film; 5080 |
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Islt |
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Title, Monographic: Proceedings of the Snow Leopard Survival SummitPlace of Meeting: Seattle,WA |
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SLN @ rana @ 494 |
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918 |
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Author |
McCarthy, T.; Murray, K.; Sharma, K.; Johansson, O. |
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Title |
Preliminary results of a long-term study of snow leopards in South Gobi, Mongolia |
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Journal Article |
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2010 |
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Cat News |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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53 |
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15-19 |
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snow leopard, Mongolia, monitor, population, Panthera, Snow Leopard Trust, Snow Leopard Conservation Fund, South Gobi, ecology, radio collar, GPS-satellite collar, home range, camera trapping, fecal genetics, occupancy modeling |
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Snow leopards Panthera uncia are under threat across their range and require urgent conservation actions based on sound science. However, their remote habitat and cryptic nature make them inherently difficult to study and past attempts have provided insufficient information upon which to base effective conservation. Further, there has been no statistically-reliable and cost-effective method available to monitor snow leopard populations, focus conservation effort on key populations, or assess conservation impacts. To address these multiple information needs, Panthera, Snow Leopard Trust, and Snow Leopard Conservation Fund, launched an ambitious long-term study in Mongolia’s South Gobi province in 2008. To date, 10 snow leo-pards have been fitted with GPS-satellite collars to provide information on basic snow leopard ecology. Using 2,443 locations we calculated MCP home ranges of 150 – 938 km2, with substantial overlap between individuals. Exploratory movements outside typical snow leopard habitat have been observed. Trials of camera trapping, fecal genetics, and occupancy modeling, have been completed. Each method ex-hibits promise, and limitations, as potential monitoring tools for this elusive species. |
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SLN @ rana @ |
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1151 |
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Author |
WWF Russia & Mongolia |
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Title |
WWF Altai-Sayan Newsletter |
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Report |
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2010 |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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14 |
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Altai Sayan, WWF, camera trap, Argut River, poaching, conservation, Tuva |
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A Snow Leopard – A Treasure of Tuva. A beautiful animal as a winner of a wide-scale public vote
WWF will train a Scat Detection Dog for snow leopard monitoring project
WWF assessed the possibility to fight illegal helicopter hunting
WWF considers support of antipoaching activities an essential part of wildlife conservation in Altai – Sayan
Snow Leopard Camera Trapping in Argut River Valley
“Stars” of Tuva appeal to Snow Leopard Conservation |
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Communication Staff of Altai - Sayan Programme in Russia and Mongolia |
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WWF |
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October-December 2010. Email: tivanitskaya@wwf.ru |
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SLN @ rana @ |
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1297 |
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Author |
Thapa, K., Pradhan, N, M, B., Barker, J., Dhakal, M., Bhandari, A, R., Gurung, G, S., Rai, D, P., Thapa, G, J., Shrestha, S., Singh, G, R. |
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High elevation record of a leopard cat in the Kangchenjunga Conservation Area, Nepal |
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Journal Article |
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2013 |
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Cat News |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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No 58 |
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26-27 |
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leopard cat, camera trapping survey, Nepal |
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During a camera trapping survey in Khambachen valley of Kangchenjunga Conservation
Area KCA from 24 April to 26 May 2012 we camera trapped one leopard cat
Prionailurus bengalensis at an altitude of 4,474 meter. This is probably the highest
altitudinal record for the species in its range. Additionally, one melanistic leopard
Panthera pardus was captured at an altitude of 4,300 m, which is probably as well the
highest documented record in the country. Yet at this stage, no obvious reason can
explain these unusual high records for both species, thus more surveys are recommended
for this region. |
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SLN @ rakhee @ |
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1394 |
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Author |
Ale, S., Shrestha, B., and Jackson, R. |
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Title |
On the status of Snow Leopard Panthera Uncia (Schreber 1775) in Annapurna, Nepal |
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Journal Article |
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2014 |
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Journal of Threatened Taxa |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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6(3) |
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5534-5543 |
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Annapurna, Blue Sheep, Buddhism, camera-trapping, Himalayas, Mustang, sign-survey, Snow Leopard. |
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SLN @ rakhee @ |
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1407 |
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Author |
Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Face Value: Towards Robust Estimates of Snow Leopard Densities |
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Journal Article |
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2015 |
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Plos One |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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Densities, Snow Leopard, Camera traps, Spatial Capture Recapture models |
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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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SLN @ rakhee @ |
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1431 |
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Alexander, J. S., Shi, K., Tallents, L. A., Riordan, P. |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
On the high trail: examining determinants of site use by the Endangered snow leopard Panthera uncia in Qilianshan, China |
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Journal Article |
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2015 |
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Oryx |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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Fauna & Flora International |
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1-8 |
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Camera Trap, China, Detection Probability, Occupancy Modelling, Panthera Uncia, Site use, Snow Leopard |
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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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SLN @ rakhee @ |
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1433 |
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Alexander, S., A., Zhang, C., Shi, K., Riordan, P. |
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Title |
A granular view of a snow leopard population using camera traps in Central China |
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2016 |
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Biological Conservation |
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Volume ![sorted by Volume (numeric) field, ascending order (up)](img/sort_asc.gif) |
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197 |
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27-31 |
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Snow leopard Camera trap China Density Monitoring |
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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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SLN @ rakhee @ |
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1436 |
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