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| Author | Johansson, Torbjorn, A. Johansson, Orjan. McCarthy, Tom | ||||
| Title | An Automatic VHF Transmitter Monitoring System for Wildlife Research | Type | Journal Article | ||
| Year | 2011 | Publication | Wildlife Society Bulletin | Abbreviated Journal | |
| Volume | 9999 | Issue  |
Pages | 1-5 | |
| Keywords | automatic system, monitoring, pulse detection, trap-site transmitter, VHF transmitter monitoring | ||||
| Abstract | We describe an automated system for monitoring multiple very high frequency (VHF) transmitters, which are commonly employed in wildlife studies. The system consists of a microprocessor-controlled radio-frequency monitor equipped with advanced signal-processing capabilities that communicates with, and relays information to, a user interface unit at a different location. the system was designed for a capture-and-release snow leopard (Panthera uncia) study in Mongolia, where checking trap-site transmitters manually entailed climbing a hill with telemetry equipment several times each day and night. Here, it monitors the trap-site transmitters and actively produces an alarm when any of the traps have been triggered, or if the system has lost contact with any trap-transmitter. The automated system allowed us to constantly monitor transmitters from a research camp, and alerted us each time a trap was triggered. The system has been field-tested for 83 days from mid-September 2010 to mid-december 2010 in the Tost mountain range on the edge of Mongolia's Gobi desert. During this time, the system performed reliably, responding correctly to 45 manually generated alarms and 9 animal captures. The system considerably shortens the time the captured animals spend in traps, and also mitigates the need for manual trap-site transmitter monitoring, greatly reducing risk to the animal and the human effort involved. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1379 | ||
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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 | ||
| Year | 2015 | Publication | Plos One | Abbreviated Journal | |
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| 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 | 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1454 | ||
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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 | Bo, W. | ||||
| Title | Illegal Trade of Snow Leopards in China: An Overview | Type | Conference Article | ||
| Year | 2002 | Publication | Abbreviated Journal | ||
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| Keywords | zoo; collection; illegal; poaching; snow; leopard; trading; pelts; pelt; skin; bone; meat; trapping; 5110 | ||||
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| Publisher | Islt | Place of Publication | Islt | Editor | |
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| Notes | Title, Monographic: Proceedings of the Snow Leopard Survival SummitPlace of Meeting: Seattle,WA | Approved | no | ||
| Call Number | SLN @ rana @ 497 | Serial | 177 | ||
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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 | 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1477 | ||
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| Author | Oberosler, V., Tenan, S., Groff, C., Krofel, M., Augugliaro, C., Munkhtsog, B., Rovero, F. | ||||
| Title | First spatially‐explicit density estimate for a snow leopard population in the Altai Mountains | Type | Journal Article | ||
| Year | 2021 | Publication | Biodiversity and Conservation | Abbreviated Journal | |
| Volume | Issue |
Pages | 15 | ||
| Keywords | Camera trapping · Conservation · Abundance · Felids · Activity range · Mongolia · Panthera uncia · Spatial capture-recapture | ||||
| Abstract | The snow leopard Panthera uncia is an elusive and globally-threatened apex predator occurring in the mountain ranges of central Asia. As with other large carnivores, gaps in data on its distribution and abundance still persist. Moreover, available density estimates are often based on inadequate sampling designs or analytical approaches. Here, we used camera trapping across a vast mountainous area (area of the sampling frame 850 km2; analysed habitat extent 2600 km2) and spatially-explicit capture-recapture (SECR) models to provide, to our knowledge, the first robust snow leopard population density estimate for the Altai Mountains. This region is considered one of the most important conservation areas for snow leopards, representing a vast portion of suitable habitat and a key ecological corridor. We also provide estimates of the scale parameter (σ) that reflects ranging behaviour (activity range) and baseline encounter probability, and investigated potential drivers of density and related parameters by assessing their associations with anthropogenic and environmental factors. Sampling yielded 9729 images of snow leopards corresponding to 224 independent detections that belonged to a minimum of 23 identified adult individuals. SECR analysis resulted in an overall density of 1.31 individuals/100 km2 (1.15%–1.50 95% CI), which was positively correlated with terrain slope. This estimate falls within the mid-values of the range of density estimates for the species globally. We estimated significantly different activity range size for females and males (79 and 329 km2, respectively). Base- line encounter probability was negatively associated with anthropogenic activity. Our study contributes to on-going efforts to produce robust global estimates of population abundance for this top carnivore. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1662 | ||
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| Author | Allen, M. L., Rovero, F., Oberosler, V., Augugliaro, C., Krofel, M. | ||||
| 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 | Zhang, C., Ma, T., Ma, D. | ||||
| 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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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1725 | ||
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