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Author |
Ming, M. |
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Title |
Camera trapping on snow leopards in the Muzat Valley, Reserve, Xinjiang, P.R. China (October-December 2005) |
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2006 |
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1-5 |
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behavior; camera trapping; China; feces; ibex; infrared trapping cameras; livestock; population size; snow leopard; Tomur; transect; Xinjiang |
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The main purpose of this work was to study the use of infrared trapping cameras to estimate Snow Leopard population size in a specific study area. This is the first time a study of this nature has taken place in China. During 71 days of field work, a total of 36 cameras were set up in Muzat Valley adjacent to the Tomur Nature Reserve in Xinjiang Province. We expended approximately 2094 trap days total. At least 32 pictures of Snow Leopards, 22 pictures of other wild species and 72 pictures of livestock were taken in the Muzat Valley. Meanwhile, 20 transects were run and 31 feces sample were collected. We also observed the behavior of ibex for 77.3 hours and found a total of approximately 264 ibexes in the research area. |
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SLN @ rana @ 970 |
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682 |
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Author |
Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. |
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Title |
Surveying Snow Leopard Populations with Emphasis on Camera Trapping: A Handbook |
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Book Whole |
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2005 |
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1-73 |
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snow; snow leopard; snow-leopard; leopard; populations; population; camera; camera trapping; trapping |
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This handbook provides an introduction to snow leopard population survey techniques, followed by a detailed account of camera trapping methods.During the 2002 through 2004 winter field seasons, the Snow Leopard Conservancy experimented with infrared camera trapping techniques to define a methodology suitable for the high altitude environment.
In 2001 and 2002, much of our time was spent familiarizing ourselves with various infrared camera traps, their operation and setup, and comparing the effectiveness of different models and sensor types. We placed infrared camera traps along frequently used travel corridors at or near scent-sprayed rocks (rock scents) and scrape sites within 16 km2 sampling cells between January and March in 2003 and 2004. A total of 66 and 49 captures of snow leopards were tallied during 2003 and 2004, resulting in an overall capture success of 8.91 and 5.63 individuals per 100 trap-nights, respectively. Capture probabilities ranged from 0.33 to 0.46. Density estimates ranged from 8.49 ± 0.22 individuals per 100 km2 in 2003 to 4.45 ± 0.16 in 2004, with the disparity between years largely attributed to different trapping densities. Snow leopard abundance estimates were calculated using the computer program CAPTURE. |
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The Snow Leopard Conservancy |
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Sonoma, California |
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English |
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English version. |
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Call Number |
SLN @ rana @ 1016 |
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474 |
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Author |
Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. |
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Title |
Surveying Snow Leopard Populations with Emphasis on Camera Trapping: A Handbook |
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Book Whole |
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Year |
2005 |
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Abbreviated Journal |
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Pages ![sorted by First Page field, descending order (down)](img/sort_desc.gif) |
1-73 |
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Keywords |
snow; snow leopard; snow-leopard; leopard; survey; conservation; populations; population; camera; camera trapping; trapping; Chinese |
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Abstract |
This handbook provides an introduction to snow leopard population survey techniques, followed by a detailed account of camera trapping methods.During the 2002 through 2004 winter field seasons, the Snow Leopard Conservancy experimented with infrared camera trapping techniques to define a methodology suitable for the high altitude environment.
In 2001 and 2002, much of our time was spent familiarizing ourselves with various infrared camera traps, their operation and setup, and comparing the effectiveness of different models and sensor types. We placed infrared camera traps along frequently used travel corridors at or near scent-sprayed rocks (rock scents) and scrape sites within 16 km2 sampling cells between January and March in 2003 and 2004. A total of 66 and 49 captures of snow leopards were tallied during 2003 and 2004, resulting in an overall capture success of 8.91 and 5.63 individuals per 100 trap-nights, respectively. Capture probabilities ranged from 0.33 to 0.46. Density estimates ranged from 8.49 ± 0.22 individuals per 100 km2 in 2003 to 4.45 ± 0.16 in 2004, with the disparity between years largely attributed to different trapping densities. Snow leopard abundance estimates were calculated using the computer program CAPTURE. |
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The Snow Leopard Conservancy |
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Sonoma, California |
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Chinese |
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Notes |
Chinese translation. |
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Call Number |
SLN @ rana @ 1015 |
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473 |
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Author |
Alexander, J. S., Gopalswamy, A. M., Shi, K., Riordan, P. |
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Title |
Face Value: Towards Robust Estimates of Snow Leopard Densities |
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2015 |
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Plos One |
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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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Call Number |
SLN @ rakhee @ |
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1431 |
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Author |
WWF Russia & Mongolia |
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Title |
WWF Altai-Sayan Newsletter |
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2010 |
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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 |
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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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 |
Schaller, G. |
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Title |
Wildlife Survey in Tibet, Report #8 |
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Miscellaneous |
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1988 |
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Tibet; survey; Kashi; Xinjiang; antelope; wild-ass; gazzele; argali; blue-sheep; yak; wolf; brown-bear; livestock; hunting; trapping; poaching; browse; 4300 |
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Full Text at URL |
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SLN @ rana @ 418 |
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856 |
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McCarthy, T. |
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Snow Leopard Conservation Plan for the Republic of Mongolia |
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1999 |
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Mongolia; conservation; legal-status; Iunc; Cites; distribution; status; Altay; gobi; parks; preserves; habitat; reserves; refuge; protected-area; poaching; hunting; trade; furs; pelts; skins; coats; bones; trapping; livestock; herders; killing; habitat-fragmentation; threats; Disease; prey; diet; Mne; laws; education; management; Macne; Wwf; Islt; regulations; monitoring; Slims; tourism; conflict; browse; legal status; legal; protected; area; fragmentation; world wildlife fund; international snow leopard trust; 3890 |
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Full Text Available at URL: DRAFT |
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SLN @ rana @ 366 |
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657 |
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Author |
Jackson, R.; Roe, J. |
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Title |
Preliminary Observations On Non-Invasive Techniques for Identifying Individual Snow Leopards and Monitoring Populations |
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2002 |
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snow; leopard; monitoring; population; uncia; non; invasive; photo; camera; trap; traps; 4970 |
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Islt |
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Abastract OnlyTitle, Monographic: Proceedings of the Snow Leopard Survival SummitPlace of Meeting: Seattle,WA |
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SLN @ rana @ 483 |
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469 |
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Jackson, R. |
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The Snow Leopard Conservancy, Dedicated to demonstrating innovative, grassroots measures that lead local shepherds to become better stewards of the endangered snow leopard, its prey and habitat |
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2000 |
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livestock-depredation; livestock; herders; conflict; Iucn; enclosures; pens; corrals; trap; poison; hunting; behavior; Ladakh; guard-dogs; Dogs; economics; incentives; compensation; depredation; guard; browse; 4060 |
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Full Text at URL |
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SLN @ rana @ 377 |
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465 |
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