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Author |
Hunter, D.O. |
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Title |
Science and Spirit:GIS tracks the elusive snow leopard |
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Journal Article |
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Year |
1991 |
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GeoInfo Systems |
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Jan |
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21-28 |
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Gis; home-range; movements; home; range; browse; 3350 |
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SLN @ rana @ 185 |
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393 |
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Author |
Prasad, S.N.; Chundawat, R.S.; Hunter, D.O.; Panwar, H.S.; Rawat, G.S. |
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Title |
Remote sensing snow leopard habitat in the trans-Himalaya of India using spatial models and satellite imagery preliminary results |
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Conference Article |
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Year |
1991 |
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519-523 |
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Keywords |
snow-leopard; Gis; cartographic-modelling; India; Ladakh; Zanskar; predation; habitat; prey; predator; blue-sheep; snow leopard; blue; sheep; browse; cartographic modelling; cartographic; modelling; 810 |
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The snow leopard (Panthera uncia) is a flagship species for conservation in the high mountain regions of central Asia. Data on snow leopard predation, habitat conditions and range of main prey species were gathered along with thematic maps of the study area for elevation, snow cover, sighting data, kill data, blue sheep use areas, and vegetation data. These data were entered into a GIS and used to help delineate surface features from a satellite image. Preliminary results show that general physiographic features of snow leopard habitat can be detected using satellite imagery and that GIS cartographic modeling techniques can improve this delineation. -from Authors |
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Buhyoff, G.J. |
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Title, Monographic: Resource Technology 90. Proc. second international symposium on advanced technology in natural resources management
Place of Meeting: Washington, DC |
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Call Number |
SLN @ rana @ 176 |
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792 |
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Author |
Jackson, R.; Roe, J.; Wangchuk, R.; Hunter, D. |
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Title |
Camera-Trapping of Snow Leopards |
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Journal Article |
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Year |
2005 |
Publication |
Cat News |
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42 |
Issue |
Spring |
Pages |
19-21 |
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Keywords |
camera trapping; snow; snow leopards; snow leopard; snow-leopards; snow-leopard; leopards; leopard; felids; tigers; tiger; techniques; surveys; survey; information; factor; marking; behavior; Ahlborn; Jackson; habitat; status; range; census; India; Hemis; High; national; national park; National-park; park; Ladakh; leh |
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Solitary felids like tigers and snow leopards are notoriously difficult to enumerate, and indirect techniques like pugmark surveys often produce ambiguous information that is difficult to interpret because many factors influence marking behavior and frequency (Ahlborn & Jackson 1988). Considering the snow leopard's rugged habitat, it is not surprising then that information on its current status and occupied range is very limited. We adapted the camera-trapping techniques pioneered by Ullas Karanth and his associates for counting Bengal tigers to the census taking of snow leopards in the Rumbak watershed of the India's Hemis High Altitude National Park (HNP), located in Ladakh near Leh (76ø 50' to 77ø 45' East; 33ø 15' to 34ø 20'North). |
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Call Number |
SLN @ rana @ 1017 |
Serial |
475 |
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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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1-73 |
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Keywords |
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 |
Serial |
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 |
Type |
Book Whole |
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Year |
2005 |
Publication |
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Abbreviated Journal |
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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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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 |
Jackson, R., Hunter, D.O. |
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Title |
Snow leopard Survey and conservation handbook (First edition) |
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Report |
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Year |
1995 |
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1-120 |
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Keywords |
CCT, census, conservation, habitat, method, monitoring, prey, snow leopard, survey, Uncia uncia |
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The objectives of this handbook (First edition) are to provide standard procedures for conducting snow leopard status and distribution surveys; suggest uniform methods for assessing the status and relative abundance of large prey species (ungulates such as blue sheep, argali, markhor, Himalayan tahr, urial, ibex, red deer, and roe deer); offer guidance in evaluating habitat quality and identifying the major environmental factors affecting species welfare; and provide standard forms for reporting the results of these field surveys, and a process for feeding information developed by the International Snow Leopard Trust into Snoe Leopard Information Management System (SLIMS). |
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International Snow Leopard Trust |
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SLN @ rana @ |
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1120 |
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Author |
Jackson, M. R., Munkhtsog, B., Munkhtsog, B., Hunter, B., Rice, D., Hunter, D. O. |
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Title |
Harnessing Drones for Snow Leopard Prey Surveys |
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Journal Article |
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Year |
2024 |
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SL Reports |
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3 |
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1-8 |
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Keywords |
argali, Asiatic ibex, surveys, drone, Mongolia, snow leopard, thermal imagery, Unmanned Aerial Vehicle (UAV) |
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Surveying snow leopard prey species such as argali, ibex or blue sheep through traditional ground-based observations is time-consuming, expensive, and challenging. Aerial drones present a promising alternative. We tested using thermal-sensor- equipped drones to count ungulate populations in Mongolia’s Ikh Nart Nature Reserve, surveying ~400km of transects along five fixed routes for forty-three missions. Drones detected 235 prey animals and 209 livestock; 26% of all sightings were in areas that would not have been visible to hypothetical ground-based observers. Our tests reinforced the utility of drones for counting snow leopard prey and highlighted important issues and future advances for supporting largely autonomous prey surveys. We recommend biologists build upon existing technology to attain an inexpensive, easy to use, and field ready set of equipment and procedures that can reliably improve or replace traditional transect or point count methods for large prey species. |
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SLN @ rakhee @ |
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1753 |
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