Validation of a new video and telemetry system for remotely monitoring wildlife
Current techniques for remotely monitoring wildlife lack the capability to survey a wide area or to transmit data in real time. We addressed these technology gaps by developing and testing a new video and telemetry system for remotely sampling wildlife abundance, distribution, and behavior across la...
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ftutahsudc:oai:digitalcommons.usu.edu:wild_facpub-2464 2024-04-21T07:59:26+00:00 Validation of a new video and telemetry system for remotely monitoring wildlife MacNulty, Daniel R. Plumb, G. E. Smith, D. W. 2008-01-01T08:00:00Z https://digitalcommons.usu.edu/wild_facpub/1464 https://doi.org/10.2193/2008-069 unknown Hosted by Utah State University Libraries https://digitalcommons.usu.edu/wild_facpub/1464 doi:10.2193/2008-069 https://doi.org/10.2193/2008-069 Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. Wildland Resources Faculty Publications video telemetry remote monitoring wildlife text 2008 ftutahsudc https://doi.org/10.2193/2008-069 2024-03-27T15:30:41Z Current techniques for remotely monitoring wildlife lack the capability to survey a wide area or to transmit data in real time. We addressed these technology gaps by developing and testing a new video and telemetry system for remotely sampling wildlife abundance, distribution, and behavior across large open areas. The system consisted of 2 pan–tilt–zoom video cameras equipped with 20–200× lens, and an automated telemetry scanner and data logger. All components were charged by wind and solar power and located on a hilltop overlooking an open valley (23 km2) in Yellowstone National Park, USA. A satellite up-link to the internet transmitted data in real time to the University of Minnesota-St. Paul and relayed commands from undergraduate students who controlled the cameras and systematically scanned the area at 2-hour intervals 6 times/day (0800–2000 hr) 7 days/week for about 20 consecutive weeks (Dec–Jun). During each scan, students recorded presence, activity, and location of bison (Bison bison), coyote (Canis latrans), grizzly bear (Ursus arctos), red fox (Vulpes vulpes), and wolf (Canis lupus). The telemetry system continuously scanned frequencies of 100 tagged wolves, including 4 members of the one resident pack. We determined wolf presence in real time by viewing the incoming data stream, or we assessed presence later after off-loading the data logger. Matched pairs of simultaneous observations taken by remote and on-site observers during a 13-day double-sampling period were highly correlated (r = 0.71–0.94), but remote observations were biased toward larger, more visible mammals (e.g., bison) and tended to underestimate their abundance. Nevertheless, the system was deployed longer than was practical for on-site observers and was, therefore, useful for detecting long-term, fine-scale trends such as daily changes in bison numbers as a function of snow depth. Text Canis lupus Ursus arctos Bison bison bison Utah State University: DigitalCommons@USU The Journal of Wildlife Management 72 8 1834 1844 |
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video telemetry remote monitoring wildlife |
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video telemetry remote monitoring wildlife MacNulty, Daniel R. Plumb, G. E. Smith, D. W. Validation of a new video and telemetry system for remotely monitoring wildlife |
topic_facet |
video telemetry remote monitoring wildlife |
description |
Current techniques for remotely monitoring wildlife lack the capability to survey a wide area or to transmit data in real time. We addressed these technology gaps by developing and testing a new video and telemetry system for remotely sampling wildlife abundance, distribution, and behavior across large open areas. The system consisted of 2 pan–tilt–zoom video cameras equipped with 20–200× lens, and an automated telemetry scanner and data logger. All components were charged by wind and solar power and located on a hilltop overlooking an open valley (23 km2) in Yellowstone National Park, USA. A satellite up-link to the internet transmitted data in real time to the University of Minnesota-St. Paul and relayed commands from undergraduate students who controlled the cameras and systematically scanned the area at 2-hour intervals 6 times/day (0800–2000 hr) 7 days/week for about 20 consecutive weeks (Dec–Jun). During each scan, students recorded presence, activity, and location of bison (Bison bison), coyote (Canis latrans), grizzly bear (Ursus arctos), red fox (Vulpes vulpes), and wolf (Canis lupus). The telemetry system continuously scanned frequencies of 100 tagged wolves, including 4 members of the one resident pack. We determined wolf presence in real time by viewing the incoming data stream, or we assessed presence later after off-loading the data logger. Matched pairs of simultaneous observations taken by remote and on-site observers during a 13-day double-sampling period were highly correlated (r = 0.71–0.94), but remote observations were biased toward larger, more visible mammals (e.g., bison) and tended to underestimate their abundance. Nevertheless, the system was deployed longer than was practical for on-site observers and was, therefore, useful for detecting long-term, fine-scale trends such as daily changes in bison numbers as a function of snow depth. |
format |
Text |
author |
MacNulty, Daniel R. Plumb, G. E. Smith, D. W. |
author_facet |
MacNulty, Daniel R. Plumb, G. E. Smith, D. W. |
author_sort |
MacNulty, Daniel R. |
title |
Validation of a new video and telemetry system for remotely monitoring wildlife |
title_short |
Validation of a new video and telemetry system for remotely monitoring wildlife |
title_full |
Validation of a new video and telemetry system for remotely monitoring wildlife |
title_fullStr |
Validation of a new video and telemetry system for remotely monitoring wildlife |
title_full_unstemmed |
Validation of a new video and telemetry system for remotely monitoring wildlife |
title_sort |
validation of a new video and telemetry system for remotely monitoring wildlife |
publisher |
Hosted by Utah State University Libraries |
publishDate |
2008 |
url |
https://digitalcommons.usu.edu/wild_facpub/1464 https://doi.org/10.2193/2008-069 |
genre |
Canis lupus Ursus arctos Bison bison bison |
genre_facet |
Canis lupus Ursus arctos Bison bison bison |
op_source |
Wildland Resources Faculty Publications |
op_relation |
https://digitalcommons.usu.edu/wild_facpub/1464 doi:10.2193/2008-069 https://doi.org/10.2193/2008-069 |
op_rights |
Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact the Institutional Repository Librarian at digitalcommons@usu.edu. |
op_doi |
https://doi.org/10.2193/2008-069 |
container_title |
The Journal of Wildlife Management |
container_volume |
72 |
container_issue |
8 |
container_start_page |
1834 |
op_container_end_page |
1844 |
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1796940195970416640 |