Data from: Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies
Monitoring carnivores is critical for conservation, yet challenging because they are rare and elusive. Few methods exist for monitoring wide-ranging species over large spatial and sufficiently long temporal scales to detect trends. Remote cameras are an emerging technology for monitoring large carni...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:94489 2023-07-02T03:33:55+02:00 Data from: Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies Steenweg, Robin 2016-07-22T21:20:13.000+02:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-ju-iknw https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:94489 unknown doi:10.5061/dryad.64p5c/1 doi:10.5061/dryad.64p5c/2 doi:10.5061/dryad.64p5c/3 doi:10.1016/j.biocon.2016.06.020 http://nbn-resolving.org/urn:nbn:nl:ui:13-ju-iknw doi:10.5061/dryad.64p5c https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:94489 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2016 ftdans https://doi.org/10.5061/dryad.64p5c/110.5061/dryad.64p5c/210.5061/dryad.64p5c/310.1016/j.biocon.2016.06.02010.5061/dryad.64p5c 2023-06-13T13:22:36Z Monitoring carnivores is critical for conservation, yet challenging because they are rare and elusive. Few methods exist for monitoring wide-ranging species over large spatial and sufficiently long temporal scales to detect trends. Remote cameras are an emerging technology for monitoring large carnivores around the world because of their low cost, non-invasive methodology, and their ability to capture pictures of species of concern that are difficult to monitor. For species without uniquely identifiable spots, stripes, or other markings, cameras collect detection/non-detection data that are well suited for monitoring trends in occupancy as its own independent useful metric of species distribution, as well as an index for abundance. As with any new monitoring method, prospective power analysis is essential to ensure meaningful trends can be detected. Here we test camera-based occupancy models as a method to monitor changes in occupancy of a threatened species, grizzly bears (Ursus arctos), at large landscape scales, across 5 Canadian national parks (~21,000 km2). With n = 183 cameras, the top occupancy model estimated regional occupancy to be 0.79 across all 5 parks. We evaluate the statistical power to detect simulated 5–40% declines in occupancy between two sampling years and test applied questions of how power is affected by the spatial scale of interest (park level vs. regional level), the number of cameras deployed, and duration of camera deployment. We also explore several ecological mechanisms (i.e., spatial patterns) of decline in occupancy, and examine how power changes when focusing only on grizzly bears family groups. As hypothesized, statistical power increased with the number of cameras and with the number of days deployed. Power was unaffected, however, by the ecological mechanisms of decline, indicating that our systematic sampling design can detect a decline regardless of whether occupancy declined due to range edge attrition, ecological trap or other mechanisms. Despite their lower occupancy, ... Other/Unknown Material Ursus arctos Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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Life sciences medicine and health care |
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Life sciences medicine and health care Steenweg, Robin Data from: Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies |
topic_facet |
Life sciences medicine and health care |
description |
Monitoring carnivores is critical for conservation, yet challenging because they are rare and elusive. Few methods exist for monitoring wide-ranging species over large spatial and sufficiently long temporal scales to detect trends. Remote cameras are an emerging technology for monitoring large carnivores around the world because of their low cost, non-invasive methodology, and their ability to capture pictures of species of concern that are difficult to monitor. For species without uniquely identifiable spots, stripes, or other markings, cameras collect detection/non-detection data that are well suited for monitoring trends in occupancy as its own independent useful metric of species distribution, as well as an index for abundance. As with any new monitoring method, prospective power analysis is essential to ensure meaningful trends can be detected. Here we test camera-based occupancy models as a method to monitor changes in occupancy of a threatened species, grizzly bears (Ursus arctos), at large landscape scales, across 5 Canadian national parks (~21,000 km2). With n = 183 cameras, the top occupancy model estimated regional occupancy to be 0.79 across all 5 parks. We evaluate the statistical power to detect simulated 5–40% declines in occupancy between two sampling years and test applied questions of how power is affected by the spatial scale of interest (park level vs. regional level), the number of cameras deployed, and duration of camera deployment. We also explore several ecological mechanisms (i.e., spatial patterns) of decline in occupancy, and examine how power changes when focusing only on grizzly bears family groups. As hypothesized, statistical power increased with the number of cameras and with the number of days deployed. Power was unaffected, however, by the ecological mechanisms of decline, indicating that our systematic sampling design can detect a decline regardless of whether occupancy declined due to range edge attrition, ecological trap or other mechanisms. Despite their lower occupancy, ... |
author |
Steenweg, Robin |
author_facet |
Steenweg, Robin |
author_sort |
Steenweg, Robin |
title |
Data from: Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies |
title_short |
Data from: Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies |
title_full |
Data from: Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies |
title_fullStr |
Data from: Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies |
title_full_unstemmed |
Data from: Camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the Canadian Rockies |
title_sort |
data from: camera-based occupancy monitoring at large scales: power to detect trends in grizzly bears across the canadian rockies |
publishDate |
2016 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-ju-iknw https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:94489 |
genre |
Ursus arctos |
genre_facet |
Ursus arctos |
op_relation |
doi:10.5061/dryad.64p5c/1 doi:10.5061/dryad.64p5c/2 doi:10.5061/dryad.64p5c/3 doi:10.1016/j.biocon.2016.06.020 http://nbn-resolving.org/urn:nbn:nl:ui:13-ju-iknw doi:10.5061/dryad.64p5c https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:94489 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.64p5c/110.5061/dryad.64p5c/210.5061/dryad.64p5c/310.1016/j.biocon.2016.06.02010.5061/dryad.64p5c |
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1770274064111239168 |