Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ...
Surveying cryptic, nocturnal animals is logistically challenging. Consequently, density estimates may be imprecise and uncertain. Survey innovations mitigate ecological and observational difficulties contributing to estimation variance. Thus, comparisons of survey techniques are critical to evaluate...
Main Author: | |
---|---|
Format: | Dataset |
Language: | English |
Published: |
Dryad
2021
|
Subjects: | |
Online Access: | https://dx.doi.org/10.5061/dryad.3r2280gg0 https://datadryad.org/stash/dataset/doi:10.5061/dryad.3r2280gg0 |
id |
ftdatacite:10.5061/dryad.3r2280gg0 |
---|---|
record_format |
openpolar |
spelling |
ftdatacite:10.5061/dryad.3r2280gg0 2024-02-04T10:01:58+01:00 Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ... Bedson, Carlos 2021 https://dx.doi.org/10.5061/dryad.3r2280gg0 https://datadryad.org/stash/dataset/doi:10.5061/dryad.3r2280gg0 en eng Dryad https://doi.org/10.2981/wlb.00802 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS Natural sciences Dataset dataset 2021 ftdatacite https://doi.org/10.5061/dryad.3r2280gg0 2024-01-05T04:39:59Z Surveying cryptic, nocturnal animals is logistically challenging. Consequently, density estimates may be imprecise and uncertain. Survey innovations mitigate ecological and observational difficulties contributing to estimation variance. Thus, comparisons of survey techniques are critical to evaluate estimates of abundance. We simultaneously compared three methods for observing mountain hare (Lepus timidus) using Distance sampling to estimate abundance. Daylight visual surveys achieved 41 detections, estimating density at 14.3 hares km-2 (95%CI 6.3–32.5) resulting in the lowest estimate and widest confidence interval. Night-time thermal imaging achieved 206 detections, estimating density at 12.1 hares km-2 (95%CI 7.6–19.4). Thermal imaging captured more observations at furthest distances, and detected larger group sizes. Camera traps achieved 3,705 night-time detections, estimating density at 22.6 hares km-2 (95%CI 17.1–29.9). Between the methods, detections were spatially correlated, although the estimates ... : Please refer to the manuscript for more information. The data has been prepared for loading in to software distance. ... Dataset Lepus timidus mountain hare DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
FOS Natural sciences |
spellingShingle |
FOS Natural sciences Bedson, Carlos Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ... |
topic_facet |
FOS Natural sciences |
description |
Surveying cryptic, nocturnal animals is logistically challenging. Consequently, density estimates may be imprecise and uncertain. Survey innovations mitigate ecological and observational difficulties contributing to estimation variance. Thus, comparisons of survey techniques are critical to evaluate estimates of abundance. We simultaneously compared three methods for observing mountain hare (Lepus timidus) using Distance sampling to estimate abundance. Daylight visual surveys achieved 41 detections, estimating density at 14.3 hares km-2 (95%CI 6.3–32.5) resulting in the lowest estimate and widest confidence interval. Night-time thermal imaging achieved 206 detections, estimating density at 12.1 hares km-2 (95%CI 7.6–19.4). Thermal imaging captured more observations at furthest distances, and detected larger group sizes. Camera traps achieved 3,705 night-time detections, estimating density at 22.6 hares km-2 (95%CI 17.1–29.9). Between the methods, detections were spatially correlated, although the estimates ... : Please refer to the manuscript for more information. The data has been prepared for loading in to software distance. ... |
format |
Dataset |
author |
Bedson, Carlos |
author_facet |
Bedson, Carlos |
author_sort |
Bedson, Carlos |
title |
Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ... |
title_short |
Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ... |
title_full |
Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ... |
title_fullStr |
Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ... |
title_full_unstemmed |
Estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ... |
title_sort |
estimating density of mountain hares using distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ... |
publisher |
Dryad |
publishDate |
2021 |
url |
https://dx.doi.org/10.5061/dryad.3r2280gg0 https://datadryad.org/stash/dataset/doi:10.5061/dryad.3r2280gg0 |
genre |
Lepus timidus mountain hare |
genre_facet |
Lepus timidus mountain hare |
op_relation |
https://doi.org/10.2981/wlb.00802 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.3r2280gg0 |
_version_ |
1789968234006446080 |