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...

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Bibliographic Details
Main Author: Bedson, Carlos
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
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