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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Published in:Wildlife Biology
Main Authors: Bedson, Carlos P.E., Thomas, Lowri, Wheeler, Phillip M., Reid, Neil, Harris, W. Edwin, Lloyd, Huw, Mallon, David, Preziosi, Richard
Format: Article in Journal/Newspaper
Language:English
Published: 2021
Subjects:
Online Access:https://pure.qub.ac.uk/en/publications/b1c9f09c-3145-4195-9bd1-6c03ee7a356a
https://doi.org/10.2981/wlb.00802
https://pureadmin.qub.ac.uk/ws/files/282407012/wlb.00802_1_.pdf
id ftqueensubelpubl:oai:pure.qub.ac.uk/portal:publications/b1c9f09c-3145-4195-9bd1-6c03ee7a356a
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spelling ftqueensubelpubl:oai:pure.qub.ac.uk/portal:publications/b1c9f09c-3145-4195-9bd1-6c03ee7a356a 2024-01-28T10:07:07+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 P.E. Thomas, Lowri Wheeler, Phillip M. Reid, Neil Harris, W. Edwin Lloyd, Huw Mallon, David Preziosi, Richard 2021-07-05 application/pdf https://pure.qub.ac.uk/en/publications/b1c9f09c-3145-4195-9bd1-6c03ee7a356a https://doi.org/10.2981/wlb.00802 https://pureadmin.qub.ac.uk/ws/files/282407012/wlb.00802_1_.pdf eng eng info:eu-repo/semantics/openAccess Bedson , C P E , Thomas , L , Wheeler , P M , Reid , N , Harris , W E , Lloyd , H , Mallon , D & Preziosi , R 2021 , ' Estimating density of mountain hares using Distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ' , Wildlife Biology , vol. 2021 , no. 3 . https://doi.org/10.2981/wlb.00802 Cryptic animals Uplands Survey methods Population monitoring Distance Sampling camera trap Thermal imager /dk/atira/pure/sustainabledevelopmentgoals/life_on_land SDG 15 - Life on Land article 2021 ftqueensubelpubl https://doi.org/10.2981/wlb.00802 2024-01-04T23:21:57Z 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 3705 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 of density varied. Our results suggest that daylight visual surveys tended to underestimate density, failing to reflect nocturnal activity. Thermal imaging captured nocturnal activity, providing a higher detection rate, but required fine weather. Camera traps captured nocturnal activity, and operated 24/7 throughout harsh weather, but needed careful consideration of empirical assumptions. We discuss the merits and limitations of each method with respect to the estimation of population density in the field. Article in Journal/Newspaper Lepus timidus mountain hare Queen's University Belfast Research Portal Wildlife Biology 2021 3
institution Open Polar
collection Queen's University Belfast Research Portal
op_collection_id ftqueensubelpubl
language English
topic Cryptic animals
Uplands
Survey methods
Population monitoring
Distance Sampling
camera trap
Thermal imager
/dk/atira/pure/sustainabledevelopmentgoals/life_on_land
SDG 15 - Life on Land
spellingShingle Cryptic animals
Uplands
Survey methods
Population monitoring
Distance Sampling
camera trap
Thermal imager
/dk/atira/pure/sustainabledevelopmentgoals/life_on_land
SDG 15 - Life on Land
Bedson, Carlos P.E.
Thomas, Lowri
Wheeler, Phillip M.
Reid, Neil
Harris, W. Edwin
Lloyd, Huw
Mallon, David
Preziosi, Richard
Estimating density of mountain hares using Distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps
topic_facet Cryptic animals
Uplands
Survey methods
Population monitoring
Distance Sampling
camera trap
Thermal imager
/dk/atira/pure/sustainabledevelopmentgoals/life_on_land
SDG 15 - Life on Land
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 3705 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 of density varied. Our results suggest that daylight visual surveys tended to underestimate density, failing to reflect nocturnal activity. Thermal imaging captured nocturnal activity, providing a higher detection rate, but required fine weather. Camera traps captured nocturnal activity, and operated 24/7 throughout harsh weather, but needed careful consideration of empirical assumptions. We discuss the merits and limitations of each method with respect to the estimation of population density in the field.
format Article in Journal/Newspaper
author Bedson, Carlos P.E.
Thomas, Lowri
Wheeler, Phillip M.
Reid, Neil
Harris, W. Edwin
Lloyd, Huw
Mallon, David
Preziosi, Richard
author_facet Bedson, Carlos P.E.
Thomas, Lowri
Wheeler, Phillip M.
Reid, Neil
Harris, W. Edwin
Lloyd, Huw
Mallon, David
Preziosi, Richard
author_sort Bedson, Carlos P.E.
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
publishDate 2021
url https://pure.qub.ac.uk/en/publications/b1c9f09c-3145-4195-9bd1-6c03ee7a356a
https://doi.org/10.2981/wlb.00802
https://pureadmin.qub.ac.uk/ws/files/282407012/wlb.00802_1_.pdf
genre Lepus timidus
mountain hare
genre_facet Lepus timidus
mountain hare
op_source Bedson , C P E , Thomas , L , Wheeler , P M , Reid , N , Harris , W E , Lloyd , H , Mallon , D & Preziosi , R 2021 , ' Estimating density of mountain hares using Distance sampling: a comparison of daylight visual surveys, night-time thermal imaging and camera traps ' , Wildlife Biology , vol. 2021 , no. 3 . https://doi.org/10.2981/wlb.00802
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.2981/wlb.00802
container_title Wildlife Biology
container_volume 2021
container_issue 3
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