Fewer bat passes are detected during small, commercial drone flights
Abstract Advances in technological capabilities, operational simplicity and cost efficiency have promoted the rapid integration of unmanned aerial vehicles (UAVs) into ecological research, providing access to study taxa that are otherwise difficult to survey, such as bats. Many bat species are curre...
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2021-06-01
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Online Access: | https://doi.org/10.1038/s41598-021-90905-0 |
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doaj-22ee7bdf16544e8f9dc9a9e9cf729d4a2021-06-06T11:37:19ZengNature Publishing GroupScientific Reports2045-23222021-06-011111810.1038/s41598-021-90905-0Fewer bat passes are detected during small, commercial drone flightsGabrielle Ednie0David M. Bird1Kyle H. Elliott2Department of Natural Resource Science, McGill UniversityDepartment of Natural Resource Science, McGill UniversityDepartment of Natural Resource Science, McGill UniversityAbstract Advances in technological capabilities, operational simplicity and cost efficiency have promoted the rapid integration of unmanned aerial vehicles (UAVs) into ecological research, providing access to study taxa that are otherwise difficult to survey, such as bats. Many bat species are currently at risk, but accurately surveying populations is challenging for species that do not roost in large aggregations. Acoustic recorders attached to UAVs provide an opportunity to survey bats in challenging habitats. However, UAVs may alter bat behaviour, leading to avoidance of the UAV, reduced detection rates and inaccurate surveys. We evaluated the number of bat passes detected with and without the presence of a small, commercial UAV in open habitats. Only 22% of bat passes were recorded in the presence of the UAV (0.23 ± 0.09 passes/min) compared to control periods without the UAV (1.03 ± 0.17 passes/min), but the effect was smaller on the big brown bat/silver-haired bat (Eptesicus fuscus/Lasionycteris noctivagans) acoustic complex. Noise interference from the UAV also reduced on-board bat detection rates. We conclude that acoustic records attached to UAVs may inaccurately survey bat populations due to low and variable detection rates by such recorders.https://doi.org/10.1038/s41598-021-90905-0 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Gabrielle Ednie David M. Bird Kyle H. Elliott |
spellingShingle |
Gabrielle Ednie David M. Bird Kyle H. Elliott Fewer bat passes are detected during small, commercial drone flights Scientific Reports |
author_facet |
Gabrielle Ednie David M. Bird Kyle H. Elliott |
author_sort |
Gabrielle Ednie |
title |
Fewer bat passes are detected during small, commercial drone flights |
title_short |
Fewer bat passes are detected during small, commercial drone flights |
title_full |
Fewer bat passes are detected during small, commercial drone flights |
title_fullStr |
Fewer bat passes are detected during small, commercial drone flights |
title_full_unstemmed |
Fewer bat passes are detected during small, commercial drone flights |
title_sort |
fewer bat passes are detected during small, commercial drone flights |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-06-01 |
description |
Abstract Advances in technological capabilities, operational simplicity and cost efficiency have promoted the rapid integration of unmanned aerial vehicles (UAVs) into ecological research, providing access to study taxa that are otherwise difficult to survey, such as bats. Many bat species are currently at risk, but accurately surveying populations is challenging for species that do not roost in large aggregations. Acoustic recorders attached to UAVs provide an opportunity to survey bats in challenging habitats. However, UAVs may alter bat behaviour, leading to avoidance of the UAV, reduced detection rates and inaccurate surveys. We evaluated the number of bat passes detected with and without the presence of a small, commercial UAV in open habitats. Only 22% of bat passes were recorded in the presence of the UAV (0.23 ± 0.09 passes/min) compared to control periods without the UAV (1.03 ± 0.17 passes/min), but the effect was smaller on the big brown bat/silver-haired bat (Eptesicus fuscus/Lasionycteris noctivagans) acoustic complex. Noise interference from the UAV also reduced on-board bat detection rates. We conclude that acoustic records attached to UAVs may inaccurately survey bat populations due to low and variable detection rates by such recorders. |
url |
https://doi.org/10.1038/s41598-021-90905-0 |
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