Data from: Seabird species vary in behavioural response to drone census
Unmanned aerial vehicles (UAVs) provide an opportunity to rapidly census wildlife in remote areas while removing some of the hazards. However, wildlife may respond negatively to the UAVs, thereby skewing counts. We surveyed four species of Arctic cliff-nesting seabirds (glaucous gull Larus hyperbore...
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ftzenodo:oai:zenodo.org:4949340 2023-05-15T15:13:02+02:00 Data from: Seabird species vary in behavioural response to drone census Brisson-Curadeau, Émile Bird, David Burke, Chantelle Fifield, David A. Pace, Paul Sherley, Richard B. Elliott, Kyle H. 2018-01-09 https://zenodo.org/record/4949340 https://doi.org/10.5061/dryad.24ch1 unknown doi:10.1038/s41598-017-18202-3 https://zenodo.org/communities/dryad https://zenodo.org/record/4949340 https://doi.org/10.5061/dryad.24ch1 oai:zenodo.org:4949340 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode Uria lomvia UAV drone info:eu-repo/semantics/other dataset 2018 ftzenodo https://doi.org/10.5061/dryad.24ch110.1038/s41598-017-18202-3 2023-03-11T02:13:34Z Unmanned aerial vehicles (UAVs) provide an opportunity to rapidly census wildlife in remote areas while removing some of the hazards. However, wildlife may respond negatively to the UAVs, thereby skewing counts. We surveyed four species of Arctic cliff-nesting seabirds (glaucous gull Larus hyperboreus, Iceland gull Larus glaucoides, common murre Uria aalge and thick-billed murre Uria lomvia) using a UAV and compared censusing techniques to ground photography. An average of 8.5% of murres flew off in response to the UAV, but >99% of those birds were non-breeders. We were unable to detect any impact of the UAV on breeding success of murres, except at a site where aerial predators were abundant and several birds lost their eggs to predators following UAV flights. Furthermore, we found little evidence for habituation by murres to the UAV. Most gulls flew off in response to the UAV, but returned to the nest within five minutes. Counts of gull nests and adults were similar between UAV and ground photography, however the UAV detected up to 52.4% more chicks because chicks were camouflaged and invisible to ground observers. UAVs provide a less hazardous and potentially more accurate method for surveying wildlife. We provide some simple recommendations for their use. Counts and flushing of Thick-billed murresSheets 1: Thick-billed murres counts in various plots at Digges Island (with UAV and with ground camera). NA indicate days when we could not count murres in a plot due to various reasons. ///// Sheets 2: Thick-billed murre flushing pourcentage in a plot in reaction to an approaching drone at Coats Island. See the related article for details. Dataset Arctic Coats Island Common Murre Glaucous Gull Iceland Larus hyperboreus thick-billed murre Uria aalge Uria lomvia uria Zenodo Arctic Coats Island ENVELOPE(-82.974,-82.974,62.620,62.620) Digges ENVELOPE(-94.130,-94.130,58.540,58.540) |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
unknown |
topic |
Uria lomvia UAV drone |
spellingShingle |
Uria lomvia UAV drone Brisson-Curadeau, Émile Bird, David Burke, Chantelle Fifield, David A. Pace, Paul Sherley, Richard B. Elliott, Kyle H. Data from: Seabird species vary in behavioural response to drone census |
topic_facet |
Uria lomvia UAV drone |
description |
Unmanned aerial vehicles (UAVs) provide an opportunity to rapidly census wildlife in remote areas while removing some of the hazards. However, wildlife may respond negatively to the UAVs, thereby skewing counts. We surveyed four species of Arctic cliff-nesting seabirds (glaucous gull Larus hyperboreus, Iceland gull Larus glaucoides, common murre Uria aalge and thick-billed murre Uria lomvia) using a UAV and compared censusing techniques to ground photography. An average of 8.5% of murres flew off in response to the UAV, but >99% of those birds were non-breeders. We were unable to detect any impact of the UAV on breeding success of murres, except at a site where aerial predators were abundant and several birds lost their eggs to predators following UAV flights. Furthermore, we found little evidence for habituation by murres to the UAV. Most gulls flew off in response to the UAV, but returned to the nest within five minutes. Counts of gull nests and adults were similar between UAV and ground photography, however the UAV detected up to 52.4% more chicks because chicks were camouflaged and invisible to ground observers. UAVs provide a less hazardous and potentially more accurate method for surveying wildlife. We provide some simple recommendations for their use. Counts and flushing of Thick-billed murresSheets 1: Thick-billed murres counts in various plots at Digges Island (with UAV and with ground camera). NA indicate days when we could not count murres in a plot due to various reasons. ///// Sheets 2: Thick-billed murre flushing pourcentage in a plot in reaction to an approaching drone at Coats Island. See the related article for details. |
format |
Dataset |
author |
Brisson-Curadeau, Émile Bird, David Burke, Chantelle Fifield, David A. Pace, Paul Sherley, Richard B. Elliott, Kyle H. |
author_facet |
Brisson-Curadeau, Émile Bird, David Burke, Chantelle Fifield, David A. Pace, Paul Sherley, Richard B. Elliott, Kyle H. |
author_sort |
Brisson-Curadeau, Émile |
title |
Data from: Seabird species vary in behavioural response to drone census |
title_short |
Data from: Seabird species vary in behavioural response to drone census |
title_full |
Data from: Seabird species vary in behavioural response to drone census |
title_fullStr |
Data from: Seabird species vary in behavioural response to drone census |
title_full_unstemmed |
Data from: Seabird species vary in behavioural response to drone census |
title_sort |
data from: seabird species vary in behavioural response to drone census |
publishDate |
2018 |
url |
https://zenodo.org/record/4949340 https://doi.org/10.5061/dryad.24ch1 |
long_lat |
ENVELOPE(-82.974,-82.974,62.620,62.620) ENVELOPE(-94.130,-94.130,58.540,58.540) |
geographic |
Arctic Coats Island Digges |
geographic_facet |
Arctic Coats Island Digges |
genre |
Arctic Coats Island Common Murre Glaucous Gull Iceland Larus hyperboreus thick-billed murre Uria aalge Uria lomvia uria |
genre_facet |
Arctic Coats Island Common Murre Glaucous Gull Iceland Larus hyperboreus thick-billed murre Uria aalge Uria lomvia uria |
op_relation |
doi:10.1038/s41598-017-18202-3 https://zenodo.org/communities/dryad https://zenodo.org/record/4949340 https://doi.org/10.5061/dryad.24ch1 oai:zenodo.org:4949340 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.24ch110.1038/s41598-017-18202-3 |
_version_ |
1766343631899197440 |