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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Online Access: | https://doi.org/10.5061/dryad.24ch1 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::bd6bbe5455585804e21d8a19df682b61 2023-05-15T15:00:40+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. 2018-01-01 https://doi.org/10.5061/dryad.24ch1 undefined unknown http://dx.doi.org/10.5061/dryad.24ch1 https://dx.doi.org/10.5061/dryad.24ch1 lic_creative-commons oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:100401 oai:easy.dans.knaw.nl:easy-dataset:100401 10.5061/dryad.24ch1 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 Life sciences medicine and health care seabird Uria lomvia UAV drone Arctic envir geo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2018 fttriple https://doi.org/10.5061/dryad.24ch1 https://doi.org/10.5061/DRYAD.24CH1 2023-01-22T16:51:41Z 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 Unknown 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 |
Unknown |
op_collection_id |
fttriple |
language |
unknown |
topic |
Life sciences medicine and health care seabird Uria lomvia UAV drone Arctic envir geo |
spellingShingle |
Life sciences medicine and health care seabird Uria lomvia UAV drone Arctic envir geo 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 |
Life sciences medicine and health care seabird Uria lomvia UAV drone Arctic envir geo |
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://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_source |
oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:100401 oai:easy.dans.knaw.nl:easy-dataset:100401 10.5061/dryad.24ch1 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 |
op_relation |
http://dx.doi.org/10.5061/dryad.24ch1 https://dx.doi.org/10.5061/dryad.24ch1 |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.24ch1 https://doi.org/10.5061/DRYAD.24CH1 |
_version_ |
1766332746967285760 |