Seabird species vary in behavioural response to drone census

Abstract 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...

Full description

Bibliographic Details
Published in:Scientific Reports
Main Authors: David F. Bird, Richard B. Sherley, Chantelle M. Burke, David A. Fifield, Paul Pace, Émile Brisson-Curadeau, Kyle H. Elliott
Format: Article in Journal/Newspaper
Language:unknown
Published: Springer Science and Business Media LLC 2017
Subjects:
Online Access:http://www.nature.com/articles/s41598-017-18202-3.pdf
https://www.nature.com/articles/s41598-017-18202-3.pdf
https://ore.exeter.ac.uk/repository/bitstream/10871/32526/1/Brisson-Curadeau_et_al-2017-Scientific_Reports.pdf
https://doi.org/10.1038/s41598-017-18202-3
https://doaj.org/article/07d7ebd1a9f8488e8b2c7c5abe792aaf
http://europepmc.org/articles/PMC5738335
http://www.nature.com/articles/s41598-017-18202-3
https://www.ncbi.nlm.nih.gov/pubmed/29263372
https://ui.adsabs.harvard.edu/abs/2017NatSR.717884B/abstract
https://ore.exeter.ac.uk/repository/handle/10871/32526
https://doi.org/10.1038%2Fs41598-017-18202-3
https://academic.microsoft.com/#/detail/2771950763
id fttriple:oai:gotriple.eu:50|dedup_wf_001::666401c400a424ac9e890da8b8d034ba
record_format openpolar
spelling fttriple:oai:gotriple.eu:50|dedup_wf_001::666401c400a424ac9e890da8b8d034ba 2023-05-15T15:07:21+02:00 Seabird species vary in behavioural response to drone census David F. Bird Richard B. Sherley Chantelle M. Burke David A. Fifield Paul Pace Émile Brisson-Curadeau Kyle H. Elliott 2017-12-20 http://www.nature.com/articles/s41598-017-18202-3.pdf https://www.nature.com/articles/s41598-017-18202-3.pdf https://ore.exeter.ac.uk/repository/bitstream/10871/32526/1/Brisson-Curadeau_et_al-2017-Scientific_Reports.pdf https://doi.org/10.1038/s41598-017-18202-3 https://doaj.org/article/07d7ebd1a9f8488e8b2c7c5abe792aaf http://europepmc.org/articles/PMC5738335 http://www.nature.com/articles/s41598-017-18202-3 https://www.ncbi.nlm.nih.gov/pubmed/29263372 https://ui.adsabs.harvard.edu/abs/2017NatSR.717884B/abstract https://ore.exeter.ac.uk/repository/handle/10871/32526 https://doi.org/10.1038%2Fs41598-017-18202-3 https://academic.microsoft.com/#/detail/2771950763 undefined unknown Springer Science and Business Media LLC http://www.nature.com/articles/s41598-017-18202-3.pdf https://www.nature.com/articles/s41598-017-18202-3.pdf https://ore.exeter.ac.uk/repository/bitstream/10871/32526/1/Brisson-Curadeau_et_al-2017-Scientific_Reports.pdf http://dx.doi.org/10.1038/s41598-017-18202-3 https://dx.doi.org/10.1038/s41598-017-18202-3 https://doaj.org/article/07d7ebd1a9f8488e8b2c7c5abe792aaf http://europepmc.org/articles/PMC5738335 http://www.nature.com/articles/s41598-017-18202-3 https://www.ncbi.nlm.nih.gov/pubmed/29263372 https://ui.adsabs.harvard.edu/abs/2017NatSR.717884B/abstract https://ore.exeter.ac.uk/repository/handle/10871/32526 https://doi.org/10.1038%2Fs41598-017-18202-3 https://academic.microsoft.com/#/detail/2771950763 lic_creative-commons 10.1038/s41598-017-18202-3 29263372 oai:doaj.org/article:07d7ebd1a9f8488e8b2c7c5abe792aaf oai:pubmedcentral.nih.gov:5738335 18202 2771950763 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|openaire____::55045bd2a65019fd8e6741a755395c8c 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c 10|driver______::bee53aa31dc2cbb538c10c2b65fa5824 10|doajarticles::70703810b20723fe33cba6ffd7128212 10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 10|openaire____::8ac8380272269217cb09a928c8caa993 10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a 10|openaire____::806360c771262b4d6770e7cdf04b5c5a Article Multidisciplinary envir manag Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2017 fttriple https://doi.org/10.1038/s41598-017-18202-3 2023-01-22T16:59:20Z Abstract 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. Article in Journal/Newspaper Arctic Common Murre Glaucous Gull Iceland Larus hyperboreus thick-billed murre Uria aalge Uria lomvia uria Unknown Arctic Scientific Reports 7 1
institution Open Polar
collection Unknown
op_collection_id fttriple
language unknown
topic Article
Multidisciplinary
envir
manag
spellingShingle Article
Multidisciplinary
envir
manag
David F. Bird
Richard B. Sherley
Chantelle M. Burke
David A. Fifield
Paul Pace
Émile Brisson-Curadeau
Kyle H. Elliott
Seabird species vary in behavioural response to drone census
topic_facet Article
Multidisciplinary
envir
manag
description Abstract 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.
format Article in Journal/Newspaper
author David F. Bird
Richard B. Sherley
Chantelle M. Burke
David A. Fifield
Paul Pace
Émile Brisson-Curadeau
Kyle H. Elliott
author_facet David F. Bird
Richard B. Sherley
Chantelle M. Burke
David A. Fifield
Paul Pace
Émile Brisson-Curadeau
Kyle H. Elliott
author_sort David F. Bird
title Seabird species vary in behavioural response to drone census
title_short Seabird species vary in behavioural response to drone census
title_full Seabird species vary in behavioural response to drone census
title_fullStr Seabird species vary in behavioural response to drone census
title_full_unstemmed Seabird species vary in behavioural response to drone census
title_sort seabird species vary in behavioural response to drone census
publisher Springer Science and Business Media LLC
publishDate 2017
url http://www.nature.com/articles/s41598-017-18202-3.pdf
https://www.nature.com/articles/s41598-017-18202-3.pdf
https://ore.exeter.ac.uk/repository/bitstream/10871/32526/1/Brisson-Curadeau_et_al-2017-Scientific_Reports.pdf
https://doi.org/10.1038/s41598-017-18202-3
https://doaj.org/article/07d7ebd1a9f8488e8b2c7c5abe792aaf
http://europepmc.org/articles/PMC5738335
http://www.nature.com/articles/s41598-017-18202-3
https://www.ncbi.nlm.nih.gov/pubmed/29263372
https://ui.adsabs.harvard.edu/abs/2017NatSR.717884B/abstract
https://ore.exeter.ac.uk/repository/handle/10871/32526
https://doi.org/10.1038%2Fs41598-017-18202-3
https://academic.microsoft.com/#/detail/2771950763
geographic Arctic
geographic_facet Arctic
genre Arctic
Common Murre
Glaucous Gull
Iceland
Larus hyperboreus
thick-billed murre
Uria aalge
Uria lomvia
uria
genre_facet Arctic
Common Murre
Glaucous Gull
Iceland
Larus hyperboreus
thick-billed murre
Uria aalge
Uria lomvia
uria
op_source 10.1038/s41598-017-18202-3
29263372
oai:doaj.org/article:07d7ebd1a9f8488e8b2c7c5abe792aaf
oai:pubmedcentral.nih.gov:5738335
18202
2771950763
10|openaire____::9e3be59865b2c1c335d32dae2fe7b254
10|openaire____::55045bd2a65019fd8e6741a755395c8c
10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c
10|driver______::bee53aa31dc2cbb538c10c2b65fa5824
10|doajarticles::70703810b20723fe33cba6ffd7128212
10|opendoar____::eda80a3d5b344bc40f3bc04f65b7a357
10|openaire____::081b82f96300b6a6e3d282bad31cb6e2
10|openaire____::8ac8380272269217cb09a928c8caa993
10|openaire____::5f532a3fc4f1ea403f37070f59a7a53a
10|openaire____::806360c771262b4d6770e7cdf04b5c5a
op_relation http://www.nature.com/articles/s41598-017-18202-3.pdf
https://www.nature.com/articles/s41598-017-18202-3.pdf
https://ore.exeter.ac.uk/repository/bitstream/10871/32526/1/Brisson-Curadeau_et_al-2017-Scientific_Reports.pdf
http://dx.doi.org/10.1038/s41598-017-18202-3
https://dx.doi.org/10.1038/s41598-017-18202-3
https://doaj.org/article/07d7ebd1a9f8488e8b2c7c5abe792aaf
http://europepmc.org/articles/PMC5738335
http://www.nature.com/articles/s41598-017-18202-3
https://www.ncbi.nlm.nih.gov/pubmed/29263372
https://ui.adsabs.harvard.edu/abs/2017NatSR.717884B/abstract
https://ore.exeter.ac.uk/repository/handle/10871/32526
https://doi.org/10.1038%2Fs41598-017-18202-3
https://academic.microsoft.com/#/detail/2771950763
op_rights lic_creative-commons
op_doi https://doi.org/10.1038/s41598-017-18202-3
container_title Scientific Reports
container_volume 7
container_issue 1
_version_ 1766338875214528512