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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Bibliographic Details
Main Authors: Brisson-Curadeau, Émile, Bird, David, Burke, Chantelle, Fifield, David A., Pace, Paul, Sherley, Richard B., Elliott, Kyle H.
Format: Dataset
Language:unknown
Published: 2018
Subjects:
UAV
Online Access:https://zenodo.org/record/4949340
https://doi.org/10.5061/dryad.24ch1
id ftzenodo:oai:zenodo.org:4949340
record_format openpolar
spelling 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
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