Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts Apus apus
Capsule: We developed a protocol for efficient monitoring of potential Common Swift Apus apus nest sites which considers variation in nest visit frequency across the breeding season and in relation to time of day and weather. Aims: To investigate patterns of nest visit frequency in Common Swifts in...
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Taylor & Francis
2020
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ftdatacite:10.6084/m9.figshare.11961618.v1 2023-05-15T14:17:14+02:00 Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts Apus apus Schaub, Tonio Wellbrock, Arndt H. J. Rozman, Jan Witte, Klaudia 2020 https://dx.doi.org/10.6084/m9.figshare.11961618.v1 https://tandf.figshare.com/articles/Light_data_from_geolocation_reveal_patterns_of_nest_visit_frequency_and_suitable_conditions_for_efficient_nest_site_monitoring_in_Common_Swifts_i_Apus_apus_i_/11961618/1 unknown Taylor & Francis https://dx.doi.org/10.1080/00063657.2020.1732862 https://dx.doi.org/10.6084/m9.figshare.11961618 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Neuroscience Evolutionary Biology FOS Biological sciences Ecology 69999 Biological Sciences not elsewhere classified 110309 Infectious Diseases FOS Health sciences dataset Dataset 2020 ftdatacite https://doi.org/10.6084/m9.figshare.11961618.v1 https://doi.org/10.1080/00063657.2020.1732862 https://doi.org/10.6084/m9.figshare.11961618 2021-11-05T12:55:41Z Capsule: We developed a protocol for efficient monitoring of potential Common Swift Apus apus nest sites which considers variation in nest visit frequency across the breeding season and in relation to time of day and weather. Aims: To investigate patterns of nest visit frequency in Common Swifts in order to improve the efficiency and reliability of the monitoring of nest sites threatened by building renovations. Methods: We derived information on nest attendance from light data recorded by geolocators from ten adult Common Swifts during three breeding seasons ( n = 686 individual sampling days) and analysed how nest visit frequency varied across the breeding season and in relation to time of day and weather. Results: The mean nest visit frequency was 5.63 visits per bird per day (0.32 visits per hour of daylight). The daily number of visits was highest at the beginning of July during chick-rearing. Moreover, it was positively correlated with temperature and negatively correlated with rainfall and wind speed. Nest visit frequency showed a distinct peak around sunset, while also being relatively high in the morning and around noon. Conclusion: We recommend monitoring potential Common Swift nest sites in Central Europe between the end of June and mid-July during good weather between 0.50 and 7.75 h after sunrise or between 3.00 h before sunset and sunset, when observation bouts of 0.5–2.0 h provide an encounter probability greater than 90%. Our study shows that repurposing geolocator light data – usually used to study bird migration – for investigating nest attendance in cavity-breeding birds can provide important information for bird conservation. Dataset Apus apus DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Neuroscience Evolutionary Biology FOS Biological sciences Ecology 69999 Biological Sciences not elsewhere classified 110309 Infectious Diseases FOS Health sciences |
spellingShingle |
Neuroscience Evolutionary Biology FOS Biological sciences Ecology 69999 Biological Sciences not elsewhere classified 110309 Infectious Diseases FOS Health sciences Schaub, Tonio Wellbrock, Arndt H. J. Rozman, Jan Witte, Klaudia Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts Apus apus |
topic_facet |
Neuroscience Evolutionary Biology FOS Biological sciences Ecology 69999 Biological Sciences not elsewhere classified 110309 Infectious Diseases FOS Health sciences |
description |
Capsule: We developed a protocol for efficient monitoring of potential Common Swift Apus apus nest sites which considers variation in nest visit frequency across the breeding season and in relation to time of day and weather. Aims: To investigate patterns of nest visit frequency in Common Swifts in order to improve the efficiency and reliability of the monitoring of nest sites threatened by building renovations. Methods: We derived information on nest attendance from light data recorded by geolocators from ten adult Common Swifts during three breeding seasons ( n = 686 individual sampling days) and analysed how nest visit frequency varied across the breeding season and in relation to time of day and weather. Results: The mean nest visit frequency was 5.63 visits per bird per day (0.32 visits per hour of daylight). The daily number of visits was highest at the beginning of July during chick-rearing. Moreover, it was positively correlated with temperature and negatively correlated with rainfall and wind speed. Nest visit frequency showed a distinct peak around sunset, while also being relatively high in the morning and around noon. Conclusion: We recommend monitoring potential Common Swift nest sites in Central Europe between the end of June and mid-July during good weather between 0.50 and 7.75 h after sunrise or between 3.00 h before sunset and sunset, when observation bouts of 0.5–2.0 h provide an encounter probability greater than 90%. Our study shows that repurposing geolocator light data – usually used to study bird migration – for investigating nest attendance in cavity-breeding birds can provide important information for bird conservation. |
format |
Dataset |
author |
Schaub, Tonio Wellbrock, Arndt H. J. Rozman, Jan Witte, Klaudia |
author_facet |
Schaub, Tonio Wellbrock, Arndt H. J. Rozman, Jan Witte, Klaudia |
author_sort |
Schaub, Tonio |
title |
Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts Apus apus |
title_short |
Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts Apus apus |
title_full |
Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts Apus apus |
title_fullStr |
Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts Apus apus |
title_full_unstemmed |
Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common Swifts Apus apus |
title_sort |
light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in common swifts apus apus |
publisher |
Taylor & Francis |
publishDate |
2020 |
url |
https://dx.doi.org/10.6084/m9.figshare.11961618.v1 https://tandf.figshare.com/articles/Light_data_from_geolocation_reveal_patterns_of_nest_visit_frequency_and_suitable_conditions_for_efficient_nest_site_monitoring_in_Common_Swifts_i_Apus_apus_i_/11961618/1 |
genre |
Apus apus |
genre_facet |
Apus apus |
op_relation |
https://dx.doi.org/10.1080/00063657.2020.1732862 https://dx.doi.org/10.6084/m9.figshare.11961618 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.11961618.v1 https://doi.org/10.1080/00063657.2020.1732862 https://doi.org/10.6084/m9.figshare.11961618 |
_version_ |
1766289125304958976 |