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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Main Authors: Schaub, Tonio, Wellbrock, Arndt H. J., Rozman, Jan, Witte, Klaudia
Format: Dataset
Language:unknown
Published: Taylor & Francis 2020
Subjects:
Online Access: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
id ftdatacite:10.6084/m9.figshare.11961618.v1
record_format openpolar
spelling 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
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