2019
DOI: 10.1080/00063657.2020.1732862
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Light data from geolocation reveal patterns of nest visit frequency and suitable conditions for efficient nest site monitoring in Common SwiftsApus apus

Abstract: 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… Show more

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Cited by 4 publications
(2 citation statements)
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“…Since number of birds and total body mass in the nest are major determinants of normalV˙normalO2, we controlled for the number of parents present, from none to both adults at the nest, on nine of the 62 nights. We know from a previous study in the same colony [42] and other sites [27,28], that adults do not leave (or enter) the nest during darkness. Hence, we assumed that the number of birds did not vary during the calorimetric measurements.…”
Section: Methodsmentioning
confidence: 99%
“…Since number of birds and total body mass in the nest are major determinants of normalV˙normalO2, we controlled for the number of parents present, from none to both adults at the nest, on nine of the 62 nights. We know from a previous study in the same colony [42] and other sites [27,28], that adults do not leave (or enter) the nest during darkness. Hence, we assumed that the number of birds did not vary during the calorimetric measurements.…”
Section: Methodsmentioning
confidence: 99%
“…We recorded arrival dates as the first registration of birds detected by the antenna system. Additionally, we fixed an iButton ™ temperature logger (type DS1922L; accuracy ± 0.5 °C; Maxim Integrated ™ , USA) into the wall of each nest to measure nest temperature as a proxy for first use of the nest together with video surveillance using IR cameras (Conrad Electronics SE, Hirschau, Germany), and data from geolocators [49] to receive arrival dates. We investigated whether once or repeatedly tagging and/ or wing length and/or body mass have an effect on arrival date using linear regression models (relation weight and wing length to arrival) and a LMM with "year" as random effect to compare arrival of logger with non-logger birds.…”
Section: Arrival Datementioning
confidence: 99%