Nesting attempts and success of Arctic-breeding geese can be derived with high precision from accelerometry and GPS-tracking

Abstract Sensors, such as accelerometers, in tracking devices allow for detailed bio-logging to understand animal behaviour, even in remote places where direct observation is difficult. To study breeding in birds remotely, one needs to understand how to recognise a breeding event from tracking data,...

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Published in:Animal Biotelemetry
Main Authors: Kees H. T. Schreven, Christian Stolz, Jesper Madsen, Bart A. Nolet
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2021
Subjects:
Online Access:https://doi.org/10.1186/s40317-021-00249-9
https://doaj.org/article/19103c2e54e34409837e58f63d09c573
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spelling ftdoajarticles:oai:doaj.org/article:19103c2e54e34409837e58f63d09c573 2023-05-15T13:29:56+02:00 Nesting attempts and success of Arctic-breeding geese can be derived with high precision from accelerometry and GPS-tracking Kees H. T. Schreven Christian Stolz Jesper Madsen Bart A. Nolet 2021-07-01T00:00:00Z https://doi.org/10.1186/s40317-021-00249-9 https://doaj.org/article/19103c2e54e34409837e58f63d09c573 EN eng BMC https://doi.org/10.1186/s40317-021-00249-9 https://doaj.org/toc/2050-3385 doi:10.1186/s40317-021-00249-9 2050-3385 https://doaj.org/article/19103c2e54e34409837e58f63d09c573 Animal Biotelemetry, Vol 9, Iss 1, Pp 1-13 (2021) Anser brachyrhynchus ODBA Incubation Nesting duration Brood Parental care Ecology QH540-549.5 Animal biochemistry QP501-801 article 2021 ftdoajarticles https://doi.org/10.1186/s40317-021-00249-9 2022-12-31T09:36:06Z Abstract Sensors, such as accelerometers, in tracking devices allow for detailed bio-logging to understand animal behaviour, even in remote places where direct observation is difficult. To study breeding in birds remotely, one needs to understand how to recognise a breeding event from tracking data, and ideally validate this by direct observation. We tagged 49 adult female pink-footed geese (Anser brachyrhynchus) with transmitter neckbands in Finland in spring of 2018 and 2019, and in Svalbard in summer 2018, and validated inferences from tracking by field observations of nesting sites and family status in 2018–2020 (54 spring–summer tracks). We estimated nesting locations by taking the median coordinates of GPS-fixes at which the goose was motionless (overall dynamic body acceleration, ODBA < 1) on days with a daily median ODBA < 1, which approached the real nesting locations closely (within 1.6–3.7 m, n = 6). The start of nesting was defined as the first day on which the goose spent > 75% of time within 50 m of the nest, because nest site attendances steeply increased within one day to above this threshold. Nesting duration (number of consecutive days with > 75% nest site attendance) ranged between 3 and 44 days (n = 28), but was 30–34 days in confirmed successful nests (n = 9). The prolonged nesting of 39–44 days (n = 3) suggested incubation on unhatchable egg(s). Nest losses before hatching time occurred mostly in day 3–10 and 23–29 of nesting, periods with an increased frequency of nest site recesses. As alternative method, allowing for non-simultaneous GPS and accelerometer data, we show that nesting days were classified with 98.6% success by two general characteristics of breeding: low body motion (daily median ODBA) and low geographic mobility (daily SD of latitude). Median coordinates on nesting days approached real nest sites closely (within 0.8–3.6 m, n = 6). When considering only geographic mobility (allowing for GPS data only) nesting locations were similarly accurate, but some short ... Article in Journal/Newspaper Anser brachyrhynchus Arctic Svalbard Directory of Open Access Journals: DOAJ Articles Arctic Svalbard Animal Biotelemetry 9 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Anser brachyrhynchus
ODBA
Incubation
Nesting duration
Brood
Parental care
Ecology
QH540-549.5
Animal biochemistry
QP501-801
spellingShingle Anser brachyrhynchus
ODBA
Incubation
Nesting duration
Brood
Parental care
Ecology
QH540-549.5
Animal biochemistry
QP501-801
Kees H. T. Schreven
Christian Stolz
Jesper Madsen
Bart A. Nolet
Nesting attempts and success of Arctic-breeding geese can be derived with high precision from accelerometry and GPS-tracking
topic_facet Anser brachyrhynchus
ODBA
Incubation
Nesting duration
Brood
Parental care
Ecology
QH540-549.5
Animal biochemistry
QP501-801
description Abstract Sensors, such as accelerometers, in tracking devices allow for detailed bio-logging to understand animal behaviour, even in remote places where direct observation is difficult. To study breeding in birds remotely, one needs to understand how to recognise a breeding event from tracking data, and ideally validate this by direct observation. We tagged 49 adult female pink-footed geese (Anser brachyrhynchus) with transmitter neckbands in Finland in spring of 2018 and 2019, and in Svalbard in summer 2018, and validated inferences from tracking by field observations of nesting sites and family status in 2018–2020 (54 spring–summer tracks). We estimated nesting locations by taking the median coordinates of GPS-fixes at which the goose was motionless (overall dynamic body acceleration, ODBA < 1) on days with a daily median ODBA < 1, which approached the real nesting locations closely (within 1.6–3.7 m, n = 6). The start of nesting was defined as the first day on which the goose spent > 75% of time within 50 m of the nest, because nest site attendances steeply increased within one day to above this threshold. Nesting duration (number of consecutive days with > 75% nest site attendance) ranged between 3 and 44 days (n = 28), but was 30–34 days in confirmed successful nests (n = 9). The prolonged nesting of 39–44 days (n = 3) suggested incubation on unhatchable egg(s). Nest losses before hatching time occurred mostly in day 3–10 and 23–29 of nesting, periods with an increased frequency of nest site recesses. As alternative method, allowing for non-simultaneous GPS and accelerometer data, we show that nesting days were classified with 98.6% success by two general characteristics of breeding: low body motion (daily median ODBA) and low geographic mobility (daily SD of latitude). Median coordinates on nesting days approached real nest sites closely (within 0.8–3.6 m, n = 6). When considering only geographic mobility (allowing for GPS data only) nesting locations were similarly accurate, but some short ...
format Article in Journal/Newspaper
author Kees H. T. Schreven
Christian Stolz
Jesper Madsen
Bart A. Nolet
author_facet Kees H. T. Schreven
Christian Stolz
Jesper Madsen
Bart A. Nolet
author_sort Kees H. T. Schreven
title Nesting attempts and success of Arctic-breeding geese can be derived with high precision from accelerometry and GPS-tracking
title_short Nesting attempts and success of Arctic-breeding geese can be derived with high precision from accelerometry and GPS-tracking
title_full Nesting attempts and success of Arctic-breeding geese can be derived with high precision from accelerometry and GPS-tracking
title_fullStr Nesting attempts and success of Arctic-breeding geese can be derived with high precision from accelerometry and GPS-tracking
title_full_unstemmed Nesting attempts and success of Arctic-breeding geese can be derived with high precision from accelerometry and GPS-tracking
title_sort nesting attempts and success of arctic-breeding geese can be derived with high precision from accelerometry and gps-tracking
publisher BMC
publishDate 2021
url https://doi.org/10.1186/s40317-021-00249-9
https://doaj.org/article/19103c2e54e34409837e58f63d09c573
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Anser brachyrhynchus
Arctic
Svalbard
genre_facet Anser brachyrhynchus
Arctic
Svalbard
op_source Animal Biotelemetry, Vol 9, Iss 1, Pp 1-13 (2021)
op_relation https://doi.org/10.1186/s40317-021-00249-9
https://doaj.org/toc/2050-3385
doi:10.1186/s40317-021-00249-9
2050-3385
https://doaj.org/article/19103c2e54e34409837e58f63d09c573
op_doi https://doi.org/10.1186/s40317-021-00249-9
container_title Animal Biotelemetry
container_volume 9
container_issue 1
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