An automated barcode tracking system for behavioural studies in birds

dc.contributor.authorAlarcon Nieto, Gustavo
dc.contributor.authorGraving, Jacob M.
dc.contributor.authorKlarevas-Irby, James A.
dc.contributor.authorMaldonado Chaparro, Adriana A.
dc.contributor.authorMueller, Inge
dc.contributor.authorFarine, Damien R.
dc.date.accessioned2018-07-11T09:01:41Z
dc.date.available2018-07-11T09:01:41Z
dc.date.issued2018eng
dc.description.abstract1. Recent advances in technology allow researchers to automate the measurement of animal behaviour. These methods have multiple advantages over direct observations and manual data input as they reduce bias related to human perception and fatigue, and deliver more extensive and complete datasets that enhance statistical power. One major challenge that automation can overcome is the observation of many individuals at once, enabling whole-group or whole-population tracking.
2. We provide a detailed description of an automated system for tracking birds. Our system uses printed, machine-readable codes mounted on backpacks. This simple, yet robust, tagging system can be used simultaneously on multiple individuals to provide data on bird identity, position and directionality. Furthermore, because the backpacks are printed on paper, they are very lightweight. We show that our method is reliable, relatively easy to implement and monitor, and with proper handling, has proved to be safe for the birds over long periods of time.
3. We describe the deployment procedure of this system for a captive population of songbirds. We test different camera options, and discuss their advantages and disadvantages. In particular, we highlight how using single-board computers to control the frequency and duration of image capture makes this system affordable and adaptable to a range of study systems and research questions.
4. The ability to automate the measurement of individual positions has the potential to significantly increase the power of both observational and experimental studies. The system can capture both detailed interactions (using video recordings) and repeated observations (e.g. once per second for the entire day) of individuals over long timescales (months or potentially years). This approach opens the door to tracking life-long relationships among individuals, while also capturing finescale differences in behaviour.
eng
dc.description.versionpublishedeng
dc.identifier.doi10.1111/2041-210X.13005eng
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/42836
dc.language.isoengeng
dc.relation.uriSuppData Raw tracking data files, including the distance from the food patch, that are used for the example data analyses:
https://doi.org/10.17617/3.19
dc.subjectanimal behaviour, automated tracking, collective behaviour, group living, population ecology, social interactionseng
dc.subject.ddc570eng
dc.titleAn automated barcode tracking system for behavioural studies in birdseng
dc.typeJOURNAL_ARTICLEeng
dspace.entity.typePublication
kops.citation.bibtex
@article{AlarconNieto2018autom-42836,
  title={An automated barcode tracking system for behavioural studies in birds},
  year={2018},
  doi={10.1111/2041-210X.13005},
  number={6},
  volume={9},
  issn={2041-2096},
  journal={Methods in Ecology and Evolution},
  pages={1536--1547},
  author={Alarcon Nieto, Gustavo and Graving, Jacob M. and Klarevas-Irby, James A. and Maldonado Chaparro, Adriana A. and Mueller, Inge and Farine, Damien R.}
}
kops.citation.iso690ALARCON NIETO, Gustavo, Jacob M. GRAVING, James A. KLAREVAS-IRBY, Adriana A. MALDONADO CHAPARRO, Inge MUELLER, Damien R. FARINE, 2018. An automated barcode tracking system for behavioural studies in birds. In: Methods in Ecology and Evolution. 2018, 9(6), S. 1536-1547. ISSN 2041-2096. eISSN 2041-210X. Verfügbar unter: doi: 10.1111/2041-210X.13005deu
kops.citation.iso690ALARCON NIETO, Gustavo, Jacob M. GRAVING, James A. KLAREVAS-IRBY, Adriana A. MALDONADO CHAPARRO, Inge MUELLER, Damien R. FARINE, 2018. An automated barcode tracking system for behavioural studies in birds. In: Methods in Ecology and Evolution. 2018, 9(6), pp. 1536-1547. ISSN 2041-2096. eISSN 2041-210X. Available under: doi: 10.1111/2041-210X.13005eng
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