TY - JOUR
T1 - An automated barcode tracking system for behavioural studies in birds
AU - Alarcón-Nieto, Gustavo
AU - Graving, Jacob M.
AU - Klarevas-Irby, James A.
AU - Maldonado-Chaparro, Adriana A.
AU - Mueller, Inge
AU - Farine, Damien R.
N1 - Publisher Copyright:
© 2018 The Authors. Methods in Ecology and Evolution © 2018 British Ecological Society
PY - 2018/6
Y1 - 2018/6
N2 - 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. 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. 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. 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 fine-scale differences in behaviour.
AB - 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. 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. 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. 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 fine-scale differences in behaviour.
KW - animal behaviour
KW - automated tracking
KW - collective behaviour
KW - group living
KW - population ecology
KW - social interactions
UR - http://www.scopus.com/inward/record.url?scp=85048360709&partnerID=8YFLogxK
U2 - 10.1111/2041-210X.13005
DO - 10.1111/2041-210X.13005
M3 - Article
SN - 2041-210X
VL - 9
SP - 1536
EP - 1547
JO - Methods in Ecology and Evolution
JF - Methods in Ecology and Evolution
IS - 6
ER -