Theme- 1 依田班 Team YODA
Multiscale understanding of navigation in wild animals using bio-logging techniques
How do wild animals extract and process information for hierarchical navigation in their natural environments? In this project, we target wild birds and mammals that are particularly highly mobile, and measure the costs of behavior and information processing (e.g., time, risks, energy) and benefits of behavior (e.g., food, mates, habitat), so that we can clarify the behavioral diagram that supports hierarchical navigation.
To achieve this goal, we will develop a wearable χlogbot that will enable us to measure physiological and behavioral parameters in the field in cooperation with the A02 Cyber Team. We will also conduct field experiments using drones and perform integrated analyses of data obtained from environmental, behavioral, and physiological aspects. By modeling these data based on behavioral diagrams, we will understand the influence of external environments, and elucidate the physiological and behavioral mechanisms and adaptation that support hierarchical navigation, such as bird migration and collective decision-making.
In addition, using behavioral diagrams, we will work on issues of high social importance such as planning the installation of wind turbines concerning the migration of birds, and movement management of horses and other livestock.
A01-1 依田班 研究者
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Principal Investigator Ken Yoda Ken Yoda
Graduate School of Environmental Studies, Nagoya University Professor
- Research field
- ethology, ecology
- Research keywords
- bio-logging, birds, mammals, field work
- Laboratory
- http://yoda-ken.sakura.ne.jp/yoda_lab/English.html
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Co-Investigator Takashi Yamamoto Takashi Yamamoto
School of Veterinary Medicine, Azabu University Associate Professor
- Research field
- Animal Behavioural Ecology, Spatio-Temporal dynamic analysis, Environmental Adaptation
- Research keywords
- Behaviour, Biologging, Movements, Environmental analysis, Statistical modeling
- Laboratory
