Kyoto University · Environmental Science
Professor Tamao Maeda's research lab specializes in behavioral ecology and animal social systems, with a focus on understanding complex multilevel societies in free-ranging animals, particularly feral horses. The lab integrates cutting-edge drone technology with individual-level behavioral data to study social structure, association patterns, and behavioral synchrony in natural settings. A key emphasis is on applying non-invasive methods—such as drone-based aerial imaging, fecal analysis, and stable isotope techniques—to investigate the impacts of invasive species and artificial resources on animal behavior and ecosystem dynamics. The lab also develops multi-agent-based models to simulate and test hypotheses about social coordination and group-level functioning in complex societies.
Figures are computed from collected data and may differ slightly.
The study of non-human multilevel societies can give us insights into how group-level relationships function and are maintained in a social system, but their mechanisms are still poorly understood. The aim of this study was to apply spatial association data obtained from drones to verify the presence of a multilevel structure in a feral horse society. We took aerial photos of individuals that appeared in pre-fixed areas and collected positional data. The threshold distance of the association was
It is important to unravel how invasive species impact native ecosystems in order to control them effectively. The presence of abundant exotic prey promotes population growth of invasive predators, thereby enhancing the predation pressure on native prey (hyper-predation). Not only the exotic prey but also feeding by humans is likely to cause "hyper-predation". However, the contribution of artificial resources to this was underestimated in previous studies. Here, we combined fecal and stable isot
Behavioural synchrony among individuals is essential for group-living organisms. The functioning of synchronization in a multilevel society, which is a nested assemblage of multiple social levels between many individuals, remains largely unknown. The aim of the present study was to build a model that explained the synchronization of activity in a multilevel society of feral horses. Multi-agent-based models were used based on four hypotheses: A) horses do not synchronize, B) horses synchronize wi
A bstract Behavioural synchrony among individuals is essential for group-living organisms. It is still largely unknown how synchronization functions in a multilevel society, which is a nested assemblage of multiple social levels between many individuals. Our aim was to build a model that explained the synchronization of activity in a multilevel society of feral horses. We used multi-agent based models based on four hypotheses: A) horses do not synchronize, B) horses synchronize with any individu
Unmanned aerial vehicles (drones) have recently been used in various behavioral ecology studies. However, their application has been limited to single groups, and most studies have not implemented individual identification. A multilevel society refers to a social structure in which small stable "core units" gather and make a larger, multiple-unit group. Here, we introduce recent applications of drone technology and individual identification to complex social structures involving multiple groups,
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