Aerial drone observations identified a multilevel society in feral horses.
- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
The research involves the use of drone technology to investigate and understand the multilevel society structure of feral horses.
Research Purpose
The primary aim of this investigation was to discover the existence of a multilevel society in a group of feral horses using new technology – drones. The researchers aimed to delve into the nuances of non-human multilevel societies, such as that of feral horses, to gain insights into their social structuring, behavioral patterns, and relationships.
Research Method
- The researchers used drones to take aerial photos of the feral horses in pre-determined areas. The ability to observe from above provided a broader, non-intrusive perspective that is not possible to achieve with traditional ground level observation methods.
- Focusing on the proximity between the horses, they collected data on their positional attributes. They used the distance between the horses to create thresholds for defining associations.
Findings
- The collected data inferred a bimodal distribution of association rates among the horses, indicating the existence of smaller social units within the larger group.
- Smaller social units (or “units”) were found to exist within larger social groups (or “herds”). The researchers discovered that the distance between units was significantly less than expected in randomly replaced data, suggesting deliberate maintenance by the horses.
- Interestingly, the research found that these herds had a specific order. Larger mixed-sex units occupied the central positions while smaller mix-sex units and all-male-units were situated on the periphery.
These results strongly suggest the existence of a multilevel social structure within feral horse societies.
Implications of the Research
The observations made in this study contribute significantly to understanding not only the social structure of horse societies, but also provides foundational comparative data for future studies examining other non-human animal societies. Researchers can further utilize this understanding to develop more comprehensive models predicting non-human group behaviors and interactions, such as decision making, social affiliations, and spatial arrangement.
Cite This Article
Publication
Researcher Affiliations
- Wildlife Research Centre, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, Japan. tamao@powarch.com.
- Wildlife Research Centre, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, Japan.
- Institute for Advanced Study, Kyoto University, Yoshida Ushinomiya-cho, Sakyo, Kyoto, Japan.
- Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France.
- Université de Strasbourg, CNRS, IPHC, UMR 7178, Strasbourg, France.
- Institut Universitaire de France, Paris, France.
- Wildlife Research Centre, Kyoto University, 2-24 Tanaka-Sekiden-cho, Sakyo, Kyoto, Japan.
- Institute for Advanced Study, Kyoto University, Yoshida Ushinomiya-cho, Sakyo, Kyoto, Japan. shinyayamamoto1981@gmail.com.
MeSH Terms
- Aircraft
- Animals
- Female
- Horses / psychology
- Male
- Photography
- Social Behavior
Grant Funding
- LGP-U04 / Japan Society for the Promotion of Science
- KAKENHI, No. 18K18342 / Japan Society for the Promotion of Science
- KAKENHI No. 18H05524 / Japan Society for the Promotion of Science
- KAKENHI No. 15H05309 / Japan Society for the Promotion of Science
- SPIRITS / Kyoto University
Conflict of Interest Statement
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