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Aerial drone observations identified a multilevel society in feral horses
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 presenc...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794487/ https://www.ncbi.nlm.nih.gov/pubmed/33420148 http://dx.doi.org/10.1038/s41598-020-79790-1 |
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author | Maeda, Tamao Ochi, Sakiho Ringhofer, Monamie Sosa, Sebastian Sueur, Cédric Hirata, Satoshi Yamamoto, Shinya |
author_facet | Maeda, Tamao Ochi, Sakiho Ringhofer, Monamie Sosa, Sebastian Sueur, Cédric Hirata, Satoshi Yamamoto, Shinya |
author_sort | Maeda, Tamao |
collection | PubMed |
description | 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 defined based on the distribution pattern of the inter-individual distance. The association rates of individuals showed bimodality, suggesting the presence of small social organizations or “units”. Inter-unit distances were significantly smaller than those in randomly replaced data, which showed that units associate to form a higher-level social organization or “herd”. Moreover, this herd had a structure where large mixed-sex units were more likely to occupy the center than small mixed-sex units and all-male-units, which were instead on the periphery. These three pieces of evidence regarding the existence of units, unit association, and stable positioning among units strongly indicated a multilevel structure in horse society. The present study contributes to understanding the functions and mechanisms of multilevel societies through comparisons with other social indices and models as well as cross-species comparisons in future studies. |
format | Online Article Text |
id | pubmed-7794487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77944872021-01-12 Aerial drone observations identified a multilevel society in feral horses Maeda, Tamao Ochi, Sakiho Ringhofer, Monamie Sosa, Sebastian Sueur, Cédric Hirata, Satoshi Yamamoto, Shinya Sci Rep Article 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 defined based on the distribution pattern of the inter-individual distance. The association rates of individuals showed bimodality, suggesting the presence of small social organizations or “units”. Inter-unit distances were significantly smaller than those in randomly replaced data, which showed that units associate to form a higher-level social organization or “herd”. Moreover, this herd had a structure where large mixed-sex units were more likely to occupy the center than small mixed-sex units and all-male-units, which were instead on the periphery. These three pieces of evidence regarding the existence of units, unit association, and stable positioning among units strongly indicated a multilevel structure in horse society. The present study contributes to understanding the functions and mechanisms of multilevel societies through comparisons with other social indices and models as well as cross-species comparisons in future studies. Nature Publishing Group UK 2021-01-08 /pmc/articles/PMC7794487/ /pubmed/33420148 http://dx.doi.org/10.1038/s41598-020-79790-1 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Maeda, Tamao Ochi, Sakiho Ringhofer, Monamie Sosa, Sebastian Sueur, Cédric Hirata, Satoshi Yamamoto, Shinya Aerial drone observations identified a multilevel society in feral horses |
title | Aerial drone observations identified a multilevel society in feral horses |
title_full | Aerial drone observations identified a multilevel society in feral horses |
title_fullStr | Aerial drone observations identified a multilevel society in feral horses |
title_full_unstemmed | Aerial drone observations identified a multilevel society in feral horses |
title_short | Aerial drone observations identified a multilevel society in feral horses |
title_sort | aerial drone observations identified a multilevel society in feral horses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794487/ https://www.ncbi.nlm.nih.gov/pubmed/33420148 http://dx.doi.org/10.1038/s41598-020-79790-1 |
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