Dataset for Influence of ecological and social factors on huddling behaviour and cluster organisation in Japanese macaques (Macaca fuscata)
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://zenodo.org/record/12719822
下载链接
链接失效反馈官方服务:
资源简介:
Dataset for Influence of ecological and social factors on huddling behaviour and cluster organisation in Japanese macaques (Macaca fuscata)
Huddling behaviour is present in many animal species. This behaviour involves maintaining close physical contact with conspecifics to minimise heat loss and, in general, reduce energy expenditure. Additionally, this behaviour also facilitates complex social interactions within a population. In Japanese macaques, this behaviour is observed in many populations across Japan, including Shodoshima, where huddling clusters can reach up to 100 individuals in winter. Based on several studies on this species, it appears that huddling, or in Japanese, is influenced by both meteorological factors and social relationships between individuals. The objective of this study is to understand the determinants that drive the expression, variation, and organisation of huddling behaviour. Two hypotheses were formulated. The first hypothesis posits that the formation and variations in the size and number of clusters are influenced by meteorological factors, while the second hypothesis suggests that the number and position of individuals within a cluster is related to existing relationships between individuals. To test these, data on the number, size, and individuals composing a cluster were collected, allowing building huddling social networks. Simultaneously, meteorological measurements were taken, along with observations on dominance and grooming interactions between individuals. This allowed us to create several statistical models and social networks for comparison. Our results suggest that the initiation of huddling is mainly related to solar radiation energy, while variations in number and size could be explained by temperature. Moreover, the organisation within a cluster is not random but reflects relationships between individuals. However, it is not a single parameter but rather a combination of social relationships that underpin the organisation of individuals within clusters.
创建时间:
2024-07-11



