The Dian Fossey Gorilla Fund, Musanze, Rwanda.
Centre for Research in Animal Behaviour, University of Exeter, UK.
Proc Biol Sci. 2020 Jul 29;287(1931):20201026. doi: 10.1098/rspb.2020.1026.
Social complexity reflects the intricate patterns of social interactions in societies. Understanding social complexity is fundamental for studying the evolution of diverse social systems and the cognitive innovations used to cope with the demands of social life. Social complexity has been predominantly quantified by social unit size, but newer measures of social complexity reflect the diversity of relationships. However, the association between these two sets of measures remains unclear. We used 12 years of data on 13 gorilla groups to investigate how measures of social complexity relate to each other. We found that group size was a poor proxy for relationship diversity and that the social complexity individuals experienced within the same group varied greatly. Our findings demonstrate two fundamental takeaways: first, that the number of relationships and the diversity of those relationships represent separate components of social complexity, both of which should be accounted for; and second, that social complexity measured at the group level may not represent the social complexity experienced by individuals in those groups. These findings suggest that comprehensive studies of social complexity, particularly those relating to the social demands faced by individuals, may require fine-scale social data to allow accurate comparisons across populations and species.
社会复杂性反映了社会中复杂的社会互动模式。理解社会复杂性对于研究不同社会系统的进化以及用于应对社会生活需求的认知创新至关重要。社会复杂性主要通过社会单位规模来量化,但更新的社会复杂性衡量标准反映了关系的多样性。然而,这两套衡量标准之间的关联尚不清楚。我们使用了 12 年关于 13 个大猩猩群体的数据,调查了社会复杂性的衡量标准之间是如何相互关联的。我们发现,群体规模并不能很好地代表关系的多样性,而且个体在同一群体中经历的社会复杂性差异很大。我们的研究结果表明了两个基本的结论:第一,关系的数量和关系的多样性代表了社会复杂性的两个独立组成部分,两者都应该被考虑在内;第二,群体层面上测量的社会复杂性可能并不代表个体在这些群体中经历的社会复杂性。这些发现表明,对社会复杂性的全面研究,特别是与个体所面临的社会需求相关的研究,可能需要精细的社会数据,以便在不同种群和物种之间进行准确的比较。