Centre for Research in Animal Behaviour, University of Exeter, Exeter, UK.
Center for Whale Research, Friday Harbour, WA, USA.
Proc Biol Sci. 2021 Aug 25;288(1957):20211129. doi: 10.1098/rspb.2021.1129. Epub 2021 Aug 18.
Mounting evidence suggests that patterns of local relatedness can change over time in predictable ways, a process termed kinship dynamics. Kinship dynamics may occur at the level of the population or social group, where the mean relatedness across all members of the population or group changes over time, or at the level of the individual, where an individual's relatedness to its local group changes with age. Kinship dynamics are likely to have fundamental consequences for the evolution of social behaviour and life history because they alter the inclusive fitness payoffs to actions taken at different points in time. For instance, growing evidence suggests that individual kinship dynamics have shaped the evolution of menopause and age-specific patterns of helping and harming. To date, however, the consequences of kinship dynamics for social evolution have not been widely explored. Here we review the patterns of kinship dynamics that can occur in natural populations and highlight how taking a kinship dynamics approach has yielded new insights into behaviour and life-history evolution. We discuss areas where analysing kinship dynamics could provide new insight into social evolution, and we outline some of the challenges in predicting and quantifying kinship dynamics in natural populations.
越来越多的证据表明,局部亲缘关系的模式可能会以可预测的方式随时间发生变化,这一过程被称为亲缘动态。亲缘动态可能发生在种群或社会群体的水平上,即种群或群体中所有成员的平均亲缘关系随时间发生变化,也可能发生在个体的水平上,即个体与其当地群体的亲缘关系随年龄而变化。亲缘动态很可能对社会行为和生活史的进化产生根本影响,因为它们改变了在不同时间点采取的行动的综合适合度回报。例如,越来越多的证据表明,个体亲缘动态塑造了绝经和特定年龄帮助和伤害模式的进化。然而,到目前为止,亲缘动态对社会进化的影响还没有得到广泛的探讨。在这里,我们回顾了自然种群中可能出现的亲缘动态模式,并强调了从亲缘动态角度出发如何为行为和生活史进化提供新的见解。我们讨论了分析亲缘动态可以为社会进化提供新的见解的领域,并概述了在自然种群中预测和量化亲缘动态的一些挑战。