Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel.
School of Zoology, Tel Aviv University, Tel Aviv, Israel.
Commun Biol. 2022 Dec 15;5(1):1378. doi: 10.1038/s42003-022-04317-5.
Network structure is a key driver of animal fitness, pathogen transmission, information spread, and population demographics in the wild. Although a considerable body of research applied network analysis to animal societies, only little effort has been devoted to separate daytime and nighttime sociality and explicitly test working hypotheses on social structures emerging at night. Here, we investigated the nighttime sociality of a wild population of rock hyraxes (Procavia capensis) and its relation to daytime social structure. We recorded nearly 15,000 encounters over 27 consecutive days and nights using proximity loggers. Overall, we show that hyraxes are more selective of their social affiliates at night compared to daytime. We also show that hyraxes maintain their overall network topology while reallocating the weights of social relationships at the daily and monthly scales, which could help hyraxes maintain their social structure over long periods while adapting to local constraints and generate complex social dynamics. These results suggest that complex network dynamics can be a by-product of simple daily social tactics and do not require high cognitive abilities. Our work sheds light on the function of nighttime social interactions in diurnal social species.
网络结构是动物适应能力、病原体传播、信息传播和野外种群动态的关键驱动因素。尽管已经有相当多的研究将网络分析应用于动物社会,但很少有人致力于将日间和夜间社交活动分开,并明确测试在夜间出现的社会结构的假设。在这里,我们研究了野生岩蹄兔(Procavia capensis)的夜间社交行为及其与日间社会结构的关系。我们使用近距离记录器在 27 个连续的日夜中记录了近 15000 次相遇。总的来说,我们发现与白天相比,岩蹄兔在夜间对其社交伙伴的选择更具选择性。我们还表明,岩蹄兔在保持其整体网络拓扑结构的同时,在日和月的尺度上重新分配社交关系的权重,这有助于岩蹄兔在适应当地限制的同时长期维持其社交结构,并产生复杂的社交动态。这些结果表明,复杂的网络动态可能是简单的日常社交策略的副产品,而不需要高认知能力。我们的工作揭示了昼夜社交物种中夜间社交互动的功能。