Knebel Daniel, Sha-Ked Ciona, Agmon Noa, Ariel Gil, Ayali Amir
School of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv, 6997801, Israel.
Department of Computer Science, Bar-Ilan University, Ramat-Gan, 5290002, Israel.
iScience. 2021 Mar 10;24(4):102299. doi: 10.1016/j.isci.2021.102299. eCollection 2021 Apr 23.
The collective motion of swarms depends on adaptations at the individual level. We explored these and their effects on swarm formation and maintenance in locusts. The walking kinematics of individual insects were monitored under laboratory settings, before, as well as during collective motion in a group, and again after separation from the group. It was found that taking part in collective motion induced in the individual unique behavioral kinematics, suggesting the existence of a distinct behavioral mode that we term a "collective-motion-state." This state, characterized by behavioral adaptation to the social context, is long lasting, not induced by crowding per se, but only by experiencing collective motion. Utilizing computational models, we show that this adaptability increases the robustness of the swarm. Overall, our findings suggest that collective motion is not only an emergent property of the group but also depends on a behavioral mode, rooted in endogenous mechanisms of the individual.
群体的集体运动取决于个体层面的适应性。我们探究了这些适应性及其对蝗虫群体形成和维持的影响。在实验室环境中,对单个昆虫在加入群体进行集体运动之前、期间以及与群体分离之后的行走运动学进行了监测。研究发现,参与集体运动会在个体中引发独特的行为运动学,这表明存在一种独特的行为模式,我们将其称为“集体运动状态”。这种状态的特征是对社会环境的行为适应,它持续时间长,并非由拥挤本身诱发,而是仅由经历集体运动所诱发。利用计算模型,我们表明这种适应性增强了群体的稳健性。总体而言,我们的研究结果表明,集体运动不仅是群体的一种涌现属性,还取决于一种植根于个体内在机制的行为模式。