The Behavioral Mechanisms Governing Collective Motion in Swarming Locusts (Subrepository2)

Collective motion, which is ubiquitous in nature, has traditionally been explained by “self-propelled particle” models from theoretical physics. Here we show, through field, lab, and virtual reality experimentation, that classical models of collective behavior cannot account for how collective motion emerges in marching desert locusts, whose swarms affect the livelihood of millions. In contrast to assumptions made by these models, locusts do not explicitly align with neighbors. While individuals respond to moving-dot stimuli through the optomotor response, this innate behavior does not mediate social response to neighbors. Instead, locust marching behavior, across scales, can be explained by aminimal cognitive framework, which incorporates individuals’ neural representation of bearings to neighbors and internal consensus dynamic for making directional choices. Our findings challenge long-held beliefs about how order can emerge from disorder in animal collectives. This is the Subrepository2. The main repository, the rest of the data and code are available in the following subrepositories:Main repository: 10.5281/zenodo.14353283Subrepository1: 10.5281/zenodo.14354634Subrepository3: 10.5281/zenodo.14355590集体运动在自然界中无处不在，传统上一直由理论物理学领域的自驱动粒子（self-propelled particle）模型加以阐释。本研究通过野外实验、实验室实验与虚拟现实实验证实，经典的集体行为模型无法解释行进中的沙漠蝗的集体运动形成机制——此类蝗群的泛滥会直接影响数百万民众的生计。 与这些模型的预设前提相悖，沙漠蝗并不会主动与邻近个体保持运动方向对齐。尽管单个蝗虫会通过视动反应（optomotor response）对移动光点刺激做出响应，但这种先天行为并不介导其对邻近同伴的社交响应。 取而代之的是，不同尺度下的沙漠蝗行进行为可通过一个极简认知框架加以解释：该框架整合了个体对邻近同伴方位的神经表征，以及用于做出方向选择的内部共识动态机制。本研究结果颠覆了学界长期以来关于动物集体如何从无序中涌现出有序的固有认知。 本数据集隶属于子仓库2。主仓库及其余数据与代码可通过以下子仓库获取： 主仓库：10.5281/zenodo.14353283 子仓库1：10.5281/zenodo.14354634 子仓库3：10.5281/zenodo.14355590