论文标题
蚊子群的动力在移动标记上
Dynamics of mosquito swarms over a moving marker
论文作者
论文摘要
昆虫群是一种模型系统,用于理解集体运动出现在混乱中的集体行为。为了启动和维护群,飞行昆虫经常使用可视的外部提示称为标记。在蚊子中,了解蜂群的行为及其与标记的关系具有额外的医学相关性,因为蜂群通常在野外交配之前,因此构成了拦截控制蚊子种群的重要阶段。在本文中,我们进行初步实验,以表征蚊子和标记物之间的视觉耦合。建造了带有人工照明的实验室缩影,以刺激疟疾蚊子围绕史蒂芬西的一致蜂群。实验设置用于拍摄带有立体声摄像机系统的蚊子群,因为标记以不同的频率来回移动。频率响应的系统识别分析表明,可以通过反馈回路中的延迟二阶动力学来描述群和标记之间的关系。此外,内部时间延迟的长度似乎与标记上的蚊子数量相关,表明这种延迟可能能够捕获蜂群系统中的社交互动。对于昆虫群,轨迹数据的模型拟合提供了一种方法,可以比较不同物种相对于标记特征的蜂群行为。这些初步结果促使研究反馈中的线性动态系统,这是对昆虫群建模并为将来的研究奠定基础的框架。
Insect swarms are a model system for understanding collective behavior where the collective motion appears in disorder. To initiate and maintain a swarm in place, flying insects often use a visual external cue called a marker. In mosquitoes, understanding the swarming behavior and its relation to the marker has an additional medical relevance since swarming often precedes mating in the wild, thus constituting an important stage to intercept for controlling mosquito population. In this paper, we conduct preliminary experiments to characterize the visual coupling between a swarm of mosquitoes and a marker. A laboratory microcosm with artificial lighting was built to stimulate consistent swarming in the malarial mosquito Anopheles stephensi. The experimental setup was used to film a mosquito swarm with a stereo camera system as a marker was moved back-and-forth with different frequencies. System identification analysis of the frequency response shows that the relationship between the swarm and the marker can be described by delayed second order dynamics in a feedback loop. Further, the length of the internal time delay appears to correlate with the number of mosquitoes swarming on the marker indicating that such a delay may be able capture social interactions within swarming systems. For insect swarms, model fitting of trajectory data provides a way to numerically compare swarming behaviors of different species with respect to marker characteristics. These preliminary results motivate investigating linear dynamic system in feedback as a framework for modeling insect swarms and set the stage for future studies.