Department of Information Systems Science, Faculty of Science and Engineering, Soka University, Hachioji, 192-8577, Japan.
Faculty of Information Science and Engineering, Kyoto Sangyo University, Kyoto, 603-8555, Japan.
J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2021 May;207(3):429-435. doi: 10.1007/s00359-021-01484-4. Epub 2021 Apr 12.
Investigating the locomotion mechanisms of animals improves our understanding of both their inherent movements and responses to external stimuli. Moreover, identifying the movement patterns of animals reveals their foraging search efficiency. The navigational mechanisms of foraging ants have been well studied; they present typical search strategies for pinpointing their goal. However, the detailed movement patterns of ants and the properties of their exploratory behaviors have yet to be fully studied, perhaps because of the inherent difficulty in investigating ants on a restricted flat field (on which they tend to walk along walls and stop moving around corners). Here, we address this problem using a spherical treadmill system (ANTAM), and we use this system to investigate the diffusiveness of Japanese wood ants' movements. On the treadmill, the ants walked over long distances without any restrictions. We found that the diffusiveness of movements varied across individuals and depended on time. Interestingly, further analysis indicated that the evolution of individual walkers' travel paths exhibited pink noise, even if individuals apparently produced different types of trajectories. Such complex paths may be related to optimized search strategies since ants produced both small and long paths unpredictably.
研究动物的运动机制可以增进我们对其内在运动和对外界刺激的反应的理解。此外,识别动物的运动模式可以揭示它们的觅食搜索效率。觅食蚂蚁的导航机制已经得到了很好的研究;它们表现出典型的搜索策略,以精确定位目标。然而,蚂蚁的详细运动模式及其探索行为的特性尚未得到充分研究,这也许是因为在受限的平坦场地上调查蚂蚁具有内在的困难(在这种场地上,蚂蚁往往会沿着墙壁行走,并在拐角处停止移动)。在这里,我们使用一个球形跑步机系统(ANTAM)来解决这个问题,并使用该系统来研究日本木蚁运动的扩散性。在跑步机上,蚂蚁可以不受任何限制地走很长的距离。我们发现,运动的扩散性在个体之间有所不同,并且取决于时间。有趣的是,进一步的分析表明,个体步行者的行进路径的演化表现出粉红噪声,即使个体显然产生了不同类型的轨迹。这种复杂的路径可能与优化的搜索策略有关,因为蚂蚁会不可预测地产生小路径和长路径。