Clifton G T, Holway D, Gravish N
Department of Mechanical and Aerospace Engineering, Behavior and Evolution, University of California, San Diego, USA.
Division of Biological Science, Section of Ecology, Behavior and Evolution, University of California, San Diego, USA.
R Soc Open Sci. 2020 Mar 25;7(3):192068. doi: 10.1098/rsos.192068. eCollection 2020 Mar.
Natural terrain is rarely flat. Substrate irregularities challenge walking animals to maintain stability, yet we lack quantitative assessments of walking performance and limb kinematics on naturally uneven ground. We measured how continually uneven 3D-printed substrates influence walking performance of Argentine ants by measuring walking speeds of workers from laboratory colonies and by testing colony-wide substrate preference in field experiments. Tracking limb motion in over 8000 videos, we used statistical models that associate walking speed with limb kinematic parameters to compare movement over flat versus uneven ground of controlled dimensions. We found that uneven substrates reduced preferred and peak walking speeds by up to 42% and that ants actively avoided uneven terrain in the field. Observed speed reductions were modulated primarily by shifts in stride frequency instead of stride length (flat : 0.91 versus 0.50), a pattern consistent across flat and uneven substrates. Mixed effect modelling revealed that walking speeds on uneven substrates were accurately predicted based on flat walking data for over 89% of strides. Those strides that were not well modelled primarily involved limb perturbations, including missteps, active foot repositioning and slipping. Together these findings relate kinematic mechanisms underlying walking performance on uneven terrain to ecologically relevant measures under field conditions.
自然地形很少是平坦的。基质的不规则性对行走的动物维持稳定性构成挑战,但我们缺乏对在自然不平地面上行走性能和肢体运动学的定量评估。我们通过测量实验室蚁群中工蚁的行走速度,并在野外实验中测试蚁群对基质的整体偏好,来测定3D打印的持续不平坦基质如何影响阿根廷蚂蚁的行走性能。通过追踪8000多个视频中的肢体运动,我们使用将行走速度与肢体运动学参数相关联的统计模型,来比较在平坦和特定尺寸不平地面上的运动情况。我们发现,不平坦的基质使偏好行走速度和峰值行走速度降低了42%,并且蚂蚁在野外会主动避开不平坦的地形。观察到的速度降低主要是由步频变化而非步长变化调节的(平坦地面:0.91对0.50),这种模式在平坦和不平坦基质上都是一致的。混合效应模型显示,基于平坦地面行走数据,超过89%的步幅能够准确预测在不平坦基质上的行走速度。那些建模效果不佳的步幅主要涉及肢体扰动,包括失足、主动足部重新定位和滑倒。这些发现共同将在不平地形上行走性能的运动学机制与野外条件下的生态相关指标联系起来。