Abstract

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 R2: 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.

Highlights

  • The complex, three-dimensional structures of natural environments disrupt walking at multiple scales

  • Tracking ant locations across frames, we find that ants walked more a

  • Our findings demonstrate that ants are able to mostly conserve flat ground walking patterns and maintain preferred foot placement while on naturally uneven substrates

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Summary

Introduction

The complex, three-dimensional structures of natural environments disrupt walking at multiple scales. By 2 contrast, large-scale environmental structures (those far exceeding body size) present navigational challenges [5,6]. Far less is known about how substrate variability at intermediate scales influences locomotion. Animal and robotic studies of locomotion on substrates with three-dimensional variation at this intermediate scale often focus on discrete changes in substrate height, such as crossing a step or gap [7,8,9,10,11]. Natural substrates present a continuous series of surface variations in both height and span, which probably induce distinct behavioural and kinematic adjustments. To investigate how naturalistic substrates with intermediate scale variation influence walking performance, we study one of nature’s most proficient walking animals, the worker ant [12]

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