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Biology subjects

Lai, J. C. S.

Publications and source records attributed to Lai, J. C. S..

2 recordsLinked to original sources

The illusion of infinity: Acoustic black holes in wood deceive termites

Vibrational signals produced during feeding are fundamental to termite behaviour, yet their function in regulating collective foraging remains unclear. In this study, we combine bioassays, micro-CT imaging, and elastic wave modelling to investigate how the subterranean termite Coptotermes acinaciformis evaluates wood through structural wave propagation. Using an axially excited Acoustic Black Hole (ABH), a tapered geometry that minimises wave reflections and effectively mimics an infinitely long food source, we show that termites preferentially attack longer wooden dowels and, remarkably, also lighter ABH-modified dowels. Micro-CT scans revealed feeding concentrated in the dowel core, coinciding with the region of maximum stress predicted by the models but where echo return was minimal. These results indicate that termites assess wood size through bite-induced echoes, analogous to echolocation in bats and dolphins, and preferentially exploit core regions of trunks and branches, thereby accounting for the tree-piping behaviour of termites. The reduction or absence of reflected waves may thus act as a cue that stimulates collective stigmergic foraging. From an applied perspective, ABH-inspired structures could form the basis of novel, chemical-free lures for termite management.

animal behavior and cognition↗

Modelling termites tunnelling and decision-making behaviors

Termites digging and construction behavior plays an important role in understanding termites foraging and nesting strategies. Termites build galleries when they tunnel that building behavior is different from ants. Therefore, termite tunnelling behavior such as tunnelling networks (tunnel growth and branching), and direction-changing when generating new branches and encountering obstacles require more research. Measurement of termites tunnel growth in the experimental arena is often conducted manually by comparing photo sequences. Here, we observe the tunnelling behaviors of the small-sized desert subterranean termite (Heterotermes aureus) and the larger arid land subterranean termite (Reticulitermes tibialis) and develop a mathematical model to describe termites tunnelling behavior in the arena. The model can estimate the possible tunnel length with respect to termite body length over a certain time based on three data inputs. Another advantage of this model is that it takes only a few seconds to show results. The results of the model are verified numerically. A behavioral model based on a decision tree is also developed to investigate termites direction-changing mechanisms in tunnelling when generating branches and encountering obstacles. Thus, this study demonstrates methods to characterize and model termites tunnelling mechanism and direction-changing behavior, which might be applicable to other insects behavior and algorithm mimicking digging and tunneling behavior of ants.

evolutionary biology↗