Exploring locust hopper bands emergent patterns using parallel computing
Adrian Bach

TL;DR
This study uses a three-zone self-propelled particles model with density-dependent hopping to predict and analyze emergent locust hopper band patterns, revealing how activity intermittency influences band shape and density profiles.
Contribution
Introduces a novel three-zone model incorporating activity intermittency and density-dependent hopping to explain locust band patterns and their formation mechanisms.
Findings
Model predicts frontal and columnar patterns based on pause durations.
Density-dependent hopping is essential for pattern emergence.
Simulated density profiles match empirical observations.
Abstract
To date, the mechanisms underlying the diversity of the emergent patterns of collective motion in locust hopper bands remain to be unveiled. This study investigates the role of speed heterogeneity in the emergence of the most common patterns (frontal and columnar), following the Self-Organization framework. To address whether marching activity intermittency and density-dependant hopping individual behaviours could underlie the formation of such patterns, a three-zone Self-Propelled Particles model variant was formulated. In this model, individuals alternated between marching and resting periods, and were more likely to hop when crowded. The model successfully predicted the emergence of both patterns of interest, with the presence of a density-dependent hopping probability being a necessary condition. Short to absent pause periods mostly resulted in columnar shapes, similar to the ones…
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Taxonomy
TopicsPlant and animal studies · Insect and Arachnid Ecology and Behavior · Ecology and Vegetation Dynamics Studies
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
