Source-linked AI summary
Model of collective fish behavior with hydrodynamic interactions
Audrey Filella, François Nadal, Clément Sire, Eva Kanso, Christophe Eloy
TL;DR
Existing behavioral models of fish schooling generally omit hydrodynamics despite fish sensing and exploiting flow. This model combines behavioral rules with far-field hydrodynamic interactions and finds a new turning phase, faster average swimming, and fluid-induced disorder.
Problem
Behavioral models of fish schooling generally omit hydrodynamics, although fish sense and exploit flow features.
Source: p. 1Method
The model combines attraction, alignment, and rotational noise with swimmers’ responses to far-field dipolar flow.
Source: p. 2Results
The full hydrodynamic model produces a new turning phase, increases mean velocity, and gives hydrodynamic interactions a role similar to rotational noise.
Source: pp. 3–4Takeaways & Limitations
In this model, preferential in-line pairing accompanies faster average swimming, and the results highlight hydrodynamic interactions as relevant to fish-school dynamics.
Source: p. 5The model includes physical flow-induced motion but not possible behavioral responses to flow, such as swimming along or against it.
Source: p. 3
Abstract
from arXiv · showhide
Fish schooling is often modeled with self-propelled particles subject to phenomenological behavioral rules. Although fish are known to sense and exploit flow features, these models usually neglect hydrodynamics. Here, we propose a novel model that couples behavioral rules with far-field hydrodynamic interactions. We show that (1) a new "collective turning" phase emerges; (2) on average individuals swim faster thanks to the fluid; (3) the flow enhances behavioral noise. The results of this model suggest that hydrodynamic effects should be considered to fully understand the collective dynamics of fish.