# Gyrotactic phytoplankton in laminar and turbulent flows: a dynamical systems approach

## TL;DR

This paper reviews how gyrotactic phytoplankton, influenced by fluid flows, exhibit complex distribution patterns like trapping and clustering, explained through dynamical systems theory.

## Contribution

It provides a comprehensive overview of recent theoretical, numerical, and experimental findings on gyrotactic phytoplankton in various flow regimes, highlighting new insights into their distribution behaviors.

## Key findings

- Gyrotactic trapping occurs in nonlinear shear flows.
- Fractal clustering of phytoplankton is observed in turbulent flows.
- Dynamical systems theory effectively explains these phenomena.

## Abstract

Gyrotactic algae are bottom heavy, motile cells whose swimming direction is determined by a balance between a buoyancy torque directing them upwards and fluid velocity gradients. Gyrotaxis has, in recent years, become a paradigmatic model for phytoplankton motility in flows. The essential attractiveness of this peculiar form of motility is the availability of a mechanistic description which, despite its simplicity, revealed predictive, rich in phenomenology, easily complemented to include the effects of shape, feed-back on the fluid and stochasticity (e.g. in cell orientation). In this review we consider recent theoretical, numerical and experimental results to discuss how, depending on flow properties, gyrotaxis can produce inhomogeneous phytoplankton distributions on a wide range of scales, from millimeters to kilometers, in both laminar and turbulent flows. In particular, we focus on the phenomenon of gyrotactic trapping in nonlinear shear flows and in fractal clustering in turbulent flows. We shall demonstrate the usefulness of ideas and tools borrowed from dynamical systems theory in explaining and interpreting these phenomena.