Autocatalysis plays a critical role in the self‐organization of chemical and biological
systems, influencing phenomena such as bistability and reaction–diffusion front formation.
In the rhizosphere, the regulation of reactive oxygen species (ROS) is mediated by
intricate networks of reversible autocatalytic reactions, yet the mechanisms governing
their spatiotemporal dynamics remain unclear. Here, we perform comprehensive numerical
simulations of a reaction–diffusion model for ROS dynamics incorporating redox couples,
sodium borohydride, and oxygen. We identify oxidation‐driven autocatalysis as the
primary mechanism responsible for the emergence of stable reaction–diffusion fronts
that propagate with constant velocity and shape, whereas reduction fronts display
diffusive broadening attenuated by the local oxygen concentration. Furthermore, we
demonstrate that reversible quadratic autocatalytic cycles coupled to a simple autocatalyst
removal and diffusion are sufficient to reproduce these characteristic front behaviors.
These results also provide insights that are transferable to a wide range of autocatalytic
networks exhibiting spatiotemporal pattern formation.
