Simulating weed propagation via hierarchical patch-based cellular automata

Abstract

Ecological systems are complex systems that feature heterogeneity at a number of spatial scales. Modelling weed propagation is difficult because local interactions are unpredictable, yet responsible for global patterns. A patch-based and hierarchical cellular automaton using probabilistic connections suits the nature of environmental weed dispersal mechanisms. In the presented model, weed dispersal mechanisms, including human disturbance and dispersal by fauna, are approximated by pathways through a network of cells. The results of simulations provide evidence that the method is suitable for modelling weed dispersal mechanisms using multiple scales of observation.