Plant Community Succession Based on Metacellular Automata Modeling

Abstract

To explore the relationship between the number and type of species in a plant community and the community's adaptation to arid environments, we developed a cellular automata model that maps the various factors involved in individual plants in the community to a basic model, and we used the model to establish a direct relationship between individual attributes and the overall phenomenon, describing changes in the plant community over time. We used an iterative approach of global probability maps to study competitive relationships and reproductive processes among plants. Specifically, we consider not only the local state around individual cells, but also the global state of all cells in the entire simulation space, which will make it easier for us to consider the scope of influence of individual plants, facilitate the overall planning of plant reproduction and interspecific competition, and simplify the model while ensuring simulation.