Influence of seeding patterns on a single-species forest population

Abstract

Agent-based models of forests can be utilized to make long-term observations and predictions. Using a field-based forest model, we observe different phenomena that occur during the evolution of a forest system through time. A steady state population regardless of initial population can be observed, where the microscopic behavior of trees, specifically the seed-growth-death process, is such that the system is in equilibrium. Observations show strong influence of interaction parameters and seeding rate on the resulting steady-state system.