Agent-Based Modeling of Harvest Decisions by Small Scale Forest Landowners in Maine, USA

Figure 2

The FLAME dynamic constructs. The static model parameters of landscape, landowner, and methods ultimately drove the dynamic system. Landowners evaluated their natural conditions and priority goal scores as well as communicated. Beliefs interacted with methods (actions available) to represent their perception on how well a given action would meet their goal. The decision engine chose the perceived optimal action that would improve landowners' goal score.