What is a tree?

The basic unit of data in the model is the tree. A model tree is a collection of attributes describing one individual. The attributes include location in the plot, species, life history stage, and size. Additional attributes are added as needed for the use of the particular set of behaviors in a run.

Location and species for a tree never change. Life history stage transitions are handled automatically as a tree moves through its lifecycle. Tree size and shape are managed according to allometry settings. Behavior-specific attributes are managed by the appropriate behavior.

You work with these attributes when you select data for output or work with tree maps when setting up run initial conditions.