Forest growth models of Canada

Forest growth models are mathematical or computer models to project the future state and yields of forest stands or forest trees, over a time scale of from a few years to many decades. 
Structure and function of growth models vary: some are purely empirical, based on the reproduction of past observations, while others explicitly mimic specific processes relative to tree ecophysiology, stand dynamics, etc. Typically, growth models use forest inventory data and site characteristics, such as soil type, drainage class, average annual temperature, precipitation, etc., as input for growth projections. Most models are calibrated for a given region and a given set of stand types, defined by the species composition and the management regime (even-aged versus uneven-aged stands, managed versus unmanaged stands).
Some models consider only stand growth and dynamics processes, while other can simulate the effect of silviculture practices (plantation, partial harvest, fertilization, etc.).
Typology of models.
Model types.
Construction.
"Empirical models seek principally to describe the statistical relationships among data with limited regard to an object's internal structure, rules, or behaviour. In contrast, process models seek primarily to describe data using key mechanisms or processes that determine an object's internal structure, rules, and behaviour."
Models can be either distance-independent or distance-dependent. In the later case, geographical positions of trees are known and used for modeling competition and/or dispersion processes.
Yields.
Growth model outputs can fall in the following categories:
Catalog.
Please refer to the lexicon for the definitions of the variables and the categories used in this table.