Growth functions describe the change in size of an individual or population with time. The selection of appropriate growth functions for tree and stand modeling is an important aspect in the development of growth and yield models. Here we present information on the forms and characteristics of the more commonly-used growth functions for modeling forest development. When fitted to data, a number of these functions will give essentially equivalent results within the range of the observations used for estimating the equation's coefficients. However, their behavior when extrapolated may be quite different depending on the underlying mathematical properties involved. Hence, understanding these properties is helpful to modelers to determine which candidate functions to consider for specific applications.Unless the data available for modeling cover a very small range of time, there are certain properties that a growth function should exhibit to be consistent with the principles of biological growth (Fig. 6.1): (i) The curve is often limited by the value zero at a specific beginning (t D 0 or t D t 0 ), depending if the variable that is being modeled starts at t D 0, as is the case for the great majority of the tree and stand variables, or later on, as happens with tree diameter at breast height or stand basal area; (ii) The curve generally should exhibit a maximum value usually achieved at an older age (existence of an asymptote); (iii) The slope of the curve should increase with increasing growth rate in the initial phase and decrease in the final stages (show an inflection point).At this point it is important to understand the concepts of growth and yield. Growth is the increase in size of an individual or population per unit of time (for instance volume growth in m 3 ha 1 year 1 ) while yield is the size of the tree or population at a certain point in time (for instance total volume at age 50