The community structure models of evergreen broad-leaved forest were modeled by computer

The purpose of this research was to find out the laws of community structure in quantity for study sustainable management of evergreen broad-leaved forest. The structure models were modeled by computer and the following laws were found: (i) With the increase of height-class or diameter-class, the number of trees and the number of species of evergreen broad-leaved forests shows the distribution of “reversal J type” in the total, the south-slope and north-slope. These relationships can be described by negative exponential equation. (ii) The relationship between the number of species richness and the number of trees shows the obvious positive correlation and can be described by power function equation. (iii) Different slope directions of evergreen broad-leaved forest have different the structure features. On the whole, south-slope is closer to the total, and north- slope is slightly away. These laws will lay a foundation for the study on exploiting, forest cutting and regenerating of the evergreen broad-leaved forest in future.