Abstract: The finite series(seres) in the course of plant community succession, in a sense, composes a random process. The secondary succession system of the broad-leaved evergreen forest in the eastern part of Zhejiang province is a linear system which can be described by the Markov process. The quantities of the tree-layer species of plant community are used as state variables of the Markov process. The renewal probability table of the treelayer main species of plant community in the course of natural and perturbation secondary succession, which is the first step transition matrix of the Markov process, is determined with the succession research method of spacial series substituting for time series. The natural secondary succession and the perturbation secondary succession are simulated with the Markov process model. Also, the Markov process model declared the dynamic quantities of main arboreal species of plant community in the course of secondary succession, hence it provided scientific basis for researching thoroughly the laws of broad-leaved evergreen forest secondary succession and managing forest production rationally.