Abstract:

Based on the previous works, an improved model for neighborhood interference index was put forward: H_w=∑ⁿ_i=1S^aSbi S^cd^dSe_i, where S is the size of subject individual;S_i is the size of #em/em#-th neighbor; d_i is the distance to the #em/em#-th neighbor;n is the number of neighbors. Pinus massoniana was treated as a test object. The application of the improved neighborhood inference index was researched, and its effects with other main neighborhood inference index models presented by previous works were compared and analyzed. The applied example showed that the improved model could account for 83% of the variation in the growth rate of Pinus massoniana, the result indicated that the improved model was applicable and flexible. The sensitive rate analysis showed that the effect of the subject individual size on neighborhood interference index was greater than other factors, which means the size of subject individual was the main affecting factor on neighborhood interference index of Pinus massoniana.