Abstract: The DBH and tree height growth data of 7-year-old Pinus massoniana tissue cultured seedlings test forest built in Guangxi Paiyangshan Forest Farm were collected,and the DBH distribution,tree height distribution and tree height-diameter relationship of the stand were measured and analyzed.The mathematical model was used for fitting and regression simulation,the model parameters were solvedand tested by χ² method,and the determination coefficient (R²),root mean square error (R_MSE) and F value were used for comprehensive evaluation to screen the optimal model.The results showed that the DBH skewness coefficient sk＞0,the DBH kurtosis coefficient k＜0,the tree height skewness coefficient sk＜0,and the tree height kurtosis coefficient k＜0 in the Pinus massoniana tissue culture seedling test forest.The indicating that the forest competition in the forest stand was fierce and the dispersion of DBH and tree height was large the srand structure could be adjusted by moderate thinning.the peal-reed model was the optimal model for DBH distribution and tree height distribution of tissue culture seedling test forest of Pinus massoniana.The determination coefficient (R²) was above 0.98,the root mean square error (R_MSE) was 1.64~5.69,and the F value was 62.57~684.68.Among the four candidate models,the nonlinear h=1.3+d²/(c₀+c₁d+c₂d²) had the best simulation effect on the relationship between DBH and tree height,with the determination coefficient (R²),root mean square error (R_MSE) and F value of 0.94,0.2711 and 65.85,respectively.The three selected models had good predictive ability for the growth changes of DBH and tree height in the experimental forest,whichcould provide reference for the management of Pinus massoniana clonalplantation under the same site conditions and management measures.