Abstract: Accurate site quality evaluation is the premise of forest scientific management. This study used the 9th forest resource inventory data of Sichuan Province to screen samples that met the modeling requirements and establish a tree height and volume growth model. One-way ANOVA was used to analyze the stand volume of the reference ages between different factors, and the accuracy of different site quality assessment methods was compared. Results show that the established stand height and accumulation growth curve cluster can reflect the difference of stand growth under different conditions. Altitude, slope, soil type, gravel content and vegetation type can significantly affect site quality The accuracy status index of the site quality evaluation method is superior to the multi-position status index and the forest type index. There is no significant difference between the multi-position status index and the forest type index evaluation accuracy.