Assessment of site condition quality of the natural forest of Picea asperata by multi-factor quantitative analysis

This article utilizes quantitative theory Ⅰ to build the evaluation models of multi-factor quantitative site condition quality of the natural forest of Picea asperata (Chinese spruce). The duplicate relative coefficient of the models, R_ym, is 0.6888，R_ym t value is 11.0804. Through R_ym t test, t_0.05=1.98＜t_{actual value}. And the site quality evaluation table and site quality grade evaluation table are made, which are capable to directly predict the non-woodland productivity capacity and the growth impression.