Abstract:
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,
Rym, is 0.6888,
Rym t value is 11.0804. Through
Rym t test,
t0.05=1.98<
tactual 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.