CANONICAL CORRELATION ANALYSIS BETWEEN SPECIES DIVERSITY IN SHRUB LAYER AND STAND VARIABLES IN OVER-LOGGED FORESTS IN NORTHEASTERN CHINA

It is useful for making management strategies and protecting biodiversity to study the effects of stand attributes on species diversity, especially controllable factors by forest management. Using canonical correlation analysis, this paper aims to find major stand variables affecting species diversity in shrub layer in 3 types of over logged forests in northeastern China, which include soil water content, tree species diversity and tree stems per hectare. Of these factors, soil water content and tree species diversity have positive correlationship with species diversity in shrub layer, but tree stems per hectare has negative. 68.32% of the variance of species diversity in shrub layer was explained by the first canonical variable of stand variables, but the rest was not interpreted yet. These conclusions can be used for the decision of sustainable forest management.Tab 8, Ref 12