Climatic Regionalization Study of Paraserianthes falcataria in Three Provinces of Southern China

According to the methods of type-R principal component analysis and fuzzy ISODATA cluster analysis, the studied area was divided into 3 climatic types based on 2 items of geographical data and 16 items of meteorological data collected from 171 counties. The method of stepwise discrimination analysis was used for giving discriminating functions to types and showed 91.81% of accuracy. Considering the result of fuzzy similarity priority ratio, the studied area was divided into 3 climatic regions: the suitable region for Paraserianthes falcataria, the less suitable and the controlled.