Numerical Classification, Ordination and Environment Analysis of Public Welfare Forest Community in Shengzhou
In order to explain the internal relationship between distribution patterns of vegetation and environment, the numerical classification and ordination of 94 plots (20 m×20 m for each) in public welfware forest of Shengzhou were studied by two-way indicator species analysis (TWINSPAN) and canonical correspondence analysis (CCA). The results showed that 94 plots could be divided into 14 groups by TWINSPAN, and in which the associations ofPinus massonianas constructive species was the most, it was dominant community type in the region. The relationship between vegetation communities and environmental factors was relfected by CCA ordination, the slop aspect and slop position were main environment factors in the community distribution. Therefore, the internal relationship between distribution patterns of vegetation and environment could be explained by combination of both methods, these could provide scientiifc foundation for the classiifcation management of regional public welfare forest.
Public welfare forest communityTWINSPANCCAEnvironment factorShengzhou
国家科技期刊平台
NSTL
万方数据
维普
