Numerical Classification, Ordination and Environment Analysis of Public Welfare Forest Community in Shengzhou

Abstract:

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 of Pinus massonian as constructive species was the most, it was dominant community type in the region. The relationship between vegetation communities and environmental factors was reflected 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 scientific foundation for the classification management of regional public welfare forest.

Key words:Public welfare forest community;TWINSPAN;CCA;Environment factor;Shengzhou