嵊州市公益林群落数量分类、排序及环境解析

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

摘要:

为探讨群落分布和环境间的内在关系,采用二元指示种分析(TWINSPAN)和典范对应分析(CCA)法对嵊州市公益林植物群落94 块固定监测样地(20 m×20 m)进行数量分类与排序.结果表明,采用TWINSPAN 可将94 个公益林监测样地分成14 组,其中以马尾松为建群种的群丛最多,是该区域主要的优势群落类型.CCA 排序结果较好地反映了植物群落与环境因子的关系,其中坡向和坡位是植物群落分布的主导环境因子.此方法可有效解释植物群落分布格局与环境之间的内在联系,为区域公益林分类经营管理提供科学依据.

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.