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当前位置: 首页 > 文章 > 常熟虞山森林植被群落的数量分类与排序 南京林业大学学报(自然科学版) 2010,34 (3) 45-50
Position: Home > Articles > Numerical classification and ordination of forest vegetation communities in Yushan mountain,Changshu Journal of Nanjing Forestry University(Natural Sciences Edition) 2010,34 (3) 45-50

常熟虞山森林植被群落的数量分类与排序

作  者：
任斌斌;李树华;朱春阳;张晓彤
单  位：
中国农业大学农学与生物技术学院;中国农业大学资源与环境学院;清华大学建筑学院
关键词：
森林群落;TWINSPAN分类;CCA排序;虞山
摘  要：
采用典型样方法对常熟虞山森林植被进行取样,利用22块样地资料对群落进行TWINS-PAN分类和CCA排序,研究了虞山森林植被的群落结构。结果表明:(1)利用TWINSPAN对乔木层物种进行了分类,按照不同指示种将其划分为8个群丛类型。(2)CCA排序结果显示,第1排序轴与海拔有相关性,反映了温度条件的作用,第2排序轴与坡度和坡向有很大的显著关系,反映了水分、光照等条件的作用。植物群落的分布主要受到坡度和坡向两个环境因子的影响,其垂直地带性分布不明显。
译  名：
Numerical classification and ordination of forest vegetation communities in Yushan mountain,Changshu
作  者：
REN Bin-bin1,LI Shu-hua2 ,ZHU Chun-yang1,ZHANG Xiao-tong3 (1. College of Agriculture and Biotechnology,China Agricultural University,Beijing 100193,China; 2. School of Architecture,Tsinghua University,Beijing 100084,China; 3. College of Resources and Environment,China Agricultural University,Beijing 100193,China)
关键词：
forest community; TWINSPAN classification; CCA ordination; Yushan mountain
摘  要：
In this research,typical sampling method was adopted to sample in forest communities of Yushan,Changshu. And based on the data from 22 sample plots,forest communities in Yushan were investigated using TWINSPAN and CCA in order to analyze the structure of the communities. The results of TWINSPAN classification indicated that these quadrates were classified into 8 types based on the flora composition of canopy layer. CCA ordination demonstrated a significant relationship between Axis 1 and elevation,indicating the function of temperature. On the other hand,Axis 2 showed significant correlation with slop an aspect,which suggested humidity,illumination and other things played key roles in community assembly. The results also indicated that the distribution of the vegetation communities was mainly impacted by two environmental factors including sharpness and slope direction. On the contrary,the vertical distributional character was not obvious.

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