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广东森林群落排序分析
引用本文:周厚诚, 彭少麟, 陈天杏, 郭少聪,.广东森林群落排序分析[J].广西植物,1988(3):225-232.
作者姓名:周厚诚  彭少麟  陈天杏  郭少聪  
作者单位:中国科学院华南植物研究所 (周厚诚,彭少麟,陈天杏),中国科学院华南植物研究所(郭少聪)
基金项目:中国科学院青年科学基金
摘    要:本文应用极点排序和位置向量排序的方法对广东13个森林群落进行排序分析,并分别用极点排序图和位置向量排序的二维图和三维图表示排序的结果。同时对排序图的生态学意义及排序方法的优缺点进行讨论。结果表明,三维位置向量排序图能较好地把性质相近的群落类型聚在一起,可作为植被分类的辅助方法;积点排序图从一定程度上反映了植被的连续变化;极点排序与位置向量排序虽然取得一定结果,但由于同属线性排序,损失的信息量较多,寻求非线性排序方法是研究的方向。

关 键 词:极点排序  位署向量排序  森林群落相似性距阵

ANALYSIS ON ORDINATION OF FOREST COMMUNITIES IN GUANGDONGANALYSIS ON ORDINATION OF FOREST COMMUNITIES IN GUANGDONG
Zhou Hou-cheng,Peng Shao-lin,Chen Tian-xing and Guo Shao-cong.ANALYSIS ON ORDINATION OF FOREST COMMUNITIES IN GUANGDONGANALYSIS ON ORDINATION OF FOREST COMMUNITIES IN GUANGDONG[J].Guihaia,1988(3):225-232.
Authors:Zhou Hou-cheng  Peng Shao-lin  Chen Tian-xing and Guo Shao-cong
Abstract:In this paper 13 forest communities in Guangdong were ordinated with the ways of PO and PVO.The ordination results were shown by two-dimensional graph and three-dimensional graph.The ecological meaning of ordination graphs was analyzed and the effectiveness of ordination was discussed.The results showed that the three-dimensional graph of PVO can clusters the communities which there are similar characters,and the way can be used to the classification of vegetation.PO can better show the continuity change of vegetation.Both PO and PVO belong to linear ordination.A lot of information will be loss in the process of ordination.So we have to look for the unlinear ordination way for community ordination.In this paper 13 forest communities in Guangdong were ordinated with the ways of PO and PVO.The ordination results were shown by two-dimensional graph and three-dimensional graph.The ecological meaning of ordination graphs was analyzed and the effectiveness of ordination was discussed.The results showed that the three-dimensional graph of PVO can clusters the communities which there are similar characters,and the way can be used to the classification of vegetation.PO can better show the continuity change of vegetation.Both PO and PVO belong to linear ordination.A lot of information will be loss in the process of ordination.So we have to look for the unlinear ordination way for community ordination.
Keywords:polar ordination  position vectors ordination  forest community  similarity matrixpolar ordination  position vectors ordination  forest community  similarity matrix
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