2010JOURNAL OF WUHAN BOTANICAL RESEARCHRequires access

Quantitative Classification and Ordination of Wetland Vegetation from the Mouth of Fen River to the Yellow River

Guo Xiu

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Abstract

Classification and ordination of the plant community from the mouth of Fen River to the Yellow River were studied using field plots,and two-way indicator species analysis(TWINSPAN) and detrended correspondence analysis(DCA).A total of 78 samples were divided into 18 associations by TWINSPAN and their community characteristics are described below.The results of DCA ordination reflected the relationship between plant community type and the environment gradient and showed that the distribution patterns of the associations were mainly affected by the water gradient of the soil.

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Classification and ordination of the plant community from the mouth of Fen River to the Yellow River were studied using field plots,and two-way indicator species analysis(TWINSPAN) and detrended correspondence analysis(DCA).A total of 78 samples were divided into 18 associations by TWINSPAN and their community characteristics are described below.The results of DCA ordination reflected the relationship between plant community type and the environment gradient and showed that the distribution patterns of the associations were mainly affected by the water gradient of the soil.

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Available abstract

Classification and ordination of the plant community from the mouth of Fen River to the Yellow River were studied using field plots,and two-way indicator species analysis(TWINSPAN) and detrended correspondence analysis(DCA).A total of 78 samples were divided into 18 associations by TWINSPAN and their community characteristics are described below.The results of DCA ordination reflected the relationship between plant community type and the environment gradient and showed that the distribution patterns of the associations were mainly affected by the water gradient of the soil.

Key concepts: Ordination, Detrended correspondence analysis, Wetland, Plant community, Vegetation (pathology), Gradient analysis, Environmental science, Canonical correspondence analysis

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