1999Chinese Journal of Appplied Environmental BiologyRequires access

QUANTITATIVE ANALYSIS TO THE GRADIENTS OF SPACE AND TIME OF NATURAL PLANT COMMUNITIES IN BASHUIGOU OF THE GUANDI MOUNTAIN

Qiu Yang

Open publisher page 5 citations

Abstract

Based on Detrended Correspondence Analysis (DCA) ordination, the natural plant communities in Bashuigou landscape of the Guandi Mountain, Shanxi province are divided into 7 types with the method of Ordination Axes Clustering (OAC). It is concluded that the relation between the axes of DCA ordination and environment factors is clearly illustrated by Multiple Linear Regression. The result from the Analysis of Variance and Multiple Comparison shows that the two dimensional plot of the second and third axis obviously expresses the gradients of space and time in the communities. The second axis represents the space gradients of the communities in aspect and slope, but the third axis shows the time gradients of the communities related to forest succession, development of shrub and herbceous layer.

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What this paper is about

Based on Detrended Correspondence Analysis (DCA) ordination, the natural plant communities in Bashuigou landscape of the Guandi Mountain, Shanxi province are divided into 7 types with the method of Ordination Axes Clustering (OAC). It is concluded that the relation between the axes of DCA ordination and environment factors is clearly illustrated by Multiple Linear Regression. The result from the Analysis of Variance and Multiple Comparison shows that the two dimensional plot of the second and third axis obviously expresses the gradients of space and time in the communities. The second axis represents the space gradients of the communities in aspect and slope, but the third axis shows the time gradients of the communities related to forest succession, development of shrub and herbceous layer.

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Available abstract

Based on Detrended Correspondence Analysis (DCA) ordination, the natural plant communities in Bashuigou landscape of the Guandi Mountain, Shanxi province are divided into 7 types with the method of Ordination Axes Clustering (OAC). It is concluded that the relation between the axes of DCA ordination and environment factors is clearly illustrated by Multiple Linear Regression. The result from the Analysis of Variance and Multiple Comparison shows that the two dimensional plot of the second and third axis obviously expresses the gradients of space and time in the communities. The second axis represents the space gradients of the communities in aspect and slope, but the third axis shows the time gradients of the communities related to forest succession, development of shrub and herbceous layer.

Key concepts: Ordination, Detrended correspondence analysis, Gradient analysis, Shrub, Ecological succession, Geographically Weighted Regression, Plant community, Geography

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