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[Growth mechanisms of two ecotype Leymus chinensis populations in Songnen Plain].

Authors: Chan, Zhou; Yunfei, Yang;

[Growth mechanisms of two ecotype Leymus chinensis populations in Songnen Plain].

Abstract

The study showed that there was a power function relationship between weight per tiller and density of two ecotype Leymus chinensis populations in Songnen Plain, and the b value in the function (-0.098 approximately -0.272) was bigger than -1. The biomass and weight per tiller of the two populations increased with their increasing density and height, and the relationships between biomass and density, and between weight per tiller and height were significantly accorded with power or liner function. In the period of vegetation growth, the biomass and weight per tiller of the two populations had the smallest change speed, and the b value of grey-green ecotype (0.7872 and 0.0134) was smaller than that of yellow-green ecotype (0.8793 and 0.0222). On the contrary, in the period of post-fruiting vegetation growth, the b value of grey-green ecotype (0.8048 and 0.0303) became bigger than that of yellow-green ecotype (0.7796 and 0.0258). It was suggested that the two ecotype L. chinensis populations did not reach environment capacity in the sampling field. They kept on growing during the whole growth period, with the same growth pattern, and grey-green ecotype had a stronger potential capability of growing.

Related Organizations
Keywords

China, Population Dynamics, Biomass, Poaceae, Ecosystem

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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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