%0 Journal Article %T Biomass allocation of Leymus chinensis population: A dynamic simulation study
羊草种群生物量分配动态模拟 %A PING Xiao-yan %A JIA Bing-rui %A YUAN Wen-ping %A WANG Feng-yu %A WANG Yu-hui %A ZHOU Li %A XU Zhen-zhu %A ZHOU Guang-sheng %A
平晓燕 %A 贾丙瑞 %A 袁文平 %A 王风玉 %A 王玉辉 %A 周莉 %A 许振柱 %A 周广胜 %J 应用生态学报 %D 2007 %I %X Based on a greenhouse simulation experiment, this paper studied the dynamics of the above- and below-ground biomass of Leymus chinensis populations with four planting densities (120, 240, 360 and 480 plants x m(-2)). The results showed that the above- and below-ground biomass of L. chinensis populations had an increasing trend with the growth, and increased with increasing planting density. However, the relative growth rates (RGRs) of the above- and below-ground biomass did not show significant difference among the L. chinensis populations. The ratio of root to shoot (RRS) of the L. chinensis populations increased with their growth, but did not show significant difference among the planting densities, implying that environmental factors were the controlling factors for RRS. There existed significant power function relationships between the above- and below-ground biomass of L. chinensis individuals and populations, but the power function indices and coefficients varied with the planting density. It was suggested that the difference of microenvironment resulted from resources competition could induce the changes of L. chinensis RRS, and the latter could be used as a reference to quantitatively study the allocation of photosynthetic products. %K Leymus chinensis population %K biomass %K biomass allocation %K ratio of root to shoot %K simulation
羊草种群 %K 生物量 %K 生物量分配 %K 根冠比 %K 模拟 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=42FEDDFE54F8BCD9D5FD1926ABDD7722&aid=D8D30CAAC620FB400D557869BB661529&yid=A732AF04DDA03BB3&vid=13553B2D12F347E8&iid=59906B3B2830C2C5&sid=4976C1248A5410A0&eid=45CB7E0782363B9E&journal_id=1001-9332&journal_name=应用生态学报&referenced_num=2&reference_num=30