| 引用本文: | 李 峰 梁士楚 王丽君 张忠华 胡 刚.广西阳朔岩溶石山阴香幼苗的形态特征及其生物量[J].广西植物,2008,(6):785-789.[点击复制] |
| LI Feng, LIANG Shi-Chu, WANG Li-Jun,
ZHANG Zhong-Hua, HU Gang.Morphological characteristics and biomass allocation of Cinnamomum burmannii seedlings on the karst hills of Yangshuo County, Guangxi[J].Guihaia,2008,(6):785-789.[点击复制] |
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| 摘要: |
| 对广西阳朔岩溶石山阴香幼苗的株高、基径、叶片数和叶面积等形态因子的数量特征以及根、茎、叶和全株生物量进行了较为系统的研究。结果表明,株高、基径、叶片数、叶面积的平均值分别为21.96 cm、1.52 mm、6.06、57.84 cm2; 根、茎、叶和全株生物量的平均值分别为0.061 3 g、0.109 4 g、0.168 3 g和0.339 0 g; 除株高和基径呈现正态分布外,其余的各项指标呈现正偏态分布。根据实测的数据,采用一元线性回归、多元线性回归和幂函数回归分别拟合了阴香幼苗主要形态因子之间以及形态因子与生物量之间的回归方程,所得到的回归方程均达到0.01的显著水平。 |
| 关键词: 阴香 幼苗 形态特征 生物量 回归方程 |
| DOI： |
| 分类号:Q948.1 |
| 基金项目: |
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| Morphological characteristics and biomass allocation of Cinnamomum burmannii seedlings on the karst hills of Yangshuo County, Guangxi |
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LI Feng, LIANG Shi-Chu*, WANG Li-Jun,
ZHANG Zhong-Hua, HU Gang
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College of Life Sciences, Guangxi Normal University, Guilin 541004, China
College of Life Sciences, Guangxi Normal University, Guilin 541004, China
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| Abstract: |
| The morphological characteristics and biomass allocation were investigated for seedlings of Cinnamomum burmannii on the karst hills of Yangshuo County,Guangxi. The results showed that mean values of plant height,basal diameter,leaf number,leaf area,root biomass,stem biomass,leaf biomass and total biomass were 21.96 cm,1.52 mm,6.06,57.84 cm2,0.061 3 g,0.109 4 g,0.168 3 g and 0.339 0 g,respectively. Plant height and basal diameter showed a pattern of normal distribution,while other quantitative indices,such as leaf area,leaf number and the biomass of root,leaf,stem and whole plant,showed a pattern of positive skew distribution. Based on the measured data,linear regression,multiple linear regression and power regression were used to model the relation among morphological factors of the seedlings and the relation between morphological factors and biomasses. The regression equations obtained were significant at 0.01 level. |
| Key words: Cinnamomum burmannii seedlings morphological characteristics biomass regressive equations |
