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作 者:陶大燕[1] 罗叶红[1] 姚贤宇 汤文艳[1] 叶绍明[1]
机构地区:[1]广西大学林学院,南宁530004
出 处:《广西林业科学》2015年第1期12-17,共6页Guangxi Forestry Science
基 金:国家林业局948项目(2005-4-03);广西林业科技项目(林科字2006-0009)
摘 要:采用标准地定位监测方法,选取不同栽培模式马尾松(Pinus massoniana)肉桂(Cinnamomum cassia)人工复层林上层林冠的叶面积指数、平均叶倾角、直接辐射透过系数、散射辐射透过系数、消光系数等5个冠层因子作为影响下层林分生长的光环境指标,利用主成分分析法研究影响肉桂林分生物量的主要光环境影响因子。结果表明,不同上层密度光环境下的肉桂各器官生物量变化明显;在主成分分析中,马尾松冠层叶面积指数、平均叶倾角和直接辐射透过系数三者的方差贡献率累计达到99.37%,是影响下层林生长的主导光环境因子;肉桂生物量的主成分回归模型具有良好的拟合度,从回归模型中可得出影响肉桂生物量的主要因子是上层林冠层的直接辐射透过系数。Using the standard positioning monitoring method, five upper canopy factors as leaf area index, average leaf angle, transmission coefficient of direct radiation, transmission coefficient of diffuse radiation and extinction coefficient in upper canopy layer from multi-layer forests with Pinus massoniana and Cinnamornum cassia in different cultivating models were chosen as indices that impacted the underlying light condition. By the method of principal component analysis, the main impact factors on biomass of Cinnamomum cassia were researched. The research showed that there was a significant difference among the biomass from different Cinnamomum cassia organs under different upper density light condition. The total variance contribution rate of leaf area index, average leaf angle and transmission coefficient of direct radiation had reached 99.37 % in the principal component analysis, which were the main factors that in- fluenced the underlying light condition. There was a good fitting of the principal component regression model of Cinnamomum cassia's biomass. From the regression model, transmission coefficient of direct radiation in the upper canopy layer was the main factor that influenced the biomass of Cinnamomum cassia.
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