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木荷光合特性日变化及其与环境因子相关性分析
引用本文:张文标,金则新,柯世省,陈彤,.木荷光合特性日变化及其与环境因子相关性分析[J].广西植物,2006,26(5):492-498.
作者姓名:张文标  金则新  柯世省  陈彤  
作者单位:1. 西南师范大学,三峡库区生态环境教育部,重点实验室,重庆,400715;台州学院生态研究所,浙江,临海,317000
2. 台州学院生态研究所,浙江,临海,317000
3. 台州学院,生态研究所,浙江,临海,317000
摘    要:运用LCA4型便携式全自动光合测定系统,在自然条件下,于9月上旬的晴天里对空旷地生境中木荷叶片光合作用日进程进行测定,结果表明木荷冠层叶片的净光合速率日进程曲线为双峰型,在午间出现明显的“午休”现象。用逐步多元回归方法得到净光合速率日变化的最优化方程为Y=-5.0105+0.0052X1+0.3869X3-0.3576X4(复相关系数R=0.9558,F值=24.6384,显著水平p=0.0004,剩余标准差S=0.7893)。偏相关分析和通径分析表明,光合有效辐射、空气相对湿度和气温与净光合速率的日变化有着极显著或显著的相关关系,是影响光合速率主要的环境因子,影响大小的顺序为光合有效辐射>空气相对湿度>气温。

关 键 词:木荷  净光合速率  环境因子  逐步多元回归  通径分析
文章编号:1000-3142(2006)05-0492-07
收稿时间:2005-04-12
修稿时间:2005-10-14

Diurnal photosynthetic characteristics of Schima superba and its correlation with environment
JIN Ze-xin.Diurnal photosynthetic characteristics of Schima superba and its correlation with environment[J].Guihaia,2006,26(5):492-498.
Authors:JIN Ze-xin
Institution:1. Key Laboratory of the Three Gorge Reservoir Region ms Eco-Environment (Ministry of Education
Abstract:The diurnal variation of photosynthesis of Schima superba in gap condition was studied by the LCA4 Portable Photosynthesis System under natural conditions. The results were as follows:The curve of net photosynthetic rate(Pn)in sun leaves had two peaks,which had an obvious decline of photosynthetic efficiency at noon,in fine days at early September. The mid-depress of Pn was primarily caused by nonstomatal limitations. The optimization equation of the diurnal variation of Pn was attained by the method of stepwise multiple-regression as follows:Y=-5.010 5 0.005 2X_1 0.386 9X_3-0.357 6X_4(R=0.955 8,F=24.638 4,p=0.000 4,S=0.789 3). The analysis of partial correlation and path on Pn and factors showed that the diurnal variation of Pn had significant correlation with photosynthetic effective radiation(Ql)and air relative humidity(RH),respectively. Ql,RH and Ta were the important factors which affected Pn and the order of effecting ability was Ql>RH>Ta.
Keywords:Schima superba  net photosynthetic rate  ecological factor  stepwise multiple-regression analysis of path
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