中国农业气象

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主成分分析法在植株液流影响因素研究中的应用

谢恒星;张振华;杨润亚;刘继龙;李清翠;   

  1. 鲁东大学地理与资源管理学院,鲁东大学地理与资源管理学院,鲁东大学生命科学学院,鲁东大学地理与资源管理学院,鲁东大学地理与资源管理学院 山东烟台264025,山东烟台264025,山东烟台264025,山东烟台264025
  • 出版日期:2006-06-10 发布日期:2006-06-10
  • 基金资助:
    烟台师范学院重点基金项目(043201);; 人才引进基金(000444);; 鲁东大学大学生科技创新基金

Application of Principal Components Analysis in Effect Factors of Trunk Sap Flow

XIE Heng-xing~1,ZHANG Zhen-hua~1,YANG Run-ya~2,LIU Ji-long~1,LI Qing-cui~1(1.College of Geography and Resources Management of Ludong University,Yantai 264025,China;2.College ofLife Science of Ludong University)   

  • Online:2006-06-10 Published:2006-06-10

摘要: 利用美国DYNAMAX公司产DYNAGAGE包裹式茎流测量系统和澳大利亚产MONITOR自动气象站于2005年8月20日-9月21日测量了鲁东大学校内一株典型龙爪槐的液流量和微环境气象条件,并利用主成分分析法对液流量数据及其微环境气象因子数据进行了分析。结果显示:影响植株液流量的环境因子可以分为太阳辐射和空气湿度两个主成分,据此构造的综合环境影响因子与液流量回归分析效果较好,决定系数为0.867;与太阳总辐射、光合有效辐射、温度、湿度和风速等5个气象因子与液流量的回归效果相比,综合环境影响因子与液流量的回归效果更好。

关键词: 主成分分析法, 植株液流, 气象因子, 综合环境影响因子, 回归分析

Abstract: DYNAGAGE packaged sap flow system produced in DYNAMAX company of America and MONITOR auto weather station were applied to measure the sap flow flux of trunk and micro-environmental meteorological factors from 20th August to 21st September in Ludong University,and the sap flow and micro-environmental meteorological data were analyzed with the principal components analysis method.Results showed that the environmental factors affected trunk sap flow could be divided into two principal components,the solar radiation and the atmospheric humidity.The comprehensive effect factors were highly related to the sap flow flux by the regression analysis.The coefficient of determination was 0.867.The result of regression analysis of comprehensive environmental factor with sap flow flux was compared with total solar radiation,photosynthesis available radiation,air temperature,relative humidity and wind speed.Results showed that comprehensive environmental factor was a reasonable index for sap flow flux's predicting in short time.

Key words: Principal components analysis, Principal components analysis, Sap flow flux, Meteorological factor, Comprehensive environmental factor, Regressive analysis