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林木生长的多维时间序列分析
引用本文:吴承祯,洪伟. 林木生长的多维时间序列分析[J]. 应用生态学报, 1999, 10(4): 395-398
作者姓名:吴承祯  洪伟
作者单位:福建林学院资源与环境学系
摘    要:利用多维时间序列分析方法,以影响杉木直径生长的五大主导气象要素作控制因子,建立杉木直径生长的CAR模型,从而对杉木直径生长提前一年作预测,回验结果表明模型准确率很高,为林木生长预测预报提供了一种新方法.

关 键 词:CAR模型  生长过程

Multidimensionaltime series analysis on tree growth
Wu Chengzhen and Hong Wei. Multidimensionaltime series analysis on tree growth[J]. The journal of applied ecology, 1999, 10(4): 395-398
Authors:Wu Chengzhen and Hong Wei
Abstract:By the analysis of multidimensional time series, five important climatic factors were used as control factors in CAR model to forecast the diameter growth of Chinese fir. This model could predict the diameter growth of Chinese fir one year in advance, and the accuracy of forecasting results was quite high. This method may be regarded as a new way for predicting tree growth.
Keywords:CAR model   Growth process.
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