杉木生长的起伏型时间序列模拟研究

应用生态学报 ›› 2001, Vol. ›› Issue (5): 659-662.

杉木生长的起伏型时间序列模拟研究

吴承祯¹, 洪伟¹, 姜志林²

1. 福建农林大学林学院, 南平 353001;
2. 南京林业大学森林资源与环境学院, 南京 210037

收稿日期:2000-01-10 修回日期:2000-04-10 出版日期:2001-09-25
通讯作者: 吴承祯,1970年生,教授,博士.主要从事数量生态学与森林生态学、环境科学等领域研究,发表学术论文100余篇.E-mail:zjWucz@public.npptt.fj.cnl
基金资助:
福建省自然基金资助项目(B0010021).

Simulation of Cunninghamia lanceolata growth by wave-type time series analysis

WU Chengzhen¹, HONG Wei¹, JIANG Zhiling²

1. College of Forestry, Fu jian Agriculture and Forestry University, Nanping 353001;
2. College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037

Received:2000-01-10 Revised:2000-04-10 Online:2001-09-25

摘要/Abstract

摘要： 起伏型时间序列法是一种新的时间序列分析法,本文介绍了起伏型时间序列林木模拟与预测方法.以杉木人工林生长为研究对象,对杉木胸径生长进行建模模拟,模拟精度达到98.3%,结果令人满意,且比逐步回归法、多维时间序列分析法模拟效果更优,说明起伏型时间序列分析方法可应用于林木生长模拟与预测,从而丰富了林木生长预测与预报方法.

Abstract: Wave type time series analysis is a new method of time series analysis.With Cunninghamia lanceolata plantation as research objective,the analysis of wave type time series to simulate its growth was introduced in this paper.The model of Cunninghamia lanceolata growth was deduced, and its simulation precision reached 98.3%,which was satisfactory,and better than that of stepwise regression and multidimensional time series analyse.The results showed that wave type tim e series analysis could be used to simulate forest growth,and enrich the method s of simulating forest growth.

中图分类号:

Q141

吴承祯, 洪伟, 姜志林. 杉木生长的起伏型时间序列模拟研究[J]. 应用生态学报, 2001, (5): 659-662.

WU Chengzhen, HONG Wei, JIANG Zhiling. Simulation of Cunninghamia lanceolata growth by wave-type time series analysis[J]. Chinese Journal of Applied Ecology, 2001, (5): 659-662.

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