摘要
为结合立地因子建立杉木人工林优势高生长模型,以福建南平各县市的杉木人工林为研究对象,采用灰色关联度分析法测算各立地因子与优势高的关联度,计算各标准地的立地因子总分值B。用人工神经网络和Richards方程两种方法建立杉木人工林优势高生长模型,并将总分值B分别加入这两种模型。结果表明:加入B后两个模型的模拟精度都较为显著的提高,残存分布更均匀,可应用到其他与立地因子关系密切的林分模型的建设。
In order to build dominant height growth model for Chinese fir plantation that takes site factors as independent variable,this research calculates relational degree between each site factors and dominant height and total score B for site factors with every sample plot by using grey relation analysis,which takes Chinese fir plantation in core productivity zone of Nanping of Fujian Province as research object.This research establishes dominant height growth model with two methods,one is based on artificial neural network,while the other is based on Richards equation,and total score B is added to the two models respectively.Results show that simulation accuracies of two models which are added to total score B are improved significantly,and the residual distributions are more uniform,which can be applied to construction of other stand models that are close to site factors.
作者
廖世涛
LIAO Shitao(School of Computer and Information,Fujian Agriculture and Forestry University,Fuzhou,Fujian 350002)
出处
《武夷学院学报》
2021年第6期40-43,共4页
Journal of Wuyi University
基金
福建省教育厅省中青年教师教育科研项目(JT180124)。
