基于SPSS相容性林分生物量非线性模型研究

林分生物量是森林生态系统最基本的数量特征,是研究许多林业问题和生态问题的基础.建立林分生物量模型是进行林分生物量估测的主要手段.以往所构建模型存在一个严重的缺陷,即各分量模型与总量模型之间不相容.本研究根据闽江流域杉木林分的生物量实测数据,从模型相容性的定义出发,分析各分量的代数关系,利用SPSS统计分析软件构建了林分各分量的相容性模型.研究结果表明:利用SPSS统计分析软件能够快速地构建各种林分非线性模型;本研究所构建的相容性林分生物量非线性模型预测精度较高,可用于实际生产中,且所采用的方法具有较好的通用性.

Study on compatible nonlinear stand biomass model based on SPSS

Stand biomass which is the foundation of researching many forestry and ecology problems is a basic quantity character of the forest ecological system.Establishing biomass models is a major way to stand biomass estimation.There was a serious shortcoming in the models established previously.The biomass estimators of stem,branch,leaf are not compatible with total biomass estimator.According to stand biomass data of Cunninghamia lanceolata(Lamb.) Hook measured in Minjiang watershed,based on the compatibility of models,the relations of each component were analyzed,and the stand biomass compatible models were established by using SPSS analysis software.The results show that all nonlinear forest models can be established quickly by using SPSS analysis software,and the precisions of the compatible stand biomass nonlinear model which can be used in practice are superior,and the method has superior universality.