应用4种数学方法对暗针叶云杉林分生境属性的研究

应用多元线性分析、逐步回归分析、主分量分析和数量化理论(Ⅰ)4种数学方法,定量比较分析了云杉分布区、地貌、土壤和植被类型等11个生境因子与地位指数、林分蓄积量、乔木层生物量、林分生物量4个生产力指标,结果表明4种数学方法均可用于生境条件分类因子的筛选,且尤以数量化理论(Ⅰ)方法较为直观,可揭示生境因子间对生产力贡献大小,通过对因子内分级(类目)后从各类目得分值大小,反映出各生境因子内不同等级对生产力贡献的差异。类目的划分标准可直接用于类型间等级尺度,该方法与系统聚类或Fuzzy聚类相结合,构成生境分类方法的完整系统。

Analysis on the environmental property of Picea asperata stand through four mathematical methods

11 environmental factors including distribution,physiognomy,soil and vegetation type,etc.and four(productivity) indicators of status index, stand volume,biomass of tall trees and stand biomass are compared quantitatively through four mathematical methods of multi-linear regression analysis,stepwise regression,principal components analysis and the quantitative theory.All of the four mathematical methods can be applied in eliminating the environmental factors,but the quantitative theory is more visual.It shows not only the contribution of environmental factors to productivity but also the contribution difference of productivity due to the classification of sub-items within environmental(factors.) The(criteria) of sub-items classification combined with system clustering(or) Fuzzy clustering can also be directly applied in the (ranking) measures between sub-items,which forms the complete system of the environmental classification methods.