缙云山大头茶幼苗种群构件结构及与环境因子的多元分析

MULTIVARIATE ANALYSIS OF THE ECOLOGICAL FACTORS AND THE MODULAR STRCTURE OF GORDONIA ACUMENATA YOUNG TREE POPULATION IN MOUNTAIN JINYUN, SICHUAN, CHINA

基于构件理论，采用灰色关联度分析技术，对四川缙云山１９８９年风灾迹地林窗内大头茶（Ｇｏｒｄｏｎｉａａｃｕｍｅｎａｔａ）幼苗种群构件结构及其与环境因子的关系进行了研究。结果表明，四川缙云山大头茶幼苗种群构件结构主要分为一级枝、二级枝、当年生枝、空间结构、叶片等几大部分，分别可以以一级枝数或茎粗或长度、二级枝数或基粗或长度、当年生枝数、３年生一级枝数、总叶数等的变化特征来表达其动态特点。前四者间的相关性亦很高，后者（包括主茎上叶面积）和主茎上第一一级枝离地面高、主茎上第一叶距地高为比较稳定的特征，受其它生态因子作用影响不十分显著。相对而言，土壤全Ｎ、全Ｐ、全Ｋ、有机质含量及其ｐＨ值是比较关键的环境因子；而海拔高度和林自大小及地形坡度却比较次要。灰色关联度分析不失为一种比较简捷而有效的分析植物种群构件结构特征间及与环境因子间关系的方法。

Oh the basis of the theory of modularity and with the analysis of relatedness degree adopted in the grey system theory, the correlation of the ecological factors and the modular structure of young tree population of Gordonia acumenata in the slash, which was created by a windstorm on Mt. Jinyun in 1989,was investigated. The results show that the modular structure of four years old Gordonia acumenata population consisted mainly of five components, i. e.first grade branch system, second grade branch system, present year branch system, spatial structure system and leaf system. They could be expressed by the dynamic features such as the number or total diameter or total length of the first grade branches, the number or total diameter or total length of the second grade branches, the number of present year branches, the first grade branches of three years old, and the total number of leaves, respectively. The correlation among the,former four components were very outstanding. The last one,including the area of the leaves situated on stem, the height of the first grade branch and the height of the first leaf on stem, were relatively stable and were slightly affected by other factors. Generally, the total N, total P, total K, organic matter content and pH-value of soil were more important, as compared with elevation, size of gap and slope gradient of the sample plot. Analysis of grey relatedness degree is simple and direct technique to research the correlation among the modular structure of plant population and ecological factors.To some extent, multiple linear regression can express the quantitative relation and mechanism of the action of them.