浙江次生青冈林林木层的生物量模型及其分析

STUDIES ON THE BIOMASS MODELS OF THE TREE STRATUM OF SECONDARY CYCLOBALANOPSIS GLAUCA FOREST IN ZHEJIANG

笔者用收获法对浙江建德山区的天然次生青冈常绿阔叶林群落的第一性生产力进行了研究。本文报道了林木层样木的生物量优化回归模型,并对模型进行了分析、检验和估算。结果表明,立木各器官变量之间存在着很好的相对生长关系;进行分层次、种类(组分)和自变量的模型选优是十分必要的;各种模型都有较高的精度,可以对该群落的生物量作出有效的估计;种间模型的有效组合适用于亚乔木层的种类和乔木层的伴生种类;种类(组分)间的模型差异与它们在群落中所处的地位或所起作用密切相关;净第一性生产力在各器官中的分配比例是植物群落结构与功能在种间关系、生态位分化和种群动态特征上的综合反映。

The forest dominated by Cyclobalanopsis glauca is one of the main types of the subtropical evergreen broad-leaved forests in China, The studies on the primary productivity of the community have been completed with harvesting method. In this paper, a group of optimized regression biomass models for the tree and subtree layer were reported. The models were also analysed, examined and evaluated. The results showed that there is an allometric growth relationship among the organ variables. It is essential to establish various optimized biomass models using the regression analysis method on the basis of various layers, species and variables. The models are relatively of high accuracy and can effectively predict the biomass of the community. The effective combination of the interspecific models are suitable for subtrees and companion trees. The model differences among species are closely related to their states and function in the community. The distribution ratio of net primary productivity in various organs is the synthetical reflection of the community structure and function in interspecific relationship, niche differentiation and population dynamics.