北京九龙山不同林分树高与胸径相关生长关系分析

摘要

Based on the power function H=aDb, the allometric relationship between tree height(H) diameter at breast height(D) of different stand in Beijing Jiulong mountain was studied. The results show that, in 5 out of 12 plots (including Larix kaempferi, Quercus variabilis, Acer mono and Tilia mandschurica forest, Pinus tabulaeformis and broadleaf mixed forest), the allometric scaling index between H and D supported the predicted value (2/3) of elastic similarity(ES) and fractal network model(WBE), while only 2 plots (eg. Pinus sylvestris forest, Platycladus orientalis and Acer mono mixed forest) supported the stress similarity model (SS) and no data supported the geometry similarity model (GS). Other 5 plots (including Fraxinus chinensis, Larix principis-rupprechtii, Platycladus orientalis and Pinus tabulaeformis forest, Fraxinus chinensis and Larix principis-rupprechtii mixed forest) not supported any of four relevant models. Both univariate and multivariate linear regression analysis show that both habitat and stand factors did not have significant influence on the allometric scaling index. It can be concluded that comparing with SS and GS, the ES and WBE are more suitable for describing the allometric relationship between H and D of different stand in Beijing Jiulong mountain.%基于幂指数H=aDb对北京九龙山不同林分的树高与胸径相关生长关系进行了分析。结果表明，在12种不同林分中，日本落叶松、栓皮栎、五角枫、糠椴及油松与阔叶树混交林等5种林分的相关生长指数支持弹性相似模型和分形网络模型的预测值2/3，仅有樟子松林及侧柏与五角枫混交林的相关生长指数支持应力相似模型的预测值1/2，无林分数据支持几何相似模型的预测值1，剩余5种林分（侧柏、油松、华北落叶松、白蜡及白蜡与华北落叶松混交林）不支持4种相关模型中的任何一种；一元和多元线性模型分析表明，各种生境因子和林分因子对树高与胸径生长关系的幂指数都没有显著影响。相对于应力相似和几何相似模型，弹性相似模型与分形网络模型更适合描述九龙山林分的树高与胸径相关生长关系。