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异速生长模型常用于估计陆地生态系统的生物量。许多热带树种总体异速生长关系已经确定,但是,物种特异和区域特异模型较缺乏。本文发展了物种特异异速生长模型来预测11个本地树种地上生物量。基径(11～28cm)、胸径(9-19cm)和树高作为预测变量。从大小不同的(包括最大的)树木个体中取样。在木材收获过程中,通过破坏性取样获取4,754棵树木的生物量作为因变量。本文用逐步多元回归分析结合反向去除程序来发展模型分别预测树木总生物量、树茎生物量、枝干和细枝生物量。所有树种的生物量-植株大小物种特异回归模型相关性均较高。枝干和细枝生物量模型所需预测项和预测关系较少,但是该模型的预测能力要弱于树茎和整株生物量模型。11个树种中,除了刺槐之外,其他树种总的地上生物量和茎干生物量最优方程的R2>0.70;枝干和细枝生物量方程的R2值在0.749(榆绿木)至0.183(刺槐)之间。应用这些模型估计树木可获得性生物量可以避免破坏性取样,有助于实施树种可持续使用。
Allometric models are commonly used to estimate the biomass of terrestrial ecosystems. The overall allometric relationship has been established for many tropical species, but species-specific and region-specific models are lacking. In this paper, a species-specific allometric model was developed to predict aboveground biomass of 11 native tree species. Base diameter (11 ~ 28cm), DBH (9-19cm) and tree height were used as predictors. Sampling from individuals of different sizes (including the largest). During the timber harvest, the biomass of 4,754 trees was taken as the dependent variable by destructive sampling. In this paper, the model of total tree biomass, tree stem biomass, branch stems and twigs biomass were predicted by stepwise multiple regression analysis combined with reverse removal program. The biomass of all tree species-plant-size species-specific regression models were highly correlated. The predictive and predictive models for branch and twig biomass models are less correlated with predictions, but the predictive power of this model is weaker than that of tree stems and whole plant biomass models. Of the 11 tree species except Robinia pseudoacacia, R2> 0.70 for the optimal aboveground biomass and stem biomass of other tree species; R2 value of the branch and shoot biomass equation ranged from 0.749 (Ulmus pumila) to 0.183 (Locust) between. Using these models to estimate tree availability biomass can avoid destructive sampling and contribute to the sustainable use of tree species.