采用多种生物量测算模型对临安区杉木Cunninghamia lanceolata的幼龄林、中龄林、近熟林、成熟林的单木各器官和全株杉木的生物量进行估算,从而得到多个生物量估算模型和通用性最佳的模型.拟合结果表明,24种生物量模型均能较好的模拟杉木单木生物量,其中以幂函数模型的拟合效果最好,指数函数模型次之,最后是多项式模型;杉木生物量的最优模型是基于幂函数的5个分器官的模型和1个全株模型.研究结果表明,在通用性方面,杉木幼龄林生物量模型效果不佳,近熟林和成熟林模型效果次之,中龄林效果最好,可用于大范围不同龄组杉木生物量的估算.%In April 2016, 6 sample plots of 20 m × 20 m were established at Cunninghamia lanceolata stand with different age and density in Tianmushan, Lin'an of Zhejiang province for complete enumeration. One analytic wood were selected at each sample plots with different diameter classes. Biomass of organs and whole of individual tree was estimated by different models. Based on data from continuous inventory for national forest resources of Lin'an in 2009, 24 models of biomass estimation had good result of fitting, among them, the power function model had the best effect, followed by the exponential function model and the polynomial model. The result showed that there were five optimal models for C. lanceolata organ biomass and one whole plant model based on the power function.
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