中文摘要：

以中国科学院千烟洲生态试验站林下常见的16种物种作为研究对象,构建了单一物种以植冠面积（Ac）为变量的二次方程和以植冠投影体积（Vc）为变量的乘幂方程来估算物种生物量,以及16种物种的混合模型来估算其生物量,并将最佳生物量估算模型应用于不同森林内灌木层生物量的估计.不同森林的灌木层生物量组成存在较大差异.以物种单一模型计算的落叶阔叶林、次生林、人工针叶林灌木层的生物量分别为4773、3175和733kg·hm^-2;以物种混合模型估算的结果略低于单一模型,分别为3946、2772和840kg·hm^-2.混合模型在未能对所有物种建立单一模型的情况下估算灌木层生物量时,具有简便、实用性的特点.

英文摘要：

With 16 familiar species of understory shrub at Qianyezhou ecological experimental station in red soil hilly region under Chinese Academy of Sciences as test objects, crown area （Ac ） and projected volume （ Vc ） were used as the variables for building quadratic and power allometric equations, respectively, to estimate the biomass of individual populations, and mixed-model was used to estimate the biomass of the 16 species. The best-fit models were applied to estimate the biomass of understory shrub in different forest types. The results showed that the biomass of shrub layer varied significantly among different stand types. With species-specific models, the biomass in deciduous, secondary, and coniferous forests was estimated as 4 773, 3 175 and 733 kg · hm^-2, respectively ; while with mixed model, the estimation result was a little lower, being 3 946, 2 772 and 840 kg · hm^-2, respectively. Under the conditions of species-specific models being not established, mixed model was more convenient and practical in estimating the biomass of understory shrub.