以内蒙古自治区的常见灌木种柠条(Caragana microphylla)为研究对象,基于大样本的生物量实测数据,利用非线性误差变量联立方程组方法,建立了单株水平的地上生物量模型及其相容的地下生物量模型和根茎比模型,并建立了基于平均植冠面积和密度或覆盖度的群落水平的总生物量模型。结果表明:植冠面积是影响单株生物量的首要因子,其次才是丛生枝个数;基于植冠面积和丛生枝个数的单株地上生物量模型,其确定系数能接近0.7,但地下生物量模型的确定系数要低些,还不到0.5;单株地上生物量和地下生物量模型的平均预估精度均能达到90%左右,总生物量的平均预估精度能达到92%以上,完全可用于内蒙古自治区范围内柠条灌木林的生物量估计。以单株总生物量模型为基础,直接推导出不同密度或覆盖度的群落总生物量模型,可为建立群落水平的灌木生物量模型提供借鉴。
Based on the mensuration biomass data of the common shrub species,Caragana microphylla,in Inner Mongolia of China,the individual compatible above and underground biomass models and root-to-shoot ratio model were developed firstly using the approach of nonlinear error-in-variable simultaneous equations.The community-level whole biomass models based on mean canopy area and stem density or canopy closure were constructed.The results showed that:1)the canopy area was the most important factor related to shrub biomass,and the next was number of stems;2)the determination coefficient of individual aboveground biomass model based on canopy area and number of stems was close to 0.7,but that of underground biomass model was relatively lower,even less than 0.5;3)the mean prediction precisions of individual above and below-ground biomass models were about 90%,and that of whole biomass model was more than 92%,indicating that the biomass models could be applied in shrub biomass estimation for the species in Inner Mongolia;4)the approach of deriving community-level whole biomass models from individual whole biomass model could provide a reference for modeling community-level biomass for shrub species.
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