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针对树高测定困难且不准确的问题,以东北地区的落叶松实测生物量大样本数据为基础,分别建立一元模型和二元模型,以大样本的树高、胸径实测数据为预测变量,研究模型形式和样本抽取范围对落叶松地上生物量预测的影响。结果表明:一元模型在建模样本抽取的范围内,省级尺度和区域尺度的预测值都和二元模型没有显著差异,而在非建模区域,省级尺度和区域尺度均存在显著差异,且所有径阶一元模型的预测值都大于二元模型。在全部的区域,小径阶树木一元模型的预测值均大于二元模型,在建立模型时应引起重视。
Aiming at the difficult and inaccurate estimation of tree height, based on the large sample data of larch biomass in northeastern China, a one-component model and a two-component model were established respectively. The measured data of tree height and DBH of large samples were used as predictors. Influence of Model Form and Sample Extraction Range on Prediction of Aboveground Biomass of Larix gmelinii. The results show that the predictive values of the provincial scale and the regional scale are not significantly different from those of the binary model within the scope of the model sample extraction. However, in the non-modeling region, there are significant differences between the provincial scale and the regional scale. And the predictions of all the one-dimensional models are larger than the binary models. In all the regions, the forecast value of the one-dimensional model of small-diameter tree is larger than that of the binary model, which should be paid attention to in establishing the model.