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Biomass equations for birch in Finland.

机译:芬兰桦树的生物量方程。

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Biomass equations were compiled for the above- and belowground tree components of birch (Betula pendula and B. pubescens). The equations were based on 127 sample trees in 24 birch stands located on mineral soil sites in Finland. The study material consisted of 20 temporary plots and 10 plots from four thinning experiments with different thinning intensities (unthinned, moderately and heavily thinned plots). The equations were estimated for the following individual tree components: stem wood, stem bark, living and dead branches, foliage, stump, and roots. In the data analysis, a multivariate procedure was applied in order to take into account the statistical dependency among the equations. Three multivariate variance component models were constructed for the aboveground biomass components, and one for the belowground biomass components. The multivariate model 1 was mainly based on tree diameter and height, and in the multivariate models 2 and 3 additional commonly measured tree variables were used. The equations provided logical biomass predictions for a number of tree components, and were comparable with other functions used in Finland and Sweden. The applied statistical method generated equations that gave more reliable biomass estimates than the equations presented earlier. Furthermore, the structure of the multivariate models enables more flexible application of the equations, especially for research purposes.
机译:针对桦木的地上和地下树成分( Betula pendula 和 B。pubescens )编制了生物量方程。这些方程式基于位于芬兰矿质土壤站点上的24个桦木林分中的127个样本树。研究材料包括20个临时样地和来自四个不同稀疏强度的稀疏实验的10个样地(未稀疏,中度和重度稀疏的样地)。该方程是针对以下树木个体进行估算的:茎木,茎皮,活枝和枯枝,树叶,树桩和根。在数据分析中,为了考虑方程之间的统计依赖性,应用了多变量程序。针对地上生物量组分构建了三个多元方差分量模型,针对地下生物量组分构建了一个多元方差模型。多元模型1主要基于树的直径和高度,而在多元模型2和3中,使用了其他常用的树木变量。这些方程式提供了许多树木成分的逻辑生物量预测,并且可与芬兰和瑞典使用的其他函数相提并论。应用的统计方法生成的方程比以前提供的方程提供了更可靠的生物量估计。此外,多元模型的结构使方程的应用更加灵活,特别是出于研究目的。

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