This paper aimed at testing and adjusting the allometric models for the biomass estimate in deciduous forest. The data result from seven 12 x 12 m plots, where 91 trees were cut down. Their diameter at breast height (DBH) was greater than 5 cm, and the measurement was made based on the DBH, total height (H) and total dry biomass (DAB) for each individual. The adjusted equations, without stratification, present an adjusted determination coefficient (R2aj) between 0.726 and 0.972, and estimate standard error in percentage (Syx%) ranging from 33.5 to 119.6. The best-adjusted model for the non-stratified data set was obtained through the Stepwise procedure, which resulted in the following equation: dab = β0 + β1.(DBH3) + β2.H + β3.(DBH3.H), with R2aj of 0.954 and Syx% of 44.0. For the stratified form, only the diameter class above 15 cm presented acceptable parameters, with R2aj of 0.968 and Syx% of 26.5.? That way, the current database has shown good results in the adjustment of stochastic models to estimate the DAB of each tree.
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机译：本文旨在测试和调整用于落叶林生物量估计的异度模型。数据来自七个12 x 12 m的地块，其中砍伐了91棵树。它们在胸高处的直径（DBH）大于5 cm，并且根据每个人的DBH，总身高（H）和总干生物量（DAB）进行测量。调整后的方程式无分层，调整后的确定系数（R2aj）在0.726至0.972之间，并且估计的标准误差百分比（Syx％）在33.5至119.6之间。通过逐步过程获得了针对非分层数据集的最佳调整模型，得出的公式如下：dab =β0+β1。（DBH3）+β2.H+β3。（DBH3.H），R2aj 0.954和Syx％为44.0。对于分层形式，只有直径在15 cm以上的等级才显示可接受的参数，R2aj为0.968，Syx％为26.5。这样，当前数据库在调整随机模型以估计每棵树的DAB方面已显示出良好的结果。
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