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A reduced growth model based on stand basal area. A case for hybrid poplar plantations in northeast Spain

机译:基于林分基础面积的减少的增长模型。西班牙东北杨树人工林的一个案例

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Whole-stand models normally require data on initial stand basal area and dominant height. Dominant height measurements are time-consuming and often imprecise, compromising subsequent predictions. Poplar plantations provide a special case where basal area correlates with site index; a whole-stand model could thus be based on stand basal area. We report a static model constructed by the generalized algebraic difference approach (GADA) for poplar plantations for three different hybrid poplars (Populus c euramericana (Dode) Guinier I-214, MC, and Luisa Avanzo) in northeast Spain. The transition function was based on current stand basal area and was fitted with data from 158 permanent plots ranging from 1- to 17-year-old plantations. Merchantable stand volume was estimated by a volume equation where height was predicted by a height-basal area relationship based on 458 temporary plots. The model differences between clones were compared using the nonlinear extra sum of squares method. Significant differences were detected, while Luisa Avanzo presented the highest merchantable volume at the end of the rotation. Errors in basal area predictions were below 20% within 6 years in the case of Luisa Avanzo and MC clones, and within 3 years in the case of I-214. Our research showed that satisfactory predictions can be obtained using GADA with a single transition function based on an easily measurable variable such as stand basal area.
机译:整站模型通常需要有关初始站基础面积和优势高度的数据。占优势的高度测量非常耗时且不精确,从而损害了后续的预测。杨树人工林提供了一个特殊情况,即基础面积与立地指数相关。因此,整个林分模型可以基于林分基础面积。我们报告了由广义代数差异法(GADA)为西班牙东北部三种不同的杂交杨树(Populus c euramericana(Dode)Guinier I-214,MC和Luisa Avanzo)的杨树人工林构建的静态模型。过渡函数基于当前林分基础面积,并拟合了158个永久性地块的数据,范围从1到17岁的人工林。可贸易展台的体积是通过体积方程式估算的,其中高度是根据458个临时图通过高度与底面积的关系来预测的。使用非线性额外平方和方法比较了克隆之间的模型差异。发现了明显的差异,而Luisa Avanzo在轮换结束时展示了最高的可交易量。对于Luisa Avanzo和MC克隆,在6年之内和在I-214的3年之内,基础区域预测的误差均低于20%。我们的研究表明,基于具有简单可测变量(如林分基础面积)的单个转换函数的GADA可以获得满意的预测。

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