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Hypsometric approaches to Eucalyptus experiments in Brazil

机译:巴西桉树实验的吸水法

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The objective of this study was to determine the best method to estimate tree height by different hypsometric approaches. This study is a provenance trial with Eucalyptus spp. in a 35-year-old pioneering plantation in the municipality of Lavras, Brazil. The census was taken by measuring the diameter at 1.30 m above ground and total height. All x and y coordinates of the individual trees were obtained and these trees were classified according to their stem quality. The ordinary kriging, co-kriging and ordinary kriging of the residuals generated from the regression models were fitted by an exponential model. The Curtis model was selected for calculating the regression. The best method to estimate the height-diameter relationship was based on the statistical and graphical criteria. The spatial prediction model did not adequately represent the height–diameter relationship. The regression technique was more precise and accurate by inserting variables that helped capture different development standards of the trees. The regression-kriging produced more accurate total height estimates. Inclusion of the stochastic effect in the general spatial behavior of the total height variable helped to capture specific details about the stand. Therefore, this method is recommended for experimental areas.
机译:这项研究的目的是确定通过不同的测压方法估算树高的最佳方法。这项研究是桉树属植物的来源试验。在巴西拉夫拉斯市一个拥有35年历史的开拓性种植园中。通过测量距地面1.30 m处的直径和总高度进行普查。获得了单个树木的所有x和y坐标,并根据它们的茎质量对其进行了分类。回归模型生成的残差的普通克里金法,共同克里金法和普通克里金法通过指数模型进行拟合。选择Curtis模型来计算回归。估计高度与直径关系的最佳方法是基于统计和图形标准。空间预测模型不能充分代表高度与直径的关系。通过插入有助于捕获树木不同开发标准的变量,回归技术更加精确和准确。回归克里格法产生了更准确的总高度估计值。总高度变量的一般空间行为中包含随机效应有助于捕获有关展位的特定细节。因此,建议在实验区域使用此方法。

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