首页> 外文期刊>Southern Journal of Applied Forestry >A mixed-effects model for the dbh-height relationship of shortleaf pine (Pinus echinata Mill.).
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A mixed-effects model for the dbh-height relationship of shortleaf pine (Pinus echinata Mill.).

机译:短叶松树的dbh-height关系的混合效应模型(Pinus echinata Mill。)。

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Individual tree measurements were available from over 200 permanent plots established during 1985-1987 and later remeasured in naturally regenerated even-aged stands of shortleaf pine (Pinus echinata) in western Arkansas and eastern Oklahoma. The objective of this study was to model shortleaf pine growth in natural stands for the region. As a major component of the shortleaf modelling effort, an individual tree-level diameter at breast height (dbh)-total height model was developed in which plot-specific random parameters were fitted using maximum-likelihood methods. The model predicts tree height on the basis of dbh and dominant stand height (which could be obtained from a site-index model). The mixed-effects model approach was found to predict the total height better than the similar models developed previously for this species using ordinary least-squares methods. Moreover, such a model has the appeal of generalization of the results over a region from which the plots were sampled; and also of calibration of parameters for newly sampled stands with minimal measurements.
机译:可以从1985-1987年间建立的200多个永久性地块中进行单独的树木测量,然后在阿肯色州西部和俄克拉荷马州东部的短叶松(Pinus echinata)自然再生的平均年龄林分中重新测量。这项研究的目的是为该地区天然林中的短叶松树生长建模。作为短叶建模工作的主要组成部分,开发了一个单独的树状直径的乳房高度(dbh)-总高度模型,其中使用最大似然法拟合了特定于地块的随机参数。该模型根据dbh和主要林分高度(可以从站点索引模型获得)来预测树高。发现混合效果模型方法比以前使用普通最小二乘法为该物种开发的类似模型更好地预测了总高度。而且,这种模型具有在对样地进行采样的区域上对结果进行泛化的吸引力。以及以最少的测量就可以对新采样的样品台进行参数校准。

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