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Branch characteristics of widely spaced Douglas-fir in south-western Germany: Comparisons of modelling approaches and geographic regions

机译:德国西南部宽阔的花旗松的分支特征:建模方法和地理区域的比较

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Models of Douglas-fir branch and whorl characteristics were developed from contrasting spacing experiments in southwest Germany. The dataset was based on 100 young (20-30 years old), unpruned and partially pruned trees from a 100, 200, and 1200stemsha super(-) super(1) spacing experiment on Douglas-fir that was replicated 3 times across the region. The material was used to predict (1) the number of branches whorl super(-) super(1), (2) branch angle, (3) status (living/dead) of the branches within the living crown, (4) maximum branch diameter whorl super(-) super(1), and (5) relative diameter of branches within a whorl. For each of these models (except branch status), both a linear and nonlinear, generalised hierarchical mixed effects equation was developed. The comparison of the linear and nonlinear approaches showed that both had a relatively similar level of bias, but the nonlinear equations generally performed better (reduction in mean absolute error of 1.1-69.5%). Overall, individual branch and tree properties were sufficient to give logical and precise predictions of the branch characteristics for the models across the range of sampled stand densities. In addition, the models showed a similar behaviour compared to models on Douglas-fir crown structure from the Pacific Northwest, USA. This suggests that the allometric relationship between tree size and branch characteristics for a given species may be relatively consistent across regions, even ones with highly contrasting growing conditions like in this study. The models performed well across a range of stand conditions and now will be further integrated into an individual tree growth and yield simulations system.
机译:通过对比德国西南部的间隔实验,建立了道格拉斯冷杉分支和轮生特性的模型。该数据集基于在道格拉斯冷杉上进行的100、200和1200根茎的super(-)super(1)super(-)super(1)间距实验中的100棵未修剪和部分修剪的树(100棵年轻(20-30岁)),该实验在该区域重复了3次。该材料用于预测(1)超级旋转的分支螺旋数(-),(1),(2)分支角度,(3)活冠内部分支的状态(活/死),(4)最大分支直径螺纹super(-)super(1)和(5)螺纹内分支的相对直径。对于这些模型中的每一个(分支状态除外),都开发了线性和非线性广义分层混合效应方程。线性方法和非线性方法的比较表明,两者都有相对相似的偏差水平,但非线性方程式通常表现得更好(平均绝对误差降低1.1-69.5%)。总体而言,各个分支和树的属性足以在整个范围内对模型的分支特征进行逻辑和精确的预测。此外,与美国西北太平洋地区道格拉斯冷杉冠结构上的模型相比,这些模型表现出相似的行为。这表明,给定物种的树木大小与分支特征之间的异形关系可能在整个地区相对一致,即使像本研究中那样具有高度对比的生长条件。该模型在各种林分条件下表现良好,现在将进一步集成到单个树木生长和产量模拟系统中。

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