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首页> 外文期刊>Trees. Structure and Function >Microstructure alignment of wood density profiles: an approach to equalize radial differences in growth rate.
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Microstructure alignment of wood density profiles: an approach to equalize radial differences in growth rate.

机译:木材密度剖面的微观结构对齐:一种均衡增长率径向差异的方法。

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摘要

We studied intra-annual wood density profiles of Douglas-fir tree rings (Pseudotsuga menziesii [Mirb.] Franco) in southwestern Germany. Growth rates are variable around the tree circumference. This leads to differences in wood formation, which can be observed in the shape of the density profiles of the same tree ring measured in different radial directions. Due to this spatial variation in density profiles, we need a reliable method to determine an average profile, which preserves the common characteristics of the data. To this end, we developed a multiple interval-based curve alignment (MICA) procedure. It identifies characteristic points within the profiles such as minima, maxima and inflection points. These reference points are shifted gradually against each other within a proportionally defined baseline interval. Using our progressive alignment approach, we are able to calculate an average profile that represents very well the characteristics of all measured curves of a specific tree ring. We applied the procedure to get year-specific average profiles using various trees. This results in representative mean density profiles that preserve the density variations common to all aligned profiles. Individual noise is reduced, thereby enabling the analysis of the impact of weather variations on wood density.
机译:我们研究了德国西南部的道格拉斯杉树年轮( Pseudotsuga menziesii [Mirb。] Franco)的年内木材密度分布。生长速度在树的周围是可变的。这导致木材形成的差异,这可以在沿不同径向方向测量的同一树木年轮的密度分布图的形状中观察到。由于密度分布图的这种空间变化,我们需要一种可靠的方法来确定平均分布图,该方法可以保留数据的共同特征。为此,我们开发了基于多个间隔的曲线对齐(MICA)程序。它可以识别轮廓中的特征点,例如最小值,最大值和拐点。这些参考点在按比例定义的基线间隔内逐渐相对移动。使用我们的渐进式对准方法,我们能够计算平均轮廓,该轮廓很好地代表了特定树环的所有测量曲线的特征。我们应用了该程序,以使用各种树来获取特定年份的平均轮廓。这产生了代表性的平均密度分布图,其保留了所有对齐的分布图共有的密度变化。减少了个体噪音,从而可以分析天气变化对木材密度的影响。

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