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首页> 外文期刊>Journal of Forest Research >Long-term growth analyses of Japanese cedar trees in a plantation: neighborhood competition and persistence of initial growth deviations
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Long-term growth analyses of Japanese cedar trees in a plantation: neighborhood competition and persistence of initial growth deviations

机译:人工林中日本雪松的长期生长分析:邻域竞争和初始生长偏差的持续存在

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摘要

The individual growth of tree diameter at breast height (dbh) is analyzed in an even-aged plantation of Cryptomeria japonica from stand age of 45 to 94 years, to examine how the growth of individual trees has been affected by the changes in spacing resulting from thinning operations. At any age, a significant proportion (0.37–0.46) of the variation in dbh growth during a 5–11-year period was explained by dbh at the beginning of the period, probably due to greater leaf mass of larger trees. Next, either one-sided or two-sided competition was added to the model, by calculating the basal area (BA) of neighboring trees around each tree within a given radius or BA for trees having larger dbh than the focal tree within the radius. After preliminary analyses, a radius of 8 m was selected as the critical range for tree competition. Although both types of competition explained a significant proportion (0.09–0.43) of growth variation, one-sided competition was not significant at ages greater than 54 years. Based on the model at 45 years of age, the initial deviation of growth rate for each tree from the predicted rate was calculated and added to the models as a third variable. This raised the coefficient of determination up to 0.50–0.74. These findings have practical significance for forest plantation management, particularly for controlling the growth of standing trees via thinning, to produce high-quality timber in the future.
机译:在年龄为45至94岁的日本柳杉均匀种植园中,分析了在胸高(dbh)处树木直径的个体生长,以检查个体树木的生长如何受到由间距引起的间距变化的影响细化操作。在任何年龄,在5-11年期间dbh生长变化的很大一部分(0.37–0.46)可以由dbh在该时期开始时解释,这可能是由于较大树木的叶片质量更大。接下来,通过计算给定半径内每棵树周围的相邻树的基础面积(BA),或计算半径大于焦点树内dbh的树的BA,向模型中添加单侧或双面竞争。经过初步分析,选择了8 m的半径作为树木竞争的关键范围。尽管两种类型的竞争都能解释增长差异的很大一部分(0.09–0.43),但单面竞争在大于54岁的年龄段并不显着。基于45岁的模型,计算出每棵树的生长速度与预测速度的初始偏差,并将其作为第三变量添加到模型中。这将确定系数提高到0.50–0.74。这些发现对于森林人工林管理,特别是通过疏伐控制立木的生长,以在将来生产高质量木材具有实际意义。

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