Methods for assessing regeneration establishment and height growth in uneven‐aged mixed species stands
Methods for assessing regeneration establishment and height growth in uneven‐aged mixed species stands
复制标题
评估不均匀年龄混合树种林的再生建立和高度生长的方法
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
G. Kindermann
中科院分区：
文献类型：
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作者：
H. Hasenauer;G. Kindermann
摘要 本研究展示了如何使用常规清查数据中的信息来预测 ≤1.3 m 的幼树高度生长，并使用从此类数据得出的简单竞争措施。实际 5 年高度增量是通过以下因素预测的：(1) 剩余上层植物的竞争，(2) 再生本身之间的种内和种间竞争，以及 (3) 入射光边缘效应的修正量。对于没有可用再生信息的情况，使用人工神经网络对过去 5 年内再生的发生情况进行预测。结果表明，神经网络可以预测单位面积幼树的概率和树种的概率。幼树高度生长分析表明，再生过程中的层间竞争和种间或种内竞争以及入射光边缘效应的修正对于确保准确的模型预测非常重要。
Summary This study shows how information from routine inventory data can be used to predict juvenile tree height growth for trees ≤1.3 m using simple competition measures derived from such data. Actual 5year height increment is predicted by using: (1) the competition of the remaining overstorey, (2) the intra- and interspecies competition among the regeneration itself and (3) a modifier for the edge effect on incident light. For situations where no regeneration information is available, predictions were made of the occurrence of regeneration during the last 5 years using artificial neural networks. The results indicate that the probability of juvenile trees and the probability of a tree species per unit area are predictable with neural networks. The juvenile tree height growth analyses demonstrate that overstorey and inter- or intraspecific competition among the regeneration as well as the modifier for the edge effect on incident light were important to ensure accurate model predictions.