Tree size inequality and competition effects on nonlinear mixed effects crown width model for natural spruce-fir-broadleaf mixed forest in northeast China
Tree size inequality and competition effects on nonlinear mixed effects crown width model for natural spruce-fir-broadleaf mixed forest in northeast China
复制标题
东北天然云杉阔叶混交林树径不平等及竞争效应非线性混合效应冠宽模型
DOI：
10.1016/j.foreco.2022.120291
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发表时间：
2022-08
影响因子：
3.7
通讯作者：
Jun Lu
中科院分区：
文献类型：
--
作者：
Yangping Qin;Xiao He;Xiangdong Lei;Linyan Feng;Zeyu Zhou;Jun Lu
建立了云冷杉阔叶天然混交林冠幅模型。·模型中考虑了树体大小的不均匀性和竞争。·林木大小不平等对林木CW有显著的正向影响。·种内竞争对CW的影响大于种间竞争。树冠大小与树木生长密切相关。冠幅（CW）受树种大小、立地质量和竞争的影响，但大多数CW模型没有量化林分结构、种内和种间竞争的影响，尤其是在混交林中。本研究通过建立中国东北天然云冷杉阔叶混交林的非线性混合效应CW模型，量化了这些效应。在192个样地中总共使用了10，086棵树的数据。CW模型中包含了林分异质性和随机性的样地水平随机效应参数。结果表明，最优模型可以解释CW的63%的变异，没有实质性的残差异质性。在模型中，树径基尼系数（GC）被用来预测树径不等或林分结构多样性。在所有预测变量中，胸径（DBH），GC，累积断面积大于主题树（BAL），包括种内（BAL内）和种间（BAL间）的竞争，树高与胸径比（HDR）的贡献最显着的模型。树CW随GC的增加而增加，随HDR、BAL intra和BAL inter的增加而减少。种内竞争对CW的影响大于种间竞争。我们的研究强调了树木大小不等式在混交林树木CW建模中的重要性。
• A crown width model was developed for natural spruce-fir-broadleaf mixed forest. • Tree size ineqality and competition were included in the model. • Tree size inequality had significant positive effects on tree CW. • Intra-specific competition effects on CW was larger than inter-specific competition. Crown size is strongly correlated with tree growth. Crown width (CW) is affected by tree size, site quality and competition, but most CW models do not quantify the effects of stand structure, intra and inter-specific competition, especially in mixed-species forest. In this study, we quantified these effects by developing nonlinear mixed effects CW model for natural spruce-fir-broadleaf mixed forest in northeast China. Data from a total of 10,086 individual trees in the 192 plots were used for the purpose. Plot-level random effect parameters accounting for stand heterogeneity and randomness were included in the CW model. The results showed the optimal model could explain 63% of the variation of CW with no substantial residual heterogeneity. Gini coefficient by tree size (GC) was tested as a predictor denoting tree size inequality or stand structural diversity in the model. Among all predictor variables, diameter at breast height (DBH), GC, the cumulative basal area of trees larger than the subject tree (BAL) including intra-specific (BAL intra ) and inter-specific (BAL inter ) competition, and height to DBH ratio (HDR) contributed most significantly to the model. Tree CW increased with the increasing GC, but decreased with the increasing HDR, BAL intra and BAL inter . The effect of intra-specific competition on CW was greater than that of inter-specific competition. Our study highlighted the importance of tree size inequality in tree CW modelling for mixed forest.
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影响因子：
2.8
作者：
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影响因子：
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