Application of stand density indices for Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) plantation management

Q4 Agricultural and Biological Sciences
Lele Lu, Bin Zhang, Jianguo Zhang, A. Duan, Xiongqing Zhang
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引用次数: 1

Abstract

Abstract The most important issues in Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) management are the quantitative determination of stand density and the selection of appropriate density. Different stand density index models have advantages for special tree species, and this study aimed to estimate the carrying capacity of planted stands of Chinese fir and to select simple and reliable stand density indexes. Based on special experiment of different initial density, the maximum carrying capacity was estimated using Reineke’s self-thinning rule, Nilson’s sparsity theory, Beekhuis’s relative-spacing hypothesis, Zhang’s nutrient-competition rule, Curtis’s maximum stand basal area and Hui’s crowding degree based on mean tree distance. The restricted maximum likelihood method (REML) implemented with ‘nlme’ package in R software was used to refine the parameters of thinning age in Richard’s growth model. The results showed that stand density index models can describe the trends of stand density in response to tree growth: the higher the plantation initial density, the earlier age and stronger self-thinning capacity of stands. Reineke’s SDI and Zhang’s Z model are the most stable and suitable to estimate changes in the density of Chinese fir plantations, competition intensification, and the thinning age. The RD model can also be used, except at low Chinese fir densities. K, which can be affected by the mean crown width of trees, directly reflects the forest area of photosynthesis; this index is easy and simple to apply, but more research is needed to optimize the equation to evaluate whether a forest requires management and to determine the appropriate time for the first thinning and its intensity.
杉木林分密度指数在杉木林分密度中的应用种植园管理
杉木(Cunninghamia lanceolata, Lamb.)林分密度的定量确定和适宜密度的选择是林分管理的主要内容。不同的林分密度指数模型对特定树种具有优势,本研究旨在估算杉木人工林的承载力,选择简单可靠的林分密度指数。在不同初始密度的特殊试验基础上,采用Reineke自疏规则、Nilson稀疏理论、Beekhuis相对间距假设、Zhang养分竞争规则、Curtis最大林分基面积和Hui基于平均树距的拥挤度估算了林分的最大承载能力。利用R软件中的“nlme”包实现的限制性最大似然法(REML),对Richard生长模型中的细化年龄参数进行了细化。结果表明:林分密度指数模型能较好地描述林分密度随树木生长的变化趋势:林分初始密度越高,林分年龄越早,自疏能力越强;Reineke的SDI模型和Zhang的Z模型最稳定,最适合估算杉木人工林密度、竞争强度和间伐年龄的变化。除了低杉木密度外,RD模型也可以使用。K受树木平均冠宽的影响,直接反映光合作用的森林面积;该指数易于应用,但需要更多的研究来优化方程,以评估森林是否需要管理,并确定适当的第一次间伐时间及其强度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Forestry Studies
Forestry Studies Agricultural and Biological Sciences-Forestry
CiteScore
0.70
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