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Quantification of individual tree competition index taking Chinese-fir plantations in subtropical low hilly area as an example

机译:以亚热带低丘陵区中杉木种植园为例的单独树竞争指数的量化

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摘要

Competition among trees is a fundamental interaction process within plant community, which is the theoretical basis of thinning. Plant competitive intensity is generally measured using a competition index (CI) that can be classified into two major categories: distance-independent and distance-dependent. The current study used Cunninghamia lanceolata (Lamb.) Hook as the test subject and used Hegyi's CI (distance-dependent), to quantify individual CI and their relationship with tree diameter at breast height (DBH). Five different criteria were used to select potential competitors for the calculation of CI. Seven basic linear and nonlinear mathematical functions were used to test and quantify the relationships between DBH of the target tree and the individual Cl. Results showed that individual CI was negatively correlated with target tree DBH: as DBH increased, competition intensity weakened. The adjusted R-2 with five different criteria of selection competitors simulated by seven functions ranged from 0.30 to 0.82. Considering the root mean square error (RMSE), P-value, and adjusted-R-2, our results suggested that the best model to simulate the relationship between individual CI and focal tree DBH was power function (CI = 43.98 x DBH-108, adjusted R-2 = 0.81) and with the Voronoi diagram method as the criteria for selecting competitors. These results can demonstrate a clearer understanding of the spatial structure of forests, and can be used to guide the selection of thinning trees in the process of thinning practice.
机译:树木之间的竞争是植物群落中的基本互动过程,这是稀疏的理论基础。植物竞争强度通常使用竞争指数(CI)测量,可以分为两大类:距离无关和距离依赖性。目前的研究使用了Cunninghamia Lanceolata(羊肉。)钩作为测试对象,并使用Hegyi的CI(距离依赖),以量化单独的CI及其与胸部直径(DBH)的树​​径的关系。使用五种不同的标准来选择潜在的竞争对手来计算CI。七个基本的线性和非线性数学函数用于测试和量化目标树的DBH与各个CL之间的关系。结果表明,个体CI与靶树DBH呈负相关:DBH增加,竞争强度削弱。调整后的R-2具有五种不同的选择竞争标准,模拟七个函数的0.30至0.82。考虑到根均方误差(RMSE),p值和调整后R-2,我们的结果表明,模拟各个CI和焦距树DBH之间的关系的最佳模型是功率函数(CI = 43.98 x DBH-108 ,调整R-2 = 0.81),并用Voronoi图方法作为选择竞争对手的标准。这些结果可以明确了解森林空间结构的了解,并且可用于指导在稀疏实践过程中选择稀疏树木。

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