文献类型：期刊文献

英文题名：Effect of Thinning on Cryptomeria Japonica Tree Size Differentiation and Stand Productivity

作者：Liu, Kai Li[1,2] Chen, Bo Yao[2] Zhou, Pu[3] Wang, Rui Hui[1] Wang, Chun Sheng[2]

第一作者：Liu, Kai Li

机构：[1] Central South University of Forestry & Technology, Changsha, 410004, China; [2] Research Institute of Tropical Forestry, Chinese Academy of Forestry, Longdong, Guangzhou, 510520, China; [3] YongZhou Vocational Technical College, Yongzhou, 425000, China

年份：2024

外文期刊名：SSRN

收录：EI(收录号：20240176239)

语种：英文

摘要：Stand structure affects tree efficiency for a competitive use of resources and largely determines stand productivity. Consequently, research on individual size and differentiation of stand structure is critical for improving monoculture-stand productivity. Here, we studied the effects of four thinning intensities (control, 0%; LIT, 20%; MIT, 30%; and HIT, 40%) in an experimental plantation of Cryptomeria japonica var. sinensis, and assessed individual differentiation characteristics, diameter class-frequency distribution, and stand productivity over six years. The results showed that the Gini coefficient decreased with increasing thinning intensity and stand age. Self-thinning of C. japonica stands occurred even after thinning, and the number of living trees decreased significantly with increasing stand age in the control treatment. Self-thinning was relatively high when stands were 10-13 years old but did not occur in the 6th year after thinning in treatments T2 and T3. The mean diameter of each treatment increased with increasing stand age, and the normal distribution curve of diameter class frequency gradually shifted to the right, with small changes in the control treatment and lager ones in treatment T3. Stand volume and productivity varied with stand age, with the greatest change in stand volume observed in T3 followed by that in the control treatment. Stand productivity at different thinning intensities generally decreased and then increased with increasing stand age. These results provide important insights into the implications of designing thinning intensity and timing, and determining tree-size class removal to meet specific management objectives. ? 2024, The Authors. All rights reserved.