文献类型：期刊文献

英文题名：Comprehensive Decision Index of Logging (CDIL) and Visual Simulation Based on Horizontal and Vertical Structure Parameters

作者：Lei, Kexin[1,2,3] Zhang, Huaiqing[1,2,3] Qiu, Hanqing[1,2] Liu, Yang[1,2,3] Hu, Xingtao[1,2,3,4] Wang, Jiansen[1,2,3] Cui, Zeyu[1,2,3] Zuo, Yuanqing[1,2,3]

第一作者：Lei, Kexin

通信作者：Zhang, HQ[1];Zhang, HQ[2];Zhang, HQ[3]

机构：[1]Chinese Acad Forestry, Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]NFGA, Key Lab Forest Management & Growth Modelling, Beijing 100091, Peoples R China;[3]Natl Long Term Sci Res Base Huangfengqiao Forest M, Beijing 100091, Peoples R China;[4]Guizhou Normal Univ, Sch Geog & Environm Sci, Guiyang 550025, Peoples R China

年份：2023

卷号：14

期号：2

外文期刊名：FORESTS

收录：;EI(收录号：20230913655696);Scopus(收录号：2-s2.0-85149020286);WOS:【SCI-EXPANDED(收录号:WOS:000938708100001)】；

基金：This research was funded by the National Natural Science Foundation of China, grant number 32071681, 32271877 and the Foundation Research Funds of IFRIT, grant number CAFYBB2021ZE005, CAFYBB2019SZ004.

语种：英文

外文关键词：stand spatial structure; comprehensive decision index of logging (CDIL); stand structure adjustment; visual simulation

摘要：The comprehensive indexes approach based on stand structure parameters is mainly used to select trees for harvest. However, these indexes do not consider the comprehensive impact of horizontal and vertical structures, leading to an incomplete analysis of the forest structure and an inaccurate selection of trees for harvest. To solve this problem, we constructed a comprehensive decision index of logging (CDIL), integrating horizontal and vertical structure parameters which can identify harvest trees more scientifically. In this study, we took the Shanxia Forest Farm in the Jiangxi Province of China as the experimental area and used mixed broadleaf/conifer forests at different ages as our experimental sample. We selected eight horizontal and vertical spatial structure parameters to establish an efficient, objective, and accurate comprehensive decision index of logging. We combined 3D visualization technology to realize the dynamic visualization simulation of the index at different intensities of tending and felling management. The results indicated that the proposed CDIL-index could effectively optimize the forest spatial structure. From the perspective of stand structure adjustment, the optimal thinning intensity was 20%. The average CDIL in each plot decreased by more than 80% after logging, while the change range of each plot was between 30% and 70% after the F index was applied to implement tending and logging. The CDIL was 11.4% more accurate in selecting trees for harvesting than the F index. In this study, the main conclusion is that the CDIL would enable forest managers to more accurately choose trees for harvesting, leading to forest adjustment that would reduce the competition pressure among trees and improve the distribution and health of trees, possibly making the forest structure more stable.