文献类型：期刊文献

英文题名：Simulation of Thinning by Integrating Tree Competition and Species Biodiversity for Target Tree-Based Management of Secondary Forests

作者：Pang, Lifeng[1,2] Wang, Guangxing[3] Sharma, Ram P.[4] Lu, Jun[1] Tang, Xiaoming[1] Fu, Liyong[1,2]

第一作者：庞丽峰;Pang, Lifeng

通信作者：Fu, LY[1];Fu, LY[2]

机构：[1]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China;[2]Natl Forestry & Grassland Adm, Key Lab Forest Management & Growth Modelling, Beijing 100091, Peoples R China;[3]Southern Illinois Univ Carbondale, Dept Geog & Environm Resources, Carbondale, IL 62901 USA;[4]Tribhuvan Univ, Inst Forestry, Kathmandu 44600, Nepal

年份：2023

卷号：14

期号：9

外文期刊名：FORESTS

收录：;EI(收录号：20234014822205);Scopus(收录号：2-s2.0-85172735984);WOS:【SCI-EXPANDED(收录号:WOS:001075694100001)】；

基金：We would like to thank all people who contributed to the forest plot survey for this study and two anonymous reviewers for helpful comments on earlier versions of this manuscript.

语种：英文

外文关键词：spatial structure; species biodiversity; thinning; target tree; forest management; uniform angle index; competition index

摘要：This study presents auxiliary support techniques for tree selection strategies based on the spatial structure indices and three competition indices in secondary forests, and discusses the importance of tree competition in forest management. The spatial structure parameter in the structured management is used as a quantitative index-the uniform angle index and three competition indices are used in the design of the algorithm for selective thinning for secondary forest. Based on the target tree-based management principles, simulation of selective thinning was carried out using GIS and C# programming languages. Data for this study were collected from experimental sample plots at Jilin Wangqing Forestry Bureau in China. The simulation results strongly support the use of auxiliary technology for scientifically selecting trees for thinning, avoiding the subjectivity of the traditional manual selection. Selection is largely based on the uniform angle index and competition index. Hegyi's competition index and its improved version used in the algorithm provided almost identical simulation results, i.e., thinning intensities suggested by these indices for the first sample plot are 21.8% and 21.5%, respectively, and for the second plot are 21.3% and 21.1%, respectively. Thus, one of these competition indices can be used to select trees for thinning. The comprehensive competition index (CCI, a combination of an improved version of Hegyi's competition index with tree species mingling) can avoid the selection of individual trees with high mingling and help maintain the tree species diversity. CCI suggests thinning intensities of 18.3% and 18.4% for the first and second sample plots, respectively. Presented methods and results may provide auxiliary supports for scientific thinning and help promote the application of information technology in forest management.