文献类型：期刊文献

英文题名：A New Tree-Level Multi-Objective Forest Harvest Model (MO-PSO): Integrating Neighborhood Indices and PSO Algorithm to Improve the Optimization Effect of Spatial Structure

作者：Qiu, Hanqing[1,2,3] Zhang, Huaiqing[1,2,3] Lei, Kexin[1,2,3] Hu, Xingtao[4] Yang, Tingdong[1,2,3] Jiang, Xian[1,2,3]

第一作者：Qiu, Hanqing

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：3

外文期刊名：FORESTS

收录：;EI(收录号：20231513865800);Scopus(收录号：2-s2.0-85151747697);WOS:【SCI-EXPANDED(收录号:WOS:000955593400001)】；

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 CAFYBB2021ZE005-2.

语种：英文

外文关键词：forest planning; stand spatial structure; selection thinning priority; PSO algorithm; neighborhood-based indices

摘要：Accurate, efficient, impersonal harvesting models play a very important role in optimizing stand spatial structural and guiding forest harvest practices. However, existing studies mainly focus on the single-objective optimization and evaluation of forest at the stand- or landscape-level, lacking considerations of tree-level neighborhood interactions. Therefore, the study explored the combination of the PSO algorithm and neighborhood indices to construct a tree-level multi-objective forest harvest model (MO-PSO) covering multi-dimensional spatial characteristics of stands. Taking five natural secondary forest plots and thirty simulated plots as the study area, the MO-PSO was used to simulate and evaluate the process of thinning operations. The results showed that the MO-PSO model was superior to the basic PSO model (PSO) and random thinning model Monte Carlo-based (RD-TH), DBH dominance (DOMI), uniform angle (ANGL), and species mingling (MING) were better than those before thinning. The multi-dimensional stand spatial structure index (L-index) increased by 1.0%similar to 11.3%, indicating that the forest planning model (MO-PSO) could significantly improve the spatial distribution pattern, increase the tree species mixing, and reduce the degree of stand competition. In addition, under the four thinning intensities of 0% (T1), 15% (T2), 30% (T3), and 45% (T4), L-index increased and T2 was the optimal thinning intensity from the perspective of stand spatial structure overall optimization. The study explored the effect of thinning on forest spatial structure by constructing a multi-objective harvesting model, which can help to make reasonable and scientific forest management decisions under the concept of multi-objective forest management.