文献类型：期刊文献

英文题名：Determining the Structural Characteristics of Farmland Shelterbelts in a Desert Oasis Using LiDAR

作者：Jia, Xiaoxiao[1,2] Xiao, Huijie[1,2] Xin, Zhiming[3,4] Li, Junran[5] Fan, Guangpeng[6]

第一作者：Jia, Xiaoxiao

通信作者：Xiao, HJ[1];Xiao, HJ[2]

机构：[1]Beijing Forestry Univ, Sch Soil & Water Conservat, Beijing 100083, Peoples R China;[2]Beijing Forestry Univ, State Key Lab Efficient Prod Forest Resources, Beijing 100083, Peoples R China;[3]Chinese Acad Forestry, Expt Ctr Desert Forestry, Bayannur 015200, Peoples R China;[4]Natl Forestry & Grassland Adm, Inner Mongolia Dengkou Desert Ecosyst Natl Observa, Bayannur 015200, Peoples R China;[5]Univ Hong Kong, Dept Geog, Hong Kong 999077, Peoples R China;[6]Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China

年份：2025

卷号：16

期号：8

外文期刊名：FORESTS

收录：;EI(收录号：20253519085515);Scopus(收录号：2-s2.0-105014518952);WOS:【SCI-EXPANDED(收录号:WOS:001558648700001)】；

基金：This research was funded by the National Natural Science Foundation of China (32371961), the National Key Research and Development Program of China (2023YFE0121800) and the National Key Research and Development Program of China (2023YFF1304204).

语种：英文

外文关键词：terrestrial laser scanning; farmland shelterbelts; three-dimensional structure; spatial distribution

摘要：The structural analysis of shelterbelts forms the foundation of their planning and management, yet the scientific and effective quantification of shelterbelt structures requires further investigation. This study developed an innovative heterogeneous analytical framework, integrating three key methodologies: the LeWoS algorithm for wood-leaf separation, TreeQSM for structural reconstruction, and 3D alpha-shape spatial quantification, using terrestrial laser scanning (TLS) technology. This framework was applied to three typical farmland shelterbelts in the Ulan Buh Desert oasis, enabling the first precise quantitative characterization of structural components during the leaf-on stage. The results showed the following to be true: (1) The combined three-algorithm method achieved >= 90.774% relative accuracy in extracting structural parameters for all measured traits except leaf surface area. (2) Branch length, diameter, surface area, and volume decreased progressively from first- to fourth-order branches, while branch angles increased with ascending branch order. (3) The trunk, branch, and leaf components exhibited distinct vertical stratification. Trunk volume and surface area decreased linearly with height, while branch and leaf volumes and surface areas followed an inverted U-shaped distribution. (4) Horizontally, both surface area density (Scd) and volume density (Vcd) in each cube unit exhibited pronounced edge effects. Specifically, the Scd and Vcd were greatest between 0.33 and 0.60 times the shelterbelt's height (H, i.e., mid-canopy). In contrast, the optical porosity (Op) was at a minimum of 0.43 H to 0.67 H, while the volumetric porosity (Vp) was at a minimum at 0.25 H to 0.50 H. (5) The proposed volumetric stratified porosity (Vsp) metric provides a scientific basis for regional farmland shelterbelt management strategies. This three-dimensional structural analytical framework enables precision silviculture, with particular relevance to strengthening ecological barrier efficacy in arid regions.