基于地面激光雷达的塔里木河下游胡杨枝条构型特征

doi:10.13287/j.1001-9332.202606.003

应用生态学报 ›› 2026, Vol. 37 ›› Issue (6): 1739-1747.doi: 10.13287/j.1001-9332.202606.003

• 生态系统遥感与人工智能服务生态科学专栏 • 上一篇下一篇

基于地面激光雷达的塔里木河下游胡杨枝条构型特征

再米拉·艾合麦提¹, 艾萨迪拉·玉苏甫², 玉米提·哈力克^1*, 艾力甫达尔·阿尔肯¹, 胡晓梅², 青献东³, 蒋金凤³

¹新疆大学生态与环境学院/绿洲生态教育部重点实验室, 乌鲁木齐 830017;
²北京大学城市与环境学院生态研究中心, 北京 100871;
³若羌县林业和草原局, 新疆若羌 841800

收稿日期:2026-01-26 修回日期:2026-04-27 出版日期:2026-06-18 发布日期:2026-12-18
通讯作者: *E-mail: halik@xju.edu.cn
作者简介:再米拉·艾合麦提, 女, 1996年生, 硕士研究生。主要从事激光雷达应用研究。E-mail: zml1005@stu.xju.edu.cn
基金资助:
国家自然科学基金项目(32260285)、国家博士后科学基金项目(2024M750066)和若羌县林业和草原局委托项目(XJMDHZ2025-077)

Branch architectural features of Populus euphratica in the lower reaches of the Tarim River using terrestrial laser scanning

Zaimila AIHEMAITI¹, Asadilla YUSUP², Ümüt HALIK^1*, Alfidar ARKIN¹, HU Xiaomei², QING Xiandong³, JIANG Jinfeng³

¹College of Ecology and Environment/Ministry of Education Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830017, China;
²Institute of Ecology, College of Urban and Environmental Science, Peking University, Beijing 100871, China;
³Ruoqiang County Forestry and Grassland Bureau, Ruoqiang 841800, Xinjiang, China

Received:2026-01-26 Revised:2026-04-27 Online:2026-06-18 Published:2026-12-18

摘要/Abstract

摘要： 枝条构型是冠层内分枝形成的空间结构,直接影响树木生长、功能和生态适应。为揭示胡杨对极端干旱环境的形态适应机制,本研究基于地面激光雷达对塔里木河下游51株胡杨进行单木尺度扫描,结合定量结构模型TreeQSM重建枝条结构,提取Ⅰ～Ⅲ级枝条几何参数,分析不同枝条级别间的异速生长关系、枝条垂直分布特征,以及构型参数(数量、长度、夹角)与树形结构参数(树高、胸径、枝下高、冠幅、冠幅面积、冠幅体积和树冠率)的相关关系。结果表明:单株胡杨Ⅰ～Ⅲ级枝条平均数量分别为9.2、68.1和567.1,长度分别为2.70、1.18和0.30 m,夹角分别为53.30°、61.33°和62.61°。随枝条级别升高,枝条数量增加,长度减小,夹角略增大。Ⅰ/Ⅱ级和Ⅱ/Ⅲ级枝条数量比例分别为1∶8和1∶9;长度比例分别为2.15∶1和4∶1。枝条主要分布于冠层3～5 m高度范围内,其中Ⅰ和Ⅲ级枝条长度随冠层高度增加呈减小趋势,Ⅱ级枝条随冠层高度的变化幅度较小。在Ⅰ～Ⅲ级枝条中,除Ⅰ级枝条数量外,其余构型参数随胸径增大而增大。胡杨Ⅰ～Ⅲ枝条数量和长度具有明显的异速生长规律及垂直分布特征,胸径是表征枝条构型的重要结构参数。本研究结果可为胡杨枝条精细结构反演与功能定量研究提供支撑。

关键词: 地面激光雷达, 定量结构模型, 树形结构参数, 胡杨

Abstract: Branch architecture is the spatial structure formed by branching within the canopy, which directly affects tree growth, function, and ecological adaptation. To reveal the morphological adaptation mechanisms of Populus euphratica to extremely arid environments, we used terrestrial laser scanning to scan 51 individual P. euphratica trees in the lower reaches of the Tarim River. We reconstructed the branch structure using the quantitative structural model TreeQSM, extracted the geometric parameters of first- to third-order branches, and analyzed the allometric relationships among different branch orders, vertical distribution patterns of branches, as well as the correlations between architectural parameters (number of branche, length, and angle), and tree structural parameters (tree height, diameter at breast height, crown base height, crown diameter, crown area, crown volume, and crown height ratio). The results showed that the mean numbers of first-, second-, and third-order branches of individual trees were 9.2, 68.1, and 567.1, respectively; the corresponding mean branch lengths were 2.70, 1.18, and 0.30 m; and the mean branch angles were 53.30°, 61.33°, and 62.61°, respectively. With increasing branch order, branch number increased, branch length decreased, and branch angle increased slightly. The ratios of branch number of first- to second-order branches and second- to third-order branches were 1:8 and 1:9, respectively, while the corresponding length ratios were 2.15:1 and 4:1. Branches were mainly distributed within the 3-5 m canopy height range. The lengths of first- and third-order branches decreased with increasing canopy height, whereas second-order branch lengths varied only slightly with canopy height. Among the first- to third-order branches, all architectural parameters except the number of first-order branches increased with increasing diameter at breast height (DBH). The numbers and lengths of first- to third-order branches in P. euphratica exhibited clear allometric growth patterns and vertical distribution characteristics, and DBH was an important structural parameter for characterizing branch architecture. These results would provide support for fine-scale structural inversion and quantitative functional studies of P. euphratica branches.

Key words: terrestrial laser scanning, quantitative structural model, tree structural parameter, Populus euphratica

再米拉·艾合麦提, 艾萨迪拉·玉苏甫, 玉米提·哈力克, 艾力甫达尔·阿尔肯, 胡晓梅, 青献东, 蒋金凤. 基于地面激光雷达的塔里木河下游胡杨枝条构型特征[J]. 应用生态学报, 2026, 37(6): 1739-1747.

Zaimila AIHEMAITI, Asadilla YUSUP, Ümüt HALIK, Alfidar ARKIN, HU Xiaomei, QING Xiandong, JIANG Jinfeng. Branch architectural features of Populus euphratica in the lower reaches of the Tarim River using terrestrial laser scanning[J]. Chinese Journal of Applied Ecology, 2026, 37(6): 1739-1747.

参考文献

[1] Hartley RJL, Jayathunga S, Morgenroth J, et al. Tree branch characterization from Point Clouds: A comprehensive review. Current Forestry Reports, 2024, 10: 360-385
[2] 刘兆刚, 刘继明, 李凤日, 等. 樟子松人工林树冠结构的分形分析. 植物研究, 2005, 25(4): 465-470
[3] Niklas KJ, Spatz HC. Wind-induced stresses in cherry trees: Evidence against the hypothesis of constant stress levels. Trees, 2000, 14: 230-237
[4] 孙栋元, 赵成义, 王丽娟, 等. 荒漠植物构型研究进展. 水土保持研究, 2011, 18(5): 281-287
[5] 蒋少伟, 周多多, 吴桂林, 等. 不同地下水埋深下胡杨枝条水力导度及其季节变化. 干旱区研究, 2017, 34(3): 648-654
[6] Gleason SM, Stephens AEA, Tozer WC, et al. Shoot growth of woody trees and shrubs is predicted by maximum plant height and associated traits. Functional Eco-logy, 2018, 32: 247-259
[7] Kramer RD, Sillett SC, Pelt VR, et al. Quantifying aboveground components of Picea sitchensis for allometric comparisons among tall conifers in North American rainforests. Forest Ecology and Management, 2018, 430: 59-77
[8] 吴毓涵, 汪沛, 李雅新, 等. 基于实际和模型树木的TreeQSM建模估计树木参数性能分析. 中国激光, 2023, 50(22): 165-174
[9] Dorji Y, Schuldt B, Neudam L, et al. Three-dimensional quantification of tree architecture from mobile laser scanning and geometry analysis. Trees, 2021, 35: 1385-1398
[10] 王帆, 贾炜玮, 李凤日, 等. 基于地基激光扫描量化间伐强度对长白落叶松人工林竞争关系的影响. 应用生态学报, 2025, 36(5): 1309-1318
[11] Malhi Y, Jackson T, Bentley LP, et al. New perspectives on the ecology of tree structure and tree communities through terrestrial laser scanning. Interface Focus, 2018, 8: 20170052
[12] Muumbe TP, Singh J, Baade J, et al. Individual tree-scale aboveground biomass estimation of woody vegetation in a semi-arid savanna using 3D data. Remote Sen-sing, 2024, 16: 399
[13] Luck L, Hutley LB, Calders K, et al. Exploring the variability of tropical savanna tree structural allometry with terrestrial laser scanning. Remote Sensing, 2020, 12: 3893
[14] Dai JL, Liu Y, Guo Q, et al. Drought-modulated allometric patterns of trees in semi-arid forests. Communications Biology, 2020, 3: 405
[15] Owen H, Flynn W, Lines E, et al. Competitive drivers of interspecific deviations of crown morphology from theoretical predictions measured with terrestrial laser scanning. Journal of Ecology, 2021, 109: 2612-2628
[16] 塔依尔江·艾山, 姚诗雨, 王慧娟, 等. 不同配置城市防护绿地中胡杨构型特征. 干旱区资源与环境, 2010, 24(6): 178-183
[17] 于秀立, 吕新华, 刘红玲, 等. 塔里木河中游胡杨树干CH₄、CO₂和N₂O通量及其影响因素. 生态学杂志, 2025, 44(12) : 4008-4018
[18] 热依拉·木民, 塔依尔江·艾山, 玉米提·哈力克. 塔里木河下游胡杨空心特征. 应用生态学报, 2020, 31(6): 1933-1940
[19] Halik Ü, Aishan T, Betz F, et al. Effectiveness and challenges of ecological engineering for desert riparian forest restoration along China’s largest inland river. Ecological Engineering, 2019, 127: 11-22
[20] Raumonen P, Kaasalainen M, Åkerblom M, et al. Fast automatic precision tree models from terrestrial laser scanner data. Remote Sensing, 2013, 5: 491-520
[21] Yusup A, Hu XM, Halik Ü, et al. Developing new allometric models for estimating aboveground woody biomass and volume of Populus euphratica using terrestrial laser scanning. Journal of Remote Sensing, 2025, 5: 0697
[22] Shinozaki K, Yoda K, Hozumi K, et al. A quantitative analysis of plant form: The pipe model theory. I. Basic analyses. Japanese Journal of Ecology, 1964, 14: 97-105
[23] West GB, Brown HJ, Enquist JB, et al. A general model for the origin of allometric scaling laws in biology. Science, 1997, 276: 122-126
[24] Hein S, Weiskittel AR, Kohnle U, et al. Branch characteristics of widely spaced Douglas-fir in south-western Germany: Comparisons of modelling approaches and geographic regions. Forest Ecology and Management, 2008, 256: 1064-1079
[25] Gaaliche B, Mezghani A, Trad M, et al. Shoot architecture and morphology of different branch orders in fig tree (Ficus carica L.). International Journal of Fruit Science, 2016, 16: 378-394
[26] 倪铭岐, 高慧淋, 刘家腾, 等. 辽东山区日本落叶松一级枝条数量及密度预估模型. 应用生态学报, 2024, 35(8): 2082-2090
[27] 张丹, 黄文娟, 李志军, 等. 濒危荒漠植物灰叶胡杨分枝格局及其分形特征. 江苏农业科学, 2016, 44(7): 209-212
[28] 翟军团, 陈向向, 李秀, 等. 胡杨(Populus euphratica)枝叶异速生长关系随发育阶段及冠层高度变化的性别差异. 中国沙漠, 2023, 43(1): 116-127
[29] 何明珠, 张景光, 王辉. 荒漠植物枝系构型影响因素分析. 中国沙漠, 2006(4): 625-630
[30] 张肖, 吕瑞恒, 梁继业, 等. 胡杨生殖构件空间分布特征及其养分动态分析. 干旱区研究, 2017, 34(1): 95-103
[31] 于秀立, 田中平, 李桂芳, 等. 荒漠植物胡杨不同发育阶段的枝系构型可塑性研究. 新疆农业科学, 2015, 52(11): 2076-2084
[32] Beyer MR, Basler D, Raumonen P, et al. Do trees have constant branch divergence angles? Journal of Theoretical Biology, 2021, 512: 110567
[33] Osada N. Height-dependent changes in shoot structure and tree allometry in relation to maximum height in four deciduous tree species. Functional Ecology, 2011, 25: 777-786
[34] 郑玉, 张化永, 邹恒超, 等. 冀西北山地森林不同生境下白桦分枝结构特征. 科学技术与工程, 2024, 24(3): 970-979
[35] Gao HL, Liu QF, Song Y, et al. Modeling primary branch diameter and length for planted Pinus koraiensis by incorporating neighbor competition in northeast China. Forests, 2022, 13: 912
[36] 李加好, 刘帅飞, 李志军, 等. 胡杨枝、叶和花芽形态数量变化与个体发育阶段的关系. 生态学杂志, 2015, 34(4): 941-946
[37] Purves DW, Lichstein JW, Pacala SW, et al. Crown plasticity and competition for canopy space: A new spatially implicit model parameterized for 250 North American tree species. PLoS One, 2007, 2(9): e870

基于地面激光雷达的塔里木河下游胡杨枝条构型特征

Branch architectural features of Populus euphratica in the lower reaches of the Tarim River using terrestrial laser scanning

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