生物多样性

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城市道路绿化带树种多样性对交通噪声衰减的影响

刘文凯, 李朦朦*, 吴远翔, 孟琪, 杨达   

  1. 哈尔滨工业大学建筑与设计学院,寒地智慧人居环境科学与技术工业和信息化部重点实验室,哈尔滨 150001
  • 收稿日期:2026-06-27 修回日期:2026-07-18 接受日期:2026-08-22
  • 通讯作者: 李朦朦
  • 基金资助:
    基于深度学习的街道绿地植物形态协同降噪效应研究(52308089); 基于面部表情识别的城市开放空间声景研究方法(52478083); 非母语语境下高校教室声环境绩效评估方法研究(52208101)

Effects of Tree Species Diversity on Traffic Noise Attenuation in Urban Roadside Green Belts

Wenkai Liu, Mengmeng Li*, Yuanxiang Wu, Qi Meng, Da Yang   

  1. School of Architecture and Design, Harbin Institute of Technology; Key Laboratory of Cold Region Smart Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology
  • Received:2026-06-27 Revised:2026-07-18 Accepted:2026-08-22
  • Contact: Mengmeng Li

摘要: 交通噪声是城市噪声的主要来源之一,严重危害着城市居民的身心健康。道路绿化带可有效控制交通噪声。已有研究表明,垂直结构层次更丰富、针阔叶混交种植的绿化带能带来更好的降噪效果,但树种多样性对降噪是否存在独立贡献目前仍不明确。本研究在哈尔滨5条主干道选取60组单一树种纯林与60组不同丰富度的混交林样方进行实地声学测试,采用激光点云提取单木属性,结合协方差分析、层级回归与Bootstrap稳健性检验,探究树种多样性的独立效应与作用路径。结果表明:(1)纯林与混交林在物理体量与空间排布上存在系统性的组间差异,校正上述差异后,混交林的降噪量显著高于纯林;2)树种丰富度对降噪存在独立贡献,这一作用不通过形态多样性间接实现,树种分布的均匀度亦未表现出独立效应;(3)多样性对降噪的增益呈现边际递减特征。本研究为降噪导向的城市道路绿化带树种配置提供了初步的科学依据。

关键词: 城市道路绿化带, 树种多样性, 交通噪声衰减, 层级回归, 独立效应

Abstract

Aims: Traffic noise is one of the major sources of urban noise that seriously harms residents’ physical and mental health. Roadside green belts can effectively reduce traffic noise. Studies have shown that green belts with more complex vertical structures or mixed conifer–broadleaf plantings tend to achieve greater noise reduction. However, whether tree species diversity itself makes an independent contribution remains unclear. This study aimed to investigate the independent effect of tree species diversity on traffic noise attenuation and its pathways. 

Methods: We selected 120 plots (60 pure and 60 mixed forest plots with varying richness) along five arterial roads in Harbin, China, for in-situ acoustic measurements. Single-tree morphological attributes were extracted using laser point cloud scanning. Covariance analysis, hierarchical regression, and Bootstrap robustness tests were combined to examine the independent effect and pathways of tree species diversity. 

Results: (1) Pure and mixed forests plots exhibited significant inter-group differences in physical volume and spatial arrangement. After correcting for these differences, mixed forests plots still achieved significantly greater noise reduction than pure forests plots. (2) Tree species richness demonstrated an independent and positive contribution to noise attenuation. This contribution was not mediated by morphological diversity, nor did species evenness exhibit an independent effect. (3) The noise reduction gain from increased diversity showed a diminishing marginal effect. 

Conclusions: This study provides preliminary scientific evidence for tree species selection and configuration in noise-abatement-oriented urban roadside green belt design. The primary gain in noise reduction was found to arise from the transition from pure to mixed forests, suggesting that introducing even one or two companion tree species may be an effective strategy.

Key words: urban roadside green belt, tree species diversity, traffic noise attenuation, hierarchical regression, independent effect