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基于古树分布密度的我国城市绿化主要树种选择研究以京沪穗深杭“五大城市”为例

Study on the selection of key tree species for urban greening in China based on ancient tree distribution density: A case study of five major cities(Beijing, Shanghai, Guangzhou, Shenzhen and Hangzhou)

  • 摘要: 古树作为城市生态与文化遗产的重要载体,其分布特征为绿化树种选择提供了科学依据。本研究以北京、上海、广州、深圳和杭州“五大城市”为例,基于古树分布密度分析,探讨城市绿化骨干树种的选择策略。通过整合各城市古树种类、数量及密度数据,结合树种应用现状与生长特性,提出了以古树密度为核心依据的绿化树种选择框架。研究发现:高、中密度古树树种,如北京侧柏Platycladus orientalis (L.) Franco、广州榕树Ficus microcarpa L. f.,在本地环境适应性强、寿命长,应优先作为基调和骨干树种;低密度古树中的非长寿树种可在其生命周期内合理应用,长寿但古树稀少的树种需谨慎选用。研究还揭示了当前城市绿化中过度依赖速生树种、忽视生态功能等问题,并提出“三三制”配比(单一树种、外来树种、速生树种均不超过30%)、强化地域特色及建立动态监测机制等优化建议,为城市绿化树种的科学选择提供了数据支撑和实践指导,为培育未来古树资源奠定了基础。

     

    Abstract: Ancient trees serve as important carriers of urban ecological and cultural heritage, and their distribution characteristics provide a scientific basis for the selection of greening tree species. This study takes five major cities (Beijing, Shanghai, Guangzhou, Shenzhen, and Hangzhou) as examples, analyzing the distribution density of ancient trees to explore strategies for selecting key urban greening species. By integrating data on the species, quantity, and density of ancient trees in each city, along with the current application status and growth characteristics of these species, a tree selection framework centered on ancient tree density was proposed. The findings indicate that high- and medium-density ancient tree species (e.g., P. orientalis in Beijing and F. microcarpa in Guangzhou) exhibit strong local adaptability and longevity, making them ideal candidates as framework or backbone species. Non-long-lived species among low-density ancient trees can be reasonably utilized within their natural lifecycles, while long-lived but sparsely distributed species require cautious application. The study also highlights issues in current urban greening practices, such as over-reliance on fast-growing species and neglect of ecological functions, and proposes optimization measures including the "three-thirds ratio" principle (no single species, exotic species, or fast-growing species exceeding 30%), emphasis on regional characteristics, and the establishment of dynamic monitoring mechanisms. This research provides data-driven guidance for the scientific selection of urban greening tree species and lays the foundation for cultivating future ancient tree resources.

     

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