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应用生态学报 ›› 2024, Vol. 35 ›› Issue (10): 2925-2932.doi: 10.13287/j.1001-9332.202409.022

• 综合评述 • 上一篇    

城市生态承载力量化评价方法研究进展

战明松1, 王梦媛2, 刘冲1*, 初亚奇1, 李春林3   

  1. 1沈阳大学建筑工程学院, 沈阳 110041;
    2辽宁大学公共管理学院, 沈阳 110036;
    3中国科学院沈阳应用生态研究所, 沈阳 110016
  • 收稿日期:2024-05-20 接受日期:2024-07-18 出版日期:2024-10-18 发布日期:2025-04-18
  • 通讯作者: * E-mail: 913565830@qq.com
  • 作者简介:战明松, 男, 1990年生, 博士, 讲师。主要从事景观规划和城市可持续发展研究。E-mail: 415659430@qq.com
  • 基金资助:
    国家自然科学基金青年项目(52308070)

Research progress on quantitative evaluation methods of urban ecological carrying capacity

ZHAN Mingsong1, WANG Mengyuan2, LIU Cong1*, CHU Yaqi1, LI Chunlin3   

  1. 1College of Architecture and Engineering, Shen-yang University, Shenyang 110041, China;
    2School of Public Administration, Liaoning University, Shenyang 110036, China;
    3Shenyang Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
  • Received:2024-05-20 Accepted:2024-07-18 Online:2024-10-18 Published:2025-04-18

摘要: 城市生态承载力量化评价是新时期衡量城市可持续发展的关键基础。本文通过对城市生态承载力构成和特征的梳理,进一步丰富了城市生态承载力的概念和内涵。将城市生态承载力的量化方法归纳为包括生态足迹法、综合评价法、状态空间法、净初生产力法和碳氧平衡法等在内的静态现状评价法,以及包括系统动力学模型、BP神经网络预测模型和灰色预测模型等在内的动态仿真预测法,并概述了上述量化评价方法的优缺点。最后,对城市生态承载力量化评价方法的发展趋势进行预判,后续可从强化理论基础、构建指标体系、树立评价原则以及方法优化等方面持续深入研究。

关键词: 城市生态承载力, 静态现状评价, 动态仿真模拟, 量化评价

Abstract: Quantitative evaluation of urban ecological carrying capacity is a critical foundation for measuring urban sustainable development in the new era. This review would enrich the concept and connotation of urban ecological carrying capacity by sorting out its components and characteristics. We categorized the methods for quantifying urban ecological carrying capacity into static evaluation methods, including ecological footprint method, comprehensive evaluation method, state space method, net primary productivity method, and carbon-oxygen balance method, as well as dynamic simulation prediction methods, including system dynamics models, BP neural network prediction models, and grey prediction models. We further summarized both the advantages and disadvantages of these quantitative evaluation methods. Finally, we predicted the development trends of quantitative evaluation methods for urban ecological carrying capacity, and put forward further in-depth research from aspects such as strengthening theoretical foundations, constructing indicator systems, establishing evaluation principles, and optimizing methods.

Key words: urban ecological carrying capacity, static evaluation, dynamic simulation, quantitative evaluation