欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2024, Vol. 35 ›› Issue (12): 3295-3303.doi: 10.13287/j.1001-9332.202412.023

• 生态系统服务与区域可持续专栏(专栏策划:孙晓、冯喆、陶宇、李春林、林锦耀) • 上一篇    下一篇

蓝绿基础设施生态系统服务城乡差异与尺度效应

孙苗苗1, 吕江涛2, 李晓文1*, 李鹏3, 肖之炎3, 郝嘉元1, 智烈慧4   

  1. 1北京师范大学环境学院, 北京 100875;
    2江苏省工程咨询中心有限公司, 南京 210003;
    3武汉市湿地保护中心, 武汉 430000;
    4河北工程大学地球科学与工程学院, 河北邯郸 056038
  • 收稿日期:2024-06-13 接受日期:2024-09-30 出版日期:2024-12-18 发布日期:2025-06-18
  • 通讯作者: *E-mail: lixw@bnu.edu.cn
  • 作者简介:孙苗苗, 女, 2001年生, 硕士研究生。主要从事城市蓝绿基础设施生态系统服务研究。E-mail: 202321180049@mail.bnu.edu.cn
  • 基金资助:
    国家自然科学基金项目(32171572)和武汉市园林和林业局科技计划项目(WHGF2020A04)

Urban-rural difference and scale effect of ecosystem services of blue-green infrastructure

SUN Miaomiao1, LYU Jiangtao2, LI Xiaowen1*, LI Peng3, XIAO Zhiyan3, HAO Jiayuan1, ZHI Liehui4   

  1. 1College of Environment, Beijing Normal University, Beijing 100875, China;
    2Jiangsu Engineering Consulting Center, Nanjing 210003, China;
    3Wuhan Wetland Protection Center, Wuhan 430000, China;
    4College of Earth Science and Engineering, Hebei University of Engineering, Handan 056038, Hebei, China
  • Received:2024-06-13 Accepted:2024-09-30 Online:2024-12-18 Published:2025-06-18

摘要: 蓝绿基础设施是城市生态基础设施的主体和构建城市生态安全格局的要素,目前有关城市蓝绿基础设施研究主要集中于时空格局演变、驱动机制、连通性与规划管理等方面,针对快速城市化背景下蓝绿基础设施生态系统服务的时空动态变化、协同与权衡机制等方面研究相对薄弱。本研究以武汉市为例,基于InVEST模型、Getis-Ord Gi*空间热点分析及空间相关分析等方法探究了1980—2020年武汉市蓝绿基础设施6种生态系统服务量(气候调节、空气净化、洪水调蓄、生态固碳、景观文化和生境维持)的时空变化、城乡差异以及不同尺度上的权衡协同效应。结果表明: 研究期间,武汉市蓝绿基础设施生态系统服务在空间上总体呈现中心城区低、城区外围高的分布格局,冷点或不显著区域面积较大;蓝绿基础设施对不同类型生态系统服务的贡献率存在显著差异,蓝色基础设施的贡献较大,绿色基础设施的贡献较小;城乡梯度影响生态系统服务的波动,随着与城市中心距离的增加,波动幅度降低;生态系统服务之间的权衡与协同存在尺度效应,在流域单元尺度上,生态系统服务之间权衡与协同关系并存,而在乡镇和行政区尺度上,不同生态系统服务之间表现为协同关系。蓝绿基础设施尺度效应和城乡差异研究对城市化背景下蓝绿基础设施生态系统服务功能协同优化及分级、分类、分区管理具有一定指导意义。

关键词: 城市化, 蓝绿基础设施, 生态系统服务, 城乡梯度, 尺度效应

Abstract: Blue-green infrastructure (BGI) constitutes the mainstay of urban ecological infrastructure and is a vital element in shaping urban ecological security patterns. Current research on urban BGI primarily focuses on spatio-temporal variations, driving mechanisms, connectivity, and planning management. Less attention has been paid to the spatio-temporal dynamics, coordination, and trade-off mechanisms of BGI ecosystem services (ES) under the background of rapid urbanization. We explored the spatio-temporal variations, urban-rural disparities, and trade-off and synergy effects across different scales of six ES types provided by BGI (climate regulation, air purification, flood regulation and storage, carbon sequestration, landscape culture, and habitat providing) in Wuhan from 1980 to 2020 based on the InVEST model, Getis-Ord Gi* spatial hotspot analysis, and spatial correlation analysis. The results showed that the ES provided by BGI generally exhibited a spatial distribution pattern of low levels in the central urban area and high levels in the periphery, with large areas of cold spots or insignificant regions. There were significant differences in the contribution rates of BGI to different ES, with more contribution from blue infrastructure and less from green infrastructure. The urban-rural gradient impacted fluctuations in ES, with decreasing amplitude as the distance from the city center increased. Furthermore, there were scale effects for trade-offs and synergies among ES. Trade-offs and synergies among ES coexisted at the watershed unit scale, whereas a synergistic relationship prevailed at the township and administrative district scales. Our results could offer valuable insights for the coordinated optimization and hierarchical, categorized, and zoned management of BGI’s ES functions amidst urbanization.

Key words: urbanization, blue-green infrastructure, ecosystem service, urban-rural gradient, scale effect