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应用生态学报 ›› 2023, Vol. 35 ›› Issue (5): 1347-1358.doi: 10.13287/j.1001-9332.202405.025

• 研究论文 • 上一篇    下一篇

基于生态系统服务供需簇的武汉都市圈生态风险评估及影响因素

何国钰1,2, 张蕾1,2*, 雷锡琼3, 孙远洋2, 万玉雯2, 熊海玲2   

  1. 1湖北大学区域开发与环境响应湖北省重点实验室, 武汉 430062;
    2湖北大学旅游学院, 武汉 430062;
    3重庆地质矿产研究院生态修复分院, 重庆 401120
  • 收稿日期:2023-12-19 接受日期:2024-03-18 出版日期:2024-05-18 发布日期:2024-11-18
  • 通讯作者: *E-mail: lzhang520@163.com
  • 作者简介:何国钰, 男, 1999年生, 硕士研究生。主要从事生态系统服务研究。E-mail: hgy19991314@163.com
  • 基金资助:
    教育部人文社会科学研究一般项目(20YJC630207)、湖北省教育厅哲学社会科学研究项目(19Q013)和区域开发与环境响应湖北省重点实验室2023年度开放基金项目(2023(A)004)

Ecological risk assessment and influencing factors in the Wuhan Metropolitan Area based on supply and demand bundles of ecosystem services

HE Guoyu1,2, ZHANG Lei1,2*, LEI Xiqiong3, SUN Yuanyang2, WAN Yuwen2, XIONG Hailing2   

  1. 1Hubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China;
    2School of Tourism Management, Hubei University, Wuhan 430062, China;
    3Ecological Restoration Branch, Chongqing Institute of Geology and Mineral Resources, Chongqing 401120, China
  • Received:2023-12-19 Accepted:2024-03-18 Online:2024-05-18 Published:2024-11-18

摘要: 在快速城市化背景下,都市圈正面临生态系统服务供需错配的风险。探究多重供需风险的格局、关系及驱动因素,对支撑区域生态风险的高效管理具有重要意义。以武汉都市圈为例,本研究量化2000、2010和2020年各乡镇6种典型生态系统服务的单一/综合供需风险率,采用自组织特征映射网络与最优参数地理探测器分别识别生态系统服务供需风险簇和综合风险的影响因素。结果表明: 2000—2020年间,武汉都市圈典型生态系统服务供需风险空间格局差异明显。粮食供应服务、产水服务、碳固存服务和绿地休憩服务的供需风险均上升,而土壤保持服务和水质净化服务的供需风险下降。综合生态系统服务供需风险由0.41增至0.45,呈“核心区增加、边缘区降低”趋势。研究期间,武汉都市圈存在综合极高风险簇(B1)、综合高风险簇(B2)、水质净化高风险簇(B3)与粮食供应-土壤保持风险簇(B4),风险类型主要由B3簇向B2簇、B2簇向B1簇转化,表明供需风险组合类型增加、强度增强。植被覆盖度、夜间灯光指数和人口密度是综合供需风险空间分异的主要影响因子。基于生态系统服务供需簇开展生态风险评估,可为区域多重风险问题的管控提供高效可靠的途径。

关键词: 生态风险评估, 供需错配, 生态系统服务簇, 最优参数地理探测器, 武汉都市圈

Abstract: In the context of rapid urbanization, metropolitan areas are facing the risk of supply-demand mismatches among ecosystem services. Investigating the patterns, relationships, and driving factors of multiple supply-demand risks is of great significance to support the efficient management of regional ecological risks. We quantified the single/comprehensive supply-demand risk rates of six ecosystem services in Wuhan Metropolitan Area at the township scale in 2000, 2010, and 2020. By applying the self-organizing feature map network and optimal parameter geo-detector, we identified supply-demand risks bundles of ecosystem services and influencing factors of comprehensive risks. The results showed significant spatial variations in the supply-demand risks of typical ecosystem services from 2000 to 2020. The supply-demand risk associated with grain production, water yield, carbon sequestration, and green space recreation increased, while soil conservation and water purification risks decreased. The comprehensive ecosystem services supply-demand risk increased from 0.41 to 0.45, indicating a ‘core area increase and periphery decrease' trend. Throughout the study period, the area exhibited bundles of comprehensive extremely high-risk bundles (B1), comprehensive high-risk bundles (B2), water purification high-risk bundles (B3), and grain production-soil conservation risk bundles (B4). The transition of risk types from B3 to B2 and from B2 to B1 suggested an increase in the combination and intensity of supply-demand risk. Vegetation cover, nighttime light index, and population density were the main driving factors for spatial variations in comprehensive supply-demand risk. Ecologi-cal risk assessment based on ecosystem services supply-demand bundles could provide an effective and reliable way to regulate multiple regional risk issues.

Key words: ecological risk assessment, supply-demand mismatch, ecosystem services bundle, optimal parameter geo-detector model, Wuhan Metropolitan Area