首页|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

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

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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(B，)、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。
Ecological risk assessment and influencing factors in the Wuhan Metropolitan Area based on supply and demand bundles of ecosystem services
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 sin-gle/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 pro-duction-soil conservation risk bundles(B4).The transition of risk types from B3 to B2 and from B2 to B,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.

ecological risk assessmentsupply-demand mismatchecosystem services bundleoptimal parameter geo-detector modelWuhan Metropolitan Area

何国钰、张蕾、雷锡琼、孙远洋、万玉雯、熊海玲

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湖北大学区域开发与环境响应湖北省重点实验室,武汉 430062

湖北大学旅游学院,武汉 430062

重庆地质矿产研究院生态修复分院,重庆 401120

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

教育部人文社会科学研究一般项目湖北省教育厅哲学社会科学研究项目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

20YJC63020719Q0132023A004

2024

10.13287/j.1001-9332.202405.025

应用生态学报
中国生态学学会 中国科学院沈阳应用生态研究所

应用生态学报

CSTPCD北大核心
影响因子：2.114
ISSN：1001-9332
年,卷(期)：2024.35(5)