整合系统视角,优化城市生态发展中的生态系统服务提供

IF 2.3 4区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Systems Pub Date : 2024-09-17 DOI:10.3390/systems12090375
Wenbo Cai, Chengji Shu
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引用次数: 0

摘要

基于系统的方法对于解决城市生态发展和生态系统服务恢复的复杂性和相互关联性至关重要。本研究采用系统视角,调查了 2000 年至 2020 年长三角生态绿色一体化发展示范区(YRDDA)内主要生态系统服务的时空驱动因素,包括固碳、节水、减少泥沙、减轻污染和雨水调节。我们提出了一个定义高效生态系统服务管理区域(EESMR)的新框架,以指导有针对性的修复工作。我们的分析揭示了选定生态系统服务的 11、9、6、6 和 10 个驱动因素之间复杂的相互作用,突出了这些驱动因素的时空异质性。通过叠加这些关键因素,我们确定了 EESMR 的高效恢复优先区域,以确保高投资回报率和生态系统功能的高效恢复。这种以系统为导向的方法为综合生态恢复、绿色发展和生态规划提供了重要的空间指导。这些发现为长江三角洲和其他快速城市化地区的政策制定者和规划者提供了宝贵的见解,有助于制定有效的土地利用政策,平衡环境可持续性和城市发展。
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Integrating System Perspectives to Optimize Ecosystem Service Provision in Urban Ecological Development
System-based approaches are critical for addressing the complex and interconnected nature of urban ecological development and restoration of ecosystem services. This study adopts a system perspective to investigate the spatiotemporal drivers of key ecosystem services, including carbon sequestration, water conservation, sediment reduction, pollution mitigation, and stormwater regulation, within the Yangtze River Delta Eco-Green Integrated Development Demonstration Area (YRDDA) from 2000 to 2020. We propose a novel framework for defining enhanced-efficiency ecosystem service management regions (EESMR) to guide targeted restoration. Our analysis revealed the complex interplay of 11, 9, 6, 6, and 10 driving factors for selected ecosystem services, highlighting the spatiotemporal heterogeneity of these drivers. By overlaying these key factors, we identified high-efficiency restoration priority areas for EESMR that ensure high returns on investment and the efficient restoration of ecosystem functions. This system-oriented approach provided critical spatial guidance for integrated ecological restoration, green development, and eco-planning. These findings offer valuable insights for policymakers and planners in the Yangtze River Delta and other rapidly urbanizing regions, supporting the formulation of effective land-use policies that balance environmental sustainability and urban growth.
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来源期刊
Systems
Systems Decision Sciences-Information Systems and Management
CiteScore
2.80
自引率
15.80%
发文量
204
审稿时长
11 weeks
期刊最新文献
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