华东师范大学学报（自然科学版） ›› 2023, Vol. 2023 ›› Issue (6): 145-157.doi: 10.3969/j.issn.1000-5641.2023.06.014

• 生态与环境科学 • 上一篇    

长三角一体化示范区生态系统服务供需格局演变及区域调控探讨

彭曼1, 邵一平2,*(), 裴蓓2, 杨梦杰1, 李根1, 文婉若1, 杨凯1,3,*()   

  1. 1. 华东师范大学 生态与环境科学学院 上海市城市化生态过程和生态恢复重点实验室, 上海　200241
    2. 上海市环境科学研究院, 上海　200233
    3. 上海污染控制与生态安全研究院, 上海　200092
  • 收稿日期:2022-07-15 接受日期:2022-11-16 出版日期:2023-11-25 发布日期:2023-11-23
  • 通讯作者: 邵一平,杨凯 E-mail:shaoyp@saes.sh.cn;kyang@re.ecnu.edu.cn
  • 基金资助:
    上海市环保局科技项目 (沪环科[2017]第6号)

Spatial-temporal pattern and regional regulation of supply and demand of ecosystem services in the Yangtze River Delta integration demonstration zone

Man PENG1, Yiping SHAO2,*(), Bei PEI2, Mengjie YANG1, Gen LI1, Wanruo WEN1, Kai YANG1,3,*()   

  1. 1. Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai　200241, China
    2. Shanghai Academy of Environmental Sciences, Shanghai　200233, China
    3. Shanghai Institute of Pollution Control and Ecological Security, Shanghai　200092, China
  • Received:2022-07-15 Accepted:2022-11-16 Online:2023-11-25 Published:2023-11-23
  • Contact: Yiping SHAO,Kai YANG E-mail:shaoyp@saes.sh.cn;kyang@re.ecnu.edu.cn

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摘要：

生态系统服务供需平衡是可持续发展的关键, 开展差异化分区研究有助于资源优化配置. 本文基于CASA (carnegie-ames-stanford-approach) 模型、水量平衡方程和RUSLE (revised universal soil loss equation) 模型, 分析了长三角一体化示范区2000—2020年碳固持服务、水源涵养服务和水土保持服务供给量、需求量及供需匹配关系的时空演变特征, 并运用SOM (self-organizing map)+K-means二阶聚类方法划定了不同类型的供需失衡区, 提出了差异化的生态系统管控对策. 研究发现, 长三角一体化示范区近20年间: ① 碳固持服务供给减少, 需求增加, 水源涵养和水土保持服务供给量和需求量均呈增加趋势, 各生态系统服务总体呈现供不应求的趋势; ② 碳固持服务和水土保持服务供需比均呈上升趋势, 水源涵养服务供需比呈下降趋势, 各生态系统服务供需比有明显的空间差异; ③ 聚类分析将示范区划分为不同类型的生态调控区, 其中, 吴江、盛泽镇区城镇簇群以水源涵养服务提升为主, 青浦城区城镇簇群以水源涵养服务和碳固持服务提升为主, 先行启动区和嘉善城区城镇簇群生态系统服务供需差距较小, 以综合保护为主. 此研究结果可为示范区资源调配、生态补偿及区域一体化协同发展提供有益的参考.

关键词: 一体化示范区, 生态系统服务, 供需格局, SOM+K-means聚类分析, 分区管控

Abstract:

The balance between supply and demand of ecosystem services is essential for sustainable development, while differentiated partitioning is important for optimal resource allocation. Based on the carnegie-ames-stanford-approach (CASA), the water balance equation, and the revised universal soil loss equation (RUSLE), this study depicts the supply and demand of carbon fixation and water and soil conservation services and their relationship in the Yangtze River Delta integration demonstration zone from 2000 to 2020. Self-organizing map (SOM) K-means two-order clustering technology is used to identify ecosystem service clusters dividing the ecological management zone. Management strategies are then proposed. The results show that: ① The supply of carbon fixation services continued to decrease but the demand increased. Additionally, the supply and demand of water and soil conservation services showed an increasing trend, and supply was less than demand. ② The supply-demand ratio of carbon fixation and soil conservation services showed an upward trend, whereas the supply-demand ratio of water conservation services showed a downward trend. Significant spatial differences were observed in the supply-demand ratio of ecosystem services. ③ Cluster analysis divided the demonstration area into different types of ecological regulation zones. The urban clusters in Wujiang and Shengze town districts are mainly to improve the capacity of water conservation services. The urban cluster in Qingpu District is to promote the water conservation and carbon fixation services capacity. The pilot start-up area and urban cluster in Jiashan City have a small gap between supply and demand, which focus on comprehensive protection. This study can provide decision-making support for resource allocation, ecological compensation, and coordinated development of regional integration in the demonstration area.

Key words: integrated demonstration zone, ecosystem service, supply and demand patterns, SOM+K-means cluster analysis, ecological management zone

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