南京林业大学学报(自然科学版) ›› 2024, Vol. 48 ›› Issue (6): 210-216.doi: 10.12302/j.issn.1000-2006.202209018

• 研究论文 • 上一篇    下一篇

基于供需可达性空间耦合的生态优化分区和管控研究——以常州市金坛区为例

吕程翔1(), 胡秀艳2, 武洋2, 殷齐琪1, 张志飞1, 秦文栋1, 王君櫹3, 周生路1,*()   

  1. 1.自然资源部海岸带开发与保护重点实验室,南京大学地理与海洋学院,江苏 南京 210023
    2.扬州市自然资源和规划局江都分局,江苏 扬州 225200
    3.南京财经大学公共管理学院,江苏 南京 210023
  • 收稿日期:2022-09-07 修回日期:2024-01-20 出版日期:2024-11-30 发布日期:2024-12-10
  • 通讯作者: *周生路(zhousl@nju.edu.cn),教授。
  • 作者简介:

    吕程翔(lv_chengxiang@126.com)。

  • 基金资助:
    国家自然科学基金项目(41771243);江苏省自然资源科技项目(2023050);江苏省自然资源科技项目(2023037)

Ecological optimization zoning and management based on the spatial coupling of supply and demand accessibility in Jintan District,Changzhou City

LÜ Chengxiang1(), HU Xiuyan2, WU Yang2, YIN Qiqi1, ZHANG Zhifei1, QIN Wendong1, WANG Junxiao3, ZHOU Shenglu1,*()   

  1. 1. The Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, School of Geographic and Oceanic Sciences, Nanjing University, Nanjing 210023, China
    2. Jiangdu Branch of Yangzhou Natural Resources and Planning Bureau, Yangzhou 225200, China
    3. School of Public Administration, Nanjing University of Finance and Economics, Nanjing 210023, China
  • Received:2022-09-07 Revised:2024-01-20 Online:2024-11-30 Published:2024-12-10

摘要:

【目的】基于生态服务供需可达性,探究生态系统与社会经济系统的空间耦合,为国土空间规划中的生态空间优化和分区管控提供定量依据。【方法】以常州市金坛区为研究区,首先评估其生态服务价值并计算生态服务供需比,利用改进潜能模型得到生态供给可达性进而评价生态供需协调度;其次叠加生态服务供需比和供需协调度得到生态优化区;最后借助PLUS模型进行情景模拟,根据两类情形下生态供给能力响应差异提出各分区管控策略。【结果】研究区内生态供需耦合空间分异明显,可划分为供需协调保护区、供需匹配保育区、供需拮抗培育区、供需损益补偿区4类生态优化区,面积占比分别为47.3%、18.8%、23.1%、10.8%,供需管控实施重点分别为:继续保护增强生态服务供给能力,维护生态供需优质协调状态;保护培育区内生态服务供给能力,继续提升生态供需协调匹配程度;大力提升区内生态供给的质和量;严禁生态占用和破坏。供需管控情形下研究区生态服务供给能力得到优化提升,相较于自然发展情形提升15.6%。【结论】基于供需可达性空间耦合的生态优化分区,能更有效地把握区域生态供需空间分异和管控实施重点。

关键词: 生态优化分区, 国土空间规划, 可达性, 生态服务供需, 耦合协调, PLUS模型, 常州市金坛区

Abstract:

【Objective】Territorial spatial planning is crucial for building ecological civilization, with ecological space optimization and zoning management serving as the foundation for effective planning.【Method】The study area was Jintan District in Changzhou City. First, we evaluated ecological service values and calculated the ecological service supply-demand ratio. We then assessed the ecological supply-demand coordination degree using an improved potential model to determine ecological supply accessibility. Next, we superimposed the ecological service supply-demand ratio and coordination degree to identify ecological optimization zones. Scenario simulations were conducted with the PLUS model, and control strategies were proposed based on the differences in ecological supply capacity responses between the scenarios.【Result】The study area showed significant spatial variation in ecological supply and demand coupling. We identified four types of ecological optimization zones: supply and demand coordination protection zone (47.3%), supply and demand matching conservation zone (18.8%), supply and demand antagonism cultivation zone (23.1%), and supply and demand loss and gain compensation zone (10.8%). The focus of supply and demand control should be: continuing to protect and enhance ecological service supply capacity, maintaining the coordination of supply and demand quality; protecting and cultivating regional ecological service supply capacity, and improving supply and demand coordination; significantly increasing the quality and quantity of regional ecological supply; and strictly prohibiting ecological occupation and destruction. The supply and demand control scenario improved ecological service supply capacity by 15.6% compared with the natural development scenario.【Conclusion】Ecological optimization zoning based on spatial coupling of supply and demand accessibility effectively addresses regional ecological supply and demand differentiation and prioritizes control implementation.

Key words: ecological optimization zoning, territorial spatial planning, accessibility, supply and demand of ecological services, coupling coordination, PLUS model, Jintan District of Changzhou City

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