| 摘要: |
| 目的 科学开展生态系统服务供需匹配及空间测度是实现耕地资源优化配置和差异化管控的基础。方法 文章采用生态系统服务和权衡的综合评估模型（Integrated Valuation of Ecosystem Services and Trade-offs，InVEST）、最大熵模型（Maximum Entropy Model，MaxEnt）、地理加权回归模型（Geographically Weighted Regression，GWR）等构建了精细尺度下基于生态系统服务供需匹配的耕地分区管控框架。结果 （1）生境质量、粮食供给和固碳服务的高值区分别位于桐乡市西南部和西北部，娱乐游憩服务的高值区主要分布在建设用地周边。生态系统服务需求高值区主要位于中心城区和乡镇周边，同时东部地区对娱乐游憩服务需求较大。（2）桐乡市西南部洲泉镇生态系统服务失配最为严重，固碳、土壤保持以及粮食供应失配分别达到54.7%、31.8%和28.7%；娱乐游憩服务是供需失配最为严重的服务类型，其失配区主要位于桐乡市东部。（3）将桐乡市耕地划分为5个分区，结合各分区耕地利用现状，分别提出打造农业景观提升耕地美学价值、有序退出非粮化并进行生态环境修复和复耕、加强苗木种植监测预警、将农田纳入绿地景观建设以提升生境质量、提升耕地质量与碳储量等差异化管控策略。结论 该研究可为区域生态系统服务精细化管理和耕地差异化管控提供参考。 |
| 关键词: 生态系统服务 供需匹配 耕地 地理加权回归模型 分区 |
| DOI：10.7621/cjarrp.1005-9121.20250911 |
| 分类号:F301.21;X171.1 |
| 基金项目:国家自然科学基金项目“耦合微观利益主体需求和生态系统服务供给的耕地利用优化研究”（42201281）；国家自然科学基金项目“基于生态系统文化服务的乡村景观特征评估及空间优化研究”（42401116）；安徽省自然科学基金项目“耕地非粮化演变对生态系统服务供需的影响机制与优化调控研究”（2208085QD102）；安徽省高校人文社科重大项目“基于生态系统服务供需匹配的耕地分区管理研究”（2024AH040310） |
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| SUPPLY-DEMAND SPATIAL MATCHING OF CROPLAND ECOSYSTEM SERVICES AND ZONING CONTROL IN THE NORTHERN PLAINS OF ZHEJIANG PROVINCEA CASE STUDY OF TONGXIANG CITY |
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Su Yue1, Jiang Xuemei1, Wang Cheng1, Zhu Congmou2, Li Yongjun3, Wang Xiaohu1
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1.College of Economics and Management, Anhui Agricultural University, Hefei 230036, Anhui, China;2.Department of Land Resources Management, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China;3.College of Horticulture, Nanjing Agricultural University, Nanjing 210095, Jiangsu, China
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| Abstract: |
| Scientifically carrying out supply-demand matching and spatial measurement of ecosystem services is the basis for realizing optimal allocation and differentiated management and control of cultivated land resources. A zoning control framework for cultivated land based on ecosystem service supply and demand matching at a fine scale was constructed by using InVEST, MaxEnt, and geographical weighted regression model. The results showed that: (1) High-value areas of habitat quality, food supply, and carbon sequestration services were respectively located in the southwest and northwest of Tongxiang city, with high-value zones of recreation services mainly distributed around construction lands. The high-value areas of ecosystem service demand were primarily situated in the central urban area and surrounding towns, with the eastern region showing a greater demand for entertainment and recreation. (2) The mismatch of ecosystem services in Zhouquan town, southwest of Tongxiang city, was the most serious, and the mismatch of carbon sequestration, soil conservation, and food supply reached 54.7, 31.8, and 28.7, respectively. The mismatch between supply and demand of entertainment and recreation service was the most serious, and its mismatch area was mainly located in the east of Tongxiang city. (3) The cultivated land in Tongxiang city was divided into five zones. According to the status quo of cultivated land utilization in each zone, differentiated control strategies were proposed, such as building agricultural landscape to enhance the aesthetic value of cultivated land, withdrawing from non-grain use gradually and carrying out ecological restoration, strengthening the monitoring and warning for seedling planting, integrating farmland into green landscape construction to enhance the habitat quality, and improving the cultivated land quality and enhancing the carbon stock. This study can provide a reference for the refined management of regional ecosystem service and differentiated control of cultivated land. |
| Key words: ecosystem services supply and demand matching cultivated land geographical weighted regression model zoning |
