Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China
The imbalance between the supply and demand of urban ecosystem services significantly impacts land resource utilization and residents’ quality of life. This study innovatively examines the spatio-temporal evolution of these services at the block scale in Xiamen, China, from 2012 to 2022, addressing...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Ecological Indicators |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X25002201 |
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| author | Yaling Gao Danling Fu He Huang Jinwen Jiang Qunyue Liu Liying Zhu Guochang Ding |
| author_facet | Yaling Gao Danling Fu He Huang Jinwen Jiang Qunyue Liu Liying Zhu Guochang Ding |
| author_sort | Yaling Gao |
| collection | DOAJ |
| description | The imbalance between the supply and demand of urban ecosystem services significantly impacts land resource utilization and residents’ quality of life. This study innovatively examines the spatio-temporal evolution of these services at the block scale in Xiamen, China, from 2012 to 2022, addressing a gap in current research that often focuses on larger scales like watersheds. Using multi-source data, six ecosystem services, including water conservation, carbon sequestration, and habitat quality, were assessed, revealing notable deficiencies. The study also employs the GMOP-PLUS model to simulate land use and ecosystem service changes under three scenarios—Natural development (ND), Economic development (ED), and Ecological low-carbon development (EL)—projected to 2027. Results highlight a significant spatial imbalance with a “North Supply, South Demand” pattern, particularly in southern urban areas. While all scenarios show a decline in green space and ecosystem services, the economic growth scenario improves economic benefits, and the ecological conservation scenario enhances low-carbon and ecological services. This research provides novel insights and optimization strategies for urban land use planning, aiming to enhance ecosystem services and support sustainable urban development. |
| format | Article |
| id | doaj-art-a85b414ca7d943149316fef5218b16b2 |
| institution | OA Journals |
| issn | 1470-160X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj-art-a85b414ca7d943149316fef5218b16b22025-08-20T01:49:30ZengElsevierEcological Indicators1470-160X2025-03-0117211328910.1016/j.ecolind.2025.113289Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, ChinaYaling Gao0Danling Fu1He Huang2Jinwen Jiang3Qunyue Liu4Liying Zhu5Guochang Ding6College of Design, Fujian University of Technology, Fuzhou 350118, ChinaCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, China; National Center for Water Conservancy Scenic Area Research, Fuzhou 350002, China; Corresponding author.College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Design, Fujian University of Technology, Fuzhou 350118, China; National Center for Water Conservancy Scenic Area Research, Fuzhou 350002, ChinaCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaCollege of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350002, ChinaThe imbalance between the supply and demand of urban ecosystem services significantly impacts land resource utilization and residents’ quality of life. This study innovatively examines the spatio-temporal evolution of these services at the block scale in Xiamen, China, from 2012 to 2022, addressing a gap in current research that often focuses on larger scales like watersheds. Using multi-source data, six ecosystem services, including water conservation, carbon sequestration, and habitat quality, were assessed, revealing notable deficiencies. The study also employs the GMOP-PLUS model to simulate land use and ecosystem service changes under three scenarios—Natural development (ND), Economic development (ED), and Ecological low-carbon development (EL)—projected to 2027. Results highlight a significant spatial imbalance with a “North Supply, South Demand” pattern, particularly in southern urban areas. While all scenarios show a decline in green space and ecosystem services, the economic growth scenario improves economic benefits, and the ecological conservation scenario enhances low-carbon and ecological services. This research provides novel insights and optimization strategies for urban land use planning, aiming to enhance ecosystem services and support sustainable urban development.http://www.sciencedirect.com/science/article/pii/S1470160X25002201Ecosystem serviceSupply-demand bundlesMulti-scenario simulationOptimization strategiesXiamen |
| spellingShingle | Yaling Gao Danling Fu He Huang Jinwen Jiang Qunyue Liu Liying Zhu Guochang Ding Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China Ecological Indicators Ecosystem service Supply-demand bundles Multi-scenario simulation Optimization strategies Xiamen |
| title | Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China |
| title_full | Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China |
| title_fullStr | Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China |
| title_full_unstemmed | Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China |
| title_short | Spatio-Temporal evolution and scenario-based optimization of urban ecosystem services supply and Demand: A block-scale study in Xiamen, China |
| title_sort | spatio temporal evolution and scenario based optimization of urban ecosystem services supply and demand a block scale study in xiamen china |
| topic | Ecosystem service Supply-demand bundles Multi-scenario simulation Optimization strategies Xiamen |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X25002201 |
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