Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, China
Exploring the spatial flow pattern of ecosystem services and clarifying the transmission path between the supply area and the demand area will help to formulate more scientific and reasonable ecological protection policies. This paper takes the rapid urbanization area representing the Pearl River De...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-09-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X23005940 |
| _version_ | 1797802834069028864 |
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| author | Jiansheng Wu Xuening Fan Kaiyang Li Yuwei Wu |
| author_facet | Jiansheng Wu Xuening Fan Kaiyang Li Yuwei Wu |
| author_sort | Jiansheng Wu |
| collection | DOAJ |
| description | Exploring the spatial flow pattern of ecosystem services and clarifying the transmission path between the supply area and the demand area will help to formulate more scientific and reasonable ecological protection policies. This paper takes the rapid urbanization area representing the Pearl River Delta urban agglomeration as an example. Using Invest model to quantitative the assessment of the supply and demand of carbon sequestration services and water ecosystem services from 2000 to 2020, a spatial flow model of ecosystem services is constructed to clarify the spatial flow of regional ecosystem services pattern. In addition, the Geo-detector model is used to explore the driving factors of the supply and demand relationship of ecosystem services, and the spatiotemporal geographic weighted regression model is further used to analyze the temporal and spatial differentiation of the impact degree. Finally, based on the Bayesian belief network, the optimal state factor configuration is selected to optimize the spatial pattern, and the corresponding optimization strategy is given. The main conclusions are as follows: (1) The supply of carbon sequestration services in the Pearl River Delta decreased gradually during 2000–2020, while the demand increased gradually. The supply of water ecosystem services increased first and then decreased, while the demand showed a downward trend. (2) In terms of spatial heterogeneity of supply and demand matching, the main driving factors of carbon sequestration services included night light brightness value, temperature and vegetation index; The main driving factors of water ecosystem services include night light brightness value, land use type and vegetation index. (3) In terms of optimal areas for supply and demand matching, carbon sequestration services were mainly distributed in Zhaoqing, Huizhou and Jiangmen; The optimal matching areas of water ecosystem service supply and demand were mainly distributed in Zhaoqing, Guangzhou, Huizhou and other cities. |
| first_indexed | 2024-03-13T05:12:43Z |
| format | Article |
| id | doaj.art-1abbeb5abf2940d68a43c705638dc03d |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-13T05:12:43Z |
| publishDate | 2023-09-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-1abbeb5abf2940d68a43c705638dc03d2023-06-16T05:08:51ZengElsevierEcological Indicators1470-160X2023-09-01153110452Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, ChinaJiansheng Wu0Xuening Fan1Kaiyang Li2Yuwei Wu3Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China; Key Laboratory for Earth Surface Processes, Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China; Corresponding author at: Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, China.Key Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, ChinaKey Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, ChinaKey Laboratory for Urban Habitat Environmental Science and Technology, School of Urban Planning and Design, Peking University, Shenzhen 518055, ChinaExploring the spatial flow pattern of ecosystem services and clarifying the transmission path between the supply area and the demand area will help to formulate more scientific and reasonable ecological protection policies. This paper takes the rapid urbanization area representing the Pearl River Delta urban agglomeration as an example. Using Invest model to quantitative the assessment of the supply and demand of carbon sequestration services and water ecosystem services from 2000 to 2020, a spatial flow model of ecosystem services is constructed to clarify the spatial flow of regional ecosystem services pattern. In addition, the Geo-detector model is used to explore the driving factors of the supply and demand relationship of ecosystem services, and the spatiotemporal geographic weighted regression model is further used to analyze the temporal and spatial differentiation of the impact degree. Finally, based on the Bayesian belief network, the optimal state factor configuration is selected to optimize the spatial pattern, and the corresponding optimization strategy is given. The main conclusions are as follows: (1) The supply of carbon sequestration services in the Pearl River Delta decreased gradually during 2000–2020, while the demand increased gradually. The supply of water ecosystem services increased first and then decreased, while the demand showed a downward trend. (2) In terms of spatial heterogeneity of supply and demand matching, the main driving factors of carbon sequestration services included night light brightness value, temperature and vegetation index; The main driving factors of water ecosystem services include night light brightness value, land use type and vegetation index. (3) In terms of optimal areas for supply and demand matching, carbon sequestration services were mainly distributed in Zhaoqing, Huizhou and Jiangmen; The optimal matching areas of water ecosystem service supply and demand were mainly distributed in Zhaoqing, Guangzhou, Huizhou and other cities.http://www.sciencedirect.com/science/article/pii/S1470160X23005940Ecosystem service flowSupply and demand matchingDriversSpatial pattern optimizationUrban agglomerationThe Pearl River Delta |
| spellingShingle | Jiansheng Wu Xuening Fan Kaiyang Li Yuwei Wu Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, China Ecological Indicators Ecosystem service flow Supply and demand matching Drivers Spatial pattern optimization Urban agglomeration The Pearl River Delta |
| title | Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, China |
| title_full | Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, China |
| title_fullStr | Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, China |
| title_full_unstemmed | Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, China |
| title_short | Assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in Pearl River Delta, China |
| title_sort | assessment of ecosystem service flow and optimization of spatial pattern of supply and demand matching in pearl river delta china |
| topic | Ecosystem service flow Supply and demand matching Drivers Spatial pattern optimization Urban agglomeration The Pearl River Delta |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X23005940 |
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