Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin
To promote sustainable hierarchical management, it is essential to understand the complex relationships within and underlying causes of supply–demand changes in water-related ecosystem services (WESs) across different spatial scales and landscape patterns. Consequently, the Optimal Parameters-based...
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MDPI AG
2024-11-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/13/11/394 |
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| author | Bin Ouyang Zhigang Yan Yuncheng Jiang Chuanjun Deng Yanhong Chen Longhua Wu |
| author_facet | Bin Ouyang Zhigang Yan Yuncheng Jiang Chuanjun Deng Yanhong Chen Longhua Wu |
| author_sort | Bin Ouyang |
| collection | DOAJ |
| description | To promote sustainable hierarchical management, it is essential to understand the complex relationships within and underlying causes of supply–demand changes in water-related ecosystem services (WESs) across different spatial scales and landscape patterns. Consequently, the Optimal Parameters-based Geographical Detector (OPGD) and Multi-Scale Geographically Weighted Regression (MGWR) are used to analyze the factors influencing changes in WESs supply–demand. The findings indicate that (1) at the macroscale, population size, and economic activity are the main driving factors, while at the microscale, precipitation becomes the primary factor influencing fluctuations in WESs supply–demand. (2) Furthermore, over time, the influence of social factors becomes increasingly significant. (3) The explanatory power of a single factor typically increases as it interacts with other factors. (4) Abundant precipitation helps in the generation and maintenance of WESs, but intense human activities may have negative impacts on them. Therefore, we have made significant progress in identifying and analyzing the natural and human-induced driving forces affecting changes in WESs by deeply integrating long-term multi-source remote sensing data with the OPGD and MGWR models. |
| format | Article |
| id | doaj-art-4ba0802a89cd406992ba0c90b6dd7278 |
| institution | OA Journals |
| issn | 2220-9964 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj-art-4ba0802a89cd406992ba0c90b6dd72782025-08-20T02:28:06ZengMDPI AGISPRS International Journal of Geo-Information2220-99642024-11-01131139410.3390/ijgi13110394Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River BasinBin Ouyang0Zhigang Yan1Yuncheng Jiang2Chuanjun Deng3Yanhong Chen4Longhua Wu5School of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Environment and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaJiangxi Vocational College of Industry & Engineering, Pingxiang 337099, ChinaJiangxi Vocational College of Industry & Engineering, Pingxiang 337099, ChinaJiangxi Vocational College of Industry & Engineering, Pingxiang 337099, ChinaTo promote sustainable hierarchical management, it is essential to understand the complex relationships within and underlying causes of supply–demand changes in water-related ecosystem services (WESs) across different spatial scales and landscape patterns. Consequently, the Optimal Parameters-based Geographical Detector (OPGD) and Multi-Scale Geographically Weighted Regression (MGWR) are used to analyze the factors influencing changes in WESs supply–demand. The findings indicate that (1) at the macroscale, population size, and economic activity are the main driving factors, while at the microscale, precipitation becomes the primary factor influencing fluctuations in WESs supply–demand. (2) Furthermore, over time, the influence of social factors becomes increasingly significant. (3) The explanatory power of a single factor typically increases as it interacts with other factors. (4) Abundant precipitation helps in the generation and maintenance of WESs, but intense human activities may have negative impacts on them. Therefore, we have made significant progress in identifying and analyzing the natural and human-induced driving forces affecting changes in WESs by deeply integrating long-term multi-source remote sensing data with the OPGD and MGWR models.https://www.mdpi.com/2220-9964/13/11/394multi scalesupply–demand changeWESsOPGDMGWR |
| spellingShingle | Bin Ouyang Zhigang Yan Yuncheng Jiang Chuanjun Deng Yanhong Chen Longhua Wu Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin ISPRS International Journal of Geo-Information multi scale supply–demand change WESs OPGD MGWR |
| title | Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin |
| title_full | Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin |
| title_fullStr | Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin |
| title_full_unstemmed | Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin |
| title_short | Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin |
| title_sort | multi scale effects of supply demand changes in water related ecosystem services across different landscapes in river basin |
| topic | multi scale supply–demand change WESs OPGD MGWR |
| url | https://www.mdpi.com/2220-9964/13/11/394 |
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