Abstract
Riverine and lacustrine shorelines are crucial for human survival and development, but their natural and ecological environments are highly fragile and sensitive. Intensified human activities have placed unprecedented pressure on the shoreline ecosystem of the Yangtze River Basin. This study investigates the degradation of river and lake shorelines and its cascading effects on ecological service functions. Using Sentinel-2 as the primary data source, we analyzed land use/cover changes and ecosystem service values (ESV) in the Huanggang and Taihu sections of the Yangtze River from 2018 to 2022. The supervised classification results using the support vector machine (SVM) algorithm exceeded 95% accuracy. In the Huanggang section, vegetation was significantly converted into cultivated land and built-up areas (−6.17 km2), while in the Taihu section, water bodies were largely transformed into agricultural land (−3.77 km2). In this study, we quantified changes in ESV using the unit area equivalent factor method, adjusted based on net primary productivity, precipitation, and the soil conservation coefficient. The results indicate that the ESV ranking in both sections follows the order: water conservation > environmental purification > biodiversity > soil conservation. From 2018 to 2022, the ESV in the Huanggang section declined due to forest and grassland loss and an increase in bare land. In contrast, ecological restoration and habitat protection policies contributed to an improvement in ecosystem service functions in the Taihu section, with various ESV components increasing as follows: soil conservation (8.79%) > biodiversity (6.67%) > environmental purification (5.98%) > water conservation (5.52%). These findings provide valuable insights for decision-making in the protection and management of the Yangtze River Basin ecosystem. © 2025 by the authors.
| Original language | English |
|---|---|
| Article number | 1038 |
| Number of pages | 16 |
| Journal | Land |
| Volume | 14 |
| Issue number | 5 |
| Online published | 9 May 2025 |
| DOIs | |
| Publication status | Published - May 2025 |
| Externally published | Yes |
Funding
This research was funded by the National Natural Science Foundation of China, grant number 42401357, and the International Research Center of Big Data for Sustainable Development Goals (CBAS), grant number CBASYX0906.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 6 Clean Water and Sanitation
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SDG 15 Life on Land
Research Keywords
- ecosystem service value
- equivalent factor approach
- landscape change
- remote sensing
Publisher's Copyright Statement
- This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/
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