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Ai Z, Yao Y, Dang X, Li X, Hou M, Deng Y, Xiao L, Li T, Wang T. Study on the trade-off/synergy between ecosystem services and human well-being based on land use in Weinan City, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:13549-13562. [PMID: 38253832 DOI: 10.1007/s11356-024-31933-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 01/04/2024] [Indexed: 01/24/2024]
Abstract
Change of land use have important impacts on ecosystem services (ESs) and human well-being (HWB), yet the trade-off/synergy among land use, ESs, and HWB has still not received sufficient attention at city regional scales level. Weinan City in the southern of the Loess Plateau of China was taken as the study area. Based on ArcGIS, InVEST model, and RUSLE model, the characteristics of spatial and temporal variations of land use and ESs from 2000 to 2020 were analyzed, and the trade-off/synergy relationship between land use, ESs, and HWB was quantified using correlation analysis. The results indicated that the area of cultivated land decreased significantly and the area of built-up land increased significantly from 2000 to 2020 in Weinan City. The grain production, soil conservation, and water yield functions showed an increasing trend, which was a synergistic relationship with HWB. Carbon storage and habitat quality functions showed a decreasing trend, which was a trade-off relationship with HWB. The index value of HWB has increased significantly, mainly in the added value of agricultural and rural per capita income. Land use intensity has a trade-off relationship with GP, WY functions, and HWB. There are many factors that affect this trade-off/synergy relationship, such as land use patterns, economic development, and population growth. The study can provide a theoretical basis for the sustainable development of regional economy and nature.
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Affiliation(s)
- Zemin Ai
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China.
| | - Yuyan Yao
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Xiaohu Dang
- College of Geology and Environment, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Xinghua Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Mengjia Hou
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Yi Deng
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Lie Xiao
- State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, 710048, Shaanxi, People's Republic of China
| | - Ting Li
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
| | - Tao Wang
- College of Geomatics, Xi'an University of Science and Technology, Xi'an, 710054, Shaanxi, People's Republic of China
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