Investigating Ecosystem Service Trade-Offs and Synergies: The Need for Correlations and Driving Factors in the Upper Fen River Basin of Shanxi Province, China

Zhongyi Ding, Yuxin Wang, Liang Ma, Jintan Yang, Huping Hou (), Jing Wang, Jinting Xiong and Shaoliang Zhang
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Zhongyi Ding: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Yuxin Wang: Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China
Liang Ma: Shanxi Provincial Geological Exploration Bureau 213 Geological Team Co., Ltd., Linfen 041000, China
Jintan Yang: Shanxi Provincial Geological Exploration Bureau 213 Geological Team Co., Ltd., Linfen 041000, China
Huping Hou: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Jing Wang: School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China
Jinting Xiong: Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China
Shaoliang Zhang: National Land Space Ecological Restoration and Monitoring Research Center, China University of Mining and Technology, Xuzhou 221116, China

Land, 2024, vol. 13, issue 11, 1-17

Abstract: This research provides an overview of the trade-offs and synergies among ecosystem services (ESs) within the upper Fen River Basin (uFRB) that are crucial for informed land management and regional ecological protection. We utilized methodologies, including the dynamic equivalent factor method and spatial autocorrelation analysis, to track ES and driving factors from 1990 to 2020. This study revealed a 13.27% increase in overall ES value, with notable growth in forest land and water areas. Initially, synergies were dominant, but trade-offs became evident over time, particularly with food production. This study identified road proximity and the Normalized Difference Vegetation Index (NDVI) as primary drivers of ES values, with their impact evolving annually. The analysis also highlighted the importance of considering the temporal dynamics in ES relationships and the influence of driving factors on these services. We propose incorporating socio-ecological factors and ES bundles into spatial planning. This is crucial as it will allow us to optimize multi-ES objectives, thus balancing trade-offs and enhancing synergies for sustainable land use.

Keywords: ecosystem service value; trade-off and synergy; driving factors; the upper Fen River Basin (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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