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Article

Discovering the Ecosystem Service Value Growth Characteristics of a Subtropical Soil Erosion Area Using a Remote-Sensing-Driven Mountainous Equivalent Factor Method

1
Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Academy of Digital China (Fujian), Fuzhou University, Fuzhou 350108, China
2
Soil and Water Conservation Center of Changting County, Longyan 366300, China
3
Fujian Soil and Water Conservation Experimental Station, Fuzhou 350002, China
4
College of Environment & Safety Engineering, Fuzhou University, Fuzhou 350108, China
5
School of Economics and Management, Fujian Green Development Research Institute, Fuzhou University, Fuzhou 350108, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(19), 3700; https://doi.org/10.3390/rs16193700
Submission received: 20 July 2024 / Revised: 20 September 2024 / Accepted: 2 October 2024 / Published: 4 October 2024

Abstract

Evaluation ecosystem service value (ESV) is critical, as “lucid waters and lush mountains are invaluable assets”. To assess the incremental effects of ecological assets on soil and water conservation in subtropical mountains, we developed a remote-sensing-driven mountainous equivalent factor (RS-MEF) method to estimate the ESV of Changting County, China. This method is a hybrid of a conventional equivalent factor framework and remote sensing techniques for mountains, achieving several advancements, including spatial adjustment using vegetation activity merged with productivity, improved spatial resolution, and the removal of topographic effects. Using the RS-MEF method, we estimated that the ESV of Changting County was approximately CNY 15.80 billion in 2010 and CNY 34.83 billion in 2022. Specifically, the ESV per unit area of the major soil erosion area (MSEA) in the county was less than that of the non-major soil erosion area (n-MSEA); however, the ESV growth rate of the MSEA from 2010 to 2022 was faster than that of the n-MSEA. Therefore, the ESV gap between the two areas was reduced from 28.99% in 2010 to 15.83% in 2022. Topographic gradient analysis illustrates that areas with elevations of 385 to 658 m and steep slopes achieved a high ESV, while high-elevation areas with gentle slopes will be a focus of control in the next phase. Our study demonstrates that significant achievements have been made in ecological restoration from an ESV perspective, with a notable reduction in low-ESV areas in the MSEA; the insights gained into ESV growth and its underlying factors are valuable and instructive for future soil and water conservation efforts.
Keywords: ecosystem service value; spatial adjustment coefficient; spatial–temporal pattern; subtropical mountain; soil erosion ecosystem service value; spatial adjustment coefficient; spatial–temporal pattern; subtropical mountain; soil erosion

Share and Cite

MDPI and ACS Style

Jiang, H.; Lin, J.; Liu, B.; Yue, H.; Lin, J.; Shui, W.; Gao, M.; Chen, Y. Discovering the Ecosystem Service Value Growth Characteristics of a Subtropical Soil Erosion Area Using a Remote-Sensing-Driven Mountainous Equivalent Factor Method. Remote Sens. 2024, 16, 3700. https://doi.org/10.3390/rs16193700

AMA Style

Jiang H, Lin J, Liu B, Yue H, Lin J, Shui W, Gao M, Chen Y. Discovering the Ecosystem Service Value Growth Characteristics of a Subtropical Soil Erosion Area Using a Remote-Sensing-Driven Mountainous Equivalent Factor Method. Remote Sensing. 2024; 16(19):3700. https://doi.org/10.3390/rs16193700

Chicago/Turabian Style

Jiang, Hong, Jing Lin, Bibao Liu, Hui Yue, Jinglan Lin, Wei Shui, Ming Gao, and Yunzhi Chen. 2024. "Discovering the Ecosystem Service Value Growth Characteristics of a Subtropical Soil Erosion Area Using a Remote-Sensing-Driven Mountainous Equivalent Factor Method" Remote Sensing 16, no. 19: 3700. https://doi.org/10.3390/rs16193700

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