Teng Gan, Zhang Ting, Li Long, Chen Longqian, Yu Ziqi
School of Public Policy and Management, China University of Mining and Technology, Daxue Road 1, Xuzhou, 221116, China.
Research Center for Transformation Development and Rural Revitalization of Resource-Based Cities in China, China University of Mining and Technology, Daxue Road 1, Xuzhou, 221116, China.
Sci Rep. 2025 Aug 29;15(1):31843. doi: 10.1038/s41598-025-14456-4.
A comprehensive understanding of the impact of land use change on ecosystem services is essential for regional sustainable development. This study aims to enhance the accuracy of ecosystem service value (ESV) assessment by accounting for regional differences and to propose a novel approach for quantifying the relationship between land use change and ecosystem services. Based on land use data from the Huaihai Economic Zone (HEZ) during 1995-2020, spatially adjusted equivalence factors were employed to estimate ESV, while the coefficient of improved cross sensitivity (CICS) was developed to measure the linkage between land use and ESV. In addition, exploratory spatial analysis methods were applied to reveal the spatial distribution patterns of ESV across the region. The results show that: (1) From 1995 to 2020, land use in the HEZ was dominated by farmland, with increases in built-up land and water areas; (2) Regional ESV gains were primarily driven by the conversion of farmland, wetlands, and built-up land into water areas, whereas ESV losses mainly resulted from the conversion of farmland into built-up land and the transformation of woodland and grassland into farmland; (3) Regional ESV was most sensitive to the conversion of farmland to water areas and least sensitive to the conversion of woodland to built-up land; (4) The spatial distribution of ESV remained relatively stable, showing significant positive spatial autocorrelation, with the spatial effect gradually weakening over time. This study enhanced the accuracy of regional ESV estimation, dynamically analyzed the impact of land use changes on ecosystem services using the profit and loss table, and introduced CICS to provide a more intuitive measure of the relationship between land use and ecosystem services. These findings provide a reference for exploring the interaction between land use and ecosystem services in the HEZ.
全面了解土地利用变化对生态系统服务的影响对于区域可持续发展至关重要。本研究旨在通过考虑区域差异来提高生态系统服务价值(ESV)评估的准确性,并提出一种量化土地利用变化与生态系统服务之间关系的新方法。基于1995 - 2020年淮海经济区(HEZ)的土地利用数据,采用空间调整后的当量因子来估算ESV,同时开发了改进的交叉敏感性系数(CICS)来衡量土地利用与ESV之间的联系。此外,应用探索性空间分析方法揭示了整个区域ESV的空间分布模式。结果表明:(1)1995年至2020年,淮海经济区的土地利用以农田为主,建成区土地和水域面积增加;(2)区域ESV的增加主要是由农田、湿地和建成区土地转变为水域驱动的,而ESV的损失主要是由于农田转变为建成区土地以及林地和草地转变为农田;(3)区域ESV对农田转变为水域最为敏感,对林地转变为建成区土地最不敏感;(4)ESV的空间分布保持相对稳定,呈现出显著的正空间自相关性,且空间效应随时间逐渐减弱。本研究提高了区域ESV估计的准确性,利用损益表动态分析了土地利用变化对生态系统服务的影响,并引入CICS以更直观地衡量土地利用与生态系统服务之间的关系。这些发现为探索淮海经济区土地利用与生态系统服务之间的相互作用提供了参考。