山西省生态经济系统协调度演变格局及其影响因素

目的]探究山西省生态经济系统协调发展程度及其影响因素，为推动该地区生态经济协调高质量发展提供理论支撑与科学参考。方法]基于2000—2020年5期土地利用数据，采用修正后的单位面积生态系统服务当量因子，结合生态系统服务价值(ESV)评估模型、生态经济协调度模型以及地理探测器与空间分析法对山西省ESV、经济发展以及生态经济协调度进行综合研究。结果] 2000—2020年山西省ESV由3 241.73亿元下降至3 189.70亿元，呈现出先增后减的动态变化特征，除林地ESV增加外，其余土地利用类型ESV均出现不同程度的下降，其中耕地下降幅度最大，降幅为5.42%;ESV空间分布格局较为稳定，高值区分布在太行山、太岳山以及吕梁山等山区地带，低值区分布在太原盆地、长治盆地、临汾盆地以及运城盆地等人类活动密集地区，且范围有所增扩。2000—2020年山西省生态经济系统协调度指数为-0.001 9,处于低度失调状态，其经历了由低度协调向低度失调转变的过程，生态经济协调关系出现恶化，空间上呈现出南高北低的分布格局，生态经济系统可持续协调发展面临极大挑战。NDVI和城镇化率对协调度的影响程度远大...

Evolution Pattern of Ecosystem Coordination and Its Influencing Factors in Shanxi Province

Objective] The degree of coordinated development of ecological and economic systems in Shanxi Province and the factors influencing that development was determined in order to provide theoretical support and a scientific reference for promoting coordinated and high-quality ecological and economic development in the region. Methods] Based on land use data of five periods from 2000 to 2020, we used the modified ecosystem service equivalent factor per unit area, combined with an ecosystem service value (ESV) assessment model, an ecological-economic coordination degree model, and a geographic probe and spatial analysis method to conduct a comprehensive study of ESV, economic development, and ecological-economic coordination degree in Shanxi Province. Results] ESV in Shanxi Province from 2000 to 2020 decreased from RMB 324.173 billion to RMB 318.970 billion, showing a dynamic change characteristic of first increasing and then decreasing, except for the continued increase of forest land ESV. ESV for all other land use types decreased to different degrees, among which arable land decreased the most (5.42%). The ESV spatial distribution pattern was relatively stable, with high value areas located in mountainous areas such as the Taihang Mountains, the Taiyue Mountains, and the Luliang Mountains, and low value areas located in areas with intensive human activities such as the Taiyuan Basin, the Changzhi Basin, the Linfen Basin, and the Yuncheng Basin. The range has expanded over time. NDVI and urbanization rate had a greater influence on the coordination degree than GDP, population density, industrialization rate, and land development intensity. The remaining factors had a smaller influence on the coordination degree. The degree of influence of other factors on the coordination degree of eco-economic system was smaller, and the degree of influence of socio-economic factors on the coordination degree of the eco-economic system was significantly larger than that of natural environmental factors. Conclusion] Human socio-economic activities were the key factors affecting the coordination degree of the eco-economic system. The rational development and effective utilization of regional water and soil resources were the key to understanding the coordinated and sustainable development of the eco-economic system in Shanxi Province.