Liu Lemeng, Long Jinghua, Zhang Wei, Yang Jintian
School of Public Administration, Hebei University of Economics and Business, Shijiazhuang, 050061, China.
Design School, Xi' an Jiaotong-Liverpool University, Suzhou City, 215123, China.
Sci Rep. 2025 Jul 15;15(1):25631. doi: 10.1038/s41598-025-11751-y.
This study utilized Google Earth Engine (GEE) to compute the Remote Sensing Ecological Index (RSEI) and assess the spatiotemporal evolution of eco-environmental quality in the Beijing-Tianjin-Hebei (BTH) urban agglomeration from 2000 to 2020. Additionally, Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to examine how climatic, topographical, urbanization, soil, and biological factors influenced eco-environmental quality dynamics. The results showed that from 2000 to 2020, RSEI exhibited a fluctuating decline, with the proportion of areas having the highest RSEI dropping from 7.99% in 2000 to 1.20% in 2020, while regions with poor and worst RSEI levels followed a fluctuating upward trend, rising from 4.80 to 15.89%. NDVI emerged as the dominant driver of RSEI in the BTH urban agglomeration, with its contribution to the principal components peaking in 2000 and exhibiting a fluctuating downward trend thereafter until 2020. In 2015, LST turned positive in PC and similarity dropped, indicating a shift in ecological mechanisms. During this period, the ranking of key influencing factors was biological > climatic > soil > topographical > urbanization. Furthermore, the spatial distribution of RSEI exhibited distinct clustering patterns, with H-H regions mainly located in the Bashang Plateau in northern BTH, while L-L regions were concentrated in the southeastern plains, gradually expanding from scattered points to more continuous areas.
本研究利用谷歌地球引擎（GEE）计算遥感生态指数（RSEI），并评估2000年至2020年京津冀城市群生态环境质量的时空演变。此外，采用偏最小二乘结构方程模型（PLS-SEM）来研究气候、地形、城市化、土壤和生物因素如何影响生态环境质量动态。结果表明，2000年至2020年，RSEI呈波动下降趋势，RSEI最高的区域比例从2000年的7.99%降至2020年的1.20%，而RSEI水平较差和最差的区域则呈波动上升趋势，从4.80%升至15.89%。归一化植被指数（NDVI）是京津冀城市群RSEI的主要驱动因素，其对主成分的贡献在2000年达到峰值，此后呈波动下降趋势，直至2020年。2015年，地表温度（LST）在主成分中变为正值且相似度下降，表明生态机制发生了转变。在此期间，关键影响因素的排名为生物＞气候＞土壤＞地形＞城市化。此外，RSEI的空间分布呈现出明显的聚类模式，高-高（H-H）区域主要位于京津冀北部的坝上高原，而低-低（L-L）区域集中在东南部平原，从分散的点逐渐扩展到更连续的区域。
