Feng Ping, Yang Wang, Li Jian-Zhu, Yang Ni-Juan, Duan Jia-Cheng
State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300350, China.
Ying Yong Sheng Tai Xue Bao. 2025 Apr;36(4):1222-1232. doi: 10.13287/j.1001-9332.202504.022.
Dynamically assessing vegetation cover changes and their responses to ecological factors in the Luanhe River Basin is crucial for ensuring regional ecological security and promoting the sustainable development of the Beijing-Tianjin-Hebei urban agglomeration. In this study, the Luanhe River Basin was divided into two ecological zones (Inner Mongolia Plateau Ecoregion and North China Mountain Ecoregion). Using Theil-Sen median trend analysis, the Mann-Kendall test, and the optimal parameters-based geographical detector model, we systematically analyzed the spatiotemporal characteristics of vegetation change from 2000 to 2019 and quantified the effects of natural and anthropogenic factors. The results showed that the normalized difference vegetation index (NDVI) exhibited an overall increasing trend with fluctuations from 2000 to 2019, with a mean value of 0.72 and a growth rate of 0.0051·a. The NDVI growth rate in the upstream plateau ecological zone was higher but less stable, whereas vegetation in the midstream and downstream mountain ecological zone exhibited greater stability. Annual precipitation, annual sunshine duration, and land-use type conversion were identified as key drivers of NDVI variation, with explanatory power (-values) of 0.22, 0.18, and 0.17, respectively. Among them, the interaction between annual precipitation and soil type was the most significant (=0.32). Land use changes significantly contri-buted to vegetation improvement, with an average NDVI increase of 0.16 in ecological restoration project areas. By revealing the synergistic mechanism of natural and anthropogenic factors on vegetation cover changes, our results provide scientific support for ecological conservation and land management policies in the Luanhe River Basin.
动态评估滦河流域植被覆盖变化及其对生态因子的响应,对于确保区域生态安全和促进京津冀城市群的可持续发展至关重要。在本研究中,滦河流域被划分为两个生态区(内蒙古高原生态区和华北山地生态区)。利用泰尔-森中位数趋势分析、曼-肯德尔检验和基于最优参数的地理探测器模型,我们系统分析了2000年至2019年植被变化的时空特征,并量化了自然和人为因素的影响。结果表明,归一化植被指数(NDVI)在2000年至2019年总体呈波动上升趋势,平均值为0.72,增长率为0.0051·a⁻¹。上游高原生态区的NDVI增长率较高,但稳定性较差,而中游和下游山地生态区的植被稳定性较强。年降水量、年日照时数和土地利用类型转换被确定为NDVI变化的关键驱动因素,解释力(q值)分别为0.22、0.18和0.17。其中,年降水量与土壤类型之间的交互作用最为显著(q = 0.32)。土地利用变化对植被改善有显著贡献,生态恢复项目区的NDVI平均增加了0.16。通过揭示自然和人为因素对植被覆盖变化的协同机制,我们的结果为滦河流域的生态保护和土地管理政策提供了科学支持。