1986-2024年京津冀地区植被时空动态评估:基于XGBoost-SHAP方法的驱动机制研究OA
Spatiotemporal dynamics of vegetation in the Beijing-Tianjin-Hebei region during 1986-2024:a driving mechanism analysis based on XGBoost-SHAP
京津冀地区作为我国北方重要城市群,其植被动态对生态屏障建设和区域可持续发展具有关键意义.本研究基于1986-2024年30 m分辨率无云无缝Landsat归一化植被指数(NDVI)数据集,综合运用Theil-Sen斜率、Mann-Kendall 检验、Hurst指数和变异系数评估了植被的时空动态特征,并基于XGBoost-SHAP框架解析其驱动机制.结果表明,39年来京津冀地区生长季NDVI总体呈增加趋势,均值为0.5068,年增速为0.0037,增幅达30.46%,表明区域植被覆盖整体明显改善;阶段演变分析显示,植被退化区占比由33%下降至10%,改善区占比上升至79%,86%区域的植被呈持续改善态势,但是45%区域的植被仍呈高波动性.空间上,较高植被覆盖区集中于东北部山地森林区域,低覆盖区则零星分布于城市建成区及高海拔地区.驱动因子贡献阶段性特征明显:第一阶段以自然因子(坡度、降水)主导,第二阶段土地覆盖类型的贡献跃升,反映出生态政策的影响,第三阶段人为因子(人口密度、夜间灯光)作用增强,驱动模式转向人类-自然耦合;区域驱动因子异质性显著,北京/天津更受人为活动影响,河北以地形和气候因子为主.该研究揭示了京津冀植被改善主要归功于生态政策与气候因素的协同作用,但仍需警惕城市化带来的干扰,可为区域生态管理和"双碳"目标提供科学支撑.
Vegetation dynamics in the Beijing-Tianjin-Hebei(BTH)region,a major urban agglomeration in northern China,are critical for ecological barrier construction and regional sustainable development.Based on a cloud-free and seamless Landsat normalized difference vegetation index(NDVI)dataset with a spatial resolution of 30 m from 1986 to 2024,this study investigated the spatiotemporal dynamics of vegetation using the Theil-Sen slope estimator,Mann-Kendall test,Hurst exponent,and coefficient of variation.The driving mechanisms were further quantified within the XGBoost-SHAP framework.The results showed that the growing-season NDVI in the BTH region exhibited an overall increasing trend during the past 39 years,with a mean value of 0.5068 and an annual increasing rate of 0.0037,corresponding to an increase of 30.46%,indicating a significant improvement in regional vegetation cover.Stage-based analysis revealed that the proportion of vegetation degradation areas decreased from 33%to 10%,whereas the proportion of improvement areas increased to 79%.Approximately 86%of the region exhibited persistent vegetation improvement;however,nearly 45%of the area still showed high interannual variability.Spatially,areas with high vegetation coverage were mainly concentrated in the mountainous forest regions of northeastern BTH,whereas areas with low vegetation coverage were sporadically distributed in urban built-up areas and high-altitude regions.The contributions of driving factors exhibited distinct stage-dependent characteristics.In the first stage,natural factors,particularly slope and precipitation,dominated vegetation changes.In the second stage,the contribution of land cover type increased substantially,reflecting the influence of ecological restoration policies.In the third stage,anthropogenic factors,including population density and nighttime light intensity,became increasingly important,indicating a shift toward human-nature coupled dynamics.Significant regional heterogeneity in driving factors was also observed:vegetation dynamics in Beijing and Tianjin were more strongly influenced by human activities,whereas topographic and climatic factors dominated in Hebei province.Overall,the findings suggest that vegetation improvement in the BTH region was primarily driven by the synergistic effects of ecological policies and climatic factors,although disturbances associated with rapid urbanization still warrant attention.This study provides scientific support for regional ecological management and the achievement of China's "dual-carbon"goals.
张欣;权畅;王小飞;张方敏
河北省气象与现代经济重点实验室,石家庄 050021||河北省气象科学研究所,石家庄 050021河北省气象与现代经济重点实验室,石家庄 050021||河北省气象科学研究所,石家庄 050021漯河市气象局,漯河 462300南京信息工程大学生态与应用气象学院农业与生态气象江苏省高校重点实验室,南京 210044
京津冀归一化植被指数(NDVI)植被动态XGBoost-SHAP驱动机制
Beijing-Tianjin-Hebei(BTH)regionNormalized Difference Vegetation Index(NDVI)Vegetation dynamicsXGBoost-SHAPDriving mechanisms
《气候变化研究进展》 2026 (3)
316-330,15
国家重点研发计划(2023YFF0805402)
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