陕西省植被生长与地表水分状况演变及驱动机制OA
Evolution and driving mechanisms of vegetation growth and surface moisture status in Shaanxi Province
为评估生态工程背景下区域植被恢复与地表水分供应的协同演变特征,构建了涵盖植被覆盖数量(ND-VI)、生长质量(VCI)与水分约束(TVDI)的综合评估框架,采用Theil-Sen趋势分析、变异系数及GWR模型,解析了陕西省植被生长与地表水分状况的时空演变、稳定性及其驱动机制.结果表明:(1)2000-2024年,陕西省植被绿度与健康状况呈极显著改善趋势(P<0.001),NDVI与VCI年均增速分别为0.0049与0.4866;地表水分亏缺(TVDI)呈不显著下降趋势(-0.0008·a-1,P>0.05).(2)区域植被恢复存在显著的空间异质性.陕北黄土高原植被改善面积占比超过98%,但年际波动性最高,表现出植被恢复速率高但稳定性低的特征;关中平原受城市化影响,是植被退化与地表水分亏缺风险的集中区;陕南秦巴山区生态系统表现出较高的稳定性.(3)驱动机制存在显著的空间非平稳性:在陕北地区,降水是植被改善的主导正向因子;在关中平原,降水增加伴随云蔽效应导致有效日照时数减少,光照亏缺成为制约植被光合作用的主因,使降水与植被呈显著负相关;在陕南地区,植被生长则受水热协同驱动,地表干旱主要受潜在蒸散发控制.(4)人类活动对地表水分环境的影响强于植被.在城镇密集区,以不透水面扩张为特征的城镇化开发是诱发局部地表水分亏缺的主因.研究揭示了植被绿度增加可能伴随生态系统不稳定性风险,为区域生态修复从注重数量增长转向提升质量与稳定性提供了科学依据.
This study assesses the synergistic evolution of regional vegetation restoration and surface moisture supply within the context of major ecological engineering initiatives.We developed a multidimensional assess-ment framework incorporating vegetation quantity(NDVI),growth quality(VCI),and surface water restriction(TVDI).Using high-resolution MODIS V6.1 data from 2000 to 2024,we analyzed the spatiotemporal evolution,interannual stability,and nonlinear driving mechanisms of vegetation growth and surface moisture in Shaanxi Province.Our analysis employed Theil-Sen trend analysis,the coefficient of variation(Cv),and the geographical-ly weighted regression model.The key findings are as follows:(1)Over the past 25 years,Shaanxi Province ex-hibited highly significant improvements in both vegetation greenness and physiological health(P<0.001).The av-erage annual growth rates for NDVI and VCI were 0.0049 and 0.4866,respectively.The surface moisture deficit(TVDI)showed a nonsignificant downward trend(-0.0008·a-1,P>0.05),suggesting that regional water condi-tions remained stable despite large-scale greening.(2)Regional ecological restoration displayed significant spa-tial heterogeneity and functional mismatch.In the northern Loess Plateau,over 98%of the area showed vegeta-tion improvement,but it also exhibited the highest interannual variability,reflecting"high restoration rates but low ecological stability."The Guanzhong Plain,affected by intense human interference,emerged as the primary zone for vegetation degradation and surface moisture deficit risks.By contrast,the Qinba Mountains in southern Shaanxi demonstrated the highest ecosystem resilience and stability.(3)The driving mechanisms varied signifi-cantly across different climatic zones.In semi-arid northern Shaanxi,precipitation was the dominant positive driv-er for vegetation improvement.However,in the Guanzhong Plain,a significant negative correlation was observed between precipitation and the vegetation index.This anomaly is primarily attributed to the"cloud-shading ef-fect,"where increased precipitation reduces effective sunshine hours,making light limitation the key constraint on vegetation photosynthesis in this region.In southern Shaanxi,vegetation growth was jointly driven by hydro-thermal conditions,with surface drought primarily controlled by potential evapotranspiration.(4)Human activi-ties more significantly affected the surface moisture environment than vegetation cover.In urban built-up areas,urbanization,characterized by impervious surface expansion and the heat island effect,was the primary physical mechanism inducing local surface moisture deficits.The Nighttime Light(NTL)index(q=0.069)demonstrated significantly greater explanatory power for TVDI than did population density(POP,q=0.025).This suggests that continuous increases in vegetation greenness may be accompanied by potential risks of ecosystem instability and moisture imbalance.These findings offer a scientific basis for regional ecological management to transition its fo-cus from quantitative expansion to enhancing the quality,stability,and water-resource adaptability of restored eco-systems.Recommended regional strategies include promoting"sponge cities"in the Guanzhong Plain and opti-mizing water-adaptive vegetation configurations in the Loess Plateau.
权文婷;周辉;张煦庭;何慧娟;王旭东
陕西省农业遥感与经济作物气象服务中心,陕西 西安 710016||中国气象局秦岭和黄土高原生态环境气象重点开放实验室,陕西 西安 710016陕西省农业遥感与经济作物气象服务中心,陕西 西安 710016陕西省农业遥感与经济作物气象服务中心,陕西 西安 710016陕西省农业遥感与经济作物气象服务中心,陕西 西安 710016陕西省农业遥感与经济作物气象服务中心,陕西 西安 710016
植被生长地表水分生态稳定性空间非平稳性多维遥感监测陕西省
vegetation growthsurface moistureecological stabilityspatial non-stationaritymulti-dimension-al remote sensingShaanxi Province
《干旱区研究》 2026 (8)
1669-1681,13
中国气象局秦岭和黄土高原生态环境气象重点开放实验室开放研究基金课题(2024G-8,2024G-28)
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