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Impact of vegetation restoration on soil moisture dynamics in temperate water-limited regions

文献类型： 外文期刊

作者： Lan, Lihua 1 ; Zhang, Tingting 1 ; He, Fei 5 ; Wang, Baolin 7 ; Bao, Junwei 7 ;

作者机构： 1.Chinese Acad Sci, Aerosp Informat Res Inst, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China

2.Int Res Ctr Big Data Sustainable Dev Goals, Beijing 100094, Peoples R China

3.Deqing Acad Satellite Applicat, Lab Microwave Spatial Intelligence & Cloud Platfor, Deqing 313200, Peoples R China

4.Hangzhou City Univ, Inst Spatial Informat City Brain, Hangzhou 310015, Peoples R China

5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China

6.Univ Chinese Acad Sci UCAS, Coll Resources & Environm, Beijing 100190, Peoples R China

7.Inner Mongolia Acad Agr & Anim Husb Sci, Hohhot 010031, Peoples R China

关键词： Vegetation restoration; NDVI; Climate response; Interactive effect; Soil moisture; PLS-SEM; Restoration phase

期刊名称：JOURNAL OF HYDROLOGY-REGIONAL STUDIES （ 影响因子：5.0； 五年影响因子：5.3 ）

ISSN：

年卷期： 2025 年 60 卷

页码：

收录情况： SCI

摘要： Study region: Temperate water-limited regions in northern China. Study focus: While restoring vegetation in China's temperate water-limited regions is crucial for combating desertification, its hydrological effects-whether causing soil moisture (SM) drying or wetting-remain a topic of debate. This study quantified their time-dependent interactions to evaluate phase-dependent SM responses, clearly separating the contributions of vegetation-mediated effects, climatic influences, and vegetation-climate interactions. New hydrological insights for the region: The results revealed contrasting trends between vegetation and SM across two phases. In T1 (1981-1999), NDVI significantly increased (0.0025/yr, p = 0.05) over 73 % of the area, with SM also rising (0.001 m3/m3/yr, p = 0.5) in 61 %. In T2 (2000-2020), NDVI growth accelerated (0.006/yr, p = 0.03) in 75 % of the area, while SM declined (-0.0007 m3/m3/yr, p = 1.0) in 59 %. Partial least squares structural equation modeling (PLS-SEM) identified distinct spatiotemporal drivers of SM dynamics. During T1, meteorological-vegetation interactions dominated SM increases across 60.3 % of the study area. In contrast, during T2, NDVI became the primary driver (60.7 % coverage), correlating with widespread SM declines. This quantitative framework delineated competing controls on SM and supported adaptive vegetation management in water-limited ecosystems.

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