Unraveling the dynamics of soil drought and its controlling factors across diverse ecosystems

生态系统 陆地生态系统 环境科学 含水量 森林生态学 草原 土壤质地 蒸散量 植被(病理学) 土壤水分 土壤科学 水文学(农业) 生态学 地质学 生物 病理 岩土工程 医学
作者
Lu Zhang,Jianxia Chang,Aijun Guo,Yimin Wang,Guibin Yang,Kai Zhou
出处
期刊:Catena [Elsevier BV]
卷期号:238: 107849-107849 被引量:3
标识
DOI:10.1016/j.catena.2024.107849
摘要

Soil drought exhibits diverse characteristics across ecosystems due to intricate interactions within the soil–plant-atmosphere continuum. However, the dynamic variability and dominant factors of soil drought in different ecosystems remain unclear. To address this knowledge gap, this study characterized soil drought according to the standardized soil moisture index (SSMI) constructed using root-soil moisture data of the Global Land Data Assimilation System. Environmental factors were classified into three categories, namely climate factors (precipitation, temperature, and potential evapotranspiration), vegetation factors (NDVI and LAI), and topographic and soil factors (elevation, slope, aspect, groundwater storage, and soil texture). On this basis, the impact of terrestrial and meteorological multi-factors and their interactive effects on soil drought variation were examined through correlation analysis. Moreover, redundancy analysis (RDA) was employed to quantify the contribution of multiple drivers to soil drought in ecosystems, as well as identify the dominant factor. The results indicated that: (i) large-scale extreme drought events are more likely to occur in forest ecosystems than in farmland and grassland ecosystems; (ii) the duration of soil drought was longer in winter, especially in forest ecosystems; (iii) in winter, soil drought is more likely to occur in farmland ecosystems than in natural ecosystems; (iv) in farmland, grassland, and forest ecosystems, environmental factors explained 71.9%, 74.0%, and 77.8% of the changes in soil drought, respectively; (v) the dominant factor controlling soil drought was temperature for farmland ecosystems (F=321.20, p<0.01), and vegetation for forest (F=212.36, p<0.01) and grassland ecosystems (F=168.00, p<0.01).
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