Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China

Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China
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DOI:
10.3390/w11040767
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发表时间:
2019-04
期刊:
影响因子:
3.4
通讯作者:
Yunqian Wang;Jing Yang;Yaning Chen;G. Fang;W. Duan;Yupeng Li;P. de Maeyer
Yunqian Wang;Jing Yang;Yaning Chen;G. Fang;W. Duan;Yupeng Li;P. de Maeyer
中科院分区:
环境科学与生态学3区
文献类型:
--
作者:
Yunqian Wang;Jing Yang;Yaning Chen;G. Fang;W. Duan;Yupeng Li;P. de Maeyer

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土壤水分在陆-气相互作用中起着至关重要的作用。量化土壤水分的控制对于有效管理水资源和适应气候非常有价值。在这项研究中,我们量化了降水,温度和植被对月土壤水分变化的影响,在中国干旱地区。本文应用非线性格兰杰因果关系框架,基于多年的再分析资料,对中国大陆与东亚大陆的因果关系进行了检验。结果表明,在1982-2015年期间,降水对研究区域约91%的土壤水分有影响,并解释了高达40%的土壤水分变异。温度和植被分别解释了土壤水分变异的8.2%和3.3%。极端气候对土壤水分变化的贡献率高达10%,与一般气候动态相比,极端气候的重要性较低。时滞分析表明,降水和温度对土壤水分的影响是即时的,且在短期内消失。降水对土壤水分的影响随降水量、土壤含水量和海拔的增加而减小。该研究为揭示干旱区土壤水分变化的驱动因素提供了深刻的见解。
Soil moisture plays a critical role in land-atmosphere interactions. Quantifying the controls on soil moisture is highly valuable for effective management of water resources and climatic adaptation. In this study, we quantified the effects of precipitation, temperature, and vegetation on monthly soil moisture variability in an arid area, China. A non-linear Granger causality framework was applied to examine the causal effects based on multi-decadal reanalysis data records. Results indicate that precipitation had effects on soil moisture in about 91% of the study area and explained up to 40% of soil moisture variability during 1982–2015. Temperature and vegetation explained up to 8.2% and 3.3% of soil moisture variability, respectively. Climatic extremes were responsible for up to 10% of soil moisture variability, and the importance of climatic extremes was low compared to that of the general climate dynamics. The time-lagged analysis shows that the effects of precipitation and temperature on soil moisture were immediate and dissipated shortly. In addition, the effects of precipitation on soil moisture decreased with the increase of precipitation, soil moisture, and elevation. This study provides deep insight for uncovering the drivers of soil moisture variability in arid regions.