Knowledge Resource Center for Ecological Environment in Arid Area
| DOI | 10.3390/w11040767 |
| Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China | |
Wang, Yunqian1,2,3,4,6; Yang, Jing5; Chen, Yaning2 ; Fang, Gonghuan2; Duan, Weili2; Li, Yupeng2; De Maeyer, Philippe4,7
| |
| 通讯作者 | Yang, Jing |
| 来源期刊 | WATER
 |
| EISSN | 2073-4441 |
| 出版年 | 2019 |
| 卷号 | 11期号:4 |
| 英文摘要 | 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. |
| 英文关键词 | soil moisture precipitation temperature vegetation non-linear Granger causality |
| 类型 | Article |
| 语种 | 英语 |
| 国家 | Peoples R China ; Belgium ; New Zealand |
| 开放获取类型 | gold, Green Published |
| 收录类别 | SCI-E |
| WOS记录号 | WOS:000473105700137 |
| WOS关键词 | GRANGER-CAUSALITY ; TREND ANALYSIS ; LAND-USE ; PRECIPITATION ; VARIABILITY ; TEMPERATURE ; DYNAMICS ; IMPACTS ; NDVI ; SIMULATIONS |
| WOS类目 | Environmental Sciences ; Water Resources |
| WOS研究方向 | Environmental Sciences & Ecology ; Water Resources |
| 来源机构 | 中国科学院新疆生态与地理研究所 |
| 资源类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/219194 |
| 作者单位 | 1.Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276826, Peoples R China; 2.Chinese Acad Sci, State Key Lab Desert & Oasis Ecol, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China; 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China; 4.Univ Ghent, Dept Geog, B-9000 Ghent, Belgium; 5.Natl Inst Water & Atmospher Res, Christchurch 8000, New Zealand; 6.Sino Belgian Joint Lab Geo Informat, Urumqi 830011, Peoples R China; 7.Sino Belgian Joint Lab Geo Informat, B-9000 Ghent, Belgium |
| 推荐引用方式 GB/T 7714 | Wang, Yunqian,Yang, Jing,Chen, Yaning,et al. Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China[J]. 中国科学院新疆生态与地理研究所,2019,11(4). |
| APA | Wang, Yunqian.,Yang, Jing.,Chen, Yaning.,Fang, Gonghuan.,Duan, Weili.,...&De Maeyer, Philippe.(2019).Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China.WATER,11(4). |
| MLA | Wang, Yunqian,et al."Quantifying the Effects of Climate and Vegetation on Soil Moisture in an Arid Area, China".WATER 11.4(2019). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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