Using pedo-transfer functions to estimate dry soil layers along an 860-km long transect on China's Loess Plateau
文献类型：期刊论文
| 作者 | Zhao, Chunlei1,2; Jia, Xiaoxu1,2; Shao, Ming'an1,2; Zhang, Xubo2 |
| 刊名 | GEODERMA
 |
| 出版日期 | 2020-06-15 |
| 卷号 | 369页码:11 |
| 关键词 | Dry soil layer Pedo-transfer function Soil desiccation Water management |
| ISSN号 | 0016-7061 |
| DOI | 10.1016/j.geoderma.2020.114320 |
| 通讯作者 | Jia, Xiaoxu(jiaxx@igsnrr.ac.cn) |
| 英文摘要 | Dry soil layer (DSL) development as a result of imbalance in water input and output is a widespread pedohydrological phenomenon in arid/semi-arid regions such as the China's Loess Plateau (CLP). To build sufficient data for large-scale DSL estimation, soil water data for the 0-5 m soil profile were collected for the period 2013-2016 along an 860-km long transect on CLP and analyzed for pedo-transfer functions (PTFs). The objective was to determine the effects of environmental factors on DSL variation and to develop an effective PTF for the estimation of DSLs on CLP. Three DSL evaluation indices were calculated - DSL thickness (DSL-T), DSL formation depth (DSL-F) and DSL mean soil desiccation index (DSL-SDI). The results showed that DSLs were mainly distributed in the northcentral part of the transect, with a mean thickness of 2.77 m. We compared the performances of PTFs developed by different approaches - multiple regression (MR), artificial neural network (ANN) and the indirect and direct methods. It showed that the ANN approach effectively predicted DSL formation and indices. The indirect method improved simulation accuracy of DSL indices. The combination of the ANN approach and the indirect method gave the best estimation accuracy for DSL indices. The application of the PTFs not only reduced labor and time needed for field survey of DSL, but also improved DSL research on CLP and beyond. The indirect method based on soil moisture and/or hydrological models was promising for the estimation of DSL indices. |
| WOS关键词 | SATURATED HYDRAULIC CONDUCTIVITY ; WATER CARRYING-CAPACITY ; MOISTURE ; EVAPOTRANSPIRATION ; VARIABILITY ; VEGETATION ; DROUGHT |
| 资助项目 | National Natural Science Foundation of China[41877016] ; National Natural Science Foundation of China[41907009] ; China Postdoctoral Science Foundation[2018M641460] ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2017076] |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000524458800018 |
| 出版者 | ELSEVIER |
| 资助机构 | National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Youth Innovation Promotion Association of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/134082]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Jia, Xiaoxu |
| 作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhao, Chunlei,Jia, Xiaoxu,Shao, Ming'an,et al. Using pedo-transfer functions to estimate dry soil layers along an 860-km long transect on China's Loess Plateau[J]. GEODERMA,2020,369:11. |
| APA | Zhao, Chunlei,Jia, Xiaoxu,Shao, Ming'an,&Zhang, Xubo.(2020).Using pedo-transfer functions to estimate dry soil layers along an 860-km long transect on China's Loess Plateau.GEODERMA,369,11. |
| MLA | Zhao, Chunlei,et al."Using pedo-transfer functions to estimate dry soil layers along an 860-km long transect on China's Loess Plateau".GEODERMA 369(2020):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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