Estimating the field capacity and permanent wilting point at the regional scale for the Hexi Corridor in China using a state-space modeling approach
文献类型：期刊论文
| 作者 | Li, Xiangdong1,2; Shao, Ming'an1,2,3; Zhao, Chunlei2,3 |
| 刊名 | JOURNAL OF SOILS AND SEDIMENTS
 |
| 出版日期 | 2019-11-01 |
| 卷号 | 19期号:11页码:3805-3816 |
| 关键词 | Field capacity Hexi Corridor Permanent wilting point State-space model Stepwise multiple linear regression |
| ISSN号 | 1439-0108 |
| DOI | 10.1007/s11368-019-02314-6 |
| 通讯作者 | Shao, Ming'an(shaoma@igsnrr.ac.cn) |
| 英文摘要 | Purpose The field capacity (FC) and permanent wilting point (PWP) are important soil hydraulic properties that determine the maximum available water for plants, and they are crucial parameters for biophysical models and irrigation management. However, previous estimates of the FC and PWP failed to consider their spatial correlations at the regional scale. Therefore, we estimated the FC and PWP using the state-space equation by considering the spatial correlations between soil properties. Materials and methods We estimated the FC and PWP using a first order autoregressive state-space equation based on the elevation (Elev), bulk density (BD), soil texture (Clay, Silt, Sand), soil organic carbon (SOC), and land use (LU) with a data set obtained from 104 in situ sampling sites across the entire Hexi Corridor. Results and discussion The results indicated that the distributions of the FC and PWP exhibited moderate variations in the Hexi Corridor, with values of 0.127 +/- 0.060 and 0.075 +/- 0.034 g/g (mean +/- 1 standard deviation (SD)), respectively. According to t tests, the autocorrelation coefficients for FC, PWP, Elev, LU, Silt, Sand, and SOC as well as the cross-correlation coefficients between FC, PWP, and pertinent variables were significant with one lag distance (approximately 40 km) (p < 0.05). Calculations of the coefficient of determination (R-2) and root mean square error (RMSE) showed that the state-space models performed better at estimating FC and PWP than multiple linear stepwise regression models (SMLRs). Bivariate state-space equations based on Silt and LU were the optimal models for estimating FC (R-2 = 0.999, RMSE = 0.002 g/g) and PWP (R-2 = 0.997, RMSE = 0.002 g/g). According to the coefficients in the optimal state-space models, soil texture and LU were the dominant factors that affected the spatial variability in FC and PWP. After neglecting the spatial correlations between variables, the SMLRs showed that BD and soil texture were the best variables for estimating FC and PWP. Conclusions The state-space approach is recommended as a useful tool for quantifying larger-scale spatial patterns in soil properties. |
| WOS关键词 | SOIL-WATER CONTENT ; LOESS PLATEAU ; PEDOTRANSFER FUNCTIONS ; ORGANIC-CARBON ; HYDROLOGICAL PROPERTIES ; PHYSICAL-PROPERTIES ; CRITICAL ZONE ; HETEROGENEITY ; VARIABILITY ; PREDICTION |
| 资助项目 | National Natural Science Foundation of China[41530854] ; National Natural Science Foundation of China[41571130081] ; Open Research Fund of the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau[A314021402-1717] |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:000491550500014 |
| 出版者 | SPRINGER HEIDELBERG |
| 资助机构 | National Natural Science Foundation of China ; Open Research Fund of the State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/132047]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Shao, Ming'an |
| 作者单位 | 1.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China 2.Univ Chinese Acad Sci, Coll Nat Resources & Environm, Beijing 100190, Peoples R China 3.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 | Li, Xiangdong,Shao, Ming'an,Zhao, Chunlei. Estimating the field capacity and permanent wilting point at the regional scale for the Hexi Corridor in China using a state-space modeling approach[J]. JOURNAL OF SOILS AND SEDIMENTS,2019,19(11):3805-3816. |
| APA | Li, Xiangdong,Shao, Ming'an,&Zhao, Chunlei.(2019).Estimating the field capacity and permanent wilting point at the regional scale for the Hexi Corridor in China using a state-space modeling approach.JOURNAL OF SOILS AND SEDIMENTS,19(11),3805-3816. |
| MLA | Li, Xiangdong,et al."Estimating the field capacity and permanent wilting point at the regional scale for the Hexi Corridor in China using a state-space modeling approach".JOURNAL OF SOILS AND SEDIMENTS 19.11(2019):3805-3816. |
入库方式： OAI收割
来源：地理科学与资源研究所
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