Spatial variation and simulation of the bulk density in a deep profile (0-204 m) on the Loess Plateau, China
文献类型：期刊论文
| 作者 | Qiao, Jiangbo1; Zhu, Yuanjun2; Jia, Xiaoxu3; Huang, Laiming3; Shao, Ming'an2,3,4 |
| 刊名 | CATENA
 |
| 出版日期 | 2018-05-01 |
| 卷号 | 164页码:88-95 |
| 关键词 | Bulk density Deep profile Spatial variation State-space model |
| ISSN号 | 0341-8162 |
| DOI | 10.1016/j.catena.2018.01.011 |
| 通讯作者 | Zhu, Yuanjun(zhuyuanjun@foxmail.com) |
| 英文摘要 | The soil bulk density (BD) is an important physical parameter for estimating the carbon (C) and nutrient (N) reserves in soil, and for simulating hydraulic processes. However, few BD data are available for evaluating the soil carbon and nutrient reserves as well as for simulating the hydraulic processes in deep soil profiles (> 1 m). In the present study, BD data were obtained for a 204 m profile by soil core drilling, where the objectives were to investigate the spatial variation in BD by using classical statistics and geo-statistics, and to simulate the spatial distribution of BD based on a first order autoregressive state-space model and multiple linear regression. The results showed that BD exhibited an increasing trend along the profile with low variation (coefficient of variation = 6%). Best-fit semivariograms for the BD were obtained using a Gaussian model and the spatial dependence was strong. BD was significantly correlated with selected variables, i.e., sand, silt, clay, soil organic C and depth. State-space modeling and multiple linear regression both showed that clay and depth were important factors for the total variation in the BD. In addition, the state-space model with the best performance could explain 98% of the variation in the BD. Therefore, a first order autoregressive state-space model is suitable for simulating the distribution of the BD in a deep profile. |
| WOS关键词 | SPACE MODELING APPROACH ; SOIL ORGANIC-CARBON ; PEDOTRANSFER FUNCTIONS ; WATER CONTENT ; TIME-SERIES ; SCALE ; VARIABILITY ; PREDICTION ; GRASSLAND ; LANDSCAPE |
| 资助项目 | National Natural Science Foundation of China[41571130081] ; National Natural Science Foundation of China[41371242] ; National Natural Science Foundation of China[41530854] ; National Key Research and Development Program of China[2016YFC0501706-03] |
| WOS研究方向 | Geology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:000430031800010 |
| 出版者 | ELSEVIER SCIENCE BV |
| 资助机构 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/57436]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhu, Yuanjun |
| 作者单位 | 1.Northwest A&F Univ, Coll Resources & Environm, Yangling 712100, Peoples R China 2.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Agr Loess Plate, Yangling 712100, Peoples R China 3.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 4.Univ Chinese Acad Sci, Coll Resources & Environment;, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Qiao, Jiangbo,Zhu, Yuanjun,Jia, Xiaoxu,et al. Spatial variation and simulation of the bulk density in a deep profile (0-204 m) on the Loess Plateau, China[J]. CATENA,2018,164:88-95. |
| APA | Qiao, Jiangbo,Zhu, Yuanjun,Jia, Xiaoxu,Huang, Laiming,&Shao, Ming'an.(2018).Spatial variation and simulation of the bulk density in a deep profile (0-204 m) on the Loess Plateau, China.CATENA,164,88-95. |
| MLA | Qiao, Jiangbo,et al."Spatial variation and simulation of the bulk density in a deep profile (0-204 m) on the Loess Plateau, China".CATENA 164(2018):88-95. |
入库方式： OAI收割
来源：地理科学与资源研究所
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