IGSNRR OpenIR
Spatial variation and simulation of the bulk density in a deep profile (0-204 m) on the Loess Plateau, China
Qiao, Jiangbo1; Zhu, Yuanjun2; Jia, Xiaoxu3; Huang, Laiming3; Shao, Ming'an2,3,4
2018-05-01
Source PublicationCATENA
ISSN0341-8162
Volume164Pages:88-95
Corresponding AuthorZhu, Yuanjun(zhuyuanjun@foxmail.com)
AbstractThe 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.
KeywordBulk density Deep profile Spatial variation State-space model
DOI10.1016/j.catena.2018.01.011
WOS KeywordSPACE MODELING APPROACH ; SOIL ORGANIC-CARBON ; PEDOTRANSFER FUNCTIONS ; WATER CONTENT ; TIME-SERIES ; SCALE ; VARIABILITY ; PREDICTION ; GRASSLAND ; LANDSCAPE
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational Natural Science Foundation of China ; National Key Research and Development Program of China
WOS Research AreaGeology ; Agriculture ; Water Resources
WOS SubjectGeosciences, Multidisciplinary ; Soil Science ; Water Resources
WOS IDWOS:000430031800010
PublisherELSEVIER SCIENCE BV
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57437
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhu, Yuanjun
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Qiao, Jiangbo]'s Articles
[Zhu, Yuanjun]'s Articles
[Jia, Xiaoxu]'s Articles
Baidu academic
Similar articles in Baidu academic
[Qiao, Jiangbo]'s Articles
[Zhu, Yuanjun]'s Articles
[Jia, Xiaoxu]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Qiao, Jiangbo]'s Articles
[Zhu, Yuanjun]'s Articles
[Jia, Xiaoxu]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.