ISWC OpenIR  > 水保所科研产出--SCI  > 2018--SCI
Spatial variation and simulation of the bulk density in a deep profile (0-204 m) on the Loess Plateau, China
Jiangbo Qiao1; Yuanjun Zhu2; Xiaoxu Jia3; Laiming Huang3; Ming'an Shao2,3; Zhu, YJ (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Agr Loess Plate, Yangling 712100, Peoples R China.
SubtypeArticle
2018
Source PublicationCATENA
ISSN0341-8162
description.correspondentemailzhuyuanjun@foxmail.com
Volume164Pages:88-95
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
Subject AreaGeology ; Agriculture ; Water Resources
DOI10.1016/j.catena.2018.01.011
Indexed BySCI
Publication PlacePO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Language英语
WOS IDWOS:000430031800010
PublisherELSEVIER SCIENCE BV
Funding OrganizationNational Natural Science Foundation of China [41571130081, 41371242, 41530854] ; National Natural Science Foundation of China [41571130081, 41371242, 41530854] ; National Key Research and Development Program of China [2016YFC0501706-03] ; National Key Research and Development Program of China [2016YFC0501706-03]
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.iswc.ac.cn/handle/361005/8260
Collection水保所科研产出--SCI_2018--SCI
Corresponding AuthorZhu, YJ (reprint author), Northwest A&F Univ, State Key Lab Soil Eros & Dryland Agr Loess Plate, Yangling 712100, Peoples R China.
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
5., Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Jiangbo Qiao,Yuanjun Zhu,Xiaoxu Jia,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 Jiangbo Qiao,Yuanjun Zhu,Xiaoxu Jia,Laiming Huang,Ming'an Shao,&Zhu, YJ .(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 Jiangbo Qiao,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.
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