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Using the X-ray computed tomography method to predict the saturated hydraulic conductivity of the upper root zone in the Loess Plateau in China
Li, Tongchuan1; Shao, Ming'an1,2; Jia, Yuhua3; Jia, Xiaoxu1,2; Huang, Laiming1,2
2018-09-01
Source PublicationSOIL SCIENCE SOCIETY OF AMERICA JOURNAL
ISSN0361-5995
Volume82Issue:5Pages:1085-1092
Corresponding AuthorShao, Ming'an(mashao@ms.iswc.ac.cn)
AbstractThe recovery of natural vegetation significantly improves soil macroporosity through root decay and biological activity. Macropores are preferential pathways for the movement of water to deep soil. However, the quantification of soil macropore structure and its relationship with soil hydraulic conductivity (K-sat) are not well understood. We characterized the macropores under different vegetation types to evaluate the effects of macropores on K-sat. Undisturbed soil cores were collected from four treatments: areas dominated by Quercus liaotungensis Koidz.(QLI), Pinus tabuliformis Carriere (PTA), Caragana korshinskii Kom. (CKO), and Medicago sativa L.(MSA). A medical computed tomography (CT) scanner was used to acquire images with a voxel size of 0.977 by 0.977 by 1.000 mm for depths of 0 to 360 mm. We used ImageJ software to quantify the macropore properties. Soil structure and K-sat improved with the succession of vegetation. The mean macropore volume fraction across the soil cores for the QLI, PTA, CKO, and MSA treatments were 6.6, 3.5, 1.3, and 0.6% within a 4900-mm(2) area, respectively. Macropore quantity (volume fraction and number) had a higher R-2 for predicting K-sat than macropore morphology (branch density, connectivity density, and junction density). Moreover, the grayscale values were negatively correlated with K-sat and accounted for 78.8% of the variation in K-sat. Grayscale values, volume fraction, and the number of macropores were the best combination of CT-measured parameters for predicting K-sat, accounting for 81.9% of the variation in K-sat. The CT-measured parameters could be used to estimate K-sat in the upper root zone in the Loess Plateau.
DOI10.2136/sssaj2017.08.0268
WOS KeywordPREFERENTIAL FLOW ; SOIL-STRUCTURE ; IMAGE-ANALYSIS ; PORE CHARACTERISTICS ; MACROPOROSITY ; GRASS ; WATER ; AGROFORESTRY ; PARAMETERS ; CT
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41571130081] ; National Natural Science Foundation of China[41390463] ; National Natural Science Foundation of China[41601221]
Funding OrganizationNational Natural Science Foundation of China
WOS Research AreaAgriculture
WOS SubjectSoil Science
WOS IDWOS:000446667000008
PublisherSOIL SCI SOC AMER
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/52710
Collection中国科学院地理科学与资源研究所
Corresponding AuthorShao, Ming'an
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
3.Shenyang Agr Univ, Coll Water Conservancy, Shenyang 110866, Liaoning, Peoples R China
Recommended Citation
GB/T 7714
Li, Tongchuan,Shao, Ming'an,Jia, Yuhua,et al. Using the X-ray computed tomography method to predict the saturated hydraulic conductivity of the upper root zone in the Loess Plateau in China[J]. SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,2018,82(5):1085-1092.
APA Li, Tongchuan,Shao, Ming'an,Jia, Yuhua,Jia, Xiaoxu,&Huang, Laiming.(2018).Using the X-ray computed tomography method to predict the saturated hydraulic conductivity of the upper root zone in the Loess Plateau in China.SOIL SCIENCE SOCIETY OF AMERICA JOURNAL,82(5),1085-1092.
MLA Li, Tongchuan,et al."Using the X-ray computed tomography method to predict the saturated hydraulic conductivity of the upper root zone in the Loess Plateau in China".SOIL SCIENCE SOCIETY OF AMERICA JOURNAL 82.5(2018):1085-1092.
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