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Development of pedotransfer functions for predicting the bulk density in the critical zone on the Loess Plateau, China
Qiao, Jiangbo1; Zhu, Yuanjun2; Jia, Xiaoxu3; Huang, Laiming3; Shao, Ming'an2,3
2019
Source PublicationJOURNAL OF SOILS AND SEDIMENTS
ISSN1439-0108
Volume19Issue:1Pages:366-372
Corresponding AuthorZhu, Yuanjun(zhuyuanjun@foxmail.com)
AbstractPurposeThe bulk density (BD) is an important physical property of soil, which is used to estimate soil carbon/nutrient reserves, and it is an important parameter in various predictive and descriptive models. However, BD data are lacking due to the difficulty of measuring it directly. Pedotransfer function (PTF) may provide an alternative method for estimating BD indirectly based on easily measured soil properties. The Loess Plateau in China (620,000km(2)) has deep loess deposits (50-200m), which makes it difficult to obtain BD values for the deep soil layer, and thus, a PTF is needed for estimating BD.Materials and methodsIn this study, multiple linear regression (MLR) and artificial neural network (ANN) methods were used to develop BD PTFs for the deep layer of the Loess Plateau based on the soil organic carbon, texture, and depth. In total, 534 undisturbed soil cores were obtained by soil core drilling from five typical sites, ranging from the top of the soil profile to the bedrock.Results and discussionThe BD values all exhibited low variation (CV <10%). Pearson's correlation coefficient analysis showed that BD had significant correlations with the sand, silt, clay, soil organic carbon (SOC), and depth (P<0.01). The performance of MLR was similar to that of the ANN method. The soil depth and clay were also important input variables for the BD PTF. The PTF developed in this study performed better than existing BD PTFs.ConclusionsIn this study, we developed the first BD PTF for the deep layer (50-200m) of the Loess Plateau.
KeywordArtificial neuron network Bulk density Multiple linear regression Pedotransfer function
DOI10.1007/s11368-018-2040-1
WOS KeywordSOIL HYDRAULIC-PROPERTIES ; REGRESSION ; QUALITY ; REGION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China for a major international cooperation program between China and England[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 for a major international cooperation program between China and England ; National Natural Science Foundation of China ; National Key Research and Development Program of China
WOS Research AreaEnvironmental Sciences & Ecology ; Agriculture
WOS SubjectEnvironmental Sciences ; Soil Science
WOS IDWOS:000456207800034
PublisherSPRINGER HEIDELBERG
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/50498
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, Shaanxi, Peoples R China
2.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Agr Loess Plate, Yangling 712100, Shaanxi, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Qiao, Jiangbo,Zhu, Yuanjun,Jia, Xiaoxu,et al. Development of pedotransfer functions for predicting the bulk density in the critical zone on the Loess Plateau, China[J]. JOURNAL OF SOILS AND SEDIMENTS,2019,19(1):366-372.
APA Qiao, Jiangbo,Zhu, Yuanjun,Jia, Xiaoxu,Huang, Laiming,&Shao, Ming'an.(2019).Development of pedotransfer functions for predicting the bulk density in the critical zone on the Loess Plateau, China.JOURNAL OF SOILS AND SEDIMENTS,19(1),366-372.
MLA Qiao, Jiangbo,et al."Development of pedotransfer functions for predicting the bulk density in the critical zone on the Loess Plateau, China".JOURNAL OF SOILS AND SEDIMENTS 19.1(2019):366-372.
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