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
刊名JOURNAL OF SOILS AND SEDIMENTS
2019
卷号19期号:1页码:366-372
关键词Artificial neuron network Bulk density Multiple linear regression Pedotransfer function
ISSN号1439-0108
DOI10.1007/s11368-018-2040-1
通讯作者Zhu, Yuanjun(zhuyuanjun@foxmail.com)
英文摘要PurposeThe 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.
资助项目National 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]
WOS关键词SOIL HYDRAULIC-PROPERTIES ; REGRESSION ; QUALITY ; REGION
WOS研究方向Environmental Sciences & Ecology ; Agriculture
语种英语
出版者SPRINGER HEIDELBERG
WOS记录号WOS:000456207800034
资助机构National 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
内容类型期刊论文
源URL[http://ir.igsnrr.ac.cn/handle/311030/50497]  
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, 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
推荐引用方式
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.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace