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Stratified Data Reconstruction and Spatial Pattern Analyses of Soil Bulk Density in the Northern Grasslands of China

文献类型：期刊论文

作者Qiao, Yuxin1,2; Zhu, Huazhong2,3; Zhong, Huaping1; Li, Yuzhe1
刊名ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
出版日期2020-11-01
卷号9期号:11页码:16
关键词Soil bulk density grassland spatial pattern analysis pedotransfer function stratified soil
DOI10.3390/ijgi9110682
通讯作者Li, Yuzhe(liyuzhe@igsnrr.ac.cn)
英文摘要The spatial pattern of soil bulk density in the grasslands of northern China largely remains undefined, which raised uncertainty in understanding and modeling various soil processes in large spatial scale. Based on the measured data of soil bulk density available from soil survey reports from the grasslands of northern China, we constructed a soil Stratified Pedotransfer function (SPTF) from the surface soil bulk density. Accordingly, the stratified bulk density data of soil vertical profile was reconstructed, and the estimation of soil bulk density data in horizontal space was performed. The results demonstrated that the soil bulk density of the grasslands of northern China was typically high in the central and northwestern regions and low in the eastern and mountainous regions. Mean soil bulk density of the grasslands was 1.52 g center dot cm(-3). According to geographical divisions, the highest soil bulk density was observed in the Tarim basin, with mean soil bulk density of 1.91 g center dot cm(-3). Conversely, the lowest soil bulk density was observed in the Tianshan Mountain area, with mean soil bulk density of 1.01 g center dot cm(-3). Based on data obtained on various types of grasslands, the soil bulk density of alpine meadow was the lowest, with a mean soil bulk density of 0.75 g center dot cm(-3), whereas that of temperate desert was the highest, with mean soil bulk density of 1.80 g center dot cm(-3). Mean prediction error, root mean square deviation, relative error, and multiple correlation coefficient of soil bulk density data pertaining to surface layer (0-10 cm) in the grasslands of northern China were 0.018, 0.223, 16.2%, and 0.5386, respectively. The approach of employing multiple data sources via soil transfer function improved the estimation accuracy of soil bulk density from stratified soils data at the large scale. Our study would promote the accurate assessment of grassland carbon storage and fine land characteristics mapping.
WOS关键词WATER RETENTION CHARACTERISTICS ; PEDOTRANSFER FUNCTIONS ; ORGANIC-MATTER ; CARBON ; PREDICTION ; QUALITY ; STOCKS ; MASS
资助项目National Science and Technology Foundation[2011FY110400-3] ; National Science and Technology Foundation[2012FY111900-2] ; National Science and Technology Infrastructure Platform-Earth System Scientific Data Sharing Platform[2005DKA32300] ; Natural Sciences Foundation of China[41971276] ; [2013FY110900]
WOS研究方向Physical Geography ; Remote Sensing
语种英语
出版者MDPI
WOS记录号WOS:000593248100001
资助机构National Science and Technology Foundation ; National Science and Technology Infrastructure Platform-Earth System Scientific Data Sharing Platform ; Natural Sciences Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/156371]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Yuzhe
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
推荐引用方式
GB/T 7714		 Qiao, Yuxin,Zhu, Huazhong,Zhong, Huaping,et al. Stratified Data Reconstruction and Spatial Pattern Analyses of Soil Bulk Density in the Northern Grasslands of China[J]. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,2020,9(11):16.
APA Qiao, Yuxin,Zhu, Huazhong,Zhong, Huaping,&Li, Yuzhe.(2020).Stratified Data Reconstruction and Spatial Pattern Analyses of Soil Bulk Density in the Northern Grasslands of China.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(11),16.
MLA Qiao, Yuxin,et al."Stratified Data Reconstruction and Spatial Pattern Analyses of Soil Bulk Density in the Northern Grasslands of China".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.11(2020):16.

入库方式： OAI收割

来源：地理科学与资源研究所

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