干旱区生态环境知识资源中心(Arid): Stratified Data Reconstruction and Spatial Pattern Analyses of Soil Bulk Density in the Northern Grasslands of China

Arid

DOI	10.3390/ijgi9110682
	Stratified Data Reconstruction and Spatial Pattern Analyses of Soil Bulk Density in the Northern Grasslands of China
	Qiao, Yuxin; Zhu, Huazhong; Zhong, Huaping; Li, Yuzhe
通讯作者	Li, YZ
来源期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
EISSN	2220-9964
出版年	2020
卷号	9 期号:11
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.
英文关键词	Soil bulk density grassland spatial pattern analysis pedotransfer function stratified soil
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000593248100001
WOS关键词	WATER RETENTION CHARACTERISTICS ; PEDOTRANSFER FUNCTIONS ; ORGANIC-MATTER ; CARBON ; PREDICTION ; QUALITY ; STOCKS ; MASS
WOS类目	Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/327693
作者单位	[Qiao, Yuxin; Zhong, Huaping; Li, Yuzhe] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; [Qiao, Yuxin; Zhu, Huazhong] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China; [Zhu, Huazhong] 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]. 中国科学院地理科学与资源研究所,2020,9(11).
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).
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).