DOI: 10.1002/2013MS000293
Scopus记录号: 2-s2.0-84899088336
论文题名: A global soil data set for earth system modeling
作者: Shangguan W ; , Dai Y ; , Duan Q ; , Liu B ; , Yuan H
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2014
卷: 6, 期: 1 起始页码: 249
结束页码: 263
语种: 英语
英文关键词: Aggregates
; Data processing
; Mapping
; Earth system model
; Horizontal resolution
; Legacy soil datum
; National soil database
; Processing procedures
; Soil data
; Soil mapping
; Soil organic Carbon stocks
; Soils
; bulk density
; data set
; organic carbon
; organic soil
; particle size
; quality control
; size distribution
; soil classification
; soil nutrient
; soil type
; spatial distribution
英文摘要: We developed a comprehensive, gridded Global Soil Dataset for use in Earth System Models (GSDE) and other applications. The GSDE provides soil information, such as soil particle-size distribution, organic carbon, and nutrients, and quality control information in terms of confidence level at 30″ × 30″ horizontal resolution and for eight vertical layers to a depth of 2.3 m. The GSDE is based on the Soil Map of the World and various regional and national soil databases, including soil attribute data and soil maps. We used a standardized data structure and data processing procedures to harmonize the data collected from various sources. We then used a soil type linkage method (i.e., taxotransfer rules) and a polygon linkage method to derive the spatial distribution of the soil properties. To aggregate the attributes of different compositions of a mapping unit, we used three mapping approaches: the area-weighting method, the dominant soil type method, and the dominant binned soil attribute method. The data set can also be aggregated to a lower resolution. In this paper, we only show the vertical and horizontal variations of sand, silt and clay contents, bulk density, and soil organic carbon as examples of the GSDE. The GSDE estimates of global soil organic carbon stock to the depths of 2.3, 1, and 0.3 m are 1922.7, 1455.4, and 720.1 Gt, respectively. This newly developed data set provides more accurate soil information and represents a step forward to advance earth system modeling. Key Points A global soil data set was developed for earth system modeling Various data sources were harmonized using consistent processes Examples of the data set were given show the vertical and horizontal variations © 2014. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/76087
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; School of Geography, Beijing Normal University, Beijing, China
Recommended Citation:
Shangguan W,, Dai Y,, Duan Q,et al. A global soil data set for earth system modeling[J]. Journal of Advances in Modeling Earth Systems,2014-01-01,6(1)