DOI: 10.1016/j.geoderma.2019.114061
论文题名: High-resolution and three-dimensional mapping of soil texture of China
作者: Liu F. ; Zhang G.-L. ; Song X. ; Li D. ; Zhao Y. ; Yang J. ; Wu H. ; Yang F.
刊名: Geoderma
ISSN: 167061
出版年: 2020
卷: 361 语种: 英语
英文关键词: Digital soil mapping
; Environmental factors
; Large extent
; Machine learning
; Uncertainty
Scopus关键词: Decision trees
; Erosion
; Forecasting
; Landforms
; Learning systems
; Mapping
; Screening
; Silt
; Textures
; Uncertainty analysis
; Weathering
; Digital soil mappings
; Environmental change
; Environmental factors
; Large extent
; Parallel com- puting
; Soil texture fractions
; Three dimensional mapping
; Uncertainty
; Soil surveys
; chemical weathering
; environmental factor
; machine learning
; mapping method
; soil texture
; soil-vegetation interaction
; spatial variation
; uncertainty analysis
; China
英文摘要: The lack of detailed three-dimensional soil texture information largely restricts many applications in agriculture, hydrology, climate, ecology and environment. This study predicted 90 m resolution spatial variations of sand, silt and clay contents at a national extent across China and at multiple depths 0–5, 5–15, 15–30, 30–60, 60–100 and 100–200 cm. We used 4579 soil profiles collected from a national soil series inventory conducted recently and currently available environmental covariates. The covariates characterized environmental factors including climate, parent materials, terrain, vegetation and soil conditions. We constructed random forest models and employed a parallel computing strategy for the predictions of soil texture fractions based on its relationship with the environmental factors. Quantile regression forest was used to estimate the uncertainty of the predictions. Results showed that the predicted maps were much more accurate and detailed than the conventional linkage maps and the SoilGrids250m product, and could well represent spatial variation of soil texture across China. The relative accuracy improvement was around 245–370% relative to the linkage maps and 83–112% relative to the SoilGrids250m product with regard to the R2, and it was around 24–26% and 14–19% respectively with regard to the RMSE. The wide range between 5% lower and 95% upper prediction limits may suggest that there was a substantial room to improve current predictions. Besides, we found that climate and terrain factors are major controllers for spatial patterns of soil texture in China. The heat and water-driven physical and chemical weathering and wind-driven erosion processes primarily shape the pattern of clay content. The terrain, wind and water-driven deposition, erosion and transportation sorting processes of soil particles primarily shape the pattern of silt. The findings provide clues for modeling future soil evolution and for national soil security management under the background of global and regional environmental changes. © 2019 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/159022
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, China; University of Chinese Academy of Sciences, Beijing, 100049, China
Recommended Citation:
Liu F.,Zhang G.-L.,Song X.,et al. High-resolution and three-dimensional mapping of soil texture of China[J]. Geoderma,2020-01-01,361