Research advances in spatial variability of soil aggregate by using geostatistics
YE Luping, TAN Wenfeng, FANG Linchuan, ZHAO Wei
1. State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, 712100, Yangling, Shaanxi, China;
2. University of Chinese Academy of Sciences, 100049, Beijing, China;
3. Key Laboratory of Arable Land Conservation(Middle and Lower Reaches of Yangtze River), Ministry of Agriculture, Huazhong Agricultural University, 430070, Wuhan, China
Abstract:[Background] Soil aggregate is to soil what cell is to organism. They have profoundly impacts on soil fertility and plant growth, and play important roles in soil resistance to erosion, soil remediation, and global carbon cycling, etc. The aim of this review is to find out the main issues in current researches, and provide an outlook of the potential for GIS and geostatistics application in spatial variability of soil aggregate.[Methods] We collected all relevant literature for this review. Based on these references, we reviewed the current development of spatial variability of soil aggregates by using GIS and geostatistics, analyzed spatial quantification methods and scale effects, summarized the factors influencing the spatial variation of soil aggregate, and the modeling of spatial variability prediction of aggregate stability.[Results] Current researches about geostatistics have made some progress in the spatial variability of soil aggregate. However, due to the spatio-temporal variability of soil properties, climate, topography, vegetation and human activities, the relevant researches need to be further studied. 1) At different spatial scales, the contribution of soil properties, natural factors, and human activities to the spatial variability of aggregate stability are unclear. 2) Some studies have used remote sensing data, DEM and other readily available data for spatial prediction of aggregate stability. The low spatial resolution cannot reflect the spatial variation in detail. Therefore, it is necessary to further improve the resolution of remote sensing data and predict the spatial variability of aggregate stability with a higher precision.[Conclusions] Previous studies placed emphasis on the formation process and stabilization mechanisms of soil aggregates at micro-scale. However, these micro-scale analyses cannot fully reveal the roles and functions of soil aggregates in ecosystems due to the fact that the eco-role of soil aggregate is affected by a combination of factors, such as soil properties, natural environment, and human activities, etc. In addition, the spatial heterogeneity in the aggregate structure and stability raises the difficulty in deriving the spatial pattern of soil aggregates with traditional classical statistics under real conditions, which makes geostatistics gradually be introduced in soil aggregates analysis. A large number of new methods and the continuous improvement of geostatistics are being applied to soil science. We should try to introduce the new analytical methods and models to analyze the spatial variability of soil aggregate. It is of great significance to study the formation process of aggregate, the influence factors of aggregate stability and the contribution of influence factors to aggregate stability, to understand the formation mechanism of aggregate, and to accurately explore the factors affecting the formation and stability of soil aggregate.
叶露萍1,2, 谭文峰1,3, 方临川1, 赵巍1. 基于地统计学的土壤团聚体空间变异研究进展[J]. 中国水土保持科学, 2019, 17(2): 146-153.
YE Luping, TAN Wenfeng, FANG Linchuan, ZHAO Wei. Research advances in spatial variability of soil aggregate by using geostatistics. SSWC, 2019, 17(2): 146-153.
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