Research progress and prospects on soil erodibility
TIAN Pei1,2, LIU Jiaxin1,2, QU Lili3
(1.Key Laboratory for Geographical Process Analysis & Simulation Hubei Province, Central China Normal University, Wuhan 430079, China;2.College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;3.State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 211135, China)
Abstract:Soil erodibility (K) is used to characterize the sensitivity of soil to external erosive forces, and is an important indicator for understanding soil erosion mechanisms and constructing erosion models. Accurate acquisition of K factor values and algorithm optimization are key to improving soil erosion models. This article summarizes the relevant research progress at home and abroad from five aspects: the concept of soil erodibility, evaluation indicators, measurement methods, spatio-temporal variability, and uncertainty of predicted values, and offers some research prospects. Overall, research on soil erodibility at the small watershed scale has achieved rich results, providing strong support for soil erosion modeling and soil and water conservation practices. Further research should be conducted on how to convert K values obtained from non-standard residential areas into data under standard residential conditions, in order to form a unified K value database and provide support for the construction of large-scale regional erosion models. We should strengthen the organic combination of tracing, remote sensing, digital mapping technology and soil erodibility research, and focus on breaking through bottlenecks such as nuclide background value determination and vegetation factor interference. We should also carry out further quantitative research on soil erodibility based on deep learning and digital mapping, and realize the application of new methods and technologies in the field of soil erodibility. In addition, due to human activities and climate change, further research is needed on the spatial variability and uncertainty of soil erodibility predictions to improve the accuracy of soil erosion forecasting and provide support for strengthening spatial control of soil and water conservation.