土壤学报2024，Vol.61Issue(2)：319-330,12.DOI:10.11766/trxb202207070374
土壤厚度演化模型理论方法研究进展
Modelling Soil Thickness Evolution:Advancements and Challenges
摘要
Abstract
Global soil thickness is only about 1 m.Its spatial distribution is nevertheless crucial in many hydrological and ecological processes,and it also determines hillslope stability and channel initiation in geomorphological fields.Due to its significant spatial heterogeneity,it is difficult to obtain the soil thickness distribution on a catchment scale based on existing soil survey databases,geophysical investigations,or empirical models.Therefore,it is urgent to develop a process-based model for soil thickness prediction.In this study,methodologies and theories were comprehensively reviewed,and the applicability of different soil production and soil transport models were evaluated.This study pointed out that the mechanism of soil production by chemical weathering is still unclear and is a theoretical bottleneck restricting the development of soil thickness evolution models.Moreover,the methodology of the model still needs to be further developed,and it is urgent to develop and improve the parameter estimation methods and the adoption of equation forms for describing soil production and soil transport in such models upon applications.From our analysis,we inferred that a hybrid model combining stochastic and process-based models as well as mathematical physically-based methods for determining parameters may help solve many difficulties faced in model applications.Finally,we discussed the possible integration of soil thickness evolution models and soil pedogenesis models based on the theoretical frame of catchment coevolution for predicting soil thickness,texture,layering and organic carbon content variation in the landscape.关键词
土壤厚度/土壤厚度演化模型/土壤生成/土壤输移/流域协同演化Key words
Soil thickness/Soil thickness evolution model/Soil production/Soil transport/Catchment coevolution分类
农业科技引用本文复制引用
刘金涛,赵薇,刘彧..土壤厚度演化模型理论方法研究进展[J].土壤学报,2024,61(2):319-330,12.基金项目
国家自然科学基金项目(92047301)和国家重点实验室自主研究课题(522012242)资助 Supported by the National Natural Science Foundation of China(No.92047301)and State Key Laboratory Independent Research Project of China(No.522012242) （92047301）
