Abstract:A physical process-based model(CoupModel) was applied to simulate daily soil moisture and temperature of broadleaved fore(Schima superhaLithocarpus glaher)and coniferous fores(Cunninghamia Lanceolata X Pinus massoniana)in Simian Mountain,which located in the Three Uorges Reservoir area.Then,the OAT method(one factor at a time) was adopted to analyze sensitivities of the model parameters.The validation results showed that CoupModel could fairly simulate the dynamic changes of soil moisture and temperature.Determination coefficient(R2),mean error(ME),root mean square error(RMSE),and Nashsutcliffe efficiency coefficient(NSE) of soil moisture were 0.81-0.94,-0.O1%-0.26%,0.24%-1. 83%and 0.80-0.87 respectively, while they were 0.92-0.99,-0.14-0.06℃,0.18-0.34℃,and 0.90-0.98 for soil temperature.It meant that the model had a good applicability in this region.The results of the sensitivity analysis indicated that,many parameters had great influence on the simulation of soil moisture,such as lambda,air entry,residual water,saturation,matrix conductivity and PsiRs-lp.While scaling coefficient,organic layer thick,plant albedo,light extinction coefficient,cond VPD and PsiRs-lp impacted on simulation of soil temperature.