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.