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.