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A SWAT model of the upper Paraná River basin in Brazil was constructed to test its applicability in largescale watershed. The sensitivity parameters of the model were analyzed. Then the model was calibrated and validated using 17 runoff stations. The results show that the soil evaporation compensation coefficient (ESCO) and the SCS runoff curve number (CN2) are the most sensitive parameters for the sub-basins with a high density of rain gauged stations, the model could simulate the discharge well after calibration, and the R2 values of 11 stations among 17 calibration stations were greater than 0.5; Affected by factors such as insufficient precipitation data and changes in land use, the model in validation period did not perform as well as in the calibration period. Thus, the SWAT model could be used as an effective tool for large-scale watersheds, but the simulation accuracy largely depends on the quality of precipitation data.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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