Sensitivity analysis,calibration and validation of EPIC for modelling soil phosphorus dynamics in Swiss agro-ecosystems |
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| Affiliation: | 1. IT4Innovations, V?B – Technical University of Ostrava 17. listopadu 15/2172, Ostrava-Poruba 708 33, Czech Republic;2. Dept. of Applied Mathematics, V?B – Technical University of Ostrava 17. listopadu 15/2172, Ostrava-Poruba 708 33, Czech Republic;1. Assistant Professor, Department of Bioresource Engineering, McGill University, Sanite-Anne-de-Bellevue, QC H9X 3V9, Canada;2. Plant Physiologist, US Department of Agriculture (USDA)-ARS Rangeland Resources Research Unit, Crops Research Laboratory, Fort Collins, CO 80526, USA;3. Research Agronomist USDA-ARS Agricultural Systems Research Unit, Fort Collins, CO 80526, USA;4. Research Leader, USDA-ARS Agricultural Systems Research Unit, Fort Collins, CO 80526, USA;5. Research Leader, USDA-ARS Rangeland Resources Research Unit, High Plains Grasslands Research Station, Cheyenne, WY 82009, USA |
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| Abstract: | Proper management of soil phosphorus (P) is essential to ensure sustainability in agriculture. To avoid excessive P accumulation in soil, a methodology for predicting long-term variations in soil P content is required. Using the Swiss Soil Monitoring Network (NABO) database, we tested the efficiency of the model EPIC to predict soil P temporal changes for typical Swiss arable and grassland sites. After performing a sensitivity analysis to identify the most influential model parameters for which calibration was needed, we calibrated the influential parameters on the available topsoil P data of 4 selected NABO sites and then we tested the calibrated model by comparison of predictions with data from a second set of 14 sites. We found that the model performance for grassland sites improved significantly when site-specific estimates of bioturbation depth were used. These site-specific estimates showed a close relationship to independently assessed subsoil hydromorphy. |
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| Keywords: | EPIC model Soil phosphorus Model calibration Sensitivity analysis Uncertainty Soil monitoring Bioturbation |
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