Journal
ENVIRONMENTAL MODELLING & SOFTWARE
Volume 62, Issue -, Pages 97-111Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2014.08.018
Keywords
EPIC model; Soil phosphorus; Model calibration; Sensitivity analysis; Uncertainty; Soil monitoring; Bioturbation
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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. (C) 2014 Elsevier Ltd. All rights reserved.
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