Sensitivity and uncertainty analysis for predicted soil test phosphorus using the Annual Phosphorus Loss Estimator model

• Published in: Journal of environmental quality 2022-03, Vol.51 (2), p.216-227
• Main Authors: Bolster, Carl H., Wessel, Barret M., Vadas, Peter A., Fiorellino, Nicole M.
• Format: Article
• Language: English
• Subjects: Fertilizers; Manure; Phosphorus; Soil; Uncertainty
• ISSN: 0047-2425; 1537-2537
• DOI: 10.1002/jeq2.20328

In this study we conducted a sensitivity and uncertainty analysis using the Annual P Loss Estimator (APLE) model focusing on model predictions of soil test phosphorus (STP). We calculated and evaluated the sensitivity coefficients of predicted STP and changes in STP using 1‐ and 10‐yr simulations with and without P application. We also compared two methods for estimating prediction uncertainties: first‐order variance approximation (FOVA) and Monte Carlo simulation (MCS). Finally, we compared uncertainties in APLE‐predicted STP with uncertainties in measured STP collected from multiple sites in Maryland under different manuring and cropping treatments. Results from our sensitivity analysis showed that predicted STP and changes in STP for 1‐yr simulations without P inputs were most sensitive to initial STP, whereas model STP predictions were most sensitive to manure and fertilizer application rates when sensitivity analyses included P inputs. For the 10‐yr simulations without P application inputs, the range in sensitivity coefficients for crop uptake and precipitation were much greater than for the 1‐yr simulations. Prediction uncertainties from FOVA were comparable to those from MCS for model input uncertainties up to 50%. Using FOVA to calculate APLE STP prediction uncertainties using the Maryland data set, the mean measured STP for nearly all site years fell within the 95% confidence intervals of the STP prediction uncertainties. Our results provide users of APLE insight into what model inputs require the most careful measurement when using the model to predict changes in STP under conditions of P drawdown (i.e., no P application) or P buildup. Core Ideas Initial soil test phosporus (STP) is most important input in predicting STP when P application is not modeled. Fertilizer and manure rates are most important inputs when predicting STP following P application. First‐order variance approximation is an appropriate method to estimate prediction uncertainties in STP with APLE. Prediction uncertainties generally overlap measured STP across treatments.