We present a hybrid and stand-level forest ecosystem model, DRAINMOD-FOREST, for simulating the hydrology, carbon (C) and nitrogen (N) dynamics, and tree growth for drained forest lands under common silvicultural practices. The model was developed by linking DRAINMOD, the hydrological model, and DRAINMOD-N II, the soil C and N dynamics model, to a forest growth model, which was adapted mainly f...

This study was conducted to evaluate the performance of DRAINMOD /DRAINMOD-N on an experimental drainage field at Southeast Purdue Agricultural Center (SEPAC), based on the comparison between observed and predicted subsurface drain flows and nitrate-nitrogen losses via drainage. The site was under conventional drainage management, consisting of two replications of three tile drain spacings—5m, ...

The objective of this research is to control the nitrate-nitrogen concentration in surface water to 11.3 mg l (EU standards) and determine the exact nitrogen amount that has to be applied to achieve this limitation and calculate the corresponding plant uptake. The method used in this study is a combination between DRAINMOD-N model and Environmental Management for Agriculture (EMA), applying the...

Watershed scale hydrology and water quality models (DRAINMOD-DUFLOW, DRAINMODW, DRAINMOD-GIS and WATGIS) that describe the nitrogen loadings at the outlet of poorly drained watersheds were examined with respect to their accuracy and uncertainty in model predictions. Latin Hypercube Sampling (LHS) was applied to determine the impact of uncertainty in estimating field exports and decay coefficien...

The deterministic field scale model DRAINMOD was tested in an experiment on subsurface pipe drainage in the Veneto region, in an environment of NE Italy characterised by the presence of a shallow water table in a flat area. The objective was to determine whether a minimal set of field data would suffice to use DRAINMOD for predictive purposes. The measured water table depth and drain outflow fr...

Assessing the environmental impacts of fertilizer nitrogen (N) used to increase productivity in managed forests is complex due to a wide range of abiotic and biotic factors affecting its forms and movement. Models developed to predict fertilizer N fate (e.g., cycling processes) and water quality impacts vary widely in their design, scope, and potential application. We review the applicability o...

Global sensitivity analysis is a useful tool to understand process-based ecosystem models by identifying key parameters and processes controlling model predictions. This study reported a comprehensive global sensitivity analysis for DRAINMOD-FOREST, an integrated model for simulating water, carbon (C), and nitrogen (N) cycles and plant growth in lowland forests. The analysis was carried out for...