DRAINMOD‐FOREST: Integrated Modeling of Hydrology, Soil Carbon and Nitrogen Dynamics, and Plant Growth for Drained Forests

• Published in: Journal of environmental quality 2012-05, Vol.41 (3), p.764-782
• Main Authors: Tian, Shiying, Youssef, Mohamed A., Skaggs, R. Wayne, Amatya, Devendra M., Chescheir, G. M.
• Format: Article
• Language: English
• Subjects: Air temperature; Carbon; Carbon - chemistry; Computer Simulation; Ecosystem; Ecosystem models; Forest ecosystems; Forest floor; Forest soils; Forestry; Hydrologic models; Hydrology; Models, Theoretical; Nitrogen; Nitrogen - chemistry; North Carolina; Organic matter; Pine trees; Pinus - growth & development; Plant growth; Plant Leaves - growth & development; Primary production; Reproducibility of Results; Silvicultural practices; Soil - chemistry; Soils; Time Factors; Trees - growth & development; Trees - physiology; Water deficit; Water Movements
• ISSN: 0047-2425; 1537-2537
• DOI: 10.2134/jeq2011.0388

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 from the 3‐PG model. The forest growth model estimates net primary production, C allocation, and litterfall using physiology‐based methods regulated by air temperature, water deficit, stand age, and soil N conditions. The performance of the newly developed DRAINMOD‐FOREST model was evaluated using a long‐term (21‐yr) data set collected from an artificially drained loblolly pine (Pinus taeda L.) plantation in eastern North Carolina, USA. Results indicated that the DRAINMOD‐FOREST accurately predicted annual, monthly, and daily drainage, as indicated by Nash–Sutcliffe coefficients of 0.93, 0.87, and 0.75, respectively. The model also predicted annual net primary productivity and dynamics of leaf area index reasonably well. Predicted temporal changes in the organic matter pool on the forest floor and in forest soil were reasonable compared to published literature. Both predicted annual and monthly nitrate export were in good agreement with field measurements, as indicated by Nash–Sutcliffe coefficients above 0.89 and 0.79 for annual and monthly predictions, respectively. This application of DRAINMOD‐FOREST demonstrated its capability for predicting hydrology and C and N dynamics in drained forests under limited silvicultural practices.