T
T
T
Treesearch

Review of nitrogen fate models applicable to forest landscapes in the Southern U.S.

Formally Refereed
Download (PDF 2.20 MB): https://research.fs.usda.gov/download/treesearch/45258.pdf

Abstract

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 of five commonly used eco-hydrologic models (APEX, MIKESHE-DNDC, DRAINMOD- FOREST, REMM, and SWAT) in assessing N fate and transport in southern forest landscapes (50 km²), although N routing below the subbasin level does not yet exist. Similarly, the distributed MIKESHE-DNDC model has been used to assess N cycles across different spatial scales, on both uplands and lowlands, but was not intended to model lateral N transport. However, MIKESHE alone is capable of describing the hydrology and N transport. The strengths of each of the models reflect their original design and scope intent. Based on this review, none of the five models that we considered is independently adequate to address the fate of N fertilizers applied to forest stands at both small and large scales, including uplands and lowlands. While efforts are underway to extend these tools’ capabilities and address their various limitations, the models must be validated using experimental data before using their outputs, together with uncertainty analysis, for developing forest fertilization guidelines and the fate and transport of N.

Citation

Amatya, D. M.; Rossi, C. G.; Saleh, A.; Dai, Z.; Youssef, M. A.; Williams, R. G.; Bosch, D. D.; Chescheir, G. M.; Sun, G.; Skaggs, R. W.; Trettin, C. C.; Vance, E. D.; Nettles, J. E.; Tian, S. 2013. Review of nitrogen fate models applicable to forest landscapes in the Southern U.S. American Society of Agricultural and Biological Engineers 56(5):1731-1757.