作者: Donna Giltrap , Jagadeesh Yeluripati , Pete Smith , Nuala Fitton , Ward Smith
DOI: 10.1002/JEQ2.20119
关键词:
摘要: Measurements of nitrous oxide (N2 O) emissions from agriculture are essential for understanding the complex soil-crop-climate processes, but there practical and economic limits to spatial temporal extent over which measurements can be made. Therefore, N2 O models have an important role play. As comparatively cheap run, they used extrapolate field regional or national scales, simulate long time periods, run scenarios compare mitigation practices. Process-based also as aid underlying feedbacks interactions that difficult distinguish in field. However, when applying models, it is understand conceptual process differences how changed various model requirements limitations ensure well suited purpose investigation type system being simulated. The aim this paper give reader a high-level overview some issues should considered modeling. This includes widely common modeling techniques such calibration validation, assessing fit, sensitivity analysis, uncertainty assessment. We review examples different purposes describe three commonly process-based (APSIM, DayCent, DNDC).