The application of modeling approaches such as crop growth simulation models, empirical models, and metamodels allow to assess a priori and/or future ranges of alternative scenarios of the regional yield patterns.
However, a structured, systematic way of modelling-approach selection is lacking. In order to address this issue, this thesis developed a framework for recommendable practices to model regional patterns of crop yield.
- Regional crop yield modelling is very sensitive to the choice of model-type and data used;
- The outcomes of such modelling exercises cannot be properly used when the underlying decisions on model and data type and sensitivities are unknown;
- Without this crucial knowledge regional crop simulation models can be easily misused by non-specialists;
- Standard decision rules are proposed to document these choices in a standard format allowing cross comparisons of different approaches despite the often strong context dependency of the results.