Comparison of Three Modelling Approaches to Simulate Regional Crop Yield: A Case Study of Winter Wheat Yield in Western Germany
محل انتشار: مجله علوم و فناوری کشاورزی، دوره: 18، شماره: 1
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 61
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شناسه ملی سند علمی:
JR_JASTMO-18-1_016
تاریخ نمایه سازی: 1 آذر 1402
چکیده مقاله:
The need for more comparisons among models is widely recognized. This study aimed to compare three different modelling approaches for their capability to simulate and predict trends and patterns of winter wheat yield in Western Germany. The three modelling approaches included an empirical model, a process-based model (LINTUL۲), and a metamodel derived from the process-based model. The models outcomes were aggregated to general climate zones level of Western Germany to allow for a comparison with agricultural census data for validation purposes. The spatial patterns and temporal trends of winter wheat yield seemed to be better represented by the empirical model (R۲= ۷۰%, RMSE= ۰.۴۸ t ha-۱ yr-۱, and CV-RMSE= ۸%) than by the LINTUL۲ model (R۲= ۶۵%, RMSE= ۰.۶۷ t ha-۱ yr-۱, and CV-RMSE=۱۱%) and the metamodel (R۲= ۵۷%, RMSE= ۰.۷۷ t ha-۱ yr-۱, and CV-RMSE=۱۳%). All models demonstrated a similar order of magnitude of yield prediction and associated uncertainties. The suitability of the three models is context dependent. Empirical modelling is most suitable to analyze and project past and current crop-yield patterns, while crop growth simulation models are more suited for future projections with climate scenarios. The derived metamodels are fast reliable alternatives for areas with well calibrated crop growth simulation models. A model comparison helps to reveal shortcomings and strengths of the models. In our case, a performance comparison between the three modelling approaches indicated that, for simulating winter wheat growth in Western Germany, higher sensitivity to soil depth and lower sensitivity to drought in the LINTUL۲ model would probably lead to better predictions.
کلیدواژه ها:
نویسندگان
A. Soltani
Soil Geography and Landscape Group, Wageningen University, P. O. ۴۷, ۶۷۰۰ AA Wageningen, The Netherlands.
M. Bakker
Land Use Planning Group, Wageningen University, P. O. ۴۷, ۶۷۰۰ AA Wageningen, The Netherlands.
A. Veldkamp
Geo-Information Science and Earth Observation Faculty (ITC), University of Twente, P.O. Box ۲۱۷, ۷۵۰۰ AE Enschede, The Netherlands.
J. Stoorvogel
Soil Geography and Landscape Group, Wageningen University, P. O. ۴۷, ۶۷۰۰ AA Wageningen, The Netherlands.
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