RegionalPatterns of Maize Productivity in the North Central Region and theDevelopment of a Framework for Modeling

Gage, S.H., M. Colunga-G, J. Helly, and G.R. Safir

Presented at the ASM at Snowbird (2000-08-02 to 2017-12-05 )

Agricultural ecosystems with their impacts in both biophysical and socio-economics systems are one of the main examples of humans impact on the Biosphere. The drivers and impacts of agroecosystems change with the scale of the analysis. A regional scale analysis requires an equivalent expansion in the scope of the temporal scale. Long-term analysis is achieved by the integration of historical data and modeling. Our research objectives include the analysis of historical maize productivity patterns in the North Central Region and development of the ability to explore future scenarios using a modeling and analysis framework.We have integrated a relational database containing county maize yield for the 1055 counties in the region represented by the KBS-LTER from 1972-1999, and daily weather information from 1972-1995. We are in the process of evaluating the regional variability of maize productivity in the context of historical climatic fluctuations. To facilitate this analysis of the analysis of future scenarios we have integrated a physiological corn model into a modeling applications system framework interface. This interface allows for data management and visualization of model inputs/outputs and facilitates the use of GIS and statistical analysis. In addition it allows the integration of satellite imagery as a means to achieve real-time model calibration.

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