I have been working with the Crop Production-Percentile model to measure crop production and derived nutrition in a region in Central Mexico (Toluca). I was comparing the output results from InVEST with existing production data in this area and I realized that corn is very underestimated. The model calculated a total production of approx. 56,000 tons for maize, while the actual production data is approx. half a million (even for the year 2000). I realized this mismatch since my observed production was not even 7% of the 25th percentile.
I know the data comes from FAO. However, is there a way to fix this underestimation? Do you know what might be causing this? Thank you very much!