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Yield stability analysis reveals sources of large-scale nitrogen loss from the US Midwest.

Bruno BassoGuanyuan ShuaiJinshui ZhangG Philip Robertson
Published in: Scientific reports (2019)
Loss of reactive nitrogen (N) from agricultural fields in the U.S. Midwest is a principal cause of the persistent hypoxic zone in the Gulf of Mexico. We used eight years of high resolution satellite imagery, field boundaries, crop data layers, and yield stability classes to estimate the proportion of N fertilizer removed in harvest (NUE) versus left as surplus N in 8 million corn (Zea mays) fields at subfield resolutions of 30 × 30 m (0.09 ha) across 30 million ha of 10 Midwest states. On average, 26% of subfields in the region could be classified as stable low yield, 28% as unstable (low yield some years, high others), and 46% as stable high yield. NUE varied from 48% in stable low yield areas to 88% in stable high yield areas. We estimate regional average N losses of 1.12 (0.64-1.67) Tg N y-1 from stable and unstable low yield areas, corresponding to USD 485 (267-702) million dollars of fertilizer value, 79 (45-113) TJ of energy, and greenhouse gas emissions of 6.8 (3.4-10.1) MMT CO2 equivalents. Matching N fertilizer rates to crop yield stability classes could reduce regional reactive N losses substantially with no impact on crop yields, thereby enhancing the sustainability of corn-based cropping systems.
Keyphrases
  • big data
  • artificial intelligence
  • machine learning
  • climate change
  • high resolution
  • risk assessment
  • drinking water
  • heavy metals
  • human health