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An unprecedented fall drought drives Dust Bowl-like losses associated with La Niña events in US wheat production.

Lina ZhangHaidong ZhaoNenghan WanGuihua BaiM B KirkhamJohn W Nielsen-GammonThomas J AvensonRomulo Pisa LollatoVaishali ShardaAmanda J AshworthPrasanna H GowdaXiaomao Lin
Published in: Science advances (2024)
Unprecedented precipitation deficits in the 2022-2023 growing season across the primary wheat-producing region in the United States caused delays in winter wheat emergence and poor crop growth. Using an integrated approach, we quantitatively unraveled a 37% reduction in wheat production as being attributable to both per-harvested acre yield loss and severe crop abandonment, reminiscent of the Dust Bowl years in the 1930s. We used random forest machine learning and game theory analytics to show that the main driver of yield loss was spring drought, whereas fall drought dominated abandonment rates. Furthermore, results revealed, across the US winter wheat belt, the La Niña phase of the El Niño Southern Oscillation (ENSO), increased abandonment rates compared to the El Niño phase. These findings underscore the necessity of simultaneously addressing crop abandonment and yield decline to stabilize wheat production amid extreme climatic conditions and provide a holistic understanding of global-scale ENSO dynamics on wheat production.
Keyphrases
  • climate change
  • machine learning
  • human health
  • traumatic brain injury
  • heat stress
  • big data
  • high frequency
  • health risk
  • early onset
  • transition metal
  • plant growth
  • heavy metals