ArticleNPJ climate and atmospheric science2023
Potential for surprising heat and drought events in wheat-producing regions of USA and China.
Article in NPJ climate and atmospheric science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 35 citations in OpenAlex.
- Famine risk under climate change: assessing the impact on local food production and the potential role of adaptation strategies.Journal of public health policy · 2026Article
- Unseen but increasing: recent changes in risk of extreme precipitation over Southern Africa and Southeast Asia.Weather and climate extremes · 2026Article
- Wild relatives to improve heat tolerance of cultivated quinoa (Chenopodium quinoa): pollen viability and grain number.Journal of experimental botany · 2025Article
- Grain under pressure: Harnessing biochemical pathways to beat drought and heat in wheat.The Plant journal : for cell and molecular biology · 2025Review
- A comprehensive map of DNA-segment copy number variation in 491 genomes of common wheat uncovers genes associated with multiple agronomic traits.Plant communications · 2025Article
- How to stop being surprised by unprecedented weather.Nature communications · 2025Review
- Stomatal opening under high temperatures is controlled by the OST1-regulated TOT3-AHA1 module.Nature plants · 2025Article
- Low molecular weight carbohydrates and abiotic stress tolerance in lentil (Frontiers in plant science · 2024Review
- Storylines for unprecedented heatwaves based on ensemble boosting.Nature communications · 2023Review
- When drought meets heat - a plant omics perspective.Frontiers in plant science · 2023Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous analyses of the possibility of global breadbasket failures have extrapolated risks based on historical relationships between climate and yields. However, climate change is causing unprecedented events globally, which could exceed critical thresholds and reduce yields, even if there is no historical precedent. This means that we are likely underestimating climate risks to our food system. In the case of wheat, parts of the USA and China show little historical relationship between yields and temperature, but extreme temperatures are now possible that exceed critical physiological thresholds in wheat plants. UNprecedented Simulated Extreme ENsemble (UNSEEN) approaches use large ensembles to generate plausible unprecedented events, which can inform our assessment of the risk to crops. We use the UNSEEN approach with a large ensemble of archived seasonal forecasts to generate thousands of plausible events over the last 40 years and compare the results with historically observed extreme temperature and precipitation. In the US midwest, extreme temperatures that would have happened approximately 1-in-100-years in 1981 now have a return period of 1-in-6 years, while in China, the current return period is on the order of 1-in-16 years. This means that in the US midwest, extreme temperatures that used to have a 1% chance to occur in 1981 now have a 17% chance to occur in any given year, while in China, the chance increased from 1% to 6%. Record-breaking years exceeding critical thresholds for enzymes in the wheat plant are now more likely than in the past, and these record-breaking hot years are associated with extremely dry conditions in both locations. Using geopotential height and wind anomalies from the UNSEEN ensemble, we demonstrate that strong winds over land pull dry air towards the regions these during extremely hot and dry unseen events. We characterize plausible extremes from the UNSEEN ensemble that can be used to help imagine otherwise unforeseen events, including a compound event in which high impacts co-occur in both regions, informing adaptation planning in these regions. Recent temperature extremes, especially in the US midwest, are unlikely to be a good proxy for what to expect in the next few years of today's climate, and local stakeholders might perceive their risk to be lower than it really is. We find that there is a high potential for surprise in these regions if people base risk analyses solely on historical datasets.
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