ArticleScientific reports2024
Mapping the race between crop phenology and climate risks for wheat in France under climate change.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Climate-adapted variety selection and optimal planting density for improving maize yield in the Guanzhong region, China.Journal of the science of food and agriculture · 2026Article
- Genomic forecasting for climate-resilient fruit trees.The New phytologist · 2026Review
- Impacts of climate change on land suitability of key crops in New Zealand.Scientific reports · 2026Article
- Extreme heat and drought at flowering could threaten global wheat yields under climate change.Climatic change · 2026Article
- Mapping stability and instability hotspots in Jiangsu's vegetation: an explainable machine learning approach to climatic and anthropogenic drivers.Frontiers in plant science · 2025Article
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate change threatens food security by affecting the productivity of major cereal crops. To date, agroclimatic risk projections through indicators have focused on expected hazards exposure during the crop's current vulnerable seasons, without considering the non-stationarity of their phenology under evolving climatic conditions. We propose a new method for spatially classifying agroclimatic risks for wheat, combining high-resolution climatic data with a wheat's phenological model. The method is implemented for French wheat involving three GCM-RCM model pairs and two emission scenarios. We found that the precocity of phenological stages allows wheat to avoid periods of water deficit in the near future. Nevertheless, in the coming decades the emergence of heat stress and increasing water deficit will deteriorate wheat cultivation over the French territory. Projections show the appearance of combined risks of heat and water deficit up to 4 years per decade under the RCP 8.5 scenario. The proposed method provides a deep level of information that enables regional adaptation strategies: the nature of the risk, its temporal and spatial occurrence, and its potential combination with other risks. It's a first step towards identifying potential sites for breeding crop varieties to increase the resilience of agricultural systems.
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