Mapping the race between crop phenology and climate risks for wheat in France under climate change

被引:9
作者
Le Roux, Renan [1 ]
Furusho-Percot, Carina [1 ]
Deswarte, Jean-Charles [2 ]
Bancal, Marie-Odile [3 ]
Chenu, Karine [4 ]
de Noblet-Ducoudre, Nathalie [5 ]
de Cortazar-Atauri, Inaki Garcia [1 ]
Durand, Alexis [1 ]
Bulut, Burak [5 ]
Maury, Olivier [1 ]
Decome, Jeremie [1 ]
Launay, Marie [1 ]
机构
[1] INRAE, AgroClim, F-84914 Avignon, France
[2] ARVALIS, Inst Vegetal, Villiers Le Bacle, France
[3] Univ Paris Saclay, INRAE, AgroParisTech, UMR Ecosys, F-91120 Palaiseau, France
[4] Univ Queensland, Queensland Alliance Agr & Food Innovat, 13 Holberton St, Toowoomba, Qld 4350, Australia
[5] Univ Paris Saclay, Commissariat Energie Atom & Energies Alternat CEA, LSCE, IPSL, F-91191 Gif Sur Yvette, France
关键词
HIGH-TEMPERATURE STRESS; GRAIN-YIELD; WINTER-WHEAT; SEED-GERMINATION; GROWTH; VERNALIZATION; DROUGHT; WATER; SUITABILITY; TOLERANCE;
D O I
10.1038/s41598-024-58826-w
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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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页数:14
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