Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments
文献类型：期刊论文
| 作者 | Webber, H.1,2; Cooke, D.1; Wang, C.1; Asseng, S.3; Martre, P.4; Ewert, F.1,5; Kimball, B.6; Hoogenboom, G.7; Evett, S.8; Chanzy, A.9 |
| 刊名 | FIELD CROPS RESEARCH
 |
| 出版日期 | 2025-10-01 |
| 卷号 | 332页码:110032 |
| 关键词 | Crop models Evapotranspiration Wheat Drought stress Climate risk |
| ISSN号 | 0378-4290 |
| DOI | 10.1016/j.fcr.2025.110032 |
| 产权排序 | 15 |
| 文献子类 | Article |
| 英文摘要 | Under climate change and increasingly extreme weather, projections of water demand and drought stress from process-based crop models can inform risk management and adaptation strategies. Previous studies investigating maize crop models demonstrated considerable error in the simulation of water use, and no similar evaluation of wheat crop models exists. The aims of this study were to (1) evaluate wheat crop models' performance in reproducing observed daily evapotranspiration (ET) for Mediterranean and semi-arid environments, and (2) identify factors and processes associated with model error and uncertainty. These were assessed with an ensemble of wheat crop models for two experiments, one conducted in Bushland, Texas, USA (three seasons, deficit and full irrigation) and another in Avignon, France (four rainfed seasons) with winter bread and durum wheat, respectively. Models were calibrated with all observed data for crop growth. The model ensemble median underestimated water use in all environments evaluated, suggesting a systematic bias. The relative error in underestimating daily ET was constant across levels of atmospheric evaporative demand; therefore, the absolute error was greater for days with larger evaporative demand. This implies errors in the soil water balance increase more rapidly under high evaporative demand conditions. Using a potential versus reference crop evapotranspiration approach did not explain relative model performance. However, the sensitivity analysis indicated that simulation of atmospheric evaporative demand terms explained much more uncertainty in seasonal water use than terms related to soil depth or root growth. Errors in simulated leaf area index were associated with errors in daily simulated ET, but the relationship varied with the growth stage. Collectively, the results suggest the need to improve simulation of atmospheric ET demand to avoid underestimating projected impacts of drought or required water resource availability for viable production systems. |
| URL标识 | 查看原文 |
| WOS关键词 | WEIGHING LYSIMETER ; CLIMATE-CHANGE ; WINTER-WHEAT ; HEAT-STRESS ; BARE SOIL ; WATER ; EVAPOTRANSPIRATION ; SIMULATION ; EVAPORATION ; UNCERTAINTY |
| WOS研究方向 | Agriculture |
| 语种 | 英语 |
| WOS记录号 | WOS:001513542200001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/214505]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Webber, H. |
| 作者单位 | 1.Leibniz Ctr Agr Landscape Res ZALF, Muncheberg, Germany; 2.Brandenburg Tech Univ Cottbus, Cottbus, Germany; 3.Tech Univ Munich, HEF World Agr Syst Ctr, Digital Agr, Freising Weihenstephan, Germany; 4.Univ Montpellier, Inst Agro Montpellier, LEPSE, INRAE, Montpellier, France; 5.Univ Bonn, Inst Crop Sci & Resource Conservat, Crop Sci, Bonn, Germany; 6.USDA ARS, US Arid Land Agr Res Ctr, Maricopa, AZ USA; 7.Univ Florida, Agr & Biol Engn Dept, Gainesville, FL USA; 8.USDA ARS, Conservat & Prod Res Lab, Bushland, TX USA; 9.Avignon Univ, UMR EMMAH, INRAE, Avignon, France; 10.European Ctr Medium Range Weather Forecasts, Shinfield Pk, Reading, England; |
| 推荐引用方式 GB/T 7714 | Webber, H.,Cooke, D.,Wang, C.,et al. Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments[J]. FIELD CROPS RESEARCH,2025,332:110032. |
| APA | Webber, H..,Cooke, D..,Wang, C..,Asseng, S..,Martre, P..,...&White, J..(2025).Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments.FIELD CROPS RESEARCH,332,110032. |
| MLA | Webber, H.,et al."Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments".FIELD CROPS RESEARCH 332(2025):110032. |
入库方式： OAI收割
来源：地理科学与资源研究所
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