• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

观测和作物模型一致表明美国作物对高温的负面响应。

Consistent negative response of US crops to high temperatures in observations and crop models.

机构信息

Climate Impacts and Vulnerabilities, Potsdam Institute for Climate Impact Research (PIK), 14473 Potsdam, Germany.

Department of Agronomy, Iowa State University, Ames, Iowa 50011, USA.

出版信息

Nat Commun. 2017 Jan 19;8:13931. doi: 10.1038/ncomms13931.

DOI:10.1038/ncomms13931
PMID:28102202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5253679/
Abstract

High temperatures are detrimental to crop yields and could lead to global warming-driven reductions in agricultural productivity. To assess future threats, the majority of studies used process-based crop models, but their ability to represent effects of high temperature has been questioned. Here we show that an ensemble of nine crop models reproduces the observed average temperature responses of US maize, soybean and wheat yields. Each day >30 °C diminishes maize and soybean yields by up to 6% under rainfed conditions. Declines observed in irrigated areas, or simulated assuming full irrigation, are weak. This supports the hypothesis that water stress induced by high temperatures causes the decline. For wheat a negative response to high temperature is neither observed nor simulated under historical conditions, since critical temperatures are rarely exceeded during the growing season. In the future, yields are modelled to decline for all three crops at temperatures >30 °C. Elevated CO can only weakly reduce these yield losses, in contrast to irrigation.

摘要

高温不利于作物产量,可能导致全球变暖导致农业生产力下降。为了评估未来的威胁,大多数研究都使用了基于过程的作物模型,但它们对高温影响的表示能力一直受到质疑。在这里,我们展示了一个由九个作物模型组成的集合,可以再现美国玉米、大豆和小麦产量的观测到的平均温度响应。在雨养条件下,每天超过 30°C,玉米和大豆的产量最多减少 6%。在灌溉地区观察到的下降,或假设完全灌溉的情况下模拟的下降则较弱。这支持了高温导致水分胁迫从而引起减产的假设。对于小麦,在历史条件下,既没有观察到也没有模拟到高温的负面响应,因为在生长季节很少有临界温度超过。在未来,所有三种作物的产量在超过 30°C 的温度下都将下降。与灌溉相比,升高的 CO 只能微弱地减少这些产量损失。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8966/5253679/29a5f0d2852b/ncomms13931-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8966/5253679/138aa072c6e1/ncomms13931-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8966/5253679/9f62e39d25a9/ncomms13931-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8966/5253679/29a5f0d2852b/ncomms13931-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8966/5253679/138aa072c6e1/ncomms13931-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8966/5253679/9f62e39d25a9/ncomms13931-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8966/5253679/29a5f0d2852b/ncomms13931-f3.jpg

相似文献

1
Consistent negative response of US crops to high temperatures in observations and crop models.观测和作物模型一致表明美国作物对高温的负面响应。
Nat Commun. 2017 Jan 19;8:13931. doi: 10.1038/ncomms13931.
2
Current irrigation practices in the central United States reduce drought and extreme heat impacts for maize and soybean, but not for wheat.目前美国中部的灌溉实践减少了玉米和大豆受到干旱和极端高温的影响,但对小麦没有影响。
Sci Total Environ. 2015 Mar 1;508:331-42. doi: 10.1016/j.scitotenv.2014.12.004. Epub 2014 Dec 9.
3
The implication of irrigation in climate change impact assessment: a European-wide study.灌溉对气候变化评估影响的意义:一项全欧范围的研究。
Glob Chang Biol. 2015 Nov;21(11):4031-48. doi: 10.1111/gcb.13008. Epub 2015 Jul 30.
4
SWAT-MODSIM-PSO optimization of multi-crop planning in the Karkheh River Basin, Iran, under the impacts of climate change.基于气候变化影响的伊朗卡伦河流域多作物规划的 SWAT-MODSIM-PSO 优化。
Sci Total Environ. 2018 Jul 15;630:502-516. doi: 10.1016/j.scitotenv.2018.02.234. Epub 2018 Feb 24.
5
Elucidating the impact of temperature variability and extremes on cereal croplands through remote sensing.通过遥感手段阐明温度多变性和极值对谷类耕地的影响。
Glob Chang Biol. 2015 Apr;21(4):1541-51. doi: 10.1111/gcb.12660. Epub 2014 Jul 4.
6
Quantifying irrigation cooling benefits to maize yield in the US Midwest.量化美国中西部灌溉对玉米产量的冷却效益。
Glob Chang Biol. 2020 May;26(5):3065-3078. doi: 10.1111/gcb.15002. Epub 2020 Mar 13.
7
Environmental impacts on water resources from summer crops in rainfed and irrigated systems.旱作和灌溉系统中夏作物对水资源的环境影响。
J Environ Manage. 2019 Feb 15;232:514-522. doi: 10.1016/j.jenvman.2018.11.090. Epub 2018 Nov 29.
8
Assessing future drought impacts on yields based on historical irrigation reaction to drought for four major crops in Kansas.基于堪萨斯州四大主要作物历史灌溉对干旱的反应评估未来干旱对产量的影响。
Sci Total Environ. 2016 Apr 15;550:851-860. doi: 10.1016/j.scitotenv.2016.01.181. Epub 2016 Feb 3.
9
Climate-induced reduction in US-wide soybean yields underpinned by region- and in-season-specific responses.气候变化导致美国大豆产量下降,这是由各地区和各季节的具体反应所支撑的。
Nat Plants. 2015 Feb 2;1:14026. doi: 10.1038/nplants.2014.26.
10
The uncertainty of crop yield projections is reduced by improved temperature response functions.改进的温度响应函数可降低作物产量预测的不确定性。
Nat Plants. 2017 Jul 17;3:17102. doi: 10.1038/nplants.2017.102.

引用本文的文献

1
Climate change increases the interannual variance of summer crop yields globally through changes in temperature and water supply.气候变化通过温度和供水的变化增加了全球夏季作物产量的年际变化。
Sci Adv. 2025 Sep 5;11(36):eady3575. doi: 10.1126/sciadv.ady3575. Epub 2025 Sep 3.
2
A machine learning approach for estimating forage maize yield and quality in NW Spain.一种用于估算西班牙西北部饲用玉米产量和品质的机器学习方法。
PLoS One. 2025 Aug 12;20(8):e0326364. doi: 10.1371/journal.pone.0326364. eCollection 2025.
3
Impacts of climate change on global agriculture accounting for adaptation.

本文引用的文献

1
Effect of warming temperatures on US wheat yields.气温上升对美国小麦产量的影响。
Proc Natl Acad Sci U S A. 2015 Jun 2;112(22):6931-6. doi: 10.1073/pnas.1415181112. Epub 2015 May 11.
2
Climate variation explains a third of global crop yield variability.气候变化解释了全球作物产量变异性的三分之一。
Nat Commun. 2015 Jan 22;6:5989. doi: 10.1038/ncomms6989.
3
Greater sensitivity to drought accompanies maize yield increase in the U.S. Midwest.美国中西部玉米产量增加伴随着对干旱的敏感性提高。
气候变化对考虑适应因素的全球农业的影响。
Nature. 2025 Jun;642(8068):644-652. doi: 10.1038/s41586-025-09085-w. Epub 2025 Jun 18.
4
Optimizing Irrigation Strategies to Improve Yield and Water Use Efficiency of Drip-Irrigated Maize in Southern Xinjiang.优化灌溉策略以提高南疆滴灌玉米的产量和水分利用效率
Plants (Basel). 2024 Dec 13;13(24):3492. doi: 10.3390/plants13243492.
5
Global genotype by environment prediction competition reveals that diverse modeling strategies can deliver satisfactory maize yield estimates.全球基因型与环境互作预测竞赛表明,多种建模策略均可提供令人满意的玉米产量估计。
Genetics. 2025 Feb 5;229(2). doi: 10.1093/genetics/iyae195.
6
Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates.全球基因型与环境预测竞赛表明,多种建模策略可提供令人满意的玉米产量估计。
bioRxiv. 2024 Sep 19:2024.09.13.612969. doi: 10.1101/2024.09.13.612969.
7
LHP1 and INO80 cooperate with ethylene signaling for warm ambient temperature response by activating specific bivalent genes.LHP1 和 INO80 通过激活特定的双价基因与乙烯信号转导合作,对温暖的环境温度做出响应。
Cell Rep. 2024 Sep 24;43(9):114758. doi: 10.1016/j.celrep.2024.114758. Epub 2024 Sep 11.
8
Drip Fertigation Increases Maize Grain Yield by Affecting Phenology, Grain Filling Process, Biomass Accumulation and Translocation: A 4-Year Field Trial.滴灌施肥通过影响物候、籽粒灌浆过程、生物量积累和转运提高玉米籽粒产量:一项为期4年的田间试验
Plants (Basel). 2024 Jul 10;13(14):1903. doi: 10.3390/plants13141903.
9
Detect and attribute the extreme maize yield losses based on spatio-temporal deep learning.基于时空深度学习检测并归因极端玉米产量损失。
Fundam Res. 2022 May 16;3(6):951-959. doi: 10.1016/j.fmre.2022.05.006. eCollection 2023 Nov.
10
Potential for surprising heat and drought events in wheat-producing regions of USA and China.美国和中国小麦产区出现意外高温和干旱事件的可能性。
NPJ Clim Atmos Sci. 2023;6(1):56. doi: 10.1038/s41612-023-00361-y. Epub 2023 Jun 2.
Science. 2014 May 2;344(6183):516-9. doi: 10.1126/science.1251423.
4
The Inter-Sectoral Impact Model Intercomparison Project (ISI-MIP): project framework.部门间影响模型比较计划(ISI-MIP):项目框架。
Proc Natl Acad Sci U S A. 2014 Mar 4;111(9):3228-32. doi: 10.1073/pnas.1312330110. Epub 2013 Dec 16.
5
Constraints and potentials of future irrigation water availability on agricultural production under climate change.气候变化下未来灌溉水资源对农业生产的制约因素和潜力。
Proc Natl Acad Sci U S A. 2014 Mar 4;111(9):3239-44. doi: 10.1073/pnas.1222474110. Epub 2013 Dec 16.
6
Temperatures and the growth and development of maize and rice: a review.温度与玉米和水稻的生长发育:综述。
Glob Chang Biol. 2014 Feb;20(2):408-17. doi: 10.1111/gcb.12389. Epub 2013 Dec 19.
7
Physiological, biochemical, and molecular mechanisms of heat stress tolerance in plants.植物耐热胁迫的生理、生化及分子机制。
Int J Mol Sci. 2013 May 3;14(5):9643-84. doi: 10.3390/ijms14059643.
8
Putting mechanisms into crop production models.将机制纳入作物生产模型。
Plant Cell Environ. 2013 Sep;36(9):1658-72. doi: 10.1111/pce.12119. Epub 2013 May 22.
9
Global warming can negate the expected CO2 stimulation in photosynthesis and productivity for soybean grown in the Midwestern United States.全球变暖可能会抵消美国中西部种植大豆的光合作用和生产力对二氧化碳增加的预期刺激。
Plant Physiol. 2013 May;162(1):410-23. doi: 10.1104/pp.112.211938. Epub 2013 Mar 19.
10
The influence of climate change on global crop productivity.气候变化对全球作物生产力的影响。
Plant Physiol. 2012 Dec;160(4):1686-97. doi: 10.1104/pp.112.208298. Epub 2012 Oct 10.