Maize Yield Changes Under Sulfate Aerosol Climate Intervention Using Three Global Gridded Crop Models

IF 7.3 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Earths Future Pub Date : 2025-02-06 DOI:10.1029/2024EF005269
Brendan Clark, Alan Robock, Lili Xia, Sam S. Rabin, Jose R. Guarin, Gerrit Hoogenboom, Jonas Jägermeyr
{"title":"Maize Yield Changes Under Sulfate Aerosol Climate Intervention Using Three Global Gridded Crop Models","authors":"Brendan Clark,&nbsp;Alan Robock,&nbsp;Lili Xia,&nbsp;Sam S. Rabin,&nbsp;Jose R. Guarin,&nbsp;Gerrit Hoogenboom,&nbsp;Jonas Jägermeyr","doi":"10.1029/2024EF005269","DOIUrl":null,"url":null,"abstract":"<p>As the severity of climate change and its associated impacts continue to worsen, schemes for artificially cooling surface temperatures via planetary albedo modification are being studied. The method with the most attention in the literature is stratospheric sulfate aerosol intervention (SAI). Placing reflective aerosols in the stratosphere would have profound impacts on the entire Earth system, with potentially far-reaching societal impacts. How global crop productivity would be affected by such an intervention strategy is still uncertain, and existing evidence is based on theoretical experiments or isolated modeling studies that use crop models missing key processes associated with SAI that affect plant growth, development, and ultimately yield. Here, we utilize three global gridded process-based crop models to better understand the potential impacts of one SAI scenario on global maize productivity. Two of the crop models that simulate diffuse radiation fertilization show similar, yet small increases in global maize productivity from increased diffuse radiation. Three crop models show diverse responses to the same climate perturbation from SAI relative to the reference future climate change scenario. We find that future SAI implementation relative to a climate change scenario benefits global maize productivity ranging between 0% and 11% depending on the crop model. These production increases are attributed to reduced surface temperatures and higher fractions of diffuse radiation. The range across model outcomes highlights the need for more systematic multi-model ensemble assessments using multiple climate model forcings under different SAI scenarios.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 2","pages":""},"PeriodicalIF":7.3000,"publicationDate":"2025-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005269","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Earths Future","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1029/2024EF005269","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

Abstract

As the severity of climate change and its associated impacts continue to worsen, schemes for artificially cooling surface temperatures via planetary albedo modification are being studied. The method with the most attention in the literature is stratospheric sulfate aerosol intervention (SAI). Placing reflective aerosols in the stratosphere would have profound impacts on the entire Earth system, with potentially far-reaching societal impacts. How global crop productivity would be affected by such an intervention strategy is still uncertain, and existing evidence is based on theoretical experiments or isolated modeling studies that use crop models missing key processes associated with SAI that affect plant growth, development, and ultimately yield. Here, we utilize three global gridded process-based crop models to better understand the potential impacts of one SAI scenario on global maize productivity. Two of the crop models that simulate diffuse radiation fertilization show similar, yet small increases in global maize productivity from increased diffuse radiation. Three crop models show diverse responses to the same climate perturbation from SAI relative to the reference future climate change scenario. We find that future SAI implementation relative to a climate change scenario benefits global maize productivity ranging between 0% and 11% depending on the crop model. These production increases are attributed to reduced surface temperatures and higher fractions of diffuse radiation. The range across model outcomes highlights the need for more systematic multi-model ensemble assessments using multiple climate model forcings under different SAI scenarios.

Abstract Image

硫酸盐气溶胶气候干预下玉米产量变化的三种全球网格化作物模型
随着气候变化的严重性及其相关影响继续恶化,人们正在研究通过改变行星反照率人为降低地表温度的方案。目前文献中最受关注的方法是平流层硫酸盐气溶胶干预(SAI)。在平流层放置反射气溶胶将对整个地球系统产生深远的影响,并可能产生深远的社会影响。这种干预策略将如何影响全球作物生产力仍不确定,现有证据是基于理论实验或孤立的建模研究,这些研究使用的作物模型缺少与SAI相关的影响植物生长、发育和最终产量的关键过程。本文利用三种基于过程的全球网格化作物模型来更好地理解SAI情景对全球玉米生产力的潜在影响。模拟漫射辐射施肥的两种作物模型显示,由于漫射辐射的增加,全球玉米产量有类似的小幅增长。相对于参考的未来气候变化情景,三种作物模式对来自SAI的相同气候扰动表现出不同的响应。我们发现,在气候变化情景下,未来SAI的实施对全球玉米生产力的好处在0%到11%之间,具体取决于作物模式。这些产量的增加是由于表面温度的降低和漫射辐射的增加。模式结果之间的差异凸显了在不同SAI情景下使用多种气候模式强迫进行更系统的多模式总体评估的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Earths Future
Earths Future ENVIRONMENTAL SCIENCESGEOSCIENCES, MULTIDI-GEOSCIENCES, MULTIDISCIPLINARY
CiteScore
11.00
自引率
7.30%
发文量
260
审稿时长
16 weeks
期刊介绍: Earth’s Future: A transdisciplinary open access journal, Earth’s Future focuses on the state of the Earth and the prediction of the planet’s future. By publishing peer-reviewed articles as well as editorials, essays, reviews, and commentaries, this journal will be the preeminent scholarly resource on the Anthropocene. It will also help assess the risks and opportunities associated with environmental changes and challenges.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信