Recovery of ecosystem productivity in China due to the Clean Air Action plan

IF 15.7 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Hao Zhou, Xu Yue, Huibin Dai, Guannan Geng, Wenping Yuan, Jiquan Chen, Guofeng Shen, Tianyi Zhang, Jun Zhu, Hong Liao
{"title":"Recovery of ecosystem productivity in China due to the Clean Air Action plan","authors":"Hao Zhou, Xu Yue, Huibin Dai, Guannan Geng, Wenping Yuan, Jiquan Chen, Guofeng Shen, Tianyi Zhang, Jun Zhu, Hong Liao","doi":"10.1038/s41561-024-01586-z","DOIUrl":null,"url":null,"abstract":"<p>Severe air pollution reduces ecosystem carbon assimilation through the vegetation damaging effects of ozone and by altering the climate through aerosol effects, exacerbating global warming. In response, China implemented the Clean Air Action plan in 2013 to reduce anthropogenic emissions. Here we assess the impact of air pollution reductions due to the Clean Air Action plan on net primary productivity (NPP) in China during the period 2014–2020 using multiple measurements, process-based models and machine learning algorithms. The Clean Air Action plan led to a national NPP increase of 26.3 ± 27.9 TgC yr<sup>−1</sup>, of which 20.1 ± 10.9 TgC yr<sup>−1</sup> is attributed to aerosol reductions, driven by both the enhanced light availability as a result of decreased black carbon concentrations and the increased precipitation caused by weakened aerosol climatic effects. The impact of ozone amelioration became more important over time, surpassing the effects of aerosol reduction by 2020, and is expected to drive future NPP recovery. Two machine learning models simulated similar NPP recoveries of 42.8 ± 26.8 TgC yr<sup>−</sup><sup>1</sup> and 43.4 ± 30.1 TgC yr<sup>−</sup><sup>1</sup>. Our study highlights substantial carbon gains from controlling aerosols and surface ozone, underscoring the co-benefits of regulating air pollution for public health and carbon neutrality in China.</p>","PeriodicalId":19053,"journal":{"name":"Nature Geoscience","volume":"246 1","pages":""},"PeriodicalIF":15.7000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Geoscience","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1038/s41561-024-01586-z","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Severe air pollution reduces ecosystem carbon assimilation through the vegetation damaging effects of ozone and by altering the climate through aerosol effects, exacerbating global warming. In response, China implemented the Clean Air Action plan in 2013 to reduce anthropogenic emissions. Here we assess the impact of air pollution reductions due to the Clean Air Action plan on net primary productivity (NPP) in China during the period 2014–2020 using multiple measurements, process-based models and machine learning algorithms. The Clean Air Action plan led to a national NPP increase of 26.3 ± 27.9 TgC yr−1, of which 20.1 ± 10.9 TgC yr−1 is attributed to aerosol reductions, driven by both the enhanced light availability as a result of decreased black carbon concentrations and the increased precipitation caused by weakened aerosol climatic effects. The impact of ozone amelioration became more important over time, surpassing the effects of aerosol reduction by 2020, and is expected to drive future NPP recovery. Two machine learning models simulated similar NPP recoveries of 42.8 ± 26.8 TgC yr1 and 43.4 ± 30.1 TgC yr1. Our study highlights substantial carbon gains from controlling aerosols and surface ozone, underscoring the co-benefits of regulating air pollution for public health and carbon neutrality in China.

Abstract Image

中国因清洁空气行动计划而恢复生态系统生产力
严重的空气污染通过臭氧对植被的破坏作用,以及通过气溶胶效应改变气候来减少生态系统的碳同化,从而加剧全球变暖。为此,中国于 2013 年实施了 "清洁空气行动计划",以减少人为排放。在此,我们利用多种测量数据、基于过程的模型和机器学习算法,评估了 2014-2020 年间清洁空气行动计划导致的空气污染减排对中国净初级生产力(NPP)的影响。清洁空气行动计划使全国净初级生产力增加了 26.3 ± 27.9 TgC yr-1,其中 20.1 ± 10.9 TgC yr-1归因于气溶胶的减少,这既是由于黑碳浓度降低导致光照可用性增强,也是由于气溶胶气候效应减弱导致降水量增加。随着时间的推移,臭氧改善的影响变得越来越重要,到 2020 年将超过气溶胶减少的影响,预计将推动未来 NPP 的恢复。两个机器学习模型模拟的净生产力恢复量相似,分别为 42.8 ± 26.8 TgC yr-1 和 43.4 ± 30.1 TgC yr-1。我们的研究突显了控制气溶胶和地表臭氧所带来的巨大碳收益,强调了在中国控制空气污染对公众健康和碳中和的共同效益。
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
Nature Geoscience
Nature Geoscience 地学-地球科学综合
CiteScore
26.70
自引率
1.60%
发文量
187
审稿时长
3.3 months
期刊介绍: Nature Geoscience is a monthly interdisciplinary journal that gathers top-tier research spanning Earth Sciences and related fields. The journal covers all geoscience disciplines, including fieldwork, modeling, and theoretical studies. Topics include atmospheric science, biogeochemistry, climate science, geobiology, geochemistry, geoinformatics, remote sensing, geology, geomagnetism, paleomagnetism, geomorphology, geophysics, glaciology, hydrology, limnology, mineralogy, oceanography, paleontology, paleoclimatology, paleoceanography, petrology, planetary science, seismology, space physics, tectonics, and volcanology. Nature Geoscience upholds its commitment to publishing significant, high-quality Earth Sciences research through fair, rapid, and rigorous peer review, overseen by a team of full-time professional editors.
×
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