Fertilizer management for global ammonia emission reduction

• Published in: Nature (London) Vol. 626; no. 8000; pp. 792 - 798
• Main Authors: Xu, Peng, Li, Geng, Zheng, Yi, Fung, Jimmy C. H., Chen, Anping, Zeng, Zhenzhong, Shen, Huizhong, Hu, Min, Mao, Jiafu, Zheng, Yan, Cui, Xiaoqing, Guo, Zhilin, Chen, Yilin, Feng, Lian, He, Shaokun, Zhang, Xuguo, Lau, Alexis K. H., Tao, Shu, Houlton, Benjamin Z.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 22.02.2024; Nature Publishing Group
• Subjects: 704/844/2739/2807; 706/1143; Agricultural land; agriculture; Air pollution; Air quality; Ammonia; Artificial intelligence; Climate change; Climate change scenarios; Corn; Crop production; Crops; Cultivation; Datasets; Emissions; Emissions control; environmental health; Environmental policy; ENVIRONMENTAL SCIENCES; Fertilizers; Future climates; Grain cultivation; Humanities and Social Sciences; Learning algorithms; Machine learning; multidisciplinary; Nitrogen; Outdoor air quality; Rice; Science; Science (multidisciplinary); Wheat; Southeast Asia; United States > US; Asia; Europe; China; Africa; Brazil; North America; Oceania; India
• ISSN: 0028-0836; 1476-4687; 1476-4687
• DOI: 10.1038/s41586-024-07020-z

Crop production is a large source of atmospheric ammonia (NH 3 ), which poses risks to air quality, human health and ecosystems 1 – 5 . However, estimating global NH 3 emissions from croplands is subject to uncertainties because of data limitations, thereby limiting the accurate identification of mi...