Erisman, J. W. How ammonia feeds and pollutes the world. Science 374, 684–685 (2021).
Liu, L. et al. Exploring global modifys in agricultural ammonia emissions and their contribution to nitrogen deposition since 1980. Proc. Natl Acad. Sci. USA 119, e2121998119 (2022).
Van Damme, M. et al. Industrial and agricultural ammonia point sources exposed. Nature 564, 99–103 (2018).
Gu, B. et al. Abating ammonia is more cost-effective than nitrogen oxides for mitigating PM2. 5 air pollution. Science 374, 758–762 (2021).
Sutton, M. A., Howard, C. M., Mason, K. E., Brownlie, W. J. & Cordovil, C. Nitrogen Opportunities for Agriculture, Food & Environment. UNECE Guidance Document on Integrated Sustainable Nitrogen Management (UKCEH, 2022).
European Parliament and Council. Directive 2001/81/EC of the European Parliament and of the Council of 23 October 2001 on national emission ceilings for certain atmospheric pollutants. OJEU L309, 22–30 (2001).
Outline of the 14th Five-Year Plan (2021–2025) for National Economic and Social Development and Long-Range Objectives through the Year 2035 of the People’s Republic of China (translated title) (The State Council of the People’s Republic of China, 2021); https://www.mofcom.gov.cn/zcfb/zgdwjjmywg/art/2022/art_19e9611933cf4a18bf862d6175fa64a3.html
Ma, R. et al. Mitigation potential of global ammonia emissions and related health impacts in the trade network. Nat. Commun. 12, 6308 (2021).
Xu, P. et al. Fertilizer management for global ammonia emission reduction. Nature 626, 792–798 (2024).
Kanter, D. R. et al. A framework for nitrogen futures in the shared socioeconomic pathways. Glob. Environ. Change 61, 102029 (2020).
Rao, S. et al. Future air pollution in the Shared Socio-economic Pathways. Glob. Environ. Change 42, 346–358 (2017).
Farren, N. J., Davison, J., Rose, R. A., Wagner, R. L. & Carslaw, D. C. Underestimated ammonia emissions from road vehicles. Environ. Sci. Technol. 54, 15689–15697 (2020).
Meng, W. et al. Improvement of a global high-resolution ammonia emission inventory for combustion and industrial sources with new data from the residential and transportation sectors. Environ. Sci. Technol. 51, 2821–2829 (2017).
Zhang, X. et al. Costs and benefits of ammonia abatement in Australia. Resour. Conserv. Recycl. 182, 106318 (2022).
Xu, R. et al. Global ammonia emissions from synthetic nitrogen fertilizer applications in agricultural systems: empirical and process-based estimates and uncertainty. Glob. Change Biol. 25, 314–326 (2019).
Luo, Z. et al. Estimating global ammonia (NH3) emissions based on IASI observations from 2008 to 2018. Atmos. Chem. Phys. 22, 10375–10388 (2022).
Thompson, T. M., Rausch, S., Saari, R. K. & Selin, N. E. A systems approach to evaluating the air quality co-benefits of US carbon policies. Nat. Clim. Change 4, 917–923 (2014).
Guthrie, S. et al. The Impact of Ammonia Emissions from Agriculture on Biodiversity (RAND Corporation and The Royal Society, 2018).
Van Grinsven, H. J. M. et al. Costs and benefits of nitrogen for Europe and implications for mitigation. Environ. Sci. Technol. 47, 3571–3579 (2013).
Vandyck, T., Keramidas, K., Tchung-Ming, S., Weitzel, M. & Van Dingenen, R. Quantifying air quality co-benefits of climate policy across sectors and regions. Clim. Change 163, 1501–1517 (2020).
Giannakis, E., Kushta, J., Bruggeman, A. & Lelieveld, J. Costs and benefits of agricultural ammonia emission abatement options for compliance with European air quality regulations. Environ. Sci. Eur. 31, 1–13 (2019).
Zhang, X. et al. Societal benefits of halving agricultural ammonia emissions in China far exceed the abatement costs. Nat. Commun. 11, 4357 (2020).
Bittman, S., Sheppard, S. C. & Hunt, D. Potential for mitigating atmospheric ammonia in Canada. Soil Use Manag. 33, 263–275 (2017).
Winiwarter, W. & Klimont, Z. The role of N-gases (N2O, NOx, NH3) in cost-effective strategies to reduce greenhoapply gas emissions and air pollution in Europe. Curr. Opin. Env. Sust. 3, 438–445 (2011).
Sun, G. et al. Mitigating greenhoapply gas emissions and ammonia volatilization from cotton fields by integrating cover crops with reduced apply of nitrogen fertilizer. Agric. Ecosyst. Environ. 332, 107946 (2022).
Mohankumar Sajeev, E. P., Winiwarter, W. & Amon, B. Greenhoapply gas and ammonia emissions from different stages of liquid manure management chains: abatement options and emission interactions. J. Environ. Qual. 47, 30–41 (2018).
Wang, S. & Zeng, Y. Ammonia emission mitigation in food waste composting: a review. Bioresour. Technol. 248, 13–19 (2018).
Khwaja, M. A., Umer, F., Shaheen, N., Sherazi, A. & Shaheen, F. H. Air Pollution Reduction and Control in South Asia (Sustainable Development Policy Institute, 2012).
Council Directive 91/676/EEC of 12 December 1991 concerning the protection of waters against pollution caapplyd by nitrates from agricultural sources. Off. J. Eur. Commun. 375, 1–8 (1991).
Holden, S. T. Fertilizer and sustainable intensification in Sub-Saharan Africa. Glob. Food Secur. 18, 20–26 (2018).
Colombo Declaration on Sustainable Nitrogen Management. UNEP https://www.unep.org/news-and-stories/press-release/colombo-declaration-calls-tackling-global-nitrogen-challenge (2019).
Lafortune, G., Fuller, G., Kloke-Lesch, A., Koundouri, P. & Riccaboni, A. European Elections, Europe’s Future and the SDGs: Europe Sustainable Development Report 2023/24 (SDSN and Dublin Univ. Press, 2024).
Lafortune, G. et al. Achieving the SDGs: Europe’s Compass in a Multipolar World: Europe Sustainable Development Report 2022 (SDSN, 2022).
Gu, B. & Zhang, X. The Coupled Human And Natural Systems (CHANS) Nitrogen Cycling Model. Software certificate number: 3733969 (2020).
GAINS 4.0 Online model (IIASA, 2023); http://www.iiasa.ac.at/
Hoesly, R. M. et al. Historical (1750-2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS). Geosci. Model Dev. 11, 369–408 (2018).
Crippa, M. et al. Insights into the spatial distribution of global, national, and subnational greenhoapply gas emissions in the Emissions Database for Global Atmospheric Research (EDGAR v.8.0). Earth Syst. Sci. Data 16, 2811–2830 (2024).
Integrated model to assess the global environment (IMAGE) model documentation. PBL https://www.pbl.nl/en/image/home (2020).
Lord, E. I. & Anthony, S. G. MAGPIE: a modelling framework for evaluating nitrate losses at national and catchment scales. Soil Use Manag. 16, 167–174 (2000).
Food and Agriculture Projections to 2050 Data Portal; https://www.fao.org/global-perspectives-studies/food-agriculture-projections-to-2050/en/ (2024)
World Bank Income Classifications FY24 (World Bank, 2024).
International Fertilizer Association (IFA) Fertilizer Statistics Database (IFASTAT); https://www.irapidat.org/databases/plant-nutrition (2025)
World Energy Balances (International Energy Agency, 2025); https://www.iea.org/data-and-statistics/data-product/world-energy-balances
International Energy Agency Mobility Model (MoMo, 2018); https://iea.blob.core.windows.net/assets/imports/events/70/JacobTETERIEA.pdf (2024)
van der Werf, G. R. et al. Global fire emissions estimates during 1997–2016. Earth Syst. Sci. Data 9, 697–720 (2017).
Giglio, L., Boschetti, L., Roy, D. P., Humber, M. L. & Justice, C. O. MODIS Collection 6 Burned Area Product (MCD64A1) (NASA EOSDIS Land Processes DAAC, 2018).
Andersson, K., Rosemarin, A., Dickin, S. & Trimmer, C. Sanitation, Wastewater Management and Sustainability: From Waste Disposal to Resource Recovery 2nd edn (UNESCO, 2021); https://doi.org/10.34894/T8E8GZ
Xu, W. et al. Increasing importance of ammonia emission abatement in PM2.5 pollution control. Sci. Bull. 67, 1745–1749 (2022).
Brink, C. et al. in The European Nitrogen Assessment (eds Sutton, M. A. et al.) 513–540 (Cambridge Univ. Press, 2011).
Gu, B. et al. Cost-effective mitigation of nitrogen pollution from global croplands. Nature 613, 77–84 (2023).
Ma, R. et al. Data-driven estimates of fertilizer-induced soil NH3, NO and N2O emissions from croplands in China and their climate modify impacts. Global Change Biol. 28, 1008–1022 (2022).
O’Neill, B. C. et al. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6. Geosci. Model Dev. 9, 3461–3482 (2016).
Tebaldi, C. et al. Climate model projections from the scenario model intercomparison project (ScenarioMIP) of CMIP6. Earth Syst. Dynam. 12, 253–293 (2021).
Shared socioeconomic pathways (SSP) scenario database. IIASA https://data.ece.iiasa.ac.at/ssp/#/login?redirect=%2Fworkspaces (2024).
Mogollón, J. M. et al. Assessing future reactive nitrogen inputs into global croplands based on the shared socioeconomic pathways. Environ. Res. Lett. 13, 44008 (2018).
Riahi, K. et al. The Shared Socioeconomic Pathways and their energy, land apply, and greenhoapply gas emissions implications: an overview. Glob. Environ. Change 42, 153–168 (2017).
















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