Articles | Volume 21, issue 23
https://doi.org/10.5194/acp-21-17743-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-17743-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Dec 2021
Research article |
| 03 Dec 2021
| 03 Dec 2021
Responses of surface ozone to future agricultural ammonia emissions and subsequent nitrogen deposition through terrestrial ecosystem changes
Xueying Liu
Earth System Science Programme and Graduate Division of Earth and
Atmospheric Sciences, Faculty of Science, The Chinese University of Hong
Kong, Hong Kong SAR, China
now at: Department of Earth and Atmospheric Sciences, University
of Houston, Houston, TX, USA
Earth System Science Programme and Graduate Division of Earth and
Atmospheric Sciences, Faculty of Science, The Chinese University of Hong
Kong, Hong Kong SAR, China
Institute of Environment, Energy and Sustainability, The Chinese University of Hong Kong, Hong Kong SAR, China
State Key Laboratory of
Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong SAR, China
Ka Ming Fung
Earth System Science Programme and Graduate Division of Earth and
Atmospheric Sciences, Faculty of Science, The Chinese University of Hong
Kong, Hong Kong SAR, China
now at: Department of Civil and Environmental Engineering,
Massachusetts Institute of Technology, Cambridge, MA, USA
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Ka Ming Fung, Colette L. Heald, Jesse H. Kroll, Siyuan Wang, Duseong S. Jo, Andrew Gettelman, Zheng Lu, Xiaohong Liu, Rahul A. Zaveri, Eric C. Apel, Donald R. Blake, Jose-Luis Jimenez, Pedro Campuzano-Jost, Patrick R. Veres, Timothy S. Bates, John E. Shilling, and Maria Zawadowicz
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Understanding the natural aerosol burden in the preindustrial era is crucial for us to assess how atmospheric aerosols affect the Earth's radiative budgets. Our study explores how a detailed description of dimethyl sulfide (DMS) oxidation (implemented in the Community Atmospheric Model version 6 with chemistry, CAM6-chem) could help us better estimate the present-day and preindustrial concentrations of sulfate and other relevant chemicals, as well as the resulting aerosol radiative impacts.
Jiachen Zhu, Amos P. K. Tai, and Steve Hung Lam Yim
Atmos. Chem. Phys., 22, 765–782, https://doi.org/10.5194/acp-22-765-2022, https://doi.org/10.5194/acp-22-765-2022, 2022
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This study assessed O3 damage to plant and the subsequent effects on meteorology and air quality in China, whereby O3, meteorology, and vegetation can co-evolve with each other. We provided comprehensive understanding about how O3–vegetation impacts adversely affect plant growth and crop production, and contribute to global warming and severe O3 air pollution in China. Our findings clearly pinpoint the need to consider the O3 damage effects in both air quality studies and climate change studies.
Felix Leung, Karina Williams, Stephen Sitch, Amos P. K. Tai, Andy Wiltshire, Jemma Gornall, Elizabeth A. Ainsworth, Timothy Arkebauer, and David Scoby
Geosci. Model Dev., 13, 6201–6213, https://doi.org/10.5194/gmd-13-6201-2020, https://doi.org/10.5194/gmd-13-6201-2020, 2020
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Ground-level ozone (O3) is detrimental to plant productivity and crop yield. Currently, the Joint UK Land Environment Simulator (JULES) includes a representation of crops (JULES-crop). The parameters for O3 damage in soybean in JULES-crop were calibrated against photosynthesis measurements from the Soybean Free Air Concentration Enrichment (SoyFACE). The result shows good performance for yield, and it helps contribute to understanding of the impacts of climate and air pollution on food security.
Lang Wang, Amos P. K. Tai, Chi-Yung Tam, Mehliyar Sadiq, Peng Wang, and Kevin K. W. Cheung
Atmos. Chem. Phys., 20, 11349–11369, https://doi.org/10.5194/acp-20-11349-2020, https://doi.org/10.5194/acp-20-11349-2020, 2020
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We investigate the effects of future land use and land cover change (LULCC) on surface ozone air quality worldwide and find that LULCC can significantly influence ozone in North America and Europe via modifying surface energy balance, boundary-layer meteorology, and regional circulation. The strength of such “biogeophysical effects” of LULCC is strongly dependent on forest type and generally greater than the “biogeochemical effects” via changing deposition and emission fluxes alone.
Cited articles
Alexandratos, N. and Bruinsma, J.: World agriculture towards 2030/2050: the
2012 revision, ESA working paper No. 12-03, Food and Agriculture Organization, Rome, 2012.
Behera, S. N., Sharma, M., Aneja, V. P., and Balasubramanian, R.: Ammonia in
the atmosphere: a review on emission sources, atmospheric chemistry and
deposition on terrestrial bodies, Environ. Sci. Pollut. Res. Int., 20,
8092–8131, https://doi.org/10.1007/s11356-013-2051-9, 2013.
Bittman, S. and Mikkelsen, R.: Ammonia emissions from agricultural
operations: livestock, Better Crops, 93, 28–31, 2009.
Bonan, G.: Ecological Climatology, 3rd edn., Cambridge University Press, Cambridge, United Kingdom, 2016.
Bonan, G. B., Lawrence, P. J., Oleson, K. W., Levis, S., Jung, M.,
Reichstein, M., Lawrence, D. M., and Swenson, S. C.: Improving canopy
processes in the Community Land Model version 4 (CLM4) using global flux
fields empirically inferred from FLUXNET data, J. Geophys. Res.-Biogeo.,
116, G02014, https://doi.org/10.1029/2010jg001593, 2011.
Ciais, P., Sabine, C., Bala, G., Bopp, L., Brovkin, V., Canadell, J.,
Chhabra, A., DeFries, R., Galloway, J., Heimann, M., Jones, C.,
Quéré, C. L., Myneni, R. B., Piao, S., and Thornton, P.: Chapter 6:
Carbon and Other Biogeochemical Cycles, in: IPCC, Climate Change 2013: The
Physical Science Basis. Contribution of Working Group I to the Fifth
Assessment Report of the Intergovernmental Panel on Climate Change, edited
by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K.,
Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge
University Press, Cambridge, United Kingdom and New York, NY, USA, 465–570,
2013.
Ellis, R. A., Jacob, D. J., Sulprizio, M. P., Zhang, L., Holmes, C. D., Schichtel, B. A., Blett, T., Porter, E., Pardo, L. H., and Lynch, J. A.: Present and future nitrogen deposition to national parks in the United States: critical load exceedances, Atmos. Chem. Phys., 13, 9083–9095, https://doi.org/10.5194/acp-13-9083-2013, 2013.
Emmons, L. K., Walters, S., Hess, P. G., Lamarque, J.-F., Pfister, G. G., Fillmore, D., Granier, C., Guenther, A., Kinnison, D., Laepple, T., Orlando, J., Tie, X., Tyndall, G., Wiedinmyer, C., Baughcum, S. L., and Kloster, S.: Description and evaluation of the Model for Ozone and Related chemical Tracers, version 4 (MOZART-4), Geosci. Model Dev., 3, 43–67, https://doi.org/10.5194/gmd-3-43-2010, 2010.
Erisman, J. W., Sutton, M. A., Galloway, J., Klimont, Z., and Winiwarter,
W.: How a century of ammonia synthesis changed the world, Nat. Geosci., 1,
636–639, https://doi.org/10.1038/ngeo325, 2008.
FAOSTAT: FAO Statistical Databases, available at: https://www.fao.org/faostat/en/, last access: 20 November 2021.
Franz, M. and Zaehle, S.: Competing effects of nitrogen deposition and ozone exposure on northern hemispheric terrestrial carbon uptake and storage, 1850–2099, Biogeosciences, 18, 3219–3241, https://doi.org/10.5194/bg-18-3219-2021, 2021.
Fu, Y. and Tai, A. P. K.: Impact of climate and land cover changes on tropospheric ozone air quality and public health in East Asia between 1980 and 2010, Atmos. Chem. Phys., 15, 10093–10106, https://doi.org/10.5194/acp-15-10093-2015, 2015.
Fung, K. M., Tai, A. P., Yong, T., Liu, X., and Lam, H. M.: Co-benefits of
intercropping as a sustainable farming method for safeguarding both food
security and air quality, Environ. Res. Lett., 14, 044011,
https://doi.org/10.1088/1748-9326/aafc8b, 2019.
Fung, K. M., Val Martin, M., and Tai, A. P. K.: Modeling the interinfluence of fertilizer-induced NH3 emission, nitrogen deposition, and aerosol radiative effects using modified CESM2, Biogeosciences Discuss. [preprint], https://doi.org/10.5194/bg-2021-63, in review, 2021.
Galloway, J. N., Aber, J. D., Erisman, J. W., Seitzinger, S. P., Howarth, R.
W., Cowling, E. B., and Cosby, J.: The nitrogen cascade, BioScience, 53,
341–356, https://doi.org/10.1641/0006-3568(2003)053[0341:TNC]2.0.CO;2, 2003.
Gruber, N. and Galloway, J. N.: An Earth-system perspective of the global
nitrogen cycle, Nature, 451, 293–296, https://doi.org/10.1038/nature06592, 2008.
Gu, B., Ju. X., Chang. J., Ge, Y., and Vitousek P. M.: Integrated reactive
nitrogen budgets and future trends in China, P. Natl. Acad. Sci. USA,
112, 8792–8797, https://doi.org/10.1073/pnas.1510211112, 2015.
Gu, B. J., Ge, Y., Ren, Y., Xu, B., Luo, W. D., Jiang, H., Gu, B. H., and
Chang, J.: Atmospheric reactive nitrogen in China: Sources, recent trends,
and damage costs, Environ. Sci. Technol., 46, 9240–9247,
https://doi.org/10.1021/es301446g, 2012.
Gu, B. J., Sutton, M. A., Chang, S. X., Ge, Y., and Jie, C.: Agricultural
ammonia emissions contribute to China's urban air pollution, Front. Ecol.
Environ., 12, 265–266, https://doi.org/10.1890/14.WB.007, 2015.
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X.: The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471–1492, https://doi.org/10.5194/gmd-5-1471-2012, 2012.
Heimann, M. and Reichstein, M.: Terrestrial ecosystem carbon dynamics and
climate feedbacks, Nature, 451, 289–292, https://doi.org/10.1038/nature06591, 2008.
Huang, X., Song, Y., Li, M., Li, J., Huo, Q., Cai, X., Zhu, T., Hu, M., and
Zhang, H.: A high-resolution ammonia emission inventory in China, Global
Biogeochem. Cy., 26, GB1030, https://doi.org/10.1029/2011GB004161, 2012.
Jacob, D. J. and Winner, D. A.: Effect of climate change on air quality, Atmos. Environ., 43, 51–63, https://doi.org/10.1016/j.atmosenv.2008.09.051, 2009.
Kanakidou, M., Myriokefalitakis, S., Daskalakis, N., Fanourgakis, G., Nenes,
A., Baker, A. R., Tsigaridis, K., and Mihalopoulos, N.: Past, present and
future atmospheric nitrogen deposition, J. Atmos. Sci., 73, 2039–2047,
https://doi.org/10.1175/JAS-D-15-0278.1, 2016.
Kang, Y., Liu, M., Song, Y., Huang, X., Yao, H., Cai, X., Zhang, H., Kang, L., Liu, X., Yan, X., He, H., Zhang, Q., Shao, M., and Zhu, T.: High-resolution ammonia emissions inventories in China from 1980 to 2012, Atmos. Chem. Phys., 16, 2043–2058, https://doi.org/10.5194/acp-16-2043-2016, 2016.
Lamarque, J.-F., Kyle, G. P., Meinshausen, M., Riahi, K., Smith, S. J.,
Vuuren, D. P., Conley, A. J., and Vitt, F.: Global and regional evolution of
short-lived radiatively-active gases and aerosols in the Representative
Concentration Pathways, Climatic Change, 109, 191–212,
https://doi.org/10.1007/s10584-011-0155-0, 2011.
Lamarque, J.-F., Emmons, L. K., Hess, P. G., Kinnison, D. E., Tilmes, S., Vitt, F., Heald, C. L., Holland, E. A., Lauritzen, P. H., Neu, J., Orlando, J. J., Rasch, P. J., and Tyndall, G. K.: CAM-chem: description and evaluation of interactive atmospheric chemistry in the Community Earth System Model, Geosci. Model Dev., 5, 369–411, https://doi.org/10.5194/gmd-5-369-2012, 2012.
Lamarque, J.-F., Shindell, D. T., Josse, B., Young, P. J., Cionni, I., Eyring, V., Bergmann, D., Cameron-Smith, P., Collins, W. J., Doherty, R., Dalsoren, S., Faluvegi, G., Folberth, G., Ghan, S. J., Horowitz, L. W., Lee, Y. H., MacKenzie, I. A., Nagashima, T., Naik, V., Plummer, D., Righi, M., Rumbold, S. T., Schulz, M., Skeie, R. B., Stevenson, D. S., Strode, S., Sudo, K., Szopa, S., Voulgarakis, A., and Zeng, G.: The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP): overview and description of models, simulations and climate diagnostics, Geosci. Model Dev., 6, 179–206, https://doi.org/10.5194/gmd-6-179-2013, 2013.
Lawrence, D. M., Oleson, K. W., Flanner, M. G., Thornton, P. E., Swenson, S.
C., Lawrence, P. J., Zeng, X. B., Yang, Z. L., Levis, S., Sakaguchi, K.,
Bonan, G. B., and Slater, A. G.: Parameterization Improvements and
Functional and Structural Advances in Version 4 of the Community Land Model,
J. Adv. Model Earth Sy., 3, M03001, https://doi.org/10.1029/2011MS00045, 2011.
LeBauer, D. S. and Treseder, K. K.: Nitrogen limitation of net primary
productivity in terrestrial ecosystems is globally distributed,
Ecology, 89, 371–379, https://doi.org/10.1890/06-2057.1, 2008.
Li, Y., Schichtel, B. A., Walker, J. T., Schwede, D. B., Chen, X., Lehmann,
C. M., Puchalski, M. A., Gay, D. A., and Collett, J. L.: Increasing
importance of deposition of reduced nitrogen in the United States, P. Natl.
Acad. Sci. USA, 113, 5874–5879, https://doi.org/10.1073/pnas.1525736113, 2016.
Liu, J., Ma, K., Ciais, P., and Polasky, S.: Reducing human nitrogen use for
food production, Sci. Rep., 6, 30104, https://doi.org/10.1038/srep30104, 2016.
Liu, M. L. and Tian, H. Q.: China's land cover and land use change from 1700
to 2005: Estimations from high-resolution satellite data and historical
archives, Global Biogeochem. Cy., 24, GB3003, https://doi.org/10.1029/2009gb003687,
2010.
Lombardozzi, D., Levis, S., Bonan, G., and Sparks, J. P.: Predicting photosynthesis and transpiration responses to ozone: decoupling modeled photosynthesis and stomatal conductance, Biogeosciences, 9, 3113–3130, https://doi.org/10.5194/bg-9-3113-2012, 2012.
Mueller, N. D., Lassaletta, L., Runck, B. C., Billen, G., Garnier, J., and
Gerber, J. S.: Declining spatial efficiency of global cropland nitrogen
allocation, Global Biogeochem. Cy., 31, 245–257,
https://doi.org/10.1002/2016GB005515, 2017.
Myhre, G., Shindell, D., Bréon, F.-M., Collins, W., Fuglestvedt, J., Huang, J., Koch, D., Lamarque, J.-F., Lee, D., Mendoza, B., Nakajima, T., Robock, A., Stephens, G., Takemura, T., and Zhang, H.: Anthropogenic and Natural Radiative Forcing, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, https://doi.org/10.1017/CBO9781107415324.018, 2013.
Neale, R. B., Richter, J., Park, S., Lauritzen, P. H., Vavrus, S. J., Rasch, P. J., and Zhang, M. H.: The Mean Climate of the Community Atmosphere Model (CAM4) in Forced SST and Fully Coupled Experiments, J. Climate, 26, 5150–5168, https://doi.org/10.1175/JCLI-D-12-00236.1, 2013.
Oleson, K. W., Lawrence, D. M., Bonan, G. B., Drewniak, B., Huang, M.,
Koven, C. D., Levis, S., Li, F., Riley, W. J., Subin, Z. M., Swenson, S. C.,
Thornton, P. E., Bozbiyik, A., Fisher, R., Heald, C. L., Kluzek, E.,
Lamarque, J.-F., Lawrence, P. J., Leung, L. R., Lipscomb, W., Muszala, S.,
Ricciuto, D. M., Sacks, W., Sun, Y., Tang, J., and Yang, Z.-L.: Technical
Description of version 4.5 of the Community Land Model (CLM), Ncar Technical
Note NCAR/TN-503+STR, National Center for Atmospheric Research, 422,
https://doi.org/10.5065/D6RR1W7M, 2013.
Paulot, F., Jacob, D. J., and Henze, D. K.: Sources and processes
contributing to nitrogen deposition in biodiversity hotspots worldwide,
Environ. Sci. Technol., 47, 3226–3233, https://doi.org/10.1021/es3027727, 2013.
Paulot, F., Jacob, D. J., Pinder, R. W., Bash, J. O., Travis, K., and Henze,
D. K.: Ammonia emissions in the United States, European Union, and China
derived by high-resolution inversion of ammonium wet deposition data:
interpretation with a new agricultural emissions inventory
(MASAGE_NH3), J. Geophys. Res.-Atmos., 119, 4343–4364,
https://doi.org/10.1002/2013JD021130, 2014.
Rayner, N. A., Parker, D. E., Horton, E. B., Folland, C. K., Alexander, L.
V., Rowell, D. P., Kent, E. C., and Kaplan, A.: Global analyses of sea
surface temperature, sea ice, and night marine air temperature since the
late nineteenth century, J. Geophys. Res.-Atmos., 108, D002670,
https://doi.org/10.1029/2002JD002670, 2003.
Reay, D. S., Dentener, F., Smit, P., Grace, J., and Feely, R. A.: Global
nitrogen deposition and carbon sinks, Nat. Geosci., 1, 430–437,
https://doi.org/10.1038/ngeo230, 2008.
Reis, S., Pinder, R. W., Zhang, M., Lijie, G., and Sutton, M. A.: Reactive nitrogen in atmospheric emission inventories, Atmos. Chem. Phys., 9, 7657–7677, https://doi.org/10.5194/acp-9-7657-2009, 2009.
Sadiq, M., Tai, A. P. K., Lombardozzi, D., and Val Martin, M.: Effects of ozone–vegetation coupling on surface ozone air quality via biogeochemical and meteorological feedbacks, Atmos. Chem. Phys., 17, 3055–3066, https://doi.org/10.5194/acp-17-3055-2017, 2017.
Shang, B., Xu, Y., Peng, J., Agathokleous, E., and Feng, Z.: High nitrogen
addition decreases the ozone flux by reducing the maximum stomatal
conductance in poplar saplings, Environ. Pollut., 272, 115979,
https://doi.org/10.1016/j.envpol.2020.115979, 2021.
Streets, D. G., Bond, T. C., Carmichael, G. R., Fernandes, S. D., Fu, Q.,
He, D., Klimont, Z., Nelson, S. M., Tsai, N. Y., Wang, M. Q., Woo, J.-H.,
and Yarber, K. F.: An inventory of gaseous and primary aerosol emissions in
Asia in the year 2000, J. Geophys. Res., 108, 8809,
https://doi.org/10.1029/2002JD003093, 2003.
Tai, A. P. K. and Val Martin, M.: Impacts of ozone air pollution and temperature
extremes on crop yields: Spatial variability, adaptation and implications
for future food security, Atmos. Environ., 169, 11–21,
https://doi.org/10.1016/j.atmosenv.2017.09.002, 2017.
Tai, A. P. K., Val Martin, M., and Heald, C. L.,: Threat to future global food
security from climate change and ozone air pollution, Nat. Clim.
Change, 4, 817–821, https://doi.org/10.1038/nclimate2317, 2014.
Templer, P. H., Pinder, R. W., and Goodale, C. L.: Effects of nitrogen
deposition on greenhouse-gas fluxes for forests and grasslands of North
America, Front Ecol. Environ., 10, 547–553, https://doi.org/10.1890/120055, 2012.
Tian, H., Banger, K., Bo, T., and Dadhwal, V. K.: History of land use in
India during 1880–2010: Large-scale land transformations reconstructed from
satellite data and historical archives, Global Planet. Change, 121,
78–88, https://doi.org/10.1016/j.gloplacha.2014.07.005, 2014.
Tilman, D., Cassman, K. G., Matson, P. A., Naylor, R., and Polasky, S.:
Agricultural sustainability and intensive production practices, Nature, 418,
671–677, https://doi.org/10.1038/nature01014, 2002.
Val Martin, M., Heald, C. L., and Arnold, S. R.: Coupling dry deposition to
vegetation phenology in the Community Earth System Model: Implications for
the simulation of surface O3, Geophys. Res. Lett., 41, 2988–2996,
https://doi.org/10.1002/2014GL059651, 2014.
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A.,
Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J. F., Masui, T.,
Meinshausen, M., Nakicenovic, N., Smith, S. J., and Rose, S. K.: The
representative concentration pathways: an overview, Climatic Change, 109,
5–31, https://doi.org/10.1007/s10584-011-0148-z, 2011.
Vitousek, P. M., Hättenschwiler, S., Olander, L., and Allison, S.:
Nitrogen and Nature, A Journal of the Human Environment, 31, 97–101,
https://doi.org/10.1579/0044-7447-31.2.97, 2002.
Wang, L., Tai, A. P. K., Tam, C.-Y., Sadiq, M., Wang, P., and Cheung, K. K. W.: Impacts of future land use and land cover change on mid-21st-century surface ozone air quality: distinguishing between the biogeophysical and biogeochemical effects, Atmos. Chem. Phys., 20, 11349–11369, https://doi.org/10.5194/acp-20-11349-2020, 2020.
Wong, A. Y. H., Tai, A. P. K., and Ip, Y. Y.: Attribution and statistical
parameterization of the sensitivity of surface ozone to changes in leaf area
index based on a chemical transport model, J. Geophys. Res.-Atmos., 123,
1883–1898, https://doi.org/10.1002/2017JD027311, 2018.
Zaehle, S., Friedlingstein, P., and Friend, A. D.: Terrestrial nitrogen
feedbacks may accelerate future climate change, Geophys. Res. Lett., 37,
L01401, https://doi.org/10.1029/2009GL041345, 2010.
Zaehle, S., Ciais, P., Friend, A. D., and Prieur, V.: Carbon benefits of
anthropogenic reactive nitrogen offset by nitrous oxide emissions, Nat.
Geosci., 4, 601–605, https://doi.org/10.1038/ngeo1207, 2011.
Zhang, L., Chen, Y., Zhao, Y., Henze, D. K., Zhu, L., Song, Y., Paulot, F., Liu, X., Pan, Y., Lin, Y., and Huang, B.: Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates, Atmos. Chem. Phys., 18, 339–355, https://doi.org/10.5194/acp-18-339-2018, 2018.
Zhang, X.: Biogeochemistry: A plan for efficient use of nitrogen
fertilizers, Nature, 543, 322–323, https://doi.org/10.1038/543322a, 2017.
Zhang, X., Davidson, E. A., Mauzerall, D. L., Searchinger, T. D., Dumas, P.,
and Shen, Y.: Managing nitrogen for sustainable development, Nature, 528,
51–59, https://doi.org/10.1038/nature15743, 2015.
Zhao, Y., Zhang, L., Tai, A. P. K., Chen, Y., and Pan, Y.: Responses of surface ozone air quality to anthropogenic nitrogen deposition in the Northern Hemisphere, Atmos. Chem. Phys., 17, 9781–9796, https://doi.org/10.5194/acp-17-9781-2017, 2017.
Zhou, S. S., Tai, A. P. K., Sun, S., Sadiq, M., Heald, C. L., and Geddes, J. A.: Coupling between surface ozone and leaf area index in a chemical transport model: strength of feedback and implications for ozone air quality and vegetation health, Atmos. Chem. Phys., 18, 14133–14148, https://doi.org/10.5194/acp-18-14133-2018, 2018.
Zhu, L., Henze, D., Bash, J., Jeong, G.-R., Cady-Pereira, K., Shephard, M., Luo, M., Paulot, F., and Capps, S.: Global evaluation of ammonia bidirectional exchange and livestock diurnal variation schemes, Atmos. Chem. Phys., 15, 12823–12843, https://doi.org/10.5194/acp-15-12823-2015, 2015.
Short summary
With the rising food need, more intense agricultural activities will cause substantial perturbations to the nitrogen cycle, aggravating surface air pollution and imposing stress on terrestrial ecosystems. We studied how these ecosystem changes may modify biosphere–atmosphere exchanges, and further exert secondary effects on air quality, and demonstrated a link between agricultural activities and ozone air quality via the modulation of vegetation and soil biogeochemistry by nitrogen deposition.
With the rising food need, more intense agricultural activities will cause substantial...
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