Articles | Volume 18, issue 14
Atmos. Chem. Phys., 18, 10419–10431, 2018
https://doi.org/10.5194/acp-18-10419-2018
Atmos. Chem. Phys., 18, 10419–10431, 2018
https://doi.org/10.5194/acp-18-10419-2018

Research article 23 Jul 2018

Research article | 23 Jul 2018

Controlling variables and emission factors of methane from global rice fields

Jinyang Wang et al.

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Cited articles

Aulakh, M. S., Wassmann, R., and Rennenberg, H.: Methane emissions from rice fields – quantification, mechanisms, role of management, and mitigation options, Adv. Agron., 70, 193–260, https://doi.org/10.1016/S0065-2113(01)70006-5, 2001.
Banger, K., Tian, H., and Lu, C.: Do nitrogen fertilizers stimulate or inhibit methane emissions from rice fields?, Global Change Biol., 18, 3259–3267, https://doi.org/10.1111/j.1365-2486.2012.02762.x, 2012.
Biennial Updated Report of Viet Nam: The Initial Biennial Updated Report of Viet Nam to the United Nations Framework Convention on Climate Change, available at: http://unfccc.int/national_reports/non-annex_i_natcom/items/10124.php (last access: 1 November 2017), 2014.
Bouwman, A. F., Boumans, L. J. M., and Batjes, N. H.: Modeling global annual N2O and NO emissions from fertilized fields, Global Biogeochem. Cy., 16, 1080, https://doi.org/10.1029/2001GB001812, 2002.
Cheng, K., Ogle, S. M., Parton, W. J., and Pan, G.: Simulating greenhouse gas mitigation potentials for Chinese Croplands using the DAYCENT ecosystem model, Global Change Biol., 20, 948–962, https://doi.org/10.1111/gcb.12368, 2014.
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Through reassessing the controlling variables and emission factors (EFs) of CH4 on a global scale, we find that the global default EF of CH4 is lower and has a narrow error range than the previous report. The region/country-specific EFs are for the first time developed. The findings of major controlling variables on CH4 emission may help to devise mitigation strategies at different scales. These default EFs and scaling factors can provide a sound basis for developing national CH4 inventories.
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