Articles | Volume 14, issue 1
Biogeosciences, 14, 163–176, 2017
Biogeosciences, 14, 163–176, 2017
Research article
12 Jan 2017
Research article | 12 Jan 2017

Uncertainties in the national inventory of methane emissions from rice cultivation: field measurements and modeling approaches

Wen Zhang et al.

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Cited articles

Aulakh, M., Wassmann, R., and Rennenberg, H.: Pattern and amount of aerenchyma relate to variable methane transport capacity of different rice cultivars, Plant Biol., 2, 182–194, 2008.
Bachelet, D. and Neue, H.: Methane emissions from wetland rice areas of Asia, Chemosphere, 26, 219–237, 1993.
Bachelet, D., Kern, J., and Toelg, M.: Balancing the rice carbon budget in China using spatially-distributed data, Ecol. Model., 79, 167–177, 1995.
Banger, K., Tian, H., and Lu, C.: Do nitrogen fertilizers stimulate or inhibit methane emissions from rice fields?, Glob. Change Biol., 18, 3259–3267, 2012.
Bhatia, A., Ghosh, A., Kumar, V., Tomer, R., Singh, S., and Pathak, H.: Effect of elevated tropospheric ozone on methane and nitrous oxide emission from rice soil in north India, Agr. Ecosyst. Environ., 144, 21–28, 2011.
Short summary
Regional estimated uncertainties originate from methodological failures, errors, and supporting data insufficiency. A case study showed that the fallacy of the CH4MOD contributed 56.6 % to the uncertainty of a national inventory, with the remaining 43.4 % attributed to the scarcity of model inputs. We also revealed a dilemma between model performance and data availability: a model with better performance may reduce uncertainty from model fallacy but increases the uncertainty from data scarcity.
Final-revised paper