Articles | Volume 14, issue 1
https://doi.org/10.5194/bg-14-163-2017
https://doi.org/10.5194/bg-14-163-2017
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, Wenjuan Sun, and Tingting Li

Related authors

Spatiotemporal variations in atmospheric CH4 concentrations and enhancements in northern China based on a comprehensive dataset: Ground-based observations, TROPOMI data, inventory data and inversions
Pengfei Han, Ning Zeng, Bo Yao, Wen Zhang, Weijun Quan, Pucai Wang, Ting Wang, Minqiang Zhou, Qixiang Cai, Yuzhong Zhang, Ruosi Liang, Wanqi Sun, and Shengxiang Liu
EGUsphere, https://doi.org/10.5194/egusphere-2024-2162,https://doi.org/10.5194/egusphere-2024-2162, 2024
Short summary
On the magnitude and uncertainties of global and regional soil organic carbon: A comparative analysis using multiple estimates
Ziqi Lin, Yongjiu Dai, Umakant Mishra, Guocheng Wang, Wei Shangguan, Wen Zhang, and Zhangcai Qin
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2022-232,https://doi.org/10.5194/essd-2022-232, 2022
Manuscript not accepted for further review
Short summary
A comparative study of anthropogenic CH4 emissions over China based on the ensembles of bottom-up inventories
Xiaohui Lin, Wen Zhang, Monica Crippa, Shushi Peng, Pengfei Han, Ning Zeng, Lijun Yu, and Guocheng Wang
Earth Syst. Sci. Data, 13, 1073–1088, https://doi.org/10.5194/essd-13-1073-2021,https://doi.org/10.5194/essd-13-1073-2021, 2021
Short summary
Simulating the spatiotemporal variations in aboveground biomass in Inner Mongolian grasslands under environmental changes
Guocheng Wang, Zhongkui Luo, Yao Huang, Wenjuan Sun, Yurong Wei, Liujun Xiao, Xi Deng, Jinhuan Zhu, Tingting Li, and Wen Zhang
Atmos. Chem. Phys., 21, 3059–3071, https://doi.org/10.5194/acp-21-3059-2021,https://doi.org/10.5194/acp-21-3059-2021, 2021
Short summary
Evaluation of CH4MODwetland and Terrestrial Ecosystem Model (TEM) used to estimate global CH4 emissions from natural wetlands
Tingting Li, Yanyu Lu, Lingfei Yu, Wenjuan Sun, Qing Zhang, Wen Zhang, Guocheng Wang, Zhangcai Qin, Lijun Yu, Hailing Li, and Ran Zhang
Geosci. Model Dev., 13, 3769–3788, https://doi.org/10.5194/gmd-13-3769-2020,https://doi.org/10.5194/gmd-13-3769-2020, 2020
Short summary

Related subject area

Biogeochemistry: Greenhouse Gases
Eddy covariance evaluation of ecosystem fluxes at a temperate saltmarsh in Victoria, Australia, shows large CO2 uptake
Ruth Reef, Edoardo Daly, Tivanka Anandappa, Eboni-Jane Vienna-Hallam, Harriet Robertson, Matthew Peck, and Adrien Guyot
Biogeosciences, 22, 1149–1162, https://doi.org/10.5194/bg-22-1149-2025,https://doi.org/10.5194/bg-22-1149-2025, 2025
Short summary
Interferences caused by the biogeochemical methane cycle in peats during the assessment of abandoned oil wells
Sebastian F. A. Jordan, Stefan Schloemer, Martin Krüger, Tanja Heffner, Marcus A. Horn, and Martin Blumenberg
Biogeosciences, 22, 809–830, https://doi.org/10.5194/bg-22-809-2025,https://doi.org/10.5194/bg-22-809-2025, 2025
Short summary
Carbon sequestration in different urban vegetation types in Southern Finland
Laura Thölix, Leif Backman, Minttu Havu, Esko Karvinen, Jesse Soininen, Justine Trémeau, Olli Nevalainen, Joyson Ahongshangbam, Leena Järvi, and Liisa Kulmala
Biogeosciences, 22, 725–749, https://doi.org/10.5194/bg-22-725-2025,https://doi.org/10.5194/bg-22-725-2025, 2025
Short summary
Proglacial methane emissions driven by meltwater and groundwater flushing in a high-Arctic glacial catchment
Gabrielle E. Kleber, Leonard Magerl, Alexandra V. Turchyn, Stefan Schloemer, Mark Trimmer, Yizhu Zhu, and Andrew Hodson
Biogeosciences, 22, 659–674, https://doi.org/10.5194/bg-22-659-2025,https://doi.org/10.5194/bg-22-659-2025, 2025
Short summary
Seasonal and interannual variability in CO2 fluxes in southern Africa seen by GOSAT
Eva-Marie Metz, Sanam Noreen Vardag, Sourish Basu, Martin Jung, and André Butz
Biogeosciences, 22, 555–584, https://doi.org/10.5194/bg-22-555-2025,https://doi.org/10.5194/bg-22-555-2025, 2025
Short summary

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.
Download
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.
Share
Altmetrics
Final-revised paper
Preprint