Comparison of CH4 Emission Figures in Closed Chamber and IPCC Measurements in Rice Fields (Oryza sativa L.) with Different Flooding Rates

  • Celline Julita Universitas Sumatera Utara
  • T Sabrina Universitas Sumatera Utara - Jl. Prof. A. Sofyan No. 3. Kampus USU, Medan, Sumatera Utara, Indonesia
  • Zulkifli Nasution Universitas Sumatera Utara - Jl. Prof. A. Sofyan No. 3. Kampus USU, Medan, Sumatera Utara, Indonesia
Keywords: Closed chamber, methane, irrigation, ipcc, rice fields

Abstract

Greenhouse gas emissions CH₄ from paddy fields vary under different flooding systems and are often not fully represented by IPCC estimates. This study compared IPCC calculations with direct field measurements using the Closed Chamber and titration methods to obtain more accurate local emission values. The research was conducted in Tanjung Morawa District, Deli Serdang Regency (July–October 2025) using a survey method with purposive random sampling based on flooding systems (continuous flooding and intermittent irrigation). Emissions were observed across vegetative, generative, and harvest phases. The IPCC method produces CH₄ emission estimates that are approximately 1,39 times higher than those obtained using the closed chamber method. These discrepancies arise from the distinct approaches of the two methods: the IPCC method relies on standardized emission factors, resulting in more conservative estimates, while the closed chamber method measures fluxes directly at specific moments, making it more sensitive to daily field variations. During the generative phase, continuously flooded systems generate higher CH₄ emissions, whereas intermittent irrigation systems tend to reduce CH₄ release. This study provides locally validated CH₄ emission data that better represent actual field conditions and improve the accuracy of regional greenhouse gas inventories compared to default IPCC factors. Phase-based observations enhance understanding of temporal emission dynamics in rice cultivation. The findings recommend intermittent irrigation as an effective mitigation strategy to reduce CH₄ emissions, particularly during the generative phase, and encourage the integration of local field measurements into greenhouse gas reporting to support more accurate climate mitigation planning.

Downloads

Download data is not yet available.

References

Ariani, M., Kartikawati, R., & Setyanto, P. (2011). Emisi nitro oksida (N₂O) pada sistem pengelolaan tanaman di lahan sawah tadah hujan. Jurnal Tanah dan Iklim, 34, 33–39.

Arouna, A., Aboudou, R., & Ndindeng, S. A. (2023). The adoption and impacts of improved parboiling technology for rice value chain upgrading on the livelihood of women rice parboilers in Benin. Frontiers in Sustainable Food Systems, 7, Article 1066418. https://doi.org/10.3389/fsufs.2023.1066418

Chaichana, N., Bellingrath-Kimura, S. D., Komiya, S., Fujii, Y., Noborio, K., Dietrich, O., & Pakoktom, T. (2018). Comparison of closed chamber and eddy covariance methods to improve the understanding of methane fluxes from rice paddy fields. Atmosphere, 9(9), 356. https://doi.org/10.3390/atmos9090356

Chen, Y., Guo, W., Ngo, H. H., Wei, W., Ding, A., Ni, B., & Zhang, H. (2024). Ways to mitigate greenhouse gas production from rice cultivation. Journal of Environmental Management, 368, Article 122139. https://doi.org/10.1016/j.jenvman.2024.122139

Conrad, R. (2020). Methane production in soil environments: Anaerobic biogeochemistry and microbial life between flooding and desiccation. Microorganisms, 8(6), 881. https://doi.org/10.3390/microorganisms8060881

Djaja, I., & Passali, D. A. (2023). Estimation of greenhouse gases in the agricultural sector at rice land of the central food production zones in Merauke Regency. In E3S Web of Conferences (Vol. 448, Article 03015). EDP Sciences. https://doi.org/10.1051/e3sconf/202344803015

Dudung, D., Abbas, B., Martanto, E. A., Tjolly, I., Widayati, T. W., Iyai, D. A., Supriyantono, A., & Bawole, R. (2023). Estimation of greenhouse gases in rice fields and plantations in Teluk Bintuni Regency, West Papua. IOP Conference Series: Earth and Environmental Science, 1192(1), Article 012012. https://doi.org/10.1088/1755-1315/1192/1/012012

Fang, K., Yi, X., Dai, W., Gao, H., & Cao, L. (2019). Effects of integrated rice-frog farming on paddy field greenhouse gas emissions. International Journal of Environmental Research and Public Health, 16(11), 1930. https://doi.org/10.3390/ijerph16111930

Gallubally, I. E. (2000). Good practice guidance and uncertainty management in national greenhouse gas inventories: Recent developments.

Jahangir, M. M. R., Aguilera, E., Ferdous, J., Mahjabin, F., Al Asif, A., Ahmad, H., Bauer, M., Sanz-Cobeña, A., Müller, C., & Zaman, M. (2023). Carbon footprint and greenhouse gas emissions from rice-based agricultural systems calculated with a co-designed carbon footprint calculation tool. Biogeosciences Discussions, 1–31. https://doi.org/10.5194/bg-2023-165

Jiang, Y., Qian, H., Huang, S., Zhang, X., Wang, L., Zhang, L., & Zhang, W. (2019). Acclimation of methane emissions from rice paddy fields to straw addition. Science Advances, 5(1), eaau9038. https://doi.org/10.1126/sciadv.aau9038

Khatibi, S. M. H., Adviento-Borbe, M. A., Dimaano, N. G., Radanielson, A. M., & Ali, J. (2025). Advanced technologies for reducing greenhouse gas emissions from rice fields: Is hybrid rice the game changer? Plant Communications, 6(2), 1–23. https://doi.org/10.1016/j.xplc.2024.101224

Lim, J. Y., Cho, S. R., Kim, G. W., Kim, P. J., & Jeong, S. T. (2021). Uncertainty of methane emissions coming from the physical volume of plant biomass inside the closed chamber was negligible during cropping period. PLoS ONE, 16(9), e0256796. https://doi.org/10.1371/journal.pone.0256796

Mazengo, T. E. R., Zhong, X., Liu, X., Mwema, M. F., & Gill, R. (2024). Non-flow-through static (closed chamber) method for sampling of greenhouse gases in crop production systems. Frontiers in Agronomy, 6, Article 1464495. https://doi.org/10.3389/fagro.2024.1464495

Nikolaisen, M., Hillier, J., Smith, P., & Nayak, D. (2023). Modelling CH₄ emission from rice ecosystem: A comparison between existing empirical models. Frontiers in Agronomy, 4, Article 1058649. https://doi.org/10.3389/fagro.2022.1058649

Oo, A. Z., Sudo, S., Inubushi, K., Chellappan, U., Yamamoto, A., Ono, K., Mano, M., Hayashida, S., Koothan, V., Osawa, T., Terao, Y., Palanisamy, J., Palanisamy, E., & Venkatachalam, R. (2018). Mitigation potential and yield-scaled global warming potential of early-season drainage from a rice paddy in Tamil Nadu, India. Agronomy, 8(10), 202. https://doi.org/10.3390/agronomy8100202

Qian, H., Jin, Y., Chen, J., Huang, S., Liu, Y., Zhang, J., Deng, A., Zou, J., Pan, G., Ding, Y., & Jiang, Y. (2022). Acclimation of CH₄ emissions from paddy soil to atmospheric CO₂ enrichment in a growth chamber experiment. The Crop Journal, 10(1), 140–146. https://doi.org/10.1016/j.cj.2021.03.017

Rajendran, S., Park, H., Kim, J., Park, S. J., Shin, D., Lee, J. H., & Kim, C. M. (2024). Methane emission from rice fields: Necessity for molecular approach for mitigation. Rice Science, 31(2), 159–178. https://doi.org/10.1016/j.rsci.2023.10.003

Rashid, M. A., Jumat, F., Rahman, M. H. B. A., Bastami, M. S. B., Saad, M. B. M., Misman, S. N. B., & Talib, S. A. B. A. (2024). Plant physiological performances, plant growth, grain yield and methane emission of rice (Oryza sativa L.) in response to water management as adaptation strategy for climate change. Asian Journal of Agricultural and Horticultural Research, 11(1), 68–79. https://doi.org/10.9734/AJAHR/2024/V11I1306

Senthilraja, K., Venkatesan, S., Udhaya Nandhini, D., Dhasarathan, M., Prabha, B., Boomiraj, K., Mohan Kumar, S., Bhuvaneswari, K., Raveendran, M., & Geethalakshmi, V. (2023). Mitigating methane emission from the rice ecosystem through organic amendments. Agriculture, 13(5), 1037. https://doi.org/10.3390/agriculture13051037

Win, E. P., Win, K. K., Bellingrath-Kimura, S. D., & Oo, A. Z. (2021). Greenhouse gas emissions, grain yield and water productivity: A paddy rice field case study based in Myanmar. Greenhouse Gases: Science and Technology, 10(5), 884–897. https://doi.org/10.1002/ghg.2011

Win, E. P., Win, K. K., Bellingrath-Kimura, S. D., & Oo, A. Z. (2022). Correction: Influence of rice varieties, organic manure and water management on greenhouse gas emissions from paddy rice soils. PLoS ONE, 17(1), e0263554. https://doi.org/10.1371/journal.pone.0263554

Published
2026-05-01
How to Cite
Julita, C., T Sabrina, & Nasution, Z. (2026). Comparison of CH4 Emission Figures in Closed Chamber and IPCC Measurements in Rice Fields (Oryza sativa L.) with Different Flooding Rates . JURNAL AGRONOMI TANAMAN TROPIKA (JUATIKA), 8(2), 504 -. https://doi.org/10.36378/juatika.v8i2.5249
Abstract viewed = 0 times
PDF downloaded = 0 times