Optimizing biochar application rate and predicting of climate change impacts on net greenhouse gas emissions in paddy systems using DNDC-BC model

• Controlled irrigation (CI) and biochar mitigate CH 4 , N 2 O, sequestrate carbon in future. • DNDC-BC was used to optimize the biochar application rate under future climates. • The cumulative emissions of CH 4 and N 2 O were significant under RCP8.5. • The biochar amount has a strong positive correlation with SOC and rice yield. • 40 t ha −1 is the optimal biochar application rate for CI paddy fields . The effects of biochar application and controlled irrigation (CI, a water-saving irrigation technique) on greenhouse gas (GHG) emissions, soil organic carbon (SOC), and rice yield from paddy fields under future climate change have not been thoroughly investigated. The purpose of this study was to optimize biochar application rates to minimize net greenhouse gas emissions (NGHGE), sequestered carbon, and increase rice yield. After testing the performance of Denitrification-Decomposition-Biochar-CI (DNDC-BC), based on a two-year field experiment, the biochar application rate was optimized based on the DNDC-BC model and CMIP5 future data after Bayesian Model Averaging. The scenarios under 6 biochar amounts (C0-C50 represent 0 t ha −1 to 50 t ha −1 ) were simulated in the next 17 years (2024–2040), and the NGHGE of each were also assessed. Under the four future climate scenarios, compared with C0, the average non-CO 2 greenhouse gas emissions of C40 decreased by 48.41 %-62.63 % over the next 17 years, while the average SOC and rice yield increased by 14.58 %-21.02 % and 7.58 %-8.76 %, respectively. 40 t ha −1 is the optimal biochar application rate for CI paddy fields in decreasing NGHGE in the Lake Taihu region of China. The biochar amount has a strong positive correlation with SOC and rice yield. This is the first study to optimize the biochar application for mitigating GHG, sequestrating SOC and boosting rice yield in CI paddy fields under future climate change. This study evaluates GHG, SOC, rice yield, and economic benefits of the rice system at the same time, and can be extended to other systems and regional scales.

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Publication Details

Journal
Agricultural and Forest Meteorology
Published
2025-02-21
DOI
https://doi.org/10.1016/j.agrformet.2025.110461
Citations
4
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
7.00

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article

Optimizing biochar application rate and predicting of climate change impacts on net greenhouse gas emissions in paddy systems using DNDC-BC model

Zewei Jiang, Pete Smith, Mohamed Shehata Abdalla, Haonan Qiu et al.
4 citations
Agricultural and Forest Meteorology
Rice Cultivation and Yield Improvement
7.00
article

Optimizing biochar application rate and predicting of climate change impacts on net greenhouse gas emissions in paddy systems using DNDC-BC model

Zewei Jiang, Pete Smith, Mohamed Shehata Abdalla, Haonan Qiu, Shihong Yang, Jiazhen Hu, Qingqing Pang, Suting Qi
article en
4 citations

Abstract

• Controlled irrigation (CI) and biochar mitigate CH 4 , N 2 O, sequestrate carbon in future. • DNDC-BC was used to optimize the biochar application rate under future climates. • The cumulative emissions of CH 4 and N 2 O were significant under RCP8.5. • The biochar amount has a strong positive correlation with SOC and rice yield. • 40 t ha −1 is the optimal biochar application rate for CI paddy fields . The effects of biochar application and controlled irrigation (CI, a water-saving irrigation technique) on greenhouse gas (GHG) emissions, soil organic carbon (SOC), and rice yield from paddy fields under future climate change have not been thoroughly investigated. The purpose of this study was to optimize biochar application rates to minimize net greenhouse gas emissions (NGHGE), sequestered carbon, and increase rice yield. After testing the performance of Denitrification-Decomposition-Biochar-CI (DNDC-BC), based on a two-year field experiment, the biochar application rate was optimized based on the DNDC-BC model and CMIP5 future data after Bayesian Model Averaging. The scenarios under 6 biochar amounts (C0-C50 represent 0 t ha −1 to 50 t ha −1 ) were simulated in the next 17 years (2024–2040), and the NGHGE of each were also assessed. Under the four future climate scenarios, compared with C0, the average non-CO 2 greenhouse gas emissions of C40 decreased by 48.41 %-62.63 % over the next 17 years, while the average SOC and rice yield increased by 14.58 %-21.02 % and 7.58 %-8.76 %, respectively. 40 t ha −1 is the optimal biochar application rate for CI paddy fields in decreasing NGHGE in the Lake Taihu region of China. The biochar amount has a strong positive correlation with SOC and rice yield. This is the first study to optimize the biochar application for mitigating GHG, sequestrating SOC and boosting rice yield in CI paddy fields under future climate change. This study evaluates GHG, SOC, rice yield, and economic benefits of the rice system at the same time, and can be extended to other systems and regional scales.

Agricultural and Forest MeteorologyVol. 364
Hohai University (CN), University of Aberdeen (GB), Ministry of Ecology and Environment (CN), State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN), Nanjing Institute of Environmental Sciences (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 4%
Rice Cultivation and Yield Improvement
7.00
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