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Quantifying greenhouse gas emissions in agricultural systems: a comparative analysis of process models

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  • Tang, Yujie
  • Qiao, Yunfa
  • Ma, Yinzheng
  • Huang, Weiliang
  • Komal, Khan
  • Miao, Shujie

Abstract

Agricultural ecosystems have long been recognized as significant greenhouse gas (GHG) sources. To accurately quantify GHG emissions, researchers have developed various process models. However, there are no summary studies of comparative model simulations of GHG emissions from different crop systems. This study compared four widely used process models: APSIM, DNDC, DayCent, and STICS, analyzing their mechanisms, input variables, and simulation results from different crops in simulating GHG emissions. In this study, a total of 94 relevant peer-review literature papers were considered. The research found that these models have strengths in simulating GHG emissions from different crops, but also have certain limitations. DNDC and DayCent performed better in simulating methane (CH4) emissions from rice, while APSIM was more effective in simulating nitrous oxide (N2O) emissions from maize and wheat. The main factors affecting the simulation results include model mechanisms, management practices, climate, and data availability. To improve model accuracy, it is recommended that future research expands model applicability, evaluates models using standardized measured data, and enhances adaptability by optimizing algorithms and incorporating simulations of key processes.

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  • Tang, Yujie & Qiao, Yunfa & Ma, Yinzheng & Huang, Weiliang & Komal, Khan & Miao, Shujie, 2024. "Quantifying greenhouse gas emissions in agricultural systems: a comparative analysis of process models," Ecological Modelling, Elsevier, vol. 490(C).
    • Handle: RePEc:eee:ecomod:v:490:y:2024:i:c:s0304380024000358
    DOI: 10.1016/j.ecolmodel.2024.110646
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    References listed on IDEAS

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    1. Zhang, Hongyuan & Batchelor, William D. & Hu, Kelin & Liang, Hao & Han, Hui & Li, Ji, 2022. "Simulation of N2O emissions from greenhouse vegetable production under different management systems in North China," Ecological Modelling, Elsevier, vol. 470(C).
    2. Andrew D. Moore & Richard J. Eckard & Peter J. Thorburn & Peter R. Grace & Enli Wang & Deli Chen, 2014. "Mathematical modeling for improved greenhouse gas balances, agro‐ecosystems, and policy development: lessons from the Australian experience," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 5(6), pages 735-752, November.
    3. Liao, Kaihua & Lv, Ligang & Lai, Xiaoming & Zhu, Qing, 2021. "Toward a framework for the multimodel ensemble prediction of soil nitrogen losses," Ecological Modelling, Elsevier, vol. 456(C).
    4. Hochman, Zvi & Horan, Heidi & Reddy, D. Raji & Sreenivas, G. & Tallapragada, Chiranjeevi & Adusumilli, Ravindra & Gaydon, Donald S. & Laing, Alison & Kokic, Philip & Singh, Kamalesh K. & Roth, Christi, 2017. "Smallholder farmers managing climate risk in India: 2. Is it climate-smart?," Agricultural Systems, Elsevier, vol. 151(C), pages 61-72.
    5. Gilhespy, Sarah L. & Anthony, Steven & Cardenas, Laura & Chadwick, David & del Prado, Agustin & Li, Changsheng & Misselbrook, Thomas & Rees, Robert M. & Salas, William & Sanz-Cobena, Alberto & Smith, , 2014. "First 20 years of DNDC (DeNitrification DeComposition): Model evolution," Ecological Modelling, Elsevier, vol. 292(C), pages 51-62.
    6. Jianzheng Li & Zhongkui Luo & Yingchun Wang & Hu Li & Hongtao Xing & Ligang Wang & Enli Wang & Hui Xu & Chunyu Gao & Tianzhi Ren, 2019. "Optimizing Nitrogen and Residue Management to Reduce GHG Emissions while Maintaining Crop Yield: A Case Study in a Mono-Cropping System of Northeast China," Sustainability, MDPI, vol. 11(18), pages 1-16, September.
    7. Gevan D. Behnke & Cameron M. Pittelkow & Emerson D. Nafziger & María B. Villamil, 2018. "Exploring the Relationships between Greenhouse Gas Emissions, Yields, and Soil Properties in Cropping Systems," Agriculture, MDPI, vol. 8(5), pages 1-26, April.
    8. Stockle, Claudio O. & Martin, Steve A. & Campbell, Gaylon S., 1994. "CropSyst, a cropping systems simulation model: Water/nitrogen budgets and crop yield," Agricultural Systems, Elsevier, vol. 46(3), pages 335-359.
    9. Cheng, Kun & Ogle, Stephen M. & Parton, William J. & Pan, Genxing, 2013. "Predicting methanogenesis from rice paddies using the DAYCENT ecosystem model," Ecological Modelling, Elsevier, vol. 261, pages 19-31.
    10. Probert, M. E. & Dimes, J. P. & Keating, B. A. & Dalal, R. C. & Strong, W. M., 1998. "APSIM's water and nitrogen modules and simulation of the dynamics of water and nitrogen in fallow systems," Agricultural Systems, Elsevier, vol. 56(1), pages 1-28, January.
    11. He, Qinsi & Liu, De Li & Wang, Bin & Li, Linchao & Cowie, Annette & Simmons, Aaron & Zhou, Hongxu & Tian, Qi & Li, Sien & Li, Yi & Liu, Ke & Yan, Haoliang & Harrison, Matthew Tom & Feng, Puyu & Waters, 2022. "Identifying effective agricultural management practices for climate change adaptation and mitigation: A win-win strategy in South-Eastern Australia," Agricultural Systems, Elsevier, vol. 203(C).
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