Modelling methane emissions and grain yields for a double-rice system in Southern China with DAYCENT and DNDC models

Guo, Yang; Zhang, Guangbin; Abdalla, Mohamed; Bao, Haijun; Xu, Hui; Ma, Jing; Begum, Khadiza; Smith, Pete

doi:10.1016/j.geoderma.2023.116364

Cited by 5 publications

(4 citation statements)

References 43 publications

(95 reference statements)

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“…Existing studies on agricultural carbon emissions have been conducted from the perspectives of source analysis, quantity measurement, driving factor assessment, etc. The main sources of agricultural carbon emissions are agricultural inputs (e.g., chemical fertilizers, pesticides, agricultural film, and agricultural diesel), methane from rice cultivation areas, animal intestinal fermentation, and tillage [71][72][73][74][75]. Agricultural carbon sinks mainly originate from the increase in the soil carbon pool caused by fertilizer input, straw returned to fields, and no-tillage measures [37].…”

Section: Food-carbon Relationshipmentioning

confidence: 99%

“…Mismatches between food production and consumption can also cause cropland soil erosion aggravation [29]. Carbon emissions are discharged through crop production processes, including chemical fertilizer and pesticide application, agricultural machinery use, water intake, pumping, irrigation, land tillage, and crop respiration [71][72][73][74][75]88]. Thus, various irrigation and tillage methods and agronomic activities can reduce or increase carbon emissions [51,71,72].…”

Section: Framework Of the Agricultural Wlfc Nexusmentioning

confidence: 99%

“…The MAgPIE model is an open-source framework for modelling global landsystems, with a spatial resolution of 0.5°x0.5° [69]. Process-based models such as the Denitrification Decomposition (DNDC) model, Daily Century (DAYCENT) model, and Agricultural Production Systems Simulator (APSIM) model are widely applied in simulating the food-carbon nexus [74,136,137]. These models can be employed to simulate the key physical processes, but the accuracy of the results depends on the precision of the many input parameters.…”

Section: Common Wlfc Nexus Simulation and Optimization Modelsmentioning

confidence: 99%

See 2 more Smart Citations

Review of the Water–Land–Food–Carbon Nexus Focused on Regional Low-Carbon and High-Quality Agricultural Development

Deng,

Xu,

Zhang

et al. 2024

Water

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To overcome the multiple challenges of water scarcity, agricultural land conversion, food security, and carbon emissions, an optimal collaborative management scheme for food production is urgently needed, especially in high food-production and food-consumption countries such as China. The water–land–food–carbon (WLFC) nexus provides a new perspective, but its interactions are complex, dynamic, and spatially heterogeneous; the coupling mechanism is not fully understood; and the driving forces and regulation strategies remain uncertain. Therefore, in this study, the WLFC nexus centered on low-carbon and high-quality agricultural development was systematically reviewed. The main contributions are as follows: (1) A framework of the regional agricultural WLFC nexus was proposed based on bibliographic analysis. (2) The main internal and external factors influencing the WLFC nexus in agriculture were identified by reevaluating meta-analysis review studies. The results showed that changes in the amount and type of irrigation water, the amount and planting activities of agricultural land, and climate change (temperature, precipitation, and CO2 concentration) affected food (rice, wheat, and maize) yields and carbon emissions to varying degrees. Moreover, population, technological innovation, trade, and polices were important external factors impacting food production and carbon emissions. (3) The common methods and tools for assessing, simulating, and optimizing the WLFC nexus in agriculture were summarized from the perspectives of its status, physical links, and embodied links. Integrated indices, complex system thinking, and process-based and data-driven methods were applied in the studies of the WLFC nexus. (4) Strategies and programs for collaborative WLFC management in agriculture within 10 global river basins were compiled. These findings could help us better understand the WLFC nexus in agriculture and identify the optimal cooperative management scheme, thereby realizing low-carbon and high-quality agricultural development.

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Section: Food-carbon Relationshipmentioning

confidence: 99%

Section: Framework Of the Agricultural Wlfc Nexusmentioning

confidence: 99%

Section: Common Wlfc Nexus Simulation and Optimization Modelsmentioning

confidence: 99%

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Review of the Water–Land–Food–Carbon Nexus Focused on Regional Low-Carbon and High-Quality Agricultural Development

Deng,

Xu,

Zhang

et al. 2024

Water

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show abstract

“…Similar weak performance of soil moisture simulations by DNDC were also reported by Abdalla et al (2022Abdalla et al ( , 2020 for double and multiple cropping systems in China. A recent study by Guo et al (2023) investigated CH 4 emissions and grain yield for paddy rice also recommended further improvement of the DNDC. This might be because the original version of DNDC simplifies the flood treatment.…”

Section: Effects Of Biochar and CI On Soil Environment Soc And Rice Y...mentioning

confidence: 99%

Development of Dndc-Bc Model to Estimate Greenhouse Gas Emissions from Rice Paddy Fields Under Combination of Biochar and Controlled Irrigation Management

Jiang,

Yang,

Smith

et al. 2022

SSRN Journal

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Differentiated strategies for synergistic mitigation of ammonia and methane emissions from agricultural cropping systems in China

Li,

Gu,

Zhao

et al. 2024

Agricultural and Forest Meteorology

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Modelling methane emissions and grain yields for a double-rice system in Southern China with DAYCENT and DNDC models

Cited by 5 publications

References 43 publications

Review of the Water–Land–Food–Carbon Nexus Focused on Regional Low-Carbon and High-Quality Agricultural Development

Review of the Water–Land–Food–Carbon Nexus Focused on Regional Low-Carbon and High-Quality Agricultural Development

Development of Dndc-Bc Model to Estimate Greenhouse Gas Emissions from Rice Paddy Fields Under Combination of Biochar and Controlled Irrigation Management

Differentiated strategies for synergistic mitigation of ammonia and methane emissions from agricultural cropping systems in China

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