Modelling impacts of alternative farming management practices on greenhouse gas emissions from a winter wheat–maize rotation system in China

Li, Hu; Qiu, Jianjun; Wang, Ligang; Tang, Huajun; Li, Changsheng; Ranst, Éric Van

doi:10.1016/j.agee.2009.08.003

Cited by 157 publications

(76 citation statements)

References 25 publications

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“…For this research which focused on an arid region, the CH 4 oxidation rate was negligible in comparison with the CO 2 and N 2 O fluxes from the agricultural soil (Li et al, 2010a).…”

Section: Long-term Impacts Of Management Practicesmentioning

confidence: 95%

“…The N 2 O concentration of each sample was quantified against the concentration of the calibration gas. The N 2 O emission flux (F ) was calculated with the equation as follows (Li et al, 2010a):…”

Section: Field Site and Measurementmentioning

confidence: 99%

“…Globally speaking, since the industrial revolution the contents of the atmospheric CO 2 , CH 4 and N 2 O increased 100 ppm, 1000 ppb, 50 ppb, respectively (IPCC, 2007b;Lal, 2004;Mosier et al, 1998). Since the study area of this research is situated in an arid region where soil CH 4 oxidation rate was negligible (Li et al, 2010a), our following discussion thus only focuses on soil N 2 O and CO 2 emissions. Soil N 2 O comes from two processes in soil: nitrification and denitrification, and these two processes can be affected by climate changes and agricultural activities.…”

Section: Introductionmentioning

confidence: 99%

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Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

et al. 2011

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Abstract. Agricultural ecosystems are major sources of greenhouse gas (GHG) emissions, specifically nitrous oxide (N 2 O) and carbon dioxide (CO 2 ). An important method of investigating GHG emissions in agricultural ecosystems is model simulation. Field measurements quantifying N 2 O and CO 2 fluxes were taken in a summer maize ecosystem in Zhangye City, Gansu Province, in northwestern China in 2010. Observed N 2 O and CO 2 fluxes were used for validating flux predictions by a DeNitrification-DeComposition (DNDC) model. Then sensitivity tests on the validated DNDC model were carried out on three variables: climatic factors, soil properties and agricultural management. Results indicated that: (1) the factors that N 2 O emissions were sensitive to included nitrogen fertilizer application rate, manure amendment and residue return rate; (2) CO 2 emission increased with increasing manure amendment, residue return rate and initial soil organic carbon (SOC); and (3) net global warming potential (GWP) increased with increasing N fertilizer application rate and decreased with manure amendment, residue return rate and precipitation increase. Simulation of the long-term impact on SOC, N 2 O and net GWP emissions over 100 yr of management led to the conclusion that increasing residue return rate is a more efficient method of mitigating GHG emission than increasing fertilizer N application rate in the study area.

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“…For this research which focused on an arid region, the CH 4 oxidation rate was negligible in comparison with the CO 2 and N 2 O fluxes from the agricultural soil (Li et al, 2010a).…”

Section: Long-term Impacts Of Management Practicesmentioning

confidence: 95%

Section: Field Site and Measurementmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

et al. 2011

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“…These scenarios are no-till, increased crop residue incorporation, and reduced fertilizer application rate, from a winter wheat-maize rotation field, which is a common cropping system across the Chinese agricultural regions (Li et al, 2010). Several 50-year scenarios were simulated to predict the long-term impacts on crop yield.…”

Section: Sistemas De Cultivomentioning

confidence: 99%

“…Estos escenarios incluyen suelos sin labranza, aumento de la incorporación de residuos de cosecha, y reducción de la tasa de aplicación de fertilizantes de un campo de rotación trigo-maíz en invierno-un sistema de cultivo común en China- (Li et al, 2010). Algunos escenarios se simularon a 50 años para predecir el impacto ambiental en el largo plazo sobre el rendimiento del cultivo.…”

Section: Sistemas De Cultivounclassified

Evaluating Carbon Footprint Behavior in the Agriculture and Energy Sectors: A Review

et al. 2014

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Since the pre-industrial era, emissions of greenhouse gases have increased by about 70%, given anthropogenic activities. Thus, System Dynamics represents a fundamental tool that makes it possible to adopt a systemic-complex approach to the research process of modeling the behavior of these gases in different sectors. This paper presents a literature review about related case studies, mainly in the agriculture and energy sectors. By virtue of these models, it is feasible to identify alternative scenarios for a carbon footprint indicator in order to support strategic decision-making in secure environments at low risk, cost, and time. This review emphasizes the significance of modeling the carbon footprint behavior as a complex dynamic system mainly focused on the agriculture sector, which contributes 38.1% of greenhouse gas emissions to the atmosphere. Finally, it concludes with a future research project to deploy it in a sugarcane cropping system, one of the most important agro-industrial producers in Colombia.

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Assessing the impacts of tillage and fertilization management on nitrous oxide emissions in a cornfield using the DNDC model

et al. 2016

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Quantification and prediction of N2O emissions from croplands under different agricultural management practices are vital for sustainable agriculture and climate change mitigation. We simulated N2O emissions under tillage and no‐tillage,and different nitrogen (N) fertilizer types and application methods (i.e., nitrification inhibitor, chicken manure, and split applications) in a cornfield using the DeNitrification‐DeComposition (DNDC) model. The model was parameterized with field experimental data collected in Nashville, Tennessee, under various agricultural management treatments and run for a short term (3 years) and a long term (100 years). Results showed that the DNDC model could adequately simulate N2O emissions as well as soil properties under different agricultural management practices. The modeled emissions of N2O significantly increased by 35% with tillage, and decreased by 24% with the use of nitrification inhibitor, compared with no‐tillage and normal N fertilization. Chicken manure amendment and split applications of N fertilizer had minor impact on N2O emission in a short term, but over a long term (100 years) the treatments significantly altered N2O emission (+35%, −10%, respectively). Sensitivity analysis showed that N2O emission was sensitive to mean annual precipitation, mean annual temperature, soil organic carbon, and the amount of total N fertilizer application. Our model results provide valuable information for determining agricultural best management practice to maintain highly productive corn yield while reducing greenhouse gas emissions.

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Modelling impacts of alternative farming management practices on greenhouse gas emissions from a winter wheat–maize rotation system in China

Cited by 157 publications

References 25 publications

Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

Modeling impacts of farming management practices on greenhouse gas emissions in the oasis region of China

Evaluating Carbon Footprint Behavior in the Agriculture and Energy Sectors: A Review

Assessing the impacts of tillage and fertilization management on nitrous oxide emissions in a cornfield using the DNDC model

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