Estimates of N2O Emissions and Mitigation Potential from a Spring Maize Field Based on DNDC Model

An experiment was conducted to explore the integrated evaluation on soil nutrients in spring maize field subjected to limited irrigation (LI) in oasis region. The soil organic matter (SOM), soil total and available nitrogen (STN and SAN) and phosphorus (STP and SAP), and soil available potassium (SAK) in 0~40 cm increment at harvest of maize subjected to LI were selected as the evaluation factors to calculate the weighing coefficient of each soil nutrient and the IEI for soil nutrients using the membership function in fuzzy mathematics. At maize harvest, differences were not significant (p>0.05) in SOM, STN, STP, SAP, and SAK within 0~40 cm increment among treatments and CK, but significant difference (p<0.05) was found in SAN, with the maximum SAN maintained in MI5, which was respectively 187.3%, 96.8%, and 41.2% higher over MI2 valued the minimum, MI1, and CK. The IEI was improved by 12.4% to 22.3% in all the other treatments and CK compared to the minimum marked in MI4, with the maximum valued in MI3 treatments. Therefore, after one year experiment, the optimized irrigation management was maintained in MI3 treatment due to its maximum IEI in all the LI regimes.

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Simulation of NO and N2O emissions from a spruce forest during a freeze/thaw event using an N-flux submodel from the PnET-N-DNDC model integrated to CoupModel

Ecological Modelling ◽

10.1016/j.ecolmodel.2008.04.012 ◽

2008 ◽

Vol 216 (1) ◽

pp. 18-30 ◽

Cited By ~ 34

Author(s):

Josefine Norman ◽

Per-Erik Jansson ◽

Neda Farahbakhshazad ◽

Klaus Butterbach-Bahl ◽

Changsheng Li ◽

...

Keyword(s):

N2o Emissions ◽

Spruce Forest ◽

Dndc Model ◽

Freeze Thaw ◽

N Flux

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Mitigation of CO2 and N2O Emission from Cabbage Fields in Korea by Optimizing Tillage Depth and N-Fertilizer Level: DNDC Model Simulation under RCP 8.5 Scenario

Sustainability ◽

10.3390/su11216158 ◽

2019 ◽

Vol 11 (21) ◽

pp. 6158 ◽

Cited By ~ 2

Author(s):

Wonjae Hwang ◽

Minseok Park ◽

Kijong Cho ◽

Jeong-Gyu Kim ◽

Seunghun Hyun

Keyword(s):

Model Simulation ◽

Supply And Demand ◽

N2o Emission ◽

Economic Losses ◽

Change Scenario ◽

N2o Emissions ◽

Low Carbon ◽

Farming Practices ◽

Dndc Model ◽

Tillage Depth

In this study, we applied the Denitrification and Decomposition model to predict the greenhouse gas (GHGs; CO2 and N2O) emissions and cabbage yields from 8072 cabbage fields in Korea in the 2020s and 2090s. Model outputs were evaluated as a function of tillage depth (T1, T2, and T3 for 10, 20, and 30 cm) and fertilizer level (F1, F2, and F3 for 100, 200, and 400 kg N ha−1) under the Representative Concentration Pathways 8.5 climate change scenario. For both time periods, CO2 emissions increased with tillage depth, and N2O emissions were predominantly influenced by the level of applied N-fertilizers. Both cabbage yields and GHGs fluxes were highest when the T3F3 farming practice was applied. Under current conventional farming practices (T1F3), cabbage yield was projected at 64.5 t ha−1 in the 2020s, which was close in magnitude to the predicted cabbage demand. In the 2090s, the predicted cabbage supply by the same practice far exceeded the projected demand at 28.9 t ha−1. Cabbage supply and demand were balanced and GHGs emissions reduced by 19.6% in the 2090s when 94% of the total cabbage farms adopted low carbon-farming practices (e.g., reducing fertilizer level). Our results demonstrate the large potential for Korean cabbage farms to significantly contribute towards the mitigation of GHGs emissions through the adoption of low-carbon farming practices. However, in order to incentivize the shift towards sustainable farming, we advise that lower yield and potential economic losses in farmlands from adopting low-carbon practices should be appropriately compensated by institutional policy.

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Assessing nitrous oxide and nitrate leaching mitigation potential in US corn crop systems using the DNDC model

Agricultural Systems ◽

10.1016/j.agsy.2019.05.005 ◽

2019 ◽

Vol 175 ◽

pp. 79-87 ◽

Cited By ~ 3

Author(s):

Peter A. Ingraham ◽

William A. Salas

Keyword(s):

Nitrous Oxide ◽

Nitrate Leaching ◽

Dndc Model ◽

Mitigation Potential ◽

Corn Crop

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Effects of Different Vegetation Zones on CH4and N2O Emissions in Coastal Wetlands: A Model Case Study

The Scientific World JOURNAL ◽

10.1155/2014/412183 ◽

2014 ◽

Vol 2014 ◽

pp. 1-7

Author(s):

Yuhong Liu ◽

Lixin Wang ◽

Shumei Bao ◽

Huamin Liu ◽

Junbao Yu ◽

...

Keyword(s):

Coastal Wetlands ◽

Coastal Wetland ◽

Global Climate ◽

N2o Emissions ◽

Organic Carbon Content ◽

Dndc Model ◽

Model Case ◽

Wetland Ecosystems ◽

Factors Affecting ◽

Vegetation Zones

The coastal wetland ecosystems are important in the global carbon and nitrogen cycle and global climate change. For higher fragility of coastal wetlands induced by human activities, the roles of coastal wetland ecosystems in CH4and N2O emissions are becoming more important. This study used a DNDC model to simulate current and future CH4and N2O emissions of coastal wetlands in four sites along the latitude in China. The simulation results showed that different vegetation zones, including bare beach,Spartinabeach, andPhragmitesbeach, produced different emissions of CH4and N2O in the same latitude region. Correlation analysis indicated that vegetation types, water level, temperature, and soil organic carbon content are the main factors affecting emissions of CH4and N2O in coastal wetlands.

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Application of DNDC Model for Mapping Greenhouse Gas Emission from Paddy Rice Cultivation in Nam Dinh Province

VNU Journal of Science Earth and Environmental Sciences ◽

10.25073/2588-1094/vnuees.4373 ◽

2019 ◽

Vol 35 (2) ◽

Author(s):

Nguyen Le Trang ◽

Bui Thi Thu Trang ◽

Mai Van Trinh ◽

Nguyen Tien Sy ◽

Nguyen Manh Khai

Keyword(s):

Greenhouse Gas ◽

Agricultural Sector ◽

Greenhouse Gas Emission ◽

Agricultural Soils ◽

Paddy Rice ◽

Rice Cultivation ◽

N2o Emissions ◽

Viet Nam ◽

Alkaline Soils ◽

Dndc Model

Abstract: This study used the Denitrification-Decomposition (DNDC) model to calculate greenhouse gas emissions from a paddy rice cultivation in Nam Dinh province. The results show that the total CH4 emission from paddy rice field in Nam Dinh province ranges from 404 to 1146kg/ha/year. Total N2O emissions range from 0.8 to 4.2 kg/ha/year; The total amount of CO2e varies between 10,000 and 30,000 kg CO2e / ha / year. CH4 emissions on typical salinealluvial soils, light mechanics are the highest and lowest on alkaline soils. Alluvium, alkaline soils have the highest N2O emissions and the lowest is the typical saline soils. The study has also mapped CH4, N2O and CO2e emissions for Nam Dinh province. Keywords: DNDC, Green house gas, agricultural sector, Nam Dinh, GIS. References: [1] Bộ Tài nguyên và Môi trường, Báo cáo kỹ thuật kiểm kê quốc gia KNK của Việt Nam năm 2014, NXB Tài Nguyên Môi trường và Bản đồ Việt Nam, 2018.[2] D.L. Giltrap, C.Li, S. Saggar, DNDC: A process-based model of greenhouse gas fluxes from agricultural soils, Agriculture, Ecosystems & Environment,Volume 136 (2010), 292–300. https://doi:10.1016/j.agee.2009.06.014.[3] Viện Thổ nhưỡng Nông hóa, Báo cáo kết quả đề tài: “Nghiên cứu, đánh giá tài nguyên đất sản xuất nông nghiệp phục vụ chuyển đổi cơ cấu cây trồng chính có hiệu quả tại tỉnh Nam Định”, 2017.[4] Trung tâm Khí tượng thủy văn quốc gia – Bộ TN&MT, Số liệu thống kê khí tượng thủy văn các trạm khí tượng Văn Lý, Nam Định, Ninh Bình, Thái Bình năm 2014, 2015.[5] Niên giám thống kê tỉnh Nam Định, 2015.[6] T. Weaver, P. Ramachandran, L. Adriano, Policies for High Quality, Safe, and Sustainable Food Supply in the Greater Mekong Subregion. ADB: Manila. (2019) Chapter 7, 178-204.[7] Mai Văn Trịnh, Sổ tay hướng dẫn đo phát thải khí nhà kính trong canh tác lúa. NXB Nông nghiệp, 2016.

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