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

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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Nitrogen additions increase N2O emissions but reduce soil respiration and CH4 uptake during freeze–thaw cycles in an alpine meadow

Geoderma ◽

10.1016/j.geoderma.2019.114157 ◽

2020 ◽

Vol 363 ◽

pp. 114157 ◽

Cited By ~ 3

Author(s):

Xing Wu ◽

Fangfang Wang ◽

Ting Li ◽

Bojie Fu ◽

Yihe Lv ◽

...

Keyword(s):

Soil Respiration ◽

Alpine Meadow ◽

N2o Emissions ◽

Freeze Thaw ◽

Ch4 Uptake ◽

Nitrogen Additions

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The amplitude of soil freeze-thaw cycles influences temporal dynamics of N2O emissions and denitrifier transcriptional activity and community composition

Biology and Fertility of Soils ◽

10.1007/s00374-016-1146-0 ◽

2016 ◽

Vol 52 (8) ◽

pp. 1149-1162 ◽

Cited By ~ 18

Author(s):

Sophie Wertz ◽

Claudia Goyer ◽

Bernie J. Zebarth ◽

Enrico Tatti ◽

David L. Burton ◽

...

Keyword(s):

Community Composition ◽

Transcriptional Activity ◽

Temporal Dynamics ◽

N2o Emissions ◽

Freeze Thaw

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

Journal of Integrative Agriculture ◽

10.1016/s2095-3119(12)60465-1 ◽

2012 ◽

Vol 11 (12) ◽

pp. 2067-2078 ◽

Cited By ~ 19

Author(s):

Hu LI ◽

Jian-jun QIU ◽

Li-gang WANG ◽

Ming-yi XU ◽

Zhi-qiang LIU ◽

...

Keyword(s):

N2o Emissions ◽

Dndc Model ◽

Mitigation Potential ◽

Maize Field ◽

Spring Maize

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Response of N2O emissions to biochar amendment in a cultivated sandy loam soil during freeze-thaw cycles

Scientific Reports ◽

10.1038/srep35411 ◽

2016 ◽

Vol 6 (1) ◽

Cited By ~ 4

Author(s):

Xiang Liu ◽

Quan Wang ◽

Zhiming Qi ◽

Jiangang Han ◽

Lanhai Li

Keyword(s):

Sandy Loam ◽

Sandy Loam Soil ◽

N2o Emissions ◽

Freeze Thaw ◽

Loam Soil ◽

Biochar Amendment

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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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Forests on drained agricultural peatland are potentially large sources of greenhouse gases – insights from a full rotation period simulation

Biogeosciences ◽

10.5194/bg-13-2305-2016 ◽

2016 ◽

Vol 13 (8) ◽

pp. 2305-2318 ◽

Cited By ~ 9

Author(s):

Hongxing He ◽

Per-Erik Jansson ◽

Magnus Svensson ◽

Jesper Björklund ◽

Lasse Tarvainen ◽

...

Keyword(s):

Plant Biomass ◽

Peat Soil ◽

Ghg Emissions ◽

Rotation Period ◽

Ecosystem Dynamics ◽

N2o Emissions ◽

Spruce Forest ◽

Tree Ring Data ◽

Full Rotation ◽

Norway Spruce Forest

Abstract. The CoupModel was used to simulate a Norway spruce forest on fertile drained peat over 60 years, from planting in 1951 until 2011, describing abiotic, biotic and greenhouse gas (GHG) emissions (CO2 and N2O). By calibrating the model against tree ring data a “vegetation fitted” model was obtained by which we were able to describe the fluxes and controlling factors over the 60 years. We discuss some conceptual issues relevant to improving the model in order to better understand peat soil simulations. However, the present model was able to describe the most important ecosystem dynamics such as the plant biomass development and GHG emissions. The GHG fluxes are composed of two important quantities, the spruce forest carbon (C) uptake, 413 g C m−2 yr−1 and the decomposition of peat soil, 399 g C m−2 yr−1. N2O emissions contribute to the GHG emissions by up to 0.7 g N m−2 yr−1, corresponding to 76 g C m−2 yr−1. The 60-year old spruce forest has an accumulated biomass of 16.0 kg C m−2 (corresponding to 60 kg CO2 m−2). However, over this period, 26.4 kg C m−2 (97 kg CO2eq m−2) has been added to the atmosphere, as both CO2 and N2O originating from the peat soil and, indirectly, from forest thinning products, which we assume have a short lifetime. We conclude that after harvest at an age of 80 years, most of the stored biomass carbon is liable to be released, the system having captured C only temporarily and with a cost of disappeared peat, adding CO2 to the atmosphere.

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