IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v175y2019icp79-87.html
   My bibliography  Save this article

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

Author

Listed:
  • Ingraham, Peter A.
  • Salas, William A.

Abstract

Nitrous oxide (N2O, a potent greenhouse gas; GHG) is emitted at relatively high rates from corn-based agricultural systems. N2O mitigation strategies, in addition to reducing GHG emissions, ideally would not increase other harmful pollutants (such as leached nitrate, NO3, or volatilized ammonia, NH3) or decrease crop yield. We used the Denitrification-Decomposition model (DNDC) to simulate an array of single and combined interventions to corn management across broad range of physical conditions (climate and soil) in the Midwest US. We assumed a typical crop management baseline of continuous corn or corn-soy with conventional tillage and urea-ammonium nitrate fertilizer broadcast to the soil surface. Interventions included fertilizer nitrogen (N) form, controlled-release N, addition of nitrification inhibitors, N rate, split sidedress N applications, sub-soil N placement, and reduced tillage. Single-factor interventions which reduced N2O in all locales included a change to urea fertilizer, nitrification inhibitors, reductions to N rate, and use of N injection: urea fertilizer and nitrification inhibitors both reduced N2O emissions on average (30 and 9%, respectively) while simultaneously reducing NO3 leaching and mostly neutral effects to yield; N rate reductions reduced N2O (11%) but had modest negative effects to yield. Other single-factor interventions increase N2O emissions or N leaching on average but could have beneficial effects under some conditions. Combined interventions frequently include (>50% of the time) urea, nitrification inhibitors, and reduced N. Interventions that, even when combined with other interventions, do not reduce N2O emissions and N leaching include anhydrous ammonia fertilizer, controlled release, and injection. Controlled-release fertilizer results were contrary to those reported in most field studies indicating that DNDC's simulation of linear N release over time may be too simplistic to replicate field conditions.

Suggested Citation

  • Ingraham, Peter A. & Salas, William A., 2019. "Assessing nitrous oxide and nitrate leaching mitigation potential in US corn crop systems using the DNDC model," Agricultural Systems, Elsevier, vol. 175(C), pages 79-87.
  • Handle: RePEc:eee:agisys:v:175:y:2019:i:c:p:79-87
    DOI: 10.1016/j.agsy.2019.05.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308521X18303305
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agsy.2019.05.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stephen C. Hagen & Grace Delgado & Peter Ingraham & Ian Cooke & Richard Emery & Justin P. Fisk & Lindsay Melendy & Thomas Olson & Shawn Patti & Nathanael Rubin & Beth Ziniti & Haixin Chen & William Sa, 2020. "Mapping Conservation Management Practices and Outcomes in the Corn Belt Using the Operational Tillage Information System (OpTIS) and the Denitrification–Decomposition (DNDC) Model," Land, MDPI, vol. 9(11), pages 1-23, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mack, Sarah K. & Lane, Robert R. & Deng, Jia & Morris, James T. & Bauer, Julian J., 2023. "Wetland carbon models: Applications for wetland carbon commercialization," Ecological Modelling, Elsevier, vol. 476(C).
    2. Nittaya Cha-un & Amnat Chidthaisong & Kazuyuki Yagi & Sirintornthep Towprayoon, 2021. "Simulating the Long-Term Effects of Fertilizer and Water Management on Grain Yield and Methane Emissions of Paddy Rice in Thailand," Agriculture, MDPI, vol. 11(11), pages 1-22, November.
    3. Han, Huanhao & Gao, Rong & Cui, Yuanlai & Gu, Shixiang, 2022. "A semi-empirical semi-process model of ammonia volatilization from paddy fields under different irrigation modes and urea application regimes," Agricultural Water Management, Elsevier, vol. 272(C).
    4. Stephen C. Hagen & Grace Delgado & Peter Ingraham & Ian Cooke & Richard Emery & Justin P. Fisk & Lindsay Melendy & Thomas Olson & Shawn Patti & Nathanael Rubin & Beth Ziniti & Haixin Chen & William Sa, 2020. "Mapping Conservation Management Practices and Outcomes in the Corn Belt Using the Operational Tillage Information System (OpTIS) and the Denitrification–Decomposition (DNDC) Model," Land, MDPI, vol. 9(11), pages 1-23, October.
    5. Zhao, Zheng & Cao, Linkui & Deng, Jia & Sha, Zhimin & Chu, Changbin & Zhou, Deping & Wu, Shuhang & Lv, Weiguang, 2020. "Modeling CH4 and N2O emission patterns and mitigation potential from paddy fields in Shanghai, China with the DNDC model," Agricultural Systems, Elsevier, vol. 178(C).
    6. Jing, Rui & Li, Yubing & Wang, Meng & Chachuat, Benoit & Lin, Jianyi & Guo, Miao, 2021. "Coupling biogeochemical simulation and mathematical optimisation towards eco-industrial energy systems design," Applied Energy, Elsevier, vol. 290(C).
    7. Zhang, Feng & Zhang, Wenjuan & Li, Ming & Zhang, Yuan & Li, Fengmin & Li, Changbin, 2017. "Is crop biomass and soil carbon storage sustainable with long-term application of full plastic film mulching under future climate change?," Agricultural Systems, Elsevier, vol. 150(C), pages 67-77.
    8. Xiaobo Xue Romeiko & Zhijian Guo & Yulei Pang & Eun Kyung Lee & Xuesong Zhang, 2020. "Comparing Machine Learning Approaches for Predicting Spatially Explicit Life Cycle Global Warming and Eutrophication Impacts from Corn Production," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
    9. John M. Antle & Seojin Cho & S. M. Hossein Tabatabaie & Roberto O. Valdivia, 2019. "Economic and environmental performance of dryland wheat-based farming systems in a 1.5 °C world," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(2), pages 165-180, February.
    10. Zhen, Huayang & Qiao, Yuhui & Zhao, Haijun & Ju, Xuehai & Zanoli, Raffaele & Waqas, Muhammad Ahmed & Lun, Fei & Knudsen, Marie Trydeman, 2022. "Developing a conceptual model to quantify eco-compensation based on environmental and economic cost-benefit analysis for promoting the ecologically intensified agriculture," Ecosystem Services, Elsevier, vol. 56(C).
    11. De Pinto, Alessandro & Li, Man & Haruna, Akiko & Hyman, Glenn Graham & Martinez, Mario Andrés Londoño & Creamer, Bernardo & Kwon, Ho-Young & Garcia, Jhon Brayan Valencia & Tapasco, Jeimar & Martinez, , 2016. "Low Emission Development Strategies in Agriculture. An Agriculture, Forestry, and Other Land Uses (AFOLU) Perspective," World Development, Elsevier, vol. 87(C), pages 180-203.
    12. Myrgiotis, Vasileios & Rees, Robert M. & Topp, Cairistiona F.E. & Williams, Mathew, 2018. "A systematic approach to identifying key parameters and processes in agroecosystem models," Ecological Modelling, Elsevier, vol. 368(C), pages 344-356.
    13. Yi Yang & Beibei Liu & Peng Wang & Wei‐Qiang Chen & Timothy M. Smith, 2020. "Toward sustainable climate change adaptation," Journal of Industrial Ecology, Yale University, vol. 24(2), pages 318-330, April.
    14. Leng, Xu & Li, Xianyue & Chen, Ning & Zhang, Jinjun & Guo, Yu & Ding, Zongjiang, 2021. "Evaluating the effects of biodegradable film mulching and topdressing nitrogen on nitrogen dynamic and utilization in the arid cornfield," Agricultural Water Management, Elsevier, vol. 258(C).
    15. Jing, Rui & Liu, Jiahui & Zhang, Haoran & Zhong, Fenglin & Liu, Yupeng & Lin, Jianyi, 2022. "Unlock the hidden potential of urban rooftop agrivoltaics energy-food-nexus," Energy, Elsevier, vol. 256(C).
    16. Juhua Ding & Qiuan Zhu & Hanwei Li & Xiaolu Zhou & Weiguo Liu & Changhui Peng, 2022. "Contribution of Incorporating the Phosphorus Cycle into TRIPLEX-CNP to Improve the Quantification of Land Carbon Cycle," Land, MDPI, vol. 11(6), pages 1-22, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:175:y:2019:i:c:p:79-87. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.