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The Potential of Switchgrass and Miscanthus to Enhance Soil Organic Carbon Sequestration—Predicted by DayCent Model

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  • Marek Jarecki

    (School of Environmental Sciences, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada)

  • Kumudinie Kariyapperuma

    (School of Environmental Sciences, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada
    Office of Research Services, Wilfrid Laurier University, 75 University Avenue West, Waterloo Ontario, N2L 3C5, Canada.)

  • Bill Deen

    (Department of Plant Agriculture, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada)

  • Jordan Graham

    (Ontario Soil and Crop Improvement Association, 1 Stone Road W, Guelph, ON N1G 4Y2, Canada)

  • Amir Behzad Bazrgar

    (School of Environmental Sciences, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada)

  • Sowthini Vijayakumar

    (School of Environmental Sciences, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada)

  • Mahendra Thimmanagari

    (Ontario Ministry of Agriculture, Food and Rural Affairs, 1 Stone Road W, Guelph, ON N1G 4Y2, Canada)

  • Andrew Gordon

    (School of Environmental Sciences, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada)

  • Paul Voroney

    (School of Environmental Sciences, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada)

  • Naresh Thevathasan

    (School of Environmental Sciences, University of Guelph, 50 Stone Road E, Guelph, ON N1G 2W1, Canada)

Abstract

Warm season perennial C4 grasses (WSGs), switchgrass ( Panicum virgatum L.) and miscanthus species ( Miscanthus spp.), have been reported to positively influence short-term (15–20 years) soil organic carbon (SOC). In this study, the DayCent model was used to predict changes in long-term SOC stocks under WSGs for moderate (Representative Concentration Pathway (RCP) 4.5) and high (RCP 8.5) warming climate change scenarios in southern Ontario, Canada, and to determine how long the enhanced SOC stock will last when WSGs are converted back to annual crop rotation. The model predicted that a consistent corn–corn–soybean–winter wheat (CCSW) rotation prevented SOC from depletion over the 21st century. Under WSGs, the model predicted high rates of SOC sequestration during the first 20–30 years which then tended to stabilize after 50–60 years. However, the rate of SOC sequestration over 90 years for RCP 4.5 was 0.26 and 0.94 Mg C ha −1 yr −1 for switchgrass and miscanthus, respectively. If 40-year stands of WSGs are converted back to CCSW, the model predicted SOC decline to the previous level in 40–50 years. DayCent predicted that under RCP 8.5 scenario in the second half of the 21st century and in the future, there will be a reduction in SOC stocks, especially under miscanthus stands.

Suggested Citation

  • Marek Jarecki & Kumudinie Kariyapperuma & Bill Deen & Jordan Graham & Amir Behzad Bazrgar & Sowthini Vijayakumar & Mahendra Thimmanagari & Andrew Gordon & Paul Voroney & Naresh Thevathasan, 2020. "The Potential of Switchgrass and Miscanthus to Enhance Soil Organic Carbon Sequestration—Predicted by DayCent Model," Land, MDPI, vol. 9(12), pages 1-17, December.
  • Handle: RePEc:gam:jlands:v:9:y:2020:i:12:p:509-:d:460101
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    References listed on IDEAS

    as
    1. Haas, H.J. & Evans, C.E., 1957. "Nitrogen and Carbon Changes in Great plains Soils as Influenced by Cropping and Soil Treatments," Technical Bulletins 157187, United States Department of Agriculture, Economic Research Service.
    2. Amir Behzad Bazrgar & Aeryn Ng & Brent Coleman & Muhammad Waseem Ashiq & Andrew Gordon & Naresh Thevathasan, 2020. "Long-Term Monitoring of Soil Carbon Sequestration in Woody and Herbaceous Bioenergy Crop Production Systems on Marginal Lands in Southern Ontario, Canada," Sustainability, MDPI, vol. 12(9), pages 1-16, May.
    3. Ilya Gelfand & Ritvik Sahajpal & Xuesong Zhang & R. César Izaurralde & Katherine L. Gross & G. Philip Robertson, 2013. "Sustainable bioenergy production from marginal lands in the US Midwest," Nature, Nature, vol. 493(7433), pages 514-517, January.
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    Cited by:

    1. Yane Freitas Silva & Rafael Vasconcelos Valadares & Henrique Boriolo Dias & Santiago Vianna Cuadra & Eleanor E. Campbell & Rubens A. C. Lamparelli & Edemar Moro & Rafael Battisti & Marcelo R. Alves & , 2022. "Intense Pasture Management in Brazil in an Integrated Crop-Livestock System Simulated by the DayCent Model," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    2. Wu, Jy S. & Tseng, Hui-Kuan & Liu, Xiaoshuai, 2022. "Techno-economic assessment of bioenergy potential on marginal croplands in the U.S. southeast," Energy Policy, Elsevier, vol. 170(C).

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    More about this item

    Keywords

    warm season C4 grasses; herbaceous biomass crops; climate scenarios;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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