Modeling Anaerobic Soil Organic Carbon Decomposition in Arctic Polygon Tundra: Insights into Soil Geochemical Influences on Carbon Mineralization: Modeling Archive

Zheng, Jianqiu; Thornton, Peter; Painter, Scott; Gu, Baohua; Wullschleger, Stan; Graham, David

doi:10.5440/1430703

Title: Modeling Anaerobic Soil Organic Carbon Decomposition in Arctic Polygon Tundra: Insights into Soil Geochemical Influences on Carbon Mineralization: Modeling Archive

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Abstract

This anaerobic carbon decomposition model framework was developed with explicit representation of fermentation, methanogenesis and iron reduction by combining three well-known modeling approaches developed in different disciplines. A pool-based model to represent upstream carbon transformations and replenishment of dissolved organic carbon (DOC) pool, a thermodynamically-based model to calculate rate kinetics and biomass growth for methanogenesis and Fe(III) reduction, and a humic ion-binding model for aqueous phase speciation and pH calculations. The combined models are implemented in the open source geochemical model PHREEQC (V3.0). Installation of PHREEQC is required to run this model. This dataset contains one zipped file and one pdf.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existingmore »« less

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Oak Ridge National Laboratory

Publication Date:: Wed Dec 19 04:00:00 UTC 2018

Other Number(s):: https://doi.org/10.5440/1430703; NGA156
ngee_12C5F6CAC100E05831B97E6AF7D47BEC2018_06_13_141106900

DOE Contract Number:: AC05-00OR22725

Research Org.:: Next Generation Ecosystems Experiment - Arctic, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Collaborations:: ORNL

Subject:: 54 ENVIRONMENTAL SCIENCES; carbon decomposition model framework; carbon mineralization; soil geochemistry

OSTI Identifier:: 1430703

DOI:: https://doi.org/10.5440/1430703

Citation Formats


                    Zheng, Jianqiu, Thornton, Peter, Painter, Scott, Gu, Baohua, Wullschleger, Stan, and Graham, David. Modeling Anaerobic Soil Organic Carbon Decomposition in Arctic Polygon Tundra: Insights into Soil Geochemical Influences on Carbon Mineralization: Modeling Archive.  United States: N. p., 2018. 
        Web.  doi:10.5440/1430703.

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                    Zheng, Jianqiu, Thornton, Peter, Painter, Scott, Gu, Baohua, Wullschleger, Stan, & Graham, David. Modeling Anaerobic Soil Organic Carbon Decomposition in Arctic Polygon Tundra: Insights into Soil Geochemical Influences on Carbon Mineralization: Modeling Archive.  United States.  doi:https://doi.org/10.5440/1430703

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                    Zheng, Jianqiu, Thornton, Peter, Painter, Scott, Gu, Baohua, Wullschleger, Stan, and Graham, David. 2018.  
"Modeling Anaerobic Soil Organic Carbon Decomposition in Arctic Polygon Tundra: Insights into Soil Geochemical Influences on Carbon Mineralization: Modeling Archive".  United States.  doi:https://doi.org/10.5440/1430703.  https://www.osti.gov/servlets/purl/1430703. Pub date:Wed Dec 19 04:00:00 UTC 2018

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@article{osti_1430703,

  title        = {Modeling Anaerobic Soil Organic Carbon Decomposition in Arctic Polygon Tundra: Insights into Soil Geochemical Influences on Carbon Mineralization: Modeling Archive},

  author       = {Zheng, Jianqiu and Thornton, Peter and Painter, Scott and Gu, Baohua and Wullschleger, Stan and Graham, David},

  abstractNote = {This anaerobic carbon decomposition model framework was developed with explicit representation of fermentation, methanogenesis and iron reduction by combining three well-known modeling approaches developed in different disciplines. A pool-based model to represent upstream carbon transformations and replenishment of dissolved organic carbon (DOC) pool, a thermodynamically-based model to calculate rate kinetics and biomass growth for methanogenesis and Fe(III) reduction, and a humic ion-binding model for aqueous phase speciation and pH calculations. The combined models are implemented in the open source geochemical model PHREEQC (V3.0). Installation of PHREEQC is required to run this model. This dataset contains one zipped file and one pdf.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).},

  doi          = {10.5440/1430703},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Wed Dec 19 04:00:00 UTC 2018},

  month        = {Wed Dec 19 04:00:00 UTC 2018}

}

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DOI: https://doi.org/10.5440/1430703

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