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

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

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 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.

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

Publication Date:: 2018-12-19

Other Number(s):: NGA156
ngee_12C5F6CAC100E05831B97E6AF7D47BEC2018_06_13_141106900

DOE Contract Number:: DE-AC05-00OR22725

Product Type:: Dataset

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

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Subject:: 54 Environmental Sciences

Keywords:: carbon decomposition model framework; soil geochemistry; carbon mineralization

OSTI Identifier:: 1430703

DOI:: 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.

Copy to clipboard


                    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:10.5440/1430703.

Copy to clipboard


                    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:10.5440/1430703.  https://www.osti.gov/servlets/purl/1430703. Pub date:Wed Dec 19 00:00:00 EST 2018

Copy to clipboard


                    
@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 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.},

  doi          = {10.5440/1430703},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2018},

  month        = {12}

}

Copy to clipboard

Dataset:

View Dataset

DOI: 10.5440/1430703

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization

Journal Article Zheng, Jianqiu ; Thornton, Peter E. ; Painter, Scott L. ; ... - Biogeosciences (Online)

Abstract. Rapid warming of Arctic ecosystems exposes soil organic matter (SOM) to accelerated microbial decomposition, potentially leading to increased emissions of carbon dioxide (CO₂) and methane (CH₄) that have a positive feedback on global warming. Current estimates of the magnitude and form of carbon emissions from Earth system models include significant uncertainties, partially due to the oversimplified representation of geochemical constraints on microbial decomposition. Here, we coupled modeling principles developed in different disciplines, including a thermodynamically based microbial growth model for methanogenesis and iron reduction, a pool-based model to represent upstream carbon transformations, and a humic ion-binding model for dynamicmore »« less
Cited by 1
Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization

Journal Article Zheng, Jianqiu ; Thornton, Peter E. ; Painter, Scott L. ; ... - Biogeosciences (Online)

Rapid warming of Arctic ecosystems exposes soil organic matter(SOM) to accelerated microbial decomposition, potentially leading toincreased emissions of carbon dioxide (CO₂) and methane(CH₄) that have a positive feedback on global warming. Currentestimates of the magnitude and form of carbon emissions from Earth systemmodels include significant uncertainties, partially due to the oversimplifiedrepresentation of geochemical constraints on microbial decomposition. Here, wecoupled modeling principles developed in different disciplines, including athermodynamically based microbial growth model for methanogenesis and ironreduction, a pool-based model to represent upstream carbon transformations,and a humic ion-binding model for dynamic pH simulation to build a moreversatile carbon decomposition model framework thatmore »« less
Cited by 1
Synthesis of Soil Geochemical Characteristics and Organic Carbon Degradation from Arctic Polygon Tundra, Barrow, Alaska

Dataset Zheng, Jianqiu ; RoyChowdhury, Taniya ; Herndon, Elizabeth ; ...

This is a synthesis data product that reports (1) the results of soil geochemical characterization and (2) organic carbon degradation in low temperature soil incubations on cores collected on the NGEE Arctic Study Area near Utqiagvik (Barrow), Alaska. The study area consists of thaw lakes, drained thaw lake basins and interstitial tundra with a polygonal landscape of microtopographic features created by ice wedges. Integrated geochemical and organic carbon degradation data from 9 individual soil cores collected in April 2012 and April 2013 are included in the synthesis product.
NGEE Arctic Tram: Periodic Soil Moisture, Temperature, and Thaw Depth Measurements across Polygonal Tundra, Barrow, Alaska, 2014-2015

Dataset Curtis, Bryan ; Chafe, Oriana ; Peterson, John ; ...

Manual measurements of soil moisture, temperature, and thaw depth were collected in the footprint of the NGEE Arctic Tram starting 2014-07-20 and continuing through 2015-07-16. There were 10 periodic sampling events. These measurements were collected under the Tram observational platform. Probes were inserted into ground beneath the track closest to Tram sensors measurement locations at each Tram measurement position (Position # marked on the tracks). A MiniTrase Time Domain Reflectometry (TDR) instrument was used to measure volumetric water content (VWC; units = m3/m3). Soil temperature was measured with a thermocouple probe. Depth of thawed soil was measured from the topmore » of the moss layer or top of soil.« less
Physical, Chemical, and Hydrologic Characteristics of Active Layer and Permafrost Soils of Arctic Polygonal Tundra, Barrow, Alaska, 2013-2016

Dataset Wu, Yuxin ; Ulrich, Craig ; Kneafsey, Tim

This dataset reports the results of physical, chemical, and hydrologic analyses of soil cores collected at the NGEE Arctic Intensive Sites 0 and 1 (Plots A, B, C, and D) during late winter seasons (April-May) from 2013 to 2016. Locations were selected across the polygonal ground to include low, flat, and high centered polygons (LCPs, FCPs and HCPs) and internal features (i.e. the trough, center, and rim). The data are depth-resolved and down to ~ 4m below ground surface for some cores. The specific depths for each core where samples were analyzed vary from core to core. Dataset DOI:10.5440/1358456; https://doi.org/10.5440/1358456

Similar Records