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

Rapid warming of Arctic ecosystems exposes soil organic matter(SOM) to accelerated microbial decomposition, potentially leading toincreased emissions of carbon dioxide ( CO 2 ) and methane( CH 4 ) that have a positive feedback on global warming. Currentestimates of the magnitude and form of carbon e...

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Published in:Biogeosciences
Main Authors: Zheng, Jianqiu, Thornton, Peter E., Painter, Scott L., Gu, Baohua, Wullschleger, Stan D., Graham, David E.
Language:unknown
Published: 2023
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1494015
https://www.osti.gov/biblio/1494015
https://doi.org/10.5194/bg-16-663-2019
id ftosti:oai:osti.gov:1494015
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spelling ftosti:oai:osti.gov:1494015 2023-07-30T04:01:18+02:00 Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization Zheng, Jianqiu Thornton, Peter E. Painter, Scott L. Gu, Baohua Wullschleger, Stan D. Graham, David E. 2023-06-28 application/pdf http://www.osti.gov/servlets/purl/1494015 https://www.osti.gov/biblio/1494015 https://doi.org/10.5194/bg-16-663-2019 unknown http://www.osti.gov/servlets/purl/1494015 https://www.osti.gov/biblio/1494015 https://doi.org/10.5194/bg-16-663-2019 doi:10.5194/bg-16-663-2019 54 ENVIRONMENTAL SCIENCES 2023 ftosti https://doi.org/10.5194/bg-16-663-2019 2023-07-11T09:31:15Z Rapid warming of Arctic ecosystems exposes soil organic matter(SOM) to accelerated microbial decomposition, potentially leading toincreased emissions of carbon dioxide ( CO 2 ) and methane( CH 4 ) 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 that can be applied to soilsunder varying redox conditions. This new model framework was parameterizedand validated using synthesized anaerobic incubation data from permafrost-affectedsoils along a gradient of fine-scale thermal and hydrologicalvariabilities across Arctic polygonal tundra. The model accurately simulatedanaerobic CO 2 production and its temperature sensitivity using dataon labile carbon pools and fermentation rates as model constraints. CH 4 production is strongly influenced by water content, pH,methanogen biomass, and presence of competing electron acceptors, resultingin high variability in its temperature sensitivity. This work provides newinsights into the interactions of SOM pools, temperature increase, soilgeochemical feedbacks, and resulting CO 2 and CH 4 production. As a result, the proposed anaerobic carbon decomposition framework presentedhere builds a mechanistic link between soil geochemistry and carbonmineralization, making it applicable over a wide range of soils underdifferent environmental settings. Other/Unknown Material Arctic Global warming permafrost Tundra SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic Biogeosciences 16 3 663 680
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 ENVIRONMENTAL SCIENCES
spellingShingle 54 ENVIRONMENTAL SCIENCES
Zheng, Jianqiu
Thornton, Peter E.
Painter, Scott L.
Gu, Baohua
Wullschleger, Stan D.
Graham, David E.
Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization
topic_facet 54 ENVIRONMENTAL SCIENCES
description Rapid warming of Arctic ecosystems exposes soil organic matter(SOM) to accelerated microbial decomposition, potentially leading toincreased emissions of carbon dioxide ( CO 2 ) and methane( CH 4 ) 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 that can be applied to soilsunder varying redox conditions. This new model framework was parameterizedand validated using synthesized anaerobic incubation data from permafrost-affectedsoils along a gradient of fine-scale thermal and hydrologicalvariabilities across Arctic polygonal tundra. The model accurately simulatedanaerobic CO 2 production and its temperature sensitivity using dataon labile carbon pools and fermentation rates as model constraints. CH 4 production is strongly influenced by water content, pH,methanogen biomass, and presence of competing electron acceptors, resultingin high variability in its temperature sensitivity. This work provides newinsights into the interactions of SOM pools, temperature increase, soilgeochemical feedbacks, and resulting CO 2 and CH 4 production. As a result, the proposed anaerobic carbon decomposition framework presentedhere builds a mechanistic link between soil geochemistry and carbonmineralization, making it applicable over a wide range of soils underdifferent environmental settings.
author Zheng, Jianqiu
Thornton, Peter E.
Painter, Scott L.
Gu, Baohua
Wullschleger, Stan D.
Graham, David E.
author_facet Zheng, Jianqiu
Thornton, Peter E.
Painter, Scott L.
Gu, Baohua
Wullschleger, Stan D.
Graham, David E.
author_sort Zheng, Jianqiu
title Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization
title_short Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization
title_full Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization
title_fullStr Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization
title_full_unstemmed Modeling anaerobic soil organic carbon decomposition in Arctic polygon tundra: insights into soil geochemical influences on carbon mineralization
title_sort modeling anaerobic soil organic carbon decomposition in arctic polygon tundra: insights into soil geochemical influences on carbon mineralization
publishDate 2023
url http://www.osti.gov/servlets/purl/1494015
https://www.osti.gov/biblio/1494015
https://doi.org/10.5194/bg-16-663-2019
geographic Arctic
geographic_facet Arctic
genre Arctic
Global warming
permafrost
Tundra
genre_facet Arctic
Global warming
permafrost
Tundra
op_relation http://www.osti.gov/servlets/purl/1494015
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https://doi.org/10.5194/bg-16-663-2019
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op_doi https://doi.org/10.5194/bg-16-663-2019
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