Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling
Climate change is expected to have significant and uncertain impacts on methane (CH4) emissions from northern peatlands. Biogeochemical models can extrapolate site‐specificCH4 measurements to larger scales and predict responses of CH4 emissions to environmental changes. However, these models include...
Published in: | Journal of Advances in Modeling Earth Systems |
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ftqueensland:oai:eprints.qut.edu.au:209431 2024-02-04T10:03:53+01:00 Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling Deng, Jia McCalley, Carmody K. Frolking, Steve Chanton, Jeff Crill, Patrick Varner, Ruth Tyson, Gene Rich, Virginia Hines, Mark Saleska, Scott R. Li, Changsheng 2017 application/pdf https://eprints.qut.edu.au/209431/ unknown Wiley-Blackwell https://eprints.qut.edu.au/209431/1/81234708.pdf doi:10.1002/2016MS000817 Deng, Jia, McCalley, Carmody K., Frolking, Steve, Chanton, Jeff, Crill, Patrick, Varner, Ruth, Tyson, Gene, Rich, Virginia, Hines, Mark, Saleska, Scott R., & Li, Changsheng (2017) Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling. Journal of Advances in Modeling Earth Systems, 9(2), pp. 1412-1430. https://eprints.qut.edu.au/209431/ free_to_read http://creativecommons.org/licenses/by-nc-nd/4.0/ 2017 The Author(s) This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au Journal of Advances in Modeling Earth Systems Contribution to Journal 2017 ftqueensland https://doi.org/10.1002/2016MS000817 2024-01-08T23:57:22Z Climate change is expected to have significant and uncertain impacts on methane (CH4) emissions from northern peatlands. Biogeochemical models can extrapolate site‐specificCH4 measurements to larger scales and predict responses of CH4 emissions to environmental changes. However, these models include considerable uncertainties and limitations in representing CH4 production, consumption, and transport processes. To improve predictions of CH4 transformations, we incorporated acetate and stable carbon (C) isotopic dynamics associated with CH4 cycling into a biogeochemistry model, DNDC. By including these new features, DNDC explicitly simulates acetate dynamics and the relative contribution of acetotrophic and hydrogenotrophic methanogenesis (AM and HM) to CH4 production, and predicts the C isotopic signature (δ13C) in soil C pools and emitted gases. When tested against biogeochemical and microbial community observations at two sites in a zone of thawing permafrost in a subarctic peatland in Sweden, the new formulation substantially improved agreement with CH4 production pathways and δ13C in emitted CH4 (δ13C‐CH4), a measure of the integrated effects of microbial production and consumption, and of physical transport. We also investigated the sensitivity of simulated δ13C‐CH4 to C isotopic composition of substrates and, to fractionation factors for CH4 production (αAM and αHM), CH4 oxidation (αMO), and plant‐mediated CH4 transport (αTP). The sensitivity analysis indicated that the δ13C‐CH4 is highly sensitive to the factors associated with microbial metabolism (αAM, αHM, and αMO). The model framework simulating stable C isotopic dynamics provides a robust basis for better constraining and testing microbial mechanisms in predicting CH4 cycling in peatlands. Article in Journal/Newspaper permafrost Subarctic Queensland University of Technology: QUT ePrints Journal of Advances in Modeling Earth Systems 9 2 1412 1430 |
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Queensland University of Technology: QUT ePrints |
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ftqueensland |
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description |
Climate change is expected to have significant and uncertain impacts on methane (CH4) emissions from northern peatlands. Biogeochemical models can extrapolate site‐specificCH4 measurements to larger scales and predict responses of CH4 emissions to environmental changes. However, these models include considerable uncertainties and limitations in representing CH4 production, consumption, and transport processes. To improve predictions of CH4 transformations, we incorporated acetate and stable carbon (C) isotopic dynamics associated with CH4 cycling into a biogeochemistry model, DNDC. By including these new features, DNDC explicitly simulates acetate dynamics and the relative contribution of acetotrophic and hydrogenotrophic methanogenesis (AM and HM) to CH4 production, and predicts the C isotopic signature (δ13C) in soil C pools and emitted gases. When tested against biogeochemical and microbial community observations at two sites in a zone of thawing permafrost in a subarctic peatland in Sweden, the new formulation substantially improved agreement with CH4 production pathways and δ13C in emitted CH4 (δ13C‐CH4), a measure of the integrated effects of microbial production and consumption, and of physical transport. We also investigated the sensitivity of simulated δ13C‐CH4 to C isotopic composition of substrates and, to fractionation factors for CH4 production (αAM and αHM), CH4 oxidation (αMO), and plant‐mediated CH4 transport (αTP). The sensitivity analysis indicated that the δ13C‐CH4 is highly sensitive to the factors associated with microbial metabolism (αAM, αHM, and αMO). The model framework simulating stable C isotopic dynamics provides a robust basis for better constraining and testing microbial mechanisms in predicting CH4 cycling in peatlands. |
format |
Article in Journal/Newspaper |
author |
Deng, Jia McCalley, Carmody K. Frolking, Steve Chanton, Jeff Crill, Patrick Varner, Ruth Tyson, Gene Rich, Virginia Hines, Mark Saleska, Scott R. Li, Changsheng |
spellingShingle |
Deng, Jia McCalley, Carmody K. Frolking, Steve Chanton, Jeff Crill, Patrick Varner, Ruth Tyson, Gene Rich, Virginia Hines, Mark Saleska, Scott R. Li, Changsheng Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling |
author_facet |
Deng, Jia McCalley, Carmody K. Frolking, Steve Chanton, Jeff Crill, Patrick Varner, Ruth Tyson, Gene Rich, Virginia Hines, Mark Saleska, Scott R. Li, Changsheng |
author_sort |
Deng, Jia |
title |
Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling |
title_short |
Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling |
title_full |
Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling |
title_fullStr |
Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling |
title_full_unstemmed |
Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling |
title_sort |
adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling |
publisher |
Wiley-Blackwell |
publishDate |
2017 |
url |
https://eprints.qut.edu.au/209431/ |
genre |
permafrost Subarctic |
genre_facet |
permafrost Subarctic |
op_source |
Journal of Advances in Modeling Earth Systems |
op_relation |
https://eprints.qut.edu.au/209431/1/81234708.pdf doi:10.1002/2016MS000817 Deng, Jia, McCalley, Carmody K., Frolking, Steve, Chanton, Jeff, Crill, Patrick, Varner, Ruth, Tyson, Gene, Rich, Virginia, Hines, Mark, Saleska, Scott R., & Li, Changsheng (2017) Adding stable carbon isotopes improves model representation of the role of microbial communities in peatland methane cycling. Journal of Advances in Modeling Earth Systems, 9(2), pp. 1412-1430. https://eprints.qut.edu.au/209431/ |
op_rights |
free_to_read http://creativecommons.org/licenses/by-nc-nd/4.0/ 2017 The Author(s) This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au |
op_doi |
https://doi.org/10.1002/2016MS000817 |
container_title |
Journal of Advances in Modeling Earth Systems |
container_volume |
9 |
container_issue |
2 |
container_start_page |
1412 |
op_container_end_page |
1430 |
_version_ |
1789971687426490368 |