A scalable model for methane consumption in arctic mineral soils
Recent field studies have documented a surprisingly strong and consistent methane sink in arctic mineral soils, thought to be due to high‐affinity methanotrophy. However, the distinctive physiology of these methanotrophs is poorly represented in mechanistic methane models. We developed a new model,...
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Published in | Geophysical research letters Vol. 43; no. 10; pp. 5143 - 5150 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Washington
John Wiley & Sons, Inc
28.05.2016
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Subjects | |
Online Access | Get full text |
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Summary: | Recent field studies have documented a surprisingly strong and consistent methane sink in arctic mineral soils, thought to be due to high‐affinity methanotrophy. However, the distinctive physiology of these methanotrophs is poorly represented in mechanistic methane models. We developed a new model, constrained by microcosm experiments, to simulate the activity of high‐affinity methanotrophs. The model was tested against soil core‐thawing experiments and field‐based measurements of methane fluxes and was compared to conventional mechanistic methane models. Our simulations show that high‐affinity methanotrophy can be an important component of the net methane flux from arctic mineral soils. Simulations without this process overestimate methane emissions. Furthermore, simulations of methane flux seasonality are improved by dynamic simulation of active microbial biomass. Because a large fraction of the Arctic is characterized by mineral soils, high‐affinity methanotrophy will likely have a strong effect on its net methane flux.
Key Points
We developed a methane model that represents high‐affinity methanotrophy and active microbial biomass changes in arctic mineral soils
High‐affinity methanotrophy facilitated accurate simulation of methane consumption in arctic mineral soils
Active microbial biomass changes strongly influenced seasonal methane fluxes |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0094-8276 1944-8007 |
DOI: | 10.1002/2016GL069049 |