Gene-Based Modeling of Methane Oxidation in Coastal Sediments: Constraints on the Efficiency of the Microbial Methane Filter

Publication date

2023-08-29

Authors

Lenstra, Wytze KlaasISNI 0000000492798709
van Helmond, Niels A. G. M.ISNI 0000000419542360
Martins, Paula Dalcin
Wallenius, Anna J.
Jetten, Mike S.M.
Slomp, C.P.ISNI 0000000353313441

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Advisors

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Document Type

Article
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cc_by

Abstract

Methane is a powerful greenhouse gas that is produced in large quantities in marine sediments. Microbially mediated oxidation of methane in sediments, when in balance with methane production, prevents the release of methane to the overlying water. Here, we present a gene-based reactive transport model that includes both microbial and geochemical dynamics and use it to investigate whether the rate of growth of methane oxidizers in sediments impacts the efficiency of the microbial methane filter. We focus on iron- and methane-rich coastal sediments and, with the model, show that at our site, up to 10% of all methane removed is oxidized by iron and manganese oxides, with the remainder accounted for by oxygen and sulfate. We demonstrate that the slow growth rate of anaerobic methane-oxidizing microbes limits their ability to respond to transient perturbations, resulting in periodic benthic release of methane. Eutrophication and deoxygenation decrease the efficiency of the microbial methane filter further, thereby enhancing the role of coastal environments as a source of methane to the atmosphere.

Keywords

cell-specific methane oxidation rates, gene-centric reactive transport modeling, greenhouse gas, microbial growth rates, microbial methane oxidation, sediment biogeochemistry, General Chemistry, Environmental Chemistry, SDG 14 - Life Below Water

Citation

Lenstra, W K, van Helmond, N A G M, Martins, P D, Wallenius, A J, Jetten, M S M & Slomp, C P 2023, 'Gene-Based Modeling of Methane Oxidation in Coastal Sediments : Constraints on the Efficiency of the Microbial Methane Filter', Environmental Science and Technology, vol. 57, no. 34, pp. 12722-12731. https://doi.org/10.1021/acs.est.3c02023