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Methane formation in tropical reservoirs predicted from sediment age and nitrogen
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology.ORCID iD: 0000-0002-4634-527x
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology.ORCID iD: 0000-0002-3251-7974
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology.ORCID iD: 0000-0003-1351-9277
2019 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 9, article id 11017Article in journal (Refereed) Published
Abstract [en]

Freshwater reservoirs, in particular tropical ones, are an important source of methane (CH4) to the atmosphere, but current estimates are uncertain. The CH4 emitted from reservoirs is microbially produced in their sediments, but at present, the rate of CH4 formation in reservoir sediments cannot be predicted from sediment characteristics, limiting our understanding of reservoir CH4 emission. Here we show through a long-term incubation experiment that the CH4 formation rate in sediments of widely different tropical reservoirs can be predicted from sediment age and total nitrogen concentration. CH4 formation occurs predominantly in sediment layers younger than 6-12 years and beyond these layers sediment organic carbon may be considered effectively buried. Hence mitigating reservoir CH4 emission via improving nutrient management and thus reducing organic matter supply to sediments is within reach. Our model of sediment CH4 formation represents a first step towards constraining reservoir CH4 emission from sediment characteristics.

Place, publisher, year, edition, pages
2019. Vol. 9, article id 11017
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-387547DOI: 10.1038/s41598-019-47346-7ISI: 000477702400001PubMedID: 31358820OAI: oai:DiVA.org:uu-387547DiVA, id: diva2:1329353
Funder
EU, FP7, Seventh Framework Programme, 336642Available from: 2019-06-24 Created: 2019-06-24 Last updated: 2019-09-24Bibliographically approved

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Isidorova, AnastasijaGrasset, CharlotteMendonca, RaquelSobek, Sebastian
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