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Spatially resolved measurements of CO2 and CH4 concentration and gasexchange velocity highly influence carbon emission estimates of reservoirs
Institute of Biological Sciences, Federal University of Juiz de Fora, Minas Gerais, 36036-900, Brazil.
Institute of Biological Sciences, Federal University of Juiz de Fora, Minas Gerais, 36036-900, Brazil.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology. Institute of Biological Sciences, Federal University of Juiz de Fora, Minas Gerais, 36036-900, Brazil.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Ecology and Genetics, Limnology.ORCID iD: 0000-0002-3609-5107
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(English)In: Article in journal (Refereed) Epub ahead of print
Abstract [en]

The magnitude of diffusive carbon dioxide (CO2) and methane (CH4) emission from man-made reservoirs is uncertain as the spatial variability generally is not well represented. Here we examine the spatial variability and its drivers for partial pressure, gas exchange velocity (k) and diffusive flux of CO2 and CH4 in three tropical reservoirs, using spatially resolved measurements of both gas concentrations and k. We observed high spatial variability in CO2 and CH4 concentration and flux within all three reservoirs, with river inflow areas generally displaying elevated CH4 concentration. Conversely, areas close to the dam are generally characterized by low concentrations, and are therefore not likely to be representative for the whole system. A large share (44-83%) of the within-reservoir variability of gas concentration was explained by dissolved oxygen, pH, chlorophyll, water depth and within-reservoir location. High spatial variability in k was observed, and kCH4 was persistently higher (on average 2.5 times) than kCO2 . Not accounting for the within-reservoir variability in concentrations and k may lead to up to 80% underestimation of whole-system diffusive emission of CO2 and CH4 . Our findings provide valuable information on how to develop field-sampling strategies to reliably capture the spatial heterogeneity of diffusive carbon fluxes from reservoirs.

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URN: urn:nbn:se:uu:diva-337400DOI: 10.1021/acs.est.7b05138OAI: oai:DiVA.org:uu-337400DiVA: diva2:1169362
Available from: 2017-12-25 Created: 2017-12-25 Last updated: 2018-01-04Bibliographically approved

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Mendonça, RaquelLinkhorst, AnnikaIsidorova, AnastasijaSobek, Sebastian

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