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Spatial versus Day-To-Day Within-Lake Variability in Tropical Floodplain Lake CH4 Emissions - Developing Optimized Approaches to Representative Flux Measurements
University of Federal Rio de Janeiro, Brazil.
University of Federal Rio de Janeiro, Brazil.
University of Federal Fluminense, Brazil.
Linköping University, The Tema Institute, Tema Environmental Change. Linköping University, Faculty of Arts and Sciences. University of Federal Rio de Janeiro, Brazil.
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2015 (English)In: PLoS ONE, ISSN 1932-6203, Vol. 10, no 4, e0123319- p.Article in journal (Refereed) Published
Abstract [en]

Inland waters (lakes, rivers and reservoirs) are now understood to contribute large amounts of methane (CH4) to the atmosphere. However, fluxes are poorly constrained and there is a need for improved knowledge on spatiotemporal variability and on ways of optimizing sampling efforts to yield representative emission estimates for different types of aquatic ecosystems. Low-latitude floodplain lakes and wetlands are among the most high-emitting environments, and here we provide a detailed investigation of spatial and day-to-day variability in a shallow floodplain lake in the Pantanal in Brazil over a five-day period. CH4 flux was dominated by frequent and ubiquitous ebullition. A strong but predictable spatial variability (decreasing flux with increasing distance to the shore or to littoral vegetation) was found, and this pattern can be addressed by sampling along transects from the shore to the center. Although no distinct day-to-day variability were found, a significant increase in flux was identified from measurement day 1 to measurement day 5, which was likely attributable to a simultaneous increase in temperature. Our study demonstrates that representative emission assessments requires consideration of spatial variability, but also that spatial variability patterns are predictable for lakes of this type and may therefore be addressed through limited sampling efforts if designed properly (e.g., fewer chambers may be used if organized along transects). Such optimized assessments of spatial variability are beneficial by allowing more of the available sampling resources to focus on assessing temporal variability, thereby improving overall flux assessments.

Place, publisher, year, edition, pages
Public Library of Science , 2015. Vol. 10, no 4, e0123319- p.
National Category
Earth and Related Environmental Sciences
URN: urn:nbn:se:liu:diva-117790DOI: 10.1371/journal.pone.0123319ISI: 000352590300092PubMedID: 25860229OAI: diva2:811274

Funding Agencies|Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPq); Capes; Swedish Research Council Vetenskapsradet; CNPq

Available from: 2015-05-11 Created: 2015-05-08 Last updated: 2015-05-12

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Enrich Prast, AlexBastviken, David
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