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Spatial versus Day-To-Day Within-Lake Variability in Tropical Floodplain Lake CH(4) Emissions – Developing Optimized Approaches to Representative Flux Measurements

Inland waters (lakes, rivers and reservoirs) are now understood to contribute large amounts of methane (CH(4)) 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 repres...

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Detalles Bibliográficos
Autores principales: Peixoto, Roberta B., Machado-Silva, Fausto, Marotta, Humberto, Enrich-Prast, Alex, Bastviken, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4393096/
https://www.ncbi.nlm.nih.gov/pubmed/25860229
http://dx.doi.org/10.1371/journal.pone.0123319
Descripción
Sumario:Inland waters (lakes, rivers and reservoirs) are now understood to contribute large amounts of methane (CH(4)) 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. CH(4) 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.