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Spatio-temporal patterns of stream methane and carbon dioxide emissions in a hemiboreal catchment in Southwest Sweden.
Natchimuthu, Sivakiruthika; Wallin, Marcus B; Klemedtsson, Leif; Bastviken, David.
Afiliação
  • Natchimuthu S; Department of Thematic Studies-Environmental Change, Linköping University, 581 83 Linköping, Sweden.
  • Wallin MB; Department of Earth Sciences, Uppsala University, 752 36 Uppsala, Sweden.
  • Klemedtsson L; Department of Ecology and Genetics/Limnology, Uppsala University, 752 36 Uppsala, Sweden.
  • Bastviken D; Department of Earth Sciences, University of Gothenburg, 405 30 Gothenburg, Sweden.
Sci Rep ; 7: 39729, 2017 01 03.
Article em En | MEDLINE | ID: mdl-28045092
Global stream and river greenhouse gas emissions seem to be as large as the oceanic C uptake. However, stream and river emissions are uncertain until both spatial and temporal variability have been quantified. Here we investigated in detail the stream CH4 and CO2 emissions within a hemiboreal catchment in Southwest Sweden primarily covered by coniferous forest. Gas transfer velocities (k600), CH4 and CO2 concentrations were measured with multiple methods. Our data supported modelling approaches accounting for various stream slopes, water velocities and discharge. The results revealed large but partially predictable spatio-temporal variabilities in k600, dissolved gas concentrations, and emissions. The variability in CO2 emission was best explained by the variability in k, while dissolved CH4 concentrations explained most of the variability in CH4 emission, having implications for future measurements. There were disproportionately large emissions from high slope stream reaches including waterfalls, and from high discharge events. In the catchment, stream reaches with low slope and time periods of moderate discharge dominated (90% of area and 69% of time). Measurements in these stream areas and time periods only accounted for <36% of the total estimated emissions. Hence, not accounting for local or episodic high emissions can lead to substantially underestimated emissions.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Rep Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Suécia