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Partitioning net ecosystem exchange of CO~2~ on the pedon scale in the Lena River Delta, Siberia by Tim Eckhardt; Christian Knoblauch; Lars Kutzbach; David Holl; Gillian Simpson; Evgeny Abakumov; Eva-Maria Pfeiffer is a Environmental Science article available to read on EtoBox.
What is Partitioning net ecosystem exchange of CO~2~ on the pedon scale in the Lena River Delta, Siberia about?
Abstract. Arctic tundra ecosystems are currently facing amplified rates of climate warming. Since these ecosystems store significant amounts of soil organic carbon, which can be mineralized to carbon dioxide (CO2) and methane (CH4), rising temperatures may cause increasing greenhouse gas fluxes to the atmosphere. To understand how net the ecosystem exchange (NEE) of CO2 will respond to changing climatic and environmental conditions, it is necessary to understand the individual responses of the processes contributing to NEE. Therefore, this study aimed to partition NEE at the soil–plant–atmosphere interface in an arctic tundra ecosystem and to identify the main environmental drivers of these fluxes. NEE was partitioned into gross primary productivity (GPP) and ecosystem respiration (Reco) and further into autotrophic (RA) and heterotrophic respiration (RH). The study examined CO2 flux data collected during the growing season in 2015 using closed-chamber measurements in a polygonal tundra landscape in the Lena River Delta, northeastern Siberia. To capture the influence of soil hydrology on CO2 fluxes, measurements were conducted at a water-saturated polygon center and a well-drained
Who reads Partitioning net ecosystem exchange of CO~2~ on the pedon scale in the Lena River Delta, Siberia?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Tim Eckhardt; Christian Knoblauch; Lars Kutzbach; David Holl; Gillian Simpson; Evgeny Abakumov; Eva-Maria Pfeiffer
- Publisher
- Copernicus GmbH; Göttingen: Copernicus Publ. (ISSN 1726-4189)
- Published
- 2019
- Language
- EN
- Field
- Environmental Science (Physical Sciences)