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TitleUpscaling methane fluxes from closed chambers to eddy covariance based on a permafrost biogeochemistry integrated model
AuthorZhang, YORCID logo; Sachs, T; Li, C; Boike, J
SourceGlobal Change Biology vol. 18, 2012 p. 1428-1440, Open Access logo Open Access
Alt SeriesEarth Sciences Sector, Contribution Series 20110086
Mediapaper; on-line; digital
File formatpdf
AreaLena River Delta; Russian Federation
Lat/Long WENS 125.0000 130.0000 84.0000 83.0000
Subjectssurficial geology/geomorphology; environmental geology; Nature and Environment; permafrost; freezing ground; ground ice; ground temperatures; methane; methane geochemistry; biogeochemistry; peatlands; models; modelling; climate; climate effects; Climate change; Cenozoic; Quaternary
Illustrationslocation maps; photographs; plots
ProgramClimate Change Geoscience
Released2011 12 15
AbstractNorthern peatlands are a major natural source of methane (CH4) to the atmosphere. Permafrost conditions and spatial heterogeneity are two of the major challenges for estimating CH4 fluxes from the northern high latitudes. This study reports the development of a new model to upscale CH4 fluxes from plant communities to ecosystem scale in permafrost peatlands by integrating an existing biogeochemical model DeNitrification-DeComposition (DNDC) with a permafrost model Northern Ecosystem Soil Temperature (NEST). A new ebullition module was developed to track the changes of bubble volumes in the soil profile based on the ideal gas law and Henry's law. The integrated model was tested against observations of CH4 fluxes measured by closed chambers and eddy covariance (EC) method in a polygonal permafrost area in the Lena River Delta, Russia. Results from the tests showed that the simulated soil temperature, summer thaw depths and CH4 fluxes were in agreement with the measurements at the five chamber observation sites; and the modeled area-weighted average CH4 fluxes were similar to the EC observations in seasonal patterns and annual totals although discrepancy existed in shorter time scales. This study indicates that the integrated model, NEST - DNDC, is capable of upscaling CH4 fluxes from plant communities to larger spatial scales.

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