The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Default user image.

Anders Lindroth

Professor

Default user image.

Bayesian calibration method used to elucidate carbon turnover in forest on drained organic soil

Author

  • Leif Klemedtsson
  • Per-Erik Jansson
  • David Gustafsson
  • Louise Karlberg
  • Per Weslien
  • Karin von Arnold
  • Maria Ernfors
  • Ola Langvall
  • Anders Lindroth

Summary, in English

Depending on the balance between sink and source processes for C, drained organic forest soil ecosystems can be in balance or act as net sinks or sources of CO2 to the atmosphere. In order to study the effect of groundwater level and soil temperature on C-flux, the CoupModel was calibrated (climate data, groundwater levels, soil CO2 flux, net ecosystem fluxes of CO2-exchange, sensible heat flux and latent heat flux, forest production etc.) for a drained forest in Sweden. Bayesian calibration techniques were used to elucidate how different parameters and variables were interlinked in C-circulation. The calibrated model reproduced abiotic and biotic variables reasonably well except for root respiration, which was largely underestimated. Bayesian calibration reduced the uncertainties in the model and highlighted the fact that calibrations should be performed with a high number of parameters instead of specific parameter values.

Department/s

  • Dept of Physical Geography and Ecosystem Science

Publishing year

2008

Language

English

Pages

61-79

Publication/Series

Biogeochemistry

Volume

89

Issue

1

Document type

Journal article

Publisher

Springer

Topic

  • Physical Geography

Keywords

  • sensible heat flux
  • latent heat flux
  • respiration
  • net ecosystem exchange
  • spruce forest
  • drained soils
  • simulations
  • eddy covariance
  • chambers
  • biomass

Status

Published

ISBN/ISSN/Other

  • ISSN: 1573-515X