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

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Bibtex

@article{6b78965f2dc0494cbf65d03d1c4e7a7b,
title = "Bayesian calibration method used to elucidate carbon turnover in forest on drained organic soil",
abstract = "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.",
keywords = "sensible heat flux, latent heat flux, respiration, net ecosystem exchange, spruce forest, drained soils, simulations, eddy covariance, chambers, biomass",
author = "Leif Klemedtsson and Per-Erik Jansson and David Gustafsson and Louise Karlberg and Per Weslien and {von Arnold}, Karin and Maria Ernfors and Ola Langvall and Anders Lindroth",
year = "2008",
doi = "10.1007/s10533-007-9169-0",
language = "English",
volume = "89",
pages = "61--79",
journal = "Biogeochemistry",
issn = "1573-515X",
publisher = "Springer",
number = "1",

}