%0 Conference Paper
%A Petersen, B.M.
%A Berntsen, J.
%D 2004
%F orgprints:4655
%P 59
%T Modelling soil C and 14C development
%U https://orgprints.org/id/eprint/4655/
%X In order to achieve predictive abilities for both short- and long-term simulations, soil organic matter (SOM) models should be developed on the basis of as large and diverse a data-set as possible.    Many SOM models have parameters, where the criteria for estimating their values are not transparent, and few models have been subject to a formal sensitivity analysis regarding the influence of parameter settings.    There is presently a lack of experimental methods to verify the partitioning of SOM into conceptual compartments or pools, and to determine the turnover rate and other characteristics for each. These pool characteristics can thus only be determined indirectly by model calibration. If the model has several SOM pools, then several parameters may be confounded and thereby difficult to estimate.    The novel model CN-SIM describes the flow of C and N in the soil. Organic matter is represented by seven different pools: two for added matter, two for soil microbial biomass, one for microbial residues, one for native (“humified”) organic matter, and one for inert organic matter. The latter pool may represent both truly inert matter, and matter with a very slow turnover.     The parameters relating to long-term turnover are estimated based on a large number of selected carbon and radiocarbon field data from United Kingdom, Sweden and Denmark. Statistical methods were employed to estimate parameters, and obtain proximate confidence intervals for these parameters. Cross-validation was used to assess how the model performed on data not used for parameterisation. The parameters for water, temperature and clay responses were all taken from literature. In addition to these, 10 parameters were estimated by optimisation based on both laboratory- and field-data.     Simulations in good agreement with measured values were achieved, using the same set of parameters for all sites.     Results from bare fallow experiments have served to parameterise SOM models, utilising their assumed “pure” decay. The present study questions the validity of the common assumption of literally no C input to bare fallow, which may affect future parameterisation of SOM models.    The performed scenarios illustrate the large impact of different initial conditions and types of land use on long-term C sequestration.