Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1111/ejss.13148
Licence creative commons licence
Title (Primary) Applying CCB to predict management change affected long-term SOM turnover of the Extended Static Fertilization Experiment in Bad Lauchstädt
Author Franko, U.; Diel, J.; Ruehlmann, J.
Source Titel European Journal of Soil Science
Year 2022
Department BOSYS
Volume 73
Issue 1
Page From e13148
Language englisch
Topic T5 Future Landscapes
Supplements https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Fejss.13148&file=ejss13148-sup-0001-supinfo.pdf
Keywords modelling, soil organic matter, model calibration, model re-start, steady state, field experiment
Abstract

Long-term field experiments (LTEs) are an invaluable source to improve understanding of soil organic matter (SOM) turnover, as some of the involved processes are proceeding over centuries. Prediction of such slow carbon fluxes depends especially on the initialisation of slow reacting model pools and requires monitoring for a very long time for evaluation.

This study reports soil organic matter (SOM) modelling covering more than 100 years for a dataset of 36 treatments of the “Extended Static Experiment” that is based on the classical “Static Experiment Bad Lauchstädt”. The experimental scheme includes different fertilisation treatments where the plots are arranged in two field stripes. A special feature of this experiment is the management change for each stripe after seven decades of continuous cultivation that includes a considerable alteration of organic amendments on different SOM levels.

The CCB model was calibrated for SOC dynamics regarding initial SOC content and one parameter describing the physical protection of SOM. Calibration was performed for each plot individually, for each stripe, and for the whole experiment resulting in a relative root mean square error (rRMSE, [-]) of 0.050, 0.058 and 0.064 respectively. Model predictions for SON dynamics were satisfactory using the calibration results for SOC and the average C/N ratio from all observations within this dataset (11.8) for model initialisation. The model error for SON prediction reached from rRMSE=0.09 (whole experiment) over rRMSE=0.085 (each stripe) to rRMSE=0.084 (each plot). Calibration results suggest some heterogeneity between the two field stripes.

Restarting the model after the management change in 1978 using the plot specific calculated SOC value from previous simulations for the whole time period provided different results of predicted SOC trends and values suggesting that the precondition of a SOM in steady state was still not fulfilled after seven decades.

 

Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24892
Franko, U., Diel, J., Ruehlmann, J. (2022):
Applying CCB to predict management change affected long-term SOM turnover of the Extended Static Fertilization Experiment in Bad Lauchstädt
Eur. J. Soil Sci. 73 (1), e13148 10.1111/ejss.13148