Predictive modelling of C dynamics in the long‐term fertilization experiment at Bad Lauchstädt with the Rothamsted Carbon Model
By Bernard Ludwig, Elke Schulz, Janet Rethemeyer, Ines Merbach, H. Flessa. 2007
100 citations recorded by the source corpus.
Models are important for predicting how soil organic carbon alters with changing environment and management. We tested three different ways of parameterizing the Rothamsted Carbon Model in four treatments from the long‐term static fertilization experiment at Bad Lauchstädt. Four bare fallow plots were also used to test different ways of parameterizing the model. Model version 1 used Δ14C to estimate the amount of inert organic matter whereas in versions 2 and 3 a long‐term bare fallow treatment was used to estimate this amount. In version 1, C inputs were optimized from the long‐term data. In version 2, crop inputs were estimated from published functions that relate C inputs to crop yields. In version 3, C inputs (average or minimum data) were taken from actual measurements of crop and root residues. In both versions 2 and 3, rhizodeposition was included as additional input of 50% (winter wheat, spring barley) or 35% (potatoes, sugar beet) of the C input by crop and root residues. The performance of the three versions decreased in the order 3 > 2 ≫ 1. Model efficiency and root mean square error were 0.86 and 6.1 for version 3 and 0.81 and 7.0 for version 2. Overall, our results indicate the need for a long‐term treatment for calibration. Setting total C inputs as a function of crop yield performed satisfactorily. Measurements of crop and root residues gave a good representation of total C inputs when carbon from rhizodeposition was included as additional input.
Subfields: Environmental Chemistry, Pollution, Soil Science
View Paper: https://www.semanticscholar.org/paper/475b321e95e7ed4212f45450921c87e7a32d96d5
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In Environmental Chemistry
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Citations in the corpus
- Long-term effects of organic farming on fungal and bacterial residues in relation to microbial energy metabolism (2010, methodology): “An important reason for the positive effects of organic farming is the application of farmyard manure (Raupp and Oltmanns 2006), as demonstrated in the DOK trial and in several other long-term field experiments (Edmeades 2003; Ludwig et al. 2007; Heinze et al. 2009).”