Summary
This paper examines practical and theoretical approaches to initialising the Rothamsted Carbon (RothC) model, a widely-used soil carbon dynamics model, with particular attention to how different methods for estimating soil organic carbon equilibrium affect model outputs. Drawing on long-term experimental data from Rothamsted Research, the authors evaluate the implications of initialisation choices for predicting future SOC changes under different management and climate scenarios. The work contributes methodological guidance for researchers and practitioners using process-based soil carbon models in agricultural and environmental assessments.
UK applicability
Directly applicable to UK farming and soil monitoring practice. Rothamsted Research's experimental sites provide the empirical foundation; improved initialisation methods would enhance the reliability of carbon predictions used in UK agro-environmental policy and soil health assessments.
Key measures
Soil organic carbon (SOC) equilibrium states; RothC model initialisation parameters; model sensitivity to initialisation methods
Outcomes reported
The study evaluated different initialisation methods for the RothC soil carbon model and their implications for estimating soil organic carbon (SOC) equilibrium states. It assessed how methodological choices affect model accuracy and long-term carbon predictions in agricultural soils.
Topic tags
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