Summary
This paper addresses a technical challenge in applying the widely-used RothC model to predict soil organic carbon dynamics: how best to initialise the model when field measurements of soil carbon pools are incomplete or unavailable. By comparing multiple initialisation methods against empirical data from long-term field experiments (notably Rothamsted Research sites), the authors evaluate trade-offs between model complexity, data requirements, and predictive accuracy. The work suggests practical guidance for practitioners seeking to model soil carbon change under different farming and climate scenarios with limited initial characterisation data.
UK applicability
Directly applicable to UK soil carbon modelling and policy contexts, given the use of Rothamsted long-term field experiments and the model's established use in UK agricultural carbon auditing and climate change mitigation planning. Findings should inform best practice for initialising RothC in UK farm-scale and regional carbon accounting schemes.
Key measures
Soil organic carbon pools, model initialisation approaches, RothC parameter sensitivity, equilibrium state estimation
Outcomes reported
The study examined optimal methods for initialising the RothC soil carbon model, comparing different approaches to estimating soil organic carbon equilibrium state. The work evaluated how initialisation methodology affects model accuracy and predictive performance across contrasting soil and management scenarios.
Topic tags
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