Summary
Romero-Ruiz et al. present a systematic modelling framework for quantifying soil compaction caused by grazing livestock and its recovery through biological processes. The model integrates rheology-based compaction mechanics with dual-porosity permeability theory and empirical recovery models, successfully reproducing field-measured changes in bulk density, macroporosity and hydraulic conductivity from a New Zealand grazing study. The framework enables agro-ecosystem modelling applications to assess environmental impacts such as surface runoff and greenhouse gas emissions under different livestock-grazing management scenarios.
UK applicability
The modelling framework is potentially applicable to UK grazing systems, though the calibration was performed on New Zealand data; UK adoption would require validation against local soil types, rainfall regimes, and livestock management practices. The approach could inform UK policy on sustainable grassland management and environmental impact assessment of pastoral farming.
Key measures
Bulk density, macroporosity, saturated hydraulic conductivity, soil compaction extent and recovery trajectories
Outcomes reported
The study developed and validated a quantitative modelling framework that predicts spatial and temporal changes in soil bulk density, porosity, and saturated hydraulic conductivity resulting from livestock treading, coupled with soil structure recovery driven by biological activity. Model predictions were tested against field data from a grazing experiment in New Zealand, demonstrating effective capture of primary compaction and recovery effects.
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