Summary
This study applied the DailyDayCent mechanistic model to characterise spatial and inter-annual variation in nitrous oxide emissions from UK croplands and grasslands using field measurement data from multiple sites and years. The work demonstrates that process-based modelling can capture both site-specific and temporal variation in N₂O emissions, with implications for greenhouse gas inventory estimation and climate mitigation policy. Model performance appears to vary with soil type, climate, and management intensity, suggesting the need for site-specific calibration in some contexts.
UK applicability
The findings are directly applicable to UK agricultural policy and practice, particularly for meeting greenhouse gas reporting requirements under the UNFCCC and for designing spatially targeted mitigation strategies. The multi-site dataset and model calibration provide evidence base for predicting N₂O emissions under different UK soil, climate, and management scenarios.
Key measures
Nitrous oxide (N₂O) emission rates (likely in kg N₂O-N ha⁻¹ or similar), modelled versus measured emissions across multiple sites, soil types, climate conditions, and management practices
Outcomes reported
The study quantified spatial and inter-annual variability in nitrous oxide emissions from UK croplands and grasslands using the DailyDayCent biogeochemical model, integrated with multi-site field measurement data. The work evaluated the model's capacity to represent N₂O dynamics at landscape and national scales for greenhouse gas inventory purposes.
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