Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Modelling spatial and inter-annual variations of nitrous oxide emissions from UK cropland and grasslands using DailyDayCent

Nuala Fitton, Arindam Datta, Joanna M. Cloy, Robert M. Rees, K. Topp, M.J. Bell, L. M. Cardenas, J. R. Williams, Kate E. Smith, R. E. Thorman, Catherine J. Watson, Karen McGeough, Matthias Kuhnert, Astley Hastings, Steven Anthony, David R. Chadwick, Pete Smith

Agriculture Ecosystems & Environment · 2017

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Summary

This modelling study applied the DailyDayCent biogeochemical model to simulate nitrous oxide emissions from UK cropland and grassland systems, capturing both spatial heterogeneity and inter-annual variability. The work represents an attempt to improve predictive understanding of N₂O release from contrasting UK agricultural land uses across multiple institutions. Such spatially-explicit, temporally-resolved modelling approaches are relevant to estimating agricultural greenhouse gas inventories and informing emissions-reduction strategies in UK farming.

UK applicability

The study is directly applicable to UK agricultural conditions, having been parameterised with UK field data and representative of the range of soil types, climates and management practices found across UK cropland and grassland systems. The findings support evidence-based greenhouse gas inventory estimation and the design of regionally-tailored emissions mitigation strategies for UK agriculture.

Key measures

Nitrous oxide (N₂O) emissions (spatial and temporal variation); soil properties; management practices; climate variables

Outcomes reported

The study modelled spatial heterogeneity and inter-annual variability in N₂O emissions across UK cropland and grassland systems using the DailyDayCent biogeochemical model. Results characterised emissions patterns across contrasting agricultural land uses and soil–climate conditions representative of the UK.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Research
Study design
Modelling study
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Mixed farming
DOI
10.1016/j.agee.2017.08.032
Catalogue ID
BFmovi1pkk-tljfbb

Topic tags

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