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 peer-reviewed study employed the DailyDayCent biogeochemical model to simulate nitrous oxide emissions from UK cropland and grassland systems, accounting for spatial heterogeneity and year-to-year variation. As suggested by the title and authorship, the work represents a computational modelling effort linking soil processes, management practices, and climatic drivers to predict N₂O emissions at landscape scales. The findings contribute to understanding agricultural greenhouse gas inventories and mitigation potential in temperate farming systems.

UK applicability

This study is directly applicable to UK farming systems and policy contexts, having been conducted with UK-specific data and parameterisation. The results inform national agricultural greenhouse gas inventories and support evidence-based climate mitigation strategies for cropland and grassland management in the United Kingdom.

Key measures

Nitrous oxide (N₂O) emissions, spatial variation, inter-annual variation, cropland emissions, grassland emissions, modelled using DailyDayCent

Outcomes reported

The study modelled spatial and inter-annual variations in nitrous oxide (N₂O) emissions from UK cropland and grassland using the DailyDayCent biogeochemical model. The research quantified greenhouse gas emissions across different agricultural land use types and climatic conditions in the United Kingdom.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Mixed farming
DOI
10.1016/j.agee.2017.08.032
Catalogue ID
BFmou2m2lh-6tej3d

Topic tags

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