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

“Hot spots” of N and C impact nitric oxide, nitrous oxide and nitrogen gas emissions from a UK grassland soil

Nadine Loick, E. R. Dixon, Diego Ábalos, Antonio Vallejo, Peter J. Matthews, Karen McGeough, Catherine Watson, Elizabeth M. Baggs, L. M. Cardenas

Geoderma · 2017

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Summary

This controlled laboratory study employed the DENIS incubation system to investigate how spatial heterogeneity in soil nutrient distribution ('hot spots' of nitrogen and carbon) influences gaseous nitrogen losses from UK grassland soil. By distinguishing between nitrification and denitrification pathways, the work demonstrates that the spatial patchiness of nutrients, rather than total nutrient content alone, may be a critical driver of NO, N₂O and N₂ emissions. The findings suggest that understanding soil micro-scale heterogeneity is essential for predicting nitrogen losses from fertilised grasslands.

UK applicability

The findings are directly applicable to UK grassland management practices, particularly regarding the spatial application of organic and inorganic fertilisers. Results may inform strategies to minimise nitrous oxide emissions—a potent greenhouse gas—from UK pastoral systems, though field-scale validation would strengthen the practical applicability of the laboratory observations.

Key measures

Gaseous nitrogen emissions (NO, N₂O, N₂); relative contribution of denitrification and nitrification pathways to NO production

Outcomes reported

The study measured emissions of nitric oxide (NO), nitrous oxide (N₂O), and nitrogen gas (N₂) from UK grassland soil under controlled laboratory conditions, examining how localised distributions of nitrogen and carbon ('hot spots') influence these gaseous nitrogen losses.

Theme
Climate & resilience
Subject
Grassland & pasture systems
Study type
Research
Study design
Laboratory incubation experiment
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Pasture-based livestock
DOI
10.1016/j.geoderma.2017.06.007
Catalogue ID
BFmobghqjf-3xdd3a

Topic tags

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