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

Quantifying N2O reduction to N2 during denitrification in soils via isotopic mapping approach: Model evaluation and uncertainty analysis

Di Wu, Reinhard Well, L. M. Cardenas, Roland Fuß, Dominika Lewicka‐Szczebak, Jan Reent Köster, Nicolas Brüggemann, Roland Bol

Environmental Research · 2019

Read source ↗ All evidence

Summary

This 2019 study presents an isotopic mapping approach to quantify the efficiency of N2O reduction to N2 during denitrification in soils, a critical but poorly constrained step in the nitrogen cycle. The authors evaluate model performance and analyse sources of uncertainty in these estimates. As suggested by the authorship and methodology, this work contributes to improved measurement protocols for quantifying incomplete denitrification—a significant source of agricultural greenhouse gas emissions.

UK applicability

The isotopic methods and uncertainty framework developed here are directly applicable to UK agricultural soils, where denitrification from fertiliser nitrogen is a material greenhouse gas source. Improved quantification of N2O:N2 ratios could support better emissions inventories and inform soil management practices to promote complete denitrification.

Key measures

Isotopic ratios of nitrogen oxides; N2O reduction efficiency; model uncertainty estimates; denitrification pathway quantification

Outcomes reported

The study quantifies the proportion of nitrous oxide (N2O) reduced to dinitrogen (N2) during soil denitrification using isotopic mapping approaches. The research evaluates model performance and characterises uncertainty in these measurements across different soil conditions.

Theme
Measurement & metrics
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Laboratory experiment with model evaluation and uncertainty analysis
Source type
Peer-reviewed study
Status
Published
Geography
Europe
System type
Laboratory / in vitro
DOI
10.1016/j.envres.2019.108806
Catalogue ID
BFmou2m2lh-8dxf7z

Topic tags

Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.