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

Distribution of nitrous oxide emissions from managed organic soils under different land uses estimated by the peat C/N ratio to improve national GHG inventories

Jens Leifeld

The Science of The Total Environment · 2018

Read source ↗ All evidence

Summary

This paper addresses the challenge of quantifying nitrous oxide emissions from managed organic soils—a significant but poorly characterised source in national greenhouse gas inventories. Leifeld proposes that the peat C/N ratio can serve as a practical indicator to distribute N₂O emissions across different land uses (as suggested by the 2018 timeframe of GHG inventory methodologies). The approach aims to improve the accuracy and granularity of national-level GHG reporting for these carbon-rich, agriculturally managed systems.

UK applicability

The United Kingdom has extensive managed organic soils, particularly in Scotland, Northern England, and lowland England; this methodology could directly inform UK National Atmospheric Emissions Inventory (NAEI) reporting and compliance with EU/international GHG accounting standards, particularly relevant for peatland under agriculture or forestry management.

Key measures

Nitrous oxide emissions (N₂O) from managed organic soils; peat C/N ratios; land-use categorisation

Outcomes reported

The study estimates the distribution of nitrous oxide (N₂O) emissions from managed organic soils across different land-use categories. The research proposes using peat carbon-to-nitrogen (C/N) ratios as a proxy to improve national greenhouse gas inventory reporting for these systems.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Research
Study design
Field study with modelling approach
Source type
Peer-reviewed study
Status
Published
Geography
Europe
System type
Mixed farming
DOI
10.1016/j.scitotenv.2018.02.328
Catalogue ID
BFmovbmg6s-rkpgfj

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.