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

Can Regenerative Agriculture increase national soil carbon stocks? Simulated country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using RothC

Matthew W Jordon, Pete Smith, Peter R. Long, Paul‐Christian Bürkner, Gillian Petrokofsky, Kathy J. Willis

The Science of The Total Environment · 2022

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Summary

This modelling study assessed whether regenerative agriculture practices could increase national soil carbon stocks in Great Britain by simulating country-scale adoption of reduced tillage, cover cropping, and ley-arable integration using the RothC model. Ley-arable integration showed meaningful carbon sequestration potential varying with ley-phase length, whilst reduced tillage produced little change in soil carbon stocks. The authors conclude that regenerative practices could contribute meaningfully to UK agriculture achieving net zero emissions, though practical uptake constraints remain.

UK applicability

This study directly models Great Britain conditions and provides evidence-based estimates of soil carbon sequestration potential under different regenerative practice scenarios. The findings are directly applicable to UK agricultural policy and net zero pathway planning, though the authors note practical constraints to adoption merit further investigation.

Key measures

Soil carbon stocks (tonnes per hectare); carbon sequestration over 30 years; ley-phase duration effects (1 and 4 years); net zero greenhouse gas emissions contribution

Outcomes reported

The study modelled soil carbon stock changes over 30 years under adoption of three regenerative agriculture practices (reduced tillage, cover cropping, and ley-arable integration) at country scale using RothC soil carbon model. It quantified potential greenhouse gas mitigation contribution to net zero targets and identified practical constraints to uptake.

Theme
Climate & resilience
Subject
Soil carbon & organic matter
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.scitotenv.2022.153955
Catalogue ID
SNmov5ku7f-cuwckk

Topic tags

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