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

Is the topsoil carbon sequestration potential underestimated of agricultural soils under best management?

Zheng Zhao, Tong Li, Kun Cheng, Genxing Pan

Soil and Tillage Research · 2025

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Summary

This study identifies a significant methodological bias in assessing soil carbon sequestration under agricultural best management practices. Standard fixed-depth measurement protocols systematically underestimate carbon sequestration gains by approximately 25.2% because BMPs reduce bulk density and expand topsoil depth. The authors propose adoption of a calibrated-depth approach based on equivalent soil mass, alongside improved measurement protocols for soil depth and bulk density determination, to enable more accurate monitoring of carbon gains in managed agricultural systems.

UK applicability

The methodological framework is applicable to UK agricultural monitoring systems, particularly as UK policy increasingly emphasises nature-based climate mitigation through soil carbon sequestration. Adoption of these improved measurement protocols could enhance the reliability of UK soil carbon monitoring schemes and carbon credit verification under agri-environment programmes.

Key measures

Soil organic carbon stock changes (%, magnitude of underestimation), bulk density, topsoil depth, equivalent soil mass-based depth calibration

Outcomes reported

The study quantified the extent to which fixed-depth measurement protocols underestimate soil organic carbon sequestration gains under agricultural best management practices. The authors demonstrated that adopting a calibrated-depth approach based on equivalent soil mass provides more accurate monitoring of carbon stock changes.

Theme
Measurement & metrics
Subject
Soil carbon & organic matter
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
China
System type
Arable cereals
DOI
10.1016/j.still.2025.106528
Catalogue ID
SNmov0fsyd-rwp3qv

Topic tags

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