Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

Soil carbon sequestration rates under Mediterranean woody crops using recommended management practices: A meta-analysis

José Luis Vicente‐Vicente, Roberto García‐Ruiz, Rosa Francaviglia, Eduardo Aguilera, Pete Smith

Agriculture Ecosystems & Environment · 2016

Read source ↗ All evidence

Summary

This meta-analysis synthesises published data on soil carbon sequestration rates under recommended management practices in Mediterranean woody cropping systems. The authors quantitatively integrated results from field studies to estimate mean sequestration potentials and identify which agronomic interventions (such as cover cropping or reduced soil disturbance) most effectively enhance carbon storage in perennial Mediterranean agricultural systems. The findings suggest that certain management practices can generate meaningful carbon sequestration whilst maintaining productivity in woody crop agroecosystems.

UK applicability

Direct applicability to the United Kingdom is limited, as Mediterranean woody crops (olives, almonds) are not widespread in UK agriculture due to climate constraints. However, the methodological approach and management principles (e.g. minimising soil disturbance, incorporating organic matter) may inform UK agroforestry and perennial cropping systems under climate change scenarios.

Key measures

Soil carbon sequestration rate (tonnes C ha⁻¹ yr⁻¹); effect of management practices (e.g. cover crops, reduced tillage, organic amendment); soil depth and time horizon

Outcomes reported

The study synthesised quantitative data on soil carbon sequestration rates under recommended management practices in Mediterranean woody crops (olives, almonds, vineyards, and similar perennial systems). It aggregated findings from multiple field studies to estimate mean sequestration rates and identify management factors influencing carbon storage.

Theme
Climate & resilience
Subject
Soil carbon & organic matter
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
Europe
System type
Agroforestry
DOI
10.1016/j.agee.2016.10.024
Catalogue ID
BFmor3g9dh-yd0pee

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.