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

Changes in soil organic carbon under perennial crops

Alicia Ledo, Pete Smith, Ayalsew Zerihun, Jeanette Whitaker, José Luis Vicente‐Vicente, Zhangcai Qin, Niall P. McNamara, Yuri Lopes Zinn, Mireia Llorente, Mark A. Liebig, Matthias Kuhnert, Marta Dondini, Axel Don, Eugenio Díaz‐Pinés, Ashim Datta, Haakon Bakka, Eduardo Aguilera, Jon Hillier

Global Change Biology · 2020

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Summary

This global meta-analysis quantifies soil organic carbon dynamics under perennial crops by synthesizing paired-comparison empirical data across multiple crop types (grasses, palms, woody plants) and end uses. Converting from annual cropping to perennials increased SOC by 20% in the upper 30 cm (6.0 ± 4.6 Mg/ha) and 10% over 0–100 cm (5.7 ± 10.9 Mg/ha) over 20 years, with woody crops showing the strongest accumulation. The work supports perennialization as a climate mitigation strategy, though conversion from natural pasture or forest showed minimal or negative SOC outcomes depending on soil depth.

UK applicability

The findings are applicable to UK perennial crop adoption strategies, particularly for woody biomass and agroforestry systems under temperate conditions; however, the study's global dataset may obscure region-specific responses to UK soil, climate, and management conditions. UK policy frameworks promoting perennial crops for carbon sequestration should account for the substantial variability observed (±4.6–10.9 Mg/ha) and context-dependency on land use history and site factors.

Key measures

Soil organic carbon stocks (Mg/ha) at 0–30 cm and 0–100 cm soil depth; percentage change in SOC following land use conversion; temporal accumulation of SOC under perennial crop cycles

Outcomes reported

The study quantified changes in soil organic carbon (SOC) stocks when converting from annual to perennial crops, and from natural pasture or forest to perennial crops, across multiple crop types and global locations. It developed an empirical model to predict SOC dynamics as a function of time, land use, and site characteristics including temperature, crop age, soil bulk density, clay content, and depth.

Theme
Farming systems, soils & land use
Subject
Soil carbon & organic matter
Study type
Meta-analysis
Study design
Meta-analysis
Source type
Peer-reviewed study
Status
Published
Geography
Global
System type
Agroforestry
DOI
10.1111/gcb.15120
Catalogue ID
BFmou2mefv-o67cfx

Topic tags

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