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

Impacts of climate change on crop production and soil carbon stock in a continuous wheat cropping system in southeast England

Shuo Liang, Nan Sun, Jeroen Meersmans, Bernard Longdoz, Gilles Colinet, Minggang Xu, Lianhai Wu

Agriculture Ecosystems & Environment · 2024

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Summary

This modelling study used the SPACSYS crop–soil model, calibrated against over a century of Broadbalk long-term experiment data, to project climate change impacts on continuous winter wheat production and soil carbon storage in southeast England through 2100. Under all future climate scenarios examined, atmospheric CO₂ fertilisation drove projected yield increases of 5.8–13.5%, whilst soil organic carbon responses varied by fertilisation practice and climate scenario. The findings suggest that manure-based fertilisation strategies offer a more sustainable approach than chemical fertiliser alone for maintaining or enhancing both yield and soil carbon sequestration under projected future climates.

UK applicability

These findings are directly applicable to UK arable farming, particularly in southeast England where the model was calibrated. The study provides evidence-based projections for long-term planning of fertilisation strategies under climate change, relevant to UK policy on sustainable intensification and soil health.

Key measures

Grain yield (% change); soil organic carbon stock dynamics; total nitrogen stock; atmospheric CO₂ concentration effects; soil respiration rates under future climate scenarios

Outcomes reported

The study projected grain yield and soil organic carbon (SOC) stock changes for continuous winter wheat through 2100 under three climate scenarios (RCP2.6, RCP4.5, RCP8.5) and six fertilisation treatments. Simulations were calibrated and validated against over a century of observational data from the Broadbalk long-term experiment.

Theme
Climate & resilience
Subject
Climate & greenhouse gas mitigation
Study type
Research
Study design
Modelling study with calibration against long-term experimental data
Source type
Peer-reviewed study
Status
Published
Geography
United Kingdom
System type
Arable cereals
DOI
10.1016/j.agee.2024.108909
Catalogue ID
SNmov0g4z1-uctbr4

Topic tags

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