Simulated responses of soil carbon to climate change in CMIP6 Earth system models: the role of false priming
Varney, RM; Chadburn, SE; Burke, EJ; et al.Jones, S; Wiltshire, AJ; Cox, PM
Date: 19 September 2023
Journal
Biogeosciences
Publisher
Copernicus Publications / European Geosciences Union
Publisher DOI
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Abstract
Reliable estimates of soil carbon change are required to determine the carbon budgets consistent with the Paris Agreement climate targets. This
study evaluates projections of soil carbon during the 21st century in Coupled Model Intercomparison Project Phase 6 (CMIP6) Earth system models (ESMs) under a range of atmospheric compositio ...
Reliable estimates of soil carbon change are required to determine the carbon budgets consistent with the Paris Agreement climate targets. This
study evaluates projections of soil carbon during the 21st century in Coupled Model Intercomparison Project Phase 6 (CMIP6) Earth system models (ESMs) under a range of atmospheric composition
scenarios. In general, we find a reduced spread of changes in global soil carbon (ΔCs) in CMIP6 compared to the previous CMIP5
model generation. However, similar reductions were not seen in the derived contributions to ΔCs due to both increases in plant net primary productivity (NPP, named ΔCs,NPP) and reductions in the effective soil carbon turnover time (τs, named
ΔCs,τ). Instead, we find a strong relationship across the CMIP6 models between these NPP and τs components of
ΔCs, with more positive values of ΔCs,NPP being correlated with more negative values of
ΔCs,τ. We show that the concept of “false priming” is likely to be contributing to this emergent relationship, which leads
to a decrease in the effective soil carbon turnover time as a direct result of NPP increase and occurs when the rate of increase in NPP is
relatively fast compared to the slower timescales of a multi-pool soil carbon model. This finding suggests that the structure of soil carbon models
within ESMs in CMIP6 has likely contributed towards the reduction in the overall model spread in future soil carbon projections since CMIP5.
Mathematics and Statistics
Faculty of Environment, Science and Economy
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