Global-Scale Convergence Obscures Inconsistencies in Soil Carbon Change Predicted by Earth System Models

Journal Article · 29 February 2024 · AGU Advances

DOI: https://doi.org/10.1029/2023av001068 · OSTI ID:2326277

Shi, Zheng  ^[1]; Hoffman, Forrest M.  ^[2]; Xu, Min  ^[2]; Mishra, Umakant ^[3]; Allison, Steven D. ^[4]; Zhou, Jizhong ^[1]; Randerson, James T.  ^[4]

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1. Univ. of Oklahoma, Norman, OK (United States)
2. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
3. Sandia National Lab. (SNL-CA), Livermore, CA (United States)
4. Univ. of California, Irvine, CA (United States)

Soil carbon (C) responses to environmental change represent a major source of uncertainty in the global C cycle. Feedbacks between soil C stocks and climate drivers could impact atmospheric CO₂ levels, further altering the climate. Here, we assessed the reliability of Earth system model (ESM) predictions of soil C change using the Coupled Model Intercomparison Project phases 5 and 6 (CMIP5 and CMIP6). ESMs predicted global soil C gains under the high emission scenario, with soils taking up 43.9 Pg (95% CI: 9.2–78.5 Pg) C on average during the 21st century. The variation in global soil C change declined significantly from CMIP5 (with average of 48.4 Pg [95% CI: 2.0–94.9 Pg] C) to CMIP6 models (with average of 39.3 Pg [95% CI: 23.9–54.7 Pg] C). For some models, a small C increase in all biomes contributed to this convergence. For other models, offsetting responses between cold and warm biomes contributed to convergence. Although soil C predictions appeared to converge in CMIP6, the dominant processes driving soil C change at global or biome scales differed among models and in many cases between earlier and later versions of the same model. Random Forest models, for soil carbon dynamics, accounted for more than 63% variation of the global soil C change predicted by CMIP5 ESMs, but only 36% for CMIP6 models. Although most CMIP6 models apparently agree on increased soil C storage during the 21st century, this consensus obscures substantial model disagreement on the mechanisms underlying soil C response, calling into question the reliability of model predictions.

• Research Organization: Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• Grant/Contract Number: NA0003525
• OSTI ID: 2326277
• Alternate ID(s): OSTI ID: 2333753
• Report Number(s): SAND--2024-03219J
• Journal Information: AGU Advances, Journal Name: AGU Advances Journal Issue: 2 Vol. 5; ISSN 2576-604X
• Publisher: WileyCopyright Statement
• Country of Publication: United States
• Language: English