Climate indices as predictors of global soil organic carbon stocks
Publication date
2024-09
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taverne
Abstract
Global soils store more carbon than the atmosphere and terrestrial vegetation combined, with a significant proportion located in colder regions. Earth system models incorporating climate-carbon feedback suggest that a warming climate can potentially destabilize soil carbon storage, leading to carbon release into the atmosphere. However, existing models are based on limited measurements of soil organic carbon (SOC) loss and a comprehensive global-scale climate indices that effectively characterizes climate-SOC relationships is currently lacking. In this study, we present a synthetic analysis that evaluates the effectiveness of different climate indices in estimating SOC stocks using a global compilation of SOC data and the Boltzmann Sigmoidal Model (BSM). Our findings reveal that a climate index, defined as (Formula presented.), where T and D are mean century temperature (MCT) and dryness respectively, serves as the most reliable predictor for SOC stocks. Furthermore, we observed temperature tipping points for SOC, ranging from −4.5 to −3°C for different soil layers. As the temperature transitions from being below to above the tipping point, the SOC shifts from a stable, high state to a rapid decline. An analysis of the projected temperatures for SOC under various future greenhouse gas emissions scenarios showed a northward shift in the northern hemisphere, potentially opening up vast areas of arctic territory to increased SOC loss from the soils, with corresponding emissions of the stored carbon into the atmosphere. Our findings open up new avenues for research on and management strategies for climate-related SOC dynamics.
Keywords
Boltzmann Sigmoidal Model, carbon-temperature patterns, climate indices, future projections, Soil organic carbon, Taverne, Geography, Planning and Development, Geology, SDG 13 - Climate Action, SDG 15 - Life on Land
Citation
Zhang, Q, Yi, C, Wohlfahrt, G, Chen, D, Rietkerk, M, Tian, Z, Wu, M, Kutter, E, Han, J, Hendrey, G & Xu, S 2024, 'Climate indices as predictors of global soil organic carbon stocks', Geografiska Annaler, Series A: Physical Geography, vol. 105, no. 2-3, pp. 179-196. https://doi.org/10.1080/04353676.2024.2335000