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Drought-induced soil carbon dynamics in subtropical forests: emergent divergence from model structures
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DOI：10.5194/bg-23-4603-2026.png)
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Abstract. Accurately quantifying drought impacts on terrestrial carbon cycling is essential for advancing predictions of climate-carbon feedbacks. However; current biogeochemical models exhibit limited capability in simulating drought-induced transformations of soil organic carbon (SOC); particularly regarding microbial processes. Here; we conducted a systematic comparative evaluation of three prevailing SOC modeling structures; including conventional three-pool partitioning scheme (SM1); mineral and particulate- associated carbon partitioning scheme (SM2) and Michaelis-Menten regulated carbon-stabilization scheme (SM3); to elucidate their capacity in simulating soil carbon dynamics under decadal drought scenarios in a subtropical forest. We found divergent effects of drought in soil C input (SM1; 66 %; SM2; 10 %; SM3; −4 %) and mean residence time (MRT; SM1; −31 %; SM2; −14 %; SM3; 65 %); which lead to the predicted SOC substantial accumulation for both SM1 and SM3 (+39.5 % and +56.9 %; respectively) and moderate depletion (−6.1 %) for SM2. Drought leads to a decrease in microbial carbon and an increase in POC; while the responses of other carbon pools vary across different models. These findings highlight critical model structural dependencies in simulating drought-affected soil carbon dynamics and emphasize the necessity for models to integrate microbial-physicochemical interactions for improved climate-carbon coupling projections.
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