Diffusion limitations and Michaelis–Menten kinetics as drivers of combined temperature and moisture effects on carbon fluxes of mineral soils
CO2 production in soils responds strongly to changes in temperature and moisture, but the magnitude of such responses at different timescales remains difficult to predict. Knowledge of the mechanisms leading to the often observed interactions in the effects of these drivers on soil CO2 emissions is...
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Veröffentlicht in: | Biogeosciences 2018-08, Vol.15 (16), p.5031-5045 |
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Zusammenfassung: | CO2 production in soils responds strongly to changes in temperature
and moisture, but the magnitude of such responses at different timescales
remains difficult to predict. Knowledge of the mechanisms leading to the
often observed interactions in the effects of these drivers on soil
CO2 emissions is especially limited. Here we test the ability of
different soil carbon models to simulate responses measured in soils
incubated at a range of moisture levels and cycled through 5, 20, and
35 ∘C. We applied parameter optimization methods while modifying two
structural components of models: (1) the reaction kinetics of decomposition
and uptake and (2) the functions relating fluxes to soil moisture. We found
that the observed interactive patterns were best simulated by a model using
Michaelis–Menten decomposition kinetics combined with diffusion of dissolved
carbon (C) and enzymes. In contrast, conventional empirical functions that scale
decomposition rates directly were unable to properly simulate the main
observed interactions. Our best model was able to explain 87 % of the
variation in the data. Model simulations revealed a central role of
Michaelis–Menten kinetics as a driver of temperature sensitivity variations
as well as a decoupling of decomposition and respiration C fluxes in the
short and mid-term, with general sensitivities to temperature and moisture
being more pronounced for respiration. Sensitivity to different model
parameters was highest for those affecting diffusion limitations, followed by
activation energies, the Michaelis–Menten constant, and carbon use
efficiency. Testing against independent data strongly validated the model
(R2=0.99) and highlighted the importance of initial soil C pool
conditions. Our results demonstrate the importance of model structure and the
central role of diffusion and reaction kinetics for simulating and
understanding complex dynamics in soil C. |
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ISSN: | 1726-4189 1726-4170 1726-4189 |
DOI: | 10.5194/bg-15-5031-2018 |