A stochastic model for daily subsurface CO2 concentration and related soil respiration |
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Authors: | Edoardo Daly A Christopher Oishi Amilcare Porporato Gabriel G Katul |
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Institution: | 1. Department of Civil and Environmental Engineering, Duke University, Durham, NC, USA;2. Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC, USA;3. Department of Civil Engineering, Monash University, Building 60, Clayton Campus, Clayton, VIC 3800, Australia |
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Abstract: | Near-surface soil CO2 gas-phase concentration (C) and concomitant incident rainfall (Pi) and through-fall (Pt) depths were collected at different locations in a temperate pine forest every 30 min during the 2005 and 2006 growing seasons (and then averaged to the daily timescale). At the daily scale, C temporal variations were well described by a sequence of monotonically decreasing functions interrupted by large positive jumps induced by rainfall events. A stochastic model was developed to link rainfall statistics responsible for these jumps to near-surface C dynamics. The model accounted for the effect of daily rainfall variability, both in terms of timing and amount of water, and permitted an analytical derivation of the C probability density function (pdf) using the parameters of the rainfall pdf. Given the observed positive correlation between daily C and soil CO2 fluxes to the atmosphere (Fs), the effects of various rainfall regimes on the statistics of Fs can be deduced from the behavior of C under different climatic conditions. The predictions from this analytical model are consistent with flux measurements reported in manipulative experiments that varied rainfall amount and frequency. |
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Keywords: | Soil CO2 CO2 pulses Soil respiration Rainfall |
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