首页 | 本学科首页   官方微博 | 高级检索  
     检索      


A stochastic model for daily subsurface CO2 concentration and related soil respiration
Authors:Edoardo Daly  A Christopher Oishi  Amilcare Porporato  Gabriel G Katul
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
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.
Keywords:Soil CO2  CO2 pulses  Soil respiration  Rainfall
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号