, Volume 73, Issue 1, pp 71–91 | Cite as

Modeling soil CO2 emissions from ecosystems

  • S.J. Del GrossoEmail author
  • W.J. Parton
  • A.R. Mosier
  • E.A. Holland
  • E. Pendall
  • D.S. Schimel
  • D.S. Ojima


We present a new soil respiration model, describe a formal model testing procedure, and compare our model with five alternative models using an extensive data set of observed soil respiration. Gas flux data from rangeland soils that included a large number of measurements at low temperatures were used to model soil CO2 emissions as a function of soil temperature and water content. Our arctangent temperature function predicts that Q10 values vary inversely with temperature and that CO2 fluxes are significant below 0 °C. Independent data representing a broad range of ecosystems and temperature values were used for model testing. The effects of plant phenology, differences in substrate availability among sites, and water limitation were accounted for so that the temperature equations could be fairly evaluated. Four of the six tested models did equally well at simulating the observed soil CO2 respiration rates. However, the arctangent variable Q10 model agreed closely with observed Q10 values over a wide range of temperatures (r2 = 0.94) and was superior to published variable Q10 equations using the Akaike information criterion (AIC). The arctangent temperature equation explained 16–85% of the observed intra-site variability in CO2 flux rates. Including a water stress factor yielded a stronger correlation than temperature alone only in the dryland soils. The observed change in Q10 with increasing temperature was the same for data sets that included only heterotrophic respiration and data sets that included both heterotrophic and autotrophic respiration.


AIC Decomposition Ecosystem modeling Soil C Soil respiration 


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Copyright information

© Springer 2005

Authors and Affiliations

  • S.J. Del Grosso
    • 1
    Email author
  • W.J. Parton
    • 1
  • A.R. Mosier
    • 1
    • 2
  • E.A. Holland
    • 3
  • E. Pendall
    • 4
  • D.S. Schimel
    • 3
  • D.S. Ojima
    • 1
  1. 1.Natural Resource Ecology LaboratoryColorado State UniversityFort CollinsUSA
  2. 2.Agriculture Research ServiceUS Department of AgricultureFortCollinsUSA
  3. 3.National Center for Atmospheric ResearchBoulderUSA
  4. 4.Institute for Arctic and Alpine ResearchUniversity of Colorado at BoulderBoulderUSA

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