Biogeochemistry

, Volume 108, Issue 1–3, pp 119–134

Inverse determination of heterotrophic soil respiration response to temperature and water content under field conditions

  • J. Bauer
  • L. Weihermüller
  • J. A. Huisman
  • M. Herbst
  • A. Graf
  • J. M. Séquaris
  • H. Vereecken
Article

DOI: 10.1007/s10533-011-9583-1

Cite this article as:
Bauer, J., Weihermüller, L., Huisman, J.A. et al. Biogeochemistry (2012) 108: 119. doi:10.1007/s10533-011-9583-1

Abstract

Heterotrophic soil respiration is an important flux within the global carbon cycle. Exact knowledge of the response functions for soil temperature and soil water content is crucial for a reliable prediction of soil carbon turnover. The classical statistical approach for the in situ determination of the temperature response (Q10 or activation energy) of field soil respiration has been criticised for neglecting confounding factors, such as spatial and temporal changes in soil water content and soil organic matter. The aim of this paper is to evaluate an alternative method to estimate the temperature and soil water content response of heterotrophic soil respiration. The new method relies on inverse parameter estimation using a 1-dimensional CO2 transport and carbon turnover model. Inversion results showed that different formulations of the temperature response function resulted in estimated response factors that hardly deviated over the entire range of soil water content and for temperature below 25°C. For higher temperatures, the temperature response was highly uncertain due to the infrequent occurrence of soil temperatures above 25°C. The temperature sensitivity obtained using inverse modelling was within the range of temperature sensitivities estimated from statistical processing of the data. It was concluded that inverse parameter estimation is a promising tool for the determination of the temperature and soil water content response of soil respiration. Future synthetic model studies should investigate to what extent the inverse modelling approach can disentangle confounding factors that typically affect statistical estimates of the sensitivity of soil respiration to temperature and soil water content.

Keywords

Heterotrophic soil respiration Temperature sensitivity Soil water content sensitivity Inverse parameter estimation SOILCO2/RothC SCE algorithm AIC 

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • J. Bauer
    • 1
    • 2
  • L. Weihermüller
    • 1
  • J. A. Huisman
    • 1
  • M. Herbst
    • 1
  • A. Graf
    • 1
  • J. M. Séquaris
    • 1
  • H. Vereecken
    • 1
  1. 1.Institute of Bio- and Geosciences—Agrosphere, IBG-3Forschungszentrum Jülich GmbHJülichGermany
  2. 2.Institute for Atmospheric and Environmental SciencesGoethe University Frankfurt am MainFrankfurt am MainGermany

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