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Heterotrophic soil respiration—Comparison of different models describing its temperature dependence

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  • Tuomi, Mikko
  • Vanhala, Pekka
  • Karhu, Kristiina
  • Fritze, Hannu
  • Liski, Jari

Abstract

Several models are used to describe the temperature dependence of heterotrophic soil respiration. Six such models are examined here in detail against incubation measurements from different sources. These models are compared using common sums of squared residuals, Bayesian model probabilities and Markov chain Monte Carlo (McMC) samplings of model parameter spaces. The McMC samples were calculated to study the probability distributions of model parameters in detail. We show that the temperature dependence can be described best using a Gaussian model. The often-used Q10 value as well as four other commonly used models either produce poor fittings or parameter distributions too correlated to be considered useful.

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  • Tuomi, Mikko & Vanhala, Pekka & Karhu, Kristiina & Fritze, Hannu & Liski, Jari, 2008. "Heterotrophic soil respiration—Comparison of different models describing its temperature dependence," Ecological Modelling, Elsevier, vol. 211(1), pages 182-190.
    • Handle: RePEc:eee:ecomod:v:211:y:2008:i:1:p:182-190
    DOI: 10.1016/j.ecolmodel.2007.09.003
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    References listed on IDEAS

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    1. Eric A. Davidson & Ivan A. Janssens, 2006. "Temperature sensitivity of soil carbon decomposition and feedbacks to climate change," Nature, Nature, vol. 440(7081), pages 165-173, March.
    2. Changming Fang & Pete Smith & John B. Moncrieff & Jo U. Smith, 2005. "Similar response of labile and resistant soil organic matter pools to changes in temperature," Nature, Nature, vol. 433(7021), pages 57-59, January.
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    1. Harris, Nancy L. & Hall, Charles A.S. & Lugo, Ariel E., 2008. "Estimates of species- and ecosystem-level respiration of woody stems along an elevational gradient in the Luquillo Mountains, Puerto Rico," Ecological Modelling, Elsevier, vol. 216(3), pages 253-264.
    2. Fu, Yongshuo H. & Campioli, Matteo & Van Oijen, Marcel & Deckmyn, Gaby & Janssens, Ivan A., 2012. "Bayesian comparison of six different temperature-based budburst models for four temperate tree species," Ecological Modelling, Elsevier, vol. 230(C), pages 92-100.
    3. Grant, R.F., 2014. "Nitrogen mineralization drives the response of forest productivity to soil warming: Modelling in ecosys vs. measurements from the Harvard soil heating experiment," Ecological Modelling, Elsevier, vol. 288(C), pages 38-46.
    4. Yousefpour, Rasoul & You, Bin & Hanewinkel, Marc, 2019. "Simulation of extreme storm effects on regional forest soil carbon stock," Ecological Modelling, Elsevier, vol. 399(C), pages 39-53.
    5. Geoffrey Guest & Francesco Cherubini & Anders Strømman, 2013. "Climate impact potential of utilizing forest residues for bioenergy in Norway," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(8), pages 1089-1108, December.
    6. Bagnara, Maurizio & Van Oijen, Marcel & Cameron, David & Gianelle, Damiano & Magnani, Federico & Sottocornola, Matteo, 2018. "Bayesian calibration of simple forest models with multiplicative mathematical structure: A case study with two Light Use Efficiency models in an alpine forest," Ecological Modelling, Elsevier, vol. 371(C), pages 90-100.
    7. Tuomi, M. & Thum, T. & Järvinen, H. & Fronzek, S. & Berg, B. & Harmon, M. & Trofymow, J.A. & Sevanto, S. & Liski, J., 2009. "Leaf litter decomposition—Estimates of global variability based on Yasso07 model," Ecological Modelling, Elsevier, vol. 220(23), pages 3362-3371.
    8. Koponen, Kati & Soimakallio, Sampo & Tsupari, Eemeli & Thun, Rabbe & Antikainen, Riina, 2013. "GHG emission performance of various liquid transportation biofuels in Finland in accordance with the EU sustainability criteria," Applied Energy, Elsevier, vol. 102(C), pages 440-448.
    9. Tuomi, M. & Laiho, R. & Repo, A. & Liski, J., 2011. "Wood decomposition model for boreal forests," Ecological Modelling, Elsevier, vol. 222(3), pages 709-718.

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