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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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    3. 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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    7. 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.
    8. 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.
    9. 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.

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