Concurrent and lagged impacts of an anomalously warm year on autotrophic and heterotrophic components of soil respiration: A deconvolution analysis

Xuhui Zhou, Yiqi Luo, Chao Gao, Paul S.J. Verburg, John A. Arnone, Anthony Darrouzet-Nardi, David S. Schimel

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Summary: •Partitioning soil respiration into autotrophic (RA) and heterotrophic (RH) components is critical for understanding their differential responses to climate warming.•Here, we used a deconvolution analysis to partition soil respiration in a pulse warming experiment. We first conducted a sensitivity analysis to determine which parameters can be identified by soil respiration data. A Markov chain Monte Carlo technique was then used to optimize those identifiable parameters in a terrestrial ecosystem model. Finally, the optimized parameters were employed to quantify RA and RH in a forward analysis.•Our results displayed that more than one-half of parameters were constrained by daily soil respiration data. The optimized model simulation showed that warming stimulated RH and had little effect on RA in the first 2 months, but decreased both RH and RA during the remainder of the treatment and post-treatment years. Clipping of above-ground biomass stimulated the warming effect on RH but not on RA. Overall, warming decreased RA and RH significantly, by 28.9% and 24.9%, respectively, during the treatment year and by 27.3% and 33.3%, respectively, during the post-treatment year, largely as a result of decreased canopy greenness and biomass.•Lagged effects of climate anomalies on soil respiration and its components are important in assessing terrestrial carbon cycle feedbacks to climate warming.

Original languageEnglish (US)
Pages (from-to)184-198
Number of pages15
JournalNew Phytologist
Volume187
Issue number1
DOIs
StatePublished - Jul 2010
Externally publishedYes

Keywords

  • Autotrophic respiration
  • Bayesian
  • Deconvolution
  • EcoCELL
  • Heterotrophic respiration
  • Markov chain Monte Carlo (MCMC)
  • Soil respiration
  • Warming

ASJC Scopus subject areas

  • Physiology
  • Plant Science

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