Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites

Mirco Migliavacca, Markus Reichstein, Andrew D. Richardson, Roberto Colombo, Mark A. Sutton, Gitta Lasslop, Enrico Tomelleri, Georg Wohlfahrt, Nuno Carvalhais, Alessandro Cescatti, Miguel D. Mahecha, Leonardo Montagnani, Dario Papale, Sönke Zaehle, Altaf Arain, Almut Arneth, T. Andrew Black, Arnaud Carrara, Sabina Dore, Damiano GianelleCarole Helfter, David Hollinger, Werner L. Kutsch, Peter M. Lafleur, Yann Nouvellon, Corinna Rebmann, R. Humberto, Mirco Rodeghiero, Olivier Roupsard, Maria Teresa Sebastià, Guenther Seufert, Jean Francoise Soussana, Michiel K. Van Der Molen

Research output: Contribution to journalArticlepeer-review

118 Scopus citations


In this study we examined ecosystem respiration (RECO) data from 104 sites belonging to FLUXNET, the global network of eddy covariance flux measurements. The goal was to identify the main factors involved in the variability of RECO: temporally and between sites as affected by climate, vegetation structure and plant functional type (PFT) (evergreen needleleaf, grasslands, etc.). We demonstrated that a model using only climate drivers as predictors of RECOfailed to describe part of the temporal variability in the data and that the dependency on gross primary production (GPP) needed to be included as an additional driver of RECO. The maximum seasonal leaf area index (LAIMAX) had an additional effect that explained the spatial variability of reference respiration (the respiration at reference temperature Tref=15 °C, without stimulation introduced by photosynthetic activity and without water limitations), with a statistically significant linear relationship (r2=0.52, P<0.001, n=104) even within each PFT. Besides LAIMAX, we found that reference respiration may be explained partially by total soil carbon content (SoilC). For undisturbed temperate and boreal forests a negative control of total nitrogen deposition (Ndepo) on reference respiration was also identified. We developed a new semiempirical model incorporating abiotic factors (climate), recent productivity (daily GPP), general site productivity and canopy structure (LAIMAX) which performed well in predicting the spatio-temporal variability of RECO, explaining >70% of the variance for most vegetation types. Exceptions include tropical and Mediterranean broadleaf forests and deciduous broadleaf forests. Part of the variability in respiration that could not be described by our model may be attributed to a series of factors, including phenology in deciduous broadleaf forests and management practices in grasslands and croplands.

Original languageEnglish (US)
Pages (from-to)390-409
Number of pages20
JournalGlobal change biology
Issue number1
StatePublished - 2011
Externally publishedYes


  • Ecosystem respiration
  • Eddy covariance
  • Inverse modeling
  • Leaf area index
  • Productivity

ASJC Scopus subject areas

  • Global and Planetary Change
  • Environmental Chemistry
  • Ecology
  • General Environmental Science


Dive into the research topics of 'Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites'. Together they form a unique fingerprint.

Cite this