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

Migliavacca, Mirco; Reichstein, Markus; Richardson, Andrew D.; Colombo, Roberto; Sutton, Mark A. ORCID:; Lasslop, Gitta; Tomelleri, Enrico; Wohlfahrt, Georg; Carvalhais, Nuno; Cescatti, Alessandro; Maheca, Miguel D.; Montagnani, Leonardo; Papale, Dario; Zaehle, Sonke; Arain, Altaf; Arneth, Almut; Black, T. Andrew; Carrara, Arnaud; Dore, Sabina; Gianelle, Damiano; Helfter, Carole; Hollinger, David; Kutsch, Werner L.; Lafleur, Peter M.; Nouvellon, Yann; Rebmann, Corinna; da Rocha, Humberto R.; Rodeghiero, Mirco; Roupsard, Olivier; Sebastia, Maria-Teresa; Seufert, Guenther; Soussana, Jean-Francoise; van deer Molen, Michiel K.. 2011 Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites. Global Change Biology, 17 (1). 390-409.

Full text not available from this repository.


In this study we examined ecosystem respiration (R-ECO) 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 R-ECO: 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 R-ECO failed 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 R-ECO. The maximum seasonal leaf area index (LAI(MAX)) had an additional effect that explained the spatial variability of reference respiration (the respiration at reference temperature T-ref=15 degrees 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 LAI(MAX), 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 (N-depo) 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 (LAI(MAX)) which performed well in predicting the spatio-temporal variability of R-ECO, 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.

Item Type: Publication - Article
Digital Object Identifier (DOI):
Programmes: CEH Topics & Objectives 2009 - 2012 > Biogeochemistry > BGC Topic 2 - Biogeochemistry and Climate System Processes > BGC - 2.1 - Quantify & model processes that control the emission, fate and bioavailability of pollutants
UKCEH and CEH Sections/Science Areas: Billett (to November 2013)
ISSN: 1354-1013
Additional Keywords: ecosystem respiration, eddy covariance, FLUXNET, inverse modeling, leaf area index, productivity
Date made live: 15 Mar 2011 09:26 +0 (UTC)

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...