Migliavacca, Mirco
Reichstein, Markus
Richardson, Andrew D.
Colombo, Roberto
Sutton, Mark A.
Lasslop, Gitta
Tomelleri, Enrico
Wohlfahrt, Georg
Carvalhais, Nuno
Cesatti, Alessandro
Mahecha, Miguel D.
Montagnani, Leonardo
Papale, Dario
Zaehle, Sönke
Arain, Altaf
Arneth, Almut
Black, 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
Sebastià, Ma. T.
Seufert, Guenther
Soussana, Jean- Françoise
2016-12-12T10:15:39Z
2025-01-01
2011
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 RECO 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 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 Tref515 1C, without stimulation introduced by photosynthetic activity and without water limitations), with a statistically significant linear relationship (r250.52, Po0.001, n5104) 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 470% 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.
This work is the outcome of the La Thuile FLUXNET Workshop 2007, which would not have been possible without the financial support provided by CarboEuropeIP, FAO-GTOS-TCO, iLEAPS, Max Planck Institute for Biogeochemistry, National Science Foundation, University of Tuscia and the US Department of Energy.
English
Ecosystem respiration; Eddy covariance; Fluxnet
Blackwell Publishing Ltd
Reproducció del document publicat a https://doi.org/10.1111/j.1365-2486.2010.02243.x
Global Change Biology, 2011, vol. 17, núm. 1, p. 390-409
(c) Blackwell Publishing Ltd, 2010
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