dc.contributor.author
Migliavacca, Mirco
dc.contributor.author
Reichstein, Markus
dc.contributor.author
Richardson, Andrew D.
dc.contributor.author
Colombo, Roberto
dc.contributor.author
Sutton, Mark A.
dc.contributor.author
Lasslop, Gitta
dc.contributor.author
Tomelleri, Enrico
dc.contributor.author
Wohlfahrt, Georg
dc.contributor.author
Carvalhais, Nuno
dc.contributor.author
Cesatti, Alessandro
dc.contributor.author
Mahecha, Miguel D.
dc.contributor.author
Montagnani, Leonardo
dc.contributor.author
Papale, Dario
dc.contributor.author
Zaehle, Sönke
dc.contributor.author
Arain, Altaf
dc.contributor.author
Arneth, Almut
dc.contributor.author
Black, Andrew
dc.contributor.author
Carrara, Arnaud
dc.contributor.author
Dore, Sabina
dc.contributor.author
Gianelle, Damiano
dc.contributor.author
Helfter, Carole
dc.contributor.author
Hollinger, David
dc.contributor.author
Kutsch, Werner L.
dc.contributor.author
Lafleur, Peter M.
dc.contributor.author
Nouvellon, Yann
dc.contributor.author
Rebmann, Corinna
dc.contributor.author
Da Rocha, Humberto R.
dc.contributor.author
Rodeghiero, Mirco
dc.contributor.author
Roupsard, Olivier
dc.contributor.author
Sebastià, Ma. T.
dc.contributor.author
Seufert, Guenther
dc.contributor.author
Soussana, Jean- Françoise
dc.date.accessioned
2024-12-05T22:26:33Z
dc.date.available
2024-12-05T22:26:33Z
dc.date.issued
2016-12-12T10:15:39Z
dc.date.issued
2025-01-01
dc.identifier
https://doi.org/10.1111/j.1365-2486.2010.02243.x
dc.identifier
http://hdl.handle.net/10459.1/58791
dc.identifier.uri
http://hdl.handle.net/10459.1/58791
dc.description.abstract
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.
dc.description.abstract
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.
dc.publisher
Blackwell Publishing Ltd
dc.relation
Reproducció del document publicat a https://doi.org/10.1111/j.1365-2486.2010.02243.x
dc.relation
Global Change Biology, 2011, vol. 17, núm. 1, p. 390-409
dc.rights
(c) Blackwell Publishing Ltd, 2010
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.subject
Ecosystem respiration
dc.subject
Eddy covariance
dc.title
Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites