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

dc.contributor.author
Migliavacca, Mirco
dc.contributor.author
Reichstein, Markus
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Richardson, Andrew D.
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Colombo, Roberto
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Sutton, Mark A.
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Lasslop, Gitta
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Tomelleri, Enrico
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Wohlfahrt, Georg
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Carvalhais, Nuno
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Cesatti, Alessandro
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Mahecha, Miguel D.
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Montagnani, Leonardo
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Papale, Dario
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Zaehle, Sönke
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Arain, Altaf
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Arneth, Almut
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Black, Andrew
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Carrara, Arnaud
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Dore, Sabina
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Gianelle, Damiano
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Helfter, Carole
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Hollinger, David
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Kutsch, Werner L.
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Lafleur, Peter M.
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Nouvellon, Yann
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Rebmann, Corinna
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Da Rocha, Humberto R.
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Rodeghiero, Mirco
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Roupsard, Olivier
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Sebastià, Ma. T.
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Seufert, Guenther
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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.date.issued
2011
dc.identifier
https://doi.org/10.1111/j.1365-2486.2010.02243.x
dc.identifier
1354-1013
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.language
eng
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.subject
Fluxnet
dc.title
Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites
dc.type
article
dc.type
publishedVersion


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