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

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

Migliavacca, Mirco (author)

Reichstein, Markus (author)

Richardson, Andrew D. (author)

Colombo, Roberto (author)

Sutton, Mark A. (author)

Lasslop, Gitta (author)

Tomelleri, Enrico (author)

Wohlfahrt, Georg (author)

Carvalhais, Nuno (author)

Cescatti, Alessandro (author)

Mahecha, Miguel D. (author)

Montagnani, Leonardo (author)

Papale, Dario (author)

Zaehle, Soenke (author)

Arain, Altaf (author)

Arneth, Almut (author): Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science

Black, T. Andrew (author)

Carrara, Arnaud (author)

Dore, Sabina (author)

Gianelle, Damiano (author)

Helfter, Carole (author)

Hollinger, David (author)

Kutsch, Werner L. (author)

Lafleur, Peter M. (author)

Nouvellon, Yann (author)

Rebmann, Corinna (author)

da Rocha, Humberto R. (author)

Rodeghiero, Mirco (author)

Roupsard, Olivier (author)

Sebastia, Maria-Teresa (author)

Seufert, Guenther (author)

Soussana, Jean-Francoise (author)

van der Molen, Michiel K. (author)

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(creator_code:org_t)

2010-12-01
2011
English.
In: Global Change Biology. - : Wiley. - 1354-1013. ; 17:1, s. 390-409

Related links:: http://dx.doi.org/10...; show more...; http://onlinelibrary...; https://lup.lub.lu.s...; https://doi.org/10.1...; show less...

Journal article (peer-reviewed)

Abstract Subject headings

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.

Subject headings

NATURVETENSKAP -- Geovetenskap och miljövetenskap -- Naturgeografi (hsv//swe)
NATURAL SCIENCES -- Earth and Related Environmental Sciences -- Physical Geography (hsv//eng)

Keyword

leaf
inverse modeling
FLUXNET
ecosystem respiration
eddy covariance
productivity
area index

Publication and Content Type

art (subject category)
ref (subject category)

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NATURAL SCIENCES: NATURAL SCIENCES; and Earth and Relate ...; and Physical Geograp ...

Articles in the publication: Global Change Bi ...

By the university: Lund University

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