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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.; Lasslop, Gitta; Tomelleri, Enrico; Wohlfahrt, Georg; Carvalhais, Nuno and Cescatti, Alessandro, et al. (2011) In Global Change Biology 17(1). p.390-409
Abstract
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... (More)
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. (Less)
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keywords
leaf, inverse modeling, FLUXNET, ecosystem respiration, eddy covariance, productivity, area index
in
Global Change Biology
volume
17
issue
1
pages
390 - 409
publisher
Wiley-Blackwell
external identifiers
  • wos:000284851500033
  • scopus:77956821204
ISSN
1354-1013
DOI
10.1111/j.1365-2486.2010.02243.x
project
MERGE
BECC
language
English
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yes
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9ed8d669-bbd1-4ae5-9cff-ca8eb11cd8fa (old id 1774169)
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2011-02-01 10:03:07
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@article{9ed8d669-bbd1-4ae5-9cff-ca8eb11cd8fa,
  abstract     = {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 &lt; 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 &gt; 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.},
  author       = {Migliavacca, Mirco and Reichstein, Markus and Richardson, Andrew D. and Colombo, Roberto and Sutton, Mark A. and Lasslop, Gitta and Tomelleri, Enrico and Wohlfahrt, Georg and Carvalhais, Nuno and Cescatti, Alessandro and Mahecha, Miguel D. and Montagnani, Leonardo and Papale, Dario and Zaehle, Soenke and Arain, Altaf and Arneth, Almut and Black, T. Andrew and Carrara, Arnaud and Dore, Sabina and Gianelle, Damiano and Helfter, Carole and Hollinger, David and Kutsch, Werner L. and Lafleur, Peter M. and Nouvellon, Yann and Rebmann, Corinna and da Rocha, Humberto R. and Rodeghiero, Mirco and Roupsard, Olivier and Sebastia, Maria-Teresa and Seufert, Guenther and Soussana, Jean-Francoise and van der Molen, Michiel K.},
  issn         = {1354-1013},
  keyword      = {leaf,inverse modeling,FLUXNET,ecosystem respiration,eddy covariance,productivity,area index},
  language     = {eng},
  number       = {1},
  pages        = {390--409},
  publisher    = {Wiley-Blackwell},
  series       = {Global Change Biology},
  title        = {Semiempirical modeling of abiotic and biotic factors controlling ecosystem respiration across eddy covariance sites},
  url          = {http://dx.doi.org/10.1111/j.1365-2486.2010.02243.x},
  volume       = {17},
  year         = {2011},
}