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Developing an empirical model of stand GPP with the LUE approach: analysis of eddy covariance data at five contrasting conifer sites in Europe

Makela, Annikki; Pulkkinen, Minna; Kolari, Pasi; Lagergren, Fredrik LU ; Berbigier, Paul; Lindroth, Anders LU ; Loustau, Denis; Nikinmaa, Eero; Vesala, Timo and Hari, Pertti (2008) In Global Change Biology 14(1). p.92-108
Abstract
This paper develops a statistical model for daily gross primary production (GPP) in boreal and temperate coniferous forests. The model applies the light use efficiency (LUE) approach, which estimates the conversion efficiency of daily absorbed photosynthetically active radiation (APAR) into daily GPP as a product of potential LUE and modifying factors. The latter were derived from daily total APAR and daily mean temperature, vapour pressure deficit (VPD) and soil water content (SWC). Modelling data came from five European eddy covariance measurement towers over 2-8 years. The model was tested against independent data from two AmeriFlux stations. The model with the APAR, temperature and VPD modifiers worked well in almost all the site-year... (More)
This paper develops a statistical model for daily gross primary production (GPP) in boreal and temperate coniferous forests. The model applies the light use efficiency (LUE) approach, which estimates the conversion efficiency of daily absorbed photosynthetically active radiation (APAR) into daily GPP as a product of potential LUE and modifying factors. The latter were derived from daily total APAR and daily mean temperature, vapour pressure deficit (VPD) and soil water content (SWC). Modelling data came from five European eddy covariance measurement towers over 2-8 years. The model was tested against independent data from two AmeriFlux stations. The model with the APAR, temperature and VPD modifiers worked well in almost all the site-year combinations, but the SWC modifier only improved the fit in few cases. Geographical variation was found in the modifiers and potential LUE in site-specific models. When a model was fitted to pooled data, differences between sites could be explained by potential LUE, leaf area and environmental conditions. The test against the AmeriFlux data corroborated this finding. The potential LUE varied from 1.9 to 3.1 g C MJ(-1), and a weak correlation was found between foliar nitrogen concentration and potential LUE. Some year-to-year variation remained which could be captured by neither the pooled nor the site-specific models. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
gross primary production, light use efficiency, photosynthesis, soil water, statistical model, VPD, temperature acclimation, APAR
in
Global Change Biology
volume
14
issue
1
pages
92 - 108
publisher
Wiley-Blackwell
external identifiers
  • wos:000251415000008
  • scopus:36849094027
ISSN
1354-1013
DOI
10.1111/j.1365-2486.2007.01463.x
language
English
LU publication?
yes
id
d9345da8-7c7b-4d1c-b589-1e44a85bc3c8 (old id 966300)
date added to LUP
2009-07-08 16:49:26
date last changed
2017-11-12 03:20:05
@article{d9345da8-7c7b-4d1c-b589-1e44a85bc3c8,
  abstract     = {This paper develops a statistical model for daily gross primary production (GPP) in boreal and temperate coniferous forests. The model applies the light use efficiency (LUE) approach, which estimates the conversion efficiency of daily absorbed photosynthetically active radiation (APAR) into daily GPP as a product of potential LUE and modifying factors. The latter were derived from daily total APAR and daily mean temperature, vapour pressure deficit (VPD) and soil water content (SWC). Modelling data came from five European eddy covariance measurement towers over 2-8 years. The model was tested against independent data from two AmeriFlux stations. The model with the APAR, temperature and VPD modifiers worked well in almost all the site-year combinations, but the SWC modifier only improved the fit in few cases. Geographical variation was found in the modifiers and potential LUE in site-specific models. When a model was fitted to pooled data, differences between sites could be explained by potential LUE, leaf area and environmental conditions. The test against the AmeriFlux data corroborated this finding. The potential LUE varied from 1.9 to 3.1 g C MJ(-1), and a weak correlation was found between foliar nitrogen concentration and potential LUE. Some year-to-year variation remained which could be captured by neither the pooled nor the site-specific models.},
  author       = {Makela, Annikki and Pulkkinen, Minna and Kolari, Pasi and Lagergren, Fredrik and Berbigier, Paul and Lindroth, Anders and Loustau, Denis and Nikinmaa, Eero and Vesala, Timo and Hari, Pertti},
  issn         = {1354-1013},
  keyword      = {gross primary production,light use efficiency,photosynthesis,soil water,statistical model,VPD,temperature acclimation,APAR},
  language     = {eng},
  number       = {1},
  pages        = {92--108},
  publisher    = {Wiley-Blackwell},
  series       = {Global Change Biology},
  title        = {Developing an empirical model of stand GPP with the LUE approach: analysis of eddy covariance data at five contrasting conifer sites in Europe},
  url          = {http://dx.doi.org/10.1111/j.1365-2486.2007.01463.x},
  volume       = {14},
  year         = {2008},
}