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Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data

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Author

  • M. Groenendijk
  • A. J. Dolman
  • M. K. van der Molen
  • R. Leuning
  • Almut Arneth
  • N. Delpierre
  • J. H. C. Gash
  • Anders Lindroth
  • A. D. Richardson
  • H. Verbeeck
  • G. Wohlfahrt
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Summary, in English

The vegetation component in climate models has advanced since the late 1960s from a uniform prescription of surface parameters to plant functional types (PFTs) PFTs are used in global land-surface models to provide parameter values for every model grid cell With a simple photosynthesis model we derive parameters for all site years within the Fluxnet eddy covariance data set We compare the model parameters within and between PFTs and statistically group the sites Fluxnet data is used to validate the photosynthesis model parameter variation within a PFT classification Our major result is that model parameters appear more variable than assumed in PFTs Simulated fluxes are of higher quality when model parameters of individual sites or site years are used A simplification with less variation in model parameters results in poorer simulations This indicates that a PFT classification Introduces uncertainty in the variation of the photosynthesis and transpiration fluxes Statistically derived groups of sites with comparable model parameters do not share common vegetation types or climates A simple PFT classification does not reflect the real photosynthesis and transpiration variation Although site year parameters give the best predictions the parameters are generally too specific to be used in a global study The site year parameters can be further used to explore the possibilities of alternative classification schemes (C) 2010 Elsevier B V All rights reserved

Publishing year

2011

Language

English

Pages

22-38

Publication/Series

Agricultural and Forest Meteorology

Volume

151

Issue

1

Document type

Journal article

Publisher

Elsevier

Topic

  • Physical Geography

Keywords

  • Eddy covariance
  • Transpiration
  • Photosynthesis
  • Plant functional types
  • Model parameters
  • Fluxnet

Status

Published

ISBN/ISSN/Other

  • ISSN: 1873-2240