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

作者：Groenendijk M^*; Dolman A J; van der Molen M K; Leuning R; Arneth A; Delpierre N; Gash J H C; Lindroth A; Richardson A D; Verbeeck H; Wohlfahrt G

来源：Agricultural and Forest Meteorology, 2011, 151(1): 22-38.

DOI：10.1016/j.agrformet.2010.08.013

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

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 gener

• 出版日期2011-1-15
• 单位CSIRO