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Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data
M. Groenendijk
, A. J. Dolman
, M. K. van der Molen
, R. Leuning
, A. Arneth
, N. Delpierre
, J. H.C. Gash
, A. Lindroth
,
A. D. Richardson
, H. Verbeeck
, G. Wohlfahrt
Research output
:
Contribution to journal
›
Article
›
peer-review
135
Scopus citations
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Dive into the research topics of 'Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data'. Together they form a unique fingerprint.
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Keyphrases
Eddy Covariance Technique
100%
FLUXNET
100%
Plant Functional Traits
100%
Photosynthesis Model
100%
Parameter Variability
100%
Photosynthesis
25%
Transpiration
25%
Parameter Values
12%
Vegetation Type
12%
Best Prediction
12%
Climate Models
12%
Classification Scheme
12%
Global Land
12%
Land Surface Model
12%
Parameter Variation
12%
Alternative Classification
12%
Surface Parameters
12%
Derived Group
12%
Vegetation Components
12%
Agricultural and Biological Sciences
Eddy Covariance
100%
Photosystem
100%
Plant Functional Type
100%
Sweating
25%
Vegetation Type
12%
Climate Modeling
12%
Earth and Planetary Sciences
Eddy Covariance
100%
Photosynthesis
100%
Vegetation
20%
Climate Modeling
20%
Vegetation Type
20%
Land Surface
20%