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Modelling photosynthesis from biochemistry to optimal stomatal control

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Title: Modelling photosynthesis from biochemistry to optimal stomatal control


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Modelling photosynthesis from biochemistry to
optimal stomatal control
  • Pertti Hari
  • Department of Forest Ecology
  • University of Helsinki

3
Two traditions of modelling photosynthesis at our
department
  • Leaf level
  • Biochemical approach

4
Leaf level
  • Field measurements and empirical modelling 1971 -
    1975
  • high temperatures close stomata
  • Optimal stomatal control 1985 -

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Optimal stomatal control model of photosynthesis
  • Formulated by Cowan and Farquhar
  • Reformulated and solved by us
  • Scale
  • 0.01 mm and 10 s
  • Processes
  • photosynthesis
  • diffusion of CO2
  • diffusion of water vapour
  • stomatal regulation

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Summary model for photosynthesis ?
  • Should be derived from undestanding of
    biochemical processes
  • Derived intuitively 1985

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Photosynthesis
p photosynthesis I photosynthetically active
radiation, PAR Ci CO2 concentration inside
stoma ? parameter, describing biochemical
activity
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Biochemival model
  • History
  • Thornley
  • light reseptors
  • two states
  • Kaitala et al
  • light receptors
  • CO2 reseptors
  • energy exchange
  • diffusion

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  • Development of new version 1995 -
  • more detailed leaf structure
  • detailed analysis of biochemical reactions
  • connections between the reactions
  • scale
  • 10 nm, 1 ms

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Hienorakenne
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Example of typical reaction
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Submodels for each reaction
  • Reactions occur usually between two substances
  • Reaction rates are determined by the
    concentrations of raw materials
  • Multiplicative submodels

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Biochemical model
  • 12 - 20 reactions
  • one parameter per reaction
  • estimation intelligent quess
  • initial state
  • 12 - 20 state variabels
  • estimation intelligent quess or measurements
  • model is operational

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Light response of photosynthesis
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Mesophyl CO2 concentration (rel. unit) as
function of light intensity
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Relationship between photosynthesis and the
product of mesophyl CO2 and light intensity
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Relationship between photosynthesis and the
product of mesophyl CO2 and light intensity
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WHY ?
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Relationship between photosynthesis and the
product of mesophyl CO2 and saturating function
of light intensity
f(I) Ci
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Possible explanations
  • Unrealistic parameter values

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Possible explanations
  • Unrealistic parameter values
  • Errors in the code

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Possible explanations
  • Unrealistic parameter values
  • Errors in the code
  • Inadequate model structure
  • photorespiration

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Relationship between photosynthesis and the
product of mesophyl CO2 and light intensity
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Diffusion of CO2
  • Diffusion transports CO2 and water vapour

i inflow of CO2 Ca ambient CO2
concentration Ci CO2 concentration in stomatal
concavity
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  • Diffusion and respiraton increases CO2
  • Photosynthesis consumes CO2
  • CO2 concentration is stable
  • Michaelis-Menten type model of photosynthesis

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Transpiration
  • Stomatal concavity is saturated with water vapour
  • Diffusion transports water out
  • Simple model for transpiration

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Optimality principle
  • Assume that transpiration of 1 kg water costs??
    kg of CO2
  • Stomatal regulation maximises photosynthetic gain
    minus transpiration costs

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  • Solution with the Lagrange method
  • The solution depends on
  • light
  • temperature
  • ambient water vapour concentration
  • costs of transpiration
  • biochemical activity

34
Analysis of field measurements
  • SMEAR I
  • About 900 km from here to north-east
  • 400 m a.s.l.
  • at timberline
  • near by the real home of Santa
  • monitoring of photosynthesis, PAR, temperature
    etc. from late April to middle November in 1997
  • 120 observations per day for about 150 days

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Chamber in Värriö
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CO2 exchange, g m-2 s-1
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Summary
  • The derivation of the summary model from the
    biochemical model failed
  • The fit of the optimal stomatal control model of
    photosynthesis is exelent
  • How to explain
  • Photorespiration gives hope

42
Ristos comment
  • At the end of a research project we try to
    explain results to others which we do not
    understand

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