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Modeling plants and global environmental change

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Presentation on theme: "Modeling plants and global environmental change"— Presentation transcript:

1 Modeling plants and global environmental change
Dr Andrew Leakey Department of Plant Biology University of Illinois at U-C

2 What is a model?

3 A model of the scientific method
A model has two characteristics: It is a physical, mathematical, or logical representation of a system of entities, phenomena, or processes. It is always a simplified representation of the real system which it describes. A model of the scientific method

4 How much do I weigh? What data would inform your estimate? Height, BMI
What data would help improve your accuracy? Is your estimate perfect?

5 Mathematical models can be either:
Empirical – mathematical description of observed phenomena, but without mechanistic basis. Mechanistic – mathematical description that is based on the mechanism underlying the observed phenomena

6 What do we want to simulate/predict?
Future CO2 concentration and temperature

7 What do we want to simulate/predict?

8 GENERAL CIRCULATION MODELS (GCMs)
Components of the climate system considered: atmosphere ocean cryosphere biosphere geosphere

9 Physiochemical diffusion
How do ecosystems play a role? The Global Carbon Cycle Atmosphere 780 GtC + 4.1 GtC yr-1 Photosynthesis 120 GtC yr-1 Fossil Fuels 8.4 GtC yr-1 Plant Respiration 59 GtC yr-1 Land use change 1.5 GtC yr-1 550 GtC Soil Respiration 58 GtC yr-1 Physiochemical diffusion 92 GtC yr-1 90 GtC yr-1 + 2.8 GtC yr-1 Soil and detritus 1500 GtC Geological reserves GtC Ocean 38,000 GtC + 2.2 GtC yr-1 Based on K.L. Griffin, Columbia U. 2002; Canadell et al PNAS 2007; IPCC 2001

10 An example of an ecosystem model (Century)
This sub-model is an example of an important empirical model in plant biology

11 Open stomata Closed stomata
Stomata regulate how much water is lost from the leaf and how much CO2 enters the leaf.

12 Plants must deal with a trade-off between carbon gain and water use.
Stomata regulate the exchange of CO2 and H2O vapor Stomatal conductance is a measure of how easily CO2 and H2O vapor can move through the stomata High stomatal conductance = open pores Low stomatal conductance = closed pores CO2 H2O

13 Ball et al.(1987) model gs = g0 + m(A.h/ca) Where: gs is stomatal conductance g0 is a constant m is slope of line A is photosynthetic rate h is relative humidity ca is atmospheric [CO2]

14 y m Straight line y = b + m(x) b Ball et al. model gs = g0 + m(A.h/ca)

15

16 An example of an ecosystem model (Century)
This sub-model is an example of an important mechanistic model in plant biology

17 How do enzymes work?

18

19 Model of leaf photosynthesis
Presented by Farquhar, von Caemmerer & Berry in 1980 A is photosynthetic CO2 uptake vc is rate of carboxylation vo is rate of CO2 loss due to oxygenation Rd is rate of mitochondrial respiratory CO2 loss

20 { CO2 fixation by Rubisco CO2 concentration inside the leaf
Elevated CO2 stimulates photosynthesis by increasing the substrate concentration (CO2) for the carboxylation reaction of Rubisco { stimulation CO2 fixation by Rubisco Elevated CO2 Ambient CO2 CO2 concentration inside the leaf

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22 How do we improve our modeling capability?
Better understanding of mechanisms More data to parameterize (inform) models More data to test model predictions How do we achieve this? Experiments!

23 Soybean Free Air gas Concentration Enrichment Facility (SoyFACE)

24 20 meters

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26

27 Open Field vs Glasshouse
Experiments

28 Global change experiments on crops in the field
Tsukuba Rice CO2 Jiangsu Rice/Wheat CO2/N Maricopa Wheat/Sorghum CO2/H2O/N Champaign Soybean/Maize CO2/ºC/H2O KEY Location Plant Species Treatments Horsham Wheat CO2/N/H2O Fig. 1

29 Soybean Wheat

30 % change in crop yields in 2080 considering altered temperature, rainfall and socio-economics PLUS carbon dioxide fertilization of plant growth Too optimistic??!! 30

31 Conclusions Models allow us to simulate complex systems and make predictions about how they will operate under certain scenarios (like the future). They aren’t perfect, but they are always being improved and generate valuable predictions. Models and experimentation go hand in hand – each is more valuable when combined with the other.


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