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Remko Duursma
Hawkesbury Institute for the Environment
University of Western Sydney
Water availability, but not [CO2],
drives leaf area dynamics
ACEAS Phenology 2014
EucFACE
• Six 'rings' of 25m diameter
• 3 at ambient [CO2], 3 at ambient + 150ppm
• 'Fully' instrumented
• Supersite nearby
• Eucalyptus tereticornis
• Importance in scaling up leaf-level processes. For example,
ET (eCO2) ≈ ET(aCO2) * Leaf level response * LAI response
• Very little known about LAI response to CO2 in closed-canopy forests
What do we expect?
• LAI should go up because eCO2 enhances growth
• LAI should go up because of 'water savings'
• LAI should go up because the models say so
Why leaf area index?
Indirect measurement of leaf area index
Indirect methods based on light transmittance have a long history
(Monsi & Saeki 1953)
Gap fraction and LAI are related via he Lambert-Beer law:
PPFDbelow = PPFDabove * e-kLAI
Where k is an extinction coefficient (lots of theory)
Transmittance (τ) is defined as PPFDbelow/PPFDabove
At EucFACE :
- Measurements of PPFD below canopy with Licor
PAR sensors (3 per ring), and above canopy in each ring.
- Measurements of transmittance with photographic method
0 1 2 3 4 5
0.0
0.2
0.4
0.6
0.8
1.0
LAI m
2
m
2
-
Measurements of PPFD above and below the canopy
Sunny
Time (hours)
PPFDmolm
2
s
1
0 4 8 12 16 20 24
0500100015002000
Cloudy
Time (hours)
PPFDmolm
2
s
1
0 4 8 12 16 20 240200400600800
Canopy transmittance
Sunny
Time (hours)
TransmittancePPFDbelowPPFDabove
0 4 8 12 16 20 24
0.00.20.40.60.81.0
Cloudy
Time (hours)
TransmittancePPFDbelowPPFDabove
0 4 8 12 16 20 240.00.20.40.60.81.0
Fraction diffuse radiation (Fdiff) (measured at CUP eddy flux site)
Sunny
Time (hours)
FractiondiffusePPFD-
0 4 8 12 16 20 24
0.00.20.40.60.81.01.2
Cloudy
Time (hours)
FractiondiffusePPFD-
0 4 8 12 16 20 240.00.20.40.60.81.01.2
We measured canopy diffuse transmittance when Fdiff > 0.98, and averaged daily
when at least 3 timesteps available (1.5 hours), and within-day σ < 0.03 for all
rings.
'Flat canopy' photos (canopy cover photography)
ca. 30 degrees
• Automated tresholding (blue channel)
• Ca. 21 photos per ring, ca. monthly, when
cloudy
• R package for image analysis (including
thresholding)
Methods comparison
One day (22 May 2013)
Ca. 21 photos per ring; LAI-2200 at same points. 3 PAR sensors.
Diffuse transmittance
Sub-canopy PAR sensors
All cloudy days (at least 1.5 hours Fdiff > 0.98)
These data were then inverted to estimated total area index.
Methods comparison
Woody + infrastructure area index?
Scaling up : the importance of rainfall
LAI estimated from MODIS 8day fPAR product.
30,000 1km2 pixels across SE Australia
Shiva Khanal
Future work and why phenocams?
• Test prognostic LAI of ecosystem models, in response to variation in
water availability (rainfall, evaporative demand), and elevated CO2.
• Towards a more mechanistic model of leaf area dynamics
Data sources
• MODIS has its limitations; a national network that can measure green-up of
vegetation would be very useful
• A network of below-canopy diffuse transmittance is more difficult
• Upward-looking phenocams?
Duursma ACEAS Phenocams 2014
Duursma ACEAS Phenocams 2014

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Duursma ACEAS Phenocams 2014

  • 1. Remko Duursma Hawkesbury Institute for the Environment University of Western Sydney Water availability, but not [CO2], drives leaf area dynamics ACEAS Phenology 2014
  • 2. EucFACE • Six 'rings' of 25m diameter • 3 at ambient [CO2], 3 at ambient + 150ppm • 'Fully' instrumented • Supersite nearby • Eucalyptus tereticornis
  • 3.
  • 4. • Importance in scaling up leaf-level processes. For example, ET (eCO2) ≈ ET(aCO2) * Leaf level response * LAI response • Very little known about LAI response to CO2 in closed-canopy forests What do we expect? • LAI should go up because eCO2 enhances growth • LAI should go up because of 'water savings' • LAI should go up because the models say so Why leaf area index?
  • 5. Indirect measurement of leaf area index Indirect methods based on light transmittance have a long history (Monsi & Saeki 1953) Gap fraction and LAI are related via he Lambert-Beer law: PPFDbelow = PPFDabove * e-kLAI Where k is an extinction coefficient (lots of theory) Transmittance (τ) is defined as PPFDbelow/PPFDabove At EucFACE : - Measurements of PPFD below canopy with Licor PAR sensors (3 per ring), and above canopy in each ring. - Measurements of transmittance with photographic method 0 1 2 3 4 5 0.0 0.2 0.4 0.6 0.8 1.0 LAI m 2 m 2 -
  • 6. Measurements of PPFD above and below the canopy Sunny Time (hours) PPFDmolm 2 s 1 0 4 8 12 16 20 24 0500100015002000 Cloudy Time (hours) PPFDmolm 2 s 1 0 4 8 12 16 20 240200400600800
  • 7. Canopy transmittance Sunny Time (hours) TransmittancePPFDbelowPPFDabove 0 4 8 12 16 20 24 0.00.20.40.60.81.0 Cloudy Time (hours) TransmittancePPFDbelowPPFDabove 0 4 8 12 16 20 240.00.20.40.60.81.0
  • 8. Fraction diffuse radiation (Fdiff) (measured at CUP eddy flux site) Sunny Time (hours) FractiondiffusePPFD- 0 4 8 12 16 20 24 0.00.20.40.60.81.01.2 Cloudy Time (hours) FractiondiffusePPFD- 0 4 8 12 16 20 240.00.20.40.60.81.01.2 We measured canopy diffuse transmittance when Fdiff > 0.98, and averaged daily when at least 3 timesteps available (1.5 hours), and within-day σ < 0.03 for all rings.
  • 9. 'Flat canopy' photos (canopy cover photography) ca. 30 degrees • Automated tresholding (blue channel) • Ca. 21 photos per ring, ca. monthly, when cloudy • R package for image analysis (including thresholding)
  • 10. Methods comparison One day (22 May 2013) Ca. 21 photos per ring; LAI-2200 at same points. 3 PAR sensors.
  • 11. Diffuse transmittance Sub-canopy PAR sensors All cloudy days (at least 1.5 hours Fdiff > 0.98) These data were then inverted to estimated total area index.
  • 13. Woody + infrastructure area index?
  • 14.
  • 15.
  • 16.
  • 17. Scaling up : the importance of rainfall LAI estimated from MODIS 8day fPAR product. 30,000 1km2 pixels across SE Australia
  • 18.
  • 20. Future work and why phenocams? • Test prognostic LAI of ecosystem models, in response to variation in water availability (rainfall, evaporative demand), and elevated CO2. • Towards a more mechanistic model of leaf area dynamics Data sources • MODIS has its limitations; a national network that can measure green-up of vegetation would be very useful • A network of below-canopy diffuse transmittance is more difficult • Upward-looking phenocams?