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STRONG SPATIAL VARIABILITY OF LIGHT USE EFFICIENCY IN A COFFEE
AFS, HIGHLIGHTED BY 3D LIGHT AND GAS EXCHANGE MODEL
Fabien Charbonnier1,2,3,4,*, Olivier Roupsard1,4, Fernando Casanoves4, Louise Audebert5,
Elsa Defresnet6, Aurélie Cambou7, Clémentine Alline8, Bruno Rapidel8, Jacques Avelino9,4,
Karel Van den Meersche1,4, Jean-Michel Harmand1, Christophe Jourdan1, Philippe Vaast1,10,
Alejandra Barquero11, Patricia Leandro4 & Erwin Dreyer2,3
1CIRAD,

UMR Eco&Sols (Ecologie Fonctionnelle & Biogéochimie des Sols et des Agro-écosystèmes), 34060 Montpellier Cedex 2, France; 2Université de
Lorraine, UMR 1137 “Ecologie et Ecophysiologie Forestières, F 54500 Vandoeuvre, France; 3INRA, UMR 1137 “Ecologie et Ecophysiologie Forestières”,
F54280 Champenoux, France; 4CATIE (Centro Agronómico Tropical de Investigación y Enseñanza), 7170 Turrialba, Costa Rica; 5Faculté des Sciences,
Université de Lorraine, F 54500 Vandoeuvre, France; 6AGROCAMPUS OUEST, Centre de Rennes, 35042, Rennes Cedex, France; 7ENSAIA, Ecole
Nationale Supérieure d’Agronomie et des Industries Alimentaires, Nancy, France; 8CIRAD, UMR System, 34060 Montpellier, France; 9CIRAD, UPR
Bioagresseurs, F-34398 Montpellier, France; 10ICRAF, United Nations, Avenue Gigiri, PO Box 30677-00100, Nairobi, Kenya; 11Cafetalera Aquiares S.A.,
PO Box 362-7150 Turrialba, Costa Rica
Tree/Crop interactions in AFS
SHADE TREES
CROP

ENERGY

???

Ressources
CO2
H20
Nutrients

Conversion
Light Use
efficiency
Efficiency

Species, phenology,
microclimate, plant
architecture, leaf traits…

COMPETITION
COMPLEMENTARITY/FACILITATION

By-products
Respiration

Net Primary
Production
LUE, NPP and aPAR

gC resprout-1 year-1
gC MJaPAR-1

LUENPP

NPP
aPAR

NPP = Net Primary Productivity; G = Growth;
L = Litter production; Ex = Exportation

MJaPAR resprout-1 year-1
3
Poorter et al. (2002), Hunt et al. (2001)

3
MAESPA model (Duursma & Medlyn , 2013; Charbonnier et al., 2013)
M&M: experimental design

4 YO

4 YO

5 YO

5 YO

3 YO

5 YO

3m

•60 coffee resprouts / 6 age classes / 2 light environments / 5 blocks
•Design of branch, leaf and fruit level allometric relationships
•One biometric measurement every 2 months
• Litter harvest every 15 days
• Coffee fruit harvesting every year
• Monitored during 2 years
• Analyzed with Linear Mixed Models
Modeled light environment in MAESPA (transmittance+aPAR)
Charbonnier et al., Agric. For. Meteorol. (2013)

4
NPP of coffee resprouts
NPP - 2 years average
Fruit NPP

NPP (gC resprout-1 Y-1)

600

Leaf NPP
Branch NPP

197

400

157
24
77

0

215

65

119

109

165

162

148

51

15
25

200

On a 2 year basis:

208

230

203

264

213

162

41
42

29
34

108

123

151

155

179

179

82

101

178

83

0

0

1

1

2

2

3

3

4

4

5

5

• Strong age effect on
resprout NPP
• Surprisingly, no effect
of shade on resprout
NPP

On a year to year basis

• Strong biennial bearing under sun
• No biennial bearing under shade
• Shade tree transmittance not
explanatory
5
NPPLA & LUENPP of resprouts
Coefficients

NPPLA ( R22=0.24)
Resprout age
Shade tree transmittance
LUENPP (R22=0.37)
Resprout age
Shade tree transmittance

F-value

p-value

109

-0.72

df

5.16

0.0003
NS

90
90

6.43
8.80

0.0001
<0.0039

Example for resprouts
of 4 years old:

6
What happened under Shade Trees?
SHADE TREES
+30% diffuse radiation
CROP

-40% aPAR ENERGY
EXPLAINS 20% of the LUE increase
Source: Photosynthesis model in MAESPA

+57%

Ressources
CO2
H20
Nutrients

No significant change
Above-ground
Net Primary
NPP
Production
Below-ground
NPP

Light Use
Efficiency

Specie, microclimates, pheno
•Leaf traits change? Not significant
logy, plant architecture, leaf
•Change in microclimate? Shade trees
traits…
buffer highest temperatures

i.e: -3°C under large Inga densiflora (Siles et al. 2010)

By-products
Respiration

-25% ???

Not significant
Source:Sequential Coring
What does the litterature say?
-

Increased LUE is an important phenomenon in AFS
Few studies on LUE because of the difficulty in characterizing aPAR
The nearly total compensation was rarely observed in the litterature:
 +26% for groundnut with a decrease of transmitted light of 50% (Monteith
et al., 1991);
 +27% for millet with a decrease of transmitted light of 50% (Monteith et
al., 1991);
 + 20% for lettuce with a decrease of transmitted light of 33% (Dapoigny et
al., 2000)
 +57% in our study for a 41% decrease of irradiance

-

Our study on LUE is one of the first working with large shade trees prone to
affect significantly local temperatures

-

May be coffee plants are more prone to such behavior because it is a shade
tolerant specie: more efficient photosynthesis at low incident light (Ong et
al., 1991).

8
THANK YOU !
THIS EXPERIMENT WAS CONDUCTED WITHIN

FLUXNET/COFFEE-FLUX OBSERVATORY
charbonnier.fabien@gmail.com

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Session 5.1 strong spatial variability of LUE in coffee agroforestry systems

  • 1. STRONG SPATIAL VARIABILITY OF LIGHT USE EFFICIENCY IN A COFFEE AFS, HIGHLIGHTED BY 3D LIGHT AND GAS EXCHANGE MODEL Fabien Charbonnier1,2,3,4,*, Olivier Roupsard1,4, Fernando Casanoves4, Louise Audebert5, Elsa Defresnet6, Aurélie Cambou7, Clémentine Alline8, Bruno Rapidel8, Jacques Avelino9,4, Karel Van den Meersche1,4, Jean-Michel Harmand1, Christophe Jourdan1, Philippe Vaast1,10, Alejandra Barquero11, Patricia Leandro4 & Erwin Dreyer2,3 1CIRAD, UMR Eco&Sols (Ecologie Fonctionnelle & Biogéochimie des Sols et des Agro-écosystèmes), 34060 Montpellier Cedex 2, France; 2Université de Lorraine, UMR 1137 “Ecologie et Ecophysiologie Forestières, F 54500 Vandoeuvre, France; 3INRA, UMR 1137 “Ecologie et Ecophysiologie Forestières”, F54280 Champenoux, France; 4CATIE (Centro Agronómico Tropical de Investigación y Enseñanza), 7170 Turrialba, Costa Rica; 5Faculté des Sciences, Université de Lorraine, F 54500 Vandoeuvre, France; 6AGROCAMPUS OUEST, Centre de Rennes, 35042, Rennes Cedex, France; 7ENSAIA, Ecole Nationale Supérieure d’Agronomie et des Industries Alimentaires, Nancy, France; 8CIRAD, UMR System, 34060 Montpellier, France; 9CIRAD, UPR Bioagresseurs, F-34398 Montpellier, France; 10ICRAF, United Nations, Avenue Gigiri, PO Box 30677-00100, Nairobi, Kenya; 11Cafetalera Aquiares S.A., PO Box 362-7150 Turrialba, Costa Rica
  • 2. Tree/Crop interactions in AFS SHADE TREES CROP ENERGY ??? Ressources CO2 H20 Nutrients Conversion Light Use efficiency Efficiency Species, phenology, microclimate, plant architecture, leaf traits… COMPETITION COMPLEMENTARITY/FACILITATION By-products Respiration Net Primary Production
  • 3. LUE, NPP and aPAR gC resprout-1 year-1 gC MJaPAR-1 LUENPP NPP aPAR NPP = Net Primary Productivity; G = Growth; L = Litter production; Ex = Exportation MJaPAR resprout-1 year-1 3 Poorter et al. (2002), Hunt et al. (2001) 3 MAESPA model (Duursma & Medlyn , 2013; Charbonnier et al., 2013)
  • 4. M&M: experimental design 4 YO 4 YO 5 YO 5 YO 3 YO 5 YO 3m •60 coffee resprouts / 6 age classes / 2 light environments / 5 blocks •Design of branch, leaf and fruit level allometric relationships •One biometric measurement every 2 months • Litter harvest every 15 days • Coffee fruit harvesting every year • Monitored during 2 years • Analyzed with Linear Mixed Models Modeled light environment in MAESPA (transmittance+aPAR) Charbonnier et al., Agric. For. Meteorol. (2013) 4
  • 5. NPP of coffee resprouts NPP - 2 years average Fruit NPP NPP (gC resprout-1 Y-1) 600 Leaf NPP Branch NPP 197 400 157 24 77 0 215 65 119 109 165 162 148 51 15 25 200 On a 2 year basis: 208 230 203 264 213 162 41 42 29 34 108 123 151 155 179 179 82 101 178 83 0 0 1 1 2 2 3 3 4 4 5 5 • Strong age effect on resprout NPP • Surprisingly, no effect of shade on resprout NPP On a year to year basis • Strong biennial bearing under sun • No biennial bearing under shade • Shade tree transmittance not explanatory 5
  • 6. NPPLA & LUENPP of resprouts Coefficients NPPLA ( R22=0.24) Resprout age Shade tree transmittance LUENPP (R22=0.37) Resprout age Shade tree transmittance F-value p-value 109 -0.72 df 5.16 0.0003 NS 90 90 6.43 8.80 0.0001 <0.0039 Example for resprouts of 4 years old: 6
  • 7. What happened under Shade Trees? SHADE TREES +30% diffuse radiation CROP -40% aPAR ENERGY EXPLAINS 20% of the LUE increase Source: Photosynthesis model in MAESPA +57% Ressources CO2 H20 Nutrients No significant change Above-ground Net Primary NPP Production Below-ground NPP Light Use Efficiency Specie, microclimates, pheno •Leaf traits change? Not significant logy, plant architecture, leaf •Change in microclimate? Shade trees traits… buffer highest temperatures i.e: -3°C under large Inga densiflora (Siles et al. 2010) By-products Respiration -25% ??? Not significant Source:Sequential Coring
  • 8. What does the litterature say? - Increased LUE is an important phenomenon in AFS Few studies on LUE because of the difficulty in characterizing aPAR The nearly total compensation was rarely observed in the litterature:  +26% for groundnut with a decrease of transmitted light of 50% (Monteith et al., 1991);  +27% for millet with a decrease of transmitted light of 50% (Monteith et al., 1991);  + 20% for lettuce with a decrease of transmitted light of 33% (Dapoigny et al., 2000)  +57% in our study for a 41% decrease of irradiance - Our study on LUE is one of the first working with large shade trees prone to affect significantly local temperatures - May be coffee plants are more prone to such behavior because it is a shade tolerant specie: more efficient photosynthesis at low incident light (Ong et al., 1991). 8
  • 9. THANK YOU ! THIS EXPERIMENT WAS CONDUCTED WITHIN FLUXNET/COFFEE-FLUX OBSERVATORY charbonnier.fabien@gmail.com