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Impacts of Site Resources on the Productivity of Eucalyptus Plantations in Brazil

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Title: Impacts of Site Resources on the Productivity of Eucalyptus Plantations in Brazil


1
Impacts of Site Resources on the Productivity of
Eucalyptus Plantations in Brazil Jose Luiz
Stape jlstape_at_ncsu.edu Dept. Forestry and
Environmental Resources NCSU
NC STATE UNIVERSITY
University of Georgia Athens March 2009
2
Topics
  • Eucalyptus and Pinus forests Brazil
  • From Empirical to Process-Based Researches
  • Modelling

3
ClimateMean Annual Temp 15 to 29ºCRain
700 to 2500 mm/yr90 lt 800 m asl
So, why plantations?
4
São Paulo State Deforestation
5
Dr. Navarro and friends in a 1925 Picture
6
Seeds sources Sao Paulo State Forests, USP
Forests, Australia, USA, Central America
Countries
7
ForestPlantations
100.000 ha 100 PulpPaper 0.7 Surface
8
BRAZIL CONTEXT
  • 6 millions ha Eucalyptus, Pinus, Acacia
  • 4-fold Increase in Productivity

- Short-Rotation, Wood Plot-Level Studies - Yield
Models Site-Species-Specific (SI, BA)
1960s 6 Mg ha-1 y-1
Actual 25 Mg ha-1 y-1
9
Typical Imported Seeds Plantation - 1970
10
The Same Area Today E.grandis Clone
11
Not using fire anymore (since 1990)
12
Keeping the slash for soil protection and
sustainability
13
Subsoilers
14
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15
Eucalyptus grandis x urophylla 1.5 year-old
35 lb P/ac No
Fertilization
16
MAI of Jari Project (Pacheco 1997)
Clones SP F WC
Eucalyptus urophylla F
Pinus
17
Extreme (Low) Values
  • - Inadequate Climates
  • Inadequate Soils
  • Not Tested Clones
  • WNPP lt 500 g m-2yr-1

18
  • - Adequate Climates
  • Adequate Soils
  • Local Selected Clones
  • Fertilization
  • Weeds and Pests Control
  • WNPP up to 4000 g m-2yr-1

4 years-old
19


Environment Genetics Management
20
Tropical plantation ecosystem
21
Empirical Approach Restricts Extrapolations
Across Spatial and Temporal Scales
- Process-Based Models - Production Ecology
22
Brazil Eucalyptus Plantations
World Ecosystems
Net Primary Production (g C m-2 yr-1)
Forest Woodlands Grasslands
Schimel et al. 1996
Evapotranspiration (mm yr-1)
23
To Characterize the Production Ecology of Clonal
Eucalyptus Plantations
Transect 14 stands of E.grandis x urophylla along
a geographic gradient
24
MAI - Rainfall
RootAbove Partitioning
25
Resource-Use-Efficiency
VPD and Rainfall Inversely Related
Water Use Efficiency f (1/ VPD)
  • Light- and N-use-efficiency Increased with
    Rainfall (Productivity)
  • Higher stomatal conductance and aboveground
    allocation

26
Study Site, Design
2 X 2 Factorial 4 reps 900 m² plots
E. grandis x urophylla 3.5- to 5.5-year-old
Fertilization Control x High Water Rainfed x
Irrigation
27
GPP ANPP TBCA Rp
ANPP Direct Measurements per Plot
TBCA FS FA ?C (Nadelhoffer and Raich 1990)
Rp Respiration Equations (Giardina Ryan 2002)
28
GPP APAR . ?. fW. fN .fD
? Maximum Canopy Quantum Efficiency fi
Constraints to Photosynthesis soil water,
fertility, VPD apparent ? ?. fi
Treatment Constraint
Control fD.fW.fN
Irrigated fD.fN
Fertilized fD.fW
Irrig, Fert. fD
29
Rainfed
Irrigated
After 2 years ? 50 increase in Productivity
30
Allocation (Average of wet and normal years)
Irrigation Effect
38 GPP Increased TBCA
Decreased the Fraction of GPP Allocated
Belowground 48 ANPP 32 ?
8 Allocation 7 APAR
31
Rede Experimental BEPP Brasil Eucalyptus
Produtividade Potential
www.ipef.br/bepp/
32
BEPP Main Objectives
  • To estimate the potential productivity and
    efficiency use of resources of Eucalyptus
    genotypes in Brazil
  • To determine the C fixation, allocation and
    storage of Eucalyptus plantations under water,
    nutrient and dominance manipulations
  • To test how stand structure and dominance
    influence production
  • To develop information for management
    applications to increase wood production and
    sustain the environment

33
3rd Reunião Anual BEPP Veracel Site 2.5
Years-Old
34
BASIC TREATMENTS
Fertilization Irrigation Planting Code

Potential Irrigated Uniform FIU
Potential Irrigated Heterog. FIH
Potential No Uniform FNU
Traditional Irrigated Uniform TIU
Traditional No Uniform TNU
Control No No Fert CNU
35
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36
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2.8
5.8
39
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40
TNU 76 Mg/ha FNU 78 ( 3 ) FIU 105 (
38 )
41
TNU 168 Mg/ha FNU 178 ( 6 ) FIU 197
( 18 )
42
Conclusions Wood Biomass
  • Traditional Fertilization is Necessary for
    Adequate Eucalyptus growth
  • Actual Levels of Applied Nutrients are adequate
    for expected growth rates, or even higher.
  • All sites are Water Limited (High Rainfall yearly
    influence)
  • Stand Uniformity is a key issue for getting the
    expected productivity of clonal plantations

43
Why Such Differences?
  • Ecology Production Equation
  • Wood Biomass Sum WNPP
  • WNPP and ANPP are fractions of GPP
  • ANPP APAR . LUE

44
3 year-old ResultsWWood Biomass at Mid Rotation
ANPP at peak (Mg ha-1 yr-1)
45
ANPP Mg/ha/yr
Clone, Fert. Irrigated
Clone, Fert.
Clone No Fert.
0.8 1.4 2.2
3.6 5.0 7.0 LAI (m2/m2)
46
Veracel
BEPP
World Ecosystems
Net Primary Production (g C m-2 yr-1)
Forest Woodlands Grasslands
Schimel et al. 1996
Evapotranspiration (mm yr-1)
47
ANPP and LAI for all Plots from Years 1 to 3
LUE
LAI
Leaves Grow Trees
48
Happy Leaves Grow Trees
49
CONCLUSIONS
  • Traditional Fertilization is necessary and
    adequate to promote increase in LUE and LAI to
    optimal levels
  • Water stress is the dominant environmental
    restriction to Potential Productivity mainly to
    its control, in the short term, in LUE
  • The decrease of growth due to Heterogeneity is
    due to the drop of LUE of the stand (not LAI)
  • Tree Improvement are selecting genetic material
    with higher LUE, but
  • The mechanisms of Stomatal Conductance, LAI
    Litterfall and Root Growth are key processes to
    be addressed for tropical plantations in
    drought-risk areas
  • The BEPP Data Set will be an extreme valuable
    source of information for Ecophys- and Hybrid
    Model

50
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51
24 months
52
FIU 105 Mg/ha FIH 92 ( - 12 )
53
FIU 197 Mg/ha FIH 166 ( - 16 )
54
MAESTRA Model Tree Growth Tree Light Use
55
Largest trees used light most efficiently to grow
wood Uniform plots more efficient for all sizes
End of rotation, Aracruz
Light Use Efficiency g/MJ
56
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57
Genética Manejo
58
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59
gs per Clone
60
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61
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62
How Does Irrigation Influence WUE ?
No significant change in WUE
63
Fine root distribution
64
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65
Landscape-scale studies of plantation ecosystems
response to management lessons for better
interpretation of plot-level studies
66
Simple, powerful design pair a random subsample
of routine inventory plots with a complete
managed plot (twinplot design)
Inventory networks 1 Permanent Plot for every
20 ha Stratified by Species/Climate/Soil/Age/SI
A 5 subset of Inventory plots is used for the
Twinplot design Same Species/Climate/Soil/Age/SI
and Management
(Stape et al. 2006 FEM)
67
Wood Productivity
DEFINING FACTORS Genotype, Tem, Rad.
CO2 LIMITING FACTORS Water, Nutrient s
DEFINING FACTORS Genotype, Tem, Rad.
CO2 LIMITING FACTORS Water,
Nutrients REDUCING FACTORS Weeds, Pests,
Diseases
Potential
Attainable
Actual
68
Reaching Potential Productivity
DEFINING FACTORS Genotype, Tem, Rad.
CO2 LIMITING FACTORS Water, Nutrient s
DEFINING FACTORS Genotype, Tem, Rad.
CO2 LIMITING FACTORS Water,
Nutrients REDUCING FACTORS Weeds, Pests,
Diseases
Potential
Attainable
X
X
X
Actual
69
Measurements Every 6 or 12 Months
70
127 Twin-Plots (2002
71
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72
4.8 Mg/ha/yr
25 19 to 24 Mg/ha/yr
73
The BEPP site
74
Economical Analysis
75
Wood Productivity
DEFINING FACTORS Genotype, Tem, Rad.
CO2 LIMITING FACTORS Water, Nutrient s
DEFINING FACTORS Genotype, Tem, Rad.
CO2 LIMITING FACTORS Water,
Nutrients REDUCING FACTORS Weeds, Pests,
Diseases
Potential
Attainable
X
X
X
Actual
76
6-months Rainfall - SP
5 Mg/ha/yr
288 mm 934 mm 165 mm
867 mm
77
Limiting Factors - E.grandis (SP)
Water
Weeds, Nutrition
Productivity (m³/ha/yr)
78
LAI Ceptometer (APAR)
79
Increase in Productivity was a combination
8.6 Mg/ha/y
2.2 Mg/ha/y
BA
80
tp
Increase in LAI...
81
tp
...Increase in Canopy Efficiency
82
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83
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84
2008 Picture.Still Empirical Aproach
85
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86
Leaves Kill Trees
87
1,155 Twin-Plots
88
How to interact, and use, all the increasing
knowledge ?
89
Model
90
3-PG Model Landsberg Waring 1997
91
Modelo 3 EV
92

93
ICA (ton/ha/a) Jun 2000
94
Inventory Plots
95
LAI ?
96
Manuals - Inventory
97
CBERS, CBERS2
98
Essential for Modelling Validation/Testing
BA
99
Performance of the Process-Based Model for
Control-Plots (Fertility-rating based on
Fertilization-Responses)
Empirical SI Yield Model
3-PG Process-Based Model
100
Forest - Center MAI m³/ha/yr
101
Also Centered in Water Liters/ctch/yr
102

103
PPPIBPotential Productivity of Pinus in Brazil
104
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105
PPPIB Produtividade Potencial do Pinus no Brasil
Jose L. Stape USP Mike Ryan USDA
Vale do Corisco Renato Norske Henrique,
Fernando Klabin Djalma, Márcia Arauco Ricardo,
Hélio Caxuana Gustavo, Eduardo Rigesa Ricardo,
Luis Masisa Mariana Stora Enso Edival, Monica
Juliana André Arbogen Fábio, Fernando
106
III Reunião PPPIB USP
107
Soils High Variability
Inceptisol
Ultisol
Oxisol
108
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109
And Root System
110
Productivity (10 to 30 m3/ha/yr) Site Index (18
to 30 m)
111
RootAboveground Ratio x MAI
112
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113
92 Sites 368 Plots, MAI 3 a 38 m³/ha/yr
114
Conclusion
  • Tropical Areas have a high potential to produce
    multipurpose wood from different species with
    high productivity and using less land
  • Plantations must be continuously study to be
    correctly managed for the long-term
    sustainability
  • Ecophysiological Modelling is the final goal to
    allow real ecosystem (forest) management
  • Cooperative programs are the ideal system to
    speed up most of these initiatives

115
Undergraduate and Graduate Students
116
Evaluation of the Potential Productivity of
Loblolly Pine in Southeastern US using a
Twin-Plot Approach across Geological-Climatic
Gradients
  • North Carolina State University
  • Virginia Tech
  • University of Georgia
  • CAFS 09.14

117
Potential Current Annual Increment, LAI 4.0 (To
be tested!) (Mode
Flores Allen 2005
118
Or Any Ideal Agreed Transect
119
Different Nutrient Deficiencies
120
60 Twin-Plot Pairs across Georgia
Small-Scale
121
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