eucalyptus globoidea productivity in new zealand dean meason, tobias herrman, christine todoroki
TRANSCRIPT
![Page 1: Eucalyptus globoidea productivity in New Zealand Dean Meason, Tobias Herrman, Christine Todoroki](https://reader035.vdocuments.net/reader035/viewer/2022081603/5697bfe21a28abf838cb480a/html5/thumbnails/1.jpg)
Eucalyptus globoidea productivity in New Zealand
Dean Meason, Tobias Herrman, Christine Todoroki
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Outline• Ecosystem black box and drivers of productivity• Process-based modelling & its importance for alternative
species• MPI project – Predicting productivity and carbon
sequestration potential of eucalypt species• Summary
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Potential rooting depth – Landcare/Scion
Multiple site factors impact productivity
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Empirical modelling: “black box” approach
Forest ecosystem BLACK BOX
Ecosystem Input:
Ecosystem Output:
Different managementtechniques
Desired outcome ofthe stand
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Climate Change in New Zealand•Temperature rises
- 1.6 to 2.0oC in 2080•Rainfall changes
- +-10 to15% in 2080•High variability and uncertainty
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Stand Productivity
Photosynthesis TopographyTranspiration
Soil depthSoil organic
matter
Carbon allocation
Competition
Temperature RainfallSoil texture Soil fertility
Drivers of Productivity
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Empirical-based Forest Modelling
• Need thousands of plots over a long time period
• Ecosystem black box• Static, not dynamic• Radiata pine not as site sensitive
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State v ar iab les
Subs id iary v ar iab les
Climate & s ite Inputs
Los s es
Mater ia l f low s
Inf luenc es
Carbon
W ater
Trees
Ke y to colours & sha pe s
Subs id iary v ar iab les
+
H20 R ain
g C
Soil H20
ET
+
+
+
_
_
+
wS x
Deadtrees
Stocking+
+
_
wS +w S >w S x
_ _
N+
+
__
S tres s
VPD
T
FR
f
+
_
+
_
+
++
+
+
D BH
F /SR
LAILUE
SLA
+
+
_
NPP
Stem
Foliage
Roots
GPP
CO2
C ,N
Litter
+
From Sands 2000, CSIRO
Process-based Forest Modelling
3-PG
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MPI project
• Sustainable Land Management and Climate Change program (SLMACC)
• Quantify productivity and carbon sequestration potential of- Eucalyptus globoidea- Eucalyptus regnans
• Collaboration with NZDFI• Building on previous eucalypt productivity spatial
modelling
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Eucalyptus fastigata plot network
commons.wikipedia.com
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Stem volume per hectare at
age 30
Initial stocking 1250 sph
No silviculture
Eucalyptus fastigata
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Stem volume per hectare at
age 30
Initial stocking 1250 sph
No silviculture
Eucalyptus fastigata
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Stem volume per hectare at
age 30
Initial stocking 1250 sph
No silviculture
Eucalyptus fastigata
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1077 973 958 1059
980 1031 954 952
1037 1030 1020 1012
972 962 1017 1014
971 967 1060 1045
Stem volume per hectare at
age 30
Initial stocking 1250 sph
No silviculture
Eucalyptus fastigata
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Eucalypt species distribution
commons.wikipedia.com
E. fastigata E. globoidea E. regnans
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Height differs by species
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Stocking effects on stem quadratic mean diameter
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Similar spatial relationships between species
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t
E. globoidea wood density is high
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Site impacts E. globoidea productivity
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Top Height
Regime (past and futurestocking/pruning)
300 IndexGrowth Model
Yield Table(annual stocking, stem volume & stem density)
Density Model
C-Change
Annual Carbon Pools
Basal Area Outerwood DensityAge Stocking
Modelling of Carbon pools: Forest Carbon Predictor
Inputs:
Processing:
Outputs:
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Summary
• Process-based models ideal for species with limited data- Dynamic not static
• Strong correlations between E. fastigata and E. globoidea• E. globoidea not as site sensitive as first feared• E. globoidea has higher wood density than the “industrial”
eucalypts- No regional differences
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Next steps
• Finish 3-PG parameterisation for E. globoidea and E. regnans – Nov 2015
• Create spatial productivity map identifying highly suitable areas – Jan 2016
• Provide a realistic productivity range of E. globoidea’s potential – Jan 2016
• Create carbon sequestration models for E. globoidea and E. regnans – Dec 2015
• Share data and results with NZDFI