fgya 2006 01 prsnttn postharveststanddevconference developmentofalternativereforestationstandards
TRANSCRIPT
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8/14/2019 FGYA 2006 01 Prsnttn PostHarvestStandDevConference DevelopmentofAlternativeReforestationStandards
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January 31, 2006
Post-Harvest Stand Development
Conference
Development of Alternative Reforestation Standards
January 31, 2006Richard Briand, RPF
West Fraser Mills Ltd
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Overview
Who?
What?
Where? When?
Why?
How?
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Who?
6 FMA holders West Fraser (Alberta Divisions):
Blue Ridge Lumber Hinton Wood Products
Slave Lake Pulp Sundre Forest Products
Alberta Newsprint Company Sundance Forest Industries
Silviculture practitioners, growth &yield/timber supply analysts, managementplanning foresters all working together!
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Who?
Total Area: 3.5 million ha
Total Conifer AAC: 5.3 million m3
Total Deciduous AAC: 1.2 million m3 Combined represents ~28% of Albertas
approved AAC
12 forest products companies & manysmaller operators
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What?
Develop regeneration standards whichare tied to the growth and yieldprojections used in FMA specific forest
management plans
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Where?
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When?
Stage 1 (1 year duration)
Due: May 1, 2006
Stage 2 - (4 year duration) Due: May 1, 2010
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Why?
Demonstrate sustainability
Soon to be government requirement
Had concerns with some aspects of thecurrent system (i.e. FTG definition)
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How?
Establish operational link to currenttimber supply analysis yieldexpectations
Two related issues: What do the models say we need to
achieve? (work back from rotation agetargets)
What will our current treatments produce?(work forward using regen survey data)
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Base Strata
I Deciduous (D)
II Hardwood/Pine (DC)
III Hardwood/Spruce (DC)
IV White Spruce/Hardwood (CD)V Pine/Hardwood (CD)
VI Black Spruce/Hardwood (CD)
VII White Spruce pure or leading (C)
VIII Pine pure or leading (C)
IX Black Spruce pure or leading (C)
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Growth
PerformanceEstablish
-ment
Regeneration
Rotation
Time
Regeneration and Growth Phases
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Linking Volume Yield Targets
0
50
100
150
200
250
300
0 10 20 30 40 50 60 70 80
Stand age (years)
Volumeperh
a(m3)
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Average versus Minimum Targets
0
10
20
30
40
50
60
70
80
Volume per ha
Frequency
minimum
average
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Average and Minimum Yield Targets
0
50
100
150
200
250
300
0 10 20 30 40 50 60 70 80
Stand age (years)
Volumeperha(m3)
Average
Minimum
Average target:
the average yield per ha at rotationassumed for a stratum in the
FMP and AAC
Minimum target:the minimum yield per ha
assumed for any block within the stratum
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0.0
5.0
10.0
15.0
20.0
25.0
0 10 20 30 40 50 60 70 80
Stand age (years)
Topheight(m)
Linking Height
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0
500
1000
1500
2000
2500
0 10 20 30 40 50 60 70 80
Stand age (years)
Stemsperha
Linking Density
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0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80
Stand age (years)
Percentstocking(PS)
Linking Stocking
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0
500
1000
1500
2000
2500
3000
3500
4000
0 10 20 30 40 50 60 70 80
Stand age (years)
Stemsper
ha
PS 100
PS 80
PS 60
PS 40
Stocking Effect on Density
PS = percent stockingat establishment
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0
500
1000
1500
2000
2500
0 10 20 30 40 50 60 70 80
Stand age (years)
Stemsperha(targetspecies)
SDFaw 0
SDFaw 400SDFaw 1000
SDFaw 2000
SDFaw 3000
Competition Effect on Density
SDFaw = aspenstand densityfactor
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Stand Models underDevelopment for LinkingPerformance and Yield Targets
Height Re-fitted height-SI-age models - use PSP trajectories, solve site tree replacement issue,
include regeneration data, based on total (versus breast-height) age
Stocking Percent stockingage-SI models - direct link to conventional regeneration surveys,
address spatial effects, provide basis for spatial modeling Density
Non-spatial and spatial mortality functions predicting changes in stems per ha overtime from current or initial density, site quality and stocking
Competition Mixed species mortality models - describe stand density dynamics over time, as
impacted by current or initial density, site quality, stocking, and species mixtures
Mixed species percent stocking models describe changes in stocking of a targetspecies over time, as impacted by stocking of target and competing species, and sitequality
Diameter increment models predict increment of a target species in relation to its age,site index, initial or current density and diameter, spatial distribution, and theabundance and spatial distribution of other species
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Implementation Policy issues Technical
More focus on assembling & standardizing data Develop tools for reporting & analysis Training new survey systems, different things to measure
Communication Government Company staff Contractors Public
Corporate
Costs (revise expectations = revise budget) Silviculture Information System
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and it takes a lot of time
Time and labor intensive process
150-200 person-days / companyexpected for the first approximation
+ consultant time / costs
Not trivial, but valuable results
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Questions?
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