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Harvest Planning
Forest Planning Analyst
American Forest Management, Inc.
Gregory Albert, MS
Harvest Planning Overview
Forest management is a complex endeavor with many decisions,
each having cascading effects
Forest planning software creates optimized harvest plans using
linear programming solutions
Images from Remsoft
Lifecycle of a Stand
100’s of stands…
1000’s of choices…
Images from Remsoft
CF
Plant
Fert. A
Herb
1st TH
2nd TH
CF
CF
1st TH
2nd TH CF
CF
CF
Fert. B Herb
1st TH
2nd TH CF
CF
CF
Herb
1st TH
2nd TH CF
CF
CF
1st TH
2nd Th CF
CFPlant SE
Fert. A
Fert. B
Herb
1st TH
CF
2nd TH
CF
CF
Sell
Easement
Lifecycle of a Stand
Images from Remsoft
Lifecycle Planning
Images from Remsoft
Scale/Scope
Time (forecast horizon)
Operational
Strategic
Tactical
Detail/Resolution
Schedule
Schedule
Implement
Lifecycle Planning
Images from Remsoft
Scale/Scope
Time (forecast horizon)
Operational
Strategic
Tactical
Detail/Resolution
Must allow feasible implementation
Must serve strategic objectives
Must allow feasible
implementation
Must serve tactical objectives
Objectives and Constraints
• The linear programming solution optimizes all of the harvest
planning decisions around the objectives and constraints
• Objectives are typically value/revenue driven, but are not
limited to this
• Constraints vary by property and client, but are typically
logistic or legislative limitations
• Logistic constraints such as minimum or maximum annual harvest
quotas, % caps on harvest variation (evenflow)
• Legislative constraints such as conservation laws (maintaining habitat
for species), SMZ, and other special case considerations
Model Inputs
Quick Conceptual Summary
• Objective – Plan harvest schedules of forest plantations to aid
in decision support. (Perspective is everything)
• What kind of information would we need in order to do this?
• Initial inventory information
• Mill product specifications
• Growth and Yield
• Silvicultural prescriptions
• Product pricing and management costs
Inputs
• Inventory Data
• Often in the form of spatial SHP files
• Sometimes linked to a database
• Merchandising Specifications
• Product inventory specs (often local mill specific)
• Silvicultural Costs and Procedural Windows
• Thinning and fertilization ages and costs
Inputs
Expected Pricing Trends
$-
$200.00
$400.00
$600.00
$800.00
$1,000.00
$1,200.00
$1,400.00
$/MBF
Sawtimber Pricing by Species and Model Year
DF 1
DF 2
DF 3
DF EX 1
DF EX 2
WW 1
WW 2
WW 3
WW EX 1
WW EX 2
RA 1
RA 2
RA 3
SP 1
SP 2
SP 3
Inputs
Growth and Yield
Linear Optimization Solution
Linear Optimization Solution
Linear Optimization Solution
Linear Optimization Solution
Linear Optimization Solution
Linear Optimization Solution
Model Outputs
Quick Conceptual Summary
• Objective – Plan harvest schedules of forest plantations to aid
in decision support. (Perspective is everything)
• What kind of outputs would be interested in?
• Harvest volumes (by species and product class)
• Changes in forest composition over time
• Cashflow analysis
• Financial indicators
• Activity reports
Outputs
Harvest Volumes
-
5
10
15
20
25
30
35
40
45
0
2000
4000
6000
8000
10000
12000
14000
16000
Mbfperacre
ThousandBd.Ft.
Year
Other Hardwood
Other Softwood
Red Cedar
Red Alder
Spruce
White woods
Douglas-fir
Mbf/Acre
Outputs
Age Class
-
2,000
4,000
6,000
8,000
10,000
12,000
14,000
Acres
Year
Age 60+
Age 55-59
Age 50-54
Age 45-49
Age 40-44
Age 35-39
Age 30-34
Age 25-29
Age 20-24
Age 15-19
Age 10-14
Age 5-9
Age 0-4
Outputs
Cashflow Analysis
Other Important Financial Indicators
• Net Present Value (NPV)/50-Year Discounted Cash Flow (DCF)
• These indicators let us see the financial impact of management
decisions
• How does relaxing or tightening this constraint impact value?
• How does changing an input parameter impact value?
• NPV per acre
• Good figure to self-check with
Outputs
Activity Reports
Stand Species Origin Age GIS Area Action Period Year
NCSU-1 LB PY 13 45.4 Thin1 1 2016
NCSU-2 LB PY 19 23.4 THin2 1 2016
NCSU-3 LB PY 26 104.9 CC 1 2016
NCSU-4 LB PY 1 43.2 FertA 1 2016
NCSU-5 LB PY 25 65.1 CC 1 2016
NCSU-6 LB PY 8 51.7 FertB 2 2017
NCSU-7 LB PY 12 56.8 Thin1 2 2017
NCSU-8 LB PY 21 49.3 Thin2 2 2017
NCSU-9 LB PY 27 88.4 CC 2 2017
With this data…
• Foresters have long term vision to make better decisions today
• Can perform multiple runs as ‘sensitivity analysis’ for different
management decisions
• Can project revenues and costs into the future for budgeting
• Create valuation and appraisal figures for landsale/acquisition

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