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Fig. 1. Workflow of the study including the input information about wind, forest, and management and the modelling process used to find the final solutions.

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Fig. 2. A representation of the creation of the set of wind scenarios. For each zone, a wind event path (a set of wind events at varying intensities across the planning horizon) is selected, with a single landscape-level wind scenario being a combination of wind event paths for each zone.

Table 1. Allocation scheme that assigns wind event paths into a specific group that represents a specific set of intensities and frequencies. A wind event path is a set of wind events at varying intensities across the planning horizon. The five groups represent different assumptions of wind disturbance patterns: low intensity low frequency (LL), low intensity and high frequency (LH), moderate intensity and low frequency (ML), moderate intensity and moderate frequency (MM) and high intensity and low frequency (HL). Points from 1 to 3 were assigned to different wind intensities to regulate the frequency of wind disturbances, with a maximum of 4 points allowed per wind event path.
Number of wind event path (Total cases) Point sum Group
(Intensity, Frequency)
No wind disturbance (1) 0 LL
1 low intensity disturbance (6) 1 LL
2 low intensity disturbances (15) 2 LL
1 medium intensity disturbance (6) 2 ML
3 low intensity disturbances (20) 3 LL
1 high intensity disturbance (6) 3 HL
1 low and 1 medium intensity disturbances (30) 3 ML
1 low and 1 high intensity disturbances (30) 4 HL
2 low and 1 medium intensity disturbances (60) 4 ML
2 medium intensity disturbances (15) 4 MM
4 low intensity disturbances (15) 4 LH
Table 2. Notation used in the stochastic programming models.
Symbol Description
Sets
N The set of wind scenarios representing the forest holding level uncertainty
T The set of time periods under consideration
J The set of stands representing the forest holding
Variables
pn The probability of a wind scenario n
CVaR* The maximum conditional value at risk from all periods evaluated using a confidence level of α
CVaRt The conditional value at risk for period t
E(NPV) The expected net present value for the set of wind scenarios
Hajknt The quantity of wood for the specific assortment a, at stand j, for management schedule k, for wind risk scenario n, at period t
Int The income generated during wind scenario n and period t
Lnt The downside losses for wind scenario n and period t
NPVn The net present value of a wind scenario n
PVjkn The remaining productive value from stand j and management schedule k for wind scenario n
xjk The decision variable for stand j and management schedule k
Sajknt The quantity of salvage material for wind scenario n, stand j, management schedule k, and period t
Zt The value at risk for period t
Parameters
bt The income target for each period t
Cjknt The silvicultural actions for stand j, management schedule k, wind risk scenario n, and period t
ρ A small positive value to act as an augmentation term
P The value of the assortment of timber, salvage wood, and the costs of silvicultural activities
r A parameter describing the discount rate applied
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Fig. 3. A scatter plot of the two objectives (expected net present value (E(NPV)) (x-axis) and the minimum conditional value at risk (CvaR)) values across all 6 periods. Panel A) represents the cases when Equation 1A (maximizes E(NPV)) is the objective function, Panel B) represents the case when Equation 1B (minimizes the maximum CVaR). The colors represent the wind scenario assumption made when planning, while the marker represents the possible occurrence of a specific wind risk scenario. Note different scale on y-axes. View larger in new window/tab.

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Fig. 4. The performance of the expected net present value (E(NPV)) for both cases. Case 1: is when we aim to maximize the E(NPV), while case 2 we aim to minimize the maximum conditional value at risk (CVaR). The solid lines represent the case when low intensity low frequency (LL) wind scenarios occur, while the dashed lines represent the case when high intensity low frequency (HL) wind scenarios occur. The red lines (LL) represent that planning is based on the assumption for the LL wind scenarios occur, while the green (HL) lines represent that planning is based on the assumption is the HL wind scenarios occur. View larger in new window/tab.

Table 3. Comparison of the optimized solutions, either maximizing expected net present value (E(NPV)) or minimizing the conditional value at risk (CVaR). The payoff table describes the specific cases depending on which wind patterns are planned for versus if a different wind pattern would occur, where LL stands for low intensity low frequency wind and HL – high intensity low frequency wind.
MAX E(NPV) MIN CVAR
LL Occurs HL Occurs LL Occurs HL Occurs
E(NPV) Planned for LL 9214 7657 9087 7578
Planned for HL 9119 7933 8 535 7304
CVAR Planned for LL Period 1 1774 1703 1218 1211
Period 2 677 486 697 494
Period 3 410 216 699 446
Period 4 113 87 696 338
Period 5 443 214 698 435
Period 6 462 130 699 235
CVAR Planned for HL Period 1 1944 1853 599 599
Period 2 808 577 995 599
Period 3 279 219 994 620
Period 4 237 122 809 613
Period 5 590 271 953 610
Period 6 297 61 1018 597
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Fig. 5. The period incomes for the case when minimizing the maximum conditional value at risk (CVaR) (Case 2) when low intensity low frequency wind scenarios occur (LL). The solid red lines present the periodic incomes when planning for the low intensity low frequency (LL) wind scenarios (correct assumption). The solid green (HL) lines present the periodic incomes when planning for the high intensity low frequency wind scenarios. The shaded area of the graph indicates when the targeted income value has not been met, with the symbol at the x-axis corresponds to the CVaR value. View larger in new window/tab.

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Fig. 6. The period incomes for the case when minimizing the maximum conditional value at risk (CVaR) (Case 2) when high intensity low frequency wind scenarios occur (HL). The dotted red lines (LL) present the periodic incomes when planning for the low frequency low intensity (LL) wind scenarios. The dotted green (HL) lines present the periodic incomes when planning for the high intensity low frequency wind scenarios (correct assumption). The shaded area of the graph indicates when the targeted income value has not been met, with the symbol at the x-axis corresponds to the CVaR value. View larger in new window/tab.