Result Variables

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[[::Result Variables|English]]

Figure 1. Variable selection dialog. The contents may vary depending on application and context.

Introduction

Variables that can be projected by the Heureka system are listed here. Notes:

Most variables has a before and after-component, which refers to state or value before treatment, and immediately after treatment.
When you select variables, for example when running the Treatment Program Generator in PlanWise, or when defined the table view in StandWise, you can hover with the cursor over a variable, in the tree view control, to get a short tooltip description.

Alternative summary

Included: Dummy indicator
IsSetAside: Indicates if the treatment unit is set aside for nature conservation, as part of a parent treatment unit.
Net present value: Net present value for the alternative.
Discount rate: Discount used when net present value was computed.
SoilExpectationValue: Net present value when starting from bare land. Heureka computes three forest generation and assumes the third one to be repeated in perpetuity. Included in net present value. There is currenly an error in Heureka: When seed trees are left after clear cutting and harvested, say 10 years later, the revenue is wrongly considered a revenue in the subsequent generation. This means that the soil expection value is overestimated when seed trees and shelterwoods are retained.
TerminalValue: Value at the end of planning horizon. Computed as the net present value, minus the sum of all disocunted net revenues (revenues - costs), minus discounted soil expectation value, then prolonged to the last period. As a user, you do not need to worry about this variable!
TerminalValueYear: Year to which TerminalValue refers. As a user, you do not need to worry about this variable!

Forest data

The Forest Data result category contains result that describe common forest state variables.

Volume: Volume per ha
Stems: Stems per ha
Basal Area: Sum of cross-sectional basal area of trees at breast-height (m2/ha)
Dg: Diameter of mean basal area tree (cm)
Dgv: Basal area weighted mean diameter (cm)
Mean age: Basal area weighted mean age (yrs)
Hgv: Basal area weighted mean height (dm)

Species data

Same as forest data, but for each species group. The species group codes in Heureka are currently fixed, see defintion of codes here.

Note: It is a bit inconsistent that these data are not included in Forest data. Other result types, such as "Treatments", store both species-wise data and totals in the same node. Each results type actually represent a table in the result database.

Treatment data

Dg Harvest: Dg (diameter of mean basal area tree) of harvested trees (cm).
Dgv Harvest: Dgv of harvested trees (cm).
Regeneration Species: Main species planted or sowed.
Regeneration Method: Planting, Sowing, Seed Trees, or Extensive,
Stems Harvested: Stems harvested per species (stems per ha).
Thinning Form: Thinning form (ratio Dg Harvest/Dg After)
Thinning Grade: Percent of basal area harvested.
Treated Area: Proportion of stand productive area at which treatmemt was applied.
Treatment: treatment applied
Mean Tree Volume Harvested: Mean volume of harvested trees (m3sk/tree).
Volume Harvested..: Volume harvested (m3/ha and species).
Year: Treatment year, starting from year 0.
Year Offset: 2.5 if period midths are used, 0 otherwise.

Harvesting data

Not in use, but will replace part of financial data and treatment data.

Growth

Current and mean annual increment (m³sk/ha,yr). Gross and net values per tree species. Growth refers to growth from previous time (period) to current.

Mortality

Mortality per tree species (m³sk/ha).

Diameter distribution of cuttings

Stems harvested (trees/ha) per diameter classes (?).

Financial value

Currently consists of revenues, costs, and yields. Some of these will be moved to Treatments.

Biomass

Biomass (ton dry matter/ha) for different parts of the trees, e.g. stem, branches and roots. Summarized per tree species.

Carbon and nitrogen

Carbon and nitrogen (ton/ha) for soil organic carbon and nitrogen.

Dead wood

Dead wood (m³/ha) for different types of dead wood in different decay classes. Summarized per tree species.

Forest domain

Forest domain
TreatmentControlCategory

Recreation index

Recreation index: Stand-level recreation index (value between 0 and 1) as a function of stand structure, see Recreation value.

Habitat data

Proportion of stand area that is suitable habitat for the subject species. These results can be computed with the Heureka Habitat Model (not released though), and imported back to the database through the "Import Data from Habitat Model", found under the Tools menu. Habitat models available:

Perisoreus infaustus: Siberian Jay (lavskrika)
Alectoria sarmentosa: Witch's hair (garnlav)
Dendrocopus minor: Lesser Spotted Woodpecker (mindre hackspett)
Bonasa bonasia: Hazel Grouse (järpe)
Harminius undulatus: (violettbandad knäppare)
Scirius vulgaris: Red squirrel (ekorre)

Statistics

Mean, standard deviation and standard errors for age, volume, and stem density, over sample plots within a stand. Applicable to first period, when data has been collected from field sample plot inventory.

Structural diversity

Even-aged class
Tree-size diversity class (Hugin definition).
Tree-size diversity class (Gini coefficient).

User-defined result variables

Not to be confused with user-defined input variables when importing a stand register!

Applies to: PlanWise and RegWise from version 1.5.

The abundance of large trees is an important factor for biodiversity. You can define your own result variables and include these in reports and also in optimization models. Up to ten result variables can be defined for volume or number of trees of a certain species group. A diameter criteria is given for each variable.

To define a new result variable, follow these steps:

In menu Tools, select User Results.
Click Add Row.
Name your variable in column Alias, for example "Large aspens >= 30 cm".
Select species in column Species. Currently there is only support for species groups. Use the option "Select multiple valus..." to include more than one species group in the variable.
In column Variable, select Volume or Stems depending of what you are interested in.
Defined the diameter criteria in column Min Diameter.
Repeat steps 1-7 for each variable you want to add.
Click OK when you are done.