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SYLVER
Features/Functions


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OverviewReturn to top of page

SYLVER is a stand level system that helps forest managers evaluate the impact of Silvicultural treatments on Yield, Lumber Value, and Economic Return. It is developed in full for coastal Douglas-fir and partially for western hemlock, Sitka spruce, western redcedar, interior Douglas-fir, lodgepole pine and white spruce. It integrates the yield data from TASS and other sub-systems, and predicts wood quality, product recovery and financial return for various management regimes. These sub-systems and operation are illustrated in Figure 1. For printing the figure, download MS Word Version (you may have to right-click to save).

 

Each sub-system of SYLVER operates independently with information provided by the user or by other elements of the system which are:

  • the Tree And Stand Simulator (TASS) that grows the stand and applies silvicultural treatments;
  • the Bucking (BUCK) and Sawmill Simulation (SAWSIM) programs that produce logs and lumber from trees grown by TASS;
  • the grading routine (GRADE) that classifies the logs and lumber according to quality; and
  • the Financial Analysis System (FAN$Y) that determines the discounted net revenue recovered from tending, harvesting and processing the stand.

Figure 1: Components and Operation of SYLVER

See Future Development


How SYLVER WorksReturn to top of page

Growth Relationships

The growth relationships that drive the development of individual trees in SYLVER are described in the TASS web site.

Database

The coastal Douglas-fir version of SYLVER is based on data from six 50-year-old stands representative of managed forests located on Vancouver Island (Kellogg, 1989). The number of trees sampled for each project is outlined below.

  • 300 trees were converted to lumber, and evaluated to estimate the log and lumber yield and grade recovery (Middleton and Munro, 1989), kiln drying degrade (Mackay, 1989), strength and stiffness of dimensional lumber (Barrett and Kellogg, 1989), and heartwood treatability (Ruddick, 1989);
  • 60 trees to study the relative density distribution (Jozsa et all., 1989), chemical properties (Swan et al., 1989) and longitudinal shrinkage (Nault, 1989);
  • 24 trees to study the juvenile-mature wood transition (Di Lucca, 1989);
  • 17 trees to study fibre length (Hamm, 1989); and
  • 9 trees to study density and chemical properties of juvenile, mature and top wood (Hatton and Hunt, 1989a), unbleached Kraft pulp properties (Hatton and Hunt, 1989b), and refiner mechanical pulp properties (Hatton and Johal, 1989).

Model Components (Interface)

Input

The input parameters for the SYLVER components shown in Figure 1 are listed below.

  • TASS input parameters are described in the TASS web site.
  • BUCK uses TASS generated tree heights, diameters (inside and outside bark for the knotty and juvenile wood core), and average knot size over the length of the stem. This program bucks each tree according to specifications (i.e., log length, diameter and taper) that maximize the value of the logs or lumber.
  • SAWSIM applies a series of predefined cutting patterns to log information generated by BUCK and selects the one that maximizes value based on average market prices. SAWSIM input parameters include the mill configuration (i.e., type of machine and kerf) and lumber specifications (i.e., thickness, width and length).  It is a proprietary program developed by Halco Software Systems Ltd.
  • GRADE characterizes logs and lumber by quality class. The grading criteria for logs are: minimum length, average small-end diameter, average knot diameter and number of growth rings per 2 cm. The grading criteria for clear and knotty lumber are: knot content and juvenile wood percent length, width and thickness.
  • FAN$Y uses stand, treatment and product information to evaluate the impact of selected silvicultural treatments on the discounted value returned by end products.  Some input parameters are:
    • land manager (i.e., crown or private); land ownership (i.e., crown or private); and market type (i.e., log or lumber);
    • forestry costs (e.g., survey, land rent, brushing and weeding, spacing, fertilization, root rot control, site preparation, planting, pruning, etc.);
    • harvesting costs (e.g., infrastructure development, operation and administration overhead, tree-to-truck, hauling, etc.);
    • manufacturing costs (e.g., milling, drying, machine stress rating, etc.);
    • market prices for logs, lumber and wood chips; and
    • financial parameters (e.g., discount rate, U.S. dollar exchange rate, inflation rate, taxes, adjustments factors for future costs and prices, lumber premiums, appraisal data, etc.).

Output

SYLVER output integrates the yield information, product recovery and financial return from a variety of management regimes. SYLVER is not distributed as stand-alone package because it is complicated and must be operated by specialists.  Furthermore, SAWSIM is proprietary software.

To provide access to SYLVER, the Forest Productivity Section divided the operating responsibilities between the user support service and the forest manager as illustrated in Figure 1.  Both formulate a series of relevant management regimes and the specifications for bucking, sawing and grading. User support processes all regimes through to the generation of product files, which are forwarded to the forest manager for use with FAN$Y on a personal computer. Then the forest manager can perform sensitivity analyses on the economic specifications to determine the most suitable prescription for local conditions. For user support, contact Mario Di Lucca.


Applications and LimitationsReturn to top of page

Applications

SYLVER is mainly used for:

  • stand level planning and economic analysis (e.g., silvicultural prescriptions for espacement, fertilization, pruning, pre-commercial and commercial thinning);
  • forest level planning (e.g., long term timber supply projections for managed stands);
  • predicting pest impact (e.g., laminated root rot and spruce weevil);
  • studies of tree and stand dynamics, wood quality and product value; and
  • education and teaching.

Link to Recent Applications Using SYLVER

Limitations

Some of the limitations of SYLVER are:

  • it cannot be distributed as an integrated stand-alone software package;
  • it cannot predict yield of complex stands (i.e., mixed-species and/or uneven-aged stands); and
  • the lumber grade data required to grade lumber is available only for coastal Douglas-fir. Work is in progress on other species.

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Last Modified: 2002 OCT 25. Ministry Contact: Mario di Lucca
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