1. General Model Information
Name: FORest PLANning
Main medium: terrestrial
Main subject: biogeochemistry
Organization level: landscape
Type of model: static-algebraic equations
Main application: decision support/expert system, simulation/optimisation tool
Keywords: forest, management, linear programming, linear programming matrix, strategic, forest level, optimization, decision support system, matrix generator, report writer, uses commercial solver package
Kathy Sleavin(K. Norman Johnson, Thomas W. Stuart, Sarah A. Crim) Forest Service
3829 E. Mulberrry Fort Collins, CO 80524 Attn: EM
Fax : 970-498-1660
K. Norman Johnson, Thomas W. Stuart, Sarah A. Crim and colleagues atWO-EM.
FORest PLANning (FORPLAN) is a strategic forest-level planning and
optimization tool. It uses linear programming, interprogramming, mixed-integer
programming, and goal programming techniques. This model allows the user to
find the combination of activities and outputs that will maximize or minimize
the desired objectives, subject to constraints.
The purpose of the model is to determine economic and financial efficiency by
optimizing land allocation and resource scheduling. The geographic level of
analysis can be at the forest-wide or sub-forest area. The planning horizon
can be 1 - 20 periods, from 1 - 100 years per period. FORPLAN is the primary
planning model used by the Forest Service to study various land and resource
uses. It has been used to determine the most efficient harvest pattern and
transportation network for a managed area. Additionally, it has been used to
study the effects of resources on outputs for specific forest plans.
Author of the abstract:
CIESIN (CONSORTIUM FOR
INTERNATIONAL EARTH SCIENCE INFORMATION NETWORK):
II. Technical Information
Operating System(s): IBM compatible 80386 or 80486 or better - Ketron's C-whiz LPsolver. Intel math coprocessor. Minimum of 6 MB RAM. Hard disk with at least 200 MB freespace.
Programming Language(s): FORTRAN 77
Quality of Available: Requires lots of data, often taking years to build a complete model.quality should be equal across resources, but often is not, resulting in skewed results. Timberdata is generally accurate, wildlife and range data is passable and other resource data is based onprofessional knowledge and judgment. Public preference data is minimal.Quantity of Available: Numerous resource models used to provide data. Limitedquantitative data on resource interactions, public preferences, or future market conditions.Other Shortfalls: Strict comparison and tradeoffs between all data entered into the modelregardless of quality. This tends to bias model structure and solution toward timber resources, thedata rich resource. Non-quantifiable resources (such as non-game species) can be lost.
III. Mathematical Information
Model Input Data Requirements: Data set and yield file. Data set contains model structure,activity and output interactions, economic data, land area specification, and objective function.Also contains all possible management choices and scheduling alternatives. Yield file containsresource coefficients in response to management actions.
Model Input Data Source: Planning ID Team and resource models, GIS spatial data, andhistorical data and public comment. Model Output Data: Flat files and data base files, and fixed format reports.
Model Output Data: Flat files and data base files, and fixed format reports.
Temporal Scale: Planning horizon 1-20 periods (1-100 years/ period).
Spatial Scale: Forest, zone, analysis unit.
Johnson,K.N., Stuart,T.W. and Crim,S.A. "FORPLAN Version 2: an overview".USDA Forest Service, Land Management Planning Systems Section,Washington, D.C. 1986.Kent, B., Bare, B.B., Field, R.C. and Bradley, G.A. (1991) Natural Resource Land ManagementPlanning using Large-Scale Linear Programs: the USDA Forest Service experience withFORPLAN. Operations Research, 39, 13 - 27.
V. Further information in the World-Wide-Web
VI. Additional remarks
The model can be used to study the changes in timber harvest levels undervarious objectives, which in turn can be driven by different global changescenarios. Output levels can be examined to determine if a management plan issustainable over time. Alternative management plans may be identified, andeconomical and environmental costs and benefits of different alternatives canbe measured.
Last review of this document by: T. Gabele: 17. 07. 1997 -
Status of the document:
last modified by
Tobias Gabele Wed Aug 21 21:44:43 CEST 2002