1. General Model Information
Name: Forest stand development under different ranges of silviculture
Acronym: PROGNOSIS
Main medium: terrestrial
Main subject: forestry,biogeochemistry
Organization level:
Type of model: not specified
Main application:
Keywords: forest, forest stand development
Contact:
Al Stage
Forest Services Laboratory
1221 South Main Street
Moscow
ID 83843
Phone:
Fax : 208 883-2318
email:
Author(s):
Abstract:
PROGNOSIS is a model used to simulate forest stand development under
different ranges of silviculture. It is a predictive, simulation, probabilistic
and process-oriented model. The model has been validated by comparing
output against 15 years of data collected on forest stand management in
Montana and Idaho. The model has over a dozen variants (Schuster et al.,
1993), each designed for specific locations in the United States.
The model requires input data on several site factors (e.g. slope, aspect,
geographic area, vegetation classes), an inventory of the existing stand,
and an inventory of grasses and shrubs. The model produces output in
tabular format including tree description, crown width, cover and horizontal
and vertical projections for each species.
PROGNOSIS is typically executed to examine forest stand development over
fifty year periods, assuming a static environment.
Most model runs are single-stand although multistand runs are
possible.
The model can be linked to other existing
modules, such as economic, pest (insect and diseases; e.g. PROGNOSIS
PEST EX) and natural resource routines.
Wide use within the US-Forest Service and the additional
modules that have been developed.
Author of the abstract:
CIESIN
II. Technical Information
II.1 Executables:
Operating System(s): DOS, UNIX and Macintosh
II.2 Source-code:
Programming Language(s): FORTRAN and C++
II.3 Manuals:
II.4 Data:
III. Mathematical Information
III.1 Mathematics
III.2 Quantities
III.2.1 Input
III.2.2 Output
IV. References
Schuster, E.G., L.A. Leefers and J.E. Thompson. 1993.
A guide to computer-based analytical tools for implementing national forest plans. USDA-FS General Technical Report INT-296: Intermountain Research Station. Ogden, Utah.
V. Further information in the World-Wide-Web
VI. Additional remarks
Global change implications:The model can be linked to other existingmodules, such as economic, pest (insect and diseases; e.g. PROGNOSISPEST EX) and natural resource routines.This model could be important to global change research becauseof its wide use within the Forest Service and the additionalmodules that have been developed.
FVS has replaced PROGNOSIS. Actually, they are the same program.
However, all updates and corrections to the program are now known as FVS.
Last review of this document by: R. Patzak : 17. September 1997 -
Status of the document:
last modified by
Tobias Gabele Wed Aug 21 21:44:47 CEST 2002