1. General Model Information

Name: Western Root Disease Model

Acronym: WESTERN


Main medium: terrestrial
Main subject: populationdynamics
Organization level:
Type of model: not specified
Main application:
Keywords: pest, root disease, forest stands, Armillaria app., Phellinus weirii, bark beetle

Contact:

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Author(s):

Abstract:

The Western Root Disease Model predicts the spread and impact of pathogenic Armillaria app. or Phellinus weirii (Murr [Gibn.]) in mixed species, multi-aged forest stands in the western United States. The model has been enhanced to simulate bark beetle attack when designated conditions are met. Model input data requirements include sample inventories of actual stands, tree size attributes, stand area, sizes and distributions of diseased centers, and frequency of tree infection by root disease.

The frequency of tree infection by root disease is compiled by the model from disease status codes of individual sample trees, estimate-based, or independent samples from the stand. Tree size attributes, stand area, size and distributions of diseased centers are derived from field data. The model output data are summary statistics for root disease areas. A detailed output file is provided describing species, specific consequences of root disease infection on tree growth and mortality. Currently the temporal scale is 400 years. A new parallel processor will allow multiple runs simultaneously. The spatial scale is currently 300 acres, which the parallel processor would allow for increased area.

Author of the abstract:

CIESIN (CONSORTIUM FOR INTERNATIONAL EARTH SCIENCE INFORMATION NETWORK):

A Model Data Needs Assessment Report CIESIN


II. Technical Information

II.1 Executables:

Operating System(s): PC 486

II.2 Source-code:

Programming Language(s): FORTRAN

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



V. Further information in the World-Wide-Web


VI. Additional remarks

This model may provide insight into the development of methodology inpredicting and quantifying disease effects as related to globalchange.


Last review of this document by: 7.May 1997
Status of the document:
last modified by Tobias Gabele Wed Aug 21 21:44:52 CEST 2002

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