ForestGales

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Wiki quality control

Has flag N/A

Name, responsible organisation and contact person

Has full name ForestGales
Has acronym ForestGales
Has wiki contact person Stephen Bathgate
Has wiki contact e-mail stephen.bathgate@forestry.gsi.gov.uk

Software identification

Has software ForestGales.Software

Description

Has description ForestGALES allows the analysis of wind climate effects on the stability of a conifer forest. The tool can be used to assess risk over time via predicted growth from yield tables or alternatively current risk from mensuration data (top height and dbh).

Recently adapted as part of Stormrisk project to allow model to run in partner countries.

Has modelling scope Forest indicators
Has temporal scale Long term (strategic), Medium term (tactical), Short term (operational)
Has spatial context Spatial with no neighbourhood interrelations
Has spatial scale Forest level, Regional/national level, Stand level
Has objectives dimension Single objective
Has related DSS
Has goods and services dimension Non-market services
Has decision making dimension Single decision maker
Has forest management goal storm behaviour, wind hazard
Supports tree species Sitka Spruce, Norway Spruce, Douglas Fir, Scots Pine, Corsican Pine, Lodgepole Pine, Western Red Cedar, Western Hemlock, Noble Fir, Grand Fir, Japanese Larch, Hybrid Larch, European Larch
Supports silvicultural regime even-aged

Concrete application

Has typical use case
Has user profile forest owners associations, national forest administration, NGO, service providers, private legal entities (cooperatives / corporations / trusts / partnerships / condominium associations), public land managers (i.e. state-owned / federal / cantonal / communal forests)
Has country United Kingdom
Has references about examples of application
Has number of users >100
Has number of real-life applications >100
Has utilisation in education used by students
Has research project reference
Has tool dissemination

Decision support techniques used in the DSS

Has decision support techniques ForestGales.Decision support techniques

Support of Knowledge Management

Has knowledge management processes ForestGales.Knowledge management process

Support of social participation

Has support for social participation ForestGales.Support of social participation

DSS development

Has DSS development ForestGales.Description of DSS development

Documentation

Has website
Has online demo https://www.eforestry.gov.uk/forestdss
Has manual Yes
Has technical documentation No
Has reference * ForestGALES website
  • Forest Research Decision Support Portal (note registration required)
  • GARDINER B., J SUÁREZ, A. ACHIM, S. HALE et B. NICOLL (2006): ForestGALES. A PC-based wind risk model for British Forests. User’s Guide. Version 2.1. Forestry Commission. (available on-line in pdf)
  • REYNOLDS K.M., TWERY M., LEXER M.J., VACIK H., RAY D., SHAO G,. et BORGES J.G.: Decision Support Systems in Forest Management IN BURSTEIN F. et HOLSAPPLE C. W. (EDS.) (2008): Handbook on Decision Support Systems 2: Variations. Springer Berlin Heidelberg. 800 pp.

This is a probability-based model that has been delivered as a DSS. It evaluates the wind hazard of a conifer stand plantation, based on some of the stand feature, like soil, cultivation, drainage, location, or metric measures (top height, average dbh) of the existing species. It provides information as the return period for that damage to occur, risk status and critical wind speed for both overturning and stem breakage risk. It allows to quantify the wind hazard existing in actual stands or, with the help of growth prediction models or yield tables, the future risk of wind damage assumed by current decisions on the establishment of new plantations, drainage improvements, thinning options, clear-cutting impact, rotation periods or the creation of retentions. ForestGALES can be used to calculate the risk for a particular stand in the single stand mode, or in the batch or multiple stand mode, for a number of stands one after another. Within these two modes there are three ways of making predictions: using field measurements, using stand characteristics provided by a yield model, or making predictions through time, calculating the risk of damage over a typical rotation from stand characteristics contained in yield models.