ForestGales

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). 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. 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, private legal entities (cooperatives / corporations / trusts / partnerships / condominium associations), public land managers (i.e. state-owned / federal / cantonal / communal forests), national forest administration, NGO, service providers
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	[[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.]]

General System description

System name: Geographic Analysis of the Losses and Effects of Storms in Forestry

Acronym: ForestGALES

Brief overview

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.

Scope of the system

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.

System origin

• Developed by the Stability project team from the GB Forestry Commission.
• ForestGALES was designed in consultation with representatives of both private and state forestry organisations.
• ForestGALES 2.1 PC-based version can be purchased by 130£. There is also a free, web-based, reduced, single stand version available within the GB Forestry Decision Support System previous registration.
• Used in research, education, public and private sector forestry.

Support for specific issues

Wind hazard, it estimates critical wind speed that will cause damage.

Also, the model allows greater flexibility for testing different forest-management scenarios such as the choice of cultivation, thinning options, drainage improvements, the impact of clear-cutting and the creation of retentions.

Support for specific thematic areas of a problem type

• Silvicultural
• Certification
• Conservation
• Restoration
• Development choices / land use zoning
• Policy/intervention alternatives
• Sustainability impact assessment (SIA)

Capability to support decision making phases

• Intelligence

gives user detailed site analysis (climate and soil parameters).

• Design

provides site analysis in context of many themes.

• Choice

allows user to vary species choice, management options.

• Monitor

highlights risks which in theory could encourage monitoring.

Related systems

• GB Forestry DSS
• Conifer Timber Quality Model
• ESC
• EMIS
• HMSS
• ForestGALES is part of the STORMRISK project, which aims to prevent the North Sea Region from the effects of storm felling in forest landscapes.

Data and data models

ForestGALES screen showing the query form for Single stand predictions using field measurements.

Typical spatial extent of application

Stand based tool operates at stand scale upto 10 hectares, batch GIS tool has generated regional and national scenarios.

Forest data input

Location via OS GB six figure grid reference, e.g., NT090950. This allows site windiness to be determined from a digital map.

Type of information input from user (via GUI)

In the Predictions using field measurements mode the users have to input the characteristics of stand (name, cultivation, drainage, soil type, and stocking), tree (species, top height of stand, and mean DBH), and the type of trees standing on the edge. DAMS (measure of site windiness) can be introduced through the grid reference of the site or can be calculated introducing some stand topography characteristics. If the Predictions using yield models is chosen, the tree characteristics would be calculated from yield models, having the user to introduce the yield class, thinning regime, initial spacing, and age from the stand. In Predictions through time mode no new information from the above explained is required.

The available species are:

• Scots pine
• Corsican pine
• Lodgepole pine
• European larch
• Japanese larch
• Hybrid larch
• Douglas fir
• Noble fir
• Grand fir
• Sitka spruce
• Norway spruce
• Western hemlock

Models

Forest models

The ForestGALES model takes into account the effect of species, cultivation, drainage and silviculture. Using information about the site (including soil and cultivation) and the trees (such as species and height), the model first calculates the wind speed at which trees will be damaged either by uprooting or stem breakage. A mechanistic model is used in order to estimate this parameter. The probability of damaging winds occurring is then calculated using information on the wind climate.

Decision Support

Definition of management interventions

Thinning, no thinning, spacing, stocking density, creation of brown edge (i.e. removing windfirm edge and creating gap).

Prescription enumerating all selected possibilities at stand level, coarser information in GIS layers.

Typical temporal scale of application

Allows full lifecycle analysis of a rotation 15-80 years depending upon species.

Types of decisions supported

• Management level
  • strategic decisions
  • administrative decisions
  • operating control decisions
• Management function
• planning decisions
  • organizing decisions
  • command decisions
  • control decisions
  • coordination decisions
• decision making situation
  • unilateral
  • collegial

Decision-making processes and models

• Logic modeling
• Multiple criteria/ranking

Output

ForestGALES output screen showing results form for a single stand prediction through time.

Types of outputs

Stand version displays critical wind speed, return period, and wind damage risk status. Thematic maps can be generated via a batch tool for visualisation in GIS.

In the Predictions through time mode the results are displayed in a graphic and a table showing the return period in years for damaging storms at intervals throughout the rotation.

There are export facilities allowing results to be sent to Microsoft® Word as a .doc or .rtf file in the Single Stand mode and to Microsoft® Excel® in Batch Mode for display, storage and printing.

Spatial analysis capabilities

The main part of ForestGALES (that does the calculations) was constructed as a stand-alone dynamic link library (DLL), being accessible from other programs, so made it easily integrated with GIS software such as ArcView.

Abilities to address interdisciplinary, multi-scaled, and political issues

Evaluate interactions between different basic information types (biophysical, economic, social). Produce coordinated results for decision makers operating at different spatial scales facilitate social negotiation and learning

System

System requirements

• The commercial version was designed to run under Microsoft® Windows® OS.
• Pentium 133 MHz processor or better
• 500 MB free hard disk space (for full installation including wind scores)
• 128 MB RAM (minimum)
• CD-ROM drive
• Super VGA (800x600) or higher resolution monitor
• Recommended: Microsoft Excel/Word 97® or above to use data export facilities

Architecture and major DSS components

Desktop UI was written in Delphi™ as a PC-based system.

The application has also been adapted to link to the ArcView™ GIS system using Avenue™ scripting.

Usage

Used in education, public and private sector forestry and research.

Initially developed in Scotland for its usage in the British forests, has since been adapted for use New Zealand, south-west France, eastern Canada and Japan. Also, an adaptation that allows input parameters and wind climate to be easily modified for other countries will be made available.

Computational limitations

Runtime can be an issue for landscape scale analysis over time, but still not more than a few hours.

User interface

The appearance of ForestGALES offers a consistent view designed for easier operation.

For GIS offline service to process data and return a spatial layer with wind risk variables attached. Processing via command line UI. Visualisation any GIS tool.

Documentation and support

Manual available for desktop version. Support available via email and extensive on-line help.

ForestGALES training courses were run in the past with regularity, but now are being run when there is sufficient demand.

Installation

• Desktop version is easy to install in MS Windows with the program's CD.
• Online reduced version only requires a web-browser and an internet access.

References

External resources

• 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.