ForestGALES

General System description

System name: Forest Gales Acronym: FG

Brief overview

Forest Gales 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).

For more information see Forest Research Decision Support Portal (note registration required)

tool encourages decision maker to discover new problems or opportunities by exposing to new information or results
tool helps decision makers in recognizing upcoming problems for which solutions have been developed previously
tool allows decision maker to actively create new knowledge when faced with a new problem and to develop novel solutions
tool allows decision maker to capture knowledge, making it available to decision makers who are seeking solutions from previously solved problems

System origin

Developed by Barry Gardiner, Juan Suarez, Bruce Nicoll, Sophie Hale and others assisting the Stability team.
Currently free to use at stand scale via web.
Some small scale use in public and private sector.

Support for specific issues

Is the system designed to take into account specific uses? E.g. guidance on ways to characterize biodiversity, economic-biodiversity tradeoff analysis methods, risk assessment methods, landscape analysis methods, timber harvest effects, climate change effects, biological effects (pests, pathogens, invasives), fire,...

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

Describe (and/or link to) other systems related

Conifer Timber Quality Model
ESC
EMIS

Data and data models

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, eg NT090950. This allows site windiness to be determined from a digital map.

Type of information input from user (via GUI)

As an alternative to location user can choose a windiness (dams) score or calculate this factor from site factors (aspect etc)

User selects tree species, soil, management scenario for detailed analysis from an intermediate screen.

Models

Forest models

Growth, wind hazard.

Social models

N/a

Decision Support

Definition of management interventions

Thinning, no thinning, spacing, stocking density, creation of brown edge (ie 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
- Bargaining / participative decision making

Decision-making processes and models

Logic modeling
Operations research modeling
- Direct approaches
- Heuristic manipulation of simulation models
Multiple criteria/ranking
Other

Output

Types of outputs

Stand version generates tables, thematic maps can be generated via a batch tool for visualisation in GIS.

Spatial analysis capabilities

integrated capabilities
GIS links via batch tool. Limitations in this context due to availability of digital soil maps.
provides standard data import/export formats (excel)
allows spatial analysis, batch tool generates thematic layers by exporting data to GIS.

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

Java library deployed on Linux and Windows. UI available at stand level via web, or batch system via command line.
Delphi version requires Windows operating system.

Architecture and major DSS components

3 tier architecture ( UI, Models, Data)

Web based UI using JSP, HTML, CSS

Desktop UI in Delphi.

Also desktop batch tool for GIS processing using Java.

Models are implemented in java and delphi. Available as dll.

Some simple web service interfaces developed for integration with other systems.

Basic dataflow is location accesses site climate data, this and other user input data (tree species/management/soil) are then processed by the various models to generate outputs.

Usage

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

Adapted for use in many other countries.

Computational limitations

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

User interface

Web UI

Delphi desktop UI

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. No training courses in recent times but these were run in the past.

Installation

Prerequisite knowledge: Requires web browser. Server installation requires specialised skills and tools. Batch mode requires some configuration on host machine.

Windows steup fairly simple via installer.

References

Cited references

External resources