Practi-SFM
IN PROGRESS
General System description
System name: Practical Sustainable Forest Management
Acronym: Practi-SFM
Brief overview
The Practi-SFM system is designed to facilitate the practical implementation of SFM in the management of privately owned forests in Ireland ([1]). The system comprises a multi-resource inventory protocol and a MS Excel-based DSS.
Contents
Scope of the system
This tool allows the user to develop a forest management plan based on timber and multi-resource inventories. The system facilitates the user in developing a number of different plans which can be compared over a series of headings, including volume harvested, total clearfell area, fellings adjacent to watercourses, fellings in visually sensitive areas, etc. This tool also facilitates the collection and updating of a series of non-timber data that may be useful in achieving third party forest management certification.
System origin
- This system was developed as a result of a COFORD-funded research project based in University College Dublin, Ireland. The project leader was Prof. Maarten Nieuwenhuis and the project researcher was Dr. Frank Barrett.
- The multi-resource inventory protocol was developed and tested largely based on a diverse privately owned estate in County Wicklow. It was further tested on a number of other forest areas typical of privately owned forests in Ireland.
- The project is now in Phase II of development. It is being field-tested by Irish forest management companies with a view to developing its functionality and streamlining the inventory collection procedures. Phase II will also examine the suitability of Excel as a basis for the DSS and investigate the possibility of introducing optimisation at stand level. This would result in selecting one option per stand based on a utility function which would take into account the weighted objectives of the owner for the forest as a whole and would simplify the planning process.
=== Support for specific issues ===
The Practi-SFM system offers support for the user in selecting the most suitable forest management options, on a per stand basis, that will ensure that the forest as a whole is managed according to the principles of sustainable forest management.
Support for specific thematic areas of a problem type
- Silvicultural
- Certification
- Conservation
- Restoration
- Transportation
- Sustainability impact assessment (SIA)
Capability to support decision making phases
- Intelligence (searching for conditions that call for decisions): the system identifies the stands that are due for harvesting
- Design (inventing, developing, and analysing possible courses of action): the system offers a number of options for the timing and levels of appropriate harvesting operations; also offers users the opportunity to develop a number of different scenarios
- Choice (selecting a course of action from those available): the user manually selects the preferred option based on the objectives for the forest
- Monitor - the system facilitates monitoring over a 10 year period if the inventory is updated at the expiration of the plan
Related systems
The Practi-SFM system is currently not related to any other system.
Data and data models
Typical spatial extent of application
The system is designed to supporting the planning requirements of a privately owned forest holding.
Forest data input
The data input is at stand level. Conventional timber plot data is used (plot area, plot slope, mean height, DBH distribution, etc.) as well as a range of non-timber data relating to stand health, terrain conditions, amenity use, landscape sensitivity and a range of variables used to report on biodiversity (deadwood, invasive species, evidence of wildlife).
Type of information input from user (via GUI)
The input information is as above.
Models
Forest models
The Practi-SFM system uses the following models:
- British Forestry Commission (BFC) Yield Models
- Irish Dynamic (ID) Yield Models
Social models
The system does not use social models but the multi-resource inventory requires input on the historical and cultural values of the site, amenity use, adjacent dwellings and the landscape sensitivity of the site.
Decision Support
Definition of management interventions
The manager can intervene in all forest management decisions - harvesting scheduling, thinning intensity, type of thinning, clearfelling, species selection, underplanting, costs associated with all operations and incomes. Currently, the Practi-SFM system lists all the management options that exist for a stand based on the BFC and ID yield models (user defined operations are also possible) and simulates the growth and output associated with the selected options.
Typical temporal scale of application
The system supports the generation of ten year management plans with operations scheduled over five two year periods.
Types of decisions supported
- Management level
- strategic decisions
- administrative decisions
- operating control decisions
- Planning decisions
- organising decisions
- command decisions
- control decisions
- co-ordination decisions
- Decision making situation
- unilateral
- collegial
- bargaining / participative decision making
Decision-making processes and models
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- Logic modeling
- Operations research modeling
- Direct approaches
- Heuristic manipulation of simulation models
- Business modeling
- Simulation (with and without stochasticity)
- Multiple criteria/ranking
- Other
Output
Types of outputs
The output includes a schedule of operations over the five two year periods with detailed associated costs and incomes. The system also includes a facility to map certain features, for example, harvest areas adjacent to watercourses and harvesting in visually sensitive areas.
Spatial analysis capabilities
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- integrated capabilities
- facilitates links to GIS (wizards, etc.)
- provides standard data import/export formats
- allows spatial analysis (e.g. topology overlays (e.g. multi layering of different maps, selection of objects based on selection criteria, aggregation by attributes (e.g. areas of similar characteristics), Linking by logical means, Statistics by area, analysis with digital terrain model)
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
- Operating Systems: (Windows, Macintosh, Linux/UNIX, Web-based, Others)
- Other software needed (GIS, MIP packages, etc...)
- Development status: used in teaching and under development for potential use by private forest sector in Ireland.
Architecture and major DSS components
The current version of Practi-SFM is written in VBA. Describe the basic architecture of the system in software and hardware. Desktop client-server, web based, as well as the integration with available systems. Basic data flow, focusing on retrieval of required input and propagation and implementations of decisions. Mention its modular and scalability capabilities.
Usage
The system is currently used to support undergraduate learning for forest management and multi-resource inventory development.
Computational limitations
The system is designed to support a ten year management period.
User interface
Familiarity with MS Excel is required to operate the system.
Documentation and support
A user manual for the DSS has been developed to support the user with inputting data and plan generation.
Installation
- Prerequisite knowledge: Level of effort to become functional
- Cost: (purchase price, development costs, demonstrated return on investment, cost of use, training costs, licence and maintenance costs)
- Demo: allows the download/utilization of a trial version. If yes, where is it available and what are the trial conditions.
References
Cited references
- ↑ Barrett, F., Somers, M., and Nieuwenhuis, M. (2007) Practi-SFM - an Operational Multi-Resource Inventory Protocol for Sustainable Forest Management in Sustainable Forestry: from Monitoring and Modelling to Knowledge Management and Policy Science (eds. Reynolds, K., Thomson, A., Kohl, M., Shannon, M., Ray, D. and Rennolls)