Difference between revisions of "ProgettoBosco"
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=== Forest models === | === Forest models === | ||
Growth, Yield, Carbon, Wood quality, biodiversity and habitat suitability, environmental and external effects (fire, storms, pests, diseases, climate change, etc) | Growth, Yield, Carbon, Wood quality, biodiversity and habitat suitability, environmental and external effects (fire, storms, pests, diseases, climate change, etc) | ||
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=== Social models === | === Social models === | ||
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=== Definition of management interventions === | === Definition of management interventions === | ||
| − | + | The manager defines to intervene in the forest: time of harvest, plantations, thinnings, reconversions... | |
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=== Typical temporal scale of application === | === Typical temporal scale of application === | ||
| − | + | Silvicultural measures taken at stand level are typically defined for a planning period of 10 years. | |
=== Types of decisions supported === | === Types of decisions supported === | ||
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=== Decision-making processes and models === | === Decision-making processes and models === | ||
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| + | Within ProgettoBosco the data are processed by “trial and error”. By this, the user can test several management scenarios and then choose the one which looks to be the best. | ||
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| + | The decision making process is an iterative process. First, the user analyses the necessary input to make a decision then building and interpretation of the simulation outputs is left up to the user. After making the decision, the user analyses its feasibility by comparing it to the present situation and to his targets. The decisions taken are recorded . | ||
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== Output == | == Output == | ||
Revision as of 15:21, 13 September 2010
Contents
- 1 General System description
- 2 Brief overview
- 3 Scope of the system
- 4 System origin
- 5 Support for specific issues
- 6 Support for specific thematic areas of a problem type
- 7 Capability to support decision making phases
- 8 Related systems
- 9 Data and data models
- 10 Models
- 11 Decision Support
- 12 Output
- 13 System
- 14 References
General System description
System name: ProgettoBosco Assestamento
Acronym: PB Assestamento
Brief overview
ProgettoBosco is a Data-Driven Decision Support Systems, aimed at optimising the data collection on forest and forest management of Italy. With ProgettoBosco a unique, participated and shared information system effective for all forest typologies existing in Italy was accomplished
Scope of the system
Italian forests are characterized by a wide heterogeneity range of planning systems and rules, which are rather unfeasible to be compared in time and space under a unique perspective, often also within the same administrative Region. Within this context and according to Data-Driven Decision Support Systems definition (Power 2008) “ProgettoBosco” aims at optimising the collection of all data concerning with Italian forests and forest management, by implementing a nationally standardized method and tool for monitoring and supporting forest planning and forest policy choices from a local to a national scale. This means: i) to attain the comparison in time and space of all the collected information; ii) to facilitate data reading also at higher scales; iii) to make much easier the control of forest plans; iv) to standardise on field training education of experts by improving their competences; v) to facilitate the control on the application of the plan’s disposals and rules; vi) to easily keep update forest management plan database.
For this reason, for ProgettoBosco was a priority: - the definition of a minimum and common information level for describing forest areas under a unique technical and management perspective; - the implementation of an information system in order to facilitate the comparison in space and time of basic forest management data; - to provide public administrators and policy makers with a fast and efficient tool to cope with regional, national or international rules (e.g. EU-financing, agreements on biodiversity, sustainability, carbon stock).
System origin
ProgettoBosco is a freeware developed by CRA - Agricultural Research Council (Italy).
The project started up in late-eighties from the experience driven with Emilia Romagna and Umbria Regions where a first forest planning information system was implemented and tested at a local scale. Later on, thanks to the funds of the Italian Agricultural and Forestry Department of the Government Policy Ministry through the national research project named Ri.Selv.Italia, (2001-2007), an homogeneous forest planning system and a management method at national level was implemented. By Ri.Selv.Italia Project, ProgettoBosco has been further implemented and consists nowadays of 8 Regions adopting these experimental management plans, plus 7 more participating so as to make methods and tools compatible with their territorial and administrative peculiarity. Thus, the project involved more than 150 scientists and experts (among researchers, forest managers, technicians belonging to Regional Forest Services), joined in an interdisciplinary team consisting of forest scientists, agronomists, economists, architects, landscape-fauna and phyto-sociology experts, engineers.
Specific tests were set-up to adapt ProgettoBosco's methods and tools to university and professional formation.
At the moment, ProgettoBosco is used as a research tool, in teaching, as well as for practical forest planning purposes.
Support for specific issues
ProgettoBosco supports technicians to produce forest management plans. ProgettoBosco provides a large number of control variables (manipulation possibilities) divided into two main groups of data: one related to management and environmental features of forest compartment and the other one to specific bioecological management information referred to the forest stand (forest stand, tree plantations, shrubs and pasture.
Support for specific thematic areas of a problem type
- Forest planning
- Silvicultural
- Certification
- Conservation
- Development choices / land use zoning
- Policy/intervention alternatives
Capability to support decision making phases
Related systems
Data and data models
Typical spatial extent of application
User defined (from single ownership forest to regional level)
Forest data input
Location, site, and stand data (such as lithology, aspect, slope, disturbances, land use, vegetation types, dominating vegetation cover, cover gaps, secondary vegetation cover, agro-forest management disturbances, forest practices, forest engineering practices, bushes cover, grasses cover, dead materials cover, dendrometric data). GIS information: stand polygons (vectorial with topological information)
Volume tables are required; in ProgettoBosco are already avalaible 547 national and local volume tables
Type of information input from user (via GUI)
All the forest data are provided by users filling predefined forms
Models
Forest models
Growth, Yield, Carbon, Wood quality, biodiversity and habitat suitability, environmental and external effects (fire, storms, pests, diseases, climate change, etc)
Social models
Decision Support
Definition of management interventions
The manager defines to intervene in the forest: time of harvest, plantations, thinnings, reconversions...
Typical temporal scale of application
Silvicultural measures taken at stand level are typically defined for a planning period of 10 years.
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
Within ProgettoBosco the data are processed by “trial and error”. By this, the user can test several management scenarios and then choose the one which looks to be the best.
The decision making process is an iterative process. First, the user analyses the necessary input to make a decision then building and interpretation of the simulation outputs is left up to the user. After making the decision, the user analyses its feasibility by comparing it to the present situation and to his targets. The decisions taken are recorded .
Output
Types of outputs
Types of outputs produced (tables, maps, 3-D visualizations, pre-programmed summaries, etc)
Spatial analysis capabilities
- 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
Architecture and major DSS components
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
Describe the level of use: Research level use, Industry use, Government use
Computational limitations
Describe the system limitations: e.g. number of management units, number of vehicles, time horizon
User interface
Describe the quality of user interface and the Prerequisite knowledge for using the system
Documentation and support
Describe the connection to Help-system and possibilities for assistance, as well as the required training and user support levels
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
Power, D. J. 2008. Understanding Data-Driven Decision Support Systems. Information Systems Management 25 (2): 149 – 154
