Difference between revisions of "LEaRNForME"
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== Scope of the system == | == Scope of the system == | ||
| + | [[Image: Schema_approccio_eng.gif|thumb|400px|The schema of MISFORM]] | ||
A procedure has been conceived and implemented in order to support the forester in classifying each homogeneous land unit for: | A procedure has been conceived and implemented in order to support the forester in classifying each homogeneous land unit for: | ||
* predisposition to instability phenomena (termed "propensity") such as shallow landslides, water erosion and runoff generation; | * predisposition to instability phenomena (termed "propensity") such as shallow landslides, water erosion and runoff generation; | ||
* vegetation cover functionality in contrasting these events. | * vegetation cover functionality in contrasting these events. | ||
| − | + | ||
Both aspects have to be described and modelled by means of distinctive sets of variables; neural network analysis is then applied to a comprehensive set of study cases. The resulting evaluations of predisposition and functionality are combined into four different indexes with descriptive and planning significance: | Both aspects have to be described and modelled by means of distinctive sets of variables; neural network analysis is then applied to a comprehensive set of study cases. The resulting evaluations of predisposition and functionality are combined into four different indexes with descriptive and planning significance: | ||
* equilibrium level, a rough estimation of the balance between tendency and cover protection; | * equilibrium level, a rough estimation of the balance between tendency and cover protection; | ||
Revision as of 12:01, 20 November 2009
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 Typical spatial extent of application
- 10 Forest data input
- 11 Type of information input from user (via GUI)
- 12 Forest models
- 13 Social models
- 14 Definition of management interventions
- 15 Typical temporal scale of application
- 16 Types of decisions supported
- 17 Decision-making processes and models
- 18 Types of outputs
- 19 Spatial analysis capabilities
- 20 Abilities to address interdisciplinary, multi-scaled, and political issues
- 21 System requirements
- 22 Architecture and major DSS components
- 23 Usage
- 24 Computational limitations
- 25 User interface
- 26 Documentation and support
- 27 Installation
- 28 Cited references
- 29 External resources
General System description
System name: Modelli di valutazione della funzionalità protettiva del bosco per la pianificazione forestale: frane, erosione, regimazione idrica (Models and Indexes for Sustainable Forest Management: Landslides, Erosion, Runoff)
Acronym: MISFORM/LER
Brief overview
MISFORM/LER is an instrument for the land planning able to recognise the role of the vegetation cover in controlling some hydro geological instability phenomena. This evaluation will give the opportunity to introduce environmental issues into forest planning.
Scope of the system
A procedure has been conceived and implemented in order to support the forester in classifying each homogeneous land unit for:
- predisposition to instability phenomena (termed "propensity") such as shallow landslides, water erosion and runoff generation;
- vegetation cover functionality in contrasting these events.
Both aspects have to be described and modelled by means of distinctive sets of variables; neural network analysis is then applied to a comprehensive set of study cases. The resulting evaluations of predisposition and functionality are combined into four different indexes with descriptive and planning significance:
- equilibrium level, a rough estimation of the balance between tendency and cover protection;
- protection value, assessment of the ability of the vegetation in controlling land degradation;
- constraint level, grade of limitation with respect to timber-oriented management compatible with the assessed protection value;
- action priority, preliminary screening of land units requiring ameliorative practices.
At present only the models devoted to the protection from shallow landslides and soil water erosion are operating; analogous procedure for runoff generation is in progress.
System origin
MISFORM was developed during 2001-2007 in the Riselvitalia project by the Forest Monitoring and Assessment Unit (Trento) (http://mpf.entecra.it/) of Italian Council for Research in Agriculture (http://sito.entecra.it/portale/index2.php).
Support for specific issues
MISFORM assists the forestry on site where shallow landslide, water erosion and runoff generation are instability phenomena.
Support for specific thematic areas of a problem type
- Forest planning.
- Territorial planning.
- Protection.
- Prevention.
Capability to support decision making phases
- Intelligence: the system use a fully automatic, congruent, progressive and recordable procedure.
- Design: forest planner input data to evaluate propensity and protective functionality of forest.
- Choice: results give operational and descriptive indexes for sustainable management.
- Monitor: implemented for test areas.
Related systems
- Progettobosco (http://www.progettobosco.it/)
Data and data models
Typical spatial extent of application
The typical spatial extent of application is the forest management plan. There isn’t a base spatial unit for the output, it’s depend on what extension data input refer. But the minimum reasonable unit is the forest plot. Definitely we can say that the typical spatial extent of application is the single property scale.
Forest data input
The forest data input are about vegetation cover and forest management disturbances.
Type of information input from user (via GUI)
The user provides basic input data about the site conditions (lithology, aspect, slope, vegetation cover, erodibility, land use, practices, disturbances, etc.). In the shallow landslides model, the users input data to evaluate propensity to instability phenomena concerning: lithology, strata bedding, aspect, slope, climatic aggressiveness, drained area and seismicity. To evaluate vegetation cover protective functionality, the user input data about category of vegetation types, vegetation types, dominating vegetation cover, cover gaps, secondary vegetation cover, forest management disturbances, other disturbances, forest engineering practices, forest engineering practices. In the soil water erosion model the user input data to evaluate the propensity to instability phenomena concerning erodibility, climatic aggressiveness, heat load index, topographic factor. To evaluate vegetation cover protective functionality, the user input data concerning land use categories, land use, dominating vegetational cover, bushes cover, grasses cover, dead materials cover, agro-forest management disturbances, practices, slope.
Models
The system use Artificial Neural Network (ANN) models.
Forest models
Social models
Decision Support
Definition of management interventions
The intersection of the vegetation functionality and land propensity to an instability phenomenon through complex mathematical functions gives four useful indices for soil conservation purposes. The user has to interpret this following indices.
- equilibrium level: this index provides a rough estimation of the balance between land tendency to the analysed geomorphologic phenomenon and cover protection. The “balanced” situation corresponds to conditions of almost equivalent levels of Propensity and Functionality; in these cases one can suppose that the protective action of the vegetation cover is adequate to face the onset of the degradation phenomena under examination. When the warrant provided by the vegetation increases the situation may be classified as “quiet”. On the opposite, the increase of Propensity generates a more or less unbalanced situation which may be defined as “uncertain” or “worrying” according to the algebraic difference between the two indexes;
- protection value: it assesses the ability of the vegetation in controlling land degradation. The protection value is classified into three classes (“high”, “fair” and “negligible”) according to a set of sigmoid functions;
- constraint level: this index expresses the degree of limitation with respect to timber-oriented management in relation to the assessed protection value. The classes of constraint are three: “none or negligible”, allowing the adoption of even very intensive cultural systems; “intermediate”, in which only cutting and harvesting techniques that assure the integrity of root apparatus and soil should be allowed; “maximum”, where only cares devoted to the enhancement of the protective functionality of the vegetation cover should be permitted (woodlands destined primarily to the environmental protection);
- action priority: this index assumes some planning importance by representing a preliminary screening of land units requiring ameliorative practices both for increasing the vegetation cover and for runoff control. The conceptual approach is addressed to prevent the degradation phenomena rather then to reclaim compromised situations. The model provides three classes of “action priority” (“high”, “intermediate” and “negligible”).
Typical temporal scale of application
Planning and operational level.
Types of decisions supported
- Management and sylvicoltural actions.
- Strategic decisions.
- Operating control decisions.
Decision-making processes and models
Processi di presa di decisioni e modelli per la presa di decisioni
Output
Types of outputs
The outputs of MISFORM Web system are data (four indices). The outputs of MISFORM in local system are data in tables and maps.
Spatial analysis capabilities
MISFORM in local system integrates spatial analysis capabilities using GIS.
Abilities to address interdisciplinary, multi-scaled, and political issues
MISFORM can be used in the field of territorial protection to address political decision.
System
System requirements
- Operating Systems: Microsoft Windows OS
- Other software needed: in local system MISFORM implements software such as ArcView 3.x, and MS Access otherwise the user must have Internet access.
Statistica Neural Networks Release 7????
- Development status: concluded
Architecture and major DSS components
MISFORM is desktop client-server system, web based. MISFORM is a modular system.
Usage
Research use, planning use.
Computational limitations
Describe the system limitations: e.g. number of management units, number of vehicles, time horizon
User interface
The user has to fill the field in the tables for the instability phenomena that he choice: in some case he has to select between the proposed values in the pull down menu. It’s not necessary specific prerequisite knowledge for using the system.
Documentation and support
Information about MISFORM can be found at the MISFORM website.
Installation
Not need the installation.
References
Cited references
External resources
Every documentation about MISFORM and research processes can find in the http://www.isafa.it/scientifica/assestamento/riselvitalia43/documenti_eng.htm
