MfLOR

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General System description

System name: Montado ecosystem management decision support system

Acronym: MfLOR

Brief overview

MfLOR is a tool that may support both cork and holm oak forest management planning and scenario analysis.

Scope of the system

The tool in its current version provides information to support scenario analysis applied to cork oak forest ecosystems in Southern Portugal.

System origin

The system was developed in 2007/2008 by the Centre of Forest Studies of Instituto Superior of Agonomia (CEF/ISA) of the Technical University of Lisbon in the framework of Project INTERREG IIIA “Desarrollo de un sistema de información para la gestión ambiental y económica del ecosistema dehesa/montado en Extremadura y Alentejo. 2ª Fase” and by Project PTDC/AGR-CFL/64146/2006 “Decision support tools for integrating fire and forest management planning” funded by the Portuguese Science Foundation.

MfLOR is used by the Portuguese Ministry of Agriculture Regional Office of Alentejo (DRAPAL) to support cork and holm oak regional scenario analysis. The cork and holm oak covertypes extend over an area of aproximately 1 million ha.


Support for specific issues

The system was designed so that it might support both management planning and regional analysis. Its current implementation provides information about potential timber, cork and revenues flows as well as about carbon stocks in an area of about 1 million ha in Southern Portugal. The user may specify the time period and may assess tradeoffs between target flows and stocks.

Support for specific thematic areas of a problem type

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

Capability to support decision making phases

  • Intelligence (+ explicit description of the support given by the DSS)
  • Design (+ explicit description of the support given by the DSS)
  • Choice (+ explicit description of the support given by the DSS)
  • Monitor (+ explicit description of the support given by the DSS)

Related systems

Describe (and/or link to) other systems related

Data and data models

Typical spatial extent of application

Define the scale of use for the application (user defined, regional, multi-owner forest single ownership forest, Multiple scale interaction)

Forest data input

Describe the basic forest input (forest level, stand level, or individual tree level), and appropriate meta-data, such as data provenance (Areal coverage, Sample of plots, stands, Contiguous forest cover). GIS information is to be considered here, namely include cover tyes and type of information (raster or vectorial, necessity of topological information) If necessary describe surrogate sources of information

If necessary describe other types of required data (economic, social)

Type of information input from user (via GUI)

Describe what is the information that the user directly inputs in the system if any): expert knowledge, opinion, goals and production objectives, preferences, stand/site information....

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

historical and cultural values of sites, values due to peace and quiet, esthetic values, values due to recreational activities, ethical values): E. g. Recreation, Health, Game


Decision Support

Definition of management interventions

Define what is available for the manager to intervene in the forest: time of harvest, plantations, thinnings, reconversions... Existence of prescription writer, simple enumeration of all possibilities, scenario simulation , etc.

Typical temporal scale of application

Define the temporal scale of the application: E.g., operational and immediate level, Tactical planning (short term) and strategic level.

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
  • Business modeling
  • Simulation (with and without stochasticity)
  • Multiple criteria/ranking
  • Other

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

Government use (Portuguese Ministry of Agriculture Regional Office of Alentejo (DRAPAL))

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

The graphical user interface provides access to the MfLOR users' manual:

Borges, P., S. Marques., M. Marto e J. G. Borges. 2008. O Sistema de Apoio à Decisão em Análise de Cenários em Montados de Sobro e Azinho no Alentejo, MfLOR, Documento Técnico, 01/08, FORCHANGE/LEAF/CEF/ISA, Lisboa, Portugal

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


External resources

Borges, P., S. Marques, J. G. Borges e M. Tomé. 2008. Scenario analysis applied to cork and holm oak forest ecosystems in Southern Portugal, In: Palahi, M., Birot, Y., Bravo, F. and Gorris, E., (Eds) Modelling, valuing and managing Mediterranean Forest ecosystem for non-timber goods and services, EFI Proceedings 57: 49-56.