FMPP

From COST Action FP0804: FORSYS
Revision as of 20:05, 23 October 2011 by Ola Eriksson (Talk | contribs)

Jump to: navigation, search

Template:DSS description, Identification Template:DSS description, FORSYS problem types classification Template:DSS description, Utilisation scope Template:DSS description, Functional description Template:DSS description, Models and techniques to support decision making Template:DSS description, Support for knowledge management processes Template:DSS description, Support for participatory planning Template:DSS description, Development process Template:DSS description, IT environment & IT requirements Template:DSS description, Commercial information

General System description

System name: Forest Management Planning Package

Acronym: FMPP

Brief overview

The Forest Management Planning Package it is an existing calculation system used in practical forestry in Sweden. It focuses on the economically effective resource management of forest timber.

Scope of the system

The FMPP integrates economic theory, objective inventory measurements, accurate growth forecasts and optimization methods. The core of the system is a chain of models depicting the production possibilities of a forest holding.

A non-linear objective function and mathematical optimization result in a compromise between maximization of economics benefits (Net Present Value) and a sustainable development (sustained net-revenue profile).

System origin

  • The FMPP development started in the early 1970s.
  • The FMPP was first developed and tested in the forest research holding Remingstorp, and then by Faculty of Forestry of the Swedish University of Agricultural Sciences. There also has been a fruitful cooperation with the HUGIN-project.
  • The FMPP has been used for analysis of a large number of forest holdings in Sweden. A total of more than 2.5 million hectares has been analysed between 1983 and 1992.

Support for specific issues

Economic evaluation of the timber resources, adjusting to some forest sustainable management constraints such as a sustained revenue.

Support for specific thematic areas of a problem type

  • Silvicultural
  • Conservation

Related systems


Data and data models

Typical spatial extent of application

Package was developed for the purpose to allow forest companies to do projections their own forest holdings, but it is not well suited for areas of small-scale forestry[1].

Forest data input

The FMPP uses forest inventory data such as site quality, age, diameter, number of stems per ha, and species composition. This data can be provided by:

  • the Swedish National Forest Survey,
  • long-term experimental trials for estimating effects of treatments such as thinning and fertilizing,
  • the sample tree material, collected in connection with the FMPP inventory for estimating tree quality and bark volume,
  • the HUGIN-survey for estimating regeneration results and plant growth.


Models

Forest models

Forest growth prediction models are used. Also, economic evaluation through the NPV is made.


Decision Support

Definition of management interventions

The FMPP determines where (in which stand), when (at which age) and which silvicutural management treatments (harvestings, thinnings, regeneration...) have to be made.

Typical temporal scale of application

It can be used for operational and strategic planning, although it fits better to strategic planning requirements, since it has been developed toward this goal.

Decision-making processes and models

The FMPP uses to get the optimum solution linear programming, through the JLP package.


Output

Types of outputs

The results are stored in the form of yield tables.


References

Cited references

  1. ANDERSSON, M., B. DAHLIN et M. MOSSBERG (2005): The Forest Time Machine — a multi-purpose forest management decision-support system. Computers and Electronics in Agriculture, 49, 114–128.

External resources

  • JONSSON, B., J. JACOBSSON et H. KALLUR (1993): The Forest Management Planning Package. Theory and application. ‘’Studia Forestalia Suecica’’ 189. 56 pp.