FMPP
Contents
- 1 Wiki quality control
- 2 Name, responsible organisation and contact person
- 3 Software identification
- 4 Description
- 5 Concrete application
- 6 Decision support techniques used in the DSS
- 7 Support of Knowledge Management
- 8 Support of social participation
- 9 DSS development
- 10 Documentation
- 11 Free text description
- 11.1 System origin
- 11.2 Support for specific issues
- 11.3 Support for specific thematic areas of a problem type
- 11.4 Typical spatial extent of application
- 11.5 Forest data input
- 11.6 Models
- 11.7 Definition of management interventions
- 11.8 Typical temporal scale of application
- 11.9 Decision-making processes and models
- 11.10 Output
Wiki quality control
Has flag | N/A |
---|
Name, responsible organisation and contact person
Has full name | Forest Management Planning Package |
---|---|
Has acronym | FMPP |
Has wiki contact person | Ola Eriksson |
Has wiki contact e-mail | ola.eriksson@slu.se |
Software identification
Has software | FMPP.Software |
---|
Description
Has description | he Forest Management Planning Package it is an existing planning system used in practical forestry in Sweden. It focuses on the economically effective resource management of forest timber. The FMPP integrates economic theory, objective inventory measurements, growth forecasts and optimization methods. It is essentially aimed at long term (strategic) planning of larger forest holdings. The planning problem can be formulated and solved in two ways. (1) 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). (2) A linear programming package, JLP, is utilized to maximize Net Present Value under some preselected restrictions. |
---|---|
Has modelling scope | Economical indicators, Forest indicators |
Has temporal scale | Long term (strategic) |
Has spatial context | Non spatial |
Has spatial scale | Forest level |
Has objectives dimension | Single objective |
Has related DSS | |
Has goods and services dimension | Market wood products |
Has decision making dimension | Single decision maker |
Has forest management goal | afforestation management, economic evaluation, forest inventory, silvicultural regime, wood supply planning |
Supports tree species | Norway spruce; Scots pine; Birch; Oak; Beech; Other deciduos |
Supports silvicultural regime | even-aged |
Concrete application
Has typical use case | 200,000 ha; 150-300 strata |
---|---|
Has user profile | |
Has country | Sweden |
Has references about examples of application | |
Has number of users | <=30 |
Has number of real-life applications | <=100 |
Has utilisation in education | no |
Has research project reference | (see free text) |
Has tool dissemination | Consultant mediated |
Decision support techniques used in the DSS
Has decision support techniques | FMPP.Decision support techniques |
---|
Support of Knowledge Management
Has knowledge management processes | FMPP.Knowledge management process |
---|
Support of social participation
Has support for social participation | FMPP.Support of social participation |
---|
DSS development
Has DSS development | FMPP.Description of DSS development |
---|
Documentation
Has website | http://www.srh.slu.se/default.cfm |
---|---|
Has online demo | |
Has manual | No |
Has technical documentation | No |
Has reference | JONSSON, B., J. JACOBSSON et H. KALLUR (1993): The Forest Management Planning Package. Theory and application. ‘’Studia Forestalia Suecica’’ 189. 56 pp. |
Free text description
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
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.
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 growth prediction models are used. Also, economic evaluation through the NPV is made.
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
The results are stored in the form of yield tables.