FOREST PLANNING SOFTWARE DEVELOPMENT IN NORWAY



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FOREST PLANNING SOFTWARE DEVELOPMENT IN NORWAY Terje Gobakken & Tron Eid Helsinki, 09. March 2006 Department of Ecology and Natural Resource Management

INTRODUCTION = New pilot project = SGIS biological models economic calculations simulation, optimization and GIS features Case

PILOT PROJECT ORGANIZATION = Aim : Develop a research and end use strategy for new generations of decision support systems for forest management planning in Norway = External partners and founders: Prevista and Norskog = Time schedule: year 2006, 4 labour months = Cooperation Finland and Sweden = Seminar (June): Researchers and users = Expected output: Report: state of art and future research priorities Application to the Research Council

SGIS IS A TOOL FOR: 1. Simulation of forest development 2. Optimization of forest treatments in a GIS user interface!

BACKGROUND = This version of SGIS is based on a prototype developed in PC ArcInfo (Næsset 1997). = This version of SGIS is based on ArcView version 8 (9) and is programmed in Visual Basic for Applications. = SGIS consist of a functionality specially made for forest related problems and standard ArcView GIS functionality = SGIS is mainly used for teaching and research at the university. However, SGIS is being commercialized at the moment.

3 PARTS: GAYA stand simulator J mathematical programming tool GAYA and J is hidden behind SGIS windows GIS applikasjon (ArcView)

GAYA A simulation tool to describe silvicultural regimes! Forest treatments models = Developed by prof. Eriksson at the Swedish University of Agricultural Sciences in 1983 = Translated to Norwegian conditions by Hoen & Eid (1988 90) = Since 1990 further upgraded and developed. (Ex.: C in wood products and forest soil) Calculations and book keeping for up to 20 periods of 5 or 10 years

SUB MODELS IN GAYA = Simulations are based on: 1. «mean tree» (d ba + h L ), and 2. number of stems (N ha 1 ) = Important functions: mean diameter growth (Blingsmo, 1984), height development (Tveite 1976,1977; Braastad, 1977), natural mortality (Eid & Øyen 2003) tree volume (Braastad 1966, Brantseg 1967 og Vestjordet 1967) timber prices (Blingsmo & Veidahl, 1992) harvesting and forwarding costs (Anon., 1994)

GAYA: ASSUMPTIONS: = General: Interest rate Timber prices Harvest and cutting costs = Stand level: Wood quality Additional harvest and cutting costs Forwarding distance

GAYA: TREATMENT SCHEDULES = Example: stand i is 30 year. The stand can not be cut before the stand is 50 year. 0 5 15 25 35 45 55 65 75 85 95 Year

J SOFTWARE = A commercial software package for general linear programming (LP) package for solving forest management planning and conventional LP problems. = Developed by Dr. Juha Lappi at the Finnish Forest Research Institute (METLA), Finland, in 2003 2004

LP = Objectives: Maximizations of net present value! Maximizations of standing volume! = Restrictions/constraints: Non declining harvest Non declining income Standing volume Old growth forest Dead wood Broadleaves The whole forest or smaller parts Protected area

What is SGIS? = SGIS is an interface between a Geographical Information System and the long term forest management planning model, GAYA J. = From the SGIS graphical user interface a complete vector GIS is available, and in addition biological simulations and optimizations with GAYA J may be done. = Forecasted states for the next 100 years can be presented as tabular reports, figures or thematic maps.

Case study = Data from the forest at the Norwegian University of Life Sciences at Ås.

NORWEGIAN UNIVERSITY OF LIFE SCIENCES

Menu: GAYA J

Menu: GAYA J

Hent optimeringsresultat!!!!

NORWEGIAN UNIVERSITY OF LIFE SCIENCES

ECONOMICAL RESULTS

Example of some previous studies with GAYA J/SGIS = Næsset, E. 1997. A spatial decision support system for longterm forest management planning by means of linear programming and a geographical information system. Scand. J. For. Res. 12 (1):77 88. = Næsset, E., Gobakken, T. & Hoen, H.F. 1997. Economic analysis of timber management practices promoting preservation of biological diversity. Scand. J. For. Res. 12 (3):264 272. = Eid, T., Hoen, H.F. & Økseter, P. 2001. Timber production possibilities of Norwegian forest area and measures for a sustainable forestry. Forest Policy and Economics. In press.