Sim4Tree.Software

From COST Action FP0804: FORSYS
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Software

Has responsible organisation KU Leuven
Has institutional framework proprietary development (forest administration)
Has DSS contact person Wim Aertsen
Has DSS contact e-mail wim.aertsen[a]ees.kuleuven.beURIs of the form "wim.aertsen[a]ees.kuleuven.be" are not allowed.
Has status under development
Has accessibility N/A
Is commercial product No
Has price
Has deployment cost N/A
Has installation requirements
Has computational limitations
Has user support organization
Has support team size
Has maintenance organization
Has input data requirements Forest inventory data, Forest ownership data
Has input data format database
Has data validation
Has output data format table, graph, map
Has internal data management database
Has database PostgreSQL
Has GIS integration
Has data mining
Has spatial analysis
Has user access control Yes
Has parameterised GUI No
Has GUI usability feature
Has map interface
Has GUI technology
Has system type
Has application architecture
Has communication architecture
Uses operating system
Uses programming language
Is scalable No
Supports interoperability
Supports integration with other systems


1 Introduction

Bosland is a 4241ha publicly owned forest area in north-eastern Flanders, situated on sandy soils. Main tree species are Scots pine (Pinus sylvestris L.) and Corsican pine (Pinus nigra Arnold ssp laricio var corsicana), together accounting for 80% of the forest area and 94% of the standing stock in 2010. Current management plans aim at ad hoc conversion of pine towards other species, but lack insight into the effects on future wood provision in the area.

2 Aim

Develop a long-term view on species composition and wood production in Bosland, based on objective comparison of management alternatives in a participatory setting.

3 Scenario analysis with Sim4Tree

Sim4Tree is a software for the projection of timber harvest and future standing stock based on forest inventory data and user-defined management choices. Site, forest composition and management are defined for homogeneous 1ha pixels, but grouping of pixels in stands or larger areas with uniform management is possible. Predictions are based on standard yield tables for the region. Sim4Tree is not fully operational yet and only available as a prototype. It was applied here to 3189ha productive forest in Bosland, i.e. excluding forest area with nature conservation goals.

A total of 36 management scenarios were defined, combining multiple options on (1) species choice based on site suitability, (2) relative distribution over main and other species and (3) timing of conversion relative to species rotation. Sim4Tree output for each scenario included species-specific projections until 2070 for standing stock, harvest, diameter distribution, share of old trees, constant timber flow, and other derived variables.