Community Research and Development Information Service - CORDIS

Forest planning and management tools

Growth models and site conditions.
Two types of models have been derived, based on tree level and on stand level.
Conventional properties of growth models (growth and yield estimation depending on site, plantation density, silvicultural treatments, etc) are incorporated, delivering reliable results. New and innovative aspects include:
impact of genetic effects on models,
effects of tree and stand characteristics on diameter at different tree heights,
distribution of radial increments along the stem and development of the crown base,
analysis and consideration of market demand before setting up assortment tables and combination with economical evaluation,
effects of changing site conditions and simulation of management alternatives.

Artificial pruning.
Results show clearly that green pruning, moderately and carefully performed, may improve wood quality significantly without increased risks for increment decrease or fungus attacks.

Wood density.
The research of the 3 teams involved has been focused on wood density, but with specific aspects. Wood density has been investigated in terms of:
the intra ring and intra tree distribution depending on site, genetics, and silviculture,
the correlation with ring width and silvicultural treatment and the impact on veneer quality,
the variation in relation to ring width, juvenile and mature wood.

Genetic effects.
Results of investigations on Norway spruce and Douglas fir revealed that tree's wood density is not only influenced by growth rates depending on silviculture, weather, and site, but also by genotype.

Nutrient storage.
With the results gained in this task it is possible to calculate the mean annual immobilisation of nutrients in the wood and in the bank of these stands. The knowledge about the relations between nutrient exports and harvest intensities may be integrated into growth and yield models as restrictions guaranteeing sustainable forest management.

Informatics.
Many results from the other tasks have been brought together in this task. The software developed is flexible enough to incorporate at least partly the results of the task Growth Model. It has been successfully tried to incorporate the various growth-, branchiness-, and wood quality relationships gained from the other tasks in a simulation software and to connect its outputs and interfaces with a log quality simulator. Inputs of this software are: site index, initial spacing and thinnings. It is presently limited to even aged and pure Norway spruce stands and delivers information for 3 social tree classes (dominant, co-dominant and suppressed trees).

Planning.
The purpose of this tasks was twofold.
It provides a decision-making tool for long-term forest planning in even aged stands of Norway spruce by optimising silvicultural management (planting density, thinning strategies, rotation period, etc) under consideration of risks (windfall, snowbreak) and different growing conditions and by estimating the economic outcome.
This enables choice of eg optimal rotation time and appropriate thinning strategy under given ecologic and economic conditions and to select alternative strategies based on sensitivity analysis.
This subtask delivers a valuable complement for task 1 (Growth Modelling) and 8 (Informatics) by enlarging aspects of silviculture and wood properties from the economic point of view.

To complement the yield and assortment derived in task 1 (Growth Models) for Scots pine by economic evaluations. The results provide a scale for the economic value of Scots pine stands in terms of gross production value and constitute the necessary base for further economic analyses and management of Scots pine stands.

Contact

Georg KENK, (Head of the branch)
Tel.: +49-761-4018249
Fax: +49-761-4018333
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