Natural and financial indicators for the consultation of private and communal forest owners

Natural and financial indicators for the consultation of private and communal forest owners


The basic idea is the processing of natural and financial data for typical forest stands and selected forest treatment alternatives after previous simulation calculations. Thereby, the question initially was limited to the depiction of the alternatives “thinning” or “without thinning”.

This prototype can be complemented with additional indicators; other areas and forest treatment strategies and therefore more data should be added and furthermore more risk integration has to be done

The sorted single tree data then were condensed to coefficients via MS Access queries. The coefficients contain information about the arising amounts of wood of the simulated treatments or rather the timber stock of the remaining stands – sorted into sorts of wood and simulation period. After feeding the data to the consultation support system, a connection to current prices for timber and timber harvesting costs was established. Based on the data from the second National Forest Inventory, the stratification of the area of the Bavarian “Tertiäres Hügelland” and the compilation of simulation stocks was carried out. Using the forest growth simulator Silva 2.2, the simulation stocks were updated once without treatment and once updated according to a thinning scheme. In the next step, the results of the simulation runs (single tree data for the remaining and the outgoing stock) were sorted according to regional sorting criteria using the sorting program BDat 2.0.

Region of origin
Type of wood
Origin of wood
Mobilization Potential
Area affected is small but information about advantages of thinnings regarding risks can contribute on a wider level (estimated more than 1 m3/ha)
Kind of wood concerned
Sustainability Potential
Impact on environment & biodiversity

Positive on biodiversity and forest resilience enhancement

Ease of implementation
Difficult as an expert tool
Economic impact
An active learning of different silvicultural approaches for forest owners can be achieved. But cost effects are hardly to describe.
Job effect
Better qualified staff through verification and discussion possibilities
Income effect
Positive / more efficient working processes / cost reduction possibility identification
Specific knowledge needed
The system is depending on complex program Silva 2.2 – forest experts of TUM have to be included
Key prerequisites

Just In cooperation with TUM possible

Forest management, ecosystem, resilience
Type of solution
Modelling, simulation, optimization
Digital solution
Country of origin
Region of origin
Scale of application
Start and end year
2009 - 2009
Contact data
Owner or author
References and Resources
Project under which this factsheet has been created