EcoNSilva connects forestry research with the practical needs of forest owners and managers. The project evaluates how different management approaches translate into costs, revenues, harvest potential and the long-term economic efficiency of forest management.
Full project overviewWe build our results on data from three demonstration sites and their comparison with traditional management methods.
The main output is a transparent methodology for economic evaluation, usable by forest owners and managers alike.
The project is being developed in cooperation with partners from academia and industry — from research through to wood processing.
At each site we track the effects of close-to-nature forest management under different site conditions.
A demonstration site of the Forests of the Czech Republic in the 4th forest vegetation zone, with mixed stands of spruce, pine, larch and fir.
View site detailsA site of the Křtiny Training Forest Enterprise focused on converting stands to selection forest management in a mix of fir, spruce and beech.
View site detailsThe Kinský Žďár site on acidic, water-influenced habitats of the 6th forest vegetation zone.
View site detailsFour steps that take the research from a review of the data to a methodology usable in practice.
Domestic and international findings on close-to-nature forest management and its economic modelling.
Evaluation of data on management measures carried out at the demonstration sites.
Economic analysis of the sites across short-term, medium-term and long-term horizons.
A transparent evaluation methodology usable by forest owners and managers in decision-making.
Verified news from research, conferences and published project outputs.
An upcoming expert event will present the project, the demonstration sites and the methodological approach.
Operational, economic and inventory data is being evaluated at the three sites.
Work on the project's main output is progressing according to the 2026–2028 timeline.
Get in touch — we are happy to discuss the details of the project, the data from the demonstration sites and possible cooperation.