engleski

Regulation and management of selection forests in the management unit Belevine

The Belevine management unit which is part of the Educational-testing forestry facility Zalesina of the Forestry Faculty in Zagreb more or less represents the field of selection forests in Croatia and especially those in Gorski kotar which have a long and complex management history. This study gives a brief insight into the development of the relationship towards forests and the methods for regulating selection forests in the framework of the social, historic and economic changes as well as changes in ownership, on the example of the Belevine management unit. Three different periods with specific characteristics have been chosen. The period ending with 1870 was characterised by random forest felling. For 70 years after this period forests were managed on the German model. The most significant period are the last 50 years when the Forestry Faculty has been continually managing the Belevine forest, implementing the set goals and management guidelines. Furthermore, results are shown of recording the existing state of the selection stands and the whole forest in the framework of preparing a new management plan (state of the growing stock and increment, state of the natural regeneration and the relation towards the normal selection constitution). Special emphasis has been placed on the permanency of continued natural regeneration (recruitment of trees to the stand) which is the basis for a permanent and stable selective structure. On the basis of measured factors of existing state and given management guidelines, the future behaviour of the structural elements of selection stands and forests was shown in a SD simulation model. The future management plan, with regard to management up to date and the state of the forests, and the changes in the natural process, in the framework of significantly changed forest requirements, the regulated management procedures should be completely subordinate to sustaining a stable and natural forest with maximum potential for yielding general and other benefits.

selection forest; regulating methods; recruitment; SD simulation model; guidelines for future management

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