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Summary
Pedunculate oak forests in Croatia are characterized with an irregular age-class distribution (larg share of mature stands), pedunculate oak dieback and decreasing stand structure quality, as well as large sized stands and they spatial heterogenity (density of pedunculate oak). Future management and development of the forest depend on actual age-class structure, intensity and spatial-temporal dynamics of forest regeneration. Thereby, spatial dividing of an appropriate size areas (new stands) and defining priority of their regeneration over future periods, which should be based on an objective criteria (e.g. potential rent difference as a consequence of the decision of regeneration (prompt or adjournment) of a potentially mature pedunculate oak stands), is key question. Based on developed computer program application, paper aim is to research effects of two opposite approaches of regeneration priority stand ranking and different intensities of forest regeneration on: stands growth, development of age-class structure and spatial forest structure, as well as possible trends in amounts and values of future revenues.
Object of the research is real even-aged forest (management class of pedunculate oak) in Opeke management unit. Area of the forest is 429.5 ha divided into 26 stands of average area of 16.5 ha. Youngest stand is 107 years old and the oldest is 185 years. There is large deviation between actual and theoretical age-class distribution of the forest (table 1).
Projection of management and spatial-temporal development of the even-aged pedunculate oak forest over future fourteen 10-year periods (rotation) is performed by computer program SIMPLAG (Teslak i dr., 2012). Within "theoretical" intensity of regeneration (30 ha in 10-year regeneration area, 2–6 ha stand regeneration size, 250 m minimal distance between regenerated stands), and intensive regeneration (50 ha in 10-year regeneration area, 3–13 ha stand regeneration size, 250 m minimal distance between regenerated stands), there were two approaches of regeneration priority stand ranking:
– stand regeneration ranking according to lowest potential rent difference (poor structure stand has highest regeneration priority – NSR);