Influence of heterogeneous light conditions on regeneration dynamics in the silver fir - Norway spruce forest at Dnolučka Planina, BiH [Bosnia and Herzegovina]
2010
Krstić, M., University of Belgrade, Belgrade (Serbia). Faculty of Forestry | Govedar, Z., University of Banja Luka, Banja Luka (Bosnia and Herzegovina). Faculty of Forestry | Keren, S., Forest Management Jajce, Jajce (Bosnia and Herzegovina) | Bjelanović, I., University of Belgrade, Belgrade (Serbia). Faculty of Forestry | Oljača, R., University of Banja Luka, Banja Luka (Bosnia and Herzegovina). Faculty of Forestry
This article presents results of the research relating to the influence of light regime on seedling regeneration in the mixed silver fir - Norway spruce forest at Dnolucka planina, Bosnia and Herzegovina. For the purpose of assessing the influence of heterogeneous light environments on density and ADR (apical dominance ratio) of fir and spruce seedlings, our study was conducted in experimental canopy gaps ranging from 50 square meter to 300 square meter in size. Microsite suitability for seedling establishment under dense crown canopy was assessed as well as the survival ability of seedlings up to 2 m in height. The results suggest that ADR for both species changes with gap site, that is, with different levels of shading. Seedling density was correlated with gap size and canopy structure. It was determined that very small gaps have on average about 12.9% light transmission and provide fourfold higher density of fir seedlings in relation to spruce; in small gaps ranging from 50 square meter to 150 square meter in size, light transmission reaches 19.5% and these microsites provide slihtly higher density of fir seedlings than that of spruce; on other hand, middle-sized gaps ranging from 150 square meter to 300 square meter in size, transmit about 34.1% of full light and enable threefold higher density of spruce seedlings compared to silver fir. The results obtained from the field have applicable character in forestry business practice since drawn models representing statistical dependence of seedling density and ADR on forest canopy and light regime provide specific ecological implications.
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