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EXECUTIVE SUMMARY - UNESCO World Heritage

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Task 4: Investigation of interactions between primeval forest patterns and organisms; Task<br />

description and approach: In compliance with Huston (1979), who predicted the highest<br />

species richness under intermediate perturbations, no significant differences in species<br />

richness between a beech primeval forest and a properly managed beech forest have been<br />

detected (Duelli et al. 2005). However, primeval forests patterns support saprophagous<br />

organisms groups, e. g. millipedes, gastropods, saproxylophagous beetles and xylobiont fungi,<br />

birds nesting in tree cavities and others. They in turn may strongly influence primeval forests<br />

traits, such as the spatial heterogeneity of surface humus and natural regeneration. Therefore,<br />

these and other important interactions, such as those between ungulates and their predators in<br />

relation to natural regeneration dynamics, will be studied. Comparatively less attention will be<br />

paid to biodiversity inventories. Task leader: RAK; Involved partners: ZVO, RAK, BRA<br />

Task 5: Mimicking of primeval forests patterns in close to nature forestry; Task description<br />

and approach: Three teams in this network (GOT, ZVO, LJU) have made independently<br />

significant contributions to the study of primeval forests patterns and their incorporation into<br />

close-to nature silviculture. These teams join forces in this network to evaluate primeval<br />

forests patterns and experiments, as well as to emulate the underlying processes by means of<br />

computer modeling. In that way, new applications and recipes for nature-based management<br />

of forest resources will be developed. That approach will draw on findings from previous<br />

tasks. We envision that ESRs employed in the network are thoroughly exposed to both theorybuilding<br />

and empirical research. Task leader: GOT; Involved partners: ZVO, LJU, GOT,<br />

RAK, BRA<br />

4.2 Research facilities<br />

We have chosen approximately fifty primeval forests of outstanding authenticity and<br />

integrity. The group reflects the variability of climax forests across an area that extends from<br />

Central France to Western Ukraine and from Southern Sweden to the mountainous part of<br />

Central Italy. The group includes primeval forest in the Slovak republic (e. g. Kasivarova,<br />

Dobroc, Havesova,), in Ukraine (e. g. Uholka, Svydovets, Kuzyi-Trybushany) and in Slovenia<br />

(e. g. Strmec) They are composed mainly of sessile oak (Quercus petraea), European beech<br />

(Fagus sylvatica), silver fir (Abies alba) and Norway spruce (Picea excelsa). These species<br />

represent the backbone of the European forestry and some of the best studied tree species in<br />

Europe. The field sites were selected from areas close to the home institutions of the network<br />

partners. In these localities, advanced research methods will be applied. Besides, teams in<br />

Zvolen, Rakhiv, Ljubljana and Göttingen avail of series of experimental plots where close-tonature<br />

forest management methods are applied, which enable comparative studies based on<br />

multiple replications.<br />

4.3 Selected research methods<br />

The research teams have further developed within collaborative research, e. g. by O’Linger et.<br />

al (1997), and successfully applied the following selection of methods: Site capacity<br />

determination: As opposed to usual site descriptions, the field method relies on the<br />

determination of site parameters in absolute terms, e. g. total amount of available nutrients<br />

instead of concentration only. This is achieved by the conversions using for instance the total<br />

volume of forest soil cover. The variables will be measured by advanced technology, such as<br />

electrical resistivity tomography, Time Domain Reflectometry, elemental analyzers and others<br />

owned by several teams (ZVO, DUB). Population genetics of forest tree species: Our<br />

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