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Gewählte Master / Diploma Thesis:

Lea Neuhauser (2020): Environmental and genetic control of leaf traits in an oak provenance trial (Quercus robur).
Master / Diploma Thesis - Institut für Botanik (Botany), BOKU-Universität für Bodenkultur, pp 61. UB BOKU obvsg FullText

Data Source: ZID Abstracts
Abstract:
The present pace of climate change seems rapid compared to present migration rates of trees. This might be a threat to Quercus robur, an economically and ecologically valuable deciduous tree in Central Europe. However, fast adaptation, amongst other processes, allowed for European oaks to cope with climatic warming during past interglacial periods. The aim of this study was to determine, whether there was any significant genetic or environmental variation in stomatal density (SD), vein density (VD), and carbon isotope composition (δ13C) between different provenances of Q. robur. All these leaf traits are closely related to the water status of a plant. To investigate potential genotypic or phenotypic adaptation in water relations to different climates, trees from ten European provenances, planted in a provenance trial at three different sites in Austria were sampled. Significant variations among provenances could mean a possible source for adaptation to climate change. Two-way ANOVAs yielded evidence for a significant site effect in vein density, as well as in carbon isotope composition. Further vein density showed a significant provenance effect and carbon isotope composition a significant interaction effect. Surprisingly, stomatal density did not show any significant differences among provenances or sites. A correlation matrix revealed some relationships between selected leaf and wood traits within Q. robur. δ13C was negatively correlated with specific leaf area (SLA) and positively with leaf dry matter content (LDMC). Leaf nitrogen content was positively correlated with LDMC and diameter at breast height (DBH). The results of this study can help to understand how leaf traits vary with genotypes and environment. This information can be used by forest managers in their selection of reproductive material and in optimizing conservation measures.

Beurteilende(r): Hietz Peter
1.Mitwirkender: Theroux Rancourt Guillaume

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