Kelet-Közép-Európa természetes erdeifenyő populációinak morfoanatómiai és molekuláris vizsgálata szélsőséges környezeti feltételek között, a populációk adaptációs potenciáljának feltárása céljából.

Magyar Agrár- és Élettudományi Egyetem

Agrár- és Élelmiszertudományok Doktori Iskola

Höhn Mária

Ladányi Márta

növénytermesztési és kertészeti tudományok

Ongoing climate change strongly affects natural forest ecosystems. Long-lived tree species are key indicators of how ecosystems respond to rapid climate change. Scots pine is one of the most widespread forest-forming trees, thriving in many habitat types across the Eurasian taiga and extending toward its southern range edge, where populations encounter unfavourable and often extreme ecological conditions. To assess the species’ adaptive potential Scots pine trees growing in different habitat types were collected for morpho-anatomical and molecular analyses. Given that Scots pine grows in a wide range of ecological conditions and on substrates with varying pH values, it can be considered an excellent model species for such studies. Tree-ring structure, combined with molecular investigations, will provide valuable insights into the adaptive potential of this model tree species. Moreover, investigated traits like tree ring characteristics unravel also events of the historical past. PhD candidate will conduct multiple research projects focusing on tree ring analysis using advanced statistical models and machine learning algorithms as well as molecular study on Scots pine samples collected from natural habitats of East-Central Europe. The study has relevant and current scientific priorities in ecology, forestry, and climate-change biology.

1 fő

MATE

2025-12-15