20.500.12556/DiRROS-16379 Modelling dominant tree heights of Fagus sylvatica L. using function-on-scalar regression based on forest inventory data European beech (Fagus sylvatica L.) is an important tree species throughout Europe but shifts in its suitable habitats are expected in the future due to climate change. Finding provenances that are still economically viable and ecologically resilient is an ongoing field of research. We modelled the dominant tree heights of European beech as a trait reflecting growth performance dependent on provenance, climate and soil conditions. We derived dominant tree heights from national forest inventory (NFI) data from six European countries spanning over large ecological gradients. We performed function-on-scalar regression using hierarchical generalized additive models (HGAM) to model both the global effects shared among all provenances and the effects specific to a particular provenance. By comparing predictions for a reference period of 1981–2010 and 2071–2100 in a RCP 8.5 scenario, we showed that changes in growth performance can be expected in the future. Dominant tree heights decreased in Southern and Central Europe but increased in Northern Europe by more than 10 m. Changes in growth performance were always accompanied by a change in beech provenances, assuming assisted migration without dispersal limitations. Our results support the concept of assisted migration for the building of resilient future forests and emphasize the use of genetic data for future growth predictions. hierarchical GAMs functional regression Fagus sylvatica provenance assisted migration funkcionalna regresija Fagus sylvatica provinenca true false true Angleški jezik Slovenski jezik Neznano 2023-03-21 14:13:07 2023-03-21 14:13:10 2023-03-22 03:35:13 0000-00-00 00:00:00 2023 0 0 Nasl. z nasl. zaslona; Opis vira z dne 21. 3. 2023; 16 str. iss. 2 [article. no. 304] Vol. 14 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2023-01-01 630* 1999-4907 10.3390/f14020304 145998083 https://www.mdpi.com/1999-4907/14/2/304 1 c07c429e-c7e1-11ed-b359-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=21971 RAZ_Engel_Markus_2023.pdf RAZ_Engel_Markus_2023.pdf 1 77932D959431B7EE541EF91A628677C1 1af0eb88bb174258b0ab66f11a1bcd0c79cbf136ce74f4e9b73c27970db6bc5a d32e0d6f-c7e1-11ed-b359-001a4af901a5 https://dirros.openscience.si/Dokument.php?lang=slv&id=21972 Gozdarski inštitut Slovenije 0 0 0