20.500.12556/RUL-184826 Pan-European maps and models of current and future tree species distributions and their growth potential Amid increasing temperatures and extended drought periods, forest managers require comprehensive information regarding the suitability of various tree species under changing climatic conditions. To address this need, we assembled a unique dataset spanning Europe, incorporating multiple data sources such as national forest inventories, forest management plans, and data from ICP Forests. Our database ultimately included over six million individual trees across 860,000 forest plots throughout Europe. Using this extensive dataset, we developed Species Distribution Models (SDM) for 30 and Site Index Models (SIM) for 25 European tree species, the latter limited by data availability. Both model types were used to generate predictions at a spatial resolution of 1 × 1 km for the periods 2011–2040, 2041–2070, and 2071–2100 under climate change scenarios RCP2.6, RCP4.5 and RCP8.5. The model predictions aim to estimate the top height and assess climate suitability across Europe under future climate conditions. One potential application of these models is in a decision support system (DSS) to inform tree species selection and management strategies in the context of climate change. Provided are the models, prediction outputs, and supporting information, as the underlying database is restricted by data use agreements. site index model species distribution model top height climate suitability climate change Europe reforestation tree species selection modeliran rastiščni indeks model napovedovanja drevesnih vrst zgornja višina ustreznost klime klimatske spremembe Evropa zaraščanje izbira drevesnih vrst true false false Angleški jezik Slovenski jezik Članek v reviji 2026-07-15 14:43:52 2026-07-15 14:44:00 2026-07-17 03:51:49 0000-00-00 00:00:00 2026 0 0 15 str. art. 113027 Vol. 67 Aug. 2026 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 581.9:630*17:551.58(4) 2352-3409 10.1016/j.dib.2026.113027 284704515 RAZ_Wohlbrandt_Anna_2026.pdf RAZ_Wohlbrandt_Anna_2026.pdf 1 05AF76341D3754B8DE3CA02A9CA2775B b9329a5a5358b0e7c27105bde9ef3caae01f5e413fe1cdb5aae68cbf66f75607 fdf12620-804d-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=240130 https://www.sciencedirect.com/science/article/pii/S2352340926005718 1 ad94e757-804a-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=240127 Biotehniška fakulteta 0 0 0