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The existence of large databases is fundamental to improve ecological and phytogeographical information to build a ‘natural’ syntaxonomic scheme. In different parts of Europe, deciduous forests have already been well studied and their phytosociological meaning interpreted at regional level, nevertheless a broader scale approach is often missing. To define the thermophilic and mesophilic oak deciduous forests of Southern Europe there are several syntaxonomical proposals at higher ranks, that show differences in their ecological significance. Several Authors use the Querco-Fagetea class by which the differences between oak, mixed and beech forests are expressed at the level of order and alliance. Despite the clear link between the Italian and Balkan Peninsula, the Apennines maintain strong links with the forest vegetation of Central Europe, interpretable only within the Querco- Fagetea class. In Italy phytosociological studies focused on deciduous oak forests have a relative recent tradition compared with other countries. In particular there are a great number of local contributions, while there are only few contributions that tackle syntaxonomical issues at a broader, peninsular level. For these reasons the aim of this database is to collect relevés of oak forests belonging to the Quercetalia pubescenti-petraeae and Fagetalia sylvaticae orders to perform numerical analyses and classification. Thermophilous and thermo-mesophilous oak forests are dominated by various species such as Quercus cerris, Q. pubescens, Q. frainetto, Carpinus betulus, Carpinus orientalis, Ostrya carpinifolia, Fraxinus ornus and Acer opalus obtusatum. The present project is based on selected published (and unpublished) relevés recorded according to the Braun-Blanquet approach and stored in a TURBOVEG database. At present 1,600 relevés of oak forests vegetation surveyed in Peninsular Italy are stored in the Deciduous Oak Forests Database of the Italian Peninsula (GIVD ID EU-IT-006). The future goals are to determine whether the variation in species composition follows a geographical pattern, to test the real ecological characteristics of the associations recognised by phytosociological studies and to identify which diagnostic species can be used for different types