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cc-by (c) Campos, Juan Antonio et al., 2020
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/173345

SIVIM Deciduous Forests - Database of deciduous forests from the Iberian Peninsula

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'SIVIM Deciduous Forests' is a thematic database established in 2015, focused on forest vegetation from the Iberian Peninsula and southern France. It was registered in the Global Index of Vegetation Databases (GIVD ID: EU-00-023) in January 2016. All types of temperate and submediterranean non-riparian deciduous forests of the phytosociological classes Carpino-Fagetea sylvaticae, Quercetea pubescentis and Quercetea robori-petraeae (formerly combined in the class Querco-Fagetea) are represented in the database. Currently, it contains 6,642 published vegetation plots of beech, birch, ash, lime and other deciduous mixed forests, as well as forests dominated by different species of deciduous and marcescent oaks, 100% of them classified at association level. Data are stored in TURBOVEG format, and are available upon request from the international vegetation-plot databases EVA and sPlot in semi-restricted regime. The relevés have also been included in SIVIM database, and thus they are freely available online. However, in SIVIM Deciduous Forests geolocation accuracy has been improved and the taxonomy and syntaxonomy unified. Plot size is available for 73% of the relevés, of which 82% are between 100 and 400 m2. Plant taxonomy is standardized to Flora iberica. During the last four years, data of SIVIM Deciduous Forests were requested via EVA and sPlot for different projects, and have been used for several studies with various objectives, from floristic, vegetation and habitat-related topics to macroecological studies, and from local to global scales.

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CAMPOS, Juan Antonio, MERCADÉ LÓPEZ, Arnau and FONT I CASTELL, Xavier. SIVIM Deciduous Forests - Database of deciduous forests from the Iberian Peninsula. Vegetation Classification and Survey. 2020. Vol. 1, num. 173-174. ISSN 2683-0671. [consulted: 16 of August of 2026]. Available at: https://hdl.handle.net/2445/173345

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