WOODIV, a database of occurrences, functional traits, and phylogenetic data for all Euro-Mediterranean trees

Gianniantonio Domina, Agathe Leriche, Marcial Escudero, Aggeliki Doxa, Zoltán Barina, Nicolas Casajus, Daniel Pavon, Ilaria Spanu, Anne-Christine Monnet, Kévin Cilleros, Manuel Cartereau, Marwan Cheikh Albassatneh, Stephen Misfud, Estefania Santos Barea, Gianluigi Bacchetta, Vlado Matevski, Bruno Fady, Frédéric Médail, Toni Nikolic, Arne StridArndt Hampe, Francesca Bagnoli, Panayotis Dimopoulos, Giovanni Giuseppe Vendramin, Juan Arroyo, Anne Roig

Research output: Contribution to journalArticlepeer-review


Trees play a key role in the structure and function of many ecosystems worldwide. In the Mediterranean Basin, forests cover approximately 22% of the total land area hosting a large number of endemics (46 species). Despite its particularities and vulnerability, the biodiversity of Mediterranean trees is not well known at the taxonomic, spatial, functional, and genetic levels required for conservation applications. The WOODIV database fills this gap by providing reliable occurrences, four functional traits (plant height, seed mass, wood density, and specific leaf area), and sequences from three DNA-regions (rbcL, matK, and trnH-psbA), together with modelled occurrences and a phylogeny for all 210 Euro-Mediterranean tree species. We compiled, homogenized, and verified occurrence data from sparse datasets and collated them on an INSPIRE-compliant 10 × 10 km grid. We also gathered functional trait and genetic data, filling existing gaps where possible. The WOODIV database can benefit macroecological studies in the fields of conservation, biogeography, and community ecology.
Original languageEnglish
Pages (from-to)1-11
Number of pages11
JournalScientific data
Publication statusPublished - 2021

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences


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