2021
DOI: 10.1038/s41597-021-00873-3
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WOODIV, a database of occurrences, functional traits, and phylogenetic data for all Euro-Mediterranean trees

Abstract: 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 (plan… Show more

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Cited by 12 publications
(15 citation statements)
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“…By comparing the location of future climatic refugia with the existing biodiversity patterns of Mediterranean tree species, we showed that climatic refugia are located in areas of high species richness. Euro‐Mediterranean forests host 245 native tree species and subspecies, and a high number of endemic species (Médail et al, 2019; Monnet et al, 2021). Climatic refugia were also mainly identified in biogeographical provinces with the highest endemic species richness.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…By comparing the location of future climatic refugia with the existing biodiversity patterns of Mediterranean tree species, we showed that climatic refugia are located in areas of high species richness. Euro‐Mediterranean forests host 245 native tree species and subspecies, and a high number of endemic species (Médail et al, 2019; Monnet et al, 2021). Climatic refugia were also mainly identified in biogeographical provinces with the highest endemic species richness.…”
Section: Discussionmentioning
confidence: 99%
“…To tive and endemic tree species in the Mediterranean biome, as a structural component of Mediterranean biodiversity (Médail et al, 2019;Monnet et al, 2021). We estimated the species distributions inside and outside the identified climatic refugia.…”
Section: Spatial Patterns Of Climatic Refugiamentioning
confidence: 99%
“…Par exemple, Veron et al (2019) ont utilisé la base e-monocot 17 pour aider à l'exclusion des occurrences non natives des espèces dans leurs analyses. De même, Monnet et al (2021) ont écarté des occurrences douteuses d'arbres méditerranéens en confrontant les données à l'inventaire d'espèces le plus récent mené à l'échelle des pays et de leurs îles (Médail et al 2019).…”
Section: Figure 183 Des Données Téléchargées Aux Données Préparées Pour L'analyse : 1) Vérification De L'adéquation Des Données Avec La Qunclassified
“…
Les données sont souvent mises à disposition via des portails d'accès aux données comme le GBIF (Global Biodiversity Information Facility) (figure 18.1), par des consortiums de spécialistes des différents groupes taxonomiques (par exemple VertNet 1 pour les vertébrés), ou par la publication de data papers des articles permettant de décrire et publier des données d'une étude ou d'une collection naturaliste (Monnet et al 2021). L'utilisateur peut alors exporter directement les données depuis les plates-formes de consultation et de téléchargement mises à 1 www.vertnet.org.
…”
unclassified
“…Despite major improvements in the consolidation and accessibility of trait data, there is not yet a single-source centralised database spanning behaviour, physiology, habitat, and other trait data for a wide range of species. Existing databases are often linked by taxonomy ( e.g., FishBase (Froese & Pauly, 2010), CoralTraits (Madin et al, 2016), MammalBase (Lintulaakso, 2013), AmphiBio (Oliveira, São-Pedro, Santos-Barrera, Penone, & Costa, 2017)); trait type ( e.g., TreeOfSex (The Tree of Sex Consortium 2014), TreeBase (Boettiger & Temple Lang, 2012), Xylum Functional Traits (Borghetti, Gentilesca, Colangelo, Ripullone, & Rita, 2020)); data type ( e.g., GBIF (https://www.gbif.org/), MOL (Jetz, Thomas, Joy, Hartmann, & Mooers, 2012), TetraDensity (Santini, Isaac, & Ficetola, 2018)); or a combination of the taxonomies and traits (WooDiv (Monnet et al, 2021), CarniDiet (Middleton, Svensson, Scharlemann, Faurby, & Sandom, 2021)). A number of other databases take a more general approach in their thematic scope, but are still constrained to a limited set of traits and taxonomy ( e.g., Amniote (Myhrvold et al, 2015), Pantheria (Jones et al, 2009), BIEN (Enquist, Condit, Peet, Schildhauer, & Thiers, 2016; Maitner et al, 2018), TRY (Kattge et al, 2020)).…”
Section: Introductionmentioning
confidence: 99%