Campanyà-Llovet, Neus; Bates, Amanda E; Cuvelier, Daphne; Giacomello, Eva; Catarino, Diana; Gooday, Andrew J; Berning, Björn; Figuerola, Blanca; Malaquias, Manuel; Moura, Carlos J; Xavier, Joana R; Sutton, Tracey T; Fauconnet, Laurence; Ramalho, Sofia; Neves, Bárbara M; Menezes, Gui M; Horton, Tammy; Gebruk, Andrey V; Minin, K V; Bried, Joël; Molodtsova, Tina; Silva, Mónica A; Dilman, Anna; Kremenetskaia, Antonina; Costa, Eudriano; Clarke, Jameson; Martins, Helen R; Pham, Christopher Kim; Carreiro-Silva, Marina; Colaço, Ana (2023): FUN Azores: A trait database for the marine species of the ridges, seamounts, and hydrothermal vents of the Azores, NE Atlantic [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.955357

Trait-based approaches that complement taxonomic-based studies have increased in popularity among the scientific community over the last decades. The collection of biological and ecological characteristics of species (i.e., traits) provides insight into species and ecosystem vulnerability to environmental and anthropogenic changes, as well as ecosystem functioning. While most of the available trait databases to date contain essential information to understand the functional diversity of a taxonomic group or functional group based on size, the FUN Azores trait database has an ecosystem-based approach that provides a comprehensive assessment of diverse fauna (meio-, macro-, and megafauna) from benthic and pelagic environments in the Azores Marine Park; including ridges, seamounts, and hydrothermal vents. We used a collaborative approach involving 30 researchers with different expertise to develop the trait database; which contains compiled data on 14 traits representing morphological, behavioral, and life history characteristics for 1210 species, across 10 phyla.

Meaning of quality flag codes: 0 - No information available; 1 - Inferred from a related species; 2 - Limited publications (Expert knowledge or published); 3 - Widely accepted (Expert knowledge or published)