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author 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
author_facet 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
collection Datos científicos de ciencias marinas y ambientales
contents 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.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_955357
institution PANGAEA
language en
publishDate 2023
publisher PANGAEA
record_format pangaea
spellingShingle FUN Azores: A trait database for the marine species of the ridges, seamounts, and hydrothermal vents of the Azores, NE Atlantic
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
Azores; Azores_FUNTraits_2023; FunAzores; functional diversity; Functional traits and ecological processes in the Azores Marine Park : Understanding the biodiversity-ecosystem functioning; hydrothermal deep sea vent; Literature search; Literature survey; Marine Protected Area (MPA); Seamount; trait-based ecology; trait diversity; trait ecology
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.
title FUN Azores: A trait database for the marine species of the ridges, seamounts, and hydrothermal vents of the Azores, NE Atlantic
topic Azores; Azores_FUNTraits_2023; FunAzores; functional diversity; Functional traits and ecological processes in the Azores Marine Park : Understanding the biodiversity-ecosystem functioning; hydrothermal deep sea vent; Literature search; Literature survey; Marine Protected Area (MPA); Seamount; trait-based ecology; trait diversity; trait ecology
url https://doi.org/10.1594/PANGAEA.955357