FUN Azores: A trait database for the marine species of the ridges, seamounts, and hydrothermal vents of the Azores, NE Atlantic

doi:doi:10.1594/PANGAEA.955357

FUN Azores: A trait database for the marine species of the ridges, seamounts, and hydrothermal vents of the Azores, NE Atlantic

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.

BibTex:

@dataset{Campanyà-Llovet_Neus_and_Bates_Amanda_E_and_Cuvelier_Daphne_and_Giacomello_Eva_and_Catarino_Diana_and_Gooday_Andrew_J_and_Berning_Björn_and_Figuerola_Blanca_and_Malaquias_Manuel_and_Moura_Carlos_J_and_Xavier_Joana_R_and_Sutton_Tracey_T_and_Fauconnet_Laurence_and_Ramalho_Sofia_and_Neves_Bárbara_M_and_Menezes_Gui_M_and_Horton_Tammy_and_Gebruk_Andrey_V_and_Minin_K_V_and_Bried_Joël_and_Molodtsova_Tina_and_Silva_Mónica_A_and_Dilman_Anna_and_Kremenetskaia_Antonina_and_Costa_Eudriano_and_Clarke_Jameson_and_Martins_Helen_R_and_Pham_Christopher_Kim_and_Carreiro-Silva_Marina_and_Colaço_Ana_2023,
    abstract = {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.},
    author = {Campanyà-Llovet, Neus and Bates, Amanda E and Cuvelier, Daphne and Giacomello, Eva and Catarino, Diana and Gooday, Andrew J and Berning, Björn and Figuerola, Blanca and Malaquias, Manuel and Moura, Carlos J and Xavier, Joana R and Sutton, Tracey T and Fauconnet, Laurence and Ramalho, Sofia and Neves, Bárbara M and Menezes, Gui M and Horton, Tammy and Gebruk, Andrey V and Minin, K V and Bried, Joël and Molodtsova, Tina and Silva, Mónica A and Dilman, Anna and Kremenetskaia, Antonina and Costa, Eudriano and Clarke, Jameson and Martins, Helen R and Pham, Christopher Kim and Carreiro-Silva, Marina and Colaço, Ana},
    doi = {10.1594/PANGAEA.955357},
    institution = {PANGAEA (Ecology)},
    keyword = {'Literature survey', 'Marine Protected Area MPA', 'Seamount', 'based ecology', 'functional diversity', 'hydrothermal deep sea vent', 'trait', 'trait diversity', 'trait ecology'},
    title = {FUN Azores: A trait database for the marine species of the ridges, seamounts, and hydrothermal vents of the Azores, NE Atlantic},
    url = {https://service.tib.eu/ldmservice/vdataset/png-doi-10-1594-pangaea-955357},
    year = {2023}
}