Document of bibliographic reference 317539

BibliographicReference record

Type
Bibliographic resource
Type of document
Journal article
BibLvlCode
AS
Title
sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna
Abstract
Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite growing interest in a trait‐based approach to the biodiversity of the deep sea, where the impacts of human activities (including seabed mining) accelerate, there is no single repository for species traits for deep‐sea chemosynthesis‐based ecosystems, including hydrothermal vents. Using an international, collaborative approach, we have compiled the first global‐scale trait database for deep‐sea hydrothermal‐vent fauna – sFDvent (sDiv‐funded trait database for the Functional Diversity of vents). We formed a funded working group to select traits appropriate to: (a) capture the performance of vent species and their influence on ecosystem processes, and (b) compare trait‐based diversity in different ecosystems. Forty contributors, representing expertise across most known hydrothermal‐vent systems and taxa, scored species traits using online collaborative tools and shared workspaces. Here, we characterise the sFDvent database, describe our approach, and evaluate its scope. Finally, we compare the sFDvent database to similar databases from shallow‐marine and terrestrial ecosystems to highlight how the sFDvent database can inform cross‐ecosystem comparisons. We also make the sFDvent database publicly available online by assigning a persistent, unique DOI. Main types of variable contained: Six hundred and forty‐six vent species names, associated location information (33 regions), and scores for 13 traits (in categories: community structure, generalist/specialist, geographic distribution, habitat use, life history, mobility, species associations, symbiont, and trophic structure). Contributor IDs, certainty scores, and references are also provided. Spatial location and grain: Global coverage (grain size: ocean basin), spanning eight ocean basins, including vents on 12 mid‐ocean ridges and 6 back‐arc spreading centres. Time period and grain: sFDvent includes information on deep‐sea vent species, and associated taxonomic updates, since they were first discovered in 1977. Time is not recorded. The database will be updated every 5 years. Major taxa and level of measurement: Deep‐sea hydrothermal‐vent fauna with species‐ level identification present or in progress. Software format: .csv and MS Excel (.xlsx).
WebOfScience code
https://www.webofscience.com/wos/woscc/full-record/WOS:000495767600001
Bibliographic citation
Chapman, Abbie S. A.; Beaulieu, Stace E.; Colaço, Ana; Gebruk, Andrey V.; Hilario, Ana; Kihara, Terue C.; Ramirez‐Llodra, Eva; Sarrazin, Jozée; Tunnicliffe, Verena; Amon, Diva J.; Baker, Maria C.; Boschen‐Rose, Rachel E.; Chen, Chong; Cooper, Isabelle J.; Copley, Jonathan T.; Corbari, Laure; Cordes, Erik E.; Cuvelier, Daphne; Duperron, Sébastien; Du Preez, Cherisse; Gollner, Sabine; Horton, Tammy; Hourdez, Stéphane; Krylova, Elena M.; Linse, Katrin; LokaBharathi, P. A.; Marsh, Leigh; Matabos, Marjolaine; Mills, Susan Wier; Mullineaux, Lauren S.; Rapp, Hans Tore; Reid, William D. K.; Rybakova (Goroslavskaya), Elena; A. Thomas, Tresa Remya; Southgate, Samuel James; Stöhr, Sabine; Turner, Phillip J.; Watanabe, Hiromi Kayama; Yasuhara, Moriaki; Bates, Amanda E. (2019). sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna. Glob. Ecol. Biogeogr. 28(11): 1538-1551. https://dx.doi.org/10.1111/geb.12975
Is peer reviewed
true
Access rights
open access
Is accessible for free
true

Authors

author
Name
Daphne Cuvelier
Identifier
https://orcid.org/0000-0003-4042-8215
Affiliation
University of Lisbon; Faculty of Sciences; Marine and Environmental Sciences Centre
author
Name
Sabine Gollner
Affiliation
Koninklijk Nederlands Instituut voor Onderzoek der Zee; Ocean Sciences

Links

referenced creativework
type
Additional info
accessURL
https://doi.org/10.5061/dryad.cn2rv96
referenced creativework
type
DOI
accessURL
https://dx.doi.org/10.1111/geb.12975

Document metadata

date created
2019-10-28
date modified
2019-11-28