Toggle Main Menu Toggle Search

Open Access padlockePrints

sFDvent: a global trait database for deep-sea hydrothermal-vent fauna

Lookup NU author(s): Dr William ReidORCiD



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Motivation 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: i) capture the performance of vent species and their influence on ecosystem processes, and ii) 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 typify 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 646 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 five years. Major taxa and level of measurement Deep-sea hydrothermal-vent fauna with species-level identification present or in progress.

Publication metadata

Author(s): Chapman A, Beaulieu S, Colaco A, Gebruk A, Hilario A, Kihara T, Ramirez-Llodra E, Sarrazin J, Tunnicliffe V, Amon D, Baker M, Boschen-Rose R, Chen C, Cooper I, Copley J, Corbari L, Cordes E, Cuvelier D, Duperron S, DuPreez C, Gollner S, Horton T, Hourdez S, Krylova E, Linse K, LokaBharathi PA, Marsh L, Matabos M, Mills S, Mullineaux L, Rapp HT, Reid WDK, Rybakova E, Thomas T, Southgate S, Stohr S, Turner P, Watanabe H, Yasuhara M, Bates A

Publication type: Article

Publication status: Published

Journal: Global Ecology and Biogeography

Year: 2019

Volume: 28

Pages: 1538-1551

Print publication date: 15/10/2019

Online publication date: 30/07/2019

Acceptance date: 04/05/2019

Date deposited: 23/07/2019

ISSN (print): 1466-822X

ISSN (electronic): 1466-8238

Publisher: Wiley-Blackwell Publishing Ltd.


DOI: 10.1111/geb.12975


Altmetrics provided by Altmetric


Funder referenceFunder name
Canada Research Chairs
HKU 17306014
HKU 17311316
Institut Francais de Recherche pour l'Exploitation de la Mar
KG Jebsen Centre for Deep Sea Research
Postdoctoral Fellowship
University of Southampton
The Joint Initiative Awards Fund