UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna

Chapman, ASA; Beaulieu, SE; Colaço, A; Gebruk, AV; Hilario, A; Kihara, TC; Ramirez‐Llodra, E; ... Bates, AE; + view all (2019) sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna. Global Ecology and Biogeography , 28 (11) pp. 1538-1551. 10.1111/geb.12975. Green open access

[thumbnail of Chapman_sFDvent. A global trait database for deep‐sea hydrothermal‐vent fauna_VoR.pdf]
Preview
Text
Chapman_sFDvent. A global trait database for deep‐sea hydrothermal‐vent fauna_VoR.pdf

Download (642kB) | Preview

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.

Type: Article
Title: sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/geb.12975
Publisher version: https://doi.org/10.1111/geb.12975
Language: English
Additional information: © 2019 The Authors Global Ecology and Biogeography Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
Keywords: biodiversity, collaboration, conservation, cross‐ecosystem, database, deep sea, functional trait, global‐scale, hydrothermal vent, sFDvent
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10079917
Downloads since deposit
Loading...
37Downloads
Download activity - last month
Loading...
Download activity - last 12 months
Loading...
Downloads by country - last 12 months
Loading...

Archive Staff Only

View Item View Item