sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna
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Authors
Chapman, Abbie
Beaulieu, SE
Colaço, A
Gebruk, AV
Hilario, A
KIHARA, TC
Ramirez‐Llodra, E
Sarrazin, J
Tunnicliffe, V
Amon, Diva

Baker, MC
Boschen‐Rose, RE
Chen, Chong

Cooper, IJ
Copley, JT
CORBARI, L
Cordes, EE
Cuvelier, D
Duperron, S
Du Preez, C
Gollner, S
Horton, T
Hourdez, S
Krylova, EM
Linse, K
LokaBharathi, PA
Marsh, L
Matabos, M
Mills, SW
Mullineaux, LS
Rapp, HT
Reid, William

Rybakova (Goroslavskaya), E
A. Thomas, TR
Southgate, SJ
Stöhr, S
Turner, PJ
Watanabe, HK
Yasuhara, M
Bates, Amanda

Issue date
2019-07-30Submitted date
2020-09-11Subject Terms
biodiversitycollaboration
conservation
cross‐ecosystem
database
deep sea
functional trait
global‐scale
hydrothermal vent
sFDvent
Metadata
Show full item recordAbstract
Motivation: Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite grow‐ ing 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 re‐ pository 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 – sFD‐ vent (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 da‐ tabase, describe our approach, and evaluate its scope. Finally, we compare the sFD‐ vent 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 spe‐ cies‐level identification present or in progress. Software format: .csv and MS Excel (.xlsx).Citation
Chapman, ASA, Beaulieu, SE, Colaço, A, et al. sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna. Global Ecol Biogeogr. 2019; 28: 1538– 1551.Publisher
WileyJournal
Global Ecology and BiogeographyType
Journal ArticleItem Description
This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.NHM Repository
ISSN
1466-822XEISSN
1466-8238ae974a485f413a2113503eed53cd6c53
10.1111/geb.12975
Scopus Count
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