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sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna
Beaulieu, SE Colaço, A Gebruk, AV Hilario, A KIHARA, TC Ramirez‐Llodra, E Sarrazin, J Tunnicliffe, V
Beaulieu, SE
Colaço, A
Gebruk, AV
Hilario, A
KIHARA, TC
Ramirez‐Llodra, E
Sarrazin, J
Tunnicliffe, V
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2019-07-30
Submitted Date
2020-09-11
Subject Terms
biodiversity
collaboration
conservation
cross‐ecosystem
database
deep sea
functional trait
global‐scale
hydrothermal vent
sFDvent
collaboration
conservation
cross‐ecosystem
database
deep sea
functional trait
global‐scale
hydrothermal vent
sFDvent
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Abstract
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.
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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.
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1466-822X
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1466-8238
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openAccess