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

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

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: (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).
1466-822X
1538-1551
Chapman, Abbie
5e63f909-bd6c-4bdd-a9e3-f81af0978a42
Beaulieu, Stace E.
cf86aab3-7eae-43c3-aca0-cfe9ef2ce7c5
Colaço, Ana
624450ca-8296-48b0-806a-05c210cd165e
Gebruk, Andrey V.
186856d2-fcda-4b40-905b-a03dc8b88623
Hilario, Ana
ba55873b-030e-49c0-9c53-b76fb234fa18
Kihara, Terue
3741492e-dd0b-45be-b248-9fbb13561f58
Ramirez-Llodra, Eva
2a1cf383-ce51-4b53-8105-b8cdd83a26ee
Sarrazin, Jozée
ef38f067-1b60-441d-9151-926c54e274ed
Tunnicliffe, V.
c4d12c54-d113-4329-8997-79b7fce1a446
Amon, Diva
bcd41379-a74d-422a-be67-1c2ad974fef0
Baker, Maria
8f846767-b3d5-4e48-b22f-3ead26a56f6d
Copley, Jon
5f30e2a6-76c1-4150-9a42-dcfb8f5788ef
et al.
Chapman, Abbie
5e63f909-bd6c-4bdd-a9e3-f81af0978a42
Beaulieu, Stace E.
cf86aab3-7eae-43c3-aca0-cfe9ef2ce7c5
Colaço, Ana
624450ca-8296-48b0-806a-05c210cd165e
Gebruk, Andrey V.
186856d2-fcda-4b40-905b-a03dc8b88623
Hilario, Ana
ba55873b-030e-49c0-9c53-b76fb234fa18
Kihara, Terue
3741492e-dd0b-45be-b248-9fbb13561f58
Ramirez-Llodra, Eva
2a1cf383-ce51-4b53-8105-b8cdd83a26ee
Sarrazin, Jozée
ef38f067-1b60-441d-9151-926c54e274ed
Tunnicliffe, V.
c4d12c54-d113-4329-8997-79b7fce1a446
Amon, Diva
bcd41379-a74d-422a-be67-1c2ad974fef0
Baker, Maria
8f846767-b3d5-4e48-b22f-3ead26a56f6d
Copley, Jon
5f30e2a6-76c1-4150-9a42-dcfb8f5788ef

Chapman, Abbie and Copley, Jon , et al. (2019) sFDvent: a global trait database for deep-sea hydrothermal vent fauna. Global Ecology and Biogeography, 28 (11), 1538-1551. (doi:10.1111/geb.12975).

Record type: Article

Abstract


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: (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).

Text
Chapman_et_al-2019-Global_Ecology_and_Biogeography - Version of Record
Available under License Creative Commons Attribution.
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More information

Accepted/In Press date: 24 May 2019
e-pub ahead of print date: 30 July 2019
Published date: November 2019

Identifiers

Local EPrints ID: 435216
URI: http://eprints.soton.ac.uk/id/eprint/435216
ISSN: 1466-822X
PURE UUID: c22c795e-0a30-4306-b53f-c3c01179fa46
ORCID for Abbie Chapman: ORCID iD orcid.org/0000-0002-7812-2046
ORCID for Maria Baker: ORCID iD orcid.org/0000-0001-6977-8935
ORCID for Jon Copley: ORCID iD orcid.org/0000-0003-3333-4325

Catalogue record

Date deposited: 25 Oct 2019 16:30
Last modified: 18 Feb 2021 16:47

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