sFDvent: a global trait database for deep-sea hydrothermal-vent fauna
sFDvent: a global trait database for deep-sea hydrothermal-vent fauna
Date
2019-07-30
Authors
Chapman, Abbie S. A.
Beaulieu, Stace E.
Colaço, Ana
Gebruk, Andrey V.
Hilario, Ana
Kihara, Terue C.
Ramirez-Llodra, Eva
Sarrazin, Jozée
Tunnicliffe, Verena
Amon, Diva
Baker, Maria C.
Boschen‐Rose, Rachel E.
Chen, Chong
Cooper, Isabelle J.
Copley, Jonathan T.
Corbari, Laure
Cordes, Erik E.
Cuvelier, Daphne
Duperron, Sébastien
Du Preez, Cherisse
Gollner, Sabine
Horton, Tammy
Hourdez, Stephane
Krylova, Elena M.
Linse, Katrin
LokaBharathi, P. A.
Marsh, Leigh
Matabos, Marjolaine
Mills, Susan W.
Mullineaux, Lauren S.
Rapp, Hans Tore
Reid, William D. K.
Rybakova, Elena Goroslavskaya
Thomas, Tresa Remya A.
Southgate, Samuel James
Stöhr, Sabine
Turner, Phillip J.
Watanabe, Hiromi K.
Yasuhara, Moriaki
Bates, Amanda E.
Beaulieu, Stace E.
Colaço, Ana
Gebruk, Andrey V.
Hilario, Ana
Kihara, Terue C.
Ramirez-Llodra, Eva
Sarrazin, Jozée
Tunnicliffe, Verena
Amon, Diva
Baker, Maria C.
Boschen‐Rose, Rachel E.
Chen, Chong
Cooper, Isabelle J.
Copley, Jonathan T.
Corbari, Laure
Cordes, Erik E.
Cuvelier, Daphne
Duperron, Sébastien
Du Preez, Cherisse
Gollner, Sabine
Horton, Tammy
Hourdez, Stephane
Krylova, Elena M.
Linse, Katrin
LokaBharathi, P. A.
Marsh, Leigh
Matabos, Marjolaine
Mills, Susan W.
Mullineaux, Lauren S.
Rapp, Hans Tore
Reid, William D. K.
Rybakova, Elena Goroslavskaya
Thomas, Tresa Remya A.
Southgate, Samuel James
Stöhr, Sabine
Turner, Phillip J.
Watanabe, Hiromi K.
Yasuhara, Moriaki
Bates, Amanda E.
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Date Created
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DOI
10.1111/geb.12975
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Keywords
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
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).
Description
© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Chapman, A. S. A., Beaulieu, S. E., Colaco, A., Gebruk, A. V., Hilario, A., Kihara, T. C., Ramirez-Llodra, E., Sarrazin, J., Tunnicliffe, V., Amon, D. J., Baker, M. C., Boschen-Rose, R. E., Chen, C., Cooper, I. J., Copley, J. T., Corbari, L., Cordes, E. E., Cuvelier, D., Duperron, S., Du Preez, C., Gollner, S., Horton, T., Hourdez, S., Krylova, E. M., Linse, K., LokaBharathi, P. A., Marsh, L., Matabos, M., Mills, S. W., Mullineaux, L. S., Rapp, H. T., Reid, W. D. K., Rybakova (Goroslavskaya), E., Thomas, T. R. A., Southgate, S. J., Stohr, S., Turner, P. J., Watanabe, H. K., Yasuhara, M., & Bates, A. E. sFDvent: a global trait database for deep-sea hydrothermal-vent fauna. Global Ecology and Biogeography, 28(11), (2019): 1538-1551, doi: 10.1111/geb.12975.
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Citation
Chapman, A. S. A., Beaulieu, S. E., Colaco, A., Gebruk, A. V., Hilario, A., Kihara, T. C., Ramirez-Llodra, E., Sarrazin, J., Tunnicliffe, V., Amon, D. J., Baker, M. C., Boschen-Rose, R. E., Chen, C., Cooper, I. J., Copley, J. T., Corbari, L., Cordes, E. E., Cuvelier, D., Duperron, S., Du Preez, C., Gollner, S., Horton, T., Hourdez, S., Krylova, E. M., Linse, K., LokaBharathi, P. A., Marsh, L., Matabos, M., Mills, S. W., Mullineaux, L. S., Rapp, H. T., Reid, W. D. K., Rybakova (Goroslavskaya), E., Thomas, T. R. A., Southgate, S. J., Stohr, S., Turner, P. J., Watanabe, H. K., Yasuhara, M., & Bates, A. E. (2019). sFDvent: a global trait database for deep-sea hydrothermal-vent fauna. Global Ecology and Biogeography, 28(11), 1538-1551.