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dc.contributor.authorChapman, Abbie
dc.contributor.authorBeaulieu, Stace
dc.contributor.authorColaço, Ana
dc.contributor.authorGebruk, Andrey
dc.contributor.authorHilário, Ana
dc.contributor.authorKihara, Terue C.
dc.contributor.authorRamirez-Llodra, Eva
dc.contributor.authorSarrazin, Jozee
dc.contributor.authorTunnicliffe, Verena J.
dc.contributor.authorAmon, Diva J.
dc.contributor.authorBaker, Maria
dc.contributor.authorBoschen-Rose, Rachel
dc.contributor.authorChen, Chong
dc.contributor.authorCooper, Isabelle
dc.contributor.authorCopley, Jonathan
dc.contributor.authorCorbari, Laure
dc.contributor.authorCordes, Erik
dc.contributor.authorCuvelier, Daphne
dc.contributor.authorDuperron, Sebastien
dc.contributor.authorDu Preez, Cherisse
dc.contributor.authorGollner, Sabine
dc.contributor.authorHorton, Tammy
dc.contributor.authorHourdez, Stephane
dc.contributor.authorKryolova, Elena
dc.contributor.authorLinse, Kathrin
dc.contributor.authorLokaBharati, P.A.
dc.contributor.authorMarsh, Leigh
dc.contributor.authorMatabos, Marjolaine
dc.contributor.authorWier Mills, Susan
dc.contributor.authorMullineaux, Lauren
dc.contributor.authorRapp, Hans Tore
dc.contributor.authorReid, William David Kenneth
dc.contributor.authorRybakova, Elena
dc.contributor.authorThomas, Tresa Remya
dc.contributor.authorSouthgate, Samuel James
dc.contributor.authorStöhr, Sabine
dc.contributor.authorTurner, Philip J
dc.contributor.authorWatanabe, Hiromi Kayama
dc.contributor.authorYasuhara, Moriaki
dc.contributor.authorBates, Amanda E.
dc.date.accessioned2020-07-01T13:48:24Z
dc.date.available2020-07-01T13:48:24Z
dc.date.issued2019
dc.PublishedChapman, Beaulieu, Colaço, Gebruk A, Hilário A, Kihara TC, Ramirez-Llodra E, Sarrazin, Tunnicliffe VJ, Amon DJ, Baker M, Boschen-Rose, Chen C, Cooper, Copley, Corbari L, Cordes, Cuvelier, Duperron S, Du Preez, Gollner, Horton T, Hourdez S, Kryolova, Linse, LokaBharati, Marsh, Matabos, Wier Mills, Mullineaux, Rapp HT, Reid, Rybakova, Thomas, Southgate, Stöhr S, Turner, Watanabe, Yasuhara M, Bates AE. sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna. Global Ecology and Biogeography. 2019;28(11):1538-1551eng
dc.identifier.issn1466-8238en_US
dc.identifier.issn1466-822Xen_US
dc.identifier.urihttps://hdl.handle.net/1956/23183
dc.description.abstractMotivation: 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 (s Div‐funded trait database for the F unctional D iversity of vent s). 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).en_US
dc.language.isoengeng
dc.publisherWileyen_US
dc.rightsAttribution CC BYeng
dc.titlesFDvent: A global trait database for deep‐sea hydrothermal‐vent faunaen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2020-01-06T08:44:25Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019 The Author(s)en_US
dc.identifier.doihttps://doi.org/10.1111/geb.12975
dc.identifier.cristin1766530
dc.source.journalGlobal Ecology and Biogeography


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