TY  - JOUR
A1  - Chapman, ASA
A1  - Beaulieu, SE
A1  - Colaço, A
A1  - Gebruk, AV
A1  - Hilario, A
A1  - Kihara, TC
A1  - Ramirez?Llodra, E
A1  - Sarrazin, J
A1  - Tunnicliffe, V
A1  - Amon, DJ
A1  - Baker, MC
A1  - Boschen?Rose, RE
A1  - Chen, C
A1  - Cooper, IJ
A1  - Copley, JT
A1  - Corbari, L
A1  - Cordes, EE
A1  - Cuvelier, D
A1  - Duperron, S
A1  - Du Preez, C
A1  - Gollner, S
A1  - Horton, T
A1  - Hourdez, S
A1  - Krylova, EM
A1  - Linse, K
A1  - LokaBharathi, PA
A1  - Marsh, L
A1  - Matabos, M
A1  - Mills, SW
A1  - Mullineaux, LS
A1  - Rapp, HT
A1  - Reid, WDK
A1  - Rybakova (Goroslavskaya), E
A1  - A. Thomas, TR
A1  - Southgate, SJ
A1  - Stöhr, S
A1  - Turner, PJ
A1  - Watanabe, HK
A1  - Yasuhara, M
A1  - Bates, AE
Y1  - 2019/11//
PB  - Wiley
IS  - 11
KW  - biodiversity
KW  -  collaboration
KW  -  conservation
KW  -  cross?ecosystem
KW  -  database
KW  -  deep sea
KW  -  functional trait
KW  -  global?scale
KW  -  hydrothermal vent
KW  -  sFDvent
TI  - sFDvent: A global trait database for deep?sea hydrothermal?vent fauna
UR  - https://doi.org/10.1111/geb.12975
SP  - 1538
VL  - 28
N2  - 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.
EP  - 1551
JF  - Global Ecology and Biogeography
AV  - public
ID  - discovery10079917
N1  - © 2019 The Authors Global Ecology and Biogeography Published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/).
ER  -