sFDvent: A global trait database for deep‐sea hydrothermal‐vent fauna

Autor: Chapman, Abbie S. A., Beaulieu, Stace E., Colaço, Ana, Gebruk, Andrey V., Hilario, Ana, Kihara, Terue C., Ramirez‐llodra, Eva, Sarrazin, Jozee, Tunnicliffe, Verena, Amon, Diva J., Baker, Maria C., Boschen‐rose, Rachel E., Chen, Chong, Cooper, Isabelle J., Copley, Jonathan T., Corbari, Laure, Cordes, Erik E., Cuvelier, Daphne, Duperron, Sebastien, Du Preez, Cherisse, Gollner, Sabine, Horton, Tammy, Hourdez, Stéphane, Krylova, Elena M., Linse, Katrin, Lokabharathi, P. A., Marsh, Leigh, Matabos, Marjolaine, Mills, Susan Wier, Mullineaux, Lauren S., Rapp, Hans Tore, Reid, William D. K., Rybakova (goroslavskaya), Elena, A. Thomas, Tresa Remya, Southgate, Samuel James, Stöhr, Sabine, Turner, Phillip J., Watanabe, Hiromi Kayama, Yasuhara, Moriaki, Bates, Amanda E., Padolfi, John

Publikováno v: Global Ecology and Biogeography
Global Ecology and Biogeography, Wiley, 2019, 28, pp.1538-1551. ⟨10.1111/geb.12975⟩
Global Ecology And Biogeography (1466-822X) (Wiley), 2019-11, Vol. 28, N. 11, P. 1538-1551

MotivationTraits 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, whe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf1c1cc5d6d865bc29ab478a6631717f
https://hal.sorbonne-universite.fr/hal-03348717/file/geb.12975.pdf