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| Ramirez-llodra, Eva; Tyler, Paul A.; Baker, Maria C.; Bergstad, Odd Aksel; Clark, Malcolm R.; Escobar, Elva; Levin, Lisa A.; Menot, Lenaick; Rowden, Ashley A.; Smith, Craig R.; Van Dover, Cindy L.. |
| The deep sea, the largest ecosystem on Earth and one of the least studied, harbours high biodiversity and provides a wealth of resources. Although humans have used the oceans for millennia, technological developments now allow exploitation of fisheries resources, hydrocarbons and minerals below 2000 m depth. The remoteness of the deep seafloor has promoted the disposal of residues and litter. Ocean acidification and climate change now bring a new dimension of global effects. Thus the challenges facing the deep sea are large and accelerating, providing a new imperative for the science community, industry and national and international organizations to work together to develop successful exploitation management and conservation of the deep-sea ecosystem.... |
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| Ano: 2011 |
URL: http://archimer.ifremer.fr/doc/00044/15485/12876.pdf |
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| 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. |
| 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... |
| Tipo: Text |
Palavras-chave: Biodiversity; Collaboration; Conservation; Cross-ecosystem; Database; Deep sea; Functional trait; Global-scale; Hydrothermal vent; SFDvent. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00509/62033/66160.pdf |
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