| Type |
Article |
| Date |
2009-08 |
| Language |
English |
| Author(s) |
Bachraty Charleyne1, Legendre P.1, Desbruyeres Daniel2 |
| Affiliation(s) |
1 : Univ Montreal, Dept Sci Biol, Montreal, PQ H3C 3J7, Canada.
2 : IFREMER, Ctr Brest, Dept Etud Ecosyst Profonds, F-29280 Plouzane, France. |
| Source |
Deep Sea Research Part I: Oceanographic Research Papers (0967-0637) (Elsevier), 2009-08 , Vol. 56 , N. 8 , P. 1371-1378 |
| DOI |
10.1016/j.dsr.2009.01.009 |
| WOS© Times Cited |
108 |
| Keyword(s) |
Multivariate regression tree, Minimum spanning tree, Deep sea hydrothermal vent communities, Coefficients of dispersal direction, Centre of dispersal, Biogeographic provinces |
| Abstract |
The discovery of deep-sea hydrothermal vent fauna, kilometres deep in the oceans, is a great achievement of 20th-century marine biology. The deep-sea hydrothermal food web does not directly depend on the sun's energy. Vent communities rely primarily on trophic associations between chemoautotrophic bacteria and consumers A small. number of endemic taxa are adapted to the inhospitable vent environments that are distributed along ridge crests. Where these vent communities originated and how they dispersed are among the important questions ecologists must answer. Here, by statistical analysis of the most comprehensive database ever assembled about deep-sea hydrothermal fauna, we delineate six major hydrothermal provinces in the world ocean and identify seven possible dispersal pathways between adjacent provinces. Our model suggests that the East-Pacific Rise may have played a pivotal role as a centre of dispersal for the hydrothermal fauna. Our data-driven conclusion will have to be tested by phylogenetic studies and completed by surveys of less-explored fields. |
| Full Text |
| File |
Pages |
Size |
Access |
| publication-6936.pdf |
10 |
230 KB |
Open access |
| Appendix : supplementary Table 1 |
|
532 KB |
Open access |
|
