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Nematode and macrofaunal diversity in central Arctic Ocean benthos
Renaud, P.E.; Ambrose, W.G.; Vanreusel, A.; Clough, L.M. (2006). Nematode and macrofaunal diversity in central Arctic Ocean benthos. J. Exp. Mar. Biol. Ecol. 330(1): 297-306.
In: Journal of Experimental Marine Biology and Ecology. Elsevier: Tokyo; Oxford; New York; Lausanne; Shannon; Amsterdam. ISSN 0022-0981, more
Peer reviewed article  

Available in Authors 
    VLIZ: Open Repository 279956 [ OMA ]

Author keywords
    benthic-pelagic coupling; deep-sea; latitudinal gradient; regional

Authors  Top 
  • Renaud, P.E.
  • Ambrose, W.G.
  • Vanreusel, A., more
  • Clough, L.M.

    Deep-sea diversity studies have revealed intriguing patterns on both local and regional scales, but there is insufficient evidence with which to evaluate these trends in the Arctic Ocean basin. We collected data on the diversity of benthic macrofauna and meiofaunal nematodes along two transects from the shelf margin to the North Pole. Contrary to prevailing paradigms, there was no change in diversity with depth between 1000 and 4273 in. There was a trend, however, toward reduced taxonomic richness for both macrofauna and nematodes with increasing latitude. Regional (beta-) diversity differences were not observed for nematodes, but significant contrasts in Bray-Curtis similarity-based community structure of macrofauna were seen between the Eurasian and Amerasian Basins, as well as between the Lomonosov and Mendeleev Ridges. Since fauna within the deep Arctic Ocean appear to represent a single species pool, we suggest that both local (alpha-) and beta-diversity may be determined by ecological processes in the Arctic, and are not the consequence of historical or evolutionary processes. Furthermore, insights gained from studies of benthic-pelagic coupling, known to play a significant role in determining benthic community structure and function at high latitudes, may also be useful in investigations of Arctic biodiversity. This model may be valuable in designing future studies of biodiversity, and for predicting potential impacts of climate change on diversity patterns.

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