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Microscopic species make the diversity: a checklist of marine flora and fauna around the Island of Sylt in the North Sea
Armonies, W.; Asmus, H.; Buschbaum, C.; Lackschewitz, D.; Reise, K.; Rick, J. (2018). Microscopic species make the diversity: a checklist of marine flora and fauna around the Island of Sylt in the North Sea. Helgol. Mar. Res. 72(1): 11. https://dx.doi.org/10.1186/s10152-018-0512-8
In: Helgoland Marine Research. Springer: Berlin; Heidelberg. ISSN 1438-387X; e-ISSN 1438-3888, more
Peer reviewed article  

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Keyword
    Marine/Coastal
Author keywords
    Marine biodiversity; Species inventory; Long-term ecological research

Authors  Top 
  • Armonies, W.
  • Asmus, H., more
  • Buschbaum, C., more
  • Lackschewitz, D.
  • Reise, K., more
  • Rick, J.

Abstract
    Based on the past 150 years of research and ongoing time-series observations we give a comprehensive overview of marine species composition around the island of Sylt in the eastern North Sea. A total of 2758 species is listed according to the categories microplankton (591 species), zooplankton (137), nekton (118), benthic microflora (158), benthic macroflora (125), benthic micro-and meiofauna (1204), benthic macrofauna (509), birds and mammals (91), and neobiota (39). Plants account for a third of the species, most (85%) of them are microscopic Chromista. Among animals, 60% of the species are micro- and meiofauna though this faunal component is still insufficiently known. These figures are similar to records from the southern North Sea and therefore may by typical for temperate climate sedimentary coastal areas. A comparison with the total of marine species suggests that the small benthic fauna may be severely understudied over most of the world. Analysis of global change depends on sound baseline data and species inventories like this can assist in the detection of biodiversity changes. They emphasise rare species and the full range of local habitats while time-series measurements usually rely on a few selected habitats and biotic components to generate a very general picture of the state of an ecosystem.

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