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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Deep Sea Research Pa...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Deep Sea Research Part I Oceanographic Research Papers
Article . 2006 . Peer-reviewed
License: Elsevier TDM
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Seasonal dynamics of sub-ice fauna below pack ice in the Arctic (Fram Strait)

Authors: Iris Werner;

Seasonal dynamics of sub-ice fauna below pack ice in the Arctic (Fram Strait)

Abstract

Abstract Pronounced seasonality is a characteristic feature of polar ecosystems, but seasonal studies in the high-Arctic pack-ice zone are still scarce because of logistical constraints. During six expeditions (1994–2003) to the Fram Strait area between Greenland and Svalbard in winter, spring, early summer, late summer and autumn, the sub-ice habitat and fauna below the pack ice (0–1 m depth) were analyzed for seasonal patterns. Both environmental variables such as ice cover, temperature, salinity and chlorophyll a (chl a ), as well as species composition, abundance and biomass of the sub-ice fauna showed distinct seasonal dynamics. Most species of the sub-ice fauna were found in early summer, followed by autumn, spring and late summer; the lowest number occurred in winter. The sub-ice fauna was dominated by copepod nauplii during all seasons. Next numerous was the small pelagic copepod Oithona similis, followed by occassional swarms of Pseudocalanus minutus and Calanus spp. Abundances of the sympagic fauna in the sub-ice water layer were much lower, with ectinosomatid copepods being usually the most numerous sympagic group. In the course of the year, total abundances of the sub-ice fauna showed a steep increase from the earliest sampling dates towards the end of winter/beginning of spring reaching maximum numbers then, and a decrease to minimum numbers in early summer. A second peak occurred in late summer, followed by a decrease towards autumn. This significant trend was due to the abundances of copepod nauplii and Oithona similis . Sympagic species were virtually absent during winter, and increased significantly in spring and early and late summer. A factor analysis revealed the variables ice cover and thickness, water temperature and salinity, as well as chl a as the major controlling factors for the seasonal patterns in different groups and species of the sub-ice fauna. Because of the special environmental conditions in the sub-ice habitat, and the unique species composition characterized by small taxa, young stages, and sympagic species, the seasonal dynamics of the Arctic sub-ice fauna differ substantially from those of the epipelagic zooplankton community in the Arctic Ocean.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Average
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