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Pteropoda (Gastropoda, Thecosomata and Gymnosomata) collected along the northeast coast of the archipelago of Sao Pedro and Sao Paulo, Brazil

Pteropoda studies were carried out offshore Sao Pedro and Sao Paulo Archipelago (0 degree 56'2"N e 29 degree 20'6"W) to assess biodiversity and spatial distribution. A Bongo net (mesh size 300 micrometer) was hauled obliquely from a depth between 0 and 50 m and 0 and 100 m by the...

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Bibliographic Details
Published in:Revista brasileira de zoologia 2002-07, Vol.19, p.215-227
Main Authors: de Oliveira, VS, Larrazabal, MEL
Format: Article
Language:Portuguese
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Summary:Pteropoda studies were carried out offshore Sao Pedro and Sao Paulo Archipelago (0 degree 56'2"N e 29 degree 20'6"W) to assess biodiversity and spatial distribution. A Bongo net (mesh size 300 micrometer) was hauled obliquely from a depth between 0 and 50 m and 0 and 100 m by the REVIZEE-SCORE/NE I oceanographic expedition on board of the Brazilian Navy Oceanographic Ship Antares. Samples were collected at 16 stations from September to October 1995. A total of 880 organisms distributed in 20 species, 14 genera and 9 families were identified. At the layer 0-50 m, Creseis virgula (Rang 1828) was the most frequent species (71.43%), followed by Limacina inflata (Orbigny, 1836) and Cavolinia inflexa (Lesueur, 1813) (64.28%, each). In terms of relative abundance outranked L. inflata (varying between 57.5 and 92.24%) and C. virgula (varying between 60.0 and 72.73%). At the layer 0-100 m, C. virgula was very frequent (80%), L. inflata (70%) and Cuvierina columnella (Rang 1827) (40%) were frequent, other species had less than 30% of frequency. L. inflata varied from 37.5 to 100% and C. virgula from 42.42 to 100% of relative abundance. Species diversity varied from medium to low (< 2.0 bits.ind super(-1)) in both layers. At the layer 0-50 m C. virgula was directly correlated to temperature and salinity, while at the layer 0-100 m L. inflata was correlated to these parameters, showing that these species are Tropical Water indicators.
ISSN:0101-8175