Thecosomata e Gymnosomata (Mollusca, Gastropoda) da cadeia Fernando de Noronha, Brasil

Autor: Maria Eduarda de Larrazábal, Valdeni Soares de Oliveira
Rok vydání: 2003
Předmět:
Zdroj: Revista Brasileira de Zoologia, Vol 20, Iss 2, Pp 351-360 (2003)
Revista Brasileira de Zoologia, Vol 20, Iss 2, Pp 351-360
Revista Brasileira de Zoologia v.20 n.2 2003
Revista Brasileira de Zoologia
Sociedade Brasileira de Zoologia (SBZ)
instacron:SBZ
ISSN: 0101-8175
DOI: 10.1590/s0101-81752003000200028
Popis: The Mollusca Pteropoda from Fernando de Noronha Chain Northeastern Brazil were studied in order to know their taxonomy and distribution. Collections were carried out during the I Oceanographical Expedition of the REVIZEE Program (Live Resources of the Economical Exclusive Zone) from August to September 1995. The studied area is located between 03°04'S-04°23'S and 32°19'W-36°26'W, comprising 35 stations. Sampling was performed through oblique hauls from 50m depth to surface and from 100 m depth to surface, with a Bongo net (300 and 500 µm mesh size, net diameter: 60 cm), that was equipped with a flow meter. Samples in a total of 99 were preserved, immediately, in buffered 4% formaldehyde. Qualitative and quantitative analyses of the samples were performed based on total sample. The samples were analysed on a counting plate "Bogorov" type under a stereo microscope. A total of 8,258 organisms were identified belonging to: 8 families, 16 genera and 27 species. Limacina inflata (d´Orbigny, 1836) and Creseis virgula (Rang, 1828) were frequent and very frequent in the area outranking among the studied Pteropoda. The total density varied from 2.5 to 3,012.05 org.m-³. Highest richness was registered at the Continental Shelf and Slope with 1two species. The Pteropoda association showed higher differences between day and night collections. Limacina inflata caused this difference due to its higher density at night collections and it was independent of the depth, mesh size and temperature. Creseis virgula had its occurrence, mainly, during day time.
Databáze: OpenAIRE