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Abundance and spatial-temporal distribution of the shrimp Xiphopenaeus kroyeri (Decapoda: Penaeidae): an exploited species in southeast Brazil

Overview of attention for article published in Brazilian Journal of Biology, April 2016
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Title
Abundance and spatial-temporal distribution of the shrimp Xiphopenaeus kroyeri (Decapoda: Penaeidae): an exploited species in southeast Brazil
Published in
Brazilian Journal of Biology, April 2016
DOI 10.1590/1519-6984.01814
Pubmed ID
Authors

E. R. Silva, G. S. Sancinetti, A. Fransozo, A. Azevedo, R. C. Costa

Abstract

This study evaluated the abundance and spatial-temporal distribution of the shrimp Xiphopenaeus kroyeri in the coastal region of Macaé, state of Rio de Janeiro, southeastern Brazil. Monthly samples were obtained from March 2008 to February 2010 in six stations located in Inner (5, 10 and 15m depth) and Outer (25, 35 and 45m depth) areas. It was used a commercial fishery boat equipped with an otter-trawl net (3.5 m mouth width, mesh size 20mm and 15mm in the cod end). Water samples were taken for determination of temperature and salinity, and sediment samples for determination of texture and organic matter content. A total of 7146 shrimps were sampled. About 95% of all shrimps were caught in the shallow area, i.e., depths <20m. Greatest abundances were recorded in winter and spring. No significant correlation was observed between sediment (phi) and abundance. The distribution of X. kroyeri in the studied area was closely related to seasonal cold waterfront of the South Atlantic Central Water (SACW) and temperature was the main factor affecting the species abundance.

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The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Professor 4 19%
Student > Bachelor 3 14%
Student > Postgraduate 2 10%
Researcher 2 10%
Other 1 5%
Unknown 4 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 48%
Immunology and Microbiology 1 5%
Economics, Econometrics and Finance 1 5%
Psychology 1 5%
Social Sciences 1 5%
Other 0 0%
Unknown 7 33%