diversity and spatio-temporal distribution of the ichthyoplankton in the lower amazon river, brazil

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ID: 143338
2017
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Abstract
The present study investigated (i) the taxonomic composition of the larval fish fauna of the lower Amazon River, (ii) the structure of the larval assemblage, and (iii) the relationship between the abundance of the ichthyoplankton and environmental variables, in order to evaluate the importance of this river sector as spawning and nursery grounds for the region’s fish species. Data were collected monthly between January and December 2013 during the day and at night sampling cycles. A total of 2,295 fish eggs and 46,298 larvae were collected, quantified and classified larvae in 63 taxa. These larvae belonged to species with a variety of reproductive strategies. Individuals at a very early stage of development made up 92% of the specimens collected. High densities of larvae were recorded between January and March, corresponding to the breeding season of most of the species exploited by local fisheries. This peak in density was associated with the period in which rainfall, river water levels, and dissolved oxygen concentrations all peaked, while pH and electrical conductivity reached their lowest levels. The results of the present study confirmed that a number of different fish species use the margins of the lower Amazon river as spawning grounds and nurseries, as well as dispersal routes. This emphasizes the importance of these areas for the reproduction of local fish species and the maintenance of their populations, and highlights the need for the preservation of these areas and the more effective regulation of the closed season. Keywords: Amazon; distribution; fish eggs and larvae; environmental variables; conservation.
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zacardi2017biotadiversity Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Diego Maia Zacardi;Silvana Cristina Silva da Ponte;Liliane Campos Ferreira;Maria Aparecida Silva de Lima;Ádria Juliana Sousa da Silva;Cláudia Sousa Chaves
Journal lecture notes in computer science (including subseries lecture notes in artificial intelligence and lecture notes in bioinformatics)
Year 2017
DOI
10.18561/2179-5746/biotaamazonia.v7n2p12-20
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