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Descriptions of spawning and larval development of Ethmalosa, up to the vitelline vesicle resorption stage, are made from plankton samplings in the Ebrié coastal lagoon and from artificially fertilized eggs. Spawning takes place from November to June in waters with salinities of 18 to 26 parts per thousand, and temperatures of 22.8 to 30.2 degrees, for 13-14 cm long fishes.

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Hydroclimatic conditions in the Gulf of Guinea between Senegal and Nigeria are briefly described emphasizing the seasonal variations of transparency. Analysis of the Abidjan based shrimp fleet allowed to the description of the seasonal variations of activity rhythms for Côte d'Ivoire, Ghana, and Nigeria. These rhythms are different between seasons, between fishing grounds, and sometimes even between depths on a given ground. These variations follow the turbidity ones. Diurnal activity is observed in very turbid waters, nocturnal and transition activity in clearer ones. The authors assume that the basic behaviour is a nocturnal one, but that the shrimp-trawlers catches reflect some apparently different ones resulting from diel variations in the stock availability. To explain the apparently diurnal behaviour observed most of the year over the whole Gulf of Guinea it is suggested that these generally benthic shrimps become nectonic at night when turbidity is very high. The results obtained in Ivory Coast, Ghana and Nigeria are compared to those from Senegal where hydroclimatic conditions are different. The similarities are emphasized. The differences in observed behaviour are supposedly caused by the cold season water temps which are sufficiently low to disturb the nor mal activity rhythm.

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21 surveys over the whole Ivorian continental shelf lead to a description of the phytoplankton repartition according to the different seasons: great and small cold seasons, discharge seasons, and warm seasons. Yearly means of surface cells concentrations range from 1000 to 30000 cells per liter, corresponding to a daily production of 386 to 1166 mg C/m2, according to regression analysis. These values make Côte d'Ivoire a rather rich region, which is subjected to wide standing crop variations.