Étude hydrologique du plateau continental Ivoirien

The authors give a picture of the average seasonal hydrographic situations over the Ivorian continental shelf using data provided by 26 cruises carried out from July 1969 to January 1972. They study meteorological conditions and the mechanism of setting of different types of hydrographic seasons defined as follows: a cold period related to an upwelling created by winds July to earlier October and a warm period divided in 2 parts in relation with haline variations: a low salinity period in November and December, and a high salinity period from January to May; this one sometimes cut off by short-timed drops in the temperature. Then precisions are given about seasonal and geographical variations using space-time diagrams: last, depth and intensity of the thermocline are examined.

A study on growth of Metapenaeus monoceros (Fabricius) of Maputo Bay

Biological data on Metapenaeus monoceros has been regularly collected in Maputo Bay since 1968. The main objective of this report is to study growth as a function of the size, since this is one of the basic parameters for population dynamics. As the possibility of studying shrimp growth by modal progression analysis depends very much on the space-time configuration of sampling, the years 1968 and 1969 were chosen to study growth of the population available to the bottom trawl used by the fishing industry. In those years sampling was very frequent (twice a week) and the samples were collected from a rather small fishing area. Complementary data on the spawning, juvenile phase and recruitment to the fishery was used to establish the relationship between the different stages of the life cycle and to obtain an age/length key. Data on juveniles in estuaries was only available for 1969 and 1973.

Variation in bacterial populations in time and space

Obtaining a reliable estimate of the bacterial population is one of the main problems facing the bacterial ecologist. The author discusses the various methods available and concludes that the observed variability in bacterial populations depends on the sampling interval used.