2 resultados para Magnetic variables measurement

em Aquatic Commons


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ENGLISH: An average of 78 m. of water was vertically displaced by wind-driven upwelling during the dry season (January-April) in Panama Bay at the head of the Gulf of Panama. The standing crop of phytoplankton and its productivity were significantly greater during the months of upwelling than during the rainy season. Equivalent results were found by three different methods used to calculate photosynthesis: direct measurement with radiocarbon; increase of dissolved oxygen in the water column; and decrease of phosphate-phosphorus in the water column. About 90 g. of carbon per square meter of sea surface were fixed by the phytoplankton during each upwelling season (January-April) and about 90 g. of carbon were fixed during each rainy season (May-December) resulting in an annual production of about 180 g. of carbon per square meter of sea surface SPANISH: Un promedio de 78 m. de agua fué desplazado verticalmente por la fuerza de los vientos que ocasionan el fenómeno conocido por afloramiento durante la estación seca (enero a abril) en la Bahía de Panamá, a la cabeza del Golfo de Panamá. La cosecha estable de fitoplancton y su productividad fueron significativamente mayores durante los meses de afloramiento, que durante la estación lluviosa. Se obtuvieron resultados equivalentes por medio de tres diferentes métodos usados para calcular la fotosíntesis: medición directa con radiocarbono, aumento del oxígeno disuelto en la columna de agua, y disminución del fosfato-fósforo en la columna de agua. Por medio del fitoplancton durante cada estación de afloramiento (enero-abril), se fijaron alrededor de 90 g. de carbono por metro cuadrado de la superficie del mar, y durante cada estación lluviosa (mayo-diciembre) se fijaron 90 g. de carbono lo que resulta en una producción anual de aproximadamente 180 g. de carbono por metro cuadrado de la superficie del mar.

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Relation of weight to height, length and breadth in the Indian backwater oyster Crassostrea madrasensis (Preston) is reported. The relative importance of the variables on weight was found to be height, length and breadth in their order of preference. The multiple regression V = -0.4017 + 0.46743 X + 0.8278 Y + 0.1130 Z can be used to estimate the meat weight (logarithm) for given dimensions of length, height and breadth (all in logarithms). An exponential relation between weight and height is also observed.