Predicting fish distribution in a mesotrophic lake by hydroacoustic survey and artificial neural networks

Article Abstract:

Fish distribution prediction in a mesotrophic lake through use of artificial neural networks and hydroacoustic survey is discussed. Development and validation of Artificial Neural Networks (ANN), comparing them with classical and more advanced parametric/nonparametric statistical modeling methods to estimate spatial distribution of fish in the reservoir using 60 hydroacoustic transects for the entire lake. Observations led to discussion of ecological significance, perhaps due to a trade-off between feeding, avoidance, predation and endogenous fish needs. A clear summer habitat referendum was seen with the fish, mostly near the surface, in warm shallow littoral parts of the lake.

Computer networks, Equipment and supplies, Neural networks, Ichthyological research, Ichthyology, Biological models, Lake fauna, Lake animals, Underwater acoustics

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Density-induced water circulations in atoll coral reefs: a numerical study

Article Abstract:

A numerical study of density-induced water circulations in atoll coral reefs has been carried out. The study had as its object testing the endoupwelling hypothesis which suggests by analogy to coastal upwelling that nutrients are transported through the atoll by groupwater flow to the surface ecosystem. It was found that inward and upward circulation of water of oceanic origin goes through the massive carbonates of atoll platforms. Salinity increases flow rates and platform thickness is a factor in controlling hydraulic velocities.

Environmental aspects, Groundwater flow, Upwelling (Oceanography), Thermal energy conversion, Dolomite

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