François Gerlotto

TL;DR: A methodology applying multibeam sonar for three-dimensional observation of fish schools that enhances the conventional use of vertical scientific echo sounders that is detailed for school classification, internal school structure, spatial distribution of schools, fish behaviour, and biomass estimates is presented.

TL;DR: In this paper, the authors presented the first comprehensive sub-mesocale study of anchoveta distribution in relation to the environment, using a series of observational and sampling tools including SST and CO2 sensors, Niskin bottles, CTD probes, zooplankton sampling, stomach content analysis, echo-sounder, multibeam sonar, and bird observations.

TL;DR: In this paper, a lateral multi-beam sonar was used to estimate the vertical and lateral avoidance patterns of schools in relation to their size, external structure, and their position in the water column, and to quantify the vessel influence on biomass estimated by echo-sounder.

TL;DR: In this paper, the authors used a dual-beam vertical echo-sounder (BioSonics) connected to a special school integrator software package (INES-MOVIES-B) which estimates school parameters in terms of size, geometry, and density.

TL;DR: The results suggest that fishermen have evolved an optimal movement pattern among the family of Lévy random walks, suggesting that fishermen use a stochastic search strategy which conforms to the same search statistics as non-human predators.