Non-Linear Analyses of Fish Behaviours in Response to Aquatic Environmental Pollutants—A Review

Analysis of fish behaviour is an effective way to indirectly identify the presence environmental pollutants that negatively affect life, its production and quality. Monitoring individual collective behaviours produces large amounts non-linear data require tailor-suited computational methods interpret manage information. Fractal dimension (FD) entropy are two groups such analysing serve as indicators complexity predictability (entropy) behaviours. Since behavioural may be modulated by contaminants, changes in FD values have a clear potential embedded biological early warning system (BEWS), which particularly useful Precision Fish Farming settings monitor wild populations. This work presents review effects wide range including toxic compounds, cleaning disinfecting agents, stimulant (caffeine), anaesthetics antibiotics, heavy metals (lead, cupper, mercury), selenium, pesticides persistent pollutants, on responses different species. All revised studies demonstrate usefulness both indicate underline need consider trend evolution their prior them becoming significantly from control values, i.e., while it still possible contaminant preserve health integrity fish.