Individual based spatial models with evolved fish behaviour
Working paper
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http://hdl.handle.net/11250/105851Utgivelsesdato
1998Metadata
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This report is not to be cited without prior reference to the authorsSammendrag
Due to spatial heterogeneity, the survival and growth of fishes depend upon their
habitat. For mobile pelagic fishes, it hence becomes important to analyse the factors
responsible for spatial dynamics in order to understand population dynamics better.
The current work is an attempt to approach fisheries assessment from a theoretical
ecological perspective. We here present individual based single species and
multispecies models where spatial behaviour and life history strategies are evolved.
Spatial movement for each fish is calculated using an artificial neural network with
weights evolved by a genetic algorithm. Behaviour relies on sensory information
about food, temperature, light and predators. A concept for modelling life history
strategies and migration in fish using this method is presented along with an
application of this concept for the Barents Sea capelin. A predator-prey model based
on the same principle is also presented. Potential areas of application for these kinds
of models are discussed.