Modelling and simulations of the migration of pelagic fish

Author:

Barbaro Alethea1,Einarsson Baldvin123,Birnir Björn123,Sigurðsson Sven4,Valdimarsson Héðinn5,Pálsson Ólafur Karvel5,Sveinbjörnsson Sveinn5,Sigurðsson Þorsteinn5

Affiliation:

1. Department of Mathematics, South Hall, University of California, Santa Barbara, CA 93106-3080, USA

2. Faculty of Physical Sciences, University of Iceland, Hjarðarhaga 2-6, IS-101 Reykjavík, Iceland

3. Center for Complex and Nonlinear Science, 6513 South Hall, University of California, Santa Barbara, CA 93106, USA

4. Faculty of Industrial Engineering, Mechanical Engineering and Computer Science, University of Iceland, Hjarðarhaga 2-6, IS-101 Reykjavík, Iceland

5. Marine Research Institute of Iceland, Skúlagötu 4, IS-121, Reykjavík, Iceland

Abstract

Abstract Barbaro, A., Einarsson, B., Birnir, B., Sigurðsson, S., Valdimarsson, H., Pálsson, Ó. K., Sveinbjörnsson, S., and Sigurðsson, Þ. 2009. Modelling and simulations of the migration of pelagic fish. – ICES Journal of Marine Science, 66: 826–838. We applied an interacting particle model to the Icelandic capelin stock to reproduce the spawning migration route for three different years, successfully predicting the route for 2008. Using available temperature data and approximated currents, and without using artificial forcing terms or a homing instinct, our model was able to reproduce the observed migration routes from all 3 years. By a sensitivity analysis, we identified oceanic temperature and the balance between the influence of interaction among particles and the particles' response to temperature as the control parameters most significant in determining the migration route. One significant contribution of this paper is the inclusion of orders of magnitude more particles than similar models, which affects the global behaviour of the model by propagating information about surrounding temperature through the school more efficiently. To maintain the same dynamics between different simulations, we argue a linear relationship between the time-step, radii of interactions, and the spatial resolution, and we argue that these scale as N−1/2, where N is the number of particles.

Publisher

Oxford University Press (OUP)

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics,Oceanography

Reference47 articles.

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5. Effects of fish length and temperature on the timing of peak spawning in capelin (Mallotus villosus);Carscadden;Canadian Journal of Fisheries and Aquatic Sciences,1997

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