Super-individual based model for fish migration
- Published
- Accepted
- Subject Areas
- Aquaculture, Fisheries and Fish Science, Mathematical Biology
- Keywords
- Fish migration, individual based model, collective motion, super-individual based model
- Copyright
- © 2014 Babak
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
- Cite this article
- 2014. Super-individual based model for fish migration. PeerJ PrePrints 2:e674v1 https://doi.org/10.7287/peerj.preprints.674v1
Abstract
One of the most remarkable characteristics of collective motion of fish is the emergence of complex migration patterns in which swimming fish are synchronised by remaining together and moving in the same direction. These migration patterns, referred to as fish schools, are often explained using individual based models (IBM’s) that focus on interactions between single individuals. The IBM’s appear to be realistic and robust; however, they are computationally unable to efficiently describe migration of large groups of fish. Here, an approach for developing computationally efficient super-individual based models from simple individual based models for fish migration is proposed. This approach accentuates on ecological mechanisms underlying collective motion of fish, and interaction between them; it explicitly incorporates such important mechanisms in collective motion of fish as fish school splitting and merging.
Author Comment
This is a submission to PeerJ for review.