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International Conference on Cellular Automata

ACRI 2002: Cellular Automata pp 210–219Cite as

A Fish Migration Model

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2493))

Abstract

Today most german rivers are flow regulated by dams. They form a barrier for migrating fish species like salmon and are one cause for sustainable disturbances of the ecosystem even to extinction of several fish species. Our question is how to distribute financial resources to improve fish passage systems to obtain a maximal effect. We present a concept to model up- and downstream fish migration with an individual based approach. It allows us to test different strategies of resource distribution. We give an example modelling a part of the river Moselle in Germany and discuss further extensions.

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Author information

Authors and Affiliations

  1. Biomathematics, University of Tübingen, Auf der Morgenstelle 10, 72076, Tübingen, Germany

    Birgitt Schönfisch

  2. University of applied sciences Koblenz, RheinAhrCampus, Südallee 2, 53424, Remagen, Germany

    Michael Kinder

Authors
  1. Birgitt Schönfisch
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  2. Michael Kinder
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Systems and Communication, University of Milano-Bicocca, Via Bicocca degli Arcimboldi, 8, 20126, Milan, Italy

    Stefania Bandini

  2. Computer Science Department, University of Geneva, 24, Rue du General Dufour, 1211, Geneva 4, Switzerland

    Bastien Chopard

  3. Computer Science Institute Faculty of Sciences, University of Lausanne, 1015, Lausanne, Switzerland

    Marco Tomassini

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© 2002 Springer-Verlag Berlin Heidelberg

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Schönfisch, B., Kinder, M. (2002). A Fish Migration Model. In: Bandini, S., Chopard, B., Tomassini, M. (eds) Cellular Automata. ACRI 2002. Lecture Notes in Computer Science, vol 2493. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45830-1_20

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  • DOI: https://doi.org/10.1007/3-540-45830-1_20

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44304-9

  • Online ISBN: 978-3-540-45830-2

  • eBook Packages: Springer Book Archive

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