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Controlling chaos in ecology: From deterministic to individual-based models

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Abstract

The possibility of chaos control in biological systems has been stimulated by recent advances in the study of heart and brain tissue dynamics. More recently, some authors have conjectured that such a method might be applied to population dynamics and even play a nontrivial evolutionary role in ecology. In this paper we explore this idea by means of both mathematical and individual-based simulation models. Because of the intrinsic noise linked to individual behavior, controlling a noisy system becomes more difficult but, as shown here, it is a feasible task allowed to be experimentally tested.

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Authors and Affiliations

  1. Complex Systems Research Group, Department of Physics FEN, Universitat Politécnica de Catalunya, Campus Nord B5, 08034, Barcelona, Spain

    Ricard V. Solé & Javier G. P. Gamarra

  2. Forest Technology Center of Catalonia, Pujada del Seminari s/n, 25280, Solsona, Spain

    Javier G. P. Gamarra

  3. Escola Superior d’Agricultura de Barcelona, Urgell 187, 08036, Barcelona, Spain

    Marta Ginovart & Daniel López

Authors
  1. Ricard V. Solé
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  2. Javier G. P. Gamarra
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  3. Marta Ginovart
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  4. Daniel López
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Solé, R.V., Gamarra, J.G.P., Ginovart, M. et al. Controlling chaos in ecology: From deterministic to individual-based models. Bull. Math. Biol. 61, 1187–1207 (1999). https://doi.org/10.1006/bulm.1999.0141

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  • DOI: https://doi.org/10.1006/bulm.1999.0141

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