Electronic counterpart to ecological models revealed

Press/Media: Research

Description

The European Physical Journal (EPJ) highlighted our published  article, which deals with peering into the future of populations with the help of complex networks of predictive maps.

Period23 Mar 2016

Media coverage

1

Media coverage

  • TitleElectronic counterpart to ecological models revealed
    Degree of recognitionInternational
    Media name/outletEPJ.org
    Media typeWeb
    Country/TerritoryGermany
    Date23/03/16
    DescriptionPredicting the future from the present - that’s what logistic maps can do. For example, they can be used to predict the evolution of a population in the near future based on its present situation. They are relevant when studing systems such as entire populations, where the behaviour of the separate units - which have the ability to self-organise - cannot explain the behaviour of the system as a whole. Alexandre L'Her from the University of the Republic, Montevideo, Uruguay, and colleagues have now developed an electronic version of a logistic map that is capable of interacting with many other maps, making the model scalable. As a benchmark to explain new emerging behaviours of entire complex systems, they have studied networks of logistic maps coupled together at various levels. Their findings were recently published in EPJ B and make it possible to more easily compare previous computer simulations with experimental results obtained using this state-of-the art electronic model.
    URLhttps://www.epj.org/epjb-news/1046-epjb-highlight-electronic-counterpart-to-ecological-models-revealed
    PersonsAlexander L'Her, Pablo Amil, Nicolas Rubido Obrer, Arturo Marti, Cecilia Cabeza