• Contact

  • Newsletter

  • About us

  • Delivery options

  • Prospero Book Market Podcast

  • Chaos in Ecology: Experimental Nonlinear Dynamics

    Chaos in Ecology by Cushing, J. M.; Costantino, Robert F.; Dennis, Brian;

    Experimental Nonlinear Dynamics

    Series: Theoretical Ecology Series; 1;

      • GET 10% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 95.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        37 478 Ft (35 693 Ft + 5% VAT)
      • Discount 10% (cc. 3 748 Ft off)
      • Discounted price 33 730 Ft (32 124 Ft + 5% VAT)

    37 478 Ft

    db

    Availability

    printed on demand

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Long description:

    It is impossible to predict the exact behavior of all biological systems and how these same systems are exemplified by patterns of complexity and regularity. Decades of research in ecology have documented how these sorts of patterns are the consequences of deceptively simple rules that determine the nature of the patterns created. Chaos in Ecology will explain how simple beginnings result in complicated results.

    Chaos in Ecology is the inaugural volume of Theoretical Ecology Series. The authors of this volume have employed data from a proven model system in population dynamics. As a result, this book will be of interest to anyone interested in the ecology of populations.

    More

    Table of Contents:

    Introduction
    Models
    Bifurcations
    Chaos
    Patterns in Chaos
    What We Learned

    More
    0