• Title of article

    Advantage of storage in a fluctuating environment

  • Author/Authors

    B.W. Kooi، نويسنده , , T.A. Troost، نويسنده ,

  • Issue Information
    دوماهنامه با شماره پیاپی سال 2006
  • Pages
    15
  • From page
    527
  • To page
    541
  • Abstract
    We will elaborate the evolutionary course of an ecosystem consisting of a population in a chemostat environment with periodically fluctuating nutrient supply. The organisms that make up the population consist of structural biomass and energy storage compartments. In a constant chemostat environment a species without energy storage always out-competes a species with energy reserves. This hinders evolution of species with storage from those without storage. Using the adaptive dynamics approach for non-equilibrium ecological systems we will show that in a fluctuating environment there are multiple stable evolutionary singular strategies (SSʹs): one for a species without, and one for a species with energy storage. The evolutionary end-point depends on the initial evolutionary state. We will formulate the invasion fitness in terms of Floquet multipliers for the oscillating non-autonomous system. Bifurcation theory is used to study points where due to evolutionary development by mutational steps, the long-term dynamics of the ecological system changes qualitatively. To that end, at the ecological time scale, the trait value at which invasion of a mutant into a resident population becomes possible can be calculated using numerical bifurcation analysis where the trait is used as the free parameter, because it is just a bifurcation point. In a constant environment there is a unique stable equilibrium for one species following the “competitive exclusion” principle. In contrast, due to the oscillatory dynamics on the ecological time scale two species may coexist. That is, non-equilibrium dynamics enhances biodiversity. However, we will show that this coexistence is not stable on the evolutionary time scale and always one single species survives.
  • Keywords
    Adaptive dynamics , Bifurcation analysis , coevolution , Ecosystem dynamics , Energy storage , Periodically fluctuating environment
  • Journal title
    Theoretical Population Biology
  • Serial Year
    2006
  • Journal title
    Theoretical Population Biology
  • Record number

    773950