• DocumentCode
    2528914
  • Title

    ECOME: a simple model for an evolving consumption web

  • Author

    Bystroff, Christopher ; DeLuca, Sam ; McDaniel, Carl N.

  • Author_Institution
    Biol. Dept., Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    2005
  • fDate
    8-11 Aug. 2005
  • Firstpage
    260
  • Lastpage
    261
  • Abstract
    ECOME is an interactive, graph-based model for simulating an evolving, closed consumption web. It demonstrates the fundamental behavior of a global ecosystem over evolutionary time using well-established ecological/evolutionary principles. Nodes in the graph send biomass along weighted, directed edges. New nodes evolve by speciation and disappear when biomass (i.e. population) shrinks to zero. Consumption rates, predator/prey relationships, and speciation rates are user-defined, following theoretic-distributions. The output shows the biomass and biodiversity over time for up to five trophic levels. Using this simple system, we demonstrate that closed ecosystems are inherently unstable in the absence of evolution or in the presence of a single, hyper-changing species, but are dynamically stable and robust to perturbations when the evolution rates for all species follow a normal distribution. Our new application provides provocative lessons for biology students during a time of mass extinction.
  • Keywords
    bioenergy conversion; biology computing; client-server systems; ecology; evolution (biological); graph theory; perturbation theory; predator-prey systems; Web ECOME; biodiversity; biomass; consumption rate; ecosystem; evolutionary principle; global ecosystem; graph-based model; hyper-changing species; mass extinction; perturbation; predator-prey relationship; speciation rate; Animals; Atmosphere; Atmospheric modeling; Biodiversity; Biological system modeling; Biomass; Computational biology; Ecosystems; Evolution (biology); Kernel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Systems Bioinformatics Conference, 2005. Workshops and Poster Abstracts. IEEE
  • Print_ISBN
    0-7695-2442-7
  • Type

    conf

  • DOI
    10.1109/CSBW.2005.56
  • Filename
    1540622