• Title of article

    Monarch butterfly spatially discrete advection model

  • Author/Authors

    Yakubu، نويسنده , , Abdul-Aziz and Sلenz، نويسنده , , Roberto and Stein، نويسنده , , Julie and Jones، نويسنده , , Laura E، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2004
  • Pages
    20
  • From page
    183
  • To page
    202
  • Abstract
    We study the population cycles of the Monarch butterfly using one of the simplest systems incorporating both migration and local dynamics. The annual migration of the Monarch involves four generations. Members of Generations 1–3 (occasionally 4) migrate from the over-wintering site in Central Mexico to breeding grounds that extend as far north as the Northern United States and Southern Canada. A portion of the Generation 3 and all members of the Generation 4 butterflies begin their return to the over-wintering grounds in August through October where they enter reproductive diapause for several months. We developed a simple discrete-time island chain model in which different fecundity functions are used to model the reproductive strategies of each generation. The fecundity functions are selected from broad classes of functions that capture the effects of either contest or scramble intraspecific competition in the Monarch population. The objectives of our research are multiple and include the study of the generationally dependent intraspecific competition and its effect on the pool size of migrants as well as the persistence of the overall butterfly populations. The stage structure used in modeling the Monarch butterfly dynamics and their generationally dependent reproductive strategies naturally support fluctuating patterns and multiple attractors. The implications of these fluctuations and attractors on the long-term survival of the Monarch butterfly population are explored.
  • Keywords
    Compensatory dynamics , Contest competition , metapopulation , Fecundity function , MIGRATION , Monarch butterfly , Overcompensatory dynamics , Scramble competition
  • Journal title
    Mathematical Biosciences
  • Serial Year
    2004
  • Journal title
    Mathematical Biosciences
  • Record number

    1588788