A Dual Phase Evolution Model of Adaptive Radiation in Landscapes

  • Greg Paperin
  • David Green
  • Suzanne Sadedin
  • Tania Leishman
Conference paper

DOI: 10.1007/978-3-540-76931-6_12

Volume 4828 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Paperin G., Green D., Sadedin S., Leishman T. (2007) A Dual Phase Evolution Model of Adaptive Radiation in Landscapes. In: Randall M., Abbass H.A., Wiles J. (eds) Progress in Artificial Life. ACAL 2007. Lecture Notes in Computer Science, vol 4828. Springer, Berlin, Heidelberg

Abstract

In this study, we describe an evolutionary mechanism – Dual Phase Evolution (DPE) – and argue that it plays a key role in the emergence of internal structure in complex adaptive systems (CAS). Our DPE theory proposes that CAS exhibit two well-defined phases – selection and variation – and that shifts from one phase to the other are triggered by external perturbations. We discuss empirical data which demonstrates that DPE processes play a prominent role in species evolution within landscapes and argue that processes governing a wide range of self-organising phenomena are similar in nature. In support, we present a simulation model of adaptive radiation in landscapes. In the model, organisms normally exist within a connected landscape in which selection maintains them in a stable state. Intermittent disturbances (such as fires, commentary impacts) flip the system into a disconnected phase, in which populations become fragmented, freeing up areas of empty space in which selection pressure lessens and genetic variation predominates. The simulation results show that the DPE mechanism may indeed facilitate the appearance of complex diversity in a landscape ecosystem.

Keywords

Dual Phase Evolution complex systems speciation adaptive radia- tion simulation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Greg Paperin
    • 1
  • David Green
    • 1
  • Suzanne Sadedin
    • 1
  • Tania Leishman
    • 1
  1. 1.Monash University, Faculty of Information Technology, Clayton Campus, Bldg. 63, Wellington Rd, Clayton, 3800 VicAustralia