A BEHAVIORAL AGENT MODEL FOR SYNTHESIZING VEGETATION DISTRIBUTION PATTERNS ON 3D TERRAINS

  • Authors:
  • Eugene Ch'ng

  • Affiliations:
  • School of Computing and Information Technology, The University of Wolverhampton, Technology Centre, Wolverhampton, UK

  • Venue:
  • Applied Artificial Intelligence
  • Year:
  • 2009

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Abstract

Vegetations, similar to other organisms, persist on terrains based on niches of their abiotic and biotic environments. Agent-based models of vegetation have demonstrated that, via the process of macro self-organization, are capable of forming forests and undergrowth by means of their behavior and the resources available in the ecosystem. In order to more accurately synthesize their collective behavior, a set of rules encompassing basic vegetation behavior were defined to enable realistic patterns to be formed locally via interaction and extra-locally via emergence in accord with their preferences in various controlled environments. Furthermore, the use of botanical parameters fine-tuned and regulated via simple rules could, in the near future, become a potential model for determining large-scale spatial and temporal distribution of dominant vegetation species, enhancing traditional methods and visualization in studies related to forest dynamics and research in landscape reconstruction.