A behavioral agent model for synthesizing vegetation distribution patterns on 3D terrains

Eugene Ch'Ng

Research output: Journal PublicationArticlepeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)78-102
Number of pages25
JournalApplied Artificial Intelligence
Volume23
Issue number1
DOIs
Publication statusPublished - Jan 2009
Externally publishedYes

ASJC Scopus subject areas

  • Artificial Intelligence

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