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 language | English |
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Pages (from-to) | 78-102 |
Number of pages | 25 |
Journal | Applied Artificial Intelligence |
Volume | 23 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2009 |
Externally published | Yes |
ASJC Scopus subject areas
- Artificial Intelligence