Abstract
Echo is a generic ecosystem model in which evolving agents are situated in a resource-limited environment. The Echo model is described, and the behavior of Echo is evaluated on two well-studied measures of ecological diversity: relative species abundance and the species-area scaling relation. In simulation experiments, these measures are used to compare the behavior of Echo with that of a neutral model, in which selection on agent genotypes is random. These simulations show that the evolutionary component of Echo makes a significant contribution to its behavior and that Echo shows good qualitative agreement with naturally occurring species abundance distributions and species-area scaling relations.
Original language | English (US) |
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Pages (from-to) | 165-190 |
Number of pages | 26 |
Journal | Artificial Life |
Volume | 3 |
Issue number | 3 |
DOIs | |
State | Published - 1997 |
Externally published | Yes |
Keywords
- Community ecology
- Echo
- Genetic algorithms
- Neutral model
- Species diversity
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Artificial Intelligence