Name
Abstract | ||
|---|---|---|
The paper considers the evolution of a particular class of networks of identical chaotic oscillators, namely that of ecological networks. In these networks, nodes represent patches where a certain number of plant and animal populations interact on ecological timescale, arcs represent migration flows due to dispersal, and Darwinian evolution is responsible for variations, on a longer evolutionary timescale, of the demographic parameters characterizing the populations. Up to now, this problem has been mainly studied with reference to single-population patches described by one-dimensional discrete-time models and by considering only the dispersal rates of migrating populations as an evolving trait. Here, we propose a method of investigation which allows to study multipopulation patches described by continuous-time models with evolving traits influencing various demographic parameters (including or not dispersal). The method is casted within the frame of the so-called master stability function approach for the analysis of synchronization of coupled systems, and the results obtained in a first and very simple application support the conjecture that evolution drives ecological networks toward weak forms of synchronization. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1142/S0218127407018506 | INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS |
Keywords | DocType | Volume |
chaotic dynamics, Darwinian evolution, ecological networks, synchronization | Journal | 17 |
Issue | ISSN | Citations |
7 | 0218-1274 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Dercole | 1 | 47 | 14.32 |
| Daniele Loiacono | 2 | 535 | 37.11 |
| Sergio Rinaldi | 3 | 0 | 0.34 |