In ecological landscapes, species tend to migrate between patches in search of a better survivability condition. By this dispersal process, they form connectivity between the patches and thereby may develop various correlated or partially correlated population dynamics among species living in the patches. We explore various possible emergent collective population patterns using a simple ecological network model of all-to-all connected patches where we use a particular type of dispersal process that is controlled by a weighted mean-field diffusion to include the failed migration between the interacting patches. We represent the population dynamics of both the predator and prey in each patch by a modified Rosenzweig-MacArthur (mRM) model that incorporates an additional effect of habitat complexity. Our investigation on the network dynamics shows various interesting collective patterns, namely, clustered states and chimera states, besides synchrony and homogeneous steady states (HSS) of species. An important observation is that habitat complexity enhances survival probabilities of interacting species and thus increases population persistence in a natural ecosystem.
Chimera States in Ecological Network Under Weighted Mean-Field Dispersal of Species
Suman Saha,N. Bairagi,S. K. Dana
Published 2019 in Frontiers in Applied Mathematics and Statistics
ABSTRACT
PUBLICATION RECORD
- Publication year
2019
- Venue
Frontiers in Applied Mathematics and Statistics
- Publication date
2019-03-27
- Fields of study
Biology, Computer Science, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-65 of 65 references · Page 1 of 1
CITED BY
Showing 1-20 of 20 citing papers · Page 1 of 1