| Synchrony in tritrophic food chain metacommunities. | |
| | |
MedLine Citation:
|
PMID: 22880897 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
The synchronous behaviour of interacting communities is studied in this paper. Each community is described by a tritrophic food chain model, and the communities interact through a network with arbitrary topology, composed of patches and migration corridors. The analysis of the local synchronization properties (via the master stability function approach) shows that, if only one species can migrate, the dispersal of the consumer (i.e., the intermediate trophic level) is the most effective mechanism for promoting synchronization. When analysing the effects of the variations of demographic parameters, it is found that factors that stabilize the single community also tend to favour synchronization. Global synchronization is finally analysed by means of the connection graph method, yielding a lower bound on the value of the dispersion rate that guarantees the synchronization of the metacommunity for a given network topology. |
| | |
Authors:
|
Igor Belykh; Carlo Piccardi; Sergio Rinaldi |
Related Documents
:
|
22361177 - Medicinal foods from marine animals: current status and prospects. 21950407 - Evaluating the effects of trophic complexity on a keystone predator by disassembling a ... 22343817 - Is it possible for fda regulatory scientists and industry scientists to work together? 22887147 - Breakfast at tiffany's? only with a low-abundance proteomic signature! 8190807 - Olfactory cues mediate food selection by young chicks. 2557887 - Influence of post-rumen supply of nutrients on rumen digesta load and voluntary intake ... |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: Journal of biological dynamics Volume: 3 ISSN: 1751-3758 ISO Abbreviation: J Biol Dyn Publication Date: 2009 Sep |
Date Detail:
|
Created Date: 2012-08-13 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101299725 Medline TA: J Biol Dyn Country: England |
Other Details:
|
Languages: eng Pagination: 497-514 Citation Subset: IM |
Affiliation:
|
a Department of Mathematics and Statistics , Georgia State University , Atlanta , GA , USA. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: A scaling analysis in the SIRI epidemiological model.
Next Document: An SIS epidemiology game with two subpopulations.