POPULATION DYNAMICS ON COMPLEX FOOD WEBS
Gian Marco Palamara (),
Vinko Zlatić (),
Antonio Scala () and
Guido Caldarelli ()
Additional contact information
Gian Marco Palamara: Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190 CH-8057, Zurich, Switzerland
Vinko Zlatić: Theoretical Physics Division, Rudjer Bošković Institute, P. O. Box 180, HR-10002 Zagreb, Croatia;
Antonio Scala: ISC-CNR, Department of Physics, University of Rome "Sapienza" P.le Moro 5, 00185 Rome, Italy;
Guido Caldarelli: ISC-CNR, Department of Physics, University of Rome "Sapienza" P.le Moro 5, 00185 Rome, Italy;
Advances in Complex Systems (ACS), 2011, vol. 14, issue 04, 635-647
Abstract:
In this work we analyze the topological and dynamical properties of a simple model of complex food webs, namely the niche model. In order to underline competition among species, we introduce "prey" and "predators" weighted overlap graphs derived from the niche model and compare synthetic food webs with real data. Doing so, we find new tests for the goodness of synthetic food web models and indicate a possible direction of improvement for existing ones. We then exploit the weighted overlap graphs to define a competition kernel for Lotka–Volterra population dynamics and find that for such a model the stability of food webs decreases with its ecological complexity.
Keywords: Complex networks; food webs; population dynamics (search for similar items in EconPapers)
Date: 2011
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219525911003116
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:14:y:2011:i:04:n:s0219525911003116
Ordering information: This journal article can be ordered from
DOI: 10.1142/S0219525911003116
Access Statistics for this article
Advances in Complex Systems (ACS) is currently edited by Frank Schweitzer
More articles in Advances in Complex Systems (ACS) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().