Evolutionary food web model based on body masses gives realistic networks with permanent species turnover

2015 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Evolutionary food web model based on body masses gives realistic networks with permanent species turnover​
Allhoff, K. T.; Ritterskamp, D.; Rall, B. C.; Drossel, B. & Guill, C.​ (2015) 
Scientific Reports5 art. 10955​.​ DOI: https://doi.org/10.1038/srep10955 

Documents & Media

srep10955.pdf1.49 MBAdobe PDF

License

Published Version

Attribution 4.0 CC BY 4.0

Details

Authors
Allhoff, K. T.; Ritterskamp, D.; Rall, Bjoern Christian; Drossel, Barbara; Guill, Christian
Abstract
The networks of predator-prey interactions in ecological systems are remarkably complex, but nevertheless surprisingly stable in terms of long term persistence of the system as a whole. In order to understand the mechanism driving the complexity and stability of such food webs, we developed an eco-evolutionary model in which new species emerge as modifications of existing ones and dynamic ecological interactions determine which species are viable. The food-web structure thereby emerges from the dynamical interplay between speciation and trophic interactions. The proposed model is less abstract than earlier evolutionary food web models in the sense that all three evolving traits have a clear biological meaning, namely the average body mass of the individuals, the preferred prey body mass, and the width of their potential prey body mass spectrum. We observed networks with a wide range of sizes and structures and high similarity to natural food webs. The model networks exhibit a continuous species turnover, but massive extinction waves that affect more than 50% of the network are not observed.
Issue Date
2015
Status
published
Publisher
Nature Publishing Group
Journal
Scientific Reports 
ISSN
2045-2322
Sponsor
DFG [Dr300/12-1, 13-1]; Leopoldina Fellowship Program [LPDS 2012-07]

Reference

Citations


Social Media