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The geometry of evolved community matrix spectra

Abstract

Random matrix theory has been applied to food web stability for decades, implying elliptical eigenvalue spectra and that large food webs should be unstable. Here we allow feasible food webs to self-assemble within an evolutionary process, using simple Lotka–Volterra equations and several elementary interaction types. We show that, as complex food webs evolve under 105 invasion attempts, the community matrix spectra become bi-modal, rather than falling onto elliptical geometries. Our results raise questions as to the applicability of random matrix theory to the analysis of food web steady states.

Cite this activity

Låstad S.B. and Härter J. (2022) The geometry of evolved community matrix spectra. Scientific Reports 12(1). 10.1038/s41598-022-17379-6

Details

Research topics
Date 29.08.2022
Journal Scientific Reports
Issue 1
Volume 12
Open Access Open Access (open)
Open Access Status Open Access (open)
Eprints_link https://cris.leibniz-zmt.de/id/eprint/5036
Peer-Reviewed

Research Spectrum

Agricultural and Biological Sciences

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