Journal article

+ 1 other files

The feasibility of equilibria in large ecosystems: A primary but neglected concept in the complexity-stability debate

  • Dougoud, Michaël Department of Mathematics, University of Fribourg, Switzerland
  • Vinckenbosch, Laura Department of Mathematics, University of Fribourg, Switzerland - University of Applied Sciences, Western Switzerland - HES-SO, Yverdon-les-Bains, Switzerland
  • Rohr, Rudolf P. Department of Biology, Unit of Ecology and Evolution, University of Fribourg, Switzerland
  • Bersier, Louis-Félix Department of Biology, Unit of Ecology and Evolution, University of Fribourg, Switzerland
  • Mazza, Christian Department of Mathematics, University of Fribourg, Switzerland
Show more…
    08.02.2018
Published in:
  • PLOS Computational Biology. - 2018, vol. 14, no. 2, p. e1005988
English The consensus that complexity begets stability in ecosystems was challenged in the seventies, a result recently extended to ecologically-inspired networks. The approaches assume the existence of a feasible equilibrium, i.e. with positive abundances. However, this key assumption has not been tested. We provide analytical results complemented by simulations which show that equilibrium feasibility vanishes in species rich systems. This result leaves us in the uncomfortable situation in which the existence of a feasible equilibrium assumed in local stability criteria is far from granted. We extend our analyses by changing interaction structure and intensity, and find that feasibility and stability is warranted irrespective of species richness with weak interactions. Interestingly, we find that the dynamical behaviour of ecologically inspired architectures is very different and richer than that of unstructured systems. Our results suggest that a general understanding of ecosystem dynamics requires focusing on the interplay between interaction strength and network architecture.
Faculty
Faculté des sciences et de médecine
Department
Département de Biologie, Département de Mathématiques
Language
  • English
Classification
Biological sciences
License
License undefined
Identifiers
Persistent URL
https://folia.unifr.ch/unifr/documents/306439
Other files

Statistics

Document views: 19 File downloads:
  • ber_fel.pdf: 53
  • ber_fel_sm.pdf: 21