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The feasibility of equilibria in large ecosystems: A primary but neglected concept in the complexity-stability debate.
Dougoud, Michaël; Vinckenbosch, Laura; Rohr, Rudolf P; Bersier, Louis-Félix; Mazza, Christian.
Afiliación
  • Dougoud M; Department of Mathematics, University of Fribourg, Fribourg, Switzerland.
  • Vinckenbosch L; Department of Mathematics, University of Fribourg, Fribourg, Switzerland.
  • Rohr RP; University of Applied Sciences Western Switzerland - HES-SO, Yverdon-les-Bains, Switzerland.
  • Bersier LF; Department of Biology, Unit of Ecology and Evolution, University of Fribourg, Fribourg, Switzerland.
  • Mazza C; Department of Biology, Unit of Ecology and Evolution, University of Fribourg, Fribourg, Switzerland.
PLoS Comput Biol ; 14(2): e1005988, 2018 02.
Article en En | MEDLINE | ID: mdl-29420532
ABSTRACT
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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ecosistema / Cadena Alimentaria Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Suiza

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Ecosistema / Cadena Alimentaria Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals Idioma: En Revista: PLoS Comput Biol Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Suiza