Effect of delay on the emergent stability patterns in generalized Lotka-Volterra ecological dynamics.

delay emergent patterns generalized Lotka–Volterra stability

Journal

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
ISSN: 1471-2962
Titre abrégé: Philos Trans A Math Phys Eng Sci
Pays: England
ID NLM: 101133385

Informations de publication

Date de publication:
11 Jul 2022
Historique:
entrez: 23 5 2022
pubmed: 24 5 2022
medline: 25 5 2022
Statut: ppublish

Résumé

Understanding the conditions of feasibility and stability in ecological systems is a major challenge in theoretical ecology. The seminal work of May in 1972 and recent developments based on the theory of random matrices have shown the existence of emergent universal patterns of both stability and feasibility in ecological dynamics. However, only a few studies have investigated the role of delay coupled with population dynamics in the emergence of feasible and stable states. In this work, we study the effects of delay on generalized Loka-Volterra population dynamics of several interacting species in closed ecological environments. First, we investigate the relation between feasibility and stability of the modelled ecological community in the absence of delay and find a simple analytical relation when intra-species interactions are dominant. We then show how, by increasing the time delay, there is a transition in the stability phases of the population dynamics: from an equilibrium state to a stable non-point attractor phase. We calculate analytically the critical delay of that transition and show that it is in excellent agreement with numerical simulations. Finally, following a similar approach to characterizing stability in empirical studies, we investigate the coefficient of variation, which quantifies the magnitude of population fluctuations. We show that in the oscillatory regime induced by the delay, the variability at community level decreases for increasing diversity. This article is part of the theme issue 'Emergent phenomena in complex physical and socio-technical systems: from cells to societies'.

Identifiants

pubmed: 35599557
doi: 10.1098/rsta.2021.0245
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20210245

Auteurs

Meghdad Saeedian (M)

Dipartimento di Fisica 'G. Galilei', Università di Padova, Via Marzolo 8, 35131 Padova, Italy.
School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.

Emanuele Pigani (E)

Dipartimento di Fisica 'G. Galilei', Università di Padova, Via Marzolo 8, 35131 Padova, Italy.
Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Naples, Italy.

Amos Maritan (A)

Dipartimento di Fisica 'G. Galilei', Università di Padova, Via Marzolo 8, 35131 Padova, Italy.

Samir Suweis (S)

Dipartimento di Fisica 'G. Galilei', Università di Padova, Via Marzolo 8, 35131 Padova, Italy.
Padova Neuroscience Center, University of Padova, Padova, Italy.

Sandro Azaele (S)

Dipartimento di Fisica 'G. Galilei', Università di Padova, Via Marzolo 8, 35131 Padova, Italy.

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