Generalized Lotka-Volterra Systems with Time Correlated Stochastic Interactions.


Journal

Physical review letters
ISSN: 1079-7114
Titre abrégé: Phys Rev Lett
Pays: United States
ID NLM: 0401141

Informations de publication

Date de publication:
18 Oct 2024
Historique:
received: 28 07 2023
revised: 19 02 2024
accepted: 30 08 2024
medline: 1 11 2024
pubmed: 1 11 2024
entrez: 1 11 2024
Statut: ppublish

Résumé

In this Letter, we explore the dynamics of species abundances within ecological communities using the generalized Lotka-Volterra (GLV) model. At variance with previous approaches, we present an analysis of GLV dynamics with temporal stochastic fluctuations in interaction strengths between species. We develop a dynamical mean field theory (DMFT) tailored for scenarios with colored noise interactions, which we term annealed disorder, and simple functional responses. Our DMFT framework enables us to show that annealed disorder acts as an effective environmental noise; i.e., every species experiences a time-dependent environment shaped by the collective presence of all other species. We then derive analytical predictions for the species abundance distribution that well match empirical observations. Our results suggest that annealed disorder in interaction strengths favors species coexistence and leads to a large pool of very rare species in the systems, supporting the insurance theory of biodiversity. This Letter offers new insights not only into the modeling of large ecosystem dynamics but also proposes novel methodologies for examining ecological systems.

Identifiants

pubmed: 39485958
doi: 10.1103/PhysRevLett.133.167101
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

167101

Auteurs

Samir Suweis (S)

Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", <a href="https://ror.org/00240q980">University of Padova</a>, Padova, Italy.
<a href="https://ror.org/00z34yn88">INFN</a>, Sezione di Padova, via Marzolo 8, Padova 35131, Italy.
Padova Neuroscience Center, <a href="https://ror.org/00240q980">University of Padova</a>, Padova, Italy.

Francesco Ferraro (F)

Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", <a href="https://ror.org/00240q980">University of Padova</a>, Padova, Italy.
<a href="https://ror.org/00z34yn88">INFN</a>, Sezione di Padova, via Marzolo 8, Padova 35131, Italy.
National Biodiversity Future Center, Piazza Marina 61, 90133 Palermo, Italy.

Christian Grilletta (C)

Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", <a href="https://ror.org/00240q980">University of Padova</a>, Padova, Italy.

Sandro Azaele (S)

Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", <a href="https://ror.org/00240q980">University of Padova</a>, Padova, Italy.
<a href="https://ror.org/00z34yn88">INFN</a>, Sezione di Padova, via Marzolo 8, Padova 35131, Italy.
National Biodiversity Future Center, Piazza Marina 61, 90133 Palermo, Italy.

Amos Maritan (A)

Laboratory of Interdisciplinary Physics, Department of Physics and Astronomy "G. Galilei", <a href="https://ror.org/00240q980">University of Padova</a>, Padova, Italy.
<a href="https://ror.org/00z34yn88">INFN</a>, Sezione di Padova, via Marzolo 8, Padova 35131, Italy.
National Biodiversity Future Center, Piazza Marina 61, 90133 Palermo, Italy.

Classifications MeSH