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research article

Landscape and environmental heterogeneity support coexistence in competitive metacommunities

Padmanabha, Prajwal
•
Nicoletti, Giorgio  
•
Bernardi, Davide
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October 29, 2024
Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS)

Metapopulation models have been instrumental in quantifying the ecological impact of landscape structure on the survival of a focal species. However, extensions to multiple species with arbitrary dispersal networks often rely on phenomenological assumptions that inevitably limit their scope. Here, we propose a multilayer network model of competitive dispersing metacommunities to investigate how spatially structured environments impact species coexistence and ecosystem stability. We introduce the concept of landscape-mediated fitness, quantifying how fit a species is in a given environment in terms of colonization and extinction. We show that, when all environments are equivalent, one species excludes all the others—except the marginal case where species fitnesses are in exact trade-off. However, we prove that stable coexistence becomes possible in sufficiently heterogeneous environments by introducing spatial disorder in the model and solving it exactly in the mean-field limit. Crucially, coexistence is supported by the spontaneous localization of species through the emergence of ecological niches. We show that our results remain qualitatively valid in arbitrary dispersal networks, where topological features can improve species coexistence by buffering competition. Finally, we employ our model to study how correlated heterogeneity promotes spatial ecological patterns in realistic terrestrial and riverine landscapes. Our work provides a framework to understand how landscape structure enables coexistence in metacommunities by acting as the substrate for ecological interactions.

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Type
research article
DOI
10.1073/pnas.2410932121
Scopus ID

2-s2.0-85206962719

PubMed ID

39436657

Author(s)
Padmanabha, Prajwal

Università degli Studi di Padova

Nicoletti, Giorgio  

École Polytechnique Fédérale de Lausanne

Bernardi, Davide

Università degli Studi di Padova

Suweis, Samir

Università degli Studi di Padova

Azaele, Sandro

Università degli Studi di Padova

Rinaldo, Andrea  

École Polytechnique Fédérale de Lausanne

Maritan, Amos

Università degli Studi di Padova

Date Issued

2024-10-29

Publisher

National Academy of Sciences

Published in
Proceedings Of The National Academy Of Sciences Of The United States Of America (PNAS)
Volume

121

Issue

44

Article Number

e2410932121

Subjects

dispersal networks

•

landscape structure

•

metapopulation dynamics

•

optimal channel networks

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
ECHO  
FunderFunding(s)Grant NumberGrant URL

Italian MUR

Swiss NSF

CRSII5_186422

Italian Ministry of University and Research

1015

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Available on Infoscience
January 25, 2025
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/244012
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