Advent of extreme events in predator populations.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
30 06 2020
Historique:
received: 19 02 2020
accepted: 05 06 2020
entrez: 2 7 2020
pubmed: 2 7 2020
medline: 18 12 2020
Statut: epublish

Résumé

We study the dynamics of a ring of patches with vegetation-prey-predator populations, coupled through interactions of the Lotka-Volterra type. We find that the system yields aperiodic, recurrent and rare explosive bursts of predator density in a few isolated spatial patches from time to time. Further, the global predator biomass also exhibits sudden uncorrelated occurrences of large deviations from the mean as the coupled system evolves. The maximum value of the predator population in a patch, as well as the maximum value of the predator biomass, increases with coupling strength. These trends are further corroborated by fits to Generalized Extreme Value distributions, where the location and scale factor of the distribution increases markedly with coupling strength, indicating the crucial role of coupling interactions in the generation of extreme events. These results indicate how occurrences of extremely large predator populations can emerge in coupled population dynamics, and in a more general context they suggest a generic class of deterministic nonlinear systems that can naturally exhibit extreme events.

Identifiants

pubmed: 32606337
doi: 10.1038/s41598-020-67517-1
pii: 10.1038/s41598-020-67517-1
pmc: PMC7327084
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

10613

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Auteurs

Sudhanshu Shekhar Chaurasia (SS)

Indian Institute of Science Education and Research Mohali, Knowledge City, Sector 81, Manauli, 140306, India.
Indian Institute of Technology, Bombay, Powai, Mumbai, 400076, India.

Umesh Kumar Verma (UK)

Indian Institute of Science Education and Research Mohali, Knowledge City, Sector 81, Manauli, 140306, India.
Indian Institute of Science Education and Research Tirupati, Tirupati, 517507, India.

Sudeshna Sinha (S)

Indian Institute of Science Education and Research Mohali, Knowledge City, Sector 81, Manauli, 140306, India. sudeshna@iisermohali.ac.in.

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