Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/3207
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dc.contributor.authorChaurasia, S.S.-
dc.contributor.authorVerma, U.K.-
dc.contributor.authorSinha, Sudeshna-
dc.date.accessioned2020-12-18T06:41:51Z-
dc.date.available2020-12-18T06:41:51Z-
dc.date.issued2020-
dc.identifier.citationScientific Reports, 10(1)en_US
dc.identifier.other10.1038/s41598-020-67517-1-
dc.identifier.urihttps://www.nature.com/articles/s41598-020-67517-1-
dc.identifier.urihttp://hdl.handle.net/123456789/3207-
dc.description.abstractWe 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 eventsen_US
dc.language.isoen_USen_US
dc.publisherNature Researchen_US
dc.subjectPredator populationsen_US
dc.subjectLotka–Volterraen_US
dc.subjectAperiodicen_US
dc.titleAdvent of extreme events in predator populationsen_US
dc.typeArticleen_US
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