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Stochastic population models with interacting species.

Stochastic population models with interacting species
Authors: DI CRESCENZO, Antonio; GIORNO, Virginia; NOBILE, Amelia Giuseppina; RICCIARDI L. M.;

Stochastic population models with interacting species.

Abstract

A stochastic model concerning the evolution of a multi-species population is presented assuming species competition for a habitat. The model takes into account colonization, death and replacement for all individuals. Two cases are treated: (i) colonizations follow the hierarchic rule by which species of lower rank are always outcompeted by those of higher rank and (ii) there are no privileged species. In both cases, under suitable assumptions, a thorough description of the evolution of the population is obtained. The two models are finally compared and the corresponding evolutionary behaviors of the populations are discussed.

Country
Italy
Keywords

Competitive Behavior, Stochastic Processes, Population models, Ecology, Population Dynamics, Numerical Analysis, Computer-Assisted, replacement, Models, Biological, Demography; Population models; Stochastic model, Species competition, Stochastic model, Population dynamics (general), death, Animals, multi-species population, colonizations, Mathematical Computing, Demography, Signal detection and filtering (aspects of stochastic processes)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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