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Stability of Rosenzweig–MacArthur models with non-diffusive dispersal on non-regular networks

Kon, R and Kumar, D (2023) Stability of Rosenzweig–MacArthur models with non-diffusive dispersal on non-regular networks. In: Theoretical Population Biology, 150 . pp. 14-22.

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Official URL: https://doi.org/10.1016/j.tpb.2023.02.002

Abstract

This paper examines the stability of the Rosenzweig–MacArthur model distributed to identical discrete habitat patches. Migration between patches is assumed to follow the non-diffusive rule that individuals have a fixed rate of leaving their local habitat patch and migrating to another. Under this non-diffusive migration rule, we found that population dispersal on a non-regular and connected habitat network can both stabilize and destabilize the Rosenzweig–MacArthur model. It is also shown that our non-diffusive migration rule apparently becomes diffusive if the habitat network is regular.

Item Type: Journal Article
Publication: Theoretical Population Biology
Publisher: Academic Press Inc.
Additional Information: The copyright for this article belongs to Academic Press Inc.
Keywords: dispersal; ecological modeling; migration; perturbation; population dynamics; stability analysis
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 03 Apr 2023 10:04
Last Modified: 03 Apr 2023 10:04
URI: https://eprints.iisc.ac.in/id/eprint/81151

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