Literature DB >> 17289098

On the importance of dimensionality of space in models of space-mediated population persistence.

Andrew Morozov1, Bai-Lian Li.   

Abstract

Spatially explicit models have become widely used in today's mathematical ecology to study persistence of populations. For the sake of simplicity, population dynamics is often analyzed with 1-D models. An important question is: how adequate is such 1-D simplification of 2-D (or 3-D) dynamics for predicting species persistence. Here we show that dimensionality of the environment can play a critical role in the persistence of predator-prey interactions. We consider 1-D and 2-D dynamics of a predator-prey model with the prey growth damped by the Allee effect. We show that adding a second space coordinate into the 1-D model results in a pronounced increase of size of the domain in the parametric space where predator-prey coexistence becomes possible. This result is due to the possibility of formation of a number of 2-D patterns, which is impossible in the 1-D model. The 1-D and the 2-D models exhibit different qualitative responses to variations of system parameters. We show that in ecosystems having a narrow width (e.g. mountain valleys, vegetation patterns along canals in dry areas, etc.), extinction of species is more probable compared to ecosystems having a pronounced second dimension. In particular, the width of a long narrow natural reserve should be large enough to guarantee nonextinction of species via interaction of 2-D population patches.

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Year:  2006        PMID: 17289098     DOI: 10.1016/j.tpb.2006.12.005

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  1 in total

1.  Revealing new dynamical patterns in a reaction-diffusion model with cyclic competition via a novel computational framework.

Authors:  A Cangiani; E H Georgoulis; A Yu Morozov; O J Sutton
Journal:  Proc Math Phys Eng Sci       Date:  2018-05-23       Impact factor: 2.704

  1 in total

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