Spatial self-organization and persistence of transients in a metapopulation model

We extend the analysis of a previously published type of model representing a linear set of habitat fragments each of which supports populations which reproduce in (synchronized) discrete generations. The populations are linked by a dispersal phase which occurs after each reproductive bout. Previously, this model has been shown to produce transient behaviour lasting thousands of generations and characterized by sudden changes in behaviour. We confirm the existence of these effects and characterize the conditions under which they are likely to occur. We also demonstrate that the model predicts organized spatial heterogeneity across the system. This means that the dynamics of the ensemble can be a poor predictor of the behaviour of individual populations, and further, that different populations within the same linked system can experience quantitatively very different dynamics. We also demonstrate that the model predicts that the peripheral populations should be subject to greater temporal variation than the interior. We discuss the appropriateness of the model to a variety of natural systems and the implications of its predictions.

[1]  W. Ditto,et al.  Taming spatiotemporal chaos with disorder , 1995, Nature.

[2]  J. Bascompte,et al.  Rethinking complexity: modelling spatiotemporal dynamics in ecology. , 1995, Trends in ecology & evolution.

[3]  Mark Kot,et al.  Dispersal and Pattern Formation in a Discrete-Time Predator-Prey Model , 1995 .

[4]  Jánosi,et al.  Reply to "Comment on 'Absence of chaos in a self-organized critical coupled map lattice' " , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[5]  Winslow,et al.  Geometric properties of the chaotic saddle responsible for supertransients in spatiotemporal chaotic systems. , 1995, Physical review letters.

[6]  Pejman Rohani,et al.  Host―parasitoid metapopulations : the consequences of parasitoid aggregation on spatial dynamics and searching efficiency , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[7]  Ying-Cheng Lai,et al.  Persistence of supertransients of spatiotemporal chaotic dynamical systems in noisy environment , 1995 .

[8]  A. Lloyd THE COUPLED LOGISTIC MAP : A SIMPLE MODEL FOR THE EFFECTS OF SPATIAL HETEROGENEITY ON POPULATION DYNAMICS , 1995 .

[9]  Michael Doebeli,et al.  DISPERSAL AND DYNAMICS , 1995 .

[10]  Robert M. May,et al.  Species coexistence and self-organizing spatial dynamics , 1994, Nature.

[11]  Graeme D. Ruxton,et al.  Low levels of immigration between chaotic populations can reduce system extinctions by inducing asynchronous regular cycles , 1994, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[12]  P. Grassberger,et al.  Efficient large-scale simulations of a uniformly driven system. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[13]  A. Hastings,et al.  Persistence of Transients in Spatially Structured Ecological Models , 1994, Science.

[14]  M. Doebeli Intermittent chaos in population dynamics. , 1994, Journal of theoretical biology.

[15]  M. Doebeli The evolutionary advantage of controlled chaos , 1993, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[16]  Lewi Stone,et al.  Period-doubling reversals and chaos in simple ecological models , 1993, Nature.

[17]  W. Schaffer,et al.  Chaos reduces species extinction by amplifying local population noise , 1993, Nature.

[18]  Alan Hastings,et al.  Complex interactions between dispersal and dynamics: Lessons from coupled logistic equations , 1993 .

[19]  John Vandermeer,et al.  Loose Coupling of Predator-Prey Cycles: Entrainment, Chaos, and Intermittency in the Classic Macarthur Consumer-Resource Equations , 1993, The American Naturalist.

[20]  José Luis González-Andújar,et al.  Chaos, metapopulations and dispersal , 1993 .

[21]  H. McCallum,et al.  Effects of immigration on chaotic population dynamics , 1992 .

[22]  H. B. Wilson,et al.  Chaotic stochasticity: a ubiquitous source of unpredictability in epidemics , 1991, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[23]  Michael P. Hassell,et al.  Spatial structure and chaos in insect population dynamics , 1991, Nature.

[24]  P. Kareiva Population dynamics in spatially complex environments: theory and data , 1990 .

[25]  Kunihiko Kaneko,et al.  Spatiotemporal chaos in one-and two-dimensional coupled map lattices , 1989 .

[26]  T. Bellows The Descriptive Properties of Some Models for Density Dependence , 1981 .

[27]  J. Maynard Smith,et al.  The Stability of Predator‐Prey Systems , 1973 .

[28]  C. Huffaker Experimental studies on predation : dispersion factors and predator-prey oscillations , 1958 .

[29]  Maurice W. Sabelis,et al.  Why does space matter? In a spatial world it is hard to see the forest before the trees , 1995 .

[30]  D. Tilman Competition and Biodiversity in Spatially Structured Habitats , 1994 .

[31]  M. Hassell,et al.  Environmental heterogeneity and the stability of host-parasitoid interactions , 1993 .

[32]  Ilkka Hanski,et al.  Metapopulation dynamics : empirical and theoretical investigations , 1991 .