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  • 1
    Keywords: Ecology-Mathematical models. ; Epidemiology-Mathematical models. ; Electronic books.
    Description / Table of Contents: Reviewing the significant progress made in understanding spatiotemporal patterning in ecological and epidemiological systems, this resource shows that mathematical modeling and numerical simulations are effective tools in the study of population ecology and epidemiology. It takes a unified approach to population dynamics and epidemiology by present.
    Type of Medium: Online Resource
    Pages: 1 online resource (470 pages)
    Edition: 1st ed.
    ISBN: 9781482286137
    Series Statement: Chapman and Hall/CRC Mathematical Biology Series
    DDC: 577.015118
    Language: English
    Note: Cover -- Half Title -- Title Page -- Copyright Page -- Original Title Page -- Dedication Page -- Supplementary Resources Disclaimer -- Preface -- Table of Contents -- I Introduction -- 1 Ecological patterns in time and space -- 1.1 Local structures -- 1.2 Spatial and spatiotemporal structures -- 2 An overview of modeling approaches -- II Models of temporal dynamics -- 3 Classical one population models -- 3.1 Isolated populations models -- 3.1.1 Scaling -- 3.2 Migration models -- 3.2.1 Harvesting -- 3.3 Glance at discrete models -- 3.4 Peek into chaos -- 4 Interacting populations -- 4.1 Two-species prey-predator population model -- 4.2 Classical Lotka-Volterra model -- 4.2.1 More on prey-predator models -- 4.2.2 Scaling -- 4.3 Other types of population communities -- 4.3.1 Competing populations -- 4.3.2 Symbiotic populations -- 4.3.3 Leslie-Gower model -- 4.3.4 Classical Holling-Tanner model -- 4.3.5 Other growth models -- 4.3.6 Models with prey switching -- 4.4 Global stability -- 4.4.1 General quadratic prey-predator system -- 4.4.2 Mathematical tools for analyzing limit cycles -- 4.4.3 Routh-Hurwitz conditions -- 4.4.4 Criterion for Hopf bifurcation -- 4.4.5 Instructive example -- 4.4.6 Poincaré map -- 4.5 Food web -- 4.6 More about chaos -- 4.7 Age-dependent populations -- 4.7.1 Prey-predator, age-dependent populations -- 4.7.2 More about age-dependent populations -- 4.7.3 Simulations and brief discussion -- 5 Case study: biological pest control in vineyards -- 5.1 First model -- 5.1.1 Modeling the human activity -- 5.2 More sophisticated model -- 5.2.1 Models comparison -- 5.3 Modeling the ballooning effect -- 5.3.1 Spraying effects and human intervention -- 5.3.2 Ecological discussion -- 6 Epidemic models -- 6.1 Basic epidemic models -- 6.1.1 Simplest models -- 6.1.2 Standard incidence -- 6.2 Other classical epidemic models. , 6.3 Age- and stage-dependent epidemic system -- 6.4 Case study: Aujeszky disease -- 6.5 Analysis of a disease with two states -- 7 Ecoepidemic systems -- 7.1 Prey-diseased-predator interactions -- 7.1.1 Some biological considerations -- 7.2 Predator-diseased-prey interactions -- 7.3 Diseased competing species models -- 7.3.1 Simulation discussion -- 7.4 Ecoepidemics models of symbiotic communities -- 7.4.1 Disease effects on the symbiotic system -- 7.4.2 Disease control by use of a symbiotic species -- III Spatiotemporal dynamics and pattern formation: deterministic approach -- 8 Spatial aspect: diffusion as a paradigm -- 9 Instabilities and dissipative structures -- 9.1 Turing patterns -- 9.1.1 Turing patterns in a multispecies system -- 9.2 Differential flow instability -- 9.3 Ecological example: semiarid vegetation patterns -- 9.3.1 Pattern formation due to nonlocal interactions -- 9.4 Concluding remarks -- 10 Patterns in the wake of invasion -- 10.1 Invasion in a prey-predator system -- 10.2 Dynamical stabilization of an unstable equilibrium -- 10.2.1 A bifurcation approach -- 10.2.2 Comparison of wave speeds -- 10.3 Patterns in a competing species community -- 10.4 Concluding remarks -- 11 Biological turbulence -- 11.1 Self-organized patchiness and the wave of chaos -- 11.1.1 Stability diagram and the hierarchy of regimes -- 11.1.2 Patchiness in a two-dimensional case -- 11.2 Spatial structure and spatial correlations -- 11.2.1 Intrinsic lengths and scaling -- 11.3 Ecological implications -- 11.3.1 Plankton patchiness on a biological scale -- 11.3.2 Self-organized patchiness, desynchronization, and the paradox of enrichment -- 11.4 Concluding remarks -- 12 Patchy invasion -- 12.1 Allee effect, biological control, and one-dimensional patterns of species invasion -- 12.1.1 Patterns of species spread. , 12.2 Invasion and control in the two-dimensional case -- 12.2.1 Properties of the patchy invasion -- 12.3 Biological control through infectious diseases -- 12.3.1 Patchy spread in SIR model -- 12.4 Concluding remarks -- IV Spatiotemporal patterns and noise -- 13 Generic model of stochastic population dynamics -- 14 Noise-induced pattern transitions -- 14.1 Transitions in a patchy environment -- 14.1.1 No noise -- 14.1.2 Noise-induced pattern transition -- 14.2 Transitions in a uniform environment -- 14.2.1 Standing waves driven by noise -- 15 Epidemic spread in a stochastic environment -- 15.1 Model -- 15.2 Strange periodic attractors in the lytic regime -- 15.3 Local dynamics in the lysogenic regime -- 15.4 Deterministic and stochastic spatial dynamics -- 15.5 Local dynamics with deterministic switch from lysogeny to lysis -- 15.6 Spatiotemporal dynamics with switches from lysogeny to lysis -- 15.6.1 Deterministic switching from lysogeny to lysis -- 15.6.2 Stochastic switching -- 16 Noise-induced pattern formation -- References -- Index.
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  • 2
    Electronic Resource
    Electronic Resource
    [s.l.] : Macmillian Magazines Ltd.
    Nature 435 (2005), S. 1226-1229 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Discovering why natural population densities change over time and vary with location is a central goal of ecological and evolutional disciplines. The recognition that even simple ecological systems can undergo chaotic behaviour has made chaos a topic of considerable interest among theoretical ...
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Environmental modeling and assessment 2 (1997), S. 43-48 
    ISSN: 1573-2967
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The dynamic behaviour of a model plankton community is described by solutions of a generalized predator‐prey model. The qualitative changes due to variations of parameters are considered and the existence of multistability and catastrophic behaviour is noted. Local and global bifurcations of the system are displayed. A seasonal variation of a parameter is introduced and the resulting dynamics are considered, such as quasiperiodic solutions or chaotic attractors.
    Type of Medium: Electronic Resource
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