rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Spatiotemporal patterns in ecology and epidemiology
    sub title: theory, models, and simulation
  title info:
    title: MATHnetBASE
  name:
    name part: Malchow, Horst
    name part: 1953-
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Petrovskii, Sergei V.
    role:
      role term: author.
  name:
    name part: Venturino, Ezio
    role:
      role term: author.
  name:
    name part: Taylor & Francis
  name:
    name part: Taylor and Francis
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2008
    copyright date: 2007
    edition: First edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (464 pages) : 183 illustrations.
  abstract: Although the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped. Going beyond the classical Turing scenario of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology: Theory, Models, and Simulation illustrates how mathematical modeling and numerical simulations can lead to greater understanding of these issues. It takes a unified approach to population dynamics and epidemiology by presenting several ecoepidemiological models where both the basic interspecies interactions of population dynamics and the impact of an infectious disease are explicitly considered. The book first describes relevant phenomena in ecology and epidemiology, provides examples of pattern formation in natural systems, and summarizes existing modeling approaches. The authors then explore nonspatial models of population dynamics and epidemiology. They present the main scenarios of spatial and spatiotemporal pattern formation in deterministic models of population dynamics. The book also addresses the interaction between deterministic and stochastic processes in ecosystem and epidemic dynamics, discusses the corresponding modeling approaches, and examines how noise and stochasticity affect pattern formation. 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.
  table of contents: part I Introduction -- chapter 1 Ecological patterns in time and space -- chapter 2 An overview of modeling approaches -- part II Models of temporal dynamics -- chapter 3 Classical one population models -- chapter 4 Interacting populations -- chapter 5 Case study: biological pest control in vineyards -- chapter 6 Epidemic models -- chapter 7 Ecoepidemic systems -- part III Spatiotemporal dynamics and pattern formation: deterministic approach -- chapter 8 Spatial aspect: diffusion as a paradigm -- chapter 9 Instabilities and dissipative structures -- chapter 10 Patterns in the wake of invasion -- chapter 11 Biological turbulence -- chapter 12 Patchy invasion -- part IV Spatiotemporal patterns and noise -- chapter 13 Generic model of stochastic population dynamics -- chapter 14 Noise-induced pattern transitions -- chapter 15 Epidemic spread in a stochastic environment -- chapter 16 Noise-induced pattern formation.
  note: by Horst Malchow, Sergei V. Petrovskii and Ezio Venturino.
  subject:
    topic: Ecology
    topic: Mathematical models
  subject:
    topic: Epidemiology
    topic: Mathematical models
  subject:
    topic: Mathematisches Modell
  subject:
    topic: Modell
  subject:
    topic: MEDICAL / Epidemiology
  subject:
    topic: NATURE / Ecology
  classification: QH541.15.M3
  classification: 577.01/5118
  related item:
    identifier: (DLC) 2007040410
  related item:
    title info:
      title: Chapman & Hall/CRC Mathematical and Computational Biology
  identifier: 9780429178214
  identifier: 9781584886747
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: FlBoTFG
    record creation date: 180706
    record change date: 20220613175852.9
    record identifier: in00004581349