TAILIEUCHUNG - Spatial Ecology via Reaction-Diffusion Equations

The “origin of this species” lies in the pages of the journal Biometrika and precedes the birth of either of the authors. There, in his remarkable landmark 1951 paper “Random dispersal in theoretical populations,” . Skellam made a number of observations that have profoundly affected the study of spatial ecology. First, he made the connection between random walks as a description of movement at the scale of individual members of some theoretical biological species and the diffusion equation as a description of dispersal of the organism at the scale of the species’ population density, and demonstrated the plausibility of the connection in the case of small animals. | WILEY SERIES IN MATHEMATICAL AND COMPUTATIONAL BIOLOGY EDITOR-IN-CHIEF USA Spatial Ecology via Reaction-Diffusion Equations Spatial Ecology via Reaction-Diffusion Equations Spatial Ecology via Reaction-Diffusion Equations . Cantrell and C. Cosner 2003 John Wiley Sons Ltd. ISBN 0-471-49301-5 Wiley Series in Mathematical and Computational Biology Editor-in-Chief Simon Levin Department of Ecology and Evolutionary Biology Princeton University USA Associate Editors Zvia Agur Tel-Aviv University Israel Odo Diekmann University of Utrecht The Netherlands Marcus Feldman Stanford University USA Bryan Grenfell Cambridge University UK Philip Maini Oxford University UK Martin Nowak Oxford University UK Karl Sigmund University of Vienna Austria BURGER The Mathematical Theory of Selection Recombination and Mutation CHAPLAIN SINGH McLACHLAN On Growth and Form Spatio-temporal Pattern Formation in Biology CHRISTIANSEN Population Genetics of Multiple Loci CLOTE BACKOFEN Computational Molecular Biology An Introduction DIEKMANN HEESTERBEEK Mathematical Epidemiology of Infectious Diseases Model Building Analysis and Interpretation CANTRELL COSNER-Spatial Ecology via Reaction-Diffusion Equations Reflecting the rapidly gorwing interest and research in the field of mathematical biology this outstanding new book series examines the integration of mathematical and computational methods into biological work. It also encourages the advancement of theoretical and quantitative approaches to biology and the development of biological organization and function. The scope of the series is broad ranging from molecular structure and processes to the dynamics of ecosystems and the biosphere but unified through evolutionary and physical principles and the interplay of processes across scales of biological organization. Topics to be covered in the series include Cell and molecular biology Functional morphology and physiology Neurobiology and higher function Genetics Immunology .

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