Méndez, Vicenç.
Stochastic Foundations in Movement Ecology Anomalous Diffusion, Front Propagation and Random Searches / [electronic resource] : by Vicenç Méndez, Daniel Campos, Frederic Bartumeus. - XVII, 310 p. 84 illus., 16 illus. in color. online resource. - Springer Series in Synergetics, 0172-7389 . - Springer Series in Synergetics, .
Elements of Probability Theory -- Introduction to Stochastic Processes -- Microscopic, Mesoscopic and Macroscopic Descriptions of Dispersal- Continuous-Time Random Walks and Anomalous Diffusion -- Reaction-Dispersal Models and Front Propagation -- Stochastic Optimal Foraging Theory -- Cell Motion and Chemotaxis -- Host-Pathogen Interactions -- Biological Invasions -- Random Search in Model Organisms.
This book presents the fundamental theory for non-standard diffusion problems in movement ecology. Lévy processes and anomalous diffusion have shown to be both powerful and useful tools for qualitatively and quantitatively describing a wide variety of spatial population ecological phenomena and dynamics, such as invasion fronts and search strategies. Adopting a self-contained, textbook-style approach, the authors provide the elements of statistical physics and stochastic processes on which the modeling of movement ecology is based and systematically introduce the physical characterization of ecological processes at the microscopic, mesoscopic and macroscopic levels. The explicit definition of these levels and their interrelations is particularly suitable to coping with the broad spectrum of space and time scales involved in bio-ecological problems. Including numerous exercises (with solutions), this text is aimed at graduate students and newcomers in this field at the interface of theoretical ecology, mathematical biology and physics.
9783642390104
10.1007/978-3-642-39010-4 doi
Physics.
Ecology.
Genetics--Mathematics.
Engineering.
Physics.
Socio- and Econophysics, Population and Evolutionary Models.
Theoretical Ecology/Statistics.
Genetics and Population Dynamics.
Complexity.
Complex Systems.
QC1-999
621
Stochastic Foundations in Movement Ecology Anomalous Diffusion, Front Propagation and Random Searches / [electronic resource] : by Vicenç Méndez, Daniel Campos, Frederic Bartumeus. - XVII, 310 p. 84 illus., 16 illus. in color. online resource. - Springer Series in Synergetics, 0172-7389 . - Springer Series in Synergetics, .
Elements of Probability Theory -- Introduction to Stochastic Processes -- Microscopic, Mesoscopic and Macroscopic Descriptions of Dispersal- Continuous-Time Random Walks and Anomalous Diffusion -- Reaction-Dispersal Models and Front Propagation -- Stochastic Optimal Foraging Theory -- Cell Motion and Chemotaxis -- Host-Pathogen Interactions -- Biological Invasions -- Random Search in Model Organisms.
This book presents the fundamental theory for non-standard diffusion problems in movement ecology. Lévy processes and anomalous diffusion have shown to be both powerful and useful tools for qualitatively and quantitatively describing a wide variety of spatial population ecological phenomena and dynamics, such as invasion fronts and search strategies. Adopting a self-contained, textbook-style approach, the authors provide the elements of statistical physics and stochastic processes on which the modeling of movement ecology is based and systematically introduce the physical characterization of ecological processes at the microscopic, mesoscopic and macroscopic levels. The explicit definition of these levels and their interrelations is particularly suitable to coping with the broad spectrum of space and time scales involved in bio-ecological problems. Including numerous exercises (with solutions), this text is aimed at graduate students and newcomers in this field at the interface of theoretical ecology, mathematical biology and physics.
9783642390104
10.1007/978-3-642-39010-4 doi
Physics.
Ecology.
Genetics--Mathematics.
Engineering.
Physics.
Socio- and Econophysics, Population and Evolutionary Models.
Theoretical Ecology/Statistics.
Genetics and Population Dynamics.
Complexity.
Complex Systems.
QC1-999
621