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The Mathematics Behind Biological Invasions (Hardcover, 1st ed. 2016): Mark A. Lewis, Sergei V. Petrovskii, Jonathan R Potts The Mathematics Behind Biological Invasions (Hardcover, 1st ed. 2016)
Mark A. Lewis, Sergei V. Petrovskii, Jonathan R Potts
R2,885 Discovery Miles 28 850 Ships in 12 - 17 working days

This book investigates the mathematical analysis of biological invasions. Unlike purely qualitative treatments of ecology, it draws on mathematical theory and methods, equipping the reader with sharp tools and rigorous methodology. Subjects include invasion dynamics, species interactions, population spread, long-distance dispersal, stochastic effects, risk analysis, and optimal responses to invaders. While based on the theory of dynamical systems, including partial differential equations and integrodifference equations, the book also draws on information theory, machine learning, Monte Carlo methods, optimal control, statistics, and stochastic processes. Applications to real biological invasions are included throughout. Ultimately, the book imparts a powerful principle: that by bringing ecology and mathematics together, researchers can uncover new understanding of, and effective response strategies to, biological invasions. It is suitable for graduate students and established researchers in mathematical ecology.

The Mathematics Behind Biological Invasions (Paperback, Softcover reprint of the original 1st ed. 2016): Mark A. Lewis, Sergei... The Mathematics Behind Biological Invasions (Paperback, Softcover reprint of the original 1st ed. 2016)
Mark A. Lewis, Sergei V. Petrovskii, Jonathan R Potts
R1,778 Discovery Miles 17 780 Ships in 10 - 15 working days

This book investigates the mathematical analysis of biological invasions. Unlike purely qualitative treatments of ecology, it draws on mathematical theory and methods, equipping the reader with sharp tools and rigorous methodology. Subjects include invasion dynamics, species interactions, population spread, long-distance dispersal, stochastic effects, risk analysis, and optimal responses to invaders. While based on the theory of dynamical systems, including partial differential equations and integrodifference equations, the book also draws on information theory, machine learning, Monte Carlo methods, optimal control, statistics, and stochastic processes. Applications to real biological invasions are included throughout. Ultimately, the book imparts a powerful principle: that by bringing ecology and mathematics together, researchers can uncover new understanding of, and effective response strategies to, biological invasions. It is suitable for graduate students and established researchers in mathematical ecology.

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