The mathematics behind biological invasions

• 作者： Lewis, Mark A., author.
• 其他作者：
  • Petrovskii, Sergei V., author.
  • Potts, Jonathan R., author.
  • SpringerLink (Online service)
• 其他題名：
  • Interdisciplinary applied mathematics ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Interdisciplinary applied mathematics,volume 44
• 主題： Biological invasions--Mathematical models. , Mathematics. , Mathematical and Computational Biology. , Statistics for Life Sciences, Medicine, Health Sciences. , Genetics and Population Dynamics. , Dynamical Systems and Ergodic Theory. , Partial Differential Equations.
• ISBN： 9783319320434 (electronic bk.) 、 9783319320427 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- Dynamics of Biological Invasions -- Reaction-Diffusion Models: Single Species -- Invasion in a Multispecies System -- Long-Distance Dispersal and Spread -- A User's Guide to Integrodifference Models for Invasive Spread -- Stochasticity and Invasion Dynamics -- Stochastic Spread -- Assessing Invasion Risk -- Responding to invasions: Detection, control, and adaptation -- Appendix -- References -- Index.
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• 摘要註: 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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