In today’s dynamic field of biology, understanding complex systems often demands more than traditional methods. In A Biologist's Guide to Mathematical Modeling in Ecology and Evolution, Sarah P. Otto and Troy Day equip students with the tools needed to grasp and apply mathematical models. Designed for readers with a background in high school mathematics and first-year calculus, the book builds from the basics to progressively more sophisticated concepts. The authors lead you through classical ecological and evolutionary models before exploring intricate class-structured and probabilistic frameworks. Along the way, instructive primers and exercises introduce key topics such as linear algebra and probability theory, demonstrating how these mathematical techniques illuminate issues ranging from disease spread to speciation and extinction. This indispensable guide offers clear, step-by-step approaches to developing and analyzing models, ensuring that emerging biologists have a solid foundation in both theory and practical application.
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