Predicting Persistence: Population Models for Conservation

With examples and exercises in R

How long will a population persist, and why do some populations go extinct while others survive? 'Predicting Persistence' will help you to get a grasp of the fundamental aspects of the theory underlying these questions, and it will show you how to simulate them with the programming language R.

Jacob Koella

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How long will a population persist, and why do some populations go extinct while others survive? Predicting Persistence provides a clear and accessible introduction to the theoretical foundations that underpin these questions. Focusing on population models of persistence and extinction, the book explains key concepts in a rigorous yet intuitive way. Readers are guided step by step from theory to practice, learning how to implement and explore these models through simulation using the R programming language. Designed for students, researchers, and practitioners, Predicting Persistence equips readers with both conceptual understanding and practical tools for analyzing population persistence in an uncertain world.

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Using basic models in conservation biology

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About the Author

Jacob Koella

Jacob Koella is a professor of evolutionary biology and parasitology at the University of Neuchatel in Switzerland.

With the equivalent of Master's degree in mechanical engineering (specialising in systems dynamics), a Phd in evolutionary ecology and several years experience working on the epidemiology of malaria in Tanzania, he conducts a considerable part of his research on mathematical theory combining the epidemiology and evolutionary ecology of parasites.

He teaches courses on mathematical modelling, parasitology and evolutionary ecology at the University of Neuchatel and at the ETH Zurich.

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