Using basic models in conservation biology
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Using basic models in conservation biology

Simulating stochastic ecological models with R

About the Book

Being able to understand and predict the ecological consequences of environmental change and of different management strategies is a critical part of conservation science. That makes quantitative ecological models an indispensable part of conservation science, an indispensable tool to make sense of the ecological data underlying conservation. Yet, there is still a wide gap between 'applied' conservation biologists and theoretical modellers.

This book will help to narrow this gap by functioning as a tutorial to understand and model some important ecological fundamentals. In particular, it will focus on the stochastic processes that govern the dynamics of small populations. Using this book, you will learn how to model simple ecological dynamics and to program your models with R, a software package that is becoming the standard in academic research.

About the Author

Jacob Koella
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.

Table of Contents

  • Introduction
  • First models
  • Age- and stage-structured models
  • Basics of conservation genetics
  • Spatial structure
  • Epilogue
  • About the author
  • Appendix 1: Introduction to R as a programming language
  • Appendix 2: Published models in conservation biology
  • Notes

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