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Using basic models in conservation biology

Simulating stochastic ecological models with R

Understanding the dynamics of populations is indispensable for conservation biologists. 'Using basic models in conservation biology' will help you to get a grasp of the fundamentals, and it will show you how to use and develop these aspects with the programming language R.

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About

About

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.

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Author

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.

Contents

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

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