Skip to main content
SpringerLink
Log in

Data-driven Modelling of Structured Populations

A Practical Guide to the Integral Projection Model

  • Book
  • © 2016

Overview

Authors:
  1. Stephen P. Ellner

    1. Ecology & Evolutionary Biology, Cornell University, Corson Hall, Ithaca, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. Dylan Z. Childs

    1. Animal and Plant Sciences, University of Sheffield, Yorkshire, United Kingdom

    View author publications

    You can also search for this author in PubMed   Google Scholar

  3. Mark Rees

    1. Animal Plant and Sciences, University of Sheffield, Yorkshire, United Kingdom

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • The only comprehensive monograph on Integral Projection Models in ecology
  • Accessible to beginners with minimal math and statistics background, but also includes cutting-edge research
  • Presents a wide range of models, from simple to complex
  • All steps are illustrated in the text by code in the open-source R language
  • Complete code for all analyses and results provided online via GitHub
  • Includes supplementary material: sn.pub/extras

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 29.99 USD 59.99
50% discount Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 39.99 USD 79.99
50% discount Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introduction

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 1-8

  3. Simple Deterministic IPM

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 9-56

  4. Basic Analyses 1: Demographic Measures and Events in the Life Cycle

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 57-85

  5. Basic Analyses 2: Prospective Perturbation Analysis

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 87-109

  6. Density Dependence

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 111-138

  7. General Deterministic IPM

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 139-185

  8. Environmental Stochasticity

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 187-227

  9. Spatial Models

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 229-254

  10. Evolutionary Demography

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 255-282

  11. Future Directions and Advanced Topics

    • Stephen P. Ellner, Dylan Z. Childs, Mark Rees
    Pages 283-314

  12. Back Matter

    Pages 315-329
    Download chapter PDF
Back to top

Keywords

About this book

This book is a “How To” guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a leading research team in this area and includes code in the R language (in the text and online) to carry out all computations. The intended audience are ecologists, evolutionary biologists, and mathematical biologists interested in developing data-driven models for animal and plant populations. IPMs may seem hard as they involve integrals. The aim of this book is to demystify IPMs, so they become the model of choice for populations structured by size or other continuously varying traits. The book uses real examples of increasing complexity to show how the life-cycle of the study organism naturally leads to the appropriate statistical analysis, which leads directly to the IPM itself. A wide range of model types and analyses are presented, including model construction, computational methods, and the underlying theory, with the more technical material in Boxes and Appendices. Self-contained R code which replicates all of the figures and calculations within the text is available to readers on GitHub.

Stephen P. Ellner is Horace White Professor of Ecology and Evolutionary Biology at Cornell University, USA; Dylan Z. Childs is Lecturer and NERC Postdoctoral Fellow in the Department of Animal and Plant Sciences at The University of Sheffield, UK; Mark Rees is Professor in the Department of Animal and Plant Sciences at The University of Sheffield, UK.



Authors and Affiliations

  • Ecology & Evolutionary Biology, Cornell University, Corson Hall, Ithaca, USA

    Stephen P. Ellner

  • Animal and Plant Sciences, University of Sheffield, Yorkshire, United Kingdom

    Dylan Z. Childs

  • Animal Plant and Sciences, University of Sheffield, Yorkshire, United Kingdom

    Mark Rees

About the authors

Stephen Ellner is a Horace White Professor of EEB at Cornell University, Department of Ecology and Evolutionary Biology. His general interests are in theoretical population biology and evolutionary ecology.

Dylan Childs is an NERC Postdoctoral Fellow at the University of Sheffield. His key research interests include life history theory, evolutionary demography, structured population modeling, and host-parasite dynamics. 

Mark Rees is a Professor in the Department of Animal and Plant Sciences at the University of Sheffield. His key research interests include evolution of plant reproductive strategies, modeling and management strategies for weed populations, population biology of invasive plants, and modeling structured populations using integral projection models.

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation