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Ecological and Evolutionary Modelling

  • Cang Hui
  • Pietro Landi
  • Henintsoa Onivola Minoarivelo
  • Andriamihaja Ramanantoanina

Part of the SpringerBriefs in Ecology book series (BRIEFSECOLOGY)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Cang Hui, Pietro Landi, Henintsoa Onivola Minoarivelo, Andriamihaja Ramanantoanina
    Pages 1-24
  3. Cang Hui, Pietro Landi, Henintsoa Onivola Minoarivelo, Andriamihaja Ramanantoanina
    Pages 25-40
  4. Cang Hui, Pietro Landi, Henintsoa Onivola Minoarivelo, Andriamihaja Ramanantoanina
    Pages 41-60
  5. Cang Hui, Pietro Landi, Henintsoa Onivola Minoarivelo, Andriamihaja Ramanantoanina
    Pages 61-83
  6. Back Matter
    Pages 85-86

About this book

Introduction

Ecology studies biodiversity in its variety and complexity. It describes how species distribute and perform in response to environmental changes. Ecological processes and structures are highly complex and adaptive. In order to quantify emerging ecological patterns and investigate their hidden mechanisms, we need to rely on the simplicity of mathematical language. Ecological patterns are emerging structures observed in populations, communities and ecosystems. Elucidating drivers behind ecological patterns can greatly improve our knowledge of how ecosystems assemble, function and respond to change and perturbation. Mathematical ecology has, thus, become an important interdisciplinary research field that can provide answers to complex global issues, such as climate change and biological invasions.

The aim of this book is to (i) introduce key concepts in ecology and evolution, (ii) explain classic and recent important mathematical models for investigating ecological and evolutionary dynamics, and (iii) provide real examples in ecology/biology/environmental sciences that have used these models to address relevant issues. Readers are exposed to the key concepts, frameworks, and terminology in the studies of ecology and evolution, which will enable them to ask the correct and relevant research questions, and frame the questions using appropriate mathematical models.

Keywords

Mathematical ecology Biodiversity Evolutionary dynamics Species distribution Evolutionary networks Metapopulations

Authors and affiliations

  • Cang Hui
    • 1
  • Pietro Landi
    • 2
  • Henintsoa Onivola Minoarivelo
    • 3
  • Andriamihaja Ramanantoanina
    • 4
  1. 1.Department of Mathematical SciencesStellenbosch UniversityStellenboschSouth Africa
  2. 2.Department of Mathematical SciencesStellenbosch UniversityStellenboschSouth Africa
  3. 3.Department of Mathematical SciencesStellenbosch UniversityStellenboschSouth Africa
  4. 4.Department of Mathematical SciencesStellenbosch UniversityStellenboschSouth Africa

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-92150-1
  • Copyright Information The Author(s), under exclusive licence to Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-3-319-92149-5
  • Online ISBN 978-3-319-92150-1
  • Series Print ISSN 2192-4759
  • Series Online ISSN 2192-4767
  • Buy this book on publisher's site