Ecological and Evolutionary Modelling / by Cang Hui, Pietro Landi, Henintsoa Onivola Minoarivelo, Andriamihaja Ramanantoanina.

Format:

Book

Author/Creator:

Hui, Cang, author.

Landi, Pietro, author.

Minoarivelo, Henintsoa Onivola, author.

Ramanantoanina, Andriamihaja, author.

Contributor:

SpringerLink (Online service)

Series:

SpringerBriefs in ecology 2192-4759

SpringerBriefs in Ecology, 2192-4759

Language:

English

Subjects (All):

Life sciences.

Biodiversity.

Biotic communities.

Ecology.

Evolution (Biology).

Game theory.

Biomathematics.

Life Sciences.

Theoretical Ecology/Statistics.

Evolutionary Biology.

Genetics and Population Dynamics.

Community & Population Ecology.

Game Theory, Economics, Social and Behav. Sciences.

Local Subjects:

Life Sciences.

Theoretical Ecology/Statistics.

Evolutionary Biology.

Genetics and Population Dynamics.

Biodiversity.

Community & Population Ecology.

Game Theory, Economics, Social and Behav. Sciences.

Physical Description:

1 online resource (IX, 86 pages) : 17 illustrations, 3 illustrations in color.

Contained In:

Springer eBooks

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2018.

System Details:

text file PDF

Summary:

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.

Contents:

Preface

1. Biodiversity1.1. Introduction

1.2. Aggregation

1.3. Entropy

1.4. Coexistence

1.5. Co-occurrence

1.6. Species turnover

1.7. Scaling

2. Evolution

2.1. Introduction

2.2. Phylogeny

2.3. Optimality

2.4. Game theory

2.5. Adaptive dynamics

2.6. Evolutionary branching

3. Networks

3.1. Introduction

3.2. Network architecture

3.3. Network stability

3.4. Complexity-stability relationship

3.5. Interaction switching

3.6. Coevolutionary networks

4. Spread

4.1.Introduction

4.2. Random walks

4.3. Metapopulations

4.4. Landscape demography

4.5. Dispersal kernels

4.6. Species distribution models

References

Index.

Other Format:

Printed edition:

ISBN:

9783319921501

Access Restriction:

Restricted for use by site license.