Population Biology

Concepts and Models

  • Alan Hastings

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Introduction

    1. Alan Hastings
      Pages 1-5
  3. Single species

    1. Front Matter
      Pages 7-7
    2. Alan Hastings
      Pages 9-40
    3. Alan Hastings
      Pages 41-80
    4. Alan Hastings
      Pages 81-106
    5. Alan Hastings
      Pages 107-116
  4. Interacting Species

    1. Front Matter
      Pages 117-117
    2. Alan Hastings
      Pages 119-128
    3. Alan Hastings
      Pages 129-149
    4. Alan Hastings
      Pages 151-180
    5. Alan Hastings
      Pages 181-188
    6. Alan Hastings
      Pages 189-200
    7. Alan Hastings
      Pages 201-203
  5. Back Matter
    Pages 205-220

About this book

Introduction

Population biology has been investigated quantitatively for many decades, resulting in a rich body of scientific literature. Ecologists often avoid this literature, put off by its apparently formidable mathematics. This textbook provides an introduction to the biology and ecology of populations by emphasizing the roles of simple mathematical models in explaining the growth and behavior of populations. The author only assumes acquaintance with elementary calculus, and provides tutorial explanations where needed to develop mathematical concepts. Examples, problems, extensive marginal notes and numerous graphs enhance the book's value to students in classes ranging from population biology and population ecology to mathematical biology and mathematical ecology. The book will also be useful as a supplement to introductory courses in ecology.

Keywords

Interacting Species Parasitoid Pathogen Population Genetics Population biology Predator Prey biology ecology genetics

Authors and affiliations

  • Alan Hastings
    • 1
  1. 1.Division of Environmental StudiesUniversity of California at DavisDavisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-2731-9
  • Copyright Information Springer-Verlag New York 1997
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-94853-9
  • Online ISBN 978-1-4757-2731-9
  • About this book