Advertisement

Stage-Structured Populations

Sampling, analysis and simulation

  • Bryan F. J. Manly

Part of the Population and Community Biology Series book series (MBIU)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Bryan F. J. Manly
    Pages 1-6
  3. Bryan F. J. Manly
    Pages 7-32
  4. Bryan F. J. Manly
    Pages 33-41
  5. Bryan F. J. Manly
    Pages 42-85
  6. Bryan F. J. Manly
    Pages 86-100
  7. Bryan F. J. Manly
    Pages 101-117
  8. Bryan F. J. Manly
    Pages 118-151
  9. Bryan F. J. Manly
    Pages 152-167
  10. Back Matter
    Pages 168-187

About this book

Introduction

This book provides a review of methods for obtaining and analysing data from stage-structured biological populations. The topics covered are sam­ pling designs (Chapter 2), the estimation of parameters by maximum likelihood (Chapter 3), the analysis of sample counts of the numbers cif individuals in different stages at different times (Chapters 4 and 5), the analysis of data using Leslie matrix types of model (Chapter 6) and key factor analysis (Chapter 7). There is also some discussion of the approaches to modelling and estimation that have been used in five studies of particular populations (Chapter 8). There is a large literature on the modelling of biological populations, and a multitude of different approaches have been used in this area. The various approaches can be classified in different ways (Southwood, 1978, ch. 12), but for the purposes of this book it is convenient to think of the three categories mathematical, statistical and predictive modelling. Mathematical modelling is concerned largely with developing models that capture the most important qualitative features of population dynamics. In this case, the models that are developed do not have to be compared with data from natural populations. As representations of idealized systems, they can be quite informative in showing the effects of changing parameters, indicating what factors are most important in promoting stability, and so on.

Keywords

biological cluster cotton development dynamics population population dynamics simulation stability structure temperature temperature effects

Authors and affiliations

  • Bryan F. J. Manly
    • 1
  1. 1.Department of Mathematics and StatisticsUniversity of OtagoDunedinNew Zealand

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-009-0843-7
  • Copyright Information Springer Science+Business Media B.V. 1990
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-6866-6
  • Online ISBN 978-94-009-0843-7
  • Series Print ISSN 1431-0414
  • Buy this book on publisher's site