Adaptation in Stochastic Environments

  • Jin Yoshimura
  • Colib W. Clark
Conference proceedings
Part of the Lecture Notes in Biomathematics book series (LNBM, volume 98)

Table of contents

About these proceedings

Introduction

The classical theory of natural selection, as developed by Fisher, Haldane, and 'Wright, and their followers, is in a sense a statistical theory. By and large the classical theory assumes that the underlying environment in which evolution transpires is both constant and stable - the theory is in this sense deterministic. In reality, on the other hand, nature is almost always changing and unstable. We do not yet possess a complete theory of natural selection in stochastic environ­ ments. Perhaps it has been thought that such a theory is unimportant, or that it would be too difficult. Our own view is that the time is now ripe for the development of a probabilistic theory of natural selection. The present volume is an attempt to provide an elementary introduction to this probabilistic theory. Each author was asked to con­ tribute a simple, basic introduction to his or her specialty, including lively discussions and speculation. We hope that the book contributes further to the understanding of the roles of "Chance and Necessity" (Monod 1971) as integrated components of adaptation in nature.

Keywords

Fitness adaptation animals demography dynamics ecology environment evolution genetics mathematical ecology natural selection population dynamics stochastic environments

Editors and affiliations

  • Jin Yoshimura
    • 1
  • Colib W. Clark
    • 2
  1. 1.Dept. of Biological SciencesBinghamton UniversityBinghamtonUSA
  2. 2.Institute of Applied MathematicsThe University of British ColumbiaVancouverCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-51483-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 1993
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-56681-6
  • Online ISBN 978-3-642-51483-8
  • Series Print ISSN 0341-633X