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Adaptation in Stochastic Environments

  • Conference proceedings
  • © 1993

Overview

Part of the book series: Lecture Notes in Biomathematics (LNBM, volume 98)

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About this book

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.

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Keywords

Table of contents (10 papers)

Editors and Affiliations

  • Dept. of Biological Sciences, Binghamton University, Binghamton, USA

    Jin Yoshimura

  • Institute of Applied Mathematics, The University of British Columbia, Vancouver, Canada

    Colib W. Clark

Bibliographic Information

  • Book Title: Adaptation in Stochastic Environments

  • Editors: Jin Yoshimura, Colib W. Clark

  • Series Title: Lecture Notes in Biomathematics

  • DOI: https://doi.org/10.1007/978-3-642-51483-8

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1993

  • Softcover ISBN: 978-3-540-56681-6Published: 14 June 1993

  • eBook ISBN: 978-3-642-51483-8Published: 06 December 2012

  • Series ISSN: 0341-633X

  • Series E-ISSN: 2196-9981

  • Edition Number: 1

  • Number of Pages: VII, 193

  • Number of Illustrations: 1 b/w illustrations

  • Topics: Zoology, Ecology, Mathematical and Computational Biology

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