Dynamic state variable models in ecology

Dynamic state variable models in ecology: methods and applications

by Clark, Colin Whitcomb

Type Book
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A self-teaching introduction to the construction, testing, and application of dynamic state variable models. These are highly flexible individual optimization models of behavior involving restraints and tradeoffs as they affect individual fitness. This model approach employs the computational techniques of backward and forward iteration to arrive at some understanding of a phenomenon that cannot be studied directly.

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Title Statements

  • Full title :Dynamic state variable models in ecology : methods and applications / Colin W. Clark and Marc Mangel.

Summary

A self-teaching introduction to the construction, testing, and application of dynamic state variable models. These are highly flexible individual optimization models of behavior involving restraints and tradeoffs as they affect individual fitness. This model approach employs the computational techniques of backward and forward iteration to arrive at some understanding of a phenomenon that cannot be studied directly.

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Edition Statements

  • Publication Date:2000.

Publication Statements

The Physical Object

  • Description:ix, 289 pages : : illustrations ; : 25 cm

Edition Identifiers

  • ISBN:0195122666, 9780195122664, 0195122674, 9780195122671
  • oclc:ocm40698497
  • LC Classification:QL751.65.M3
  • Dewey Decimal:577/.01/5118

Table of Contents

Ch. 1. The Basics -- Introduction: Biology, constraints and trade-offs -- An example: Formalizing constraints and trade-offs -- A brief digression on probability -- The algorithm of stochastic dynamic programming -- Computer implementation -- Evaluating the fitness of alternative strategies -- Developing a dynamic state variable model -- A model for feeding by the three-spined stickleback -- The role of dynamic state variable models in ecology -- Examples of projects -- Appendix: Rate-maximizing theories of diet selection and habitat choice -- Ch. 2. Some Details of Technique -- Linear interpolation -- Sequential coupling -- Forward iteration and Monte Carlo simulation -- The critical level of reserves -- Environmental state variables -- Errors in decisions -- Variable constraints -- Functional forms -- Ch. 3. Using the Model -- Levels of detail in model predictions -- Comparing models and data -- Obtaining and analyzing predictions -- Sensitivity analysis -- Suboptimality analysis -- Ch. 4. Oviposition Behavior of Insect Parasitoids -- Parasitoid life histories -- Fixed clutch models -- A dynamic but state-independent model -- The proovigenic parasitoid -- The synovigenic parasit…

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