Matrix population models : construction, analysis, and interpretation

書誌事項

Matrix population models : construction, analysis, and interpretation

Hal Caswell

Sinauer Associates, c1989

  • : pbk

大学図書館所蔵 件 / 20

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注記

Bibliography: p. 296-320

Includes index

内容説明・目次

巻冊次

: pbk ISBN 9780878930937

内容説明

Matrix population models are a powerful tool for investigating the population dynamic consequences of the structure of the life cycle and the vital rates (rates of mortality, fertility, growth and development), especially when individuals are more appropriately classified by size or developmental stage than by age. This book presents a comprehensive treatment of these models. It emphasizes their construction, either from actual data or as an expression of hypotheses about the life cycle, their mathematical analysis, and the biological interpretation of the results. The text is aimed at practising population biologists. Motivation of methods and examples of thier application have been given a higher priority than mathematical elegance.
巻冊次

ISBN 9780878930944

内容説明

Matrix population models are a powerful tool for investigating the population dynamic consequences of the structure of the life cycle and the vital rates (rates of mortality, fertility, growth and development), especially when individuals are more appropriately classified by size or developmental stage than by age. This book presents a comprehensive treatment of these models. It emphasizes their construction, either from actual data or as an expression of hypotheses about the life cycle, their mathematical analysis, and the biological interpretation of the results. The text is aimed at practising population biologists. Motivation of methods and examples of thier application have been given a higher priority than mathematical elegance.

目次

  • The age-classified matrix model
  • stage-classified life cycles
  • stage-classified matrix models
  • analysis of the life-cycle graph
  • sensitivity analysis and evolutionary demography
  • statistical inference
  • time-varying and stochastic models
  • density-dependent models
  • two-sex models.

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