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Stock identification methods : applications in fishery science / edited by Steven X. Cadrin, Kevin D. Friedland, John R. Waldman.

Contributor(s): ©2005Description: 1 online resource (xv, 719 pages) : illustrations, mapsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780121543518
  • 012154351X
  • 9780080470436
  • 0080470432
  • 1280961651
  • 9781280961656
Subject(s): Genre/Form: Additional physical formats: Print version:: Stock identification methods.LOC classification:
  • SH329.F563 S77 2005eb
Online resources:
Contents:
Introduction -- Life History Traits -- Natural Marks-Morphological Analyses -- Natural Marks-Environmental Signals -- Natural Marks-Genetic Analyses -- Applied Marks -- Stock Identification Data Analysis -- Application of Stock Identification Data in Resource Management.
Summary: Stock Identification Methods is a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the experience and perspectives of worldwide experts on each method, assembled through a working group of the International Council for the Exploration of the Sea. The book is organized to foster multidisciplinary analyses and interdisciplinary conclusions about stock structure, a crucial topic for fishery science and management. Technological advances have promoted the development of stock identification methods in many directions, resulting in a confusing variety of approaches. Based on basic tenets of population biology and management needs, Stock Identification Methods offers a unified framework for understanding stock structure using various methods, by promoting an understanding of the relative merits and sensitivities of each approach. * Describes eighteen distinct approaches to stock identification grouped into sections on life history traits, environmental signals, genetic analyses, and applied marks * Features experts' reviews of benchmark case studies, general protocols, and the strengths and weaknesses of each identification method * Reviews statistical techniques for exploring stock patterns, testing for differences among putative stocks, stock discrimination, and stock composition analysis * Focuses on the challenges of interpreting data and managing mixed-stock fisheries.
Item type: eBooks
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Stock Identification Methods is a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the experience and perspectives of worldwide experts on each method, assembled through a working group of the International Council for the Exploration of the Sea. The book is organized to foster multidisciplinary analyses and interdisciplinary conclusions about stock structure, a crucial topic for fishery science and management. Technological advances have promoted the development of stock identification methods in many directions, resulting in a confusing variety of approaches. Based on basic tenets of population biology and management needs, Stock Identification Methods offers a unified framework for understanding stock structure using various methods, by promoting an understanding of the relative merits and sensitivities of each approach. * Describes eighteen distinct approaches to stock identification grouped into sections on life history traits, environmental signals, genetic analyses, and applied marks * Features experts' reviews of benchmark case studies, general protocols, and the strengths and weaknesses of each identification method * Reviews statistical techniques for exploring stock patterns, testing for differences among putative stocks, stock discrimination, and stock composition analysis * Focuses on the challenges of interpreting data and managing mixed-stock fisheries.

Introduction -- Life History Traits -- Natural Marks-Morphological Analyses -- Natural Marks-Environmental Signals -- Natural Marks-Genetic Analyses -- Applied Marks -- Stock Identification Data Analysis -- Application of Stock Identification Data in Resource Management.

Includes bibliographical references and index.

Print version record.

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