Stock identification methods :: applications in fishery science /

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 Exp...

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Weitere Verfasser: Cadrin, Steven X., Friedland, Kevin D., Waldman, John R.
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Burlington, MA : Elsevier Academic Press, ©2005.
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Zusammenfassung: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.
Beschreibung:1 online resource (xv, 719 pages) : illustrations, maps
Bibliographie:Includes bibliographical references and index.
ISBN:9780121543518
012154351X
9780080470436
0080470432
1280961651
9781280961656
9786610961658
6610961654

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