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Thread: Stock Identification Methods: Applications in Fishery Science ebook

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    Default Stock Identification Methods: Applications in Fishery Science ebook

    Stock Identification Methods: Applications in Fishery Science
    by
    Steven X. Cadrin, Kevin D. Friedland, John R. Waldman




    Pages: 736 pages
    Publisher: --
    Edition :2004
    Language:English
    ISBN:012154351X

    Description
    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


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    Default Re: Stock Identification Methods: Applications in Fishery Science ebook

    Stock Identification Methods: Applications in Fishery Science
    2004



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