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    Stock Identification Methods: Applications in Fishery Science

    Stock Identification Methods by Kerr, Lisa A.; Cadrin, Steven X.; Friedland, Kevin D.;

    Applications in Fishery Science

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      • Publisher's listprice EUR 60.95
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        23 807 Ft (22 673 Ft + 5% VAT)
      • Discount 10% (cc. 2 381 Ft off)
      • Discounted price 21 426 Ft (20 406 Ft + 5% VAT)

    23 807 Ft

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    Out of print

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 3
    • Publisher Elsevier Science
    • Date of Publication 15 October 2004

    • ISBN 9780121543518
    • Binding Hardback
    • No. of pages736 pages
    • Size 228x152 mm
    • Weight 1110 g
    • Language English
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    Long description:

    Stock Identification Methods provides a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the worldwide experience and perspectives of 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 interdisciplinary analyses and 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 central tenets of population biology and management needs, Stock Identification Methods offers a unified framework for understanding stock structure by promoting an understanding of the relative merits and sensitivities of each approach.

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    Table of 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

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