Stock Identification Methods: Applications in Fishery Science / Edition 2

Stock Identification Methods: Applications in Fishery Science / Edition 2

by Lisa A. Kerr
     
 

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… See more details below

Overview

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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Product Details

ISBN-13:
9780121543518
Publisher:
Elsevier Science
Publication date:
10/08/2004
Edition description:
REV
Pages:
736
Product dimensions:
1.56(w) x 6.14(h) x 9.21(d)

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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