Stock Identification Methods

by Cadrin; Kerr; Mariani

• ISBN13: 9780123970039
• ISBN10: 0123970032
• Edition: 2nd
• Format: Hardcover
• Copyright: 2013-10-29
• Publisher: Elsevier Science

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.

Table of Contents

Stock Identification Methods: Applications in Fishery Science, 2e

Introduction

Stock Identification Methods: An Overview

The Stock Concept

Complex Population Structure and Fisheries

Geographic Variation

Life History Traits

Quantitative Traits

Life History Parameters

Morphology

Morphometric Landmarks

Morphometric Outlines

Analyses of Calcified Structures

Meristics

Environmental Signals

Parasites as Biological Tags

Otolith Elemental Composition

Fatty Acid Profiles

Genetic Analyses

Chromosome Morphology

Mitochondrial DNA

Nuclear DNA and Proteomics

Movement and Mixing

Early Life History Dispersal

Conventional Tags

Acoustic Tags

Satellite Tags

Estimation of Movement from Tagging Data

Analysis of Telemetry Data for Stock Identification

Interdisciplinary Analyses

Sampling for Interdisiplinary Analysis

Interdisciplinary Literature Review

Population Simulation

Interdisciplinary Stock Identification for Fishery Management and Conservation Biology

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