Stock Identification Methods

2nd Edition

Applications in Fishery Science

Editors: Steven Cadrin Lisa A. Kerr Stefano Mariani
Hardcover ISBN: 9780123970039
eBook ISBN: 9780123972583
Imprint: Academic Press
Published Date: 29th October 2013
Page Count: 588
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Stock Identification Methods, 2e, continues to provide 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, this valuable resource offers a unified framework for understanding stock structure by promoting an understanding of the relative merits and sensitivities of each approach.

Key Features

  • Describes 18 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


Fishery scientists and managers; students studying fish biology and related aquatic sciences

Table of Contents

List of Contributors



New to this Edition

Chapter One. Stock Identification Methods: An Overview





Chapter Two. The Unit Stock Concept: Bounded Fish and Fisheries


2.1 The Unit Stock Imperative

2.2 Operational Definitions of Unit Stock

2.3 Fishing across Boundaries

2.4 Mixed and Shifting Stocks

2.5 Complex Life Cycles

2.6 Stocks as Closed Populations

2.7 Natal Homing Mechanisms

2.8 “Self-Recruitment” in Reef Fishes

2.9 Open Populations

2.10 Between Closed and Open Populations: Connectivity

2.11 What Do We Need to Know to Track Fish Stocks?


Further Reading

Chapter Three. Fishery Management Strategies for Addressing Complex Spatial Structure in Marine Fish Stocks



3.1 Introduction

3.2 Quota Setting

3.3 Spatial Management Strategies

3.4 Summary and Conclusions


Chapter Four. Quantitative Traits



Scope of the Chapter

4.1 Introduction

4.2 Nature of Variation in Quantitative Traits

4.3 Disentangling Sources of Phenotypic Variation

4.4 Conclusions


Chapter Five. The Continuing Role of Life History Parameters to Identify Stock Structure




5.1 Introduction

5.2 Distribution and Abundance

5.3 Size and Age

5.4 Reproduction and Recruitment

5.5 Conclusions


Chapter Six. Morphometric Landmarks



6.1 Introduction

6.2 Methodological Protocols

6.3 Interpretation of Morphometric Differences

6.4 Discussio


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© Academic Press 2014
Academic Press
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About the Editor

Steven Cadrin

Affiliations and Expertise

Northeast Fisheries Science Center, Woods Hole, MA, USA

Lisa A. Kerr

Lisa Kerr is a fisheries ecologist at the Gulf of Maine Research Institute (Portland, ME). Lisa is broadly interested in understanding the structure and dynamics of fish populations, with the goal of enhancing our ability to sustainably manage fisheries and ecosystems as a whole. She is particularly motivated to identify complex stock structure and understand the role it plays in the stability and resilience of local and regional populations. Lisa employs a diverse skill set to address critical ecological questions related to population structure that are also directly applicable to fisheries management. Her expertise includes structural analysis of fish hard parts (e.g. otoliths, vertebrae) and the application of the chemical methods (stable isotope, radioisotope, and trace element analysis) to these structures. She also uses mathematical modeling as a tool to understand how biocomplexity within fish stocks (e.g., spatial structure, connectivity, life cycle diversity) impacts their response to natural climatic oscillations, climate change, fishing, and management measures.

Affiliations and Expertise

Gulf of Maine Research Institute, Portland, ME, USA

Stefano Mariani

Affiliations and Expertise

School of Environment & Life Sciences, University of Salford, UK