Stock Identification Methods

Stock Identification Methods

Applications in Fishery Science

2nd Edition - October 4, 2013

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  • Editors: Steven Cadrin, Lisa A. Kerr, Stefano Mariani
  • eBook ISBN: 9780123972583

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Description

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

Readership

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

Table of Contents

  • List of Contributors

    Foreword

    Introduction

    New to this Edition

    Chapter One. Stock Identification Methods: An Overview

    Abstract

    Acknowledgments

    Glossary

    References

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

    Abstract

    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?

    References

    Further Reading

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

    Abstract

    Acknowledgments

    3.1 Introduction

    3.2 Quota Setting

    3.3 Spatial Management Strategies

    3.4 Summary and Conclusions

    References

    Chapter Four. Quantitative Traits

    Abstract

    Acknowledgments

    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

    References

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

    Abstract

    Acknowledgments

    Abbreviations

    5.1 Introduction

    5.2 Distribution and Abundance

    5.3 Size and Age

    5.4 Reproduction and Recruitment

    5.5 Conclusions

    References

    Chapter Six. Morphometric Landmarks

    Abstract

    Acknowledgments

    6.1 Introduction

    6.2 Methodological Protocols

    6.3 Interpretation of Morphometric Differences

    6.4 Discussion

    References

    Chapter Seven. Morphometric Outlines

    Abstract

    Acknowledgments

    7.1 Introduction

    7.2 Methods

    7.3 Interpretation

    7.4 Case Studies in Stock Identification

    7.5 Discussion

    References

    Chapter Eight. Analysis of Growth Marks in Calcified Structures: Insights into Stock Structure and Migration Pathways

    Abstract

    8.1 Introduction

    8.2 Methodology

    8.3 Conclusions and Future Directions

    References

    Chapter Nine. Meristics

    Abstract

    Acknowledgments

    9.1 Introduction

    9.2 Methodology

    9.3 Case Studies in Stock Identification

    9.4 Conclusions

    References

    Chapter Ten. Parasites as Biological Tags

    Abstract

    10.1 Introduction

    10.2 Selection of Parasites for Use as Tags

    10.3 Methodology

    10.4 Collection of Hosts and Parasites

    10.5 Interpretation of Results

    10.6 Example Case Studies

    References

    Chapter Eleven. Chemical Composition of Fish Hard Parts as a Natural Marker of Fish Stocks

    Abstract

    11.1 Principles of Chemistry Applications to Fish Hard Parts

    11.2 Methodology

    11.3 Case Studies

    11.4 Conclusion

    References

    Chapter Twelve. Fatty Acid Profiles as Natural Marks for Stock Identification

    Abstract

    12.1 Introduction

    12.2 Methodology

    12.3 Case Histories

    12.4 Discussion

    References

    Chapter Thirteen. Application of Mitochondrial DNA in Stock Identification

    Abstract

    Abbreviations

    Scope of the Chapter

    13.1 Introduction

    13.2 Methods for the Analysis of mtDNA

    13.3 Fish Stock Identification: Insights from mtDNA Data Analysis

    13.4 Conclusions

    Glossary

    References

    Chapter Fourteen. The Nuclear Genome: Neutral and Adaptive Markers in Fisheries Science

    Abstract

    Acknowledgments

    Abbreviations

    14.1 Introduction

    14.2 Methodology—The Nuclear “Tool Kit” for Stock Identification

    14.3 Matching Each Question with the Right Tool

    14.4 Conclusions

    References

    Chapter Fifteen. The Use of Early Life Stages in Stock Identification Studies

    Abstract

    Acknowledgments

    15.1 Stock Definitions

    15.2 Role of Early Life Stage Information in the Stock Concept

    15.3 Use of Early Life Stages in Stock Identification

    15.4 Examples of Early Life Stage Information in the Definition of Stocks

    15.5 Future Directions and Conclusions

    References

    Chapter Sixteen. Conventional and Radio Frequency Identification (RFID) Tags

    Abstract

    Acknowledgments

    16.1 A History of Tagging and Its Use in Stock Identification Studies

    16.2 External Tag Types

    16.3 Internal Tag Types

    16.4 Choosing the Appropriate Tag

    16.5 Tagging Methods

    16.6 Fish Movement Pattern and Connectivity Tagging Studies

    16.7 Tagging Data Analysis for Movement Pattern Studies

    16.8 Conclusions

    References

    Further Reading

    Chapter Seventeen. Acoustic and Radio Telemetry

    Abstract

    Acknowledgments

    17.1 Introduction

    17.2 Technology

    17.3 Advantages and Disadvantages of Acoustic Telemetry

    17.4 Considerations for Study Design

    17.5 Data Analysis

    17.6 Case Studies

    17.7 Discussion

    References

    Further Reading

    Chapter Eighteen. Estimation of Movement from Tagging Data

    Abstract

    18.1 Introduction

    18.2 Discrete Time/Discrete Stock Models

    18.3 Continuous Time/Space Models

    18.4 Summary and Challenges

    References

    Chapter Nineteen. Telemetry Analysis of Highly Migratory Species

    Abstract

    Acknowledgments

    19.1 Introduction

    19.2 Tagging Study Road Map

    19.3 Satellite Linked Radio Transmitters: A Tool for All Scales but Not All Creatures

    19.4 Archival Tags: There Are Many Fish in the Sea

    19.5 Geolocation: Where Did My Fish Go?

    19.6 Light Based Geolocation

    19.7 Beyond Light

    19.8 Improving Geolocation: Algorithmic Approach

    19.9 The Statistical Approach: State-Space Models and the Kalman Filter

    19.10 Behavior Modes

    19.11 Bayesian Inference

    19.12 Defining Stock Boundaries: Home Range and Utilization Distribution

    19.13 Hidden Markov Models

    19.14 Depth: The Third Dimension

    19.15 Synthesis: From Observation to Inference and Application

    19.16 Conclusions

    References

    Chapter Twenty. Sampling for Interdisciplinary Analysis

    Abstract

    20.1 Introduction

    20.2 Basic Aspects

    20.3 Sampling in Space

    20.4 Sampling in Time

    20.5 Sampling in the Spawning Area and Spawning Time

    20.6 Sample Size

    20.7 Applying All the Approaches to the Same Specimen

    20.8 Logistics, Operation, and Organization of the Sampling Process

    20.9 Exploratory Data Analysis

    20.10 Conclusions

    References

    Chapter Twenty One. Simulation Modeling as a Tool for Synthesis of Stock Identification Information

    Abstract

    Acknowledgments

    21.1 Introduction

    21.2 Simulation Modeling to Test Hypotheses Regarding Stock Structure and Movement of Fish

    21.3 Incorporating Spatial Structure and Connectivity in Population Dynamics Models

    21.4 Case Studies

    21.5 Opportunities and Limitations

    21.6 Conclusions

    References

    Chapter Twenty Two. Interdisciplinary Evaluation of Spatial Population Structure for Definition of Fishery Management Units

    Abstract

    Acknowledgments

    22.1 Introduction

    22.2 A Process for Interdisciplinary Stock Identification

    22.3 Case Studies

    22.4 Conclusions

    References

    Index

Product details

  • No. of pages: 588
  • Language: English
  • Copyright: © Academic Press 2013
  • Published: October 4, 2013
  • Imprint: Academic Press
  • eBook ISBN: 9780123972583

About the Editors

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

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