Stock Identification Methods
Applications in Fishery Science
- 2nd Edition - October 29, 2013
- Latest edition
- Editors: Steven X. Cadrin, Lisa A. Kerr, Stefano Mariani
- Language: English
Stock Identification Methods, 2e, continues to provide a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represent… Read more
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.
- 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
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
- Edition: 2
- Latest edition
- Published: October 29, 2013
- Language: English
SC
Steven X. Cadrin
Affiliations and expertise
Northeast Fisheries Science Center, Woods Hole, MA, USALK
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, USASM
Stefano Mariani
Affiliations and expertise
School of Environment & Life Sciences, University of Salford, UKRead Stock Identification Methods on ScienceDirect