Stock Identification Methods
Applications in Fishery Science
- 1st Edition - November 5, 1992
- Imprint: Academic Press
- Editors: Lisa A. Kerr, Steven X. Cadrin, Kevin D. Friedland, Stefano Mariani, John R. Waldman
- Language: English
- Paperback ISBN:9 7 8 - 1 - 4 9 3 3 - 0 0 2 2 - 8
- eBook ISBN:9 7 8 - 0 - 0 8 - 0 4 7 0 4 3 - 6
Stock Identification Methods provides a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the worldw… Read more
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Request a sales quoteStock Identification Methods provides 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, Stock Identification Methods offers a unified framework for understanding stock structure 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
* 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.
I. INTRODUCTION
Overview
Definition of Management Units, Stock Units, and Populations
Migration and the Stock Concept
Environmental versus Genetic Influence on Identification Characters
II. LIFE HISTORY TRAITS
Distribution of Life Stages
Life History Parameters
III. NATURAL MARKS-MORPHOLOGICAL ANALYSES
Morphometric Outlines
Morphometric Landmarks
Texture Methods
Meristics
IV. NATURAL MARKS-ENVIRONMENTAL SIGNALS
Parasites as Biological Tags
Fatty Acid Profiles
V. NATURAL MARKS-GENETIC ANALYSES
Chromosome Morphology
Allozymes
Mitochondrial DNA
Microsatellites
Random Amplified Polymorphic DNA (RAPD)
Amplified Length Polymorphic DNA (AFLP)
VI. APPLIED MARKS
Internal and External Tags
Electronic Tags
Otolith Thermal Marking
VII. STOCK IDENTIFICATION DATA ANALYSIS
Stock Identification Data Requirements in Quantitative Assessments
Statistical Algorithms for Stock Composition Analysis
Discriminant Function Analysis
Neural Networks in Classifying Biological Populations
Maximum Likelihood Estimators of Stock Composition
Non-parametric Methods of Estimating Classification Variability
Analysis of Tagging Data
VIII. APPLICATION OF STOCK IDENTIFICATION DATA IN RESOURCE MANAGEMENT
Application of Stock Identification Data in Resource Management
The Role of Stock Identification Data in Formulating Fishery Management Advice
Identifying Fish Farm Escapees
Real Time Application of Stock Identification Information
Overview
Definition of Management Units, Stock Units, and Populations
Migration and the Stock Concept
Environmental versus Genetic Influence on Identification Characters
II. LIFE HISTORY TRAITS
Distribution of Life Stages
Life History Parameters
III. NATURAL MARKS-MORPHOLOGICAL ANALYSES
Morphometric Outlines
Morphometric Landmarks
Texture Methods
Meristics
IV. NATURAL MARKS-ENVIRONMENTAL SIGNALS
Parasites as Biological Tags
Fatty Acid Profiles
V. NATURAL MARKS-GENETIC ANALYSES
Chromosome Morphology
Allozymes
Mitochondrial DNA
Microsatellites
Random Amplified Polymorphic DNA (RAPD)
Amplified Length Polymorphic DNA (AFLP)
VI. APPLIED MARKS
Internal and External Tags
Electronic Tags
Otolith Thermal Marking
VII. STOCK IDENTIFICATION DATA ANALYSIS
Stock Identification Data Requirements in Quantitative Assessments
Statistical Algorithms for Stock Composition Analysis
Discriminant Function Analysis
Neural Networks in Classifying Biological Populations
Maximum Likelihood Estimators of Stock Composition
Non-parametric Methods of Estimating Classification Variability
Analysis of Tagging Data
VIII. APPLICATION OF STOCK IDENTIFICATION DATA IN RESOURCE MANAGEMENT
Application of Stock Identification Data in Resource Management
The Role of Stock Identification Data in Formulating Fishery Management Advice
Identifying Fish Farm Escapees
Real Time Application of Stock Identification Information
- Edition: 1
- Published: November 5, 1992
- No. of pages (eBook): 736
- Imprint: Academic Press
- Language: English
- Paperback ISBN: 9781493300228
- eBook ISBN: 9780080470436
LK
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, USASC
Steven X. Cadrin
Affiliations and expertise
Northeast Fisheries Science Center, Woods Hole, MA, USAKF
Kevin D. Friedland
Affiliations and expertise
University of Massachusetts, Amherst, MA, U.S.A.SM
Stefano Mariani
Affiliations and expertise
School of Environment & Life Sciences, University of Salford, UKJW
John R. Waldman
Affiliations and expertise
Hudson River Foundation, New York, NY, U.S.A.Read Stock Identification Methods on ScienceDirect