Stock Identification Methods
Applications in Fishery Science
2nd Edition
Published on 6. December 2013
Book
Hardback
588 pages
978-0-12-397003-9 (ISBN)
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.
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.
More details
Edition
2nd edition
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
College/higher education
Professional and scholarly
Fishery scientists and managers; students studying fish biology and related aquatic sciences.
Illustrations
Approx. 150 illustrations
Dimensions
Height: 229 mm
Width: 152 mm
Weight
1040 gr
ISBN-13
978-0-12-397003-9 (9780123970039)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Lisa A. Kerr | Steven X. Cadrin | Kevin D. Friedland
Stock Identification Methods
Applications in Fishery Science
Book
10/2004
Academic Press
€64.36
Article exhausted; check for reprint
Persons
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.
Content
Foreword Introduction
1. Stock Identification Methods: An Overview
2. The Unit Stock Concept: Bounded Fish and Fisheries
3. Fishery Management Strategies for Addressing Complex Spatial Structure in Marine Fish Stocks
Geographic Variation
Life History Traits
4. Quantitative Traits
5. The continuing role of life history parameters to identify stock structure
Morphology
6. Morphometric Landmarks
7. Morphometric Outlines
8. Analysis of growth marks in calcified structures: insights into stock structure and migration pathways
9. Meristics
Environmental Signals
10. Parasites as Biological Tags
11. Chemical Composition of Fish Hard Parts as a Natural Marker of Fish Stocks
12. Fatty Acid Profiles as Natural Marks for Stock Identification
Genetic Analyses
13. Application of Mitochondrial DNA in Stock Identification
14. The Nuclear Genome: Neutral and Adaptive Markers in Fisheries Science
Movement and Mixing
15. The use of early life stages in stock identification studies
16. Conventional and Radio Frequency Identification (RFID) tags
17. Acoustic and Radio Telemetry
18. Estimation of Movement from Tagging Data
19. Telemetry Analysis of Highly Migratory Species
Interdisciplinary Analyses
20. Sampling for Interdisiplinary Analysis
21. Simulation Modeling as a Tool for Synthesis of Stock Identification Information
22. Interdisciplinary Evaluation of Spatial Population Structure for Definition of Fishery Management Units
1. Stock Identification Methods: An Overview
2. The Unit Stock Concept: Bounded Fish and Fisheries
3. Fishery Management Strategies for Addressing Complex Spatial Structure in Marine Fish Stocks
Geographic Variation
Life History Traits
4. Quantitative Traits
5. The continuing role of life history parameters to identify stock structure
Morphology
6. Morphometric Landmarks
7. Morphometric Outlines
8. Analysis of growth marks in calcified structures: insights into stock structure and migration pathways
9. Meristics
Environmental Signals
10. Parasites as Biological Tags
11. Chemical Composition of Fish Hard Parts as a Natural Marker of Fish Stocks
12. Fatty Acid Profiles as Natural Marks for Stock Identification
Genetic Analyses
13. Application of Mitochondrial DNA in Stock Identification
14. The Nuclear Genome: Neutral and Adaptive Markers in Fisheries Science
Movement and Mixing
15. The use of early life stages in stock identification studies
16. Conventional and Radio Frequency Identification (RFID) tags
17. Acoustic and Radio Telemetry
18. Estimation of Movement from Tagging Data
19. Telemetry Analysis of Highly Migratory Species
Interdisciplinary Analyses
20. Sampling for Interdisiplinary Analysis
21. Simulation Modeling as a Tool for Synthesis of Stock Identification Information
22. Interdisciplinary Evaluation of Spatial Population Structure for Definition of Fishery Management Units