Stock Identification Methods -

Stock Identification Methods (eBook)

Applications in Fishery Science
eBook Download: PDF
2004 | 1. Auflage
736 Seiten
Elsevier Science (Verlag)
978-0-08-047043-6 (ISBN)
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Stock 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
Stock 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

Cover 1
Annotated Table of Contents 4
Foreword by Michael Sissenwine 10
Contributors 12
PART I: Introduction 15
1. Stock Identification Methods: An Overview 17
2. Definition of Stocks: An Evolving Concept 21
3. Fish Migration and the Unit Stock: Three Formative Debates 31
4. Environmental and Genetic Influences on Stock Identification Characters 59
PART II: Life History Traits 101
5. The Use of Early Life Stages in Stock Identification Studies 103
6. Life History Parameters 133
PART III: Natural Marks„Morphological Analyses 165
7. Morphometric Landmarks 167
8. Morphometric Outlines 187
9. Analyses of Calcified Structures: Texture and Spacing Patterns 199
10. Meristics 211
PART IV: Natural Marks„Environmental Signals 223
11. Parasites as Biological Tags 225
12. Otolith Elemental Composition as a Natural Marker of Fish Stocks 241
13. Fatty Acid Profiles as Natural Marks for Stock Identification 261
PART V: Natural Marks„Genetic Analyses 285
14. Chromosome Morphology 287
15. Genetic Analysis: Allozymes 309
16. Mitochondrial DNA 325
17. Use of Nuclear DNA in Stock Identification: Single-Copy and Repetitive Sequence Markers 345
18. Random Amplified Polymorphic DNA (RAPD) 385
19. Amplified Fragment Length Polymorphism (AFLP) 403
PART VI: Applied Marks 427
20. Internal and External Tags 429
21. Electronic Tags 449
22. Otolith Thermal Marking 461
PART VII: Stock Identification Data Analysis 479
23. Experimental Design and Sampling Strategies for Mixed-Stock Analysis 481
24. An Introduction to Statistical Algorithms Useful in Stock Composition Analysis 513
25. Classical Discriminant Analysis, Classification of Individuals, and Source Population Composition of Mixtures 531
26. Neural Networks Used in Classification with Emphasis on Biological Populations 567
27. Maximum Likelihood Estimation of Stock Composition 585
28. Estimation of Movement from Tagging Data 605
PART VIII: Application of Stock Identification Data in Resource Management 621
29. Stock Identification for Conservation of Threatened or Endangered Species 623
30. The Role of Stock Identification in Formulating Fishery Management Advice 645
31. Identifying Fish Farm Escapees 673
Index 695

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