Stock identification methods : applications in fishery science
Material type: TextPublication details: Burlington, MA : Elsevier Academic Press, ©2005.Description: xv, 719 pages : illustrations, mapsISBN:- 9780121543518
- 012154351X
- 551.46 STO
Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|
Reference Books | Main Library Reference | Reference | 551.46 STO (Browse shelf(Opens below)) | Available | 010223 |
Included index
Introduction --
Life History Traits --
Natural Marks-Morphological Analyses --
Natural Marks-Environmental Signals --
Natural Marks-Genetic Analyses --
Applied Marks --
Stock Identification Data Analysis --
Application of Stock Identification Data in Resource Management.
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
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