Stock Identification Methods: Applications in Fishery Science | 
enlarge | Creators: Steven X. Cadrin, Kevin D. Friedland, John R. Waldman Publisher: Academic Press Category: Book
List Price: $76.95 Buy New: $62.64 You Save: $14.31 (19%)
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Sales Rank: 771779
Media: Hardcover Edition: 2nd Number Of Items: 1 Pages: 736 Shipping Weight (lbs): 2.3 Dimensions (in): 9 x 6.1 x 1.6
ISBN: 012154351X Dewey Decimal Number: 333.95611 EAN: 9780121543518 ASIN: 012154351X
Publication Date: September 24, 2004 Availability: Usually ships in 1-2 business days Shipping: International shipping available Condition: We ship world wide. Customer's satisfaction is our first priority. Buy without Risk!
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Product Description Stock Identification Methods is a comprehensive review of the various disciplines used to study the population structure of fishery resources. It represents the experience and perspectives of worldwide 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 multidisciplinary analyses and interdisciplinary 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 basic tenets of population biology and management needs, Stock Identification Methods offers a unified framework for understanding stock structure using various methods, 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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