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Stock Identification Methods: Applications in Fishery Science

Stock Identification Methods: Applications in Fishery Science

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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%)



New (10) from $62.64

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!

Also Available In:

  • Kindle Edition - Stock Identification Methods: Applications in Fishery Science
  • Digital - Stock Identification Methods: Applications in Fishery Science

Similar Items:

  • Quantitative Fisheries Stock Assessment: Choice, Dynamics and Uncertainty
  • Fisheries Biology, Assessment and Management
  • Modelling and Quantitative Methods in Fisheries
  • Conservation and the Genetics of Populations
  • Analysing Ecological Data (Statistics for Biology and Health)

Editorial Reviews:

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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