Download the fantastic book titled Stock Identification Methods written by Steven X. Cadrin, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Stock Identification Methods", which was released on 04 October 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Stock Identification Methods by Steven X. Cadrin PDF
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. Describes 18 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
Detail About Stock Identification Methods PDF
- Author : Steven X. Cadrin
- Publisher : Academic Press
- Genre : Technology & Engineering
- Total Pages : 588 pages
- ISBN : 0123972582
- Release Date : 04 October 2013
- PDF File Size : 35,7 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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