Steven X. Cadrin & Lisa A. Kerr 
Stock Identification Methods [EPUB ebook] 
Applications in Fishery Science

поддержка
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
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язык английский ● Формат EPUB ● ISBN 9780123972583 ● редактор Steven X. Cadrin & Lisa A. Kerr ● издатель Elsevier Science ● опубликованный 2013 ● Загружаемые 6 раз ● валюта EUR ● Код товара 5655754 ● Защита от копирования Adobe DRM
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