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Stock identification methods : applications in fishery science /

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 Exp...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Cadrin, Steven X., Friedland, Kevin D., Waldman, John R.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington, MA : Elsevier Academic Press, �2005.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Stock identification methods :  |b applications in fishery science /  |c edited by Steven X. Cadrin, Kevin D. Friedland, John R. Waldman. 
260 |a Burlington, MA :  |b Elsevier Academic Press,  |c �2005. 
300 |a 1 online resource (xv, 719 pages) :  |b illustrations, maps 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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520 |a 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. 
505 0 |a 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. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
546 |a English. 
650 0 |a Fish stock identification. 
650 0 |a Fish stock assessment. 
650 6 |a Ressources halieutiques  |x Identification.  |0 (CaQQLa)201-0445807 
650 6 |a Ressources halieutiques  |x �Evaluation.  |0 (CaQQLa)201-0212152 
650 7 |a SCIENCE  |x Life Sciences  |x Biological Diversity.  |2 bisacsh 
650 7 |a NATURE  |x Animals  |x Wildlife.  |2 bisacsh 
650 7 |a Fish stock assessment  |2 fast  |0 (OCoLC)fst00925965 
650 7 |a Fish stock identification  |2 fast  |0 (OCoLC)fst01201917 
653 0 0 |a visstand 
653 0 0 |a fish stocks 
653 0 0 |a visserij 
653 0 0 |a fisheries 
653 0 0 |a visbestand 
653 0 0 |a fishery resources 
653 0 0 |a visserijbeheer 
653 0 0 |a fishery management 
653 0 0 |a identificatie 
653 0 0 |a identification 
653 0 0 |a beoordeling 
653 0 0 |a assessment 
653 0 0 |a schatting 
653 0 0 |a estimation 
653 0 0 |a methodologie 
653 0 0 |a methodology 
653 0 0 |a bevolkingsstructuur 
653 0 0 |a population structure 
653 0 0 |a visserijbiologie 
653 0 0 |a fishery biology 
653 1 0 |a Fishery Resources and Management 
653 2 0 |a Pisces 
653 1 0 |a Visbestanden en visserijbeheer 
700 1 |a Cadrin, Steven X. 
700 1 |a Friedland, Kevin D. 
700 1 |a Waldman, John R. 
776 0 8 |i Print version:  |t Stock identification methods.  |d Burlington, MA : Elsevier Academic Press, �2005  |z 012154351X  |z 9780121543518  |w (OCoLC)56979837 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780121543518  |z Texto completo