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Stock identification methods : applications in fishery science /

This book provides 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 t...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Cadrin, Steven X. (Editor ), Kerr, Lisa (Editor ), Mariani, Stefano (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, [2014]
Edición:Second edition.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Stock identification methods : an overview
  • 2. The unit stock concept : bounded fish and fisheries
  • 3. Fishery management strategies for addressing complex spatial structure in marine fish stocks
  • 4. Quantitative traits
  • 5. The continuing role of life history parameters to identify stock structure
  • 6. Morphometric landmarks
  • 7. Morphometric outlines
  • 8. Analysis of growth marks in calcified structures : insights into stock structure and migration pathways
  • 9. Meristics
  • 10. Parasites as biological tags
  • 11. Chemical composition of fish hard parts as a natural marker of fish stocks
  • 12. Fatty acid profiles as natural marks for stock identification
  • 13. Application of mitochondrial DNA in stock identification
  • 14. The nuclear genome : neutral and adaptive markers in fisheries science
  • 15. The use of early life stages in stock identification studies
  • 16. Conventional and radio frequency identification (RFID) tags
  • 17. Acoustic and radio telemetry
  • 18. Estimation of movement from tagging data
  • 19. Telemetry analysis of highly migratory species
  • 20. Sampling for interdisciplinary analysis
  • 21. Simulation modeling as a tool for synthesis of stock identification information
  • 22. Interdisciplinary evaluation of spatial population structure for definition of fishery management units.