NDLI: Integrating genetic data into management of marine resources: how can we do it better?

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Integrating genetic data into management of marine resources: how can we do it better?

Content Provider	Semantic Scholar
Author	Waples, Robin S. Punt, André E. Cope, Jason Marc
Copyright Year	2008
Abstract	Molecular genetic data have found widespread application in the identification of population and conservation units for aquatic species. However, integration of genetic information into actual management has been slow, and explicit and quantitative inclusion of genetic data into fisheries models is rare. In part, this reflects the inherent difficulty in using genetic markers to draw inferences about demographic independence, which is generally the information of the greatest short-term interest to fishery managers. However, practical management constraints, institutional structures and communication issues have also contributed to the lack of integration. This paper identifies some of the organizational, conceptual and technical barriers that have hampered full use of genetics data in stock assessment and hence fishery management and outlines how such use could be enhanced.
Starting Page	423
Ending Page	449
Page Count	27
File Format	PDF HTM / HTML
DOI	10.1111/j.1467-2979.2008.00303.x
Volume Number	9
Alternate Webpage(s)	http://digitalcommons.unl.edu/cgi/viewcontent.cgi?article=1454&context=usdeptcommercepub
Alternate Webpage(s)	http://webcms.uct.ac.za/sites/default/files/image_tool/images/302/workshop/IWS2019/Hake2019_IWS/MARAM_IWS_2019_Hake_BG4%20-%20Waples%20et%20al%202008.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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