Advanced approaches to studying the population diversity of marine fishes: New opportunities for fisheries control and management

التفاصيل البيبلوغرافية
العنوان: Advanced approaches to studying the population diversity of marine fishes: New opportunities for fisheries control and management
المؤلفون: Rob Ogden, Gary R. Carvalho, I. A. Zelenina, D. A. Zelenina, Ja. Th. Martinsohn, A. A. Volkov
المصدر: Russian Journal of Genetics. 47:1444-1455
بيانات النشر: Pleiades Publishing Ltd, 2011.
سنة النشر: 2011
مصطلحات موضوعية: Fisheries science, education.field_of_study, Environmental change, Divergence (linguistics), Traceability, business.industry, Population, Environmental resource management, Distribution (economics), Biology, Fishery, Sustainability, Genetics, Fisheries management, education, business
الوصف: Recent conceptual and technological advances now enable fisheries geneticists to detect and monitor the dynamics and distribution of marine fish populations more effectively than ever before. Information on the extent of genetically-based divergence among populations, so-called “population diversity”, is crucial in the quest to manage exploited living resources sustainably since it endows evolutionary potential in the face of environmental change. The generally limited dialogue between scientists, fisheries managers and policy makers, however, continues to constrain integration of population genetic data into tangible policy applications. Largely drawing on the approach and outputs from a European research project, FishPopTrace, we provide an example how the uncovering of marine fish population diversity enables players from genetics, forensics, management and the policy realm to generate a framework tackling key policy-led questions relating to illegal fishing and traceability.
تدمد: 1608-3369
1022-7954
DOI: 10.1134/s1022795411120179
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d31ee43c1142c2ff3d2544fbfc008a5e
https://doi.org/10.1134/s1022795411120179
Rights: CLOSED
رقم الانضمام: edsair.doi...........d31ee43c1142c2ff3d2544fbfc008a5e
قاعدة البيانات: OpenAIRE