Unravelling population connectivity for sustainable fisheries in the Deep Sea
Over-exploitation of traditional coastal stocks has resulted in the shift of commercial harvesting towards less-known, deep-sea living resources in many parts of the world. Most of these "new" fisheries are now proving to be unsustainable. A key to our ability to manage these fisheries and protect ecosystems, is the understanding of the underlying demographic and life-history characteristics of deep sea species, including their migratory behavior and spatial population structure. In this project, we will apply the most modern methodologies for a multidisciplinary approach to unravel population structure and population connectivity in in economically important deep-sea fishes. Specifically, we will apply microsatellite DNA, mtDNA and nuclear DNA sequence polymorphisms, and otolith microchemistry to detect population structure. Information on genetic differentiation and otolith microchemical parameters will be integrated with bathymetric data, life-history traits, and oceanographic models of ocean currents within a common statistical framework. Both GAM models and landscape genetic tools will be applied to unravel mechanisms for population connectivity, such as passive larval drift and active migration. On the basis of this mix of proven technologies and new approaches, we will acquire new fundamental biological knowledge that will be put forward for developing scientifically sound management plans for one of the world's most valuable ecosystem.
Project Leader:
Professor Nils Christian Stenseth
University of Oslo, Norway
Principal Investigators:
Dr Halvor Knutsen
Institute of Marine Research, His, Norway
Dr Stefano Mariani
University College Dublin, Ireland
Dr Sergio Stefanni
University of the Azores, Portugal
Associated Partner:
Dr Francis Neat
Fisheries Research Services, Aberdeen, UK
