Fisheries management and sustainable business models Research and innovation challenges: A sustainable governance regime. Efficient value chains. Sustainable governance and business models. For new mesopelagic and low trophic fisheries in the North-Atlantic, the knowledge about biology and biomass is insufficient for determining sustainable quotas and technical regulations for harvesting. The knowledge basis for choosing efficient […]
Land-based processing and product development Research and innovation challenges: For mesopelagic fish, the high level of autolytic activity and variable raw material quality causes increased energy consumption and reduced product quality. For Calanus and krill, processing methods must be improved in terms of energy use, sustainability and total utilization. Diversification of product portfolio and maximum […]
Harvest technology and onboard processing Research and innovation challenges: Modelling the interaction between fish and harvesting equipment. Cost-effective monitoring of harvest species while trawling. Species and size selection during fishing. Fractionation of the catch before onboard handling. Cost- and energy-effective onboard preservation of mesopelagic species. 6) Cost-effective removal of plastics in the open ocean. The […]
Digital decision support for fisheries Research and innovation challenges: Combination of biomarine models and gathered data to generate information of value, such as predictions of future fishing areas. Business models which encourage data sharing and the development of commercial decision support services in the fishing industry. Predicting future fisheries based on biomarine modelling and historic catches is […]
Ecosystem dynamics Research and innovation challenges: Short term prediction of ecosystem characteristics for efficient and sustainable harvesting. Long term prediction of ecosystem dynamics for sustainable management of low trophic species. Knowledge and predictability of ocean ecosystem dynamics and harvest potential are fundamental for the development of sustainable fisheries. Model systems are needed to quantify biomasses […]
Autonomous systems and sensor technology for data collection Research and innovation challenges: Continuous, unattended sampling of the concentrations of zooplankton, mesopelagic fish species and marine plastic litter/microplastic. Surveying and monitoring biomass and plastic concentrations using data-driven data collection strategies. Currently, autonomous vehicles such as AUVs, gliders and ASVs are being used for environmental assessment, geophysical […]