The available database comprises research projects in Fisheries, Aquaculture, Seafood Processing and Marine Biotechnology active in the time period 2003-2022.
BlueBio is an ERA-NET COFUND created to directly identify new and improve existing ways of bringing bio-based products and services to the market and find new ways of creating value from in the blue bioeconomy.

More information on the BlueBio project and participating funding organizations is available on the BlueBio website: www.bluebioeconomy.eu

Last Update: 2024/06/19

SFEP
Fisheries
Swedish Fisheries and Exploitation Patterns: towards a comprehensive characterization of the fine-scale spatiotemporal structure of fishing pressures
National Programme
National
Valerio Bartolino
valerio.bartolino@slu.se
SLU - Swedish University of Agricultural Sciences (Sweden)
FORMAS - Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Sweden)DTU - Technical University of Denmark (Denmark)
2013
2015
€ 333,689
https://www.slu.se/en/departments/aquatic-resources1/research/sustainable-fishery/swedish-fisheries-exploitation-patterns/
The ecosystem approach to fisheries (EAF) increasingly requires spatially resolved fisheries data, and suggests the inadequacy of traditionally aggregated landing and effort data to characterize the actual footprint and impact of the fisheries on the ecosystems. We propose to study the spatial distribution of the Swedish trawl fisheries and their associated pressure through integration of multiple sources of information. In an international perspective, the Swedish fishery logbook provides a unique source of spatial fishery information. We will validate the quality and test the accuracy of the self-reported information in the Swedish fishery logbooks, which is generally lacking. Then, we will develop and validate a modelling framework in order to integrate VMS (Vessel Monitoring System) and logbook information on the spatial distribution of the fishing effort. We propose to apply hidden Markov models to the analysis of VMS data, and extend this approach through the use of logbook data to draw more accurate inference about present and past distribution of the fishing effort, also before the implementation of VMS. This framework will also be used to produce high resolution spatial estimates of the catches, including by-catch species. This level of knowledge can be readily applied to improve marine spatial planning and for evaluating fishing impacts within an EAF. Test and validate Swedish fishery logbook data using independent sources of information and estimate their precision and accuracy. Develop, test and validate an appropriate modelling framework in order to integrate information on the spatial distribution of the fishing effort between VMS and logbook. Characterize the spatial distribution of the fishing effort for those fishing vessels and fisheries not monitored by VMS and back in time to the 1990s. Analysis of the distribution of by-catch and vulnerable species in the demersal trawl fishery in the Skagerrak Identification and temporal persistence of the main fishing grounds for selected species in the Kattegat-Skagerrak.
VMS data; Fish stocks; Environmental impact; Fishing effort; Trawling; Fisheries management; Bycatch; Logbook;
Skagerrak, Kattegat (27.IIIa) Baltic West of Bornholm (27.IIId.24) Southern Central Baltic-West (27.IIId.25)
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