During the first year of TrawledSeas, the research focused primarily on the first objective of the project "the identification and quantification of the impact of bottom trawling on the seafloor morphology at different spatial scales". For this purpose, available data in eight study areas were collected. These include: The Catalan margin, the Malta Plateau and the NW Sicilian margin in the Western Mediterranean, the Norwegian margin in the Norwegian Sea, the Canterbury margin in the S Pacific, the Patagonian margin in the SW Atlantic, the Barkley Canyon in the NE Pacific and the Ireland margin in the NE Atlantic. Data were provided by the host, the secondment and external collaborators, or derived from European and global databases of open geospatial data. Data have been compiled into a geodatabase implemented in a Geographic Information System (GIS). The spatial geodatabase contains mostly high-resolution multibeam data, but also additional geophysical and field data, such as side scan sonographs, surficial sediment samples, sediment cores, seafloor imagery and vessel tracking data. The geodatabase was built using ArcGIS, a software commonly used in the geoscience community, and has been updated by incorporating new data acquired in different oceanographic cruises as well as the results obtained during the first year of the project.
Based on the analysis of bathymetric data in conjunction with acoustic backscatter and side scan sonar data, a new methodology for the quantitatively characterization of trawling impacts on the seafloor morphology at fine and mesoscale has been implemented. At fine scale, the methodological approach focuses on the automatic detection and spatial quantification of trawl-marks (trawl door scars) in backscatter and sidescan sonar images through image processing and analysis. Combining this information with multibeam bathymetric data, the volume of sediment remobilised during the passage of trawl doors was quantified. The application of this approach at large spatial scales has allowed to characterise quantitatively the large-scale morphologies generated by recurrent bottom trawling and assess the volume of sediment remobilised by these activities. The methodology has been developed using a free open source programming language (Python) and GIS software (ArcGIS and QGIS), both widely used and supported, thus improving the transferability of the geomorphometric methodology.